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Objective: We investigated the relation between man papillomavirus (HPV) integration status and the immediate risk of cervical intraepithelial neoplasia (CIN), as well as the triage strategy based on HPV integration test. Methods: 4086 women aged 20 to 65 years in China were enrolled in 2015 for a prospective, population-based, clinical observational study to evaluate the triage performance of HPV integration. Cervical exfoliated cells were collected for HPV testing and cytologic test. If high-risk HPV was positive, HPV integration test was performed at baseline, 2-year and 5-year follow-up. Results: At baseline, HPV integration was positively correlated with the severity of cervical pathology, ranging from 5.0% (15/301) in normal diagnosis, 6.9% (4/58) in CIN1, 31.0% (9/29) in CIN2, 70% (14/20) in CIN3, and 100% (2/2) in cervical cancer (P < 0.001). Compared with cytology, HPV integration exhibits comparable sensitivity and negative predictive value for the diagnosis of CIN3+, higher specificity (92.8% [90.2%–95.4%] vs. 75.5% [71.2%–79.8%], P < 0.001) and higher positive predictive value (36.4% [22.1%–50.6%] vs. 15.2% [8.5%–21.8%], P < 0.001). HPV integration testing strategy yielded a significantly lower colposcopy referral rate than cytology strategy (10.7% [44/410] vs. 27.3% [112/410], P < 0.001). The HPV integration-negative group exhibited the lowest immediate risk for CIN3+ (1.6%) and accounted for the largest proportion of the total population (89.3%), when compared with the normal cytology group (risk, 1.7%; proportion, 72.7%). Conclusion: As a key molecular basis for the development of cervical cancer, HPV integration might be a promising triage strategy for HPV-positive patients.

Abstract Eliciting broadly neutralizing antibodies that protect against diverse HIV-1 strains is a primary goal of AIDS vaccine research. We characterized Ab1456 and Ab1271, two heterologously-neutralizing antibodies elicited in non-human primates by priming with an engineered V3-targeting SOSIP Env immunogen and boosting with increasingly native-like SOSIP Envs derived from different strain backgrounds. Structures of Env trimers in complex with these antibodies revealed V3 targeting, but on conformational states of Env distinct from the typical closed, prefusion trimeric SOSIP structure. Env trimers bound by Ab1456 adopted conformations resembling CD4-bound open Env states in the absence of soluble CD4, whereas trimers bound by Ab1271 exhibited a trimer apex-altered conformation to accommodate antibody binding. The finding that elicited antibodies cross-neutralized by targeting altered, non-closed, prefusion Env trimer conformations provides important information about Env dynamics that is relevant for HIV-1 vaccine design aimed at raising antibodies to desired epitopes on closed pre-fusion Env trimers.

Abstract Background The CALLY index, which is derived from C-reactive protein (CRP) content, serum albumin level, and total lymphocyte count, reflects the immune, nutritional, and inflammatory status of the body. Lack of sufficient evidence on the correlation between the CALLY index and the prognosis of cancer patients with various cancer forms. This study seeks to elucidate the association between the CALLY index and mortality from all causes as well as specific causes in cancer patients within a U.S. population. Methods This investigation encompassed 3511 cancer-afflicted adults from the National Health and Nutritional Examination Surveys (NHANES) spanning 1999 to 2018. The CALLY index was measured at baseline only. The relationship between the CALLY index and mortality from both all causes and cancer specifically was examined using Cox proportional hazards models. Additionally, restricted cubic spline, piecewise linear regression, and various subgroup and sensitivity analyses were employed. Results Over a median follow-up of 103 months, 1,355 deaths occurred, and the incidence of all-cause mortality for these participants was 38.34%. Our findings indicate that an elevated CALLY index correlates with a diminished risk of all-cause mortality. Upon applying a natural logarithmic transformation to the CALLY index, the comprehensively adjusted model revealed that each one-unit increment in ln CALLY corresponded to a 18% decrease in all-cause mortality risk among cancer patients (HR = 0.82, 95% CI:0.79–0.86). Analyses of mortality due to cardiac and cancer-related causes yielded consistent results, which were robust across various subgroup and sensitivity analyses. Conclusion The CALLY index demonstrated a linear and negative association with all-cause mortality, as well as mortality caused by cancer and cardiac conditions, highlighting its significant prognostic value in patients with oncological conditions.

Abstract Objectives Hepatocyte nuclear factor 4α (HNF4α) is a key regulator of hepatocyte function and has a strong therapeutic effect on hepatocellular carcinoma (HCC) by inducing the differentiation of hepatoma cell into hepatocytes. Our previous study showed that Tribbles homolog 3 (TRIB3) directly interacts with and promotes the degradation of HNF4α in non-alcoholic fatty liver disease (NAFLD). Disrupting the TRIB3–HNF4α interaction by a cell-permeating peptide, called P-T3H2, stabilized HNF4α protein. This study aimed to assess the anti-tumor impact of P-T3H2 in HCC. Methods The expression of TRIB3 and HNF4α was evaluated using western blot and immunohistochemistry (IHC). Hepatic functions and cellular senescence of HCC cells were evaluated through periodic acid-Schiff (PAS) staining, acetylated low-density lipoprotein (ac-LDL) uptake and senescence-associated β-galactosidase (SA-β-gal) activity staining, respectively. RNA-Seq analysis was performed to identify differentially expressed genes in Huh7 cells treated with P-T3H2. The impact of P-T3H2 on HCC malignancy was assessed in vitro and in vivo. Results TRIB3 exhibited a negative correlation with HNF4α in both human and mouse HCC tissues. The administration of P-T3H2 significantly inhibited the malignancy of HCC cells. Additionally, P-T3H2 stabilized HNF4α protein and facilitated the restoration of hepatic functions and the cellular senescence in HCC cells. RNA-Seq analysis demonstrated that P-T3H2 enhanced the transcriptional activity of HNF4α in HCC. Furthermore, P-T3H2 effectively suppressed the carcinogenesis and progression of HCC in mice. Conclusion P-T3H2 suppressed HCC progression through the stabilization of HNF4α protein and may be a promising therapeutic candidate for clinical application in the treatment of HCC.

Abstract Introduction Sepsis and cancer are both leading causes of death worldwide, and they share several pathophysiological characteristics. Some studies have suggested a possible association between sepsis and cancer; however, few have investigated the core genes involved in both diseases. Methods Core genes common to both sepsis and cancer were identified using pediatric sepsis datasets (GEO: GSE26378, GSE4607, GSE8121 and GSE13904) and cancer databases (TCGA: BRCA, COADREAD, ESCA, KIRC, LIHC, LUAD, STAD). Gene Ontology (GO) and Reactome enrichment analyses, along with a protein–protein interaction (PPI) network analysis, were performed. Pharmacophore screening was applied to predict the targets of oxymatrine and ulinastatin, and potential target genes shared by both cancer and sepsis were identified. Survival analysis was performed. The association between the target genes and tumor size and number of positive lymph nodes was investigated by Pearson correlation analysis. The association between the target genes and tumor stage was investigated by Fisher’s exact test. Molecular docking analysis was performed to evaluate the affinity of the candidate drugs for their targets. Results A total of 641 common genes were identified. GO enrichment analysis showed that common genes were enriched in neutrophil degranulation, inflammatory response and innate immune response. Reactome enrichment analysis showed that common genes were enriched in neutrophil degranulation, interleukin-4 and interleukin-13 signaling, transcriptional regulation of granulopoiesis and interleukin-10 signaling. The PPI network showed that the top 10 core genes were TLR4, IL1B, IL10, ITGAM, TLR2, PTPRC, CDK1, FOS, MMP9 and ITGB2. The survival analysis showed that the high expression of BCAT1, CSAD, G6PD, GM2A, MMP9, PYGL and TOP2A was associated with poorer prognosis in several cancers. Molecular docking showed that oxymatrine and ulinastatin can bind to protein targets with highly stable binding. Conclusions We identified genes with common effects on both childhood sepsis and cancer, which provides new insights into the association between sepsis and cancer. In addition, two drugs with potential clinical application value were identified. Further studies are required to validate the role of these common core genes in sepsis and cancer and to evaluate the potential utility of these drugs.

Abstract Immunotherapy targeting programmed cell death-1 (PD-1) and PD-L1 immune checkpoints has reshaped treatment paradigms across several cancers, including breast cancer. Combining PD-1/PD-L1 immune checkpoint blockade (ICB) with chemotherapy has shown promising efficacy in both early and metastatic triple-negative breast cancer, although only a subset of patients experiences durable responses. Identifying responders and optimizing immune drug selection are therefore critical. The effectiveness of PD-1/PD-L1 immunotherapy depends on both tumor-intrinsic factors and the extrinsic cell-cell interactions within the tumor microenvironment (TME). This review systematically summarizes the key findings from clinical trials of ICBs in breast cancer and examines the mechanisms underlying PD-L1 expression regulation. We also highlight recent advances in identifying potential biomarkers for PD-1/PD-L1 therapy and emerging evidence of TME alterations following treatment. Among these, the quantity, immunophenotype, and spatial distribution of tumor-infiltrating lymphocytes stand out as promising biomarkers. Additionally, we explore strategies to enhance the effectiveness of ICBs in breast cancer, aiming to support the development of personalized treatment approaches tailored to the unique characteristics of each patient’s tumor.

Abstract Background Our previous small-sample study indicated that serum levels of interleukin enhancer binding factor 2 (ILF2) may have the potential for gastric cancer (GC) detection. The present study was conducted to further validate the diagnostic value of serum ILF2 protein for GC. Methods Serum specimens and clinical data were collected from patients with GC (n = 99) or benign gastric disease (BGD) (n = 49) and healthy controls (HC) (n = 51). Serum ILF2 levels were measured using enzyme-linked immunosorbent assay. The diagnostic performance of ILF2 was evaluated using the area under the receiver operating characteristic curve (AUC). The independence and synergy of ILF2 in GC diagnosis were analyzed by modeling with conventional blood indicators. Results The median serum ILF2 level was higher in the GC group (227.8ng/mL) than in the BGD group (72.0ng/mL) and the HC group (56.8ng/mL) (p

Abstract Background There is an unmet clinical need to enhance the response rate and safety of anti-PD-1/PD-L1-based cancer immunotherapy (IO). Herein, we presented the clinical study of IBI318 (LY3434172), a first-in-class bispecific antibody (bsAb) targeting PD-1 and PD-L1, in patients with advanced tumors. Methods In this open-label, multicenter Phase Ia/Ib study of IBI318, the Phase Ia involved dose escalation and a safety dose expansion, while the Phase Ib focused on preliminary safety and efficacy evaluation in non-small cell lung cancer (NSCLC) and nasopharyngeal carcinoma (NPC). In Phase Ia, patients with advanced tumors received IBI318 doses ranging from 0.3 to 1200 mg every two weeks (Q2W) to determine the recommended Phase 2 dose (RP2D). In Phase Ib, NSCLC or NPC patients from five cohorts with varying treatment histories received IBI318 at the RP2D. The primary endpoint was safety and the secondary endpoints included efficacy assessed by investigators according to RECIST v1.1, pharmacokinetics, immunogenicity, and pharmacodynamics. Results From February 11, 2019, to January 25, 2022, a total of 103 eligible patients were enrolled (Phase Ia, n = 55; Phase Ib, n = 48). The median follow-up was 10.1 months (range 0.7–28.6). The RP2D was determined to be 300 mg Q2W. Treatment-related adverse events (TRAEs) of any grades occurred in 88 patients (85.4%), while 10 patients (9.7%) experienced grade ≥ 3 TRAEs. The objective response rate (ORR) was 15.5% and the disease control rate (DCR) was 49.5% in all patients. In Phase Ib, the confirmed ORR was 45.5% in treatment-naïve NSCLC patients and 30.0% in IO-naïve NPC patients who had failed or were intolerant to platinum-based treatments. Conclusions IBI318 demonstrated a favorable safety profile and preliminary efficacy in treatment-naïve NSCLC and IO-naïve NPC patients. Further clinical studies are needed to assess the full therapeutic potential of PD-1/PD-L1 dual inhibition with bsAbs.

Abstract Background Apoptosis and apoptotic genes play a critical role in the carcinogenesis and progression of bladder cancer. However, there is no prognostic model established by apoptotic genes. Methods Messenger RNA (mRNA), Expression data, and related clinical data were obtained from The Cancer Genome Atlas (TCGA) database and Gene Expression Omnibus (GEO) database. After extracting the apoptosis-related genes, the survival-related apoptosis genes were screened by univariate Cox regression analysis in the TCGA cohort. Following the Least Absolute Shrinkage and Selection Operator (LASSO) regression method, these genes were modeled by multivariate Cox analysis. The predictive abilities of the Apoptosis-Related Gene Model (ARGM) for overall survival (OS) rate, disease-specific survival (DSS) measures, and progression-free survival (PFS) were verified by the Kaplan–Meier(K-M)survival analysis and time-dependent Receiver Operating Characteristic (ROC) curve. Functional enrichment analyses were performed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genome (KEGG). CIBERSORT and Single-Sample Gene Set Enrichment Analysis (ssGSEA) were used to calculate the type of immune cell infiltration and immune functions. The model’s predictive ability for immunotherapy were evaluated using Tumor Immune Dysfunction and Exclusion (TIDE) and the Imvigor210 study.The single-cell sequencing was used to display the expression level of the ARGM.Finally,qRT-PCR was executed to validate the expression level of ARGM. Results Several apoptosis genes were identified through the model, including ANXA1, CASP6, CD2, F2, PDGFRB, SATB1, and TSPO. The prognostic value of the model for OS, DSS, and PFS were verified using the TCGA and GEO cohort. The model can predict patient response to immunotherapy treatment as established through the model’s score which was linked to different types of immune cell infiltration and identified significant differences in the signal pathways between high-risk and low-risk groups. Nomogram variables, prompted from ARGM and clinical parameters, also generate a high predictive value for patient survival. Conclusion Ourestablished apoptosis-related gene model (ARGM) has a substantial predictive value for prognosis and immunotherapy of bladder cancer. It may help with clinical consultation, clinical stratification, and treatment selection. The immune infiltration status and signal pathway of different risk groups also provide direction for further research.

Abstract Background Cutaneous malignant melanoma is a very aggressive and metastatic form of skin cancer, typically linked with poor outcomes. Advances in genomic analysis have underscored the crucial role of T cells in tumor immunity. Immune checkpoint inhibitors have notably transformed melanoma treatment by boosting T cell activity. Studies of gene expression have found that the phosphatidylinositol-4-phosphate kinase 2A (PIP4K2A) gene is abnormally expressed in various tumors, indicating its potential role in tumor progression. Utilizing single-cell sequencing and machine learning, researchers can now explore the complex interactions between T cells and melanoma cells at a genomic level. This study aimed to investigate the role of the PIP4K2A gene in cutaneous malignant melanoma, with a focus on its influence on T cell-mediated immune responses. Methods Samples from cutaneous melanoma patients were analysed by single-cell transcriptome for differentially expressed genes and signalling pathways associated with cutaneous melanoma. Then, genes were identified and predictive models were built based on the transcriptomic data using machine learning models to assess whether the expression level of PIP4K2A could effectively predict the malignancy and prognosis of cutaneous melanoma. In addition, we also performed drug therapy predictive analysis and immunotherapy analysis.Finally, the critical role of PIP4K2A in cutaneous melanoma was further confirmed by immunohistochemistry. Results The PIP4K2A gene exhibited a significantly elevated expression level in cutaneous malignant melanoma, showing a strong correlation with the clinical stage and patient prognosis. At the therapeutic level, high PIP4K2A expression is less responsive to immunotherapy, and this gene is a risk factor for drug therapy in cutaneous malignant melanoma. Additionally, our experimental outcomes validated this observation. Conclusions The PIP4K2A gene could be a crucial prognostic marker for cutaneous malignant melanoma, as it significantly affects T cell activity within the tumor microenvironment. This study offers essential insights into melanoma pathogenesis and assists in pinpointing new early diagnostic markers and therapeutic targets. Utilizing advanced genomic tools and computational techniques, the research enhances our understanding of T cell dynamics in melanoma, facilitating the development of personalized medicine and more effective immunotherapy strategies.

Abstract Objectives To investigate the feasibility and effectiveness of a deep learning (DL) super-resolution (SR) ultrasound image reconstruction model for predicting cervical lymph node status in patients with papillary thyroid carcinoma(PTC). Methods In this retrospective study, researchers recruited 544 patients with PTC and randomly assigned them to training and test sets. SR ultrasound images were acquired using SR technology to improve image resolution, and artificial features and DL features were extracted from the original (OR) and SR images, respectively, to construct a ML, DL model. The best model was selected and aggregated with clinical parameters to construct the nomogram. The performance of the model is evaluated by ROC curves, calibration curves and decision curves. Results In distinguishing the presence or absence of metastatic lymph nodes, the predictive performance of the SR_ResNet 101 and SR_SVM models based on SR outperformed those based on OR. In the test set, SR_SVM AUC was 0.878 (95% CI 0.8203–0.9358), accuracy 0.854, while OR_SVM AUC was 0.822 (95% CI 0.7500–0.8937), accuracy 0.665. SR_ResNet 101 AUC was 0.799 (95% CI 0.7175–0.8806), accuracy 0.793, and OR_ResNet101 AUC was 0.751 (95% CI 0.6620–0.8401), accuracy 0.713. Subsequently, Nomogram_A and Nomogram_B were constructed by integrating the SR_SVM model and SR_ResNet 101 model, respectively, with clinical parameters, while Nomogram_C was constructed solely based on clinical indicators. In the test set, Nomogram_A demonstrated the best performance with an AUC of 0.930 (95% CI 0.8913–0.9682) and accuracy was 0.829. Nomogram_B AUC 0.868 (95% CI 0.8102–0.9261) and accuracy was 0.829, while Nomogram_C AUC 0.880 (95% CI 0.8257–0.9349) and accuracy was 0.787. The DeLong test revealed that the diagnostic performance of Nomogram_A based on SR_SVM was significantly higher than that of Nomogram_B, Nomogram_C, and the level of Radiologist (P

Abstract Background LncRNAs play essential roles in multiple tumors. However, research on genome-wide lncRNA alterations and their functions in cervical cancer (CC) is limited. This study aims to explore key lncRNAs in CC progression and uncover the molecular mechanisms involved in the development of CC. Methods In this study, we analyzed 30 tissues from CC, cervical intraepithelial neoplasia (CIN), and normal (NOR) using transcriptome sequencing and weighted gene co-expression network analysis to establish gene modules related to the NOR-CIN-CC transition. Machine learning diagnostic models were employed to investigate the role of lncRNAs in this transition. Molecular biological experiments were conducted to elucidate the potential mechanisms of CARMN in CC, with a particular focus on its transcriptional and post-transcriptional regulation of abnormal expression in CC. Results CARMN was identified as a hub gene in two modules significantly associated with the NOR-CIN-CC transition. Analysis using ten machine learning models confirmed its critical role in this progression. The results of RNA-seq, qPCR and RNAScope performed in another cohort of 83 cervical tissues all showed that CARMN was significantly downregulated in CC. CARMN significantly enhanced the interaction between Keap1 and Nrf2, leading to increased ROS levels. The elevated ROS levels suppressed the Akt/mTOR signaling pathway, leading to autophagy arrest via autophagic flux blockade. Additionally, CARMN interacted with TFAP2α to repress MAPK13 transcription, further inhibiting the MAPK cascade. A promoter SNP (rs12517403) was found to increase CC risk (OR = 1.34, 95% CI = 1.11–1.61) and reduce CARMN expression by decreasing SP1 binding. Furthermore, the RNA binding proteins that could modulate CARMN RNA stability were also determined using RNA-pulldown assay. The results demonstrated that YBX1, a component of the coding region instability determinant (CRD)-mediated mRNA stabilization complex, promoted CARMN RNA stability. DHX9, another component of complex, acted as a scaffold to bridge YBX1 and CARMN. Conclusions CARMN exerts an anti-cancer effect in CC progression by inhibiting the Akt-mTOR and MAPK signaling pathways. rs12517403 and the YBX1/DHX9 complex are key mechanisms influencing its transcription and stability in CC cells. CARMN represents a promising biomarker for CC diagnosis and therapeutic target.

Abstract Background Circular RNAs (circRNAs) are important regulators for ovarian cancer (OC). Circ_0001741 has been found to be highly expressed in OC samples and is involved in regulating paclitaxel resistance in OC cells. Therefore, circ_0001741 may play a vital role in OC process, and its potential molecular mechanism is worth further revealing. Methods Circ_0001741, miR-491-5p, and PRSS8 levels in OC tumor tissues and cells were quantified by quantitative real-time PCR or western blot. The proliferation, apoptosis and metastasis of OC cells were detected by cell counting kit 8 assay, Edu assay, flow cytometry, and transwell assay. RNA interaction was verified by dual-luciferase reporter assay and RIP assay. Xenograft assay was used to detect the effect of circ_0001741 knockdown on OC tumor growth in vivo. Results Circ_0001741 was upregulated in OC tissues and cell lines. Knockdown of circ_0001741 repressed OC cell proliferation, metastasis, and enhanced apoptosis. Mechanistically, miR-491-5p was targeted by circ_0001741, and miR-491-5p inhibitor could attenuate the effect of circ_0001741 silencing on OC cell progression. Meanwhile, PRSS8 was a target of miR-491-5p, and miR-491-5p overexpression inhibited OC cell progression by targeting PRSS8. Circ_0001741 regulated PRSS8 expression by sponging miR-491-5p. Besides, circ_0001741 knockdown also inhibited OC tumor growth in vivo. Conclusion Our data showed that circ_0001741 could promote the growth and metastasis of OC cells through the miR-491-5p/PRSS8 axis, which provided a potential molecular target for the treatment of OC.

Abstract Digestive system neoplasms are a heterogeneous group of cancers characterized by diverse symptoms, complex diagnosis, and treatment. Prognosis is poor and influenced by multiple factors, making early detection and comprehensive treatment crucial for patient survival. Kaempferol, a flavonoid compound, has attracted attention due to its anti-tumor biological activity, holding promise as a potential drug for treating digestive system neoplasms. Derived from various plants such as cabbage, propolis, and grapefruit, this compound's anti-inflammatory, antioxidant, and other pharmacological effects have been confirmed. Research has found that kaempferol inhibits the occurrence and development of digestive system neoplasms by inducing apoptosis in cancer cells, inhibiting tumor cell proliferation, suppressing tumor metastasis and invasion, and enhancing the effects of other cancer treatment methods. This paper summarizes the role and mechanisms of kaempferol in the study of digestive system neoplasms, providing valuable insights for both scientists and clinical physicians engaged in this field. By detailing the various pathways through which kaempferol exerts its anticancer effects, the paper not only highlights its potential as a therapeutic agent but also opens avenues for further research into its applications.

Abstract The formation of human collagen requires the presence of Prolyl 3-hydroxylase 1 (P3H1), but the regulatory mechanism of P3H1 remained insufficiently understood. Our study aimed to identify the role of P3H1 in clear cell renal cell carcinoma (ccRCC). P3H1 expression in ccRCC was validated using multiple databases and in vitro experiments. We performed a correlation analysis of P3H1 with drug sensitivity, immune checkpoints, and immune cell infiltration using transcriptome and single-cell sequencing. Drawing upon the Encyclopedia of RNA Interactomes database, we selected P3H1 as the focal point of our investigation, meticulously uncovering the intricate network of microRNAs and lncRNAs that potentially orchestrate ceRNA mechanisms. This study employs a multidimensional approach integrating vitro assays and multi-omics bioinformatics analyses to investigate P3H1’s impact on ccRCC prognosis, immune modulation, immune checkpoints, ceRNA regulatory network, drug sensitivity, and therapeutic responses, aiming to uncover new insights into its therapeutic potential and inform future clinical strategies.

Abstract Rotaviruses pose a significant threat to young children. To identify novel pro- and anti-rotavirus host factors, we performed genome-wide CRISPR/Cas9 screens using rhesus rotavirus and African green monkey cells. Genetic deletion of either SERPINB1 or TMEM236, the top two antiviral factors, in MA104 cells increased virus titers in a rotavirus strain independent manner. Using this information, we optimized the existing rotavirus reverse genetics systems by combining SERPINB1 knockout MA104 cells with a C3P3-G3 helper plasmid. We improved the recovery efficiency and rescued several low-titer rotavirus reporter and mutant strains that prove difficult to rescue otherwise. Furthermore, we demonstrate that TMEM236 knockout in Vero cells supported higher yields of two live-attenuated rotavirus vaccine strains than the parental cell line and represents a more robust vaccine-producing cell substrate. Collectively, we developed a third-generation optimized rotavirus reverse genetics system and generated gene-edited Vero cells as a new substrate for improving rotavirus vaccine production.

Xiaoqin Ji,1,&ast; Xuebing Shi,2,&ast; Jun Hu,3 Wanrong Jiang,3 Bin Zhou,3 Houlong Zhou,3 Xi Yuan,3 Yikun Li,3 Hua Huang,3 Jiasheng Wang,3 Wei Ding,3 Yong Wang,4 Xiangdong Sun3 1Department of Radiation Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People’s Republic of China; 2Department of Radiation Oncology, Nanjing Jiangbei Hospital, Nanjing, People’s Republic of China; 3Department of Radiation Oncology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, People’s Republic of China; 4Department of Outpatient Clinic, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Yong Wang; Xiangdong Sun, Email 292917354@qq.com; sunxd_81@126.comPurpose: The objective of this study was to compare the clinical outcomes of stereotactic body radiation therapy (SBRT) in elderly patients aged 65 or older with clinical stage I–II non-small-cell lung cancer (NSCLC), specifically examining the differences between centrally located lung tumors and peripherally located lung tumors.Methods: From April 2009 to January 2020, a total of 136 patients with 136 tumors (65 central, 71 peripheral; NSCLC) at an early stage (T1-3N0M0) were treated with SBRT at a single institution. Central/peripheral location was assessed retrospectively on planning CT scans. A propensity score matching analysis was utilized to compare the two groups. In addition, the prognosis and related toxicity were compared between the two study arms.Results: A total of 33 central tumors and 33 peripheral tumors were matched and analyzed. The results showed no significant differences in overall survival (OS) and progression-free survival (PFS) between the two groups. The 2-year OS was 71.88% (95% CI, 57.87%-89.27%) in the central lung cancer group, while it was 93.94% (95% CI, 86.14%-100.00%) in the peripheral lung cancer group (P=0.462). The 2-year PFS was 43.75% in the central lung cancer group, while it was 78.79% in the peripheral lung cancer group (P=0.279). Further subgroup analysis indicated that the location of peripheral tumor have a positive impact on OS in patients with adenocarcinoma. The occurrence of local failure, regional failure, or distant failure was comparable between central and peripheral tumors. There was no statistically significant difference in toxicity between the central and the peripheral tumor groups.Conclusion: The outcomes of SBRT for central tumors versus peripheral lung tumors in elderly patients with early-stage NSCLC were similar. SBRT demonstrated a similar level of safety in terms of toxicity for both central and peripheral lung tumors.Keywords: Non-small cell lung cancer, stereotactic body radiation therapy, central lung cancer, elderly patients, propensity score matching

Abstract Glioma has a poor prognosis, which is attributable to its inherent characteristics and lack of specific treatments. Immunotherapy plays a pivotal role in the contemporary management of malignancies. Despite the initiation of numerous immunotherapy-based clinical trials, their effects on enhancing glioma prognosis remain limited, highlighting the need for innovative and effective therapeutic targets and strategies to address this challenge. Since the 1990s, there has been a growing interest in cancer-testis antigens (CTAs) present in normal mammalian testicular germ cells and placental trophoblast cells, which exhibit reactivated expression in various tumor types. Mechanisms such as DNA methylation, histone modification, transcriptional regulation, and alternative splicing influence the expression of CTAs in tumors. The distinct expression patterns and robust immunogenicity of CTAs are promising tumor biomarkers and optimal targets for immunotherapy. Previous reports have shown that multiple CTAs are present in gliomas and are closely related to prognosis. The expression of these antigens is also associated with the immune response in gliomas and the effectiveness of immunotherapy. Significantly, numerous clinical trials, with IL13RA2 as a representative CTA member, have assessed the immunotherapeutic potential of gliomas and have shown favorable clinical efficacy. This review provides a comprehensive overview of the regulation and function of CTAs, summarizes their expression and role in gliomas, emphasizes their importance as immunotherapy targets in gliomas, and discusses related challenges and future interventions.

Abstract Early T-cell precursor lymphoblastic leukemia/lymphoma (ETP-ALL/LBL) is a distinct subtype of T-ALL/LBL, characterized by a poor response to initial chemotherapy, a high relapse rate, and an inferior outcome. The treatment options for ETP-ALL/LBL are currently limited, and there are no reported clinical trials available for ETP-ALL/LBL. From June 2018 to June 2022, we conducted a single-arm, single-center, phase 2 trial (NCT03553238) in newly diagnosed ETP-ALL/LBL (age 14–55). Patients (N = 54) received pediatric-inspired chemotherapy plus tucidinostat, which was orally administered once daily at a dosage of 10 mg from induction to consolidation therapy. The primary endpoint was 3 year event-free survival (EFS). Secondary endpoints were overall survival (OS), relapse-free survival (RFS), complete remission rate and adverse events. The composite complete remission (CRc, complete response [CR] plus complete response with incomplete blood count recovery [CRi]) rate and MRD negativity after induction therapy was 91% (49 of 54 patients) and 65% (35 of 54 patients), respectively. The MRD negativity after consolidation was achieved in 87% patients (47 of 54 patients). With a median follow-up of 39.3 months (IQR, 20.6 to 60.0), the 3 year EFS rate was 67.7% (95% CI 56.2–81.7), the 3 year OS rate was 71.5% (95% CI 60.2–84.9) and the 3 year RFS rate was 67.5% (95% CI 55.9–81.6). The most common grade 3–4 adverse events were neutropenia (94%), anemia (85%), thrombocytopenia (76%), and infection (53%). Tucidinostat plus pediatric regimen is an effective and well-tolerated regimen for new diagnosed ETP-ALL/LBL, with high CRc and MRD negativity rates, as well as encouraging survival outcomes.

Abstract Hemorrhagic fever with renal syndrome (HFRS) occurs throughout Eurasia with considerable morbidity and mortality. Currently, the absence of specific treatments or effective antiviral drugs for hantavirus infection makes developing safe and effective vaccines a high priority. Here, we report the development of three novel nucleic acid vaccine candidates, mRNA, naked DNA, and DNA encapsulated in lipid nanoparticles, encoding the glycoproteins of the Hantaan virus (HTNV). To comprehensively evaluate the potential of candidate HTNV nucleic acid vaccines in preventing HFRS, we focus on evaluating their immunogenicity and efficacy in mice and comparing them with an inactivated vaccine as the benchmark. Our findings reveal that all candidate vaccines activated instant and sustained immune responses, offering comparable in vivo protective efficacy to the inactivated vaccines. Notably, compared to the inactivated vaccine, mRNA vaccine induced stronger virus-specific T-helper 1 cell immune response, while DNA-LNP elicited higher levels of neutralizing antibodies in mice. These results mark a significant step in developing nucleic acid vaccines for HTNV, suggesting that sequential immunization with DNA and mRNA vaccines could further amplify the advantages of nucleic acid vaccines.

Abstract Background Sentinel lymph node (SLN) biopsy (SLNB) is considered the gold standard for detecting SLN metastases in patients with invasive ductal breast cancer (IDC). However, SLNB is invasive and associated with several complications. Thus, this study aimed to evaluate the diagnostic performance of a non-invasive radiomics analysis utilizing 2-deoxy-2-[18F]fluoro-d-glucose positron emission tomography/computed tomography (18F-FDG-PET/CT) for assessing SLN metastasis in IDC patients. Methods This retrospective study included 132 patients with biopsy-confirmed IDC, who underwent 18F-FDG PET/CT scans prior to mastectomy or breast-conserving surgery with SLNB. Tumor resection or SLNB was conducted within one-week post-scan. Clinical data and metabolic parameters were analyzed to identify independent SLN metastasis predictors. Radiomic features were extracted from each PET volume of interest (VOI) and CT-VOI. Feature selection involved univariate and multivariate logistic regression analysis, and the least absolute shrinkage and selection operator (LASSO) method. Three models were developed to predict SLN status using the random forest (RF), decision tree (DT), and k-Nearest Neighbors (KNN) classifiers. Model performance was assessed using the area under the receiver operating characteristic curve (AUC). Results The study included 91 cases (32 SLN-positive and 59 SLN-negative patients) in the training cohort and 41 cases (29 SLN-positive and 12 SLN-negative patients) in the validation cohort. Multivariate logistic regression analysis identified Ki 67 and TLG as independent predictors of SLN status. Five PET-derived features, three CT-derived features, and two clinical variables were selected for model development. The AUC values of the RF, KNN, and DT models for the training cohort were 0.887, 0.849, and 0.824, respectively, and for the validation cohort were 0.856, 0.830, and 0.819, respectively. The RF model demonstrated the highest accuracy for the preoperative prediction of SLN metastasis in IDC patients. Conclusion The PET-CT radiomics approach may offer robust and non-invasive predictors for SLN status in IDC patients, potentially aiding in the planning of personalized treatment strategies for IDC patients.

Abstract Background RNA editing from A (adenine nucleotide) to I (hypoxanthine nucleotide) mediated by ADARs has attracted more and more attention as an important post-transcriptional processing method. This research investigates the regulatory mechanism of A-to-I-edited miR-1251-5p in lung adenocarcinoma (LUAD). Methods RT-qPCR, Western blot, and Immunohistochemistry assays measured miRNA and gene expression. Colony formation, CCK-8, Transwell, Wound-healing, and Animal assays were used to determine MiRNA function. Luciferase reporter assay tested miRNA downstream target. Results ADAR1 increased the A-to-I editing efficiency of miR-1251-5p in LUAD cells. In comparison to the unedited wild-type form, edited miR-1251-5p exhibits a marked inhibition of tumor growth and metastasis in LUAD. Moreover, knockdown of TCF7 also exhibits tumor inhibitory effect in LUAD development. Mechanically, edited miR-1251-5p inactivates Wnt signaling pathway by inhibiting TCF7, MYC, and CCND1 expression. Conclusion Compared with original miR-1251-5p, edited miR-1251-5p has stronger anti-cancer effect on LUAD development through inactivating Wnt signaling pathway by inhibiting TCF7.

Abstract Lacrimal adenoid cystic carcinoma (LACC) is one of the most common malignant epithelial tumors of the lacrimal gland, characterized by high rates of local recurrence, distant metastases, and tumor-related mortality. This malignancy impairs the lacrimal gland's ability to secret tears, thereby disrupting the normal function of the ocular surface. Due to ineffective diagnostic approaches and the complex anatomical location of the lacrimal gland within the orbit, many LACC patients are often diagnosed at the later stages. Therefore, it is urgent to develop a simple and convenient method for early detection of LACC through biomarker analysis by liquid biopsies, such as blood or tears. Various microRNAs (miRNAs) derived from liquid biopsies have been shown to serve as biomarkers for early diagnosis of tumors. In the present study, we screened LACC-specific miRNAs using miRNA microarray analysis in both primary and recurrent patient groups. We then validate their expression by qPCR experiments conducted in tissues, cell lines, tear fluid and serum to explore the association between these miRNAs and LACC development and prognosis. Our findings reveal that hsa-miR-200b-3p, hsa-miR-200c-3p and hsa-miR-141-3p are significantly upregulated in LACC, and the microarray data showed that these three miRNAs were significantly elevated in the recurrence group compared to the primary group. In conclusion, detecting miRNA expression in tear fluid and serum provides non-invasive biomarkers for the early diagnosis of LACC and may facilitate monitoring outcomes related to lacrimal gland diseases.

Abstract Purposes T cells play a crucial role as regulators of anti-tumor activity within the tumor microenvironment (TME) and are closely associated with the progression of osteosarcoma (OS). Nevertheless, the specific role of T cell-related genes (TCRGs) in the pathogenesis of OS remains unclear. Methods First, we processed single-cell RNA sequencing (scRNA-seq) data of OS from the public databases and performed cell annotation. We identified highly variable genes in each cell type using the "FindAllMarkers" function, explored the distribution of different clusters, and investigated inter-cellular communication patterns via the "CellChat" framework. Then, we used multivariate Cox analysis to construct a TCRG and developed a nomogram to predict survival probabilities for OS patients. Finally, we validated the aforementioned results using various cell lines and investigated the immune cell infiltration, expression of immune checkpoints, chemotherapy sensitivity, and the efficacy of targeted therapies across different risk groups. Results From the scRNA-seq data, we identified 3,000 highly variable genes, presented the top 10 genes, and validated the expression of core genes across different cell lines.Moreover, our analysis delved into interactions between T cells and other cell types. Our analyses constructed a predictive T cell-related signature (TCRS) that incorporated these prognostic TCRGs, showing a clear prognostic separation between the high-risk and low-risk OS patient groups in multiple cohorts. Survival analysis indicated better outcomes for patients classified in the high-risk group. The low-risk group exhibited elevated levels of CD4 memory resting T cells, contrasting with the higher levels of macrophage M0 observed in the high-risk group via the CIBERSORT algorithm. Furthermore, we observed that the low-risk group exhibitedAQ1 significant up-regulation of immune checkpoint genes (ICGs) and lower Tumour Immune Dysfunction and Exclusion (TIDE) scores, suggesting that they may be suitable for immunotherapy. Conversely, the high-risk group appeared more responsive to chemotherapy and targeted therapies, according to our drug sensitivity analysis. Conclusion In conclusion, our study identified TCRGs, constructed and validated a TCRS for OS, and assessed immune response and drug sensitivity in different risk groups of OS patients. These findings provide novel insights into personalized treatment strategies for OS, potentially guiding more effective therapeutic interventions.

Abstract Purpose To conduct a head-to-head comparison between deep learning (DL) and radiomics models across institutions for predicting microvascular invasion (MVI) in hepatocellular carcinoma (HCC) and to investigate the model robustness and generalizability through rigorous internal and external validation. Methods This retrospective study included 2304 preoperative images of 576 HCC lesions from two centers, with MVI status determined by postoperative histopathology. We developed DL and radiomics models for predicting the presence of MVI using B-mode ultrasound, contrast-enhanced ultrasound (CEUS) at the arterial, portal, and delayed phases, and a combined modality (B + CEUS). For radiomics, we constructed models with enlarged vs. original regions of interest (ROIs). A cross-validation approach was performed by training models on one center’s dataset and validating the other, and vice versa. This allowed assessment of the validity of different ultrasound modalities and the cross-center robustness of the models. The optimal model combined with alpha-fetoprotein (AFP) was also validated. The head-to-head comparison was based on the area under the receiver operating characteristic curve (AUC). Results Thirteen DL models and 25 radiomics models using different ultrasound modalities were constructed and compared. B + CEUS was the optimal modality for both DL and radiomics models. The DL model achieved AUCs of 0.802–0.818 internally and 0.667–0.688 externally across the two centers, whereas radiomics achieved AUCs of 0.749–0.869 internally and 0.646–0.697 externally. The radiomics models showed overall improvement with enlarged ROIs (P 0.05 for all modalities, 1.6–2.1% differences in AUC for the optimal modality), whereas the radiomics models had relatively limited robustness across the two centers (12% drop-off in AUC for the optimal modality). Adding AFP improved the DL models (P 0.05). Conclusion Cross-institutional validation indicated that DL demonstrated better robustness than radiomics for preoperative MVI prediction in patients with HCC, representing a promising solution to non-standardized ultrasound examination procedures.

Abstract Background To explore the value of dual-energy computed tomography (DECT) in differentiating pathological subtypes and the expression of immunohistochemical markers Ki-67 and thyroid transcription factor 1 (TTF-1) in patients with non-small cell lung cancer (NSCLC). Methods Between July 2022 and May 2024, patients suspected of lung cancer who underwent two-phase contrast-enhanced DECT were prospectively recruited. Whole-tumor volumetric and conventional spectral analysis were utilized to measure DECT parameters in the arterial and venous phase. The DECT parameters model, clinical-CT radiological features model, and combined prediction model were developed to discriminate pathological subtypes and predict Ki-67 or TTF-1 expression. Multivariate logistic regression analysis was used to identify independent predictors. The diagnostic efficacy was assessed by the area under the receiver operating characteristic curve (AUC) and compared using DeLong’s test. Results This study included 119 patients (92 males and 27 females; mean age, 63.0 ± 9.4 years) who was diagnosed with NSCLC. When applying the DECT parameters model to differentiate between adenocarcinoma and squamous cell carcinoma, ROC curve analysis indicated superior diagnostic performance for conventional spectral analysis over volumetric spectral analysis (AUC, 0.801 vs. 0.709). Volumetric spectral analysis exhibited higher diagnostic efficacy in predicting immunohistochemical markers compared to conventional spectral analysis (both P

Abstract Obesity is an important risk factor for breast cancer in women before and after menopause. Adipocytes, key mediators in the tumor microenvironment, play a pivotal role in the relationship between obesity with cancer. However, the potential of dietary components in modulating this relationship remains underexplored. Genistein, a soy-derived isoflavone, has shown promise in reducing breast cancer risk, attenuating obesity-associated inflammation, and improving insulin resistance. However, there are no reports examining whether genistein has the ability to reduce the effects of obesity on breast tumor development. In this study, we constructed a mammary tumor model in ovariectomized obese mice and examined the effects of genistein on body condition and tumor growth. Moreover, the effects of genistein on the tumor microenvironment were examined via experimental observation of peritumoral adipocytes and macrophages. In addition, we further investigated the effect of genistein on adipocyte and breast cancer cell crosstalk via coculture experiments. Our findings indicate that dietary genistein significantly alleviates obesity, systemic inflammation, and metabolic disorders induced by a high-fat diet in ovariectomized mice. Notably, it also inhibits tumor growth in vivo. The impact of genistein extends to the tumor microenvironment, where it reduces the production of cancer-associated adipocytes (CAAs) and the recruitment of M2d-subtype macrophages. In vitro, genistein mitigates the transition of adipocytes into CAAs and inhibits the expression of inflammatory factors by activating PPAR-γ pathway and degrading nuclear NF-κB. Furthermore, it impedes the acquisition of invasive properties and epithelial‒mesenchymal transition in breast cancer cells under CAA-induced inflammation, disrupting the Wnt3a/β-catenin pathway. Intriguingly, the PPAR-γ inhibitor T0070907 counteracted the effects of genistein in the coculture system, underscoring the specificity of its action. Our study revealed that genistein can mitigate the adverse effects of obesity on breast cancer by modulating the tumor microenvironment. These findings provide new insights into how genistein intake and a soy-based diet can reduce breast cancer risk.

Abstract Background Gastric cancer is a significant global malignancy with poor prognosis. Although the emergence of immune checkpoint inhibitors (ICIs) prolonged the duration of survival, resistance and progression are inevitable. We aim to evaluate the effectiveness of programmed death-1 (PD-1) inhibitors in immunotherapy beyond progression (IBP). Method We divided the advanced gastric cancer patients who received two lines immunotherapy into same regimen group (with same PD-1 inhibitor regime after IBP) and different regimen group (with different PD-1 inhibitor regime after IBP). Statistical analysis conducted to compare patient characteristics and evaluate survival differences between groups. Result The clinical outcome analysis showed that the same PD-1 inhibitor regime seemed to exhibit a higher disease control rate (DCR) (51.8% vs. 29.2%, P = 0.062), significantly prolonged progression-free survival 2 (PFS2) (162 vs. 75 days, P = 0.001) and overall survival (OS) (312 vs. 166 days, P = 0.022) when compared with those of cross line. In the multivariate analysis, when using different regimen group as reference, the same regimen group was found to be independently associated with improved PFS2 [hazard ratio (HR) = 0.467, 95% confidence interval (CI): 0.267–0.816, P = 0.008] and OS (HR = 0.508, 95%CI: 0.278–0.927, P = 0.027). Conclusion Continuation of the same type of PD-1 inhibitor regime in IBP shows clinical benefits and represents a promising therapeutic approach.

Abstract Biomarkers are not only of significant importance for cancer diagnosis and selection of treatment plans but also recently increasingly used for the evaluation of malignancy development and tumor heterogeneity. Large-size tumors from clinical patients can be unique and valuable sources for the study of cancer progression, particularly to the extent of intratumoral heterogeneity. In the present study, we obtained a series of post-surgery puncture samples from a breast cancer patient with a 4 × 3.5 × 2 cm tumor in its original size. Immunohistochemistry for Ki-67, COX-2, and CA IX was performed and the expression levels within the breast cancer tumor mass were evaluated in the reconstructed 3D models. To further evaluate the intratumoral heterogeneity, we performed high throughput whole transcriptome sequencing of 12 samples from different spatial positions within the tumor tissue. Comparing the reconstructed 3D distribution of biomarkers with projected tumor growth models, asymmetric and heterogeneous expansion of tumor mass was found to be possibly influenced by factors such as blood supply, inflammation and/or hypoxia stimulations, as suggested from the correlation between the results of Ki-67 and CA IX or COX-2 staining. Furthermore, high-throughput RNA sequencing data provided additional information for profiling the intratumoral heterogeneity and expanded the understanding of cancer progression. Digital technology for medical imaging once properly integrated with molecular pathology examinations will become particularly helpful in dissecting out in-depth information for precision medicine. We prospect that this approach, facilitated by rapidly advancing artificial intelligence, could provide new insights for clinical decision-making in the future. Strategies for the continuous development from the present study for better performance and application were discussed.

Abstract Prostate cancer (PCa), with high heterogeneity and poor prognosis, is one of the most common malignant tumors in men. Circular RNAs (circRNAs) have been identified in tumor progression and resistance to medication in numerous studies. However, the role of circ_0001047 in PCa is unclear. In this research, we found that circ_0001047 had low expression in PCa cells and tissues and was negatively correlated with testosterone secretion in vivo. Overexpression of circ_0001047 inhibited the proliferation, migration, invasion, and anti-apoptotic abilities of human PCa cells in vitro. Mechanistically, circ_0001047 promoted the expression of FKBP5 through sponge adsorption of miR-122-5p and then inhibited the proliferation, anti-apoptotic migration, and invasion abilities of PCa cells. In addition, overexpression of circ_0001047 enhanced the sensitivity of PCa cells to abiraterone by inhibiting AKT phosphorylation activation through upregulation of FKBP5/PHLPP1. This study revealed a novel mechanism by which circ_0001047 regulates PCa progression and treatment sensitivity via the miR-122-5p/FKBP5/PHLPP1/AKT axis. These findings deepen our comprehension of the molecular mechanisms in latent PCa progression and treatment resistance. Graphical Abstract

ObjectiveTo analyze the differences in the expressions of the total and phosphorylated proteins in human colon cancer HCT116 cells after the knockout (KO) of retinoic acid-induced protein 16 (RAI16) and explore the possible mechanism and related signaling pathways affecting its protein function in HCT116 cells. MethodsHCT116 KO and WT cell proteins were collected and extracted, and the protein extraction efficiency was detected via a sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) experiment. After protein digestion, the peptides were labeled with TMT and analyzed via mass spectrometry. We used bioinformatics methods to analyze the identified differential proteins and differentially phosphorylated proteins by using GO, KEGG, and STRING databases. ResultsThe results of SDS-PAGE showed no evident protein degradation. In addition, some key bands were significantly different between the experimental and control groups. A total of 147 up-regulated and 230 down-regulated differential proteins were screened in accordance with the conditions of Foldchange≥1.5 or Foldchange≤1/1.5 and P

Ji Yang,1,&ast; Zhenyu Ding,2,&ast; Ying Yu,1 Junde Liu,1 Shuang Song,1 Zhendong Zheng,2 Huiying Yu1 1Basic Medicine Laboratory, General Hospital of Northern Theater Command, Shenyang, 110016, People’s Republic of China; 2Department of Clinical Oncology, General Hospital of Northern Theater Command, Shenyang, 110016, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Huiying Yu, Basic Medicine Laboratory, General Hospital of Northern Theater Command, Shenyang, 110016, People’s Republic of China, Email hyingy@sina.com Zhendong Zheng, Department of Clinical Oncology, General Hospital of Northern Theater Command, Shenyang, 110016, People’s Republic of China, Email gcp_zzd@sian.comObjective: Colorectal carcinoma (CRC) is the third most common malignancy. In addition to comprehensive cancer treatments, such as surgery, chemotherapy, and radiotherapy, the adoptive immune cell therapy (ACT) has played an increasingly important role in recent years, and the adaptive transfusion of autologous NK cells and CIK cells is a brand-new approach to cellular therapy for solid tumors.Case Presentation: A 57-year-old man underwent a radical resection of microsatellite stable (MSS) rectal cancer with synchronous liver metastases. After surgery of the primary lesion surgery, he was treated with autologous CIK/NK cells combined with XELOX translational therapy. Each cycle can obtain over 10 × 109 CIK cells or over 6 × 109 NK cells combined chemotherapy of XELOX every 3 weeks. After 2 cycles of therapy, he achieved partial response (PR). He immediately underwent a hepatic metastasis resection. After surgery, the patient continued to receive autologous CIK/NK cells in combined with 4 cycles of XELOX. To date, he has achieved and maintained no evidence of disease (NED) for over 40 months.Conclusion: This is a case of successful treatment of rectal cancer with liver metastasis using ACT in conjunction with first-line chemotherapy. The advantage of this treatment plan is that it has few side effects and achieves long-term control of tumor recurrence by improving the patient’s immune function. However, its responsiveness and benefit rate still need further investigation.Keywords: autologous CIK cells, autologous NK cells, chemotherapy, advanced rectal cancer

Abstract DNA damage is considered to be a potentially unifying driver of ageing, and the stalling of DNA damage repair accelerates the cellular senescence. However, augmenting DNA repair has remained a great challenge due to the intricate repair mechanisms specific for multiple types of lesions. Herein, we miniaturized our modified detecting system for homologous recombination (HR) into a 96-well-based platform and performed a high-throughput chemical screen for FDA-approved drugs. We uncovered that amodiaquine could significantly augment HR repair at the noncytotoxic concentration. Further experiments demonstrated that amodiaquine remarkably suppressed stress-induced premature cellular senescence (SIPS), as evidenced by senescence-associated beta-galactosidase (SA-β-gal) staining or senescence‐related markers p21WAF1 and p16ink4a, and the expression of several cytokines. Mechanistic studies revealed that the stimulation of HR repair by amodiaquine might be mostly attributable to the promotion of SIRT1 at the transcriptional level. Additionally, SIRT1 depletion abolished the amodiaquine‐mediated effects on DNA repair and cellular senescence, indicating that amodiaquine delayed the onset of SIPS via a SIRT1-dependent pathway. Taken together, this experimental approach paved the way for the identification of compounds that augment HR activity, which could help to underscore the therapeutic potential of targeting DNA repair for treating aging-related diseases.

Abstract Recent studies indicate that replication checkpoint modulators (RCMs) such as inhibitors of CHK1, ATR, and WEE1 have promising monotherapy activity in solid tumors, including platinum-resistant high grade serous ovarian cancer (HGSOC). However, clinical response rates are generally below 30%. While RCM-induced DNA damage has been extensively examined in preclinical and clinical studies, the link between replication checkpoint interruption and tumor shrinkage remains incompletely understood. Here we utilized HGSOC cell lines and patient-derived xenografts (PDXs) to study events leading from RCM treatment to ovarian cancer cell death. These studies show that RCMs increase CDC25A levels and CDK2 signaling in vitro, leading to dysregulated cell cycle progression and increased replication stress in HGSOC cell lines independent of homologous recombination status. These events lead to sequential activation of JNK and multiple BH3-only proteins, including BCL2L11/BIM, BBC3/PUMA and the BMF, all of which are required to fully initiate RCM-induced apoptosis. Activation of the same signaling pathway occurs in HGSOC PDXs that are resistant to poly(ADP-ribose) polymerase inhibitors but respond to RCMs ex vivo with a decrease in cell number in 3-dimensional culture and in vivo with xenograft shrinkage or a significantly diminished growth rate. These findings identify key cell death-initiating events that link replication checkpoint inhibition to antitumor response in ovarian cancer.

Abstract Background Neoadjuvant chemoradiotherapy followed by total mesorectal excision is a standard treatment for locally advanced rectal cancer. Mismatch repair-deficient locally advanced rectal cancer (LARC) was highly sensitive to PD-1 blockade. However, most rectal cancers are microsatellite stable (MSS) or mismatch repair-proficient (pMMR) subtypes for which PD-1 blockade is ineffective. Radiation can trigger the activation of CD8 + T cells, further enhancing the responses of MSS/pMMR rectal cancer to PD-1 blockade. Radioimmunotherapy offers a promising therapeutic modality for rectal cancer. Progenitor T exhausted cells are abundant in tumour-draining lymph nodes and play an important role in immunotherapy. Conventional irradiation fields include the mesorectum and regional lymph nodes, which might cause considerable damage to T lymphocytes and radiation-induced fibrosis, ultimately leading to a poor response to immunotherapy and rectal fibrosis. This study investigated whether node-sparing modified short-course irradiation combined with chemotherapy and PD-1 blockade could be effective in patients with MSS/ pMMR LARC. Methods This was a open-label, single-arm, multicentre, prospective phase II trial. 32 LARC patients with MSS/pMMR will receive node-sparing modified short-course radiotherapy (the irradiated planned target volume only included the primary tumour bed but not the tumour-draining lymph nodes, 25 Gy/5f, 5 Gy/f) followed by CAPOX and tislelizumab. CAPOX and tislelizumab will be started two days after the completion of radiotherapy: oxaliplatin 130 mg/m2 intravenous infusion, day 1; capecitabine 1000 mg/m2 oral administration, days 1–14; and tislelizumab 200 mg, intravenous infusion, day 1. There will be four 21-day cycles. TME will be performed at weeks 14–15. We will collect blood, tumour, and lymphoid specimens; perform flow cytometry and in situ multiplexed immunofluorescence detection; and analyse the changes in various lymphocyte subsets. The primary endpoint is the rate of pathological complete response. The organ preservation rate, tumour regression grade, local recurrence rate, disease-free survival, overall survival, adverse effects, and quality of life will also be analysed. Discussion In our research, node-sparing modified radiotherapy combined with immunotherapy probably increased the responsiveness of immunotherapy for MSS/pMMR rectal cancer patients, reduced the occurrence of postoperative rectal fibrosis, and improved survival and quality of life. This is the first clinical trial to utilize a node-sparing radiation strategy combined with chemotherapy and PD-1 blockade in the neoadjuvant treatment of rectal cancer, which may result in a breakthrough in the treatment of MSS/pMMR rectal cancer. Trial registration This study was registered at www.clinicaltrials.gov . Trial registration number: NCT05972655. Date of registration: 31 July 2023.

Abstract Background Lung cancer (LC) occupies an important position in the lethality of cancer patients. Acquired resistance to gefitinib in lung adenocarcinoma (LUAD) seriously affects the therapeutic efficacy of LC. Thus, it is of major scientific and clinical significance to probe the mechanism of gefitinib resistance in LUAD for ameliorating the prognosis of patients. Methods The expression of miRNAs in gefitinib-resistant LUAD cells was validated using qRT-PCR. Cell viability was assessed through CCK-8, whereas cell death was examined through PI staining. Changes in the ferroptosis process were evaluated by detecting the intracellular Glutathione (GSH), Malondialdehyde (MDA), and Reactive Oxygen Species (ROS) levels. Downstream targets of miR-138-5p were verified via luciferase reporter and RNA pull-down assays. RIP and qRT-PCR were employed to evaluate pri-miR-138-5p binding to DiGeorge critical region 8 (DGCR8) and the pri-miR-138-5p m6A modification level. Additionally, the impact of fat mass and obesity-associated protein (FTO) on LUAD gefitinib sensitivity was assessed in vivo by constructing a xenograft model. Results We observed that miR-138-5p was notably diminished in gefitinib-resistant cells. Overexpression of miR-138-5p suppressed viability while facilitated cell death and intracellular ferroptosis in gefitinib-resistant cells. Moreover, lipocalin 2 (LCN2) was the downstream target of miR-138-5p. The biological functions of miR-138-5p on gefitinib-resistant cells was reversed by introduction of LCN2. FTO suppressed the binding of DGCR8 to pri-miR-138-5p through m6A modification, thereby restraining the processing of miR-138-5p. Meanwhile, silencing of FTO enhanced the sensitivity of LUAD to gefitinib treatment. Conclusion FTO suppressed the processing of miR-138-5p and then modulated the proliferation, death, and ferroptosis of gefitinib-resistant cells through the miR-138-5p/LCN2 pathway, which may put forward novel insights for clinically ameliorating the therapeutic effect of gefitinib in LUAD.

Abstract Purpose The advantages of en bloc resection of bladder tumors (ERBT) over transurethral resection of bladder tumors (TURBT) in terms of patient prognosis are not yet clear, and there are some technical limitations. We aimed to compare the tumor recurrence in non-muscle invasive bladder cancer (NMIBC) patients with tumor diameter ≥ 3 cm undergoing either TURBT or thulium laser ERBT. Methods The patients included were those diagnosed with NMIBC based on pathological confirmation and underwent TURBT or modified thulium laser ERBT in the Department of Urology at Tongji Hospital from 2019 to 2024. The patients’ medical records were meticulously collected and postoperative follow-up was diligently conducted by trained personnel. Recurrence-free survival curves were generated utilizing the Kaplan–Meier method, and group comparisons were performed using the log-rank trend test. To minimize biases, we employed stratified survival analysis, alongside univariate and multivariate Cox regression analysis. Results This study included a total of 396 patients with NMIBC, with 214 undergoing TURBT and 182 undergoing ERBT. For all patients, there was no significant difference (P = 0.180) in RFS between the TURBT and ERBT groups. For patients with tumor diameter ≥ 3 cm, stratified analysis revealed that the RFS of the ERBT group was significantly better than that of the TURBT group (P = 0.033). However, in patients with tumor diameter

Abstract Introduction Although there are some established prognostic evaluation models for clear cell renal cell carcinoma (ccRCC), more robust postoperative prognostic evaluation model is urgently needed. Our study intends to explore new clinical and pathological prognostic factors related to non-metastatic ccRCC, which help to establish a better prognostic risk evaluation model in non-metastatic ccRCC. Patients and methods A retrospective cohort study was conducted in non-metastatic ccRCC patients spanning from 2010 to 2018. Clinical and pathological factors of these patients were collected. Cox regression analysis was employed to assess the relationship between these factors and disease-free survival (DFS), and a nomogram risk prediction model was also constructed. Results A total of 1467 patients were ultimately included, comprising 994 men (67.8%), with 800 patients aged between 40 and 60 years old (54.5%), and 80 patients (5.5%) experiencing relapse or metastasis of ccRCC within three years after operation. The follow-up duration ranged from 39 to 146 months. Univariate and multivariate Cox regression analysis identified five independent prognostic factors of DFS (P

Abstract Background Understanding the factors that contribute to variability in breast cancer-related lymphedema (BCRL) is an important first step in developing targeted interventions to improve quality of life in breast cancer patients. Although previous research studies have has identified many risk factors for BCRL, dietary habits and catheterization type have rarely been studied until the present. Aim This study aims to explore the effects of nursing factors such as dietary habits and catheterization type on breast cancer-related lymphedema (BCRL). Methods This retrospective cohort study included 1,476 breast cancer patients who underwent surgery between January 1, 2012, and September 1, 2020. Lymphedema was assessed with a validated self-report questionnaire. All research data were obtained from medical records and a follow-up database. Multivariate Cox regression was conducted to explore the effects of dietary habits and catheterization type on BCRL. Results The results showed an increased risk for BCRL among breast cancer patients who followed a high-fat diet prehospitalization (HR = 2.47; 95% CI = 1.55–3.94; P

Abstract Background T-cell-related genes play a crucial role in LIHC development. However, a reliable prognostic profile based on risk models of these genes has yet to be identified. Methods Single-cell datasets from both tumor and normal tissue samples were obtained from the GEO database. We identified T-cell marker genes and developed a genetic risk model using the TCGA-LIHC dataset, which was subsequently validated with an independent GEO dataset. We also explored the relationship between risk model predictions and immune responses. Results We constructed a prognostic risk model using eight gene features identified through screening 860 T-cell marker genes via scRNA-seq and RNA-seq, which was subsequently integrated with the TCGA dataset. Its validity was independently confirmed using GEO and ICGC datasets. The TCGA dataset was stratified into high-risk and low-risk groups based on the risk model. Multivariate Cox regression analysis confirmed the risk score as an independent prognostic factor. GSEA indicated ribosomal transporter metabolism enrichment in the high-risk group and significant transcriptional activation in the low-risk group. ESTIMATE analysis showed higher ESTIMATE, immune, and stromal scores in the low-risk group, which also exhibited lower tumor purity than the high-risk group. Immunophenotyping revealed distinct patterns of immune cell infiltration and an immunosuppressive environment in the high-risk group. Conclusions This study introduces a T-cell marker-based prognostic risk model for LIHC patients. This model effectively predicted survival outcomes and immunotherapy effectiveness in LIHC patients, aligning with diverse immune responses and the distinct immunological profiles observed in the high-risk group.

Abstract Background Patients with programmed cell death‐ligand 1 (PD‐L1) ≥50% metastatic non‐small cell lung cancer (NSCLC) treated with first‐line immunotherapy showed heterogeneous tumor responses. In this study, we investigated the clinical and immune‐inflammatory markers distinguishing patients with metastatic NSCLC achieving high depth of tumor response (HDPR) from those with non‐high depth of response (NHDPR). The impact of clinical features on the prognosis of patients with PD‐L1 ≥50% were further clarified. Methods The clinical characteristics and immune‐inflammatory markers of 17 patients with PD‐L1 ≥50% metastatic NSCLC at Beijing Tiantan Hospital between July 2020 and December 2023 were retrospectively analyzed. Results Among the 17 patients, seven (41.2%) patients achieved HDPR (range: −50%, −72%) and 10 (58.8%) patients achieved NHDPR (range: −13%, −45%). Below normal CD4 + T lymphocytes/CD8 + T lymphocytes (CD4/CD8) ratio (p = 0.01) and oncogenes and/or tumor suppressor gene mutations (TP53/KRAS/EGFR) (p = 0.001) were found enriched for NHDPR compared with HDPR. With a median follow‐up of 26.0 months (range: 17.2–34.8 months), the median progression‐free survival (PFS) following first‐line immunotherapy and overall survival (OS) were 9.0 months (95% CI: 5.0–13.0) and not reached (NR), respectively. The neutrophil‐to‐lymphocyte ratio (NLR) was identified as an independent prognostic factor on first‐line PFS. Patients with an NLR ≥4 exhibited a shorter median PFS (7.0 months vs. NR; p = 0.033; 95% CI: 1.2–80.2) than those with an NLR

In recent years, 3D bioprinting technology has developed rapidly, becoming an essential tool in the fields of cancer research, tissue engineering, disease modeling and mechanistic studies. This paper reviewed the fundamental principles of bioprinting technology and its current applications in cancer research and tissue engineering. Bioprinting is an additive manufacturing technology that constructs complex three-dimensional tissue structures by digitally controlling the layer-by-layer deposition of biomaterials and living cells. The core steps of bioprinting include designing a 3D model, selecting appropriate bioprinting techniques and materials, printing layer by layer, followed by post-processing involving cell culture and functionalization. In cancer research, 3D bioprinting can create complex tumor models that simulate the tumor microenvironment, revealing new mechanisms of tumor initiation and progression. Traditional in vitro models, such as 2D cell cultures or animal models, often fail to accurately replicate the complexity of human tumors. However, 3D bioprinted tumor models, which mimic the dynamic interactions between tumor cells and their environment such as immune cells, stroma and blood vessels, offer a more biomimetic platform for studying tumor growth, invasion and metastasis. These models provide a research platform that closely mirrors actual tumor behavior. Additionally, Bioprinted models and scaffolds can be leveraged in personalized precision therapies by efficiently constructing patient-specific 3D models from their own cells. These models enable the prediction of patient’s sensitivity to drugs and radiotherapy. Additionally, localized scaffolds can be developed to meet individual patient needs, allowing for the formulation of appropriate drug types and dosages. Furthermore, 3D-printed scaffolds can support drug delivery by targeting specific areas, reducing drug-related side effects. They can also be used to facilitate local immunotherapy, cytokine therapy, cancer vaccines, and chimeric antigen receptor cell therapy, enhancing therapeutic outcomes. In tissue engineering, traditional tissue repair methods often struggle to address the complex requirements of constructing intricate tissue structures. 3D bioprinting offers a novel solution by enabling the creation of complex tissue architectures and promoting tissue regeneration. Basic tissues, such as bone, cartilage and skin, which have higher regenerative capacities, are gradually being incorporated into clinical practice. Significant progress has also been made in the repair and reconstruction of more complex organs like the liver and heart, though considerable challenges remain before these advancements can be fully translated into clinical applications. Finally, this paper discussed the current challenges and future directions of 3D bioprinting in these fields, aiming to provide reference for researchers.

Abstract Background N4‐acetylcytidine (ac4C) represents a novel messenger RNA (mRNA) modification, and its associated acetyltransferase N‐acetyltransferase 10 (NAT10) plays a crucial role in the initiation and progression of tumors by regulating mRNA functionality. However, its role in hepatocellular carcinoma (HCC) development and prognosis is largely unknown. This study aimed to elucidate the role of NAT10‐mediated ac4C in HCC progression and provide a promising therapeutic approach. Methods The ac4C levels were evaluated by dot blot and ultra‐performance liquid chromatography‐tandem mass spectrometry with harvested HCC tissues. The expression of NAT10 was investigated using quantitative real‐time polymerase chain reaction, western blotting, and immunohistochemical staining across 91 cohorts of HCC patients. To explore the underlying mechanisms of NAT10‐ac4C in HCC, we employed a comprehensive approach integrating acetylated RNA immunoprecipitation and sequencing, RNA sequencing and ribosome profiling analyses, along with RNA immunoprecipitation, RNA pull‐down, mass spectrometry, and site‐specific mutation analyses. The drug affinity responsive targets stability, cellular thermal shift assay, and surface plasmon resonance assays were performed to assess the specific binding of NAT10 and Panobinostat. Furthermore, the efficacy of targeting NAT10‐ac4C for HCC treatment was elucidated through in vitro experiments using HCC cells and in vivo HCC mouse models. Results Our investigation revealed a significant increase in both the ac4C RNA level and NAT10 expression in HCC. Notably, elevated NAT10 expression was associated with poor outcomes in HCC patients. Functionally, silencing NAT10 suppressed HCC proliferation and metastasis in vitro and in vivo. Mechanistically, NAT10 stimulates the ac4C modification within the coding sequence (CDS) of high mobility group protein B2 (HMGB2), which subsequently enhances HMGB2 translation by facilitating eukaryotic elongation factor 2 (eEF2) binding to the ac4C sites on HMGB2 mRNA's CDS. Additionally, high‐throughput compound library screening revealed Panobinostat as a potent inhibitor of NAT10‐mediated ac4C modification. This inhibition significantly attenuated HCC growth and metastasis in both in vitro experiments using HCC cells and in vivo HCC mouse models. Conclusions Our study identified a novel oncogenic epi‐transcriptome axis involving NAT10‐ac4C/eEF2‐HMGB2, which plays a pivotal role in regulating HCC growth and metastasis. The drug Panobinostat validates the therapeutic potential of targeting this axis for HCC treatment.

Abstract The Nab-paclitaxel combined with gemcitabine (AG) regimen is the main chemotherapy regimen for pancreatic cancer, but drug resistance often occurs. Currently, the ability to promote sensitization in drug-resistant cases is an important clinical issue, and the strategy of repurposing conventional drugs is a promising strategy. This study aimed to identify a classic drug that targets chemotherapy resistance’s core signaling pathways and combine it with the AG regimen to enhance chemosensitivity. We also aimed to find reliable predictive biomarkers of drug combination sensitivity. Using RNA sequencing, we found that abnormal PI3K/Akt pathway activation plays a central role in mediating resistance to the AG regimen. Subsequently, through internal and external verification of randomly selected AG-resistant patient-derived organoid (PDO) and PDO xenograft models, we discovered for the first time that the classic anti-inflammatory drug sulindac K-80003, an inhibitor of the PI3K/Akt pathway that we focused on, promoted sensitization in half (14/28) of AG-resistant pancreatic ductal adenocarcinoma cases. Through RNA-sequencing, multiplex immunofluorescent staining, and immunohistochemistry experiments, we identified cFAM124A as a novel biomarker through which sulindac K-80003 promotes AG sensitization. Its role as a sensitization marker is explained via the following mechanism: cFAM124A enhances both the mRNA expression of cathepsin L and the activity of the cathepsin L enzyme. This dual effect stimulates the cleavage of RXRα, leading to large amounts of truncated RXRα, which serves as a direct target of K-80003. Consequently, this process results in the pathological activation of the PI3K/Akt pathway. In summary, our study provides a new treatment strategy and novel biological target for patients with drug-resistant pancreatic cancer.

Abstract Objective We explored the preliminary value of abnormal spindle-like microcephaly- associated (ASPM) protein in aiding precise risk sub-stratification, prediction of metabolic heterogeneity, and prognosis of neuroblastoma (NB). Methods This retrospective study enrolled newly diagnosed patients with NB who underwent positron emission tomography/computed tomography (PET/CT) before therapy, and tumor tissue was collected after surgery. Regression analysis was used to evaluate ASPM expression and risk stratification in patients with NB. The expression levels of ASPM, clinical information, and PET/CT text features were analyzed using univariate and multivariate survival analyses. Finally, a correlation analysis was used to explore the relationship between ASPM and tumor metabolic heterogeneity. Results There were 48 patients with NB in this study (35 boys and 13 girls); 22 patients progressed and 16 died. We found that the level of ASPM was highly associated with risk stratification (OR = 5.295, 95%IC: 1.348–41.722, p = 0.021). Patients with NB and high-risk stratification with high ASPM level had a lower 3-year progression-free survival (PFS) rate (14.28%) and 1-year PFS rate (57.14%) than those with low ASPM level (57.14% and 93.75%, respectively). Using univariate and multivariate survival analyses, this study revealed that ASPM and LDH were independent risk factors for both PFS and overall survival (OS), whales GLZLM_ZLNU was only a risk factor for PFS. Conclusion ASPM holds promise as a novel biomarker for refining current risk stratification and predicting prognosis in neuroblastoma. Elevated levels of ASPM, LDH, and GLZLM_ZLNU may be associated with poorer survival outcomes in neuroblastoma patients.

Abstract Background A dosimetric evaluation is still lacking in terms of clinical target volume (CTV) omission in stage III patients treated with 4D-CT Intensity-Modulated Radiation Therapy (IMRT). Methods 49 stage III NSCLC patients received 4D-CT IMRT were reviewed. Target volumes and organs at risk (OARs) were re-delineated. Four IMRT plans were conducted retrospectively to deliver different prescribed dose (74 Gy–60 Gy), and with or without CTV implementation. Dose and volume histogram (DVH) parameters were collected and compared. Results In the PTV-g 60 Gy plan (PTV-g refers to the PTV generated from the internal gross tumor volume), only 5 of 49 patients had the isodose ≥ 50 Gy line covering at least 95% of the PTV-c (PTV-c refers to the PTV generated from the internal CTV) volume. When the prescribed dose was elevated to 74 Gy to the PTV-g, 33 of 49 patients could have the isodose ≥ 50 Gy line covering at least 95% of the PTV-c volume. In terms of OARs protection, the SIB-IMRT plan showed the lowest value of V5, V20, and mean dose of lung, had the lowest V55 of esophagus, and the lowest estimated radiation doses to immune cells (EDIC). The V20, V30, and mean dose of heart was lower in the simultaneous integrated boost (SIB) IMRT (SIB-IMRT) plan than that of the PTV-c 60 Gy plan. Conclusions CTV omission was not suitable for stage III patients when the prescribed dose to PTV-g was 60 Gy in the era of 4D-CT IMRT. CTV omission plus high dose to PTV-g (74 Gy for example) warranted further exploration. The SIB-IMRT plan had the best protection to normal tissue including lymphocytes, and might be the optimal choice.

Abstract Background To establish the pathological diagnosis of UTUC before treatment is profitable. At present, the conventional pathological diagnostic methods have certain problems. Besides, the urine-based DNA methylation test have been already utilized to detect bladder cancer. Objective To evaluate the sensitivity and specificity of DNA methylation plus 17 genes mutation test and compare the combined test with cytology. Materials and methods We included 45 patients from April 2019 to May 2022, all of whom underwent radical nephroureterectomy (RNU), nephrectomy, diagnostic ureteroscopy or tissue biopsy. Before surgery, the urine samples were collected for DNA methylation plus 17 genes mutation test and cytology. The test performance was calculated, and comparative ROC curves were drawn. Results The median age of the patients was 67 years. The Kappa value of the DNA methylation plus 17 genes mutation test and tissue pathology was 0.59 (p

Abstract Purpose The characteristic of RENT3B in cancer remains ambiguous. We aimed to study the relationship between RENT3B and immune infiltration in liver hepatocellular carcinoma (LIHC) and lung squamous cell carcinoma (LUSC). Patients and methods We investigated the expression levels of RENT3B using ONCOMINE and TIMER databases, and assessed the interrelationship between RENT3B expression and survival using PrognoScan, GEPIA, and Kaplan–Meier plotter. Additionally, we examined the association between RENT3B and immune cells in the tumor microenvironment (TME), as well as markers of immune cells, using TIMER. Subsequently, we performed prognostic analysis based on the expression level of RENT3B within specific immune cell subgroups. Furthermore, we evaluated the promoter methylation profile of RENT3B between tumor and normal tissues in LIHC and LUSC using the DNMIVD database. Results RENT3B exhibited increased levels in both in LIHC and LUSC. High RENT3B expression was associated with unfavorable prognosis in LIHC, whereas it indicated a beneficial prognosis in LUSC. In LIHC, the expression of RENT3B positively correlated with immune infiltration levels of B cells, CD4 + T cells, CD8 + T cells, neutrophils, macrophages, and dendritic cells. However, in LUSC, the expression of RENT3B showed a negative correlation with immune infiltration levels of B cells, CD8 + T cells, neutrophils, macrophages, and dendritic cells. RENT3B exhibited positive correlations with 42 immune markers in LIHC, while it displayed negative associations with 10 immune markers in LUSC. Despite variations in immune cell enrichment and reduction subgroups, high RENT3B expression consistently indicated poor prognosis in LIHC, whereas it remained favorable in LUSC. Additionally, there were no significant differences observed in RENT3B promoter methylation between tumor and normal tissues in both LIHC and LUSC. Conclusion RENT3B can affect the overall tumor prognosis and is associated with immune infiltration, especially in LIHC and LUSC. Consequently, RENT3B can become a prognostic biomarker for LIHC and LUSC.

Abstract Purpose To investigate the role of Actin like 6 A (ACTL6A) in cancer and explore the potential mechanism of its function. Methods Differential expression of ACTL6A was analyzed using Oncomine and TIMER database. Then, we downloaded data sets from TCGA database. The correlation between ACTL6A expression and survival in pan-cancer were analyzed by “survival”, “survminer” R package and PrognoScan database. STRING (v 11.0) and stringAPP for Cytoscape v3.7.2 were used to predict ACTL6A associated genes. Copy number and methylation alterations of ACTL6A were analyzed using cBioPortal and GSCALite. Transcription factors were downloaded from The Human Transcription Factors Database and analyzed using “limma” R package, JASPAR and PROMO database. Correlations analysis between ACTL6A and immune cells were performed using TIMER and GEPIA database. Results In our studies, we found that ACTL6A was widely upregulated in cancers, which might be attributed to its gene amplifications. Moreover, ACTL6A might regulated by transcription factors (TFs), including E2F1, YY1, CDX2 and HOXD10. In addition, high ACTL6A expression was associated with poor prognosis in most cancers. Meanwhile, ACTL6A was associated with the infiltration of immune cells, especially in liver hepatocellular carcinoma and brain lower grade glioma. Conclusion Amplification of ACTL6A is correlated with poor prognosis and contribute to immune cells infiltration in LIHC and LGG, which may provide immune-related therapeutic targets to guide clinical strategies.