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This research presents a novel patch antenna prototype that operates in the THz range for early detection of malignant cancerous cells. The antenna has dimensions of 100 µm × 100 µm and achieves −27.3 dB return loss at an operating frequency of 2.34 THz. The proposed sensor is optimized for a polyimide substrate with a dielectric constant of 3.5 and thickness of 15.7 µm. The prototype's sensitivity and performance are evaluated by simulating different malignant neoplasms using High-Frequency Simulation Software (HFSS) for five types of breast cancer cells. The results indicate that the variation in resonant frequency and the S21 parameter between malignant cells and healthy breast cells are the primary factors that determine the sensitivity of the prototype. The proposed patch antenna's high sensitivity and low profile make it a promising solution for the early detection and prognosis of cancerous cells. [ABSTRACT FROM AUTHOR]

Adrenocortical carcinoma is a malignant tumor with a poor prognosis and a frequent metastatic extension. In very rare cases, a cardiac metastatic disease may occur, and surgical resection is essential for its management. MR-guided stereotactic radiotherapy is an attractive radiotherapy modality for the treatment of mobile thoracic tumors, enabling the target to be monitored continuously during irradiation, while the dosimetric plan can be adapted daily if necessary. We report here the case of a patient with intracardiac metastasis secondary to malignant adrenocortical carcinoma, treated with magnetic resonance imaging-guided stereotactic radiotherapy. [ABSTRACT FROM AUTHOR]

PANoptosis is a newly recognized inflammatory pathway for programmed cell death (PCD). It participates in regulating the internal environment, homeostasis, and disease process in various complex ways and plays a crucial role in tumor development, but its mechanism of action is still unclear. In this study, we comprehensively analyzed the expression of 14 PANoptosis-related genes (PANRGs) in 28 types of tumors. Most PANRGs are upregulated in tumors, including Z-DNA binding protein 1 (ZBP1), nucleotide-binding oligomerization domain (NOD)-like receptor pyrin domain-containing 3 (NLRP3), caspase (CASP) 1, CASP6, CASP8, PYCARD, FADD, MAP3K7, RNF31, and RBCK1. PANRGs are highly expressed in GBM, LGG, and PAAD, while their levels in ACC are much lower than those in normal tissues. We found that both the CNV and SNV gene sets in BLCA are closely related to survival performance. Subsequently, we conducted clustering and LASSO analysis on each tumor and found that the inhibitory and the stimulating immune checkpoints positively correlate with ZBP1, NLRP3, CASP1, CASP8, and TNFAIP3. The immune infiltration results indicated that KIRC is associated with most infiltrating immune cells. According to the six tumor dryness indicators, PANRGs in LGG show the strongest tumor dryness but have a negative correlation with RNAss. In KIRC, LIHC, and TGCT, most PANRGs play an important role in tumor heterogeneity. Additionally, we analyzed the linear relationship between PANRGs and miRNA and found that MAP3K7 correlates to many miRNAs in most cancers. Finally, we predicted the possible drugs for targeted therapy of the cancers. These data greatly enhance our understanding of the components of cancer and may lead to the discovery of new biomarkers for predicting immunotherapy response and improving the prognosis of cancer patients. [ABSTRACT FROM AUTHOR]

Background: The mechanisms of distant metastasis in pancreatic cancer (PC) have not been elucidated, and this study aimed to explore the risk factors affecting the metastasis and prognosis of metastatic patients and to develop a predictive model. Method: Clinical data from patients meeting criteria from 1990 to 2019 were obtained from the Surveillance, Epidemiology, and End Results (SEER) database, and two machine learning methods, random forest and support vector machine, combined with logistic regression, were used to explore risk factors influencing distant metastasis and to create nomograms. The performance of the model was validated using calibration curves and ROC curves based on the Shaanxi Provincial People's Hospital cohort. LASSO regression and Cox regression models were used to explore the independent risk factors affecting the prognosis of patients with distant PC metastases. Results: We found that independent risk factors affecting PC distant metastasis were: age, radiotherapy, chemotherapy, T and N; the independent risk factors for patient prognosis were: age, grade, bone metastasis, brain metastasis, lung metastasis, radiotherapy and chemotherapy. Conclusion: Together, our study provides a method for risk factors and prognostic assessment for patients with distant PC metastases. The nomogram we developed can be used as a convenient individualized tool to facilitate aid in clinical decision making. [ABSTRACT FROM AUTHOR]

Background: Adenoid cystic carcinoma (ACC) in Bartholin's gland is an uncommon malignant tumor. These tumors have a vague clinical feature, so they are diagnosed late and discovered at a high-level stage. Our case presented Three Recurrences and Three times Misdiagnosis of Adenoid Cystic Carcinoma (ACC). Case presentation: We report a case of adenoid cystic carcinoma arising in Bartholin's gland of a 64-year-old female patient that appeared after three previous vulvar tumors were excised. The patient underwent bilateral radiotherapy which was performed on the perineum. Conclusion: ACC of the vulvar sweat glands is prone to misdiagnosis and delay in both diagnosis and treatment. As seen in our case, it was misdiagnosed three times as Chondroid Syringoma. Further studies need to be conducted to better understand the tumor prognosis, and its optimal treatment options. [ABSTRACT FROM AUTHOR]

Background: The positive prediction of prognosis and immunotherapy within tertiary lymphoid structure (TLS) in cancerous tissue has been well demonstrated, including liver cancer. However, the relationship between TLS and prognosis in the peritumoral region of hepatocellular carcinoma (HCC) has received less attention. Few studies on whether TLS, as a typical representative of acquired immune cell groups, is associated with innate immune cells. The aim of this paper was to identify the prognostic role of peritumor TLS in HCC and to simply explore the relationship with neutrophils infiltration. Methods: This study included cancerous and paracancerous tissue from 170 patients after surgical resection of HCC. TLS was examined and identified by pathological H&E examination, and the impact on prognosis was further classified by determination of total TLS area. Immunohistochemical staining of CD15+ neutrophils was also performed on half of the cases. The obtained results were validated by external public database, as TLS has been widely shown to be tagged with 12 chemokines. Results: In peritumoral tissue, the TLS− group had better overall survival (OS) and disease‐free survival (DFS) outcomes compared with the TLS+ group. On the contrary, the intratumor TLS+ group showed better DFS outcomes. When further investigating the relationship between TLS area distribution and DFS, progressively worse prognosis was only found in the peritumor region with increasing TLS density (TLS− vs. TLSL vs. TLSH). In addition, neutrophil infiltration increased in parallel with TLS density in the peritumoral region, which was not observed in the intratumoral region. Conclusions: TLS might have a dual prognostic role in different regions of HCC. The abundance of peritumoral TLS is an independent influence of DFS. The inconsistent correlation between neutrophils and corresponding TLS in different regions may indicate different pathways of immune aggregation and may serve as an explanation for the different prognosis of TLS, which needs to be specifically explored. [ABSTRACT FROM AUTHOR]

Purpose: We aimed to elucidate the role of quantitative tumor burden based on PET/CT of somatostatin receptors in well-differentiated neuroendocrine tumors (NETs). Methods: This study enrolled patients with [68 Ga]Ga-DOTA-NOC PET/CT-positive advanced NETs who did not receive medical treatment prior to PET/CT. Tumor burden was calculated using methods based on the background threshold and relative fixed threshold values (30%, 40%, and 50%). The prognostic value of the measured tumor burden in reference to overall survival (OS) and progression-free survival (PFS) on treatment with octreotide long-acting repeatable (LAR) was assessed using Cox regression analysis, Harrell's C-index, and survival analysis. A classification and regression tree (CART) was used to determine the optimal threshold for tumor burden. Results: A total of 204 patients were included. Somatostatin receptor-expressing tumor volume (SRETV) and liver SRETV derived from a relative fixed threshold of 30% (SRETV30 and liver SRETV30) were statistically significantly associated with OS (C-index: 0.802 [95% confidence interval (CI), 0.658–0.946] and 0.806 [95% CI, 0.664–0.948], respectively). Extrahepatic tumor burden was not correlated with OS (hazard ratio: 0.617, 95% CI: 0.241–1.574, P = 0.312). Among 155 patients with non-functional NETs with a ki-67 index of ≤ 10%, those with a high SRETV30 (P = 0.016) or high liver SRETV30 (P = 0.014) showed statistically significantly worse PFS on treatment with octreotide LAR. Patients receiving a higher dose of octreotide LAR normalized by SRETV30 or liver SRETV30 (a normalized dose or a liver normalized dose) showed prolonged PFS on treatment with octreotide LAR and a prolonged OS. Conclusion: Quantitative tumor burden based on [68 Ga]Ga-DOTA-NOC PET/CT was correlated with OS and PFS in patients with non-functional NETs with a ki-67 index of ≤ 10% who received octreotide LAR. Calculating normalized and liver normalized doses may help in selecting the starting dose of octreotide LAR. [ABSTRACT FROM AUTHOR]

ATP binding cassette subfamily C member 8 (ABCC8) encodes a protein regulating the ATP-sensitive potassium channel. Whether the level of ABCC8 mRNA in lower grade glioma (LGG) correlates with immune cell infiltration and patient outcomes has not been evaluated until now. Comparisons of ABCC8 expression between different tumors and normal tissues were evaluated by exploring publicly available datasets. The association between ABCC8 and tumor immune cell infiltration, diverse gene mutation characteristics, tumor mutation burden (TMB), and survival in LGG was also investigated in several independent datasets. Pathway enrichment analysis was conducted to search for ABCC8-associated signaling pathways. Through an online database, we found that ABCC8 expression in LGG was lower than in normal tissues. Then, the association of ABCC8 expression and immune cell infiltration in LGG was discussed. As we expected, the ABCC8 mRNA levels were negatively associated with non-T immune cell infiltration levels in all datasets. Consistently, TCGA_LGG RNA-seq data revealed that ABCC8 downregulated several non-T immune cell-associated signaling pathways in gene set enrichment analysis. Different ABCC8 expression groups showed diverse gene mutation characteristics and TMB. The high expression of ABCC8 was linked to improved survival of LGG patients. A pathway enrichment analysis of ABCC8-associated genes indicated that the GABAergic synapse signaling pathway might be involved in regulating immunity in LGG. Our findings show that ABCC8 reflects LGG tumor immunity and is an ideal prognostic biomarker for LGG. [ABSTRACT FROM AUTHOR]

The correlation between secreted phosphoprotein 1 (SPPf) and immune infiltration and the clinical correlation of SPP1 in head and neck squamous cell carcinoma(HNSC) were analyzed, and the potential value of SPP1 in the prognosis and individualized treatment of HNSC was clarified. The HNSC data from The Cancer Genome Atlas(TCGA) was used to analyze SPP1 expression. The clinical survival data from TCGA was used to evaluate the clinical prognostic value of SPP1. The clusterProfiler package of R language was applied for the enrichment analysis related to SPP1. The CIBERSORT function of R language was used to evaluate the infiltration of 22 kinds of tumor infiltrating immune cells in HNSC. Subsequently, the correlation analysis between tumor infiltrating immune cells and SPP1 expression was performed. Differential expression analysis found that SPP1 was highly expressed in HNSC (PcO.OOl). Clinical correlation analysis found that SPP1 expression was correlated with T stage (P = 0.001) and clinical stage (P = 0.013). The overall survival of patients with high SPP1 expression was significantly shorter than the patients with low SPP\expression (P = 0.020 4). Gene enrichment analysis found that SPP1 was associated with immunological functions and immune-related pathways in HNSC. Analysis of tumor infiltrating immune cells found that in the high SPP1 expression group, the infiltration proportions of M2 macrophages (P = 0.001 1), resting dendritic cells (P = 0.005 5), and activated mast cells (P = 0.048 8) increased, while the infiltration proportions of actived memory CD4+ T lymphocytes (P<0.001), plasma cells (P = 0.026 6), and resting mast cells (P = 0.038 6) decreased. The research results indicate that SPP1 acts as an oncogene in HNSC and is related to the clinical outcome of patients. SPPl may play an important role in the tumor immune microenvironment and may become a valuable prognostic biomarker and immunotherapy target in HNSC. [ABSTRACT FROM AUTHOR]

Objective To explore the effect of the expression changes of O-fucosyltransferase 1（POFUT1）in the tumor tissues on the prognosis of tumor patients and its mechanism. Methods Combined with the pan-cancer data sets obtained from the TCGA database and the GTEx database, we used the GEPIA2 and TIMER2 to compare the expression levels of POFUT1 in various types of tumors and paired normal tissues, and selected the tumor types with statistical differences. The prognosis of the above tumor patients with different POFUT1 levels was compared. The TIMER database and the estimate software package were used to screen the tumors with the strongest correlation between POFUT1 and the level of immune cell infiltration, and then we analyzed the correlations between POFUT1 and the above-mentioned tumor tissue matrix score, immune cell infiltration score, and comprehensive score. Further, the String database and GEPIA2 were used to screen POFUT1-related genes, and the functional enrichment analysis of POFUT1 and its related genes was carried out based on the DAVID database. Results Compared with the paired normal tissues，the expression difference of POFUT1 was statistically significant in the cholangiocarcinoma，colon cancer，breast cancer，esophageal cancer，glioblastoma，head and neck squamous cell carcinoma，renal chromophobe carcinoma，low-grade brain glioma，hepatocyte cancer， lung adenocarcinoma，lung squamous cell carcinoma，pancreatic cancer，rectal adenocarcinoma，skin melanoma，gastric cancer，gastroesophageal cancer and thyroid cancer（all P<0. 05）. Seven tumor types showed differential expression of PO⁃ FUT1 in the TIMER2 and GEPIA databases（colon cancer，esophageal cancer，glioblastoma，head and neck squamous cell carcinoma，renal chromophobe carcinoma，rectal adenocarcinoma，and gastric cancer）. In the renal clear cell carcinoma and rectal adenocarcinoma，the overall survival time of the high POFUT1 expression group was higher than that of the low POFUT1 expression group（P<0. 05）. In the low-grade brain glioma，mesothelioma，and uveal melanoma，the overall survival time of low POFUT1 expression group was higher than that of the high POFUT1 expression group（P<0. 05）. The three tumors with the strongest correlation between POFUT1 and immune cell infiltration levels were low-grade glioma，colon cancer，and bladder urothelial carcinoma. The expression level of POFUT1 was related to the stroma，immune cell infiltration and comprehensive score of low-grade brain glioma tissues and the immune infiltration score of colorectal cancer tissues（all P<0. 05）. The enriched pathways of POFUT1 and its related genes were mainly protein binding and RNA binding pathway, serine-related enzyme pathway，apoptosis pathway，and Notch signaling pathway. Conclusions The ex⁃ pression level of POFUT1 increases in 17 types of tumors. Renal clear cell carcinoma and rectal adenocarcinoma with high POFUT1 expression have better prognosis，while low-grade brain glioma，mesothelioma and uveal melanoma with low ex⁃ pression have better prognosis. POFUT1 may affect the prognosis of tumor patients by regulating the level of tumor immune infiltration and signaling pathways such as protein binding，RNA binding and Notch signaling pathway. [ABSTRACT FROM AUTHOR]

NF2 alteration is the most commonly–found genetic abnormality in meningiomas and is known to initiate events for aggressive-type meningiomas. Whereas the prognosis of meningiomas differs depending on their epigenomic/transcriptomic profile, the effect of NF2 alteration on the prognosis of benign meningiomas is not fully elucidated. This study aimed to probe the importance of NF2 alteration in prognosis of WHO grade I meningiomas. A long-term retrospective follow-up (5.3 ± 4.5 years) study involving 281 consecutive WHO grade I meningioma patients was performed. We assessed tumour recurrence in correlation with extent of resection (EOR), histopathological findings, tumour location, and NF2 alteration. "NF2 meningioma" was defined as meningiomas with presence of NF2 mutation and/or 22q loss. Overall, NF2 meningioma per se was not a predictor of prognosis in the whole cohort; however, it was a predictor of recurrence in supratentorial meningiomas, together with EOR and Ki-67. In a striking contrast, NF2 meningioma showed a better prognosis than non-NF2 meningioma in infratentorial lesion. Supratentorial NF2 meningiomas had higher Ki-67 and forkhead box protein M1 expression than those of others, possibly explaining the worse prognosis in this subtype. The combination of NF2 alteration, high Ki-67 and supratentorial location defines subgroup with the worst prognosis among WHO grade I meningiomas. Clinical connotation of NF2 alteration in terms of prognosis of WHO grade I meningioma differs in an opposite way between supratentorial and infratentorial tumors. Integrated anatomical, histopathological, and genomic classifications will provide the best follow-up schedule and proactive measures. [ABSTRACT FROM AUTHOR]

Introduction: TRIpartite motif (TRIM) proteins are important members of the Really Interesting New Gene‐finger‐containing E3 ubiquitin‐conjugating enzyme and are involved in the progression of hepatocellular carcinoma (HCC). However, the diverse expression patterns of TRIMs and their roles in prognosis and immune infiltrates in HCC have yet to be analyzed. Materials: Combined with previous research, we used an Oncomine database and the Human Protein Atlas to compare TRIM family genes' transcriptional levels between tumor samples and normal liver tissues, as verified by the Gene Expression Profiling Interactive Analysis database. We investigated the patient survival data of TRIMs from the Kaplan–Meier plotter database. Clinicopathologic characteristics associations and potential diagnostic and prognostic values were validated with clinical and expressional data collected from the cancer genome atlas. Results: We identified TRIM28, TRIM37, TRIM45, and TRIM59 as high‐priority members of the TRIMs family that modulates HCC. Low expression of TRIM28 was associated with shorter overall survival (OS) than high expression (log‐rank p = 0.009). The same trend was identified for TRIM37 (p = 0.001), TRIM45 (p = 0.013), and TRIM59 (p = 0.011). Multivariate analysis indicated that the level of TRIM37 was a significant independent prognostic factor for both OS (p = 0.043) and progression‐free interval (p = 0.044). We performed expression and mutation analysis and functional pathways and tumor immune infiltration analysis of the changes in TRIM factors. Conclusion: These data suggested that TRIM28, TRIM37, TRIM45, and TRIM59 could serve as efficient prognostic biomarkers and therapeutic targets in HCC. [ABSTRACT FROM AUTHOR]

RNA-binding proteins (RBPs) play pivotal roles in carcinogenesis and immunotherapy. Leucine-rich pentapeptide repeat-containing protein (LRPPRC) is crucial for RNA polyadenylation, transport, and stability. Although recent studies have suggested LRPPRC's potential role in tumor progression, its significance in tumor prognosis, diagnosis, and immunology remains unclear. We comprehensively analyzed LRPPRC expression in tumors using various databases, including Human Transcriptome Cell Atlas (HTCA), University of California Santa Cruz (UCSC), Human Protein Atlas (HPA), Sangerbox, TISIDB, GeneMANIA, GSCALite, and CellMiner. We examined the correlation between LRPPRC expression level and prognosis, immune infiltration, immunotherapy, methylation, biological function, and drug sensitivity. Single-cell analysis was performed using Tumor Immune Single Cell Hub (TISCH) and CancerSEA software. Patients with acute myeloid leukemia (AML) were categorized based on LRPPRC levels for functional and immune infiltration analyses. The role of LRPPRC in cancer was validated using in vitro experiments. Our findings revealed that LRPPRC was highly expressed in almost all cancer types, indicating its significant prognostic and diagnostic potential. Notably, LRPPRC was associated with diverse immune features, such as immune cell infiltration, immune checkpoint genes, tumor mutational burden, and microsatellite instability, suggesting its value in guiding immunotherapy strategies. Within AML, the high-expression group had lower levels of immune cells, including CD8+ T cells. In vitro experiments confirmed the inhibitory effects of LRPPRC knockdown on AML cell proliferation. This study highlights LRPPRC as a reliable pan-cancer prognostic and immune biomarker, particularly in AML. It lays the groundwork for future research on LRPPRC-targeted cancer therapies. [Display omitted] • LRPPRC is highly expressed in almost all cancer types. • LRPPRC exhibits significant prognostic and diagnostic value in most cancers. • LRPPRC significantly correlates with tumor immunity and immunotherapy pan-cancer. • Knockdown of LRPPRC inhibits cell proliferation in AML in vitro. [ABSTRACT FROM AUTHOR]

Solitary fibrous tumors (SFTs) are known for their heterogeneous morphology, characterized by a variety of cell shapes and different growth patterns. They can also arise in various anatomical locations, most commonly in extremities and deep soft tissues. Despite this diversity in morphology and location, all SFTs share a common molecular signature involving the NAB2::STAT6 gene fusion. Due to their unpredictable clinical behavior, establishing prognostic factors is crucial. This study aims to evaluate an orbital risk stratification system (RSS) proposed by Huang et al. for use in extraorbital SFTs using a database of 97 cases. The Huang model takes into consideration tumor size, mitotic figures, Ki-67 index, and dominant constituent cell (DCC) as key variables. Survival analysis confirmed the model's predictive value, with higher-risk scores being associated with poorer outcomes. However, in contrast to the orbital SFTs studied by Huang et al., our study did not find a correlation between tumor size and recurrence in extraorbital cases. While the Huang model performs slightly better than other RSS, it falls short on achieving statistical significance in distinguishing recurrence risk groups in extraorbital locations. In conclusion, this study validates the Huang RSS for use in extraorbital SFTs and underscores the importance of considering DCC, mitotic count, and Ki-67 together. However, we found that including tumor size in this model did not improve prognostic significance in extraorbital SFTs. Despite the benefits of this additional RSS, vigilant monitoring remains essential, even in cases classified as low-risk due to the inherent unpredictability of SFT clinical outcomes. [ABSTRACT FROM AUTHOR]

Simple Summary: Tumor treatment is heavily dictated by the tumor progression status. However, in colon cancer, it is difficult to predict disease progression in the early stages. In this study, we have employed a proteomic analysis using matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI). MALDI-MSI is a technique that measures the molecular content of (tumor) tissue. We analyzed tumor samples of 276 patients. If the patients developed distant metastasis, they were considered to have a more aggressive tumor type than the patients that did not. In this comparative study, we have developed bioinformatics methods that can predict the tendency of tumor progression and advance a couple of molecules that could be used as prognostic markers of colon cancer. The prediction of tumor progression can help to choose a more adequate treatment for each individual patient. Currently, pathological evaluation of stage I/II colon cancer, following the Union Internationale Contre Le Cancer (UICC) guidelines, is insufficient to identify patients that would benefit from adjuvant treatment. In our study, we analyzed tissue samples from 276 patients with colon cancer utilizing mass spectrometry imaging. Two distinct approaches are herein presented for data processing and analysis. In one approach, four different machine learning algorithms were applied to predict the tendency to develop metastasis, which yielded accuracies over 90% for three of the models. In the other approach, 1007 m/z features were evaluated with regards to their prognostic capabilities, yielding two m/z features as promising prognostic markers. One feature was identified as a fragment from collagen (collagen 3A1), hinting that a higher collagen content within the tumor is associated with poorer outcomes. Identification of proteins that reflect changes in the tumor and its microenvironment could give a very much-needed prediction of a patient's prognosis, and subsequently assist in the choice of a more adequate treatment. [ABSTRACT FROM AUTHOR]