Search

CDCA3 is an essential regulator in cell mitosis and can regulate many physiological and pathological processes in the human body by stimulating certain proteins such as cell cycle regulatory proteins, transcription factors, and signal transduction molecules. Although several studies have shown that dysregulation of CDCA3 is a common phenomenon in human cancers, no systematic pan-cancer analysis has been performed. In this study, we comprehensively investigated the role of CDCA3 in 33 human cancer types by utilizing multiple cancer-related databases and bioinformatics analysis tools, including TCGA, GTEx, GEPIA, TIMER, STRING, Metascape, and Cytoscape. Evidence from bioinformatics databases shows that CDCA3 is overexpressed in almost all human cancer types, and its overexpression is significantly associated with survival in patients with more than ten cancer types. CDCA3 expression positively correlates with immune cell infiltration levels in multiple human cancer types. Furthermore, the results of the GSEA analysis revealed that overexpression of CDCA3 may promote the malignant progression of cancer by activating various oncogenic signaling pathways in human cancers. In conclusion, our pan-cancer analysis provides a comprehensive overview of the oncogenic role of CDCA3 in multiple human cancer types, suggesting that CDCA3 may serve as a potential therapeutic target and prognostic biomarker in multiple human cancer types.

Supplementary Figures and Legend

Supplementary Table S1

Long noncoding RNAs (lncRNA) that are associated with immune checkpoints have not been identified, and the mechanism by which such lncRNAs might regulate the expression of immune checkpoints is unknown in human cancer. Immune checkpoint–associated lncRNAs (ICP-lncRNA) were identified and validated via a comprehensive bioinformatic analysis of The Cancer Genome Atlas data. These ICP-lncRNAs were involved in key immune response and immune cell receptor signaling pathways. The expression of ICP-lncRNAs was upregulated and correlated with a poor prognosis in patients with cancer. HLA complex P5 (HCP5) and myocardial infarction associated transcript (MIAT) promoted tumor growth and upregulated the expression of PD-L1/CD274 via a competing endogenous RNA mechanism of sponging miR-150-5p. The combination of MIAT knockdown and PD-L1 antibody administration showed a synergistic inhibitory effect on tumor growth. Finally, the expression of both HCP5 and MIAT was confirmed to be transcriptionally suppressed by CCCTC-binding factor (CTCF), and lipopolysaccharide induced CTCF eviction from the HCP5 and MIAT promoters, attenuating the transcriptionally suppressive activity of CTCF. This study enlarges the functional landscape of known lncRNAs in human cancer and indicates novel insights into their roles in the field of tumor immunity and immunotherapy. These findings may aid in the comprehensive management of human cancer with immunotherapy.

Neutralizing monoclonal antibodies (NAbs) with prophylactic and therapeutic efficacy have demonstrated fundamental importance in the control of SARS-CoV-2 transmission. However, their wide application has been largely limited by high cost and inconvenience in administration. Here, we developed an intranasal spray containing two synergetic human NAbs that could broadly neutralize the emerging Omicron variants in vitro. A unique synergetic neutralizing mechanism was identified that the two NAbs bound to exclusive epitopes on the RBD and structurally compensate each other in blocking the Spike-ACE2 interaction. Importantly, when given at low dosages for three consecutive days through the intranasal mucosal route, this cocktail showed significant improvement in the emergency preventive and therapeutic effects in hamsters challenged with authentic Omicron BA.1. Further, we performed an investigator-initiated trail in healthy volunteers (ChiCTR2200066525) to study the safety and pharmacokinetics of the antibody cocktail administrated as nasal spray. The nasal spray is generally safe and well tolerated without treatment related severe abnormal effects. The antibody cocktail nasal spray demonstrated nasal concentrations higher than the IC90of neutralization activity against Omicron BA.4/5 even at 24 hours post dosing. Furthermore, nasal samples from the study subjects demonstrated potent neutralization activity against Omicron BA.4/5 in an ex vivo pseudovirus neutralization assay. Together, we provide a novel approach for NAb regimens, a potentially highly effective product with broad applicable perspective in depressing the infection risk of new epidemic variant and ameliorating the heavy medical burden of hospital.One Sentence SummaryAn intranasal spray of two synergetic antibodies cocktail neutralizing Omicron BA.4/5 and an initial clinical evaluation in healthy volunteers.

The pandemic of COVID-19 caused by SARS-CoV-2 has made serious threats to the public health. Antibodies have been considered as promising therapeutics for the prevention and treatment of pathogens. So far, effectors that can influence the sustainability of SARS-CoV-2 specific antibodies in COVID-19 patients are still unclear. In this paper, we attempted to find potential key factors correlated with SARS-CoV-2 specific antibodies. Transcriptional analysis with the peripheral blood mononuclear cells (PBMCs) revealed proportional changes of immune cell subsets in COVID-19 convalescent patients, including a substantial decrease of monocytes and evident increase of dendritic cells (DCs). Moreover, we found that the gene expressions of chemokines associated with monocyte/macrophage were significantly up-regulated during the COVID-19 recovery phase. Most importantly, we found a set of 27 immune genes corresponding to a comparatively lower amount of SARS-CoV-2 specific antibodies, and identified two hub genes, IL1β and IL6, the protein expressions of which exhibited negative correlation with the immunoglobulin G (IgG) levels in COVID-19 convalescent sera. In addition, we found that high expressions of these 2 hub genes during the convalescent stage were negatively associated with the plasma cell marker CD138. Our study presented two key inflammatory factors correlated to the low level of SARS-CoV-2 specific antibodies, which indicated the potential regulatory process of plasmatic antibodies levels in some COVID-19 convalescent patients.

Purpose: While a pathologic complete response (pCR) is regarded as a surrogate endpoint for pos-itive outcomes in breast cancer (BC) patients receiving neoadjuvant chemotherapy (NAC), fore-casting the prognosis of non-pCR patients is still an open issue. This study aimed to create and evaluate nomogram models for estimating the likelihood of disease-free survival (DFS) for non-pCR patients. Methods: A retrospective analysis of 607 non-pCR BC patients was conducted (2012–2018). After converting continuous variables to categorical variables, variables entering the model were progressively identified by univariate and multivariate Cox regression analyses, and then pre-NAC and post-NAC nomogram models were developed. Regarding their discrimination, ac-curacy, and clinical value, the performance of the models was evaluated by internal and external validation. Two risk assessments were performed for each patient based on two models; patients were separated into different risk groups based on the calculated cut-off values for each model, including low-risk (assessed by the pre-NAC model) to low-risk (assessed by the post-NAC model), high-risk to low-risk, low-risk to high-risk, and high-risk to high-risk groups. The DFS of different groups was assessed using the Kaplan–Meier method. Results: Both pre-NAC and post-NAC nomogram models were built with clinical nodal (cN) status and estrogen receptor (ER), Ki67, and p53 status (all p < 0.05), showing good discrimination and calibration in both internal and external validation. We also assessed the performance of the two models in four subtypes, with the tri-ple-negative subtype showing the best prediction. Patients in the high-risk to high-risk subgroup have significantly poorer survival rates (p < 0.0001). Conclusion: Two robust and effective nomo-grams were developed to personalize the prediction of DFS in non-pCR BC patients treated with NAC.

Neutralizing antibodies (NAbs) can prevent and treat infections caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, continuously emerging variants, such as Omicron, have significantly reduced the potency of most known NAbs. The selection of NAbs with broad neutralizing activities and the identification of conserved critical epitopes are still urgently needed. Here, we identified an extremely potent antibody (55A8) by single B-cell sorting from convalescent SARS-CoV-2-infected patients that recognized the receptor-binding domain (RBD) in the SARS-CoV-2 spike (S) protein. 55A8 could bind to wild-type SARS-CoV-2, Omicron BA.1 and Omicron BA.2 simultaneously with 58G6, a NAb previously identified by our group. Importantly, an antibody cocktail containing 55A8 and 58G6 (2-cocktail) showed synergetic neutralizing activity with a half-maximal inhibitory concentration (IC50) in the picomolar range in vitro and prophylactic efficacy in hamsters challenged with Omicron (BA.1) through intranasal delivery at an extraordinarily low dosage (25 μg of each antibody daily) at 3 days post-infection. Structural analysis by cryo-electron microscopy (cryo-EM) revealed that 55A8 is a Class III NAb that recognizes a highly conserved epitope. It could block angiotensin-converting enzyme 2 (ACE2) binding to the RBD in the S protein trimer via steric hindrance. The epitopes in the RBD recognized by 55A8 and 58G6 were found to be different and complementary, which could explain the synergetic mechanism of these two NAbs. Our findings not only provide a potential antibody cocktail for clinical use against infection with current SARS-CoV-2 strains and future variants but also identify critical epitope information for the development of better antiviral agents.

Breast cancer patients at the same stage may show different clinical prognoses or different therapeutic effects of systemic therapy. Differentially expressed genes of breast cancer were identified from GSE42568. Through survival, receiver operating characteristic (ROC) curve, random forest, GSVA and a Cox regression model analyses, genes were identified that could be associated with survival time in breast cancer. The molecular mechanism was identified by enrichment, GSEA, methylation and SNV analyses. Then, the expression of a key gene was verified by the TCGA dataset and RT-qPCR, Western blot, and immunohistochemistry. We identified 784 genes related to the 5-year overall survival time of breast cancer. Through ROC curve and random forest analysis, 10 prognostic genes were screened. These were integrated into a complex by GSVA, and high expression of the complex significantly promoted the recurrence-free survival of patients. In addition, key genes were related to immune and metabolic-related functions. Importantly, we identified methylation of MEX3A and TBC1D 9 and mutations events. Finally, the expression of UGCG was verified by the TCGA dataset and by experimental methods in our own samples. These results indicate that 10 genes may be potential biomarkers and therapeutic targets for long-term survival in breast cancer, especially UGCG.

This study is aimed at exploring the potential mechanism of angiogenesis, a biological process-related gene in breast cancer (BRCA), and constructing a risk model related to the prognosis of BRCA patients. We used multiple bioinformatics databases and multiple bioinformatics analysis methods to complete our exploration in this research. First, we use the RNA-seq transcriptome data in the TCGA database to conduct a preliminary screening of angiogenesis-related genes through univariate Cox curve analysis and then use LASSO regression curve analysis for secondary screening. We successfully established a risk model consisting of seven angiogenesis-related genes in BRCA. The results of ROC curve analysis show that the risk model has good prediction accuracy. We can successfully divide BRCA patients into the high-risk and low-risk groups with significant prognostic differences based on this risk model. In addition, we used angiogenesis-related genes to perform cluster analysis in BRCA patients and successfully divided BRCA patients into three clusters with significant prognostic differences, namely, cluster 1, cluster 2, and cluster 3. Subsequently, we combined the clinical-pathological data for correlation analysis, and there is a significant correlation between the risk model and the patient’s T and stage. Multivariate Cox regression curve analysis showed that the age of BRCA patients and the risk score of the risk model could be used as independent risk factors in the progression of BRCA. In particular, based on this angiogenesis-related risk model, we have drawn a matching nomogram that can predict the 5-, 7-, and 10-year overall survival rates of BRCA patients. Subsequently, we performed a series of pan-cancer analyses of CNV, SNV, OS, methylation, and immune infiltration for this risk model gene and used GDSC data to explore drug sensitivity. Subsequently, to gain insight into the protein expression of these risk model genes in BRCA, we used the immunohistochemical data in the THPA database for verification. The results showed that the protein expressions of IL18, RUNX1, SCG2, and THY1 molecules in BRCA tissues were significantly higher than those in normal breast tissues, while the protein expressions of PF4 and TNFSF12 molecules in BRCA tissues were significantly lower than those in normal breast tissues. Finally, we conducted multiple GSEA analyses to explore the biological pathways these risk model genes can cross in cancer progression. In summary, we believe that this study can provide valuable data and clues for future studies on angiogenesis in BRCA.

Background Neoadjuvant chemotherapy (NAC) has been widely used to treat locally advanced and inflammatory breast cancer. The initial purpose of neoadjuvant chemotherapy in operable breast cancer is to reduce the tumor stage, achieve local control, and increase the conservative operation rate. Another significant advantage of using neoadjuvant chemotherapy is the early identification of unresponsive tumors, predicting the sensitivity of new drugs and promoting the development of new medicines and clinical trials. It is generally believed that complete pathological response (pCR) after neoadjuvant chemotherapy treatment predicts survival. The overall survival rate of patients who achieve pCR is much higher than that of patients who do not. Therefore, it is essential to predict the response of patients to neoadjuvant chemotherapy. There is increasing evidence that patient-derived organoids (PDOs) can be used in cancer research and drug development and for the personalized in vitro evaluation of drug responses.Method We generated a living organoid biobank from locally advanced breast cancer patients receiving neoadjuvant chemotherapy. These patients had three clinically common molecular types of breast cancer (luminal-type, triple-negative and HER2+ breast cancer). When the patient received clinical neoadjuvant chemotherapy, the organoids were treated with similar drugs, thereby simulating the situation of the patient receiving treatmentResult We successfully constructed organoids from breast cancer biopsies to simulate clinical treatment, demonstrating that viable tumoroid lines can be generated from a small sample of tissue. The phenotype of breast cancer organoid often agreed with the original breast cancer according to the blinded histopathological analysis of H&E stain tissue and organoid sections. Our clinical trial data confirm that the patient's response to chemotherapy closely matches the organoids’ response to drugs. The patient-derived organoids may identify breast cancer patients who respond to neoadjuvant chemotherapy and thereby improve initial care.Conclusion Our data indicate that patient-derived organoids can be used to predict the clinical response of breast cancer patients to neoadjuvant chemotherapy in vitro and to screen drugs that have different effects on different patients.

Accumulating mutations in the SARS-CoV-2 Spike (S) protein can increase the possibility of immune escape, challenging the present COVID-19 prophylaxis and clinical interventions. Here, 3 receptor binding domain (RBD) specific monoclonal antibodies (mAbs), 58G6, 510A5 and 13G9, with high neutralizing potency blocking authentic SARS-CoV-2 virus display remarkable efficacy against authentic B.1.351 virus. Surprisingly, structural analysis has revealed that 58G6 and 13G9 both recognize the steric region S470–495 on the RBD, overlapping the E484K mutation presented in B.1.351. Also, 58G6 directly binds to another region S450–458 in the RBD. Significantly, 58G6 and 510A5 both demonstrate prophylactic efficacy against authentic SARS-CoV-2 and B.1.351 viruses in the transgenic mice expressing human ACE2 (hACE2), protecting weight loss and reducing virus loads. Together, we have evidenced 2 potent neutralizing Abs with unique mechanism targeting authentic SARS-CoV-2 mutants, which can be promising candidates to fulfill the urgent needs for the prolonged COVID-19 pandemic., Neutralizing antibodies are currently one versatile strategy to treat SARS-CoV-2 infection. Here, Li et al. characterize three monoclonal antibodies neutralizing authentic virus infection in vitro and in vivo by targeting the receptor binding domain as evidenced by Cryo-EM.

Adoptive immunotherapy using CAR-T cells is a promising curative treatment strategy for hematological malignancies. Current manufacture of clinical-grade CAR-T cells based on lentiviral/retrovirus transfection of T cells followed by anti-CD3/CD28 activation supplemented with IL-2 has been associated with low transfection efficiency and usually based on the use of terminally differentiated effector T cells. Thus, improving the quality and the quantity of CAR-T cells are essential for optimizing the CAR-T cell preparation. In our study, we focus on the role of IL-21 in the γc cytokine conditions for CAR-T cell preparation. We found for the first time that the addition of IL-21 in the CAR-T preparation improved T cell transfection efficiency through the reduction of IFN-γ expression 24–48 h after T cell activation. We also confirmed that IL-21 enhanced the enrichment and expansion of less differentiated CAR-T cells. Finally, we validated that IL-21 improved the CAR-T cell cytotoxicity, which was related to increased secretion of effector cytokines. Together, these findings can be used to optimize the CAR-T cell preparation.

Despite the growing knowledge of T cell responses in COVID-19 patients, there is a lack of detailed characterizations for T cell-antigen interactions and T cell functions. Here, with a predicted peptide library from SARS-CoV-2 S and N proteins, restricted to three of the most prominent HLA-A alleles in the Asian population, we found that specific CD8+ T cell responses were identified in over 75% of COVID-19 convalescent patients (15/20). A total of 15 SARS-CoV-2 epitopes from the S and N proteins were identified, and among them, 3 dominant epitopes were further characterized. We found that an epitope from the N protein, N361-369 (KTFPPTEPK), was the most dominant epitope from our selected peptide library. Importantly, we discovered 2 N361-369-specific T cell receptors (TCRs) with high functional avidity that were independent of the CD8 co-receptor. These TCRs exhibited complementary cross-reactivity to several presently reported N361-369 mutant variants, as to the wild-type epitope. Further, the natural functions of these TCRs in the cytotoxic immunity against SARS-CoV-2 were determined with dendritic cells (DCs) and the lung organoid model. We found that the N361-369 epitope could be normally processed and endogenously presented by these different types of antigen presenting cells, to elicit successful activation and effective cytotoxicity of CD8+ T cells ex vivo. Our study evidenced potential mechanisms of cellular immunity to SARS-CoV-2, and illuminated potential ways of viral clearance in COVID-19 patients. These results indicate that utilizing CD8-independent TCRs against SARS-CoV-2-associated antigens may provide functional superiority that is beneficial for the adoptive cell immunotherapies based on natural or genetically engineered T cells. Additionally, this information is highly relevant for the development of the next-generation vaccines with protections against continuously emerged SARS-CoV-2 mutant strains.

The efficacy of adoptive cell therapy (ACT) relies on the abilities of T cells in self-expansion, survival and the secretion of effector molecules. Here, we presented an optimized method to generate T cells with improved functions by supplementing the culture medium with p38 inhibitor and the combination of IL-7 and IL-15 or IL-2 alone. The addition of p38 inhibitor, Doramapimod or SB202190, to IL-7 and IL-15 culture largely increased the capacity of T cells in the proliferation with enrichment of the naive-like subsets and expression of CD62L. Importantly, we found this regimen has generated complete T cell resistance to TGF-β-induced functional suppression, with sustained levels of the IFN-γ and Granzyme-B productions. Such findings were also validated in the melanoma-associated antigen recognized by T cells (MART-1) specific T cell receptor (TCR) engineered T cells, which were expanded in Doramapimod and IL-7 + IL-15 added media. In conclusion, we have established and optimized a protocol with the combination of p38 inhibitor, IL-7 and IL-15, rather than IL-2, for the generation of functionally enhanced T cells applicable for ACT.

Accumulating mutations in the SARS-CoV-2 Spike (S) protein can increase the possibility of immune escape, challenging the present COVID-19 prophylaxis and clinical interventions. Here, 3 receptor binding domain (RBD) specific monoclonal antibodies (mAbs), 58G6, 510A5 and 13G9, with high neutralizing potency blocking authentic SARS-CoV-2 virus displayed remarkable efficacy against authentic B.1.351 virus. Each of these 3 mAbs in combination with one neutralizing Ab recognizing non-competing epitope exhibited synergistic effect against authentic SARS-CoV-2 virus. Surprisingly, structural analysis revealed that 58G6 and 13G9, encoded by the IGHV1-58 and the IGKV3-20 germline genes, both recognized the steric region S470-495 on the RBD, overlapping the E484K mutation presented in B.1.351. Also, 58G6 directly bound to another region S450-458 in the RBD. Significantly, 58G6 and 510A5 both demonstrated prophylactic efficacy against authentic SARS-CoV-2 and B.1.351 viruses in the transgenic mice expressing human ACE2 (hACE2), protecting weight loss and reducing virus loads. These 2 ultrapotent neutralizing Abs can be promising candidates to fulfill the urgent needs for the prolonged COVID-19 pandemic.

Background: The oncogenic lncRNA based strategies for combating cancer may usher in a new and promising paradigm in cancer therapy. However, few studies have been performed to solve such a critical issue. The complex traits and molecular mechanism of such lncRNAs in tumorigenesis and their relationship with sensitivity of gefitinib in human cancer have not been investigated.Methods: We aimed to identify and validate such a novel oncogenic LINC00036 using transcriptome sequencing approach and a large number of tissue samples of different types of cancer from the our cancer center cohort and public data cohorts from the Cancer Genome Atlas，Gene Expression Omnibus and Cancer Cell Line Encyclopedia. Moreover, series of in vitro and in vivo experiments were performed to examine its roles in tumorigenesis and the sensitivity of gefitinib in different types of cancer cells. Special nanoparticle via a more potent delivery system was developed to investigate the feasibility of targeting LINC00036 in vivo. Furthermore, chromatin immunoprecipitation (ChIP)-sequencing, ChIP, actinomycin D assay, dual-luciferase reporter assay, RNA pull-down and RNA immunoprecipitation were performed were developed to uncover the molecular mechanism.Results: LINC00036 that associated with poor prognosis is significantly upregulated in human cancer tissues. Series of in vitro and in vivo experiments reveal that LINC00036 promotes tumorigenesis and decreases the sensitivity of gefitinib in different types of cancer cells. LINC00036 targeting nanoparticle markedly reduced the growth of human cancer xenografts. Mechanistically, LINC00036 is a direct transcriptional target of c-MYC and a positive feedback loop of the c-MYC-LINC00036-EGFR axis exists in human cancer. LINC00036 acts as an EGFR mRNA stabilizer via RNA-protein and RNA-RNA interactions, inducing the hyper-activation of the downstream AKT and MAPK signaling pathways, which in turn decreases the sensitivity of gefitinib in human cancer.Conclusions: LINC00036, a c-MYC inducible onco-lncRNA, acts an oncogene in human cancer and decreases the sensitivity of gefitinib through positive feedback loop of the c-MYC-LINC00036-EGFR axis. Overall, this study broadens knowledge regarding novel onco-lncRNAs and will assist in developing feasible onco-lncRNAs based-targeted therapeutic strategies to improve the sensitivity of gefitinib in human cancer.

Despite the growing knowledge of T cell responses and their epitopes in COVID-19 patients, there is a lack of detailed characterizations for T cell-antigen interactions and T cell functions. Using a peptide library predicted with HLA class I-restriction, specific CD8+ T cell responses were identified in over 75% of COVID-19 convalescent patients. Among the 15 SARS-CoV-2 epitopes identified from the S and N proteins, N361-369 (KTFPPTEPK) was the most dominant epitope. Importantly, we discovered 2 N361-369-specific T cell receptors (TCRs) with high functional avidity, and they exhibited complementary cross-reactivity to reported N361-369 mutant variants. In dendritic cells (DCs) and the lung organoid model, we found that the N361-369 epitope could be processed and endogenously presented to elicit the activation and cytotoxicity of CD8+ T cells ex vivo. Our study evidenced potential mechanisms of cellular immunity to SARS-CoV-2, illuminating natural ways of viral clearance with high relevancy in the vaccine development.

The spread of SARS-CoV-2 confers a serious threat to the public health without effective intervention strategies1–3. Its variant carrying mutated Spike (S) protein D614G (SD614G) has become the most prevalent form in the current global pandemic4,5. We have identified a large panel of potential neutralizing antibodies (NAbs) targeting the receptor-binding domain (RBD) of SARS-CoV-2 S6. Here, we focused on the top 20 potential NAbs for the mechanism study. Of them, the top 4 NAbs could individually neutralize both authentic SARS-CoV-2 and SD614G pseudovirus efficiently. Our epitope mapping revealed that 16/20 potent NAbs overlapped the same steric epitope. Excitingly, we found that one of these potent NAbs (58G6) exclusively bound to a linear epitope on S-RBD (termed as 58G6e), and the interaction of 58G6e and the recombinant ACE2 could be blocked by 58G6. We confirmed that 58G6e represented a key site of vulnerability on S-RBD and it could positively react with COVID-19 convalescent patients’ plasma. We are the first, as far as we know, to provide direct evidences of a linear epitope that can be recognized by a potent NAb against SARS-CoV-2 S-RBD. This study paves the way for the applications of these NAbs and the potential safe and effective vaccine design.

Neutralizing antibodies (Abs) have been considered as promising therapeutics for the prevention and treatment of pathogens. After the outbreak of COVID-19, potent neutralizing Abs to SARS-CoV-2 were promptly developed, and a few of those neutralizing Abs are being tested in clinical studies. However, there were few methodologies detailly reported on how to rapidly and efficiently generate neutralizing Abs of interest. Here, we present a strategically optimized method for precisive screening of neutralizing monoclonal antibodies (mAbs), which enabled us to identify SARS-CoV-2 receptor-binding domain (RBD) specific Abs within 4 days, followed by another 2 days for neutralization activity evaluation. By applying the screening system, we obtained 198 Abs against the RBD of SARS-CoV-2. Excitingly, we found that approximately 50% (96/198) of them were candidate neutralizing Abs in a preliminary screening of SARS-CoV-2 pseudovirus and 20 of these 96 neutralizing Abs were confirmed with high potency. Furthermore, 2 mAbs with the highest neutralizing potency were identified to block authentic SARS-CoV-2 with the half-maximal inhibitory concentration (IC50) at concentrations of 9.88 ng/ml and 11.13 ng/ml. In this report, we demonstrated that the optimized neutralizing Abs screening system is useful for the rapid and efficient discovery of potent neutralizing Abs against SARS-CoV-2. Our study provides a methodology for the generation of preventive and therapeutic antibody drugs for emerging infectious diseases.

Background/Aims: The oncogenic role of linc00152 in pan-cancer is unclear. Methods: In this study, RNA-Seq of 33 breast specimens was performed, and the expression of linc00152 was validated by qPCR using 50 paired breast cancer tissues and adjacent normal tissues. This result combined with the expression of linc00152 in pan-cancer was revalidated by Gene Expression Omnibus and The Cancer Genome Atlas data. Next, the oncogenic roles of linc00152 in view of prognosis, chemoresistance, genomic and epigenetic regulation, including DNA methylation and histone modification, potential biological function enrichment, and basic molecular function in pan-cancer, were also evaluated in vitro and in vivo . Results: Linc00152 is upregulated in pan-cancer, especially in progressive cancer, and the high expression of linc00152 may lead to a worse prognosis and chemoresistance in pan-cancer patients. Amplification, DNA hypomethylation, promoter-like lncRNA characteristics and super-enhancer regulation are the drivers that lead to the upregulation of linc00152 in pan-cancer. Meanwhile, linc00152 was involved in cancer-related pathways, infection and immune response-associated pathways by enriched analysis using TCGA data. Finally, linc00152 was confirmed to promote the proliferation, migration and invasion in MDA-MB-231, SGC-7901 and 786-O. Moreover, RIP and RNA pull-down assays indicated that linc00152 can bind to EZH2 directly. Conclusion: All of the results indicated that linc00152 acted as an oncogenic propellant from various perspectives, and it may be an effective therapy target in pan-cancer.

Tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) receptor-1/2 (TRAIL-R1/R2), also known as death receptors, are expressed in a wide variety of tumor cells. Although TRAIL can induce cell apoptosis by engaging its cognate TRAIL-R1/R2, some tumor cells are or become resistant to TRAIL treatment. Monoclonal antibodies (mAbs) against TRAIL-R1/R2 have been developed to use as potential antitumor therapeutic agents instead of TRAIL. However, TRAIL-R1/R2-based tumor therapy has not yet been realized. We previously generated a series of fully human monoclonal antibodies against TRAIL-R1 (TR1-mAbs) that induced tumor cell apoptosis. In this study, we identified the antigenic binding sites of these TR1-mAbs and proposed two major epitopes on the extracellular domain of TRAIL-R1. The analysis revealed that the epitopes of some TR1-mAbs partially overlaps with the beginning of TRAIL-binding sites, and other epitopes are located within the TRAIL-binding region. Among these mAbs, TR1-422 and TR1-419 mAbs have two antigenic binding sites that bound to the same binding region, but they have different essential amino acid residues and binding site sizes. Furthermore, we investigated the apoptosis activity of TR1-419 and TR1-422 mAbs in the form of IgG and IgM. In contrast to the IgG-type TR1-419 and TR1-422 mAbs, which enhanced and inhibited TRAIL-induced apoptosis, respectively, both IgM-type TR1-419 and TR1-422 mAb strongly induced cell apoptosis with or without soluble TRAIL (sTRAIL). Moreover, the results showed that IgM-type TR1-419 and TR1-422 mAbs alone can sufficiently activate the extrinsic and intrinsic apoptosis signaling pathways and suppress tumor growth in vivo. Consequently, we identified two antigenic binding sites with agonistic activity, and their specific IgM-type mAbs exhibited strong cytotoxic activity in tumor cells in vitro and in vivo. Thus, these agonistic antigenic binding sites may be useful for the development of effective Ab-based drugs or Ab-based cell immunotherapy for various human solid tumors.

Long noncoding RNAs (lncRNA) that are associated with immune checkpoints have not been identified, and the mechanism by which such lncRNAs might regulate the expression of immune checkpoints is unknown in human cancer. Immune checkpoint–associated lncRNAs (ICP-lncRNA) were identified and validated via a comprehensive bioinformatic analysis of The Cancer Genome Atlas data. These ICP-lncRNAs were involved in key immune response and immune cell receptor signaling pathways. The expression of ICP-lncRNAs was upregulated and correlated with a poor prognosis in patients with cancer. HLA complex P5 (HCP5) and myocardial infarction associated transcript (MIAT) promoted tumor growth and upregulated the expression of PD-L1/CD274 via a competing endogenous RNA mechanism of sponging miR-150-5p. The combination of MIAT knockdown and PD-L1 antibody administration showed a synergistic inhibitory effect on tumor growth. Finally, the expression of both HCP5 and MIAT was confirmed to be transcriptionally suppressed by CCCTC-binding factor (CTCF), and lipopolysaccharide induced CTCF eviction from the HCP5 and MIAT promoters, attenuating the transcriptionally suppressive activity of CTCF. This study enlarges the functional landscape of known lncRNAs in human cancer and indicates novel insights into their roles in the field of tumor immunity and immunotherapy. These findings may aid in the comprehensive management of human cancer with immunotherapy.

Background: Breast cancer patients at the same stage may show different clinical prognosis or different therapeutic effects of systemic therapy. Methods: The differentially expressed genes were identified of breast cancer from GSE42568. Through survival, ROC, random forest, GSVA and Cox regression model to identify genes that can be associated with survival time in breast cancer. The molecular mechanism was identified by enrichment and GSEA, methylation and SNV analysis. Then, the expression of a key gene was verified by TCGA dataset and RT-qPCR, Western blot, immunohistochemistry. Findings: We identified 784 genes related to the 5-year survival time of breast cancer. Through ROC curve and random forest, we screened 10 prognostic genes. Which were integrated into complex by GSVA, high expression of the complex significantly promoted the recurrence free survival of breast cancer patients. Enrichment analysis showed that key genes were related to immune and metabolic related functions. Importantly, we found methylation of MEX3A and TBC1D9, and mutations events. Finally, the expression of UGCG was verified by TCGA dataset and RT-qPCR, Western blot, immunohistochemistry in our own samples. Interpretation: The results indicate that the 10 genes may be potential biomarkers and therapeutic targets for long-term survival in breast cancer, especially UGCG. Funding Statement: This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. Declaration of Interests: All authors declare no competing interests. Ethics Approval Statement: This study was approved by the human ethics review committee of Harbin Medical University. Ten cases of breast cancer were collected from the Cancer Institute of the Harbin Medical University Cancer Hospital with the informed consent of the patients.

Tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) or agonistic antibodies targeting TRAIL-receptors (TRAIL-Rs) can selectively induce apoptosis in cancer cells. However, they have limited antitumor efficacy in clinical trials. We previously generated ten fully human monoclonal Abs to TRAIL-receptor type 1 (TR1-mAbs) using immunospot array assay on a chip (ISAAC technology). We found that the TR1-mAbs exhibited different effects on TRAIL-induced apoptosis (enhanced or blocked apoptosis). Here, we further demonstrated that some mAbs competed with TRAIL for binding to TRAIL-R1 expressed on tumor cells that blocked TRAIL-induced apoptosis (B-TR1-Ab), whereas others did not compete with TRAIL that enhanced TRAIL-induced apoptosis (E-TR1-Ab). Combination of E-TR1-Ab (TR1-419) with TRAIL leads to enhanced antitumor activity in various tumor cells in vitro. E-TR1-419 and TRAIL could cooperate to upregulate the mRNA expression and protein levels of TRAIL-R1 and to promote caspase-8 cleavage and increased JNK phosphorylation. Our results suggest that combining E-TR1 Ab with TRAIL could provide a new therapeutic strategy for tumor immunotherapies.

The giant panda (Ailuropoda melanoleuca) is the most iconic endangered species in the world, but there is little information about the spatial and temporal distribution of parasites in the wild giant panda population. In total, 193 fecal samples from giant pandas in the Foping National Nature Reserve, People's Republic of China, were analyzed for parasite eggs using a modification of the McMaster technique. The morphology and size of Baylisascaris schroederi eggs were observed under an optical microscope. The prevalence and intensity of B. schroederi infection during the sampling year 2012 were 52.3% (101/193) and 89 eggs/g of feces, respectively, among giant pandas in this population. The prevalence of B. schroederi in the pandas varied during different months of the year, from 7% to 100%, and the prevalences in spring, summer, autumn, and winter were 71, 77, 23, and 18%, respectively. The prevalence was not significantly different between giant pandas that ate two different types of bamboo, but the intensity of infection was higher in the group eating Arundinaria fargesii (P=0.043). Altitude, temperature, and dew point were correlated with the infection intensity (r=-0.224, P