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E2F7 serves as a potential prognostic biomarker for lung adenocarcinoma.
E2F transcription factors (E2Fs) are a family of transcription factors critical regulators of the cell cycle, apoptosis, and differentiation, thus influencing tumorigenesis. However, the specific roles of E2Fs in lung adenocarcinoma (LUAD) remain unclear. Data from The Cancer Genome Atlas (TCGA) were used. R version. 4.0.3 and multiple databases (TIMER, cBioportal, gene expression profile interaction analysis [GEPIA], LinkedOmics, and CancerSEA) were utilized to investigate mRNA expression, mutational analysis, prognosis, clinical correlations, co-expressed gene, pathway and network, and single-cell analyses. Immunohistochemistry (IHC) confirmed that E2F transcription factor 7 (E2F7) correlated with LUAD. Among the E2Fs, E2F7 was identified by constructing a prognostic model most significantly associated with overall survival (OS) in LUAD patients. The univariate and multivariate Cox regression analyses showed that E2F7, p-T stage, and p-TNM stage were closely related to OS and progression-free survival (PFS) (P < .05) in LUAD. E2F 7/8 were also identified as significantly associated with tumor stage in the GEPIA database. Compared with paracancerous tissues, E2F7 was up-regulated in LUAD by IHC, and E2F7 might be positively correlated with larger tumors and higher TNM stages. E2F7 may primarily regulate DNA repair, damage, and cell cycle processes and thus affect LUAD tumorigenesis, invasion, and metastasis by LinkedOmics and CancerSEA. E2F7 serves as a potential prognostic biomarker for LUAD.
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Establishment and validation of a novel lysosome-related gene signature for predicting prognosis and immune landscape in hepatocellular carcinoma.
BACKGROUND: Recent studies have shown that lysosomes not only provide energy for tumor cell growth, but also participate in the occurrence and development of malignant tumors by regulating various ways of tumor cell death. However, the role of lysosome associated genes (LSAGs) in hepatocellular carcinoma (HCC) remains unclear. METHODS: Transcriptome data and clinical data of HCC were downloaded from the Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC) databases. We identified differential expression of LSAGs by comparing tumor tissue with normal liver tissue. Subsequently, we used univariate COX analysis and least absolute shrinkage and selection operator (LASSO) COX regression to construct the prognostic feature of LSAGs. Kaplan-Meier survival curve and receiver operating characteristic curve were used to evaluate the predictive ability of LSAGs feature. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were used for functional enrichment analysis of risk differential genes. The relationship between LSAGs score and tumor microenvironment and chemotherapy drug sensitivity was analyzed. Finally, the cellular communication of tumor cells with high and low expression of model LSAGs was explored. RESULTS: We identified sixteen prognostic associated LSAGs, four of which were selected to construct prognostic feature of LSAGs. Patients in the low LSAGs group had a better prognosis than those in the high LSAGs group. GO and KEGG analyses showed that risk differential genes were enriched in leukocyte migration, cytokine-cytokine receptor interaction and PI3K-Akt signaling pathway. The group with low LSAGs score had lower immune score. Patients in the high LSAGs group were more sensitive to drugs for chemotherapy. In addition, tumor cells with high expression of model LSAGs showed stronger association with immune cells through the interleukin-2 (IL2), fibroblast growth factor (FGF), adiponectin, and bone morphogenetic proteins (BMP) signaling pathways. CONCLUSION: We established a LSAGs signature that had the ability to predict clinical prognosis and immune landscape, proposing potential therapeutic targets for HCC.
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Effector T cells under hypoxia have an altered transcriptome similar to tumor-stressed T cells found in non-responsive melanoma patients.
BACKGROUND: In the tumor microenvironment (TME), hypoxia stands as a significant factor that modulates immune responses, especially those driven by T cells. As T cell-based therapies often fail to work in solid tumors, this study aims to investigate the effects of hypoxia on T cell topo-distribution in the TME, gene expression association with T cell states, and clinical responses in melanoma. METHODS: To generate detailed information on tumor oxygenation and T cell accessibility, we used mathematical modeling of human melanoma tissue microarrays that incorporate oxygen supply from vessels, intratumoral diffusion, and cellular uptake. We created tumor maps and derived plots showing the fraction of CD4 and CD8 T cells against the distance to the nearest vessel and oxygen pressure. To assess their function and transcriptional changes caused by hypoxia, effector T cells were generated and cultured under hypoxia (0.5% oxygen) or normoxia (21% oxygen). The T cell hypoxia-transcriptional signature was compared against datasets from msigDB, iATLAS (clinical trials of melanoma patients treated with immune checkpoint inhibitors (ICIs)), ORIEN AVATAR (real-world melanoma patients treated with ICIs), and a single-cell atlas of tumor-infiltrating lymphocytes. RESULTS: We made three specific observations: (1) in melanoma T cells preferentially accumulated in oxygenated areas close to blood vessels (50-100 µm from the vasculature in the regions of high oxygen availability) but not in hypoxic areas far from blood vessels. (2) Our analysis confirmed that under hypoxia, T cell functions were significantly reduced compared with normoxic conditions and accompanied by a unique gene signature. Furthermore, this hypoxic gene signature was prevalent in resting and non-activated T cells. Notably and clinically relevant, the hypoxic T cell gene set was found to correlate with reduced overall survival and reduced progression-free survival in melanoma patients, which was more pronounced in non-responder patients undergoing ICI therapy. (3) Finally, compared with a single-cell atlas of tumor-infiltrating T cells, our hypoxia signature aligned with a population of cells at a state termed stress response state (TSTR). CONCLUSIONS: Our study highlights the critical role of hypoxia in shaping T cell distribution and its correlation with clinical outcomes in melanoma. We revealed a preferential accumulation of T cells in oxygenated areas. Moreover, hypoxic T cells develop a distinct hypoxic gene signature prevalent in resting, non-activated T cells and TSTR that was also associated with poorer outcomes, particularly pronounced among non-responders to ICIs.
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Pan-cancer analysis reveals BAF complexes as immune-related biomarkers and validation in triple-negative breast cancer.
AIMS: BAF complexes (BAFs), ATP-dependent regulators of chromatin structure, play a significant role in cancer progression. This pan-cancer study aimed to decode the potential of specific BAFs in the pathology, immunity, and therapy of targeted cancers. MATERIALS AND METHODS: Data were retrieved from The Cancer Genome Atlas, Gene Expression Omnibus, and IMvigor210 databases and were analyzed for expression patterns, prognostic value, mutational signatures, biological pathways, tumor immune microenvironment (TIME) remodeling, and therapeutic resistance of BAFs. Experimental validation was also conducted. KEY FINDINGS: BAFs exhibit abnormal expression in various human cancers. The BAFs model and nomogram (based on multiple variables) were developed as prognostic tools. BAFs regulate the TIME and influence the response to anti-PD-L1 therapy, particularly through ACTL6A, as observed in RNA sequencing and single-cell RNA sequencing datasets (high-resolution gene expression data at the single-cell level). ACTLA6 is a major adverse gene in the prognostic model. Patients with high ACTL6A expression showed significantly worse overall survival (hazard ratio = 1.32, 95 % CI: 1.26-1.39, p < 0.001). ACTL6A expression escalates with breast cancer (BRCA) malignancy, particularly in triple-negative BRCA (TNBC), and correlates with immune checkpoint expression while playing a crucial role in promoting cancer metastasis in TNBC. SIGNIFICANCE: Our findings first emphasize the significance of a novel BAFs model for patient prognosis and corroborate the considerable role of BAFs as immune-related biomarkers in pan-cancer progression. ACTL6A has a dual role as an immune-related biomarker and potential therapeutic target in TNBC, deepening our comprehension of its function as an oncogene.
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BZW2 is a potential regulator of non-small cell lung cancer progression.
BACKGROUND: Personalized targeted therapy has become an important strategy for cancer treatment owing to its remarkable therapeutic efficacy and safety. However, drug resistance remains the primary cause of treatment failure. Basic leucine zipper and W2 domain 2 (BZW2), which is aberrantly expressed in cancer, has been implicated in tumor progression and may serve as a new therapeutic target. Therefore, the role of BZW2 in non-small cell lung cancer (NSCLC) requires further investigation. METHODS: The expression and genetic alterations of BZW2 in pan-cancers were explored using The Cancer Genome Atlas (TCGA) PanCancer databases. The mRNA and protein levels of BZW2 in patients with NSCLC were verified in our cohort. Functional experiments including CCK8, colony formation, and transwell assays were performed to evaluate the impact of BZW2 on the proliferative, migratory, and invasive capacities of SK-MES-1 cells. Gene Set Enrichment Analysis was used to identify underlying biological processes and pathways. Single-cell RNA (scRNA) sequencing data were employed to investigate the tumor microenvironment of NSCLC and the co-expression of BZW2 and stemness-related genes. RESULTS: Dysregulated BZW2 expression was observed in various malignant tumors. BZW2 expression was found to be significantly elevated in NSCLC. BZW2 depletion inhibited the growth, mobility, and invasive abilities of lung squamous cell carcinoma SK-MES-1 cells. BZW2 may be related to signaling pathways such as nucleotide excision repair, ubiquitin-mediated proteolysis, and the P53 signaling pathway. Biological processes, including translational initiation, tRNA processing, and RNA methylation, were observed to be enriched in the high-BZW2 group. Furthermore, there was a positive correlation between BZW2 and the m6A- and m5C-related genes. scRNA analysis revealed a co-expression relationship between BZW2 and stemness-related genes such as CD44, SOX9, and CD133. CONCLUSIONS: Elevated BZW2 expression is associated with the proliferation, migration, and invasion of NSCLC, and BZW2 may be a potential therapeutic target for NSCLC.
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Clinical characterization and immunosuppressive regulation of CD161 (KLRB1) in glioma through 916 samples.
BACKGROUND: Glioblastoma is a paradigm of cancer-associated immunosuppression, limiting the effects of immunotherapeutic strategies. Thus, identifying the molecular mechanisms underlying immune surveillance evasion is critical. Recently, the preferential expression of inhibitory natural killer (NK) cell receptor CD161 on glioma-infiltrating cytotoxic T cells was identified. Focusing on the molecularly annotated, large-scale clinical samples from different ethnic origins, the data presented here provide evidence of this immune modulator's essential roles in brain tumor biology. METHODS: Retrospective RNA-seq data analysis was conducted in a cohort of 313 patients with glioma in the Chinese Glioma Genome Atlas (CGGA) database and 603 patients in The Cancer Genome Atlas (TCGA) database. In addition, single-cell sequencing data from seven surgical specimens of glioblastoma patients and a model in which patient-derived glioma stem cells were cocultured with peripheral lymphocytes, were used to analyze the molecular evolution process during gliomagenesis. RESULTS: CD161 was enriched in high-grade gliomas and isocitrate dehydrogenase (IDH)-wildtype glioma. CD161 acted as a potential biomarker for the mesenchymal subtype of glioma and an independent prognostic factor for the overall survival (OS) of patients with glioma. In addition, CD161 played an essential role in inhibiting the cytotoxicity of T cells in glioma patients. During the process of gliomagenesis, the expression of CD161 on different lymphocytes dynamically evolved. CONCLUSION: The expression of CD161 was closely related to the pathology and molecular pathology of glioma. Meanwhile, CD161 promoted the progression and evolution of gliomas through its unique effect on T cell dysfunction. Thus, CD161 is a promising novel target for immunotherapeutic strategies in glioma treatment.
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Identification of tryptophan metabolism- and immune-related genes signature and prediction of immune infiltration landscape in bladder urothelial carcinoma.
INTRODUCTION: Tryptophan metabolism is indirectly involved in immune tolerance and promotes response to anticancer drugs. However, the mechanisms underlying tryptophan metabolism and immune landscape in bladder urothelial carcinoma (BLCA) are not fully understood. METHODS: A BLCA dataset containing 406 tumor samples with clinical survival information and 19 normal samples were obtained from the Cancer Genome Atlas database. The validation set, GSE32894, contained 223 BLCA tumor samples with survival information, and the single-cell dataset, GSE135337, included seven BLCA tumor samples; both were obtained from the gene expression omnibus database. Univariate and multivariate Cox regression analyses were conducted to evaluate clinical parameters and risk scores. Immune infiltration and checkpoint analyses were performed to explore the immune landscape of BLCA. Single-cell analysis was conducted to further identify the roles of model genes in BLCA. Finally, NAMPT expression in BLCA and adjacent tissues was detected using RT-qPCR, CCK-8 and Transwell assays were conducted to determine the role of NAMPT in BLCA cells. RESULTS: Six crossover genes (TDO2, ACAT1, IDO1, KMO, KYNU, and NAMPT) were identified by overlap analysis of tryptophan metabolism-related genes, immune-related genes, and differentially expressed genes (DEGs). Three biomarkers, NAMPT, IDO1, and ACAT1, were identified using Cox regression analysis. Accordingly, a tryptophan metabolism- and immune-related gene risk model was constructed, and the patients were divided into high- and low-risk groups. There were significant differences in the clinical parameters, prognosis, immune infiltration, and immunotherapy response between the risk groups. RT-qPCR revealed that NAMPT was upregulated in BLCA samples. Knocking down NAMPT significantly inhibited BLCA cell proliferation, migration, and invasion. DISCUSSION: In our study, we constructed a tryptophan metabolism- and immune-related gene risk model based on three biomarkers, namely NAMPT, IDO1, and ACAT1, that were significantly associated with the progression and immune landscape of BLCA. The risk model could effectively predict patient prognosis and immunotherapy response and can guide individualized immunotherapy.
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A single-cell atlas of bone marrow B cells reveals defective central B-cell tolerance in immune thrombocytopenia.
Immune thrombocytopenia (ITP) is characterized by the overproduction of antiplatelet autoantibodies. Although B-cell depletion therapies show promise in ITP, their high relapse rates suggest a potential de novo breakdown of tolerance during an early stage of B-cell development. Here, we investigated how central B-cell tolerance mechanisms affect autoantibody production in ITP. Paired single-cell RNA/B-cell receptor (BCR) sequencing and bulk BCR sequencing revealed reduced V-J genomic distances in immunoglobulin kappa-chain (IGK) genes within bone marrow and peripheral B cells from patients with ITP, along with decreased expression of recombination-activating gene in the immature B cells, suggesting insufficient receptor editing. Single-cell antibody cloning demonstrated increased autoreactive and polyreactive naïve B cells in ITP, indicating defective central B-cell tolerance. Through an in vivo study, we established a causal link between receptor editing defects and antiplatelet antibody production, validating the immature B-cell stage as the key phase of dysregulation. These findings suggest that insufficient receptor editing of immature B cells triggers central B-cell tolerance deficiency and autoantibody accumulation in ITP.
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Treatment resistance to melanoma therapeutics on a single cell level.
Therapy targeting the BRAF-MEK cascade created a treatment revolution for patients with BRAF mutant advanced melanoma. Unfortunately, 80% patients treated will progress by 5 years follow-up. Thus, it is imperative we study mechanisms of melanoma progression and therapeutic resistance. We created a scRNA (single cell RNA) atlas of 128,230 cells from 18 tumors across the treatment spectrum, discovering melanoma cells clustered strongly by transcriptome profiles of patients of origins. Our cell-level investigation revealed gains of 1q and 7q as likely early clonal events in metastatic melanomas. By comparing patient tumors and their derivative cell lines, we observed that PD1 responsive tumor fraction disappears when cells are propagated in vitro. We further established three anti-BRAF-MEK treatment resistant cell lines using three BRAF mutant tumors. ALDOA and PGK1 were found to be highly expressed in treatment resistant cell populations and metformin was effective in targeting the resistant cells. Our study suggests that the investigation of patient tumors and their derivative lines is essential for understanding disease progression, treatment response and resistance.
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Single-cell multi-omics of human preimplantation embryos shows susceptibility to glucocorticoids.
The preconceptual, intrauterine, and early life environments can have a profound and long-lasting impact on the developmental trajectories and health outcomes of the offspring. Given the relatively low success rates of assisted reproductive technologies (ART; ∼25%), additives and adjuvants, such as glucocorticoids, are used to improve the success rate. Considering the dynamic developmental events that occur during this window, these exposures may alter blastocyst formation at a molecular level, and as such, affect not only the viability of the embryo and the ability of the blastocyst to implant, but also the developmental trajectory of the first three cell lineages, ultimately influencing the physiology of the embryo. In this study, we present a comprehensive single-cell transcriptome, methylome, and small RNA atlas in the day 7 human embryo. We show that, despite no change in morphology and developmental features, preimplantation glucocorticoid exposure reprograms the molecular profile of the trophectoderm (TE) lineage, and these changes are associated with an altered metabolic and inflammatory response. Our data also suggest that glucocorticoids can precociously mature the TE sublineages, supported by the presence of extravillous trophoblast markers in the polar sublineage and presence of X Chromosome dosage compensation. Further, we have elucidated that epigenetic regulation-DNA methylation and microRNAs (miRNAs)-likely underlies the transcriptional changes observed. This study suggests that exposures to exogenous compounds during preimplantation may unintentionally reprogram the human embryo, possibly leading to suboptimal development and longer-term health outcomes.