Cancer. Immune surveillance from chromosomal chaos?

Pan-cancer analysis identifies CLEC12A as a potential biomarker and therapeutic target for lung adenocarcinoma

C-type lectin domain family 12 member A (CLEC12A) is a type II transmembrane glycoprotein widely expressed in innate immune cells, where it plays a crucial role in immune modulation and has been implicated in cancer progression. However, its precise function in oncogenesis and immune infiltration remains incompletely understood. To investigate this, we utilized multiple databases to assess the mRNA and protein expression levels of CLEC12A across normal tissues and a broad spectrum of cancers. We also evaluated its prognostic and diagnostic significance in pan-cancer contexts. Furthermore, the relationship between CLEC12A expression and immune cell infiltration, immune checkpoints, and immune predictors was explored. In addition, Weighted Gene Co-Expression Network Analysis (WGCNA) and differential expression analysis were performed to examine the biological relevance of CLEC12A in lung adenocarcinoma (LUAD). We also leveraged various databases to predict CLEC12A's response to immunotherapy and drug sensitivity. Finally, in vitro experiments validated the functional role of CLEC12A in LUAD. Our comprehensive pan-cancer analysis revealed that CLEC12A exhibited distinct expression patterns across different cancer types, suggesting its potential as both a diagnostic and prognostic biomarker. Notably, CLEC12A expression was strongly correlated with immune cell infiltration, immune checkpoints, and immune predictors. Functional enrichment analysis highlighted that increased CLEC12A expression in LUAD was associated with a variety of immune-related biological processes and pathways. Moreover, CLEC12A showed significant predictive value for immunotherapy outcomes, and several drugs targeting CLEC12A were identified. In vitro experiments further demonstrated that CLEC12A overexpression inhibited the proliferation, migration, and invasion of LUAD cells. Taken together, our findings position CLEC12A as a promising candidate for cancer detection, prognosis, and as a therapeutic target, particularly in LUAD, where it may serve as a potential target for both immunotherapy and targeted therapy.

CCDC58 is a potential biomarker for diagnosis, prognosis, immunity, and genomic heterogeneity in pan-cancer

Coiled-coil domain-containing 58 (CCDC58) is a member of the CCDC protein family. Similar to other members, CCDC58 exhibits potential tumorigenic roles in a variety of malignancies. However, there is no systematic and comprehensive pan-cancer analysis to investigate the diagnosis, prognosis, immune infiltration, and other related functions of CCDC58. We used several online websites and databases, such as TCGA, GTEx, UALCAN, HPA, CancerSEA, BioGRID, GEPIA 2.0, TIMER 2.0, and TISIDB, to extract CCDC58 expression data and clinical data of patients in pan-cancer. Then, the relationship between CCDC58 expression and diagnosis, prognosis, genetic alterations, DNA methylation, genomic heterogeneity, and immune infiltration level were determined. In addition, the biological function of CCDC58 in liver hepatocellular carcinoma (LIHC) was investigated. Pan-cancer analysis results showed that CCDC58 was differentially expressed in most tumors and showed excellent performance in diagnosis and prediction of prognosis. The expression of CCDC58 was highly correlated with genetic alterations, DNA methylation, and genomic heterogeneity in some tumors. In addition, the correlation analysis of CCDC58 with the level of immune infiltration and immune checkpoint marker genes indicated that CCDC58 might affect the composition of the tumor immune microenvironment. Enrichment analysis showed that CCDC58-related genes were mainly linked to mitosis, chromosome, and cell cycle. Finally, biological function experiments demonstrated that CCDC58 plays an important role in tumor cell proliferation and migration. CCDC58 was first identified as a pan-cancer biomarker. It may be used as a potential therapeutic target to improve the prognosis of patients in the future.

Dynamics of The Γδtcr Repertoires During The Dedifferentiation Process and Pilot Implications for Immunotherapy of Thyroid Cancer

γδ T cells are evolutionarily conserved T lymphocytes that manifest unique antitumor efficacy independent of tumor mutation burden (TMB) and conventional human leukocyte antigen (HLA) recognition. However, the dynamic changes in their T cell receptor (TCR) repertoire during cancer progression and treatment courses remain unclear. Here, a comprehensive characterization of γδTCR repertoires are performed in thyroid cancers with divergent differentiation states through cross-sectional studies. The findings revealed a significant correlation between the differentiation states and TCR repertoire diversity. Notably, highly expanded clones are prominently enriched in γδ T cell compartment of dedifferentiated patients. Moreover, by longitudinal investigations of the γδ T cell response to various antitumor therapies, it is found that the emergence and expansion of the Vδ2neg subset may be potentially associated with favorable clinical outcomes after post-radiotherapeutic immunotherapy. These findings are further validated at single-cell resolution in both advanced thyroid cancer patients and a murine model, underlining the importance of further investigations into the role of γδTCR in cancer immunity and therapeutic strategies.

The Unfolded Protein Response at the Tumor-Immune Interface

The tumor-immune interface has surged to primary relevance in an effort to understand the hurdles facing immune surveillance and cancer immunotherapy. Reports over the past decades have indicated a role for the unfolded protein response (UPR) in modulating not only tumor cell fitness and drug resistance, but also local immunity, with emphasis on the phenotype and altered function of immune cells such as myeloid cells and T cells. Emerging evidence also suggests that aneuploidy correlates with local immune dysregulation. Recently, we reported that the UPR serves as a link between aneuploidy and immune cell dysregulation in a cell nonautonomous way. These new findings add considerable complexity to the organization of the tumor microenvironment (TME) and the origin of its altered function. In this review, we summarize these data and also discuss the role of aneuploidy as a negative regulator of local immunity.

AbsCN-seq: a statistical method to estimate tumor purity, ploidy and absolute copy numbers from next-generation sequencing data

MOTIVATION

Detection and quantification of the absolute DNA copy number alterations in tumor cells is challenging because the DNA specimen is extracted from a mixture of tumor and normal stromal cells. Estimates of tumor purity and ploidy are necessary to correctly infer copy number, and ploidy may itself be a prognostic factor in cancer progression. As deep sequencing of the exome or genome has become routine for characterization of tumor samples, in this work, we aim to develop a simple and robust algorithm to infer purity, ploidy and absolute copy numbers in whole numbers for tumor cells from sequencing data.

RESULTS

A simulation study shows that estimates have reasonable accuracy, and that the algorithm is robust against the presence of segmentation errors and subclonal populations. We validated our algorithm against a panel of cell lines with experimentally determined ploidy. We also compared our algorithm with the well-established single-nucleotide polymorphism array-based method called ABSOLUTE on three sets of tumors of different types. Our method had good performance on these four benchmark datasets for both purity and ploidy estimates, and may offer a simple solution to copy number alteration quantification for cancer sequencing projects.

AVAILABILITY AND IMPLEMENTATION

The R package absCNseq is available from http://biostats.mcc.ucsd.edu/files/absCNseq_1.0.tar.gz CONTACT: kmesser@ucsd.edu Supplementary information: Supplementary data are available at Bioinformatics online.