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A novel immune classification reveals distinct immune escape mechanism and genomic alterations: implications for immunotherapy in hepatocellular carcinoma.

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Abstract
The tumor immunological microenvironment (TIME) has a prominent impact on prognosis and immunotherapy. However, the heterogeneous TIME and the mechanisms by which TIME affects immunotherapy have not been elucidated in hepatocellular carcinoma (HCC). A total of 2195 eligible HCC patients from TCGA and GEO database were collected. We comprehensively explored the different heterogeneous TIME phenotypes and its clinical significance. The potential immune escape mechanisms and what genomic alterations may drive the formation of different phenotypes were further investigated. We identified three phenotypes in HCC: TIME-1, the “immune-deficiency” phenotype, with immune cell depletion and proliferation; TIME-2, the “immune-suppressed” phenotype, with enrichment of immunosuppressive cells; TIME-3, the “immune-activated phenotype”, with abundant leukocytes infiltration and immune activation. The prognosis and sensitivity to both sorafenib and immunotherapy differed among the three phenotypes. We also underlined the potential immune escape mechanisms: lack of leukocytes and defective tumor antigen presentation capacity in TIME-1, increased immunosuppressive cells in TIME-2, and rich in immunoinhibitory molecules in TIME-3. The different phenotypes also demonstrated specific genomic events: TIME-1 characterized by TP53, CDKN2A, CTNNB1, AXIN1 and FOXD4 alterations; TIME-2 characterized by significant alteration patterns in the PI3K pathway; TIME-3 characterized by ARID1A mutation. Besides, the TIME index (TI) was proposed to quantify TIME infiltration pattern, and it was a superior prognostic and immunotherapy predictor. A pipeline was developed to classify single patient into one of these three subtypes and calculated the TI. We identified three TIME phenotypes with different clinical outcomes, immune escape mechanisms and genomic alterations in HCC, which could present strategies for improving the efficacy of immunotherapy. TI as a novel prognostic and immunotherapeutic signature that could guide personalized immunotherapy and clinical management of HCC.

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Journal ArticleDOI

CDKN2A is a prognostic biomarker and correlated with immune infiltrates in hepatocellular carcinoma

TL;DR: In this paper, the authors studied the association with CDKN2A expression and immune invasion with the risk of developing hepatocellular carcinoma (HCC) and found that CDKN 2A expression was positively correlated with infiltrating levels into purity, B cell, CD+8 T cells, CD +4 T cell, macrophage, neutrophil and dendritic cells in HCC.
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Construction of a Lactate-Related Prognostic Signature for Predicting Prognosis, Tumor Microenvironment, and Immune Response in Kidney Renal Clear Cell Carcinoma

TL;DR: A lactate-related prognostic signature (LRPS) was developed for KIRC that was closely related to the immune landscape and therapeutic response and may guide clinicians to make more precise and personalized treatment decisions for K IRC patients.
Journal ArticleDOI

Tumor suppressor gene mutations correlate with prognosis and immunotherapy benefit in hepatocellular carcinoma.

TL;DR: The findings suggested the TSG subtypes could serve as a promising biomarker for guiding surveillance protocol and immunotherapeutic decisions for patients with HCC.
Journal ArticleDOI

Pt(II)-NHC Complex Induces ROS-ERS-Related DAMP Balance to Harness Immunogenic Cell Death in Hepatocellular Carcinoma.

TL;DR: 2c is a type II ICD inducer, which can successfully induce endoplasmic reticulum stress (ERS) accompanied by reactive oxygen species (ROS) generation and finally lead to the release of damage-associated molecular patterns (DAMPs) in HCC cells.
References
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Journal ArticleDOI

Robust enumeration of cell subsets from tissue expression profiles

TL;DR: CIBERSORT outperformed other methods with respect to noise, unknown mixture content and closely related cell types when applied to enumeration of hematopoietic subsets in RNA mixtures from fresh, frozen and fixed tissues, including solid tumors.
Journal ArticleDOI

GSVA: gene set variation analysis for microarray and RNA-seq data.

TL;DR: This work introduces Gene Set Variation Analysis (GSVA), a GSE method that estimates variation of pathway activity over a sample population in an unsupervised manner and constitutes a starting point to build pathway-centric models of biology.
Journal ArticleDOI

Cancer Immunoediting: Integrating Immunity’s Roles in Cancer Suppression and Promotion

TL;DR: A unifying conceptual framework called “cancer immunoediting,” which integrates the immune system’s dual host-protective and tumor-promoting roles is discussed.
Journal ArticleDOI

Mutational heterogeneity in cancer and the search for new cancer-associated genes

Michael S. Lawrence, +96 more
- 11 Jul 2013 - 
TL;DR: A fundamental problem with cancer genome studies is described: as the sample size increases, the list of putatively significant genes produced by current analytical methods burgeons into the hundreds and the list includes many implausible genes, suggesting extensive false-positive findings that overshadow true driver events.
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