Genomic Analyses of Metaplastic or Sarcomatoid Carcinomas From Different Organs Revealed Frequent Mutations in KMT2D

KMT2D: A key emerging epigenetic regulator in head and neck diseases and tumors

Histone modifications are critical determinants of chromatin accessibility and gene expression, both of which are intrinsically linked to human development and disease. Lysine methyltransferase 2D (KMT2D), a prominent member of the H3K4 methyltransferase family, is ubiquitously expressed across human tissues. Recent studies have found that it can regulate gene expression and signal pathway opening and closing in more than one way, playing an important role in cell proliferation and cell cycle homeostasis. Although previous studies have identified KMT2D as a potentially pivotal factor in the development and pathology of head and neck tissues, the regulatory networks associated with KMT2D in various complex head and neck diseases remain incompletely elucidated. This review seeks to consolidate recent findings on KMT2D's involvement in head and neck diseases, thereby laying the groundwork for future research into its mechanistic role in disease progression. A deeper understanding of KMT2D's functions and regulatory mechanisms is essential for advancing our comprehension of histone modifications and for the development of diagnostic tools and targeted therapeutic strategies for head and neck diseases.

Unveiling the Molecular Landscape of Pancreatic Ductal Adenocarcinoma: Insights into the Role of the COMPASS-like Complex

Pancreatic ductal adenocarcinoma (PDAC) is poised to become the second leading cause of cancer-related death by 2030, necessitating innovative therapeutic strategies. Genetic and epigenetic alterations, including those involving the COMPASS-like complex genes, have emerged as critical drivers of PDAC progression. This review explores the genetic and epigenetic landscape of PDAC, focusing on the role of the COMPASS-like complex in regulating chromatin accessibility and gene expression. Specifically, we delve into the functions of key components such as KDM6A, KMT2D, KMT2C, KMT2A, and KMT2B, highlighting their significance as potential therapeutic targets. Furthermore, we discuss the implications of these findings for developing novel treatment modalities for PDAC.

Effects of KMT2D mutation and its exon 39 mutation on the immune microenvironment and drug sensitivity in colorectal adenocarcinoma

Background

KMT2D mutation (KMT2D^MT) was found to play an important role in cancer immunity and response to immune checkpoint inhibitors (ICIs). The present study aims to investigate the association between KMT2D exon 39 mutation (K-ex39^MT) and molecular and clinical characteristics in colorectal adenocarcinoma (CRAD).

Methods

We performed profiling of KMT2D^MT and K-ex39^MT via Kaplan-Meier analysis, cBioportal, Immune-related functional analysis and correlation analysis with TCGA and MSK cohorts to explore their effects on the prognosis, immune landscape, molecular characteristics and drug sensitivity in CRAD. Panel gene sequencing of 30 in-house CRAD tissues and multiple immunofluorescences (mIF) were also used.

Results

In multi-cancer, patients with KMT2D^MT have a worse overall survival (OS), and CRAD with K-ex39^MT exhibited a greater degree of immune cellular infiltration. For CRAD, compared with KMT2D exon39 wild type (K-ex39^WT), K-ex39^MT patients had higher tumor mutational burden (TMB) and lower copy number alteration (CNA), and were accompanied by more immune cell infiltration including activated T cells, NK cells, Treg cells and exhausted T cells and enrichment of immune-related genes and pathways. In drug sensitivity prediction, K-ex39^MT patients have a lower CTX-S score and IC50 of 5-Fluorouracil and irinotecan, and higher Tumor Immune Dysfunction and Rejection (TIDE) dysfunction score.

Conclusions

CRAD patients with K-ex39^MT have more abundant immune cell infiltration and enrichment of immune-related pathways and signatures. And they may be more sensitive to some chemotherapies but less to cetuximab.

PSC subtyping based on TTF-1 and p40 expression reveals distinct molecular characteristics and therapeutic strategies

Pulmonary sarcomatoid carcinoma (PSC) is a unique form of poorly differentiated non-small cell lung cancer (NSCLC) and is notorious for its highly malignant nature and dismal prognosis. To introduce effective treatment for PSC patients, precise subtyping of PSC is demanding. In our study, TTF-1 and P40 immunohistochemistry (IHC) staining were applied to 56 PSC patients with multi-omics data. According to IHC results, we categorized these patients into three subgroups and profiled their molecular contexture using bioinformatic skills. IHC results classified these patients into three subgroups: TTF-1 positive subgroup (n=27), P40 positive subgroup (n=15), and double-negative subgroup (n=14). Spindle cell samples accounted for 35.71% (5/14) of double-negative patients, higher than others (p=0.034). The three subgroups were heterogeneous in the genomic alteration spectrum, showing significant differences in the RTK/RAS pathway (p=0.004) and the cell cycle pathway (p=0.030). The methylation profile of the double-negative subgroup was between the other two subgroups. In similarity analysis, the TTF-1 and p40 subgroups were closely related to LUAD and LUSC, respectively. The TTF-1 positive subgroup had the highest leukocyte fraction (LF) among several cancer types, and the tumor mutation burden (TMB) of the p40 positive subgroup ranked third in the TMB list, suggesting the applicability of immunotherapy for PSC. The study established a new subtyping method of PSC based on IHC results and reveals 3 subgroups with distinct molecular features, providing evidence for refined stratification in the treatment of PSC. This article is protected by copyright. All rights reserved.

A Novel Ras--Related Signature Improves Prognostic Capacity in Oesophageal Squamous Cell Carcinoma

Oesophageal squamous cell carcinoma (ESCC) remains a clinically challenging disease with high morbidity rates and poor prognosis. ESCC is also the most common pathological type of oesophageal cancer (EC) in China. Ras-related genes are one of the most frequently mutated gene families in cancer and regulate tumour development and progression. Given this, we investigated the Ras-related gene expression profiles and their values in ESCC prognosis, using data from the Genotype-Tissue Expression (GTEx) and The Cancer Genome Atlas (TCGA) databases. We found that we could identify three distinct oesophageal cancer clusters based on their unique expression profile for 11 differentially expressed Ras-related genes with each of these demonstrating some prognostic value when, evaluated using univariate Cox analysis. We then used multivariate Cox analysis to identify relevant independent prognostic indicators and used these to build a new prognostic prediction model for oesophageal cancer patients using these three Ras-related genes. These evaluations produced an area under the curve (AUC) of 0.932. We found that our Ras-related signatures could also act as independent factors in ESCC prognosis and that patients with low Ras scores showed a higher overall expression levels of various immune checkpoint genes, including TNFSF4, TNFRSF8, TNFRSF9, NRP1, CD28, CD70, CD200, CD276, METTL16, METTL14, ZC3H13, YTHDF3, VIRMA, FTO, and RBM15, as well as a higher CSMD3, FLG, DNAH5, MUC4, PLCO, EYS, and ZNF804B mutation rates, and better sensitivity to drugs such as erlotinib, paclitaxel, and gefitinib. In conclusion, we were able to use the unique expression profiles of several Ras-related genes to produce a novel disease signature which might facilitate improved prognosis in ESCC, providing new insight into both diagnosis and treatment in these cancers.

Integrative Genomic Analyses of 1,145 Patient Samples Reveal New Biomarkers in Esophageal Squamous Cell Carcinoma

Due to the lack of effective diagnostic markers and therapeutic targets, esophageal squamous cell carcinoma (ESCC) shows a poor 5 years survival rate of less than 30%. To explore the potential therapeutic targets of ESCC, we integrated and reanalyzed the mutation data of WGS (whole genome sequencing) or WES (whole exome sequencing) from a total of 1,145 samples in 7 large ESCC cohorts, including 270 ESCC gene expression data. Two new mutation signatures and 20 driver genes were identified in our study. Among them, AP3S1, MUC16, and RPS15 were reported for the first time. We also discovered that the KMT2D was associated with the multiple clinical characteristics of ESCC, and KMT2D knockdown cells showed enhanced cell migration and cell invasion. Furthermore, a few neoantigens were shared between ESCC patients. For ESCC, compared to TMB, neoantigen might be treated as a better immunotherapy biomarker. Our research expands the understanding of ESCC mutations and helps the identification of ESCC biomarkers, especially for immunotherapy biomarkers.