Unknown

Dataset Information

0

Genomic landscape and expression profile of consensus molecular subtype four of colorectal cancer.


ABSTRACT:

Background

Compared to other subtypes, the CMS4 subtype is associated with lacking of effective treatments and poorer survival rates.

Methods

A total of 24 patients with CRC were included in this study. DNA and RNA sequencing were performed to acquire somatic mutations and gene expression, respectively. MATH was used to quantify intratumoral heterogeneity. PPI and survival analyses were performed to identify hub DEGs. Reactome and KEGG analyses were performed to analyze the pathways of mutated or DEGs. Single-sample gene set enrichment analysis and Xcell were used to categorize the infiltration of immune cells.

Results

The CMS4 patients had a poorer PFS than CMS2/3. CTNNB1 and CCNE1 were common mutated genes in the CMS4 subtype, which were enriched in Wnt and cell cycle signaling pathways, respectively. The MATH score of CMS4 subtype was lower. SLC17A6 was a hub DEG. M2 macrophages were more infiltrated in the tumor microenvironment of CMS4 subtype. The CMS4 subtype tended to have an immunosuppressive microenvironment.

Conclusion

This study suggested new perspectives for exploring therapeutic strategies for the CMS4 subtype CRC.

SUBMITTER: Lu Y 

PROVIDER: S-EPMC10315486 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature

altmetric image

Publications

Genomic landscape and expression profile of consensus molecular subtype four of colorectal cancer.

Lu Yujie Y   Gu Dingyi D   Zhao Chenyi C   Sun Ying Y   Li Wenjing W   He Lulu L   Wang Xiaoyan X   Kou Zhongyang Z   Su Jiang J   Guo Feng F  

Frontiers in immunology 20230619


<h4>Background</h4>Compared to other subtypes, the CMS4 subtype is associated with lacking of effective treatments and poorer survival rates.<h4>Methods</h4>A total of 24 patients with CRC were included in this study. DNA and RNA sequencing were performed to acquire somatic mutations and gene expression, respectively. MATH was used to quantify intratumoral heterogeneity. PPI and survival analyses were performed to identify hub DEGs. Reactome and KEGG analyses were performed to analyze the pathwa  ...[more]

Similar Datasets

2023-07-13 | GSE237249 | GEO
| S-EPMC8616344 | biostudies-literature
| S-EPMC6221003 | biostudies-literature
2023-07-13 | GSE237247 | GEO
| S-EPMC8507736 | biostudies-literature
| PRJNA994462 | ENA
2023-07-13 | GSE237248 | GEO
2018-07-03 | GSE116528 | GEO
2018-07-03 | GSE116529 | GEO
| S-EPMC5739639 | biostudies-literature