» Articles » PMID: 36175592

Association Between Cancer Genes and Germ Layer Specificity

Overview
Journal Med Oncol
Publisher Springer
Specialty Oncology
Date 2022 Sep 29
PMID 36175592
Authors
Affiliations
Soon will be listed here.
Abstract

Cancer signaling pathways defining cell fates are related to differentiation. During the developmental process, three germ layers (endoderm, mesoderm, and ectoderm) are formed during embryonic development that differentiate into organs via the epigenetic regulation of specific genes. To examine the relationship, the specificities of cancer gene mutations that depend on the germ layers are studied. The major organs affected by cancer were determined based on statistics from the National Cancer Information Center of Korea, and were grouped according to their germ layer origins. Then, the gene mutation frequencies were evaluated to identify any bias based on the differentiation group using the Catalogue of Somatic Mutations in Cancer (COSMIC) database. The chi-square test showed that the p-value of 152 of 166 genes was less than 0.05, and 151 genes showed p-values of less than 0.05 even after adjusting for the false discovery rate (FDR). The germ layer-specific genes were evaluated using visualization based on basic statistics, and the results matched the top ranking genes depending on organs in the COSMIC database.The current study confirmed the germ layer specificity of major cancer genes. The germ layer specificity of mutated driver genes is possibly important in cancer treatments because each mutated gene may react differently depending on the germ layer of origin. By understanding the mechanism of gene mutation in the development and progression of cancer in the context of cell-fate pathways, a more effective therapeutic strategy for cancer can be established.

References
1.
Vogelstein B, Papadopoulos N, Velculescu V, Zhou S, Diaz Jr L, Kinzler K . Cancer genome landscapes. Science. 2013; 339(6127):1546-58. PMC: 3749880. DOI: 10.1126/science.1235122. View

2.
Stratton M, Campbell P, Futreal P . The cancer genome. Nature. 2009; 458(7239):719-24. PMC: 2821689. DOI: 10.1038/nature07943. View

3.
Futreal P, Coin L, Marshall M, Down T, Hubbard T, Wooster R . A census of human cancer genes. Nat Rev Cancer. 2004; 4(3):177-83. PMC: 2665285. DOI: 10.1038/nrc1299. View

4.
Kandoth C, McLellan M, Vandin F, Ye K, Niu B, Lu C . Mutational landscape and significance across 12 major cancer types. Nature. 2013; 502(7471):333-339. PMC: 3927368. DOI: 10.1038/nature12634. View

5.
Hoadley K, Yau C, Hinoue T, Wolf D, Lazar A, Drill E . Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer. Cell. 2018; 173(2):291-304.e6. PMC: 5957518. DOI: 10.1016/j.cell.2018.03.022. View