Dataset Information

Discovery of co-occurring driver pathways in cancer.

ABSTRACT:

Background

It has been widely realized that pathways rather than individual genes govern the course of carcinogenesis. Therefore, discovering driver pathways is becoming an important step to understand the molecular mechanisms underlying cancer and design efficient treatments for cancer patients. Previous studies have focused mainly on observation of the alterations in cancer genomes at the individual gene or single pathway level. However, a great deal of evidence has indicated that multiple pathways often function cooperatively in carcinogenesis and other key biological processes.

Results

In this study, an exact mathematical programming method was proposed to de novo identify co-occurring mutated driver pathways (CoMDP) in carcinogenesis without any prior information beyond mutation profiles. Two possible properties of mutations that occurred in cooperative pathways were exploited to achieve this: (1) each individual pathway has high coverage and high exclusivity; and (2) the mutations between the pair of pathways showed statistically significant co-occurrence. The efficiency of CoMDP was validated first by testing on simulated data and comparing it with a previous method. Then CoMDP was applied to several real biological data including glioblastoma, lung adenocarcinoma, and ovarian carcinoma datasets. The discovered co-occurring driver pathways were here found to be involved in several key biological processes, such as cell survival and protein synthesis. Moreover, CoMDP was modified to (1) identify an extra pathway co-occurring with a known pathway and (2) detect multiple significant co-occurring driver pathways for carcinogenesis.

Conclusions

The present method can be used to identify gene sets with more biological relevance than the ones currently used for the discovery of single driver pathways.

SUBMITTER: Zhang J

PROVIDER: S-EPMC4133618 | biostudies-literature | 2014 Aug

REPOSITORIES: biostudies-literature

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Publications

Discovery of co-occurring driver pathways in cancer.

Zhang Junhua J Wu Ling-Yun LY Zhang Xiang-Sun XS Zhang Shihua S

BMC bioinformatics 20140809

<h4>Background</h4>It has been widely realized that pathways rather than individual genes govern the course of carcinogenesis. Therefore, discovering driver pathways is becoming an important step to understand the molecular mechanisms underlying cancer and design efficient treatments for cancer patients. Previous studies have focused mainly on observation of the alterations in cancer genomes at the individual gene or single pathway level. However, a great deal of evidence has indicated that mult ...[more]

PMID: 25106096

Similar Datasets

Project description:BackgroundMolecular testing for alterations in oncogenic driver genes and targeted therapies have become standard procedures for non-small cell lung cancer (NSCLC) patients. However, little evidence has shed light on the pattern of co-existence of driver genes in NSCLC, and whether they may have different tumor features affecting immunotherapy is still unclarified.MethodsGenomic alterations in 14 lung cancer-related genes were conducted in 3440 Chinese NSCLC patients using next-generation sequencing. Meanwhile, tumor mutational burden and immunotherapy dataset from the Memorial sloan kettering cancer center (MSKCC) and lung adenocarcinoma dataset from The Cancer Genome Atlas (TCGA) were utilized for analyzing the impact of the co-occurring alterations on patients' survival following immunotherapy.ResultsIn this cohort, 90.17% of patients had at least one somatic alteration in the 14 genes, including 51% of co-occurring alterations. TP53 and epidermal growth factor receptor (EGFR) were the most prevalent genes (54.74% and 53.55%, respectively), followed by KRAS, ERBB2, ALK, PIK3CA, ROS1, RET, MET, BRAF, KIT, FGFR1, PDGFRA, and NRAS. The prevalence of TP53, EGFR, and ERBB2 in our cohort were significantly higher than that from the TCGA database, whereas KRAS, BRAF, and PDGFRA were significantly lower than the latter. Furthermore, the patients who harbored multiple alterations (8.86%, 31/350) in eight driver genes survived longer and have a higher tumor mutation burden compared to the patients with a single alteration. Similar result was found between the patients with co-occurring alteration of EGFR and other driver genes and the patients with single EGFR alteration. Meanwhile, we found a distinct immune cell infiltration feature between patients with single and multiple driver gene alterations, as well as between patients with only EGFR alteration and co-occurring groups.ConclusionThis study identified a unique driver gene feature and found patients harboring co-occurring alterations of EGFR and other driver genes may benefit from immunotherapy, which may provide more therapeutic selections for EGFR-mutated NSCLC patients and merit additional investigation.

Dataset Information

Discovery of co-occurring driver pathways in cancer.

Background

Results

Conclusions

Publications

Discovery of co-occurring driver pathways in cancer.

Similar Datasets

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