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Published on: April 19, 2013
Mutations in genes connected with the TCF7L2 transcription factor are associated with a poor prognosis in non-small
Shawn J Rice1, Xin Liu1, Victoria Hyland1
1Penn State Cancer Institute, Hershey, PA 17033, USA.
Objectives:
Precision medicine with molecular profiling has revolutionized the management of lung cancer leading to improved outcomes. Patients with actionable mutations receive targeted therapy. As next-generation sequencing (NGS) becomes standard in lung cancer clinics, we sought to use molecular information to identify novel pathways to target in order to improve survival for non-small cell lung cancer (NSCLC) patients.
Materials And Methods:
This retrospective analysis included 183 lung cancer patients who received commercial NGS sequencing as part of their clinical care, as well as the lung adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC) dataset from the Cancer Genome Atlas (TCGA). We grouped mutations using a transcription factor enrichment analysis (TFEA), and the resulting TFEA groups were used to sort patients for survival analyses.
Results:
Mutations connected to transcription factor 7 like 2/ Transcription Factor 4 (TCF7L2/TCF4) were associated with poor survival in NSCLC patients. Furthermore, Mutations in CCND1, IDH1, SMARC4, and TP53 are the primary contributors to a poor prognosis in these patients. This four gene panel was also found to be associated with a poor prognosis in the LUAD data of TCGA dataset.
Conclusions:
We determined that the TCF7L2 pathway is associated with a poor prognosis in patients with lung adenocarcinoma. Therefore, targeting the TCF7L2 pathway may improve outcomes for this group of patients.
Insights
Targeting the TCF7L2 pathway may improve outcomes for non-small cell lung cancer (NSCLC) patients. Mutations in TCF7L2, CCND1, IDH1, SMARC4, and TP53 are linked to poorer survival in lung adenocarcinoma.
Area of Science:
- Oncology
- Genomics
- Molecular Biology
Background:
- Precision medicine and molecular profiling have transformed lung cancer management.
- Next-generation sequencing (NGS) is increasingly standard in clinical practice for lung cancer.
- Identifying novel therapeutic targets is crucial for improving survival in non-small cell lung cancer (NSCLC).
Purpose of the Study:
- To identify novel molecular pathways for targeted therapy in NSCLC.
- To investigate the prognostic significance of specific gene mutations in lung cancer.
- To explore the utility of transcription factor enrichment analysis (TFEA) in lung cancer research.
Main Methods:
- Retrospective analysis of 183 NSCLC patients undergoing clinical NGS.
- Utilized the Cancer Genome Atlas (TCGA) dataset for lung adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC).
- Employed TFEA to group mutations and perform survival analyses.
Main Results:
- Mutations associated with transcription factor 7 like 2/ Transcription Factor 4 (TCF7L2/TCF4) were linked to poor NSCLC patient survival.
- Mutations in CCND1, IDH1, SMARC4, and TP53 were identified as major contributors to poor prognosis.
- A four-gene panel (CCND1, IDH1, SMARC4, TP53) showed poor prognosis association in TCGA LUAD data.
Conclusions:
- The TCF7L2 pathway is associated with a poor prognosis in lung adenocarcinoma patients.
- Targeting the TCF7L2 pathway presents a potential therapeutic strategy to improve outcomes for lung adenocarcinoma patients.
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