Tumor Mutation Load: A Novel Independent Prognostic Factor in Stage IIIA-N2 Non-Small-Cell Lung Cancer. (30th April 2019)
- Record Type:
- Journal Article
- Title:
- Tumor Mutation Load: A Novel Independent Prognostic Factor in Stage IIIA-N2 Non-Small-Cell Lung Cancer. (30th April 2019)
- Main Title:
- Tumor Mutation Load: A Novel Independent Prognostic Factor in Stage IIIA-N2 Non-Small-Cell Lung Cancer
- Authors:
- Kang, Jingjing
Luo, Yang
Wang, Di
Men, Yu
Wang, Jianyang
Che, Yi-Qun
Hui, Zhouguang - Other Names:
- Karamouzis Michalis V. Academic Editor.
- Abstract:
- Abstract : This study is aimed at investigating the prognostic biomarkers of patients with stage IIIA-N2 non-small-cell lung cancer (NSCLC) and at analyzing the correlation between tumor mutation load (the frequency and number of tumor mutations) and prognosis. Clinical data of 35 patients with stage IIIA-N2 NSCLC were collected from Cancer Hospital, Chinese Academy of Medical Sciences. Whole blood samples from the peripheral vein were taken at different treatment periods, and the mutations of cell-free DNA (cfDNA) were detected. Multivariate analysis showed that smoking (P = 0.0308 ), mutationnumber > 2 (P = 0.0283 ), and max mutationfrequency > 0.025 (P = 0.0450 ) were associated with improved progression-free survival (PFS). The overall survival (OS) of well-differentiated NSCLC patients was better than that of poorly differentiated ones (P = 0.0006 ). The rates of PFS, disease-free survival, local-regional recurrence-free survival, and local-regional progression-free survival were significantly higher in the group with a mutationnumber > 2 than in the group with a mutationnumber ≤ 2 . The mutation number of the preoperation group was significantly higher than that of the postradiochemotherapy group (5 vs. 2.5, P = 0.023 ), and the max mutation frequency change was approximately significant in the postradiochemotherapy group compared with the postoperation group (2.6% vs. 1.85%, P = 0.067 ). The max mutation frequency is positively correlated with vascular invasionAbstract : This study is aimed at investigating the prognostic biomarkers of patients with stage IIIA-N2 non-small-cell lung cancer (NSCLC) and at analyzing the correlation between tumor mutation load (the frequency and number of tumor mutations) and prognosis. Clinical data of 35 patients with stage IIIA-N2 NSCLC were collected from Cancer Hospital, Chinese Academy of Medical Sciences. Whole blood samples from the peripheral vein were taken at different treatment periods, and the mutations of cell-free DNA (cfDNA) were detected. Multivariate analysis showed that smoking (P = 0.0308 ), mutationnumber > 2 (P = 0.0283 ), and max mutationfrequency > 0.025 (P = 0.0450 ) were associated with improved progression-free survival (PFS). The overall survival (OS) of well-differentiated NSCLC patients was better than that of poorly differentiated ones (P = 0.0006 ). The rates of PFS, disease-free survival, local-regional recurrence-free survival, and local-regional progression-free survival were significantly higher in the group with a mutationnumber > 2 than in the group with a mutationnumber ≤ 2 . The mutation number of the preoperation group was significantly higher than that of the postradiochemotherapy group (5 vs. 2.5, P = 0.023 ), and the max mutation frequency change was approximately significant in the postradiochemotherapy group compared with the postoperation group (2.6% vs. 1.85%, P = 0.067 ). The max mutation frequency is positively correlated with vascular invasion (21.13% vs. 3.62%, P = 0.04 ). Furthermore, Met, ALK, APC, PTEN, ERBB4, NF1, and other genes, involving multiple tumor suppressor genes and lung cancer-driven genes, did not mutate in recurrence-free patients when compared with recurrent patients. In conclusion, differentiation, smoking, mutationfrequency > 0.025, and mutationnumber > 2 are prognostic factors. The frequency and number of gene mutations in cfDNA are expected to be prognostic predictors of NSCLC. … (more)
- Is Part Of:
- Disease markers. Volume 2019(2019)
- Journal:
- Disease markers
- Issue:
- Volume 2019(2019)
- Issue Display:
- Volume 2019, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 2019
- Issue:
- 2019
- Issue Sort Value:
- 2019-2019-2019-0000
- Page Start:
- Page End:
- Publication Date:
- 2019-04-30
- Subjects:
- Diagnosis -- Periodicals
Biochemical markers -- Periodicals
Pathology -- Periodicals
616 - Journal URLs:
- https://www.hindawi.com/journals/dm/ ↗
- DOI:
- 10.1155/2019/3837687 ↗
- Languages:
- English
- ISSNs:
- 0278-0240
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 10822.xml