+ Site Statistics
+ Search Articles
+ PDF Full Text Service
How our service works
Request PDF Full Text
+ Follow Us
Follow on Facebook
Follow on Twitter
Follow on LinkedIn
+ Subscribe to Site Feeds
Most Shared
PDF Full Text
+ Translate
+ Recently Requested

Subgroup analysis based on prognostic and predictive gene signatures for adjuvant chemotherapy in early-stage non-small-cell lung cancer patients

Subgroup analysis based on prognostic and predictive gene signatures for adjuvant chemotherapy in early-stage non-small-cell lung cancer patients

Journal of Biopharmaceutical Statistics 28(4): 750-762

In treating patients diagnosed with early Stage I non-small-cell lung cancer (NSCLC), doctors must choose surgery alone, Adjuvant Cisplatin-Based Chemotherapy (ACT) alone or both. For patients with resected stages IB to IIIA, clinical trials have shown a survival advantage from 4-15% with the adoption of ACT. However, due to the inherent toxicity of chemotherapy, it is necessary for doctors to identify patients whose chance of success with ACT is sufficient to justify the risks. This research seeks to use gene expression profiling in the development of a statistical decision-making algorithm to identify patients whose survival rates will improve from ACT treatment. Using the data from the National Cancer Institute, the lasso method in the Cox-Proportional-Hazards regression model is used as the main method to determine a feasible number of genes that are strongly associated with the treatment-related patient survival. Considering treatment groups separately, the patients are assigned a risk category based on the estimation of survival times. These risk categories are used to develop a Random Forests classification model to identify patients who are likely to benefit from chemotherapy treatment. This model allows the prediction of a new patient's prognosis and the likelihood of survival benefit from ACT treatment based on a feasible number of genomic biomarkers. The proposed methods are evaluated using a simulation study.

Please choose payment method:

(PDF emailed within 0-6 h: $19.90)

Accession: 060289849

Download citation: RISBibTeXText

PMID: 29157115

DOI: 10.1080/10543406.2017.1397006

Related references

Prognostic and predictive biomarkers in early stage non-small cell lung cancer: tumor based approaches including gene signatures. Translational Lung Cancer Research 2(5): 372-381, 2013

Prognostic and predictive markers of benefit from adjuvant chemotherapy in early-stage non-small cell lung cancer. Journal of Thoracic Oncology 4(7): 891-910, 2009

Pooled Analysis of the Prognostic and Predictive Effects of TP53 Comutation Status Combined With KRAS or EGFR Mutation in Early-Stage Resected Non-Small-Cell Lung Cancer in Four Trials of Adjuvant Chemotherapy. Journal of Clinical Oncology 35(18): 2018-2027, 2017

A Cost-Effectiveness Analysis of Using the JBR.10-Based 15-Gene Expression Signature to Guide Adjuvant Chemotherapy in Early Stage Non-Small-Cell Lung Cancer. Clinical Lung Cancer 18(1): E41-E47, 2016

Pooled analysis of the prognostic and predictive effects of KRAS mutation status and KRAS mutation subtype in early-stage resected non-small-cell lung cancer in four trials of adjuvant chemotherapy. Journal of Clinical Oncology 31(17): 2173-2181, 2013

Prognostic and predictive gene signature for adjuvant chemotherapy in resected non-small-cell lung cancer. Journal of Clinical Oncology 28(29): 4417-4424, 2010

Predictive and prognostic value of human copper transporter 1 (hCtr1) in patients with stage III non-small-cell lung cancer receiving first-line platinum-based doublet chemotherapy. Lung Cancer 75(2): 228-234, 2012

Surgery for Stage IIIA Non-Small-cell Lung Cancer: Lack of Predictive and Prognostic Factors Identifying Any Subgroup of Patients Benefiting From It. Clinical Lung Cancer 17(2): 107-112, 2016

Cost-Utility of a Prognostic Test Guiding Adjuvant Chemotherapy Decisions in Early-Stage Non-Small Cell Lung Cancer. Oncologist 21(2): 196-204, 2016

Prognostic and predictive values of pERK1/2 and pAkt-1 expression in non-small cell lung cancer patients treated with adjuvant chemotherapy. Tumour Biology 32(2): 381-390, 2011

Prognostic and Predictive Effect of TP53 Mutations in Patients with Non-Small Cell Lung Cancer from Adjuvant Cisplatin-Based Therapy Randomized Trials: A LACE-Bio Pooled Analysis. Journal of Thoracic Oncology 11(6): 850-861, 2017

Gene expression assays as prognostic and predictive markers in early stage non-small cell lung cancer. Journal of Thoracic Disease 4(2): 212-213, 2012

Prognostic and predictive value of a malignancy-risk gene signature in early-stage non-small cell lung cancer. Journal of the National Cancer Institute 103(24): 1859-1870, 2012

Adjuvant Chemotherapy for Older Patients With Early-Stage Non-Small Cell Lung Cancer. International Journal of Radiation Oncology*biology*physics 90(5): S12-S13, 2014

Prognostic and predictive importance of p53 and RAS for adjuvant chemotherapy in non small-cell lung cancer. Journal of Clinical Oncology 25(33): 5240-5247, 2007