A literature review of molecular markers predictive of clinical response to cytotoxic chemotherapy in patients with lung cancer

Ikuo Sekine, John D. Minna, Kazuto Nishio, Tomohide Tamura, Nagahiro Saijo

Research output: Contribution to journalReview article

18 Scopus citations


BACKGROUND: To find candidate genes for a predictive chemosensitivity test in patients with lung cancer by using a literature review. METHODS: Using MEDLINE searches, "in vitro chemosensitivity associated genes" and articles on association of the gene alteration with clinical chemosensitivity in lung cancer patients were selected. We calculated odds ratios (ORs) and their 95% confidence intervals (95% CIs) of response rates for patients who had tumors with or without gene alteration. Combined ORs and 95% CIs were estimated using the DerSimonian-Laird method. RESULTS: Of the 80 in vitro chemosensitivity- associated genes identified, 13 genes were evaluated for association with clinical chemosensitivity in 27 studies. The median (range) number of patients in each study was 50 (range, 28-108). The response rates of lung cancer with high and low P-glycoprotein expression were 0% and 73% to 85%, respectively (p < 0.001). Glutathione S-transferase pi expression (OR 0.22, 95% CI 0.06-0.79), excision repair cross-complementing 1 alterations (combined OR 0.53, 95% CI 0.28-1.01; p = 0.055), and tumor suppressor p53 mutation (combined OR 0.25, 95% CI 0.12-0.52) were associated with clinical chemosensitivity. CONCLUSION: In total, 80 in vitro chemosensitivity-associated genes were identified in the literature, and high and low P-glycoprotein, glutathione S-transferase pi expression, excision repair cross-complementing 1 alterations, and tumor suppressor p53 mutation were candidates for future clinical trials of chemosensitivity tests in lung cancer patients.

Original languageEnglish (US)
Pages (from-to)31-37
Number of pages7
JournalJournal of Thoracic Oncology
Issue number1
StatePublished - Jan 1 2006



  • Chemotherapy
  • Drug response
  • Lung cancer
  • Molecular markers
  • Prediction

ASJC Scopus subject areas

  • Oncology
  • Pulmonary and Respiratory Medicine

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