MicroRNA profiling identifies chemoresistance in small cell lung cancer
At least three tumor microRNAs appear to predict when first-line chemotherapy will prove ineffective in some patients with small cell lung cancer, according to data presented at the AACR-IASLC Joint Conference on Molecular Origins of Lung Cancer, held Jan. 11-14, 2010. "For patients with small cell lung cancer, there are really only about two chemotherapy options. We need to be more precise with our treatments and identify earlier who is going to be resistant in order to design better clinical trials that will identify effective therapies for these at-risk patients," said Glen J. Weiss, M.D., director of thoracic oncology at the Virginia G. Piper Cancer Center at Scottsdale Healthcare and co-head of the Lung Cancer Unit at the Translational Genomics Research Institute (TGen).
Weiss said of the approximately 32,000 new cases of small cell lung cancer diagnosed every year, between 15 and 30 percent will be chemoresistant to first-line therapy.
For the current study, Weiss and colleagues evaluated 34 patients with small cell lung cancer of varying stages. Patients were seen at the Virginia G. Piper Cancer Center at Scottsdale Healthcare. Median age of the patient group was 69.1 years; half of them were men. All 34 patients received systemic chemotherapy, and there were two complete responses and 13 partial responses. Two patients had stable disease and four had progressive disease.
Three microRNAs were identified as being closely linked with chemoresistance: miR-92a-2*, miR-147 and miR-574-5p. Although 47 percent of the patients presented with hypertension and 32 percent presented with emphysema or chronic obstructive pulmonary disease, neither of these co-morbidities were linked with chemoresistance.
Source: American Association for Cancer Research
Articles on the same topic
- Gene testing identifies lung cancer patients who benefit from ALK-inhibitor drugTue, 12 Jan 2010, 22:24:30 UTC
- Drug with unique disruption of tumor blood flow shows promiseTue, 12 Jan 2010, 22:24:29 UTC
- Novel growth pattern classification predictive of outcome in non-small cell lung cancerTue, 12 Jan 2010, 22:24:28 UTC
- EGFR gene signature predicts non-small cell lung cancer prognosisTue, 12 Jan 2010, 22:24:27 UTC
- Second round of gefitinib may be promising lung cancer therapyTue, 12 Jan 2010, 22:24:27 UTC
- Green tea could modify the effect of cigarette smoking on lung cancer riskTue, 12 Jan 2010, 21:38:11 UTC
- Erlotinib dosing in lung cancer depends on smoking statusTue, 12 Jan 2010, 21:38:10 UTC
Other sources
- EGFR gene signature predicts non-small cell lung cancer prognosisfrom PhysorgWed, 13 Jan 2010, 9:56:20 UTC
- Green tea could modify the effect of cigarette smoking on lung cancer riskfrom Science DailyWed, 13 Jan 2010, 6:49:29 UTC
- Gene testing identifies lung cancer patients who benefit from ALK-inhibitor drugfrom PhysorgWed, 13 Jan 2010, 6:35:21 UTC
- MicroRNA profiling identifies chemoresistance in small cell lung cancerfrom PhysorgWed, 13 Jan 2010, 0:56:11 UTC
- Green tea could modify the effect of cigarette smoking on lung cancer riskfrom PhysorgTue, 12 Jan 2010, 22:21:13 UTC
- Diet May Protect Against Gene Changes in Smokersfrom PhysorgTue, 12 Jan 2010, 21:35:25 UTC