کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
2142554 1088320 2010 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Prediction of chemotherapeutic effect on postoperative recurrence by in vitro anticancer drug sensitivity testing in non-small cell lung cancer patients
موضوعات مرتبط
علوم زیستی و بیوفناوری بیوشیمی، ژنتیک و زیست شناسی مولکولی تحقیقات سرطان
پیش نمایش صفحه اول مقاله
Prediction of chemotherapeutic effect on postoperative recurrence by in vitro anticancer drug sensitivity testing in non-small cell lung cancer patients
چکیده انگلیسی

Background and aimsThe collagen gel droplet embedded culture drug test (CD-DST), is an in vitro anticancer drug sensitivity test. The test has been used with various types of malignant tumors, but the significance of clinical application remains unknown. The aim of the present study is to evaluate the ability of this test to predict the response to chemotherapy in non-small cell lung cancer (NSCLC) patients.MethodsFrom January 2000 through March 2007, CD-DST data using the primary tumor specimens to anticancer drugs such as cisplatin (CDDP), carboplatin (CBDCA), paclitaxel (PAC), docetaxel (TXT), gemcitabine (GEM), and vinorelbine (VNR), was successfully obtained from 382 patients that underwent a radical resection for NSCLC. Eighty-one of those patients received 1st line chemotherapy using a “new generation” of anticancer drugs for postoperative recurrence. The chemotherapy regimen consisted of a CDDP (or CBDCA)-based combination (N = 41), non-CDDP-based combination (N = 1) and single agent (N = 39). The predictability of the chemotherapeutic effect by the CD-DST data was analyzed retrospectively.ResultsPartial response (PR) was obtained in 24 patients (response rate = 30%), stable disease (SD) in 33 (41%) and progressive disease (PD) in 24 (30%). Forty-two patients underwent chemotherapy with one or more CD-DST-sensitive drugs, 21 of whom showed PR (RR = 50%), whereas only 3 (8%) patients showed PR with chemotherapy with regimen including no CD-DST-sensitive drugs. Good predictability was obtained, with a 50% positive predictive value (PPV) for PR and a 92% negative predictive value (NPV) by CD-DST. The predictive accuracy for the response based on the CD-DST data was 70%. Interestingly, a subset analysis according to recurrence site showed that the predictive accuracy was highest (86%) for CD-DST-based chemotherapy for recurrence in the lymph nodes.ConclusionsThe application of the CD-DST for “new generation” anticancer drugs using surgically resected specimens of primary lesion in NSCLC patients may be clinically useful in the prediction of the response to chemotherapy for postoperative recurrence. CD-DST-oriented chemotherapy for postoperative recurrence especially in the lymph nodes may therefore be promising for the improvement of the treatment outcome.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Lung Cancer - Volume 68, Issue 3, June 2010, Pages 472–477
نویسندگان
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