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B. Li



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    MO12 - Prognostic and Predictive Biomarkers III (ID 96)

    • Event: WCLC 2013
    • Type: Mini Oral Abstract Session
    • Track: Medical Oncology
    • Presentations: 2
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      MO12.03 - Biomarker analysis of a randomized, controlled, multicenter clinical trial comparing pemetrexed/cisplatin and gmcitabine/cisplatin as first-line treatment for advanced nonsquamous non-small cell lung cancer (ID 3483)

      10:30 - 12:00  |  Author(s): B. Li

      • Abstract
      • Presentation
      • Slides

      Background
      The platinum-based doublet regimen was standard of care in advanced non-small cell lung cancer (NSCLC), but the biomarkers to predict the efficacy of first-line chemotherapy is still controversial.

      Methods
      We collected 239 tumor samples (83.0%) from a a randomized, controlled, multicenter clinical trial, which enrolled 288 treatment naïve nonsquamous NSCLC patients who were randomly assigned (1:1) to experimental group to receive cisplatin plus pemetrexed (PC) or the control group to receive gemcitabine plus cisplatin (GC) every 3 weeks for up to 6 cycles. We evaluated the EGFR mutation by Amplification Refractory Mutation System(ARMS) method and EML4-ALK fusion by real-time PCR. Meanwhile, the mRNA expression of excision repair cross complementation 1 (ERCC-1), thymidylate synthase (TS), ribonucleotide reductase M1(RRM-1), and folatereceptor 1(FR-1) was tested by real-time PCR. All of the EGFR mutation, ALK fusion and mRNA expression were analyzed for the correlation with progression free survival, the primary endpoint in the tiral.

      Results
      The EGFR mutation rate was 46.6%(110/236) in the overall population and the ALK fusion rate was 12.0%(29/233). The median PFS was similar between the EGFR mutated patients and wild-type patients(6.0m vs 5.7m,p=0.85), however, the patients of EGFR wild-type had better PFS in the PC group compared with GC group (5.7m vs 3.5m, p=0.03). There are no significant difference between groups in EGFR mutated patients(5.6m vs 6.1m, p=0.59). The patients with ALK fusion seem to have better PFS compared with fusion negative patients (7.7m vs 5.7m), but the difference is not significant(p=0.48). The mRNA expression level was available in 225 patients(94.1%) and we determined the median expression as the cutoff value. The TS expression is significantly correlated with ERCC-1(r=0.67,p<0.001) and negatively correlated with FR-1 expression(r=-0.21,p=0.002). EGFR mutation correlated with lower TS expression(p=0.034) and ALK fusion correlated with higher FR-1 expression(p=0.017). The differences of PFS between the high and low expression of ERCC-1, TS, RRM-1and FR-1 was not significant, in both PC group and GC group.

      Conclusion
      The expression level of ERCC-1, TS, RRM-1and FR-1 could not effectively predict the progression free survival of NSCLC patients receiving platinum-based doublet regimen. The pemetrexed plus cisplatin regimen should be the priority choice for EGFR wild type patients compared with gemcitabine plus cisplatin regimen.

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      MO12.05 - A new biomarker Heat shock protein 90 alpha as therapeutic monitor and predictor for lung cancer patients (ID 2628)

      10:30 - 12:00  |  Author(s): B. Li

      • Abstract
      • Presentation
      • Slides

      Background
      Heat shock proteins are a group of proteins termed stress proteins. The family of Hsp90 includes Hsp90α and Hsp90β, but only Hsp90α has been described to be extracellular, and the presence of Hsp90α on cell surface has been shown to correlate with malignancy in cancer patients, especially with the tumor metastasis. However, to the best of our knowledge, no large clinical samples have been reported to verify above standpoint. The aim of the present multicenter clinical study was to evaluate the expression level of Hsp90α in lung cancer patients and whether Hsp90α was monitor and predictor for response to therapy in lung cancer.

      Methods
      A total of 2284 lung cancer patients were enrolled in this study which was randomly assigned into two groups as static and dynamic groups. The static group (2036 samples) consisted of healthy subjects (592 samples), lung cancer (1046 samples), non-cancerous lesions of the lung patients(361 samples ) and other cancer patients(37 samples). Samples of peripheral blood from all subjects were collected in sterile EDTA-K2-coated vials. Whereas the dynamic group included lung cancer patients who received surgical treatment and underwent chemotherapy, with number of above mentioned parts 79 and 169, respectively. For surgical patients, plasma samples were collected at following time points: 3 days before surgery, 3-7 days after surgery and 3 days after clinical efficacy evaluation. Similarly, plasma samples of chemotherapy patients were also collected before treatment, after each chemotherapy cycle until the forth cycle. The concentrations of Hsp90α in plasma were measured by enzyme-linked immunosorbent assay.

      Results
      The concentration of Hsp90α in lung cancer patients was significantly higher than in other control groups (P <0.05). The cut-off value was 56.33 ng/mL for diagnosis, with high sensitivity and specificity (72.18% and 78.70%, respectively). Advanced lung cancer (stage III-Ⅳ) patients were with higher Hsp90α levels than the early patients(stage I-II) (251.38 ng/ml vs 111.50ng/ml, P<0.001), no significant relationship was found between non-small cell lung cancer(NSCLC,910 samples)patients and small cell lung cancer (SLCL, 136 samples)patients, and patients with adenocarcinoma(537 samples) and squamouscarcinoma (218 samples). Furthermore, a statistically significant association was observed between pre-operative and post-operative patients in surgical patients group (P<0.01). In chemotherapy patients group, Hsp90α level was correlated significantly with the effect of treatment [concentration of Hsp90α was higher in progressive disease(PD)group than in partial response(PR)/stable disease(SD) group].

      Conclusion
      This study firstly developed large clinical samples and elucidated the role of Hsp90α in the lung cancer patients. The cut-off value of 56.33 ng/mL was recommended to assess the expression level of Hsp90α in lung cancer patients. Hsp90α may be a potential biomarker for therapeutic monitor and prediction for lung cancer.

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