Virtual Library

Start Your Search

S. Devarakonda



Author of

  • +

    P1.05 - Poster Session with Presenters Present (ID 457)

    • Event: WCLC 2016
    • Type: Poster Presenters Present
    • Track: Early Stage NSCLC
    • Presentations: 1
    • +

      P1.05-047 - Early Mortality in Patients with Non-Small Cell Lung Cancer Undergoing Adjuvant Chemotherapy (ID 5523)

      14:30 - 15:45  |  Author(s): S. Devarakonda

      • Abstract

      Background:
      Although adjuvant chemotherapy improves survival in patients with completely resected non-small-cell lung cancer (NSCLC) compared to surgery alone, it is also associated with potentially disabling or lethal adverse events. Since there is limited information on the early mortality among patients undergoing adjuvant chemotherapy, we used the National Cancer Data Base (NCDB) to calculate the percentage of deaths within the first 6 months from starting chemotherapy.

      Methods:
      The NCDB was queried for patients aged 18 or older, diagnosed with stage IB to IIIA NSCLC (AJCC 7[th] edition) from 2004 to 2012, who underwent surgery with negative margins followed by multi-agent chemotherapy, starting within 120 days from the surgical resection. Patients who received radiation therapy were excluded. Age groups were divided into <50, 51-60, 61-70, 71-80 and >80 years. Early mortality from months 1 to 6 were calculated and multivariate logistic regression was performed to identify clinical variables independently associated with mortality at six months from the date of initiation of adjuvant chemotherapy.

      Results:
      A total of 19,791 patients met the eligibility criteria. The median age was 65 (range 19-89). The percentage of deaths at 1, 2, 3, 4, 5 and 6 months were 0.6%, 1.3%, 1.9%, 2.6%, 3.3% and 4.2% respectively. The percentages of death at 6 months for each age group from < 50 years to > 80 years were 2.7%, 3.2%, 4.1%, 5.3% and 7.8% respectively. Factors independently associated with increased 6-month mortality included increased age, male gender, higher Charlson-Deyo co-morbidity score (CDCS), type of surgery, length of stay (LoS) > 6 days and 30-day readmission (Table).

      Conclusion:
      There is a high risk for early mortality among patients undergoing adjuvant chemotherapy for NSCLC, particularly in patients older than 70, with high co-morbidity score and a more complicated post-operative period.

      Table. Multivariable analysis
      Variable OR (95% CI) P-value
      Age
      ≤ 50 Reference Reference
      51-60 1.08 (0.74-1.60) 0.68
      61-70 1.33 (0.91-1.95) 0.15
      71-80 1.59 (1.06-2.38) 0.03
      > 80 2.27 (1.29-3.98) 0.004
      Gender
      Male Reference Reference
      Female 0.70 (0.59-0.82) < 0.001
      CDCS
      0 Reference Reference
      1 1.13 (0.95-1.34) 0.15
      2 1.58 (1.26-1.98) < 0.001
      Surgery
      Sub-lobar Reference Reference
      Lobectomy 0.72 (0.53-0.97) 0.03
      Pneumonectomy 0.97 (0.68-1.39) 0.87
      Stage
      IB Reference Reference
      II 1.29 (1.04-1.59) 0.02
      IIIA 2.28 (1.81-2.87) < 0.001
      LoS
      ≤ 6 days Reference Reference
      > 6 days 1.24 (1.06-1.46) 0.008
      30-day readmission
      No Reference Reference
      Yes 1.54 (1.20-1.99) 0.001


  • +

    P1.07 - Poster Session with Presenters Present (ID 459)

    • Event: WCLC 2016
    • Type: Poster Presenters Present
    • Track: SCLC/Neuroendocrine Tumors
    • Presentations: 1
    • +

      P1.07-035 - Circulating Cell-Free Tumor DNA (cfDNA) Testing in Small Cell Lung Cancer (ID 6193)

      14:30 - 15:45  |  Author(s): S. Devarakonda

      • Abstract

      Background:
      The diagnosis of small cell lung cancer (SCLC) is often made using fine needle aspiration or small biopsy of tumor specimens that are typically insufficient for next generation sequencing (NGS) analysis. Guardant360 (G360), a blood-based liquid biopsy that analyzes circulating free tumor DNA, may allow the detection of potentially targetable gene abnormalities without the need for repeated tissue biopsies.

      Methods:
      Peripheral blood samples from patients with SCLC were collected in two 10 mL tubes. Cell-free DNA was extracted and analyzed by digital sequencing for the detection of single nucleotide variants (SNVs), small Insertions and Deletions (INDELs), Copy Number Alterations (CNAs), and gene fusions. The Tumor Alterations Relevant for Genomics-Driven Therapy (TARGET) curated database (http://www.broadinstitute.org/cancer/cga/target) was queried for potentially actionable alterations.

      Results:
      240 samples from 227 de-identified patients were collected between June 2014 and June 2016. 7 patients had more than one sample analyzed. During this time period, the number of genes in the panel increased from 54 (10 samples) to 68 (87 samples) and finally to 70 (143 samples). The median time from sample collection to reporting was 13 days (range 8-28 days). Alterations in at least one gene were found in 222 (92.5%) of samples and 210 (92.5%) patients. SNVs in TP53 and RB1 were seen in 72.4% (152/210) and 25.7% (35/136) of patients with detectable alterations respectively. The most common potentially actionable alterations were amplifications of FGFR1 (11.8%) and ERBB2 (7.1%). MYC amplification, which was not considered an actionable alteration by TARGET but has been associated with sensitivity to Aurora kinase inhibitors in pre-clinical studies, was observed in 15.8% of patients. Eight patients had EGFR activating mutations (exon 21 L858R mutation or exon 19 deletion), of which 2 patients also had EGFR T790M mutation, likely representing transformation from NSCLC following targeted therapy with EGFR Tyrosine kinase inhibitors. KIF5B-ALK and AFAP1-RET fusions were seen in 1 patient each.

      Conclusion:
      G360 is a rapid non-invasive NGS platform which may be particularly useful in patients with advanced stage SCLC where tissue samples may be suboptimal for NGS. Due to the limited treatment options in this patient population, the detection of potentially actionable genes through G360 may provide valuable information to guide treatment decisions.