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N. Abrahams



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    ORAL 30 - Community Practice (ID 141)

    • Event: WCLC 2015
    • Type: Oral Session
    • Track: Community Practice
    • Presentations: 1
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      ORAL30.06 - Genomic Analysis of Lung Cancer Tumors from Hispanic Patients Living in the US (ID 420)

      16:45 - 18:15  |  Author(s): N. Abrahams

      • Abstract
      • Presentation
      • Slides

      Background:
      The frequency of epidermal growth factor receptor mutations (EGFR-mut) in tumors from Hispanic (HIS) patients (pts) in Latin-America (LA) might be higher than the rate registered in the world literature from data coming mainly from Non-Hispanic White (NHW) pts with NSCLC (CLICaP: J Clin Oncol. 2012;30:(suppl; abstr e18114)). We wanted to verify this and investigate the gene expression profile (GEP) in tumors from HIS pts with NSCLC living in the US.

      Methods:
      To identify EGFR-mut and other molecular markers (MM) (ALK and ROS-1 translocations (trans), KRAS, c-Met and BRAF) genomic analysis by next generation sequencing (NGS) and FISH was done in tumors of pts with NSCLC at Memorial Cancer Institute in Florida. All MM were not available for all pts. Pts were divided into groups based on ethnic background. Chi-square and Fisher’s Exact tests were used to assess associations between genetic profile and ethnicity. All summary statistics on time-to-event variables were calculated according to the Kaplan-Meier method and were compared by means of the log-rank test. Adjusted hazard ratios (AHR) and 95% confidence intervals (95% CI) were reported based on the results of a multivariate Cox regression model for overall survival (OS) with adjustment for gender, age, and race. A p value 0.05 was significant. SPSS® software 21 was used for analyses.

      Results:
      MM were ordered in 282 pts and tumor samples were sufficient in 254 (90%). Of these pts: 35% were HIS, 59% were women, 92% had adenocarcinoma and 38% were non-smokers. EGFR-mut were seen in 21% of the tumors [93 % in exons 19 and 21]. EGFR resistant mutations [exon 20] in 1%. ALK and ROS-1 trans were 3% and 10%. c-MET in 25%, KRAS 24%, and BRAF 4%.

      MM % in HIS % in NHW # samples
      EGFR mut 23% 20% 231
      ALK trans 4% 3% 209
      ROS-1 trans 8% 11% 63
      KRAS mut 26% 22% 149
      c-MET mut 25% 25% 51
      BRAF mut 10% 0% 49
      There was no significant association between HIS vs. NHW with any MM: EGFR-mut [χ[2 ]=0.22, p=0.64] or ALK and ROS-1 trans [Fisher’s Exact Tests, p=0.49 and 0.55] or other MM: KRAS, χ[2 ]=0.25, p=0.62, c-MET, χ[2 ]=0.00, p=1.00, or BRAF, Fisher’s Exact Tests, p=0.17. No differences in survival between HIS and NHW regardless of MM. Log Rank (Mantel-Cox) 0.73, p=0.39.

      Conclusion:
      GEP of NSCLC tumors in HIS pts in the US are similar to NHW contrary to what is found in LA. There might be selection bias in the data from LA due to the fact that very few of the eligible pts in LA are being tested yet, all of our NSCLC pts get GEP in our practice.

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