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Zhenfa Zhang

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    MA21 - Molecular Subtyping, CBL3, and Non Coding RNA (ID 924)

    • Event: WCLC 2018
    • Type: Mini Oral Abstract Session
    • Track: Biology
    • Presentations: 1
    • Moderators:
    • Coordinates: 9/25/2018, 15:15 - 16:45, Room 205 BD
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      MA21.05 - Comprehensive Genomic Characterization and Prognostic Nomogram Developed by 295-Gene Panel Targeted Sequencing (ID 13664)

      15:45 - 15:50  |  Author(s): Zhenfa Zhang

      • Abstract
      • Presentation
      • Slides


      The genomic landscape of lung cancer has been thoroughly studied in the western population. But comprehensive genetic profiling reports have been limited for the Chinese patients. Here we conducted deep targeted sequencing on a large cohort of Chinese treatment-naïve lung cancer patients and identified novel molecular patterns. We developed nomogram models for prognosis prediction by integrating genetic and clinical characteristics and aim to explore more precise models for risk stratification beyond TNM staging.

      a9ded1e5ce5d75814730bb4caaf49419 Method

      This was a retrospective study, enrolling diagnosed lung cancer patients at Tianjin Medical University Cancer Institute & Hospital from 2009 to 2012. We developed genomic landscape by targeted sequencing using a panel consisting of exons and critical introns of 295 cancer-related genes. Nomogram models were established to provide risk stratification in lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) patients

      4c3880bb027f159e801041b1021e88e8 Result

      513 tumor tissue samples were collected at very beginning of treatment (stage I, n=193; stage II, n=140; stage IIIA, n=140; stage IIIB, n=5; stage IV, n=28; unknown, n=7). The most frequently mutated oncogenic genes in LUAD were EGFR (55%) and KRAS (11%), compared to 14% and 33% in TCGA. Heterogeneity existed in terms of mutual exclusive and co-occurrent mutated gene pairs between LUAD and LUSC. In LUAD, pairs with most significant exclusivity was EGFR/KRAS and co-occurrent was NOTCH3/GRIN2A, whereas the most significant concurrent gene pair in LUSC was ZNF703/FGFR1. To predict survival, our nomograms identified that, in stage I-IIIA LUAD and LUSC, mutated TET2 contributed to more favorable DFS while mutations in EPHA3 and ETV5 indicated better OS. Stage and mutated KRAS were associated with inferior DFS and OS (DFS, n=222, c-index=0.714; OS, n=308, c-index=0.706). In the T1+2&N0&M0 subgroup, which is considered clinically low risk for relapse, older patients who carry BRCA2 mutations were found to strongly correlate with poor DFS (n=121, c-index=0.709), while age and mutated KRAS were distinct indicators of inferior OS (n=163, c-index=0.725). The calibration for survival probability displayed well agreement between nomogram prediction and actual outcomes. Stratification of different risk groups based on nomogram prediction displayed significant differences among Kaplan-Meier curves for survival outcomes (p<0.0001).

      8eea62084ca7e541d918e823422bd82e Conclusion

      This is the so far largest cohort of Chinese lung cancer patients with comprehensive genomic profiling reported. We revealed unique molecular profiles than TCGA and distinct mutual exclusivity and co-occurrence patterns between LUAD and LUSC. In addition, the nomogram models show promise of more precise prognostic prediction of NSCLC patients when integrating genetic information with clinical characteristics.


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