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Min Zhang

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    P1.09 - Pathology (Not CME Accredited Session) (ID 941)

    • Event: WCLC 2018
    • Type: Poster Viewing in the Exhibit Hall
    • Track:
    • Presentations: 1
    • Moderators:
    • Coordinates: 9/24/2018, 16:45 - 18:00, Exhibit Hall
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      P1.09-20 - Correlation Between Whole Genomic Copy Number Variant Scoring and Pathological Classification, Staging in Lung Non-Mucinous Adenocarcinoma (ID 12126)

      16:45 - 18:00  |  Author(s): Min Zhang

      • Abstract
      • Slides


      The new classification of lung adenocarcinoma composing of adenocarcinoma in situ (AIS), minimally invasive adenocarcinoma (MIA) and invasive adenocarcinoma (IA) has been applicable worldwide. Both the histological classification and TNM staging of lung adenocarcinoma have important values in indicating prognosis, but their correlations with whole genomic copy number variation (WGCNV) are still unknown.

      a9ded1e5ce5d75814730bb4caaf49419 Method

      Lung non-mucinous adenocarcinoma(LNMA) including AIS, MIA and IA resection specimens, malignant pleural effusion (MPE), metastatic nodules (MN) biopsy and 20 para-cancerous non-tumor lung tissue samples were selected. The cells of predominant histological subtype from each LNMA and non-tumor smaples were collected by laser microdissection from HE staining FrameSlides PEN-Membrane slides. Whole genome amplification followed by high-throughput sequencing was used to detect the somatic CNV with the para-cancerous lung tissues as normal reference set. WGCNV was scored by a particular formula.

      4c3880bb027f159e801041b1021e88e8 Result

      12126 figure upload.jpg12126 table upload.jpg

      WGCNV median scores and distributions of pathological subcategories and TNM staging were shown in Table 1 and their trends were displayed in Figure 1.WGCNV scores display the positive correlation or significant differences among diversified histological subcategories of LNMA, but not in T & TMN staging

      8eea62084ca7e541d918e823422bd82e Conclusion

      WGCNV scoring displays the positive correlation or significant differences among diversified subcategories and may has a potential value prediecting prognosis in LNMA.


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