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Kazuyoshi Shimada

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    P2.09 - Pathology (ID 174)

    • Event: WCLC 2019
    • Type: Poster Viewing in the Exhibit Hall
    • Track: Pathology
    • Presentations: 1
    • Now Available
    • Moderators:
    • Coordinates: 9/09/2019, 10:15 - 18:15, Exhibit Hall
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      P2.09-25 - Tumor Spread Through Air Spaces (STAS) Was Correlated with Multiple Advanced Clinicopathological Factors (Now Available) (ID 2994)

      10:15 - 18:15  |  Author(s): Kazuyoshi Shimada

      • Abstract
      • Slides


      Tumor spread through air spaces (STAS) has been reported as a form of tumor invasion having a poor prognosis mainly in lung adenocarcinoma. However, STAS appears not only in adenocarcinoma but in squamous cell carcinoma and neuroendocrine carcinoma. The aim of this study was to analysis STAS in recent resected lung cancers.


      This study included 103 patients with assessment of STAS of 163 NSCLC who underwent complete surgical resection at Osaki Citizen Hospital between April 2017 and March 2019. STAS were assessed tumor edges to find floating tumor cells or clusters. A statistical analysis was performed to determine the impact of clinicopathologic parameters on STAS and to clarify the relationship between STAS and recurrence.


      STAS was present in 34 of 103 cases (33.0%). Cases with STAS contained 28 of adenocarcinoma, 4 of squamous cell carcinoma and 2 of small cell carcinoma. STAS was correlated with the value of carcinoembryonic antigen (CEA), tumor size, invasion size, pathological T factor (pT), pathological N factor (pN), pleural invasion (pl), intrapulmonary metastasis (pm), lymphatic invasion (ly) and blood-vessel invasion (v). Although this study has short-term follow up periods, there was a significant association between presence of STAS. In a multivariate Cox proportional hazards model, no significant predictor of RFS was defined.


      We found STAS in 33% of resected lung cancers. Presence of STAS was correlated with multiple advanced clinicopathological factors and recurrence, but not significant in multivariate analysis.

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