The new scale for the semi-automatic assessment of the immune microenvironment in gastric cancer has great prognostic value compared to generally accepted scales

Mikhailov, I.; Danilova, N.; Khomyakov, V.; Chayka, A.; Oleynikova, N.; Malkov, P.

Авторы: Mikhailov I., Danilova N., Khomyakov V., Chayka A., Oleynikova N., Malkov P.
Журнал: Virchows Archiv
Том: 477
Номер: S1
Год издания: 2020
Издательство: Springer Verlag
Местоположение издательства: Germany
Первая страница: S190
Последняя страница: S190
Номер статьи: PS-21-052
DOI: 10.1007/s00428-020-02938-x
Аннотация: Background & objectives. Generally accepted scales for assessing immune microenvironment in gastric cancer are based on manual calculation of average number of cells in hot spots (predominantly intratumoral and in invasive margin). This is time-consuming process, development of new assessment scales is required.Methods. After immunohistochemical staining average area of CD8+ cells (square micrometres) in three fields of view (lens magn.x20) was assessed separately in central part of tumour and in morphologically normal mucous membrane of peritumoral region directly adjacent to tumour tissue. Automatic segmentation method based on colour separation (RGB system) implemented in the Leica LASX tool was used.Results. We also counted average number of cells in three hot spots (lens magn.x20) in tumour and normal mucous membrane. Multivariate analysis of factors affecting overall survival was performed using Cox proportional hazard model (N=43). Risk ratio (RR) for intratumoral CD8+ cells using hot spot counts was 1,001 (CI: 0,995–1,008, p<0,01) and when using the new scale RR=1,009 (CI: 0,532–1,914, p<0,01). By using the hot spot count obtained RR for CD8+ cells in normal mucosa using hot spot calculation was 1,005 (CI: 0,999–1,011, p<0,01) and when using the new scale RR=1,599 (CI: 0,519–4,917, p<0,01).Conclusion. Our proposed scale for assessing immune microenvironment in gastric cancer showed that average area of CD8+cells assessed in normal mucosa by automatic segmentation is strong negative prognostic factor. Values obtained using hot spot calculation were not significantly related to prognosis.
Добавил в систему: Михайлов Илья Александрович

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