Fig. 1: Evaluation of baseline immune-status by immunohistochemistry and diagnosis characteristics in patient-derived ovarian cancer samples. | Cancer Gene Therapy

Fig. 1: Evaluation of baseline immune-status by immunohistochemistry and diagnosis characteristics in patient-derived ovarian cancer samples.

From: Improving the cytotoxic response of tumor-infiltrating lymphocytes towards advanced stage ovarian cancer with an oncolytic adenovirus expressing a human vIL-2 cytokine

Fig. 1: Evaluation of baseline immune-status by immunohistochemistry and diagnosis characteristics in patient-derived ovarian cancer samples.The alternative text for this image may have been generated using AI.

Upon arrival, fragments of ovarian cancer samples were fixed and embedded into paraffin blocks, and staining with HE and immunohistochemistry for CD4+ T, CD8+ T, CD56+, and PD-L1+ cells were performed. AC Chart graphs detailing ovarian cancer characteristics on (A) diagnosis, (B) location of resected specimen, and (C) prior cancer therapies. D Expression of PD-L1 percentages levels on cancer cells, immune cells and overall counting in ovarian cancer samples. E Ratio of CD4+/CD8+ T cell infiltration across study samples. F Baseline maximum counting of CD4+ T cell infiltration across all ovarian cancer tumors in ×400 power field. G Baseline maximum counting of CD8+ T cell infiltration across all ovarian cancer tumors in ×400 power field. H Baseline relative counting of CD56+ infiltrating lymphocyte present in each ovarian cancer samples. I Photos of slides representing lymphocyte infiltration in an ovarian cancer samples. From left to right, HE staining showing in yellow cancer cells (CC) and immune cells (IC) grouping, CD4+ T cells (brown), CD8+ T cells (brown), and CD56+ cells (red arrows) distribution in the same tumor area. IHC photos from HUSOV16 slides were used to exemplify the lymphocyte infiltration pattern. Upper row ×26 magnification (scale bar 200 µm) and lower row ×33 magnification (scale bar 100 µm). Partial data was published as Quixabeira et al, 2022 at ESMO Immuno-Oncology 2022.

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