Virtual Library

Start Your Search

D.L. Rimm



Author of

  • +

    P2.01 - Poster Session with Presenters Present (ID 461)

    • Event: WCLC 2016
    • Type: Poster Presenters Present
    • Track: Biology/Pathology
    • Presentations: 1
    • +

      P2.01-046 - Quantitative Measurement of B7-H3 Protein Expression and Its Association with B7-H4, PD-L1 and TILs in NSCLC (ID 4288)

      14:30 - 14:30  |  Author(s): D.L. Rimm

      • Abstract
      • Slides

      Background:
      B7-H3 (CD276) is a type I transmembrane protein that belongs to the B7 immunoregulatory family including PD-L1 (B7-H1) and is upregulated in multiple malignancies including Non-Small Cell Lung Cancer (NSCLC). Clinical activity of monoclonal B7-H3 blocking antibodies such as Enoblituzumab are under investigation. In this study we measured the levels of B7-H3 protein in NSCLC and studied its association with major tumor infiltrating lymphocyte (TIL) subsets, levels of PD-L1, B7-H4 and clinico-pathological characteristics in three independent NSCLC cohorts.

      Methods:
      We used automated quantitative immunofluorescence (QIF) to assess the levels of B7-H3 (clone D9M2L, CST), PD-L1 (clone SP142, Spring), B7-H4 (Clone D1M8I, CST) CD3, CD8 and CD20 in 634 NSCLC cases from 3 retrospective cohorts represented in tissue microarray format. The targets were selectively measured in the tumor and stromal compartments using co-localization with cytokeratin. Associations between the marker levels, major clinic-pathological variables and survival were analyzed.

      Results:
      Expression of B7-H3 protein was found in 80.4% (510/634) of the cases and the levels were higher in the tumor than in the stromal compartment. High B7-H3 protein expression level (top 10 percentile) was associated with poor survival in two out of three of the cohorts (p <0.05). Elevated B7-H3 was consistently associated with smoking history across the 3 cohorts, but not with sex, age, clinical stage and histology. Co-expression of B7-H3 and PD-L1 was found in 17.6% of the cases (112/634) and with B7-H4 in 10% (63/634). B7-H4 and PD-L1 were simultaneously detected only in 1.8% of NSCLCs (12/634). The expression of B7-H3 was not associated with the levels of CD3, CD8 and CD20 positive TILs.

      Conclusion:
      B7-H3 protein is expressed in the majority of NSCLCs and is associated with smoking history. High B7-H3 protein levels may have a prognostic effect in lung carcinomas. Elevated levels of B7-H3 are not associated with lymphocyte infiltration. Co-expression of B7-H3 with PD-L1 and B7-H4 is relatively low, suggesting a non-redundant biological role of these targets and possibilities for combination therapies using monoclonal antibodies.

      Only Active Members that have purchased this event or have registered via an access code will be able to view this content. To view this presentation, please login or select "Add to Cart" and proceed to checkout.

  • +

    P3.02c - Poster Session with Presenters Present (ID 472)

    • Event: WCLC 2016
    • Type: Poster Presenters Present
    • Track: Advanced NSCLC
    • Presentations: 1
    • +

      P3.02c-067 - Validation of PD-L1 Expression on Circulating Tumor Cells in Lung Cancer (ID 4819)

      14:30 - 14:30  |  Author(s): D.L. Rimm

      • Abstract
      • Slides

      Background:
      The human immune system recognizes and eliminates certain types of tumor cells, whereas other malignancies are capable of suppressing immune function. For example, a number of cancers cell types express programmed cell death ligand 1 (PD-L1), which binds to its receptor PD-1 on T cells to prevent their activation. High levels of PD-L1 expression are typically associated with poor patient prognosis. Based on these results, researchers have developed immunotherapies (e.g., inhibitors of the PD-1/PD-L1 pathway) to stimulate the immune system, allowing the body's natural defenses to combat the tumor. To determine which patients are suitable candidates for receiving immunotherapy, levels of PD-L1 expression are often determined from tumor biopsies, but tumor heterogeneity can confound these results and obtaining tumor tissue is often not feasible. To enable non-invasive detection and sequential monitoring of tumor-associated PD-L1 expression we have developed a highly sensitive method of detecting PD-L1 levels in circulating tumor cells (CTCs). Here we sought to analytically validate the PD-L1 assay by introducing PD-L1-positive (H358) and PD-L1-negative (BT474) cells into control blood samples, and measuring detection accuracy.

      Methods:
      PD-L1 expression levels on carcinoma cell lines were identified by flow cytometry. For analytical validation, H727, BT474 H358, HCC78 and H820 cells were spiked into CEE-SureTM blood collection tubes, in replicates and on different days, incubated overnight and thereafter processed. The leukocyte fraction was incubated with our pan-CTC antibody capture cocktail, labeled with biotinylated secondary antibody, followed by enrichment in our streptavidin coated microfluidic channels. Enriched cells were stained for DAPI, cytokeratin, CD45, PD-L1 (clone 28-8) and CEE-Enhanced (pan-CTC stain). After automated fluorescence scanning, 400 spiked tumor cells per microfluidic channel were identified and average PD-L1 intensities were quantified for each cell and cut-off criteria were determined.

      Results:
      In our microfluidic PD-L1 assay we demonstrate H727 and BT474 cells to be negative for PD-L1, while H358 cells have low-medium and HCC78 and H820 cells high PD-L1 expression. We determined a cut-off value (average fluorescence intensity value) that yielded 100% concordance between the result of the PD-L1 test and the identity of the introduced cell lines, based on a 95% confidence level and a 3.9% negative cut-off.

      Conclusion:
      The Biocept PD-L1 assay can accurately detect added CTCs that express PD-L1 in blood samples. This ability affords a way to identify patients likely to benefit from immune therapy as well as monitor the efficacy of such treatments.

      Only Active Members that have purchased this event or have registered via an access code will be able to view this content. To view this presentation, please login or select "Add to Cart" and proceed to checkout.