Literature DB >> 26014095

Differential Expression of PD-L1 between Primary and Metastatic Sites in Clear-Cell Renal Cell Carcinoma.

Marcella Callea1, Laurence Albiges2, Mamta Gupta3, Su-Chun Cheng4, Elizabeth M Genega5, André P Fay2, Jiaxi Song1, Ingrid Carvo1, Rupal S Bhatt6, Michael B Atkins7, F Stephen Hodi2, Toni K Choueiri8, David F McDermott6, Gordon J Freeman2, Sabina Signoretti9.   

Abstract

PD-L1 expression in primary clear-cell renal cell carcinoma (ccRCC) increases the likelihood of response to anti-PD-1 inhibition, but fails to identify all responders. We hypothesized that PD-L1 levels assessed in randomly selected areas of the primary tumors may not accurately reflect expression levels in metastatic lesions, which are the target of systemic therapy. Therefore, we compared PD-L1 expression in a series of primary ccRCC and their metastases. Tissue blocks from 53 primary ccRCCs and 76 corresponding metastases were retrieved. Areas with predominant and highest nuclear grade were selected. Slides were immunostained with a validated anti-PD-L1 antibody (405.9A11). Membranous expression in tumor cells was quantified using H-score. Expression in tumor-infiltrating mononuclear cells (TIMC) was quantified using a combined score. Discordant tumor cell PD-L1 staining between primary tumors and metastases was observed in 11 of 53 cases (20.8%). Overall, tumor cell PD-L1 levels were not different in primary tumors and metastases (P = 0.51). Tumor cell PD-L1 positivity was associated with higher T stage (P = 0.03) and higher Fuhrman nuclear grade (P < 0.01). Within individual lesions, PD-L1 positivity was heterogeneous and almost exclusively detected in high nuclear grade areas (P < 0.001). No difference was found in PD-L1 levels in TIMCs between primary tumors and metastases (P = 0.82). The heterogeneity of PD-L1 expression in ccRCC suggests that its assessment as a predictive biomarker for PD-1 blockade may require analysis of metastatic lesions. Notably, because PD-L1 expression was mostly detected in high nuclear grade areas, to avoid false-negative results, these areas should be specifically selected for assessment. ©2015 American Association for Cancer Research.

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Year:  2015        PMID: 26014095      PMCID: PMC4596765          DOI: 10.1158/2326-6066.CIR-15-0043

Source DB:  PubMed          Journal:  Cancer Immunol Res        ISSN: 2326-6066            Impact factor:   11.151


  25 in total

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Journal:  Lancet Oncol       Date:  2013-01-09       Impact factor: 41.316

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Authors:  T K Choueiri; A P Fay; K P Gray; M Callea; T H Ho; L Albiges; J Bellmunt; J Song; I Carvo; M Lampron; M L Stanton; F S Hodi; D F McDermott; M B Atkins; G J Freeman; M S Hirsch; S Signoretti
Journal:  Ann Oncol       Date:  2014-09-05       Impact factor: 32.976

Review 10.  Immune therapy for kidney cancer: a second dawn?

Authors:  David F McDermott; Michael B Atkins
Journal:  Semin Oncol       Date:  2013-08       Impact factor: 4.929

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  102 in total

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4.  Expression Patterns, Prognostic Value, and Intratumoral Heterogeneity of PD-L1 and PD-1 in Thymoma and Thymic Carcinoma.

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Review 6.  Immune Checkpoint Imaging in Oncology: A Game Changer Toward Personalized Immunotherapy?

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Review 8.  Immunotherapy in metastatic urothelial carcinoma: focus on immune checkpoint inhibition.

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9.  PD-L1 Expression and Clinical Outcomes to Cabozantinib, Everolimus, and Sunitinib in Patients with Metastatic Renal Cell Carcinoma: Analysis of the Randomized Clinical Trials METEOR and CABOSUN.

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Journal:  J Clin Invest       Date:  2016-08-15       Impact factor: 14.808

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