Literature DB >> 32816890

Angiogenic and Immune-Related Biomarkers and Outcomes Following Axitinib/Pembrolizumab Treatment in Patients with Advanced Renal Cell Carcinoma.

Jean-François Martini1, Elizabeth R Plimack2, Toni K Choueiri3, David F McDermott4, Igor Puzanov5,6, Mayer N Fishman7, Daniel C Cho8, Ulka Vaishampayan9, Bradley Rosbrook1, Kathrine C Fernandez10, Jamal C Tarazi1, Saby George6, Michael B Atkins11.   

Abstract

PURPOSE: Combined axitinib/pembrolizumab is approved for advanced renal cell carcinoma (aRCC). This exploratory analysis examined associations between angiogenic and immune-related biomarkers and outcomes following axitinib/pembrolizumab treatment. PATIENTS AND METHODS: Prospectively defined retrospective correlative exploratory analyses tested biospecimens from 52 treatment-naïve patients receiving axitinib and pembrolizumab (starting doses 5 mg twice daily and 2 mg/kg respectively, every 3 weeks). Tumor tissue, serum, and whole blood samples were collected at baseline, at cycle 2 day 1 (C2D1), and end of treatment (EOT) for blood-based samples. Clinical outcomes were objective response rate (ORR) and progression-free survival (PFS).
RESULTS: Higher baseline tumor levels of CD8 showed a trend toward longer PFS (HR 0.4; P = 0.091). Higher baseline serum levels of CXCL10 (P = 0.0197) and CEACAM1 (P = 0.085) showed a trend toward better ORR and longer PFS, respectively. Patients for whom IL6 was not detected at baseline had longer PFS versus patients for whom it was detected (HR 0.4; P = 0.028). At C2D1 and/or EOT, mainly immune-related biomarkers showed any association with better outcomes. The genes CA9 (P = 0.084), HIF1A (P = 0.064), and IFNG (P = 0.073) showed trending associations with ORR, and AKT3 (P = 0.0145), DDX58 (P = 0.0726), GZMA (P = 0.0666), LCN2 (NGAL; P = 0.0267), and PTPN11 (P = 0.0287) with PFS.
CONCLUSIONS: With combined axitinib/pembrolizumab treatment in patients with aRCC, mostly immune-related biomarkers are associated with better treatment outcomes. This exploratory analysis has identified some candidate biomarkers to consider in future prospective testing. ©2020 American Association for Cancer Research.

Entities:  

Year:  2020        PMID: 32816890     DOI: 10.1158/1078-0432.CCR-20-1408

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  5 in total

1.  Evaluation of tumor microenvironment and biomarkers of immune checkpoint inhibitor response in metastatic renal cell carcinoma.

Authors:  Landon C Brown; Jason Zhu; Kunal Desai; Emily Kinsey; Chester Kao; Yong Hee Lee; Sarabjot Pabla; Matthew K Labriola; Jennifer Tran; Konstantin H Dragnev; Laura J Tafe; Farshid Dayyani; Rajan T Gupta; Shannon McCall; Daniel J George; Sean T Glenn; Mary K Nesline; Saby George; Matthew Zibelman; Carl Morrison; Moshe C Ornstein; Tian Zhang
Journal:  J Immunother Cancer       Date:  2022-10       Impact factor: 12.469

2.  Baseline circulating unswitched memory B cells and B-cell related soluble factors are associated with overall survival in patients with clear cell renal cell carcinoma treated with nivolumab within the NIVOREN GETUG-AFU 26 study.

Authors:  Lucia Carril-Ajuria; Aude Desnoyer; Laurence Albiges; Nathalie Chaput-Gras; Maxime Meylan; Cécile Dalban; Marie Naigeon; Lydie Cassard; Yann Vano; Nathalie Rioux-Leclercq; Salem Chouaib; Benoit Beuselinck; Sylvie Chabaud; Janice Barros-Monteiro; Antoine Bougoüin; Guillaume Lacroix; Irelka Colina-Moreno; Florence Tantot; Lisa Boselli; Caroline De Oliveira; Wolf Herve Fridman; Bernard Escudier; Catherine Sautes-Fridman
Journal:  J Immunother Cancer       Date:  2022-05       Impact factor: 12.469

Review 3.  Immune checkpoint blockade in renal cell carcinoma.

Authors:  Phillip M Rappold; Andrew W Silagy; Ritesh R Kotecha; Ari A Hakimi
Journal:  J Surg Oncol       Date:  2021-03       Impact factor: 3.454

4.  The amount of DNA combined with TP53 mutations in liquid biopsy is associated with clinical outcome of renal cancer patients treated with immunotherapy and VEGFR-TKIs.

Authors:  Marzia Del Re; Stefania Crucitta; Federico Paolieri; Federico Cucchiara; Elena Verzoni; Francesco Bloise; Raffaele Ciampi; Chiara Mercinelli; Annalisa Capuano; Liberata Sportiello; Antonia Martinetti; Giuseppe Procopio; Luca Galli; Camillo Porta; Sergio Bracarda; Romano Danesi
Journal:  J Transl Med       Date:  2022-08-16       Impact factor: 8.440

Review 5.  Biomarker Development for Metastatic Renal Cell Carcinoma: Omics, Antigens, T-cells, and Beyond.

Authors:  Benjamin Miron; David Xu; Matthew Zibelman
Journal:  J Pers Med       Date:  2020-11-13
  5 in total

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