ReviewFrontiers in oncology2020
Predictive Biomarkers of Response to Immunotherapy in Metastatic Renal Cell Cancer.
Review in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
42 citing papers in PubMed, 77 citations in OpenAlex.
- Pembrolizumab plus axitinib versus sunitinib for advanced clear cell renal cell carcinoma: 5-year survival and biomarker analyses of the phase 3 KEYNOTE-426 trial.Nature medicine · 2025Trial
- A Randomized Phase II Study of MEDI0680 in Combination with Durvalumab versus Nivolumab Monotherapy in Patients with Advanced or Metastatic Clear-cell Renal Cell Carcinoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022Trial
- Case Report: A rare case of Pneumocystis jirovecii infection with left hydropneumothorax following immunotherapy for stage IVB clear cell renal cell carcinoma.Frontiers in medicine · 2026Article
- Immunosuppressive cell populations as potential drivers of extrinsic immune checkpoint inhibition resistance in clear cell renal cell carcinoma.Oncology reviews · 2026Review
- Lessons learned from spatial transcriptomic analyses in clear-cell renal cell carcinoma.Nature reviews. Urology · 2025Review
- The impact of smoking on nivolumab outcomes in renal cell carcinoma: real-world data from the Turkish Oncology Group Kidney Cancer Consortium.The oncologist · 2025Article
- Construction of a risk model based on m5C-associated lncRNAs to predict the prognosis in renal cell carcinoma.Medicine · 2025Article
- Microfluidics and molecular diagnostics in renal cell carcinoma: advances, challenges, and future directions.Frontiers in oncology · 2025Review
- Immunotherapy Applications for Thymine Dimers and WT1 Antigen in Renal Cancers: A Comparative Statistical Analysis.Journal of personalized medicine · 2024Article
- Circulating microRNA-155-3p levels predicts response to first line immunotherapy in patients with metastatic renal cell carcinoma.Scientific reports · 2024Article
- Label-Free SERS of Urine Components: A Powerful Tool for Discriminating Renal Cell Carcinoma through Multivariate Analysis and Machine Learning Techniques.International journal of molecular sciences · 2024Article
- Management of Renal Cell Carcinoma: Promising Biomarkers and the Challenges to Reach the Clinic.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024Review
- Article
- Article
- A novel immune-related gene signature for predicting immunotherapy outcomes and survival in clear cell renal cell carcinoma.Scientific reports · 2023Article
- Review
- Axitinib Rechallenge Restores the Anticancer Effect after Nivolumab: A Case Report.International journal of molecular sciences · 2023Article
- Biomarkers for Immune Checkpoint Inhibitors in Renal Cell Carcinoma.Journal of clinical medicine · 2023Review
- Immune regulation and prognosis indicating ability of a newly constructed multi-genes containing signature in clear cell renal cell carcinoma.BMC cancer · 2023Article
- Cancer associated macrophage-like cells in metastatic renal cell carcinoma predicts for poor prognosis and tracks treatment response in real time.Scientific reports · 2023Article
Corrections and comments
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionIn the last decades, the therapeutic decision-making approach to metastatic renal cell cancer (mRCC) has dramatically changed thanks to the introduction in the treatment scenario of, first, anti-angiogenic agents and, afterward, immune-checkpoint inhibitors (ICIs). Immunotherapy is now the standard of care in pretreated mRCC patients and has recently entered even the first line setting. Nevertheless, in mRCC as well as in other tumor settings, a durable and clinically meaningful benefit from treatment with ICIs is not obtained for all patients treated. Therefore, the necessity to identify and validate predictive biomarkers of response to immunotherapy has emerged, in order to design the optimal treatment strategy for mRCC patients. DISCUSSION: In this review, we present and discuss the most promising predictive biomarkers of response to ICIs in mRCC with the recent data available. In details, the first marker that was investigated is the immunohistochemical expression of programmed death receptor ligand 1 (PD-L1), showing a negative prognostic role in mRCC, but the debate about its potential predictive value is still open. Additionally, the high heterogeneity in PD-L1 determination methods adds complexity to this issue. Second, the tumor mutational or neoantigen burden is an emerging biomarker of increased response to immunotherapy, hypothesizing that the higher the TMB, the higher is the production of neoantigens, and thus the stimulation of anti-tumor immune response, even though controversial results have been obtained. Third, the tumor microenvironment, namely the different populations of the immune infiltrate, plays a key role in tumor progression and in the response to immunotherapy. Finally, several studies have collected evidence on the potential association of the occurrence of immune-related adverse events (irAEs) with the benefit from ICIs, first in non-small cell lung cancer (NSCLC) and melanoma, and recently even in mRCC.
conclusionSeveral promising biomarkers of response to immunotherapy with ICIs have been identified, though without conclusive results upon their potential predictive value in mRCC. Therefore, the results of the exploratory analyses of the recently presented first-line trials and hopefully of future prospective, biomarker-driven studies could provide useful tools to be applied in the everyday clinical practice.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.