Evidence map›Paper›PMID 40240621›Full record

ReviewNature cancer2025

Biomarker-informed care for patients with renal cell carcinoma.

Mackenzie B McKinnon, Brian I Rini, Scott M Haake

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Cancers · 2025
    Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Mackenzie B McKinnonDivision of Hematology and Oncology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Brian I RiniDivision of Hematology and Oncology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID http://orcid.org/0000-0002-2212-080X
Scott M HaakeDivision of Hematology and Oncology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA. scott.haake@vumc.org.ORCID http://orcid.org/0000-0003-3455-0791

Funding

U.S. Department of Defense (United States Department of Defense) HT9425-24-1-0865U.S. Department of Defense (United States Department of Defense) HT9425-24-1-1089U.S. Department of Defense (United States Department of Defense) W81XWH-21-KCRP-IDA
6 · The paper itself

Abstract

Kidney cancer is a commonly diagnosed cancer in adults, and clear cell renal cell carcinoma (ccRCC) is the most common histological subtype. Immune checkpoint inhibitors have revolutionized care for patients with ccRCC, either as adjuvant therapy or combined with other agents in advanced disease. However, biomarkers to predict therapeutic benefits are lacking. Here, we explore biomarkers that predict therapeutic response in other tumor types and discuss the reasons for their ineffectiveness in ccRCC. We also review emerging predictive and prognostic biomarkers to prioritize in ccRCC, including gene expression signatures.

Indexed as

Biomarkers, TumorCarcinoma, Renal CellKidney NeoplasmsHumansImmune Checkpoint InhibitorsPrognosisBiomarkers, TumorImmune Checkpoint Inhibitors

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.