Evidence map›Paper›PMID 39697753›Full record

ReviewTranslational cancer research2024

Adjuvant therapy in renal cell carcinoma (RCC): progress, at last.

Andrew N Bueno, Mark N Stein, Karie Runcie

Abstract readReview
In one paragraph

Review in Translational cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. 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.

Andrew N BuenoDepartment of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA.
Mark N SteinDivision of Hematology and Oncology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA.
Karie RuncieDivision of Hematology and Oncology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA.ORCID https://orcid.org/0000-0002-0598-7663

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the United States, there is expected to be about 82,000 cases of renal cell carcinoma (RCC) in 2024. At diagnosis, approximately 65% of patients with RCC will have disease localized to the kidney. For decades, the standard of care for patients with localized RCC has been surgery, which is often curative, followed by radiographic surveillance. However, after nephrectomy, patients may have up to 50% risk of recurrence. Thus, there has been a longstanding effort to reduce the recurrence of kidney cancer in the adjuvant setting after nephrectomy and/or metastasectomy. Over the past 30 years, a number of different therapeutic agents have been tested in the adjuvant setting including cytokines, autologous tumor cell vaccines, vascular endothelial growth factor (VEGF) pathway inhibitors, mammalian target of rapamycin (mTOR) inhibitors, and most recently immune checkpoint inhibitors (ICIs). The vast majority of these adjuvant trials in RCC have shown no significant clinical benefit for patients. In 2021, the KEYNOTE-564 trial demonstrated that adjuvant pembrolizumab improved progression-free survival and more recently showed an overall survival benefit for patients with high risk of recurrence of clear cell RCC (ccRCC). These findings have ushered in a new standard of care for patients with ccRCC at high risk of recurrence after nephrectomy. Here, we provide an overview of the major adjuvant trials in RCC, with a focus on ccRCC, and provide a framework for the management of patients with high risk localized ccRCC.

Indexed as

Adjuvant therapyclear cell renal cell carcinoma (ccRCC)immune checkpoint inhibitionKEYNOTE-564tyrosine kinase inhibitors (TKIs)

Identifiers

PMID39697753
PMCPMC11651811

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Registered trials

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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.