Evidence map›Paper›PMID 37894301›Full record

ReviewCancers2023

Comprehensive Systematic Review of Biomarkers in Metastatic Renal Cell Carcinoma: Predictors, Prognostics, and Therapeutic Monitoring.

Komal A Dani, Joseph M Rich, Sean S Kumar, Harmony Cen, Vinay A Duddalwar, Anishka D'Souza

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% of its field
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Cancers · 2025
    Article
  7. Article
  8. Article
  9. 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

6 authors at 1 institution in 1 country.

Komal A DaniKeck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
Joseph M RichKeck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.ORCID 0000-0003-1400-8479
Sean S KumarEastern Virginia Medical School, Norfolk, VA 23507, USA.ORCID 0000-0001-6330-4448
Harmony CenUniversity of Southern California, Los Angeles, CA 90033, USA.
Vinay A DuddalwarDepartment of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.ORCID 0000-0002-4808-5715
Anishka D'SouzaDepartment of Medical Oncology, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA 90033, USA.
University of Southern California · US

Funding

USC/CHLA Summer Oncology Research Fellowship (SORF) Program for Medical StudentsR25CA225513 · NCI · CHILDREN'S HOSPITAL OF LOS ANGELES · PI ANAT ERDREICH-EPSTEIN, WIJBE MARTIN KAST · 2019 to 2026
$1.7M
NCI NIH HHS R25 CA225513
6 · The paper itself

Abstract

backgroundChallenges remain in determining the most effective treatment strategies and identifying patients who would benefit from adjuvant or neoadjuvant therapy in renal cell carcinoma. The objective of this review is to provide a comprehensive overview of biomarkers in metastatic renal cell carcinoma (mRCC) and their utility in prediction of treatment response, prognosis, and therapeutic monitoring in patients receiving systemic therapy for metastatic disease.

methodsA systematic literature search was conducted using the PubMed database for relevant studies published between January 2017 and December 2022. The search focused on biomarkers associated with mRCC and their relationship to immune checkpoint inhibitors, targeted therapy, and VEGF inhibitors in the adjuvant, neoadjuvant, and metastatic settings.

resultsThe review identified various biomarkers with predictive, prognostic, and therapeutic monitoring potential in mRCC. The review also discussed the challenges associated with anti-angiogenic and immune-checkpoint monotherapy trials and highlighted the need for personalized therapy based on molecular signatures.

conclusionThis comprehensive review provides valuable insights into the landscape of biomarkers in mRCC and their potential applications in prediction of treatment response, prognosis, and therapeutic monitoring. The findings underscore the importance of incorporating biomarker assessment into clinical practice to guide treatment decisions and improve patient outcomes in mRCC.

Indexed as

immune checkpoint inhibitorsmetastatic diseasepredictive biomarkersprognostic biomarkersrenal cell carcinomatherapeutic monitoringVEGF inhibitors

Identifiers

PMID37894301
PMCPMC10605584
OpenAlexW4387530156

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.