Evidence map›Paper›PMID 33832947›Full record

Trial reportClinical cancer research : an official journal of the American Association for Cancer Research2021

Plasma KIM-1 Is Associated with Recurrence Risk after Nephrectomy for Localized Renal Cell Carcinoma: A Trial of the ECOG-ACRIN Research Group (E2805).

Wenxin Xu, Mäneka Puligandla, Brian Halbert, Naomi B Haas, Keith T Flaherty, Robert G Uzzo, Janice P Dutcher, Robert S DiPaola, Venkata Sabbisetti, Rupal S Bhatt

Open access · bronzeAbstract readClinical Trial
In one paragraph

Trial report in Clinical cancer research : an official journal of the American Association for Cancer Research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 10% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

  1. Pooled it
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  19. Immunotherapy in Renal Cell Carcinoma.Cancer treatment and research · 2025
    Review
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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

10 authors at 8 institutions in 1 country.

Wenxin XuDana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0002-8450-2037
Mäneka PuligandlaDana-Farber Cancer Institute, Boston, Massachusetts.
Brian HalbertBeth Israel Deaconess Medical Center, Boston, Massachusetts.ORCID 0000-0002-3515-6019
Naomi B HaasUniversity of Pennsylvania/Abramson Cancer Center, Philadelphia, Philadelphia.
Keith T FlahertyMassachusetts General Hospital, Boston, Massachusetts.
Robert G UzzoFox Chase Cancer Center, Philadelphia, Pennsylvania.
Janice P DutcherThe Cancer Research Foundation, Chappaqua, New York.ORCID 0000-0002-2267-9187
Robert S DiPaolaUniversity of Kentucky, Lexington, Kentucky.
Venkata SabbisettiBrigham and Women's Hospital, Boston, Massachusetts.
Rupal S BhattBeth Israel Deaconess Medical Center, Boston, Massachusetts. rbhatt@bidmc.harvard.edu.
Beth Israel Deaconess Medical Center · USDana-Farber Cancer Institute · USBrigham and Women's Hospital · USFox Chase Cancer Center · USKids' Brain Tumor Cure Foundation · USMassachusetts General Hospital · USUniversity of Kentucky · USUniversity of Pennsylvania · US

Funding

Project-006U10CA180820 · NCI · ECOG-ACRIN MEDICAL RESEARCH FOUNDATION · PI Peter J ODwyer · 2014 to 2026
$167.6M
Statistics CoreU10CA180794 · NCI · DANA-FARBER CANCER INST · PI PAUL J CATALANO, CONSTANTINE A. GATSONIS · 2014 to 2026
$111.2M
Treating the P13-Kinase/AKTP50CA101942 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI David McDermott · 2003 to 2026
$53.4M
ECOG-ACRIN Biospecimen Bank to Support NCTNU24CA196172 · NCI · ECOG-ACRIN MEDICAL RESEARCH FOUNDATION · PI STANLEY R. HAMILTON, Scott D Jewell · 2015 to 2026
$41.1M
NCTN Lead Academic Participating Site at Dana-Farber/Partners Cancer CareUG1CA233180 · NCI · DANA-FARBER CANCER INST · PI Harold John Burstein · 2019 to 2026
$8.6M
Combating Resistance to Antiangiogenic Therapy in Renal Cell CarcinomaR01CA196996 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI BHATT, RUPAL S · 2015 to 2019
$2.0M
NCI NIH HHS P50 CA101942NCI NIH HHS R01 CA196996NCI NIH HHS U10 CA180794NCI NIH HHS U10 CA180820NCI NIH HHS U24 CA196172NCI NIH HHS UG1 CA233180
6 · The paper itself

Abstract

purposeNo circulating biomarkers are currently available to identify patients at highest risk of recurrence after nephrectomy for renal cell carcinoma (RCC). Kidney injury molecule-1 (KIM-1) is overexpressed in RCC and its ectodomain circulates in plasma. We investigated whether plasma KIM-1 is a prognostic biomarker in patients with localized RCC after nephrectomy. EXPERIMENTAL

designThe ECOG-ACRIN E2805 (ASSURE) trial evaluated adjuvant sunitinib, sorafenib, or placebo in resected high-risk RCC. KIM-1 levels were measured from banked plasma at trial enrollment 4-12 weeks after nephrectomy. Lognormal accelerated failure time models were used to test for association between KIM-1 and disease-free survival (DFS) as well as overall survival (OS).

resultsPlasma from 418 patients was analyzed. Higher post-nephrectomy KIM-1 was associated with worse DFS across all study arms after adjustment for Fuhrman grade, T stage, N stage, and tumor histology [survival time ratio 0.56 for 75th vs. 25th percentile of KIM-1; 95% confidence interval (CI), 0.42-0.73;

conclusionsPost-nephrectomy plasma KIM-1 is associated with DFS and OS in RCC, and may be a biomarker for microscopic residual disease.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsChemotherapy, AdjuvantDisease-Free SurvivalHumansNephrectomyPrognosisSunitinibSunitinib

Identifiers

PMID33832947
PMCPMC8287837
OpenAlexW3144607945

What OpenQuestion holds

Textmetadata
LicenceTDM
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.