Evidence map›Paper›PMID 34765076›Full record

ArticleKidney cancer journal : official journal of the Kidney Cancer Association2021

Tissue based biomarkers in non-clear cell RCC: Correlative analysis from the ASPEN clinical trial.

Susan Halabi, Qian Yang, Andrea Carmack, Shiqi Zhang, Wen-Chi Foo, Tim Eisen, Walter M Stadler, Robert J Jones, Jorge A Garcia, Ulka N Vaishampayan and 11 more

Open access · bronzeAbstract read
In one paragraph

Article in Kidney cancer journal : official journal of the Kidney Cancer Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. 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

21 authors at 15 institutions in 3 countries.

Susan HalabiDepartment of Biostatistics and Bioinformatics, Duke University, Durham NC.
Qian YangDepartment of Biostatistics and Bioinformatics, Duke University, Durham NC.
Andrea CarmackDepartment of Biostatistics and Bioinformatics, Duke University, Durham NC.
Shiqi ZhangDepartment of Biostatistics and Bioinformatics, Duke University, Durham NC.
Wen-Chi FooDepartment of Biostatistics and Bioinformatics, Duke University, Durham NC.
Tim EisenUniversity of Cambridge, Cambridge, United Kingdom.
Walter M StadlerUniversity of Chicago, Chicago, IL USA.
Robert J JonesUniversity of Glasgow, The Beatson West of Scotland Cancer Centre, Glasgow, United Kingdom.
Jorge A GarciaCleveland Clinic, Cleveland, OH USA.
Ulka N VaishampayanUniversity of Michigan, Ann Arbor/Karmanos Cancer Institute, Wayne State University, Detroit, MI USA.
Joel PicusWashington University in St. Louis, St. Louis, MO USA.
Robert E HawkinsChristie Cancer Research Centre, Manchester, United Kingdom.
John D HainsworthSarah Cannon Research Institute, Nashville, TN USA.
Christian K KollmannsbergerBC Cancer Agency, Vancouver Cancer Centre, Vancouver, BC Canada.
Theodore F LoganIndiana University Melvin and Bren Simon Cancer Center, Indianapolis, IN USA.
Igor PuzanovVanderbilt University Medical Center, Nashville, TN USA.
Lisa M PickeringRoyal Marsden Hospital, London, United Kingdom.
Christopher W RyanOregon Health & Science University, OHSU Knight Cancer Institute, Portland, OR USA.
Andrew ProtheroeUniversity of Oxford Medical Oncology Department, Oxford, United Kingdom.
Daniel J GeorgeDuke University and the Duke Cancer Institute Center for Prostate and Urologic Cancers, Durham, NC.
Andrew J ArmstrongDuke University and the Duke Cancer Institute Center for Prostate and Urologic Cancers, Durham, NC.
Duke University · USBC Cancer Agency · CABeatson West of Scotland Cancer Centre · GBCancer Research UK · GBCleveland Clinic · USDuke Cancer InstituteIndiana University – Purdue University Indianapolis · USOregon Health & Science University · USRoyal Marsden Hospital · GBSarah Cannon · USUniversity of Cambridge · GBUniversity of Chicago · USUniversity of Oxford · GBVanderbilt University Medical Center · USWashington University in St. Louis · US

Funding

Women's Cancer Research ProgramP30CA014236 · NCI · DUKE UNIVERSITY · PI JOHN N. NORTON · 1985 to 2026
$174.8M
Viral Vector Technology (VVTSR)P30CA021765 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI CHARLES ROBERTS · 1985 to 2026
$166.9M
Cancer Research UK 25355NCI NIH HHS P30 CA014236NCI NIH HHS P30 CA021765
6 · The paper itself

Abstract

Biomarkers are needed in patients with non-clear cell renal cell carcinomas (NC-RCC), particularly papillary renal cell carcinoma, in order to inform on initial treatment selection and identify potentially novel targets for therapy. We enrolled 108 patients in ASPEN, an international randomized open-label phase 2 trial of patients with metastatic papillary, chromophobe, or unclassified NC-RCC treated with the mTOR inhibitor everolimus (n=57) or the vascular endothelial growth factor (VEGF) receptor inhibitor sunitinib (n=51), stratified by MSKCC risk and histology. The primary endpoint was overall survival (OS) and secondary efficacy endpoints for this exploratory biomarker analysis were radiographic progression-free survival (rPFS) defined by intention-to-treat using the RECIST 1.1 criteria and radiographic response rates. Tissue biomarkers (n=78) of mTOR pathway activation (phospho-S6 and -Akt, c-kit) and VEGF pathway activation (HIF-1α, c-MET) were prospectively explored in tumor tissue by immunohistochemistry prior to treatment and associated with clinical outcomes. We found that S6 activation was more common in poor risk NC-RCC tumors and S6/Akt activation was associated with worse PFS and OS outcomes with both everolimus and sunitinib, while c-kit was commonly expressed in chromophobe tumors and associated with improved outcomes with both agents. C-MET was commonly expressed in papillary tumors and was associated with lower rates of radiographic response but did not predict PFS for either agent. In multivariable analysis, both pAkt and c-kit were statistically significant prognostic biomarkers of OS. No predictive biomarkers of treatment response were identified for clinical outcomes. Most biomarker subgroups had improved outcomes with sunitinib as compared to everolimus.

Identifiers

PMID34765076
PMCPMC8580377
OpenAlexW3207058551

What OpenQuestion holds

Textmetadata
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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.