Evidence map›Paper›PMID 32029828›Full record

ArticleScientific reports2020

Identification of gene signature for treatment response to guide precision oncology in clear-cell renal cell carcinoma.

Ninadh M D'Costa, Davide Cina, Raunak Shrestha, Robert H Bell, Yen-Yi Lin, Hossein Asghari, Cesar U Monjaras-Avila, Christian Kollmannsberger, Faraz Hach, Claudia I Chavez-Munoz and 1 more

Open access · goldAbstract readValidation Study
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.0field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 23 citations in OpenAlex.

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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

11 authors at 4 institutions in 1 country.

Ninadh M D'CostaDepartment of Urologic Sciences, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.ORCID http://orcid.org/0000-0001-5369-4673
Davide CinaDepartment of Urologic Sciences, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.
Raunak ShresthaDepartment of Urologic Sciences, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.ORCID http://orcid.org/0000-0002-1144-1413
Robert H BellDepartment of Urologic Sciences, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.
Yen-Yi LinDepartment of Urologic Sciences, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.
Hossein AsghariVancouver Prostate Centre, Vancouver, BC, Canada.
Cesar U Monjaras-AvilaDepartment of Urologic Sciences, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.ORCID http://orcid.org/0000-0001-5752-8875
Christian KollmannsbergerVancouver Prostate Centre, Vancouver, BC, Canada.
Faraz HachDepartment of Urologic Sciences, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.
Claudia I Chavez-MunozDepartment of Urologic Sciences, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.
Alan I SoDepartment of Urologic Sciences, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada. dralanso@mail.ubc.ca.
University of British Columbia · CABC Cancer Agency · CASimon Fraser University · CAUniversity of British Columbia Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clear-cell renal cell carcinoma (ccRCC) is a common therapy resistant disease with aberrant angiogenic and immunosuppressive features. Patients with metastatic disease are treated with targeted therapies based on clinical features: low-risk patients are usually treated with anti-angiogenic drugs and intermediate/high-risk patients with immune therapy. However, there are no biomarkers available to guide treatment choice for these patients. A recently published phase II clinical trial observed a correlation between ccRCC patients' clustering and their response to targeted therapy. However, the clustering of these groups was not distinct. Here, we analyzed the gene expression profile of 469 ccRCC patients, using featured selection technique, and have developed a refined 66-gene signature for improved sub-classification of patients. Moreover, we have identified a novel comprehensive expression profile to distinguish between migratory stromal and immune cells. Furthermore, the proposed 66-gene signature was validated using a different cohort of 64 ccRCC patients. These findings are foundational for the development of reliable biomarkers that may guide treatment decision-making and improve therapy response in ccRCC patients.

Indexed as

Angiogenesis InhibitorsAntineoplastic Agents, ImmunologicalBiomarkers, TumorCarcinoma, Renal CellClinical Decision-MakingCluster AnalysisCohort StudiesDatasets as TopicFeasibility StudiesFemaleGene Expression ProfilingHumansKidney NeoplasmsMaleMedical OncologyMiddle AgedAngiogenesis InhibitorsAntineoplastic Agents, ImmunologicalBiomarkers, Tumor

Identifiers

PMID32029828
PMCPMC7005147
OpenAlexW3004493480

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.