Evidence map›Paper›PMID 27540511›Full record

ArticleTranslational cancer research2016

Precision Oncology: Identifying Predictive Biomarkers for the Treatment of Metastatic Renal Cell Carcinoma.

Parth K Modi, Nicholas J Farber, Eric A Singer

Open access · hybridAbstract read
In one paragraph

Article in Translational cancer research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

17 citing papers in PubMed, 25 citations in OpenAlex.

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  10. Data-Driven Methods for Advancing Precision Oncology.Current pharmacology reports · 2018
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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

3 authors at 3 institutions in 1 country.

Parth K ModiDivision of Urology, Rutgers Robert Wood Johnson Medical School, Section of Urologic Oncology, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA.
Nicholas J FarberDivision of Urology, Rutgers Robert Wood Johnson Medical School, Section of Urologic Oncology, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA.
Eric A SingerDivision of Urology, Rutgers Robert Wood Johnson Medical School, Section of Urologic Oncology, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA.
Johnson University · USRutgers Cancer Institute of New JerseyRutgers, The State University of New Jersey · US

Funding

TRANSCRIPTIONAL PROFILINGP30CA072720 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI Chang S Chan · 1997 to 2026
$94.5M
NCI NIH HHS P30 CA072720
6 · The paper itself

Abstract

The recent FDA approval of multiple new pharmaceutical agents for metastatic renal cell carcinoma (RCC) has left physicians with several options for first- and second- line therapy. With limited head-to-head comparisons, however, there is a paucity of evidence to recommend the use of one agent over another. To address this knowledge gap, Voss et al. identified serum biomarkers from specimens collected during the RECORD-3 trial, a comparative study of first-line sunitinib versus first-line everolimus. Of the biomarkers identified, the 5 most strongly associated with first-line everolimus progression-free survival (PFS1L) were combined to form a composite biomarker score (CBS). The CBS was significantly associated with everolimus PFS1L in multivariate regression analysis. This study is an example of the additional value offered by a randomized trial with prospective biospecimen collection and a significant step towards identifying predictive biomarkers for the treatment of metastatic RCC. As further comparative trials are performed, it will be essential that biomarkers are appropriately identified and validated in order to further the goal of precision oncology.

Indexed as

BiomarkerCarcinomaRenal Cell

Identifiers

PMID27540511
PMCPMC4986829
OpenAlexW2444538637

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.