Evidence map›Paper›PMID 30622105›Full record

Trial reportCancer discovery2019

Transcriptomic Profiling of the Tumor Microenvironment Reveals Distinct Subgroups of Clear Cell Renal Cell Cancer: Data from a Randomized Phase III Trial.

A Ari Hakimi, Martin H Voss, Fengshen Kuo, Alejandro Sanchez, Ming Liu, Briana G Nixon, Lynda Vuong, Irina Ostrovnaya, Ying-Bei Chen, Victor Reuter and 8 more

Abstract readClinical Trial, Phase IIIRandomized Controlled Trial
In one paragraph

Trial report in Cancer discovery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 163 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
163citing papers in PubMed, 1 pooled it
30.2field-weighted citation impact, top 1% 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

163 citing papers in PubMed, 1 synthesis or guideline pooled it, 280 citations in OpenAlex.

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103 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 2 institutions in 1 country.

A Ari Hakimi *Department of Urology, Memorial Sloan Kettering Cancer Center, New York, New York. hakimia@mskcc.org vossm@mskcc.org chant@mskcc.org.
Martin H Voss *Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York. hakimia@mskcc.org vossm@mskcc.org chant@mskcc.org.ORCID 0000-0003-0551-5807
Fengshen Kuo *Immunogenomics and Precision Oncology Platform, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0003-1797-2896
Alejandro SanchezDepartment of Urology, Memorial Sloan Kettering Cancer Center, New York, New York.
Ming LiuImmunology Program, Memorial Sloan Kettering Cancer Center, New York, New York.
Briana G NixonImmunology Program, Memorial Sloan Kettering Cancer Center, New York, New York.
Lynda VuongImmunogenomics and Precision Oncology Platform, Memorial Sloan Kettering Cancer Center, New York, New York.
Irina OstrovnayaDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
Ying-Bei ChenDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-5207-3648
Victor ReuterDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Nadeem RiazImmunogenomics and Precision Oncology Platform, Memorial Sloan Kettering Cancer Center, New York, New York.
Yuan ChengNovartis Oncology, New York, New York.
Parul PatelNovartis Oncology, New York, New York.
Mahtab MarkerNovartis Oncology, New York, New York.
Albert ReisingNovartis Oncology, New York, New York.
Ming O LiImmunology Program, Memorial Sloan Kettering Cancer Center, New York, New York.
Timothy A ChanImmunogenomics and Precision Oncology Platform, Memorial Sloan Kettering Cancer Center, New York, New York. hakimia@mskcc.org vossm@mskcc.org chant@mskcc.org.
Robert J MotzerDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-6925-2327
Memorial Sloan Kettering Cancer Center · USNew York Oncology Hematology · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
UROLOGY ONCOLOGY RESEARCH TRAINING GRANTT32CA082088 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Brett Stewart Carver · 1999 to 2026
$7.1M
NCI NIH HHS P30 CA008748NCI NIH HHS T32 CA082088
6 · The paper itself

Abstract

Metastasis remains the main reason for renal cell carcinoma (RCC)-associated mortality. Tyrosine kinase inhibitors (TKI) impart clinical benefit for most patients with RCC, but the determinants of response are poorly understood. We report an integrated genomic and transcriptomic analysis of patients with metastatic clear cell RCC (ccRCC) treated with TKI therapy and identify predictors of response. Patients in the COMPARZ phase III trial received first-line sunitinib or pazopanib with comparable efficacy. RNA-based analyses revealed four distinct molecular subgroups associated with response and survival. Characterization of these subgroups identified mutation profiles, angiogenesis, and macrophage infiltration programs to be powerful predictors of outcome with TKI therapy. Notably, predictors differed by the type of TKI received. Our study emphasizes the clinical significance of angiogenesis and immune tumor microenvironment and suggests that the critical effects its various aspects have on TKI efficacy vary by agent. This has broad implications for optimizing precision treatment of RCC. SIGNIFICANCE: The determinants of response to TKI therapy in metastatic ccRCC remain unknown. Our study demonstrates that key angiogenic and immune profiles of the tumor microenvironment may affect TKI response. These findings have the potential to inform treatment personalization in patients with RCC.

Indexed as

Carcinoma, Renal CellFemaleGene Expression ProfilingHumansKidney NeoplasmsMaleTumor Microenvironment

Identifiers

PMID30622105
PMCPMC6697163
OpenAlexW2910857268

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.