Evidence map›Paper›PMID 32661119›Full record

ArticleJournal for immunotherapy of cancer2020

Correlates of clinical benefit from immunotherapy and targeted therapy in metastatic renal cell carcinoma: comprehensive genomic and transcriptomic analysis.

Nazli Dizman, Yung Lyou, Nicholas Salgia, Paulo Gustavo Bergerot, JoAnn Hsu, Daniel Enriquez, Tyler Izatt, Jeffrey M Trent, Sara Byron, Sumanta Pal

Open access · goldAbstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
8.4field-weighted citation impact, top 2% 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

31 citing papers in PubMed, 73 citations in OpenAlex.

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  18. Fresh Tissue Multi-omics Profiling Reveals Immune Classification and Suggests Immunotherapy Candidates for Conventional Chondrosarcoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021
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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 2 institutions in 1 country.

Nazli Dizman *Medical Oncology and Experimental Therapeutics, City of Hope Comprehensive Cancer Center Duarte, Duarte, California, USA.ORCID 0000-0002-3907-8513
Yung Lyou *Medical Oncology and Experimental Therapeutics, City of Hope Comprehensive Cancer Center Duarte, Duarte, California, USA.
Nicholas SalgiaMedical Oncology and Experimental Therapeutics, City of Hope Comprehensive Cancer Center Duarte, Duarte, California, USA.
Paulo Gustavo BergerotMedical Oncology and Experimental Therapeutics, City of Hope Comprehensive Cancer Center Duarte, Duarte, California, USA.
JoAnn HsuMedical Oncology and Experimental Therapeutics, City of Hope Comprehensive Cancer Center Duarte, Duarte, California, USA.
Daniel EnriquezIntegrated Cancer Genomics Division, Translational Genomics Research Institute, Phoenix, Arizona, USA.
Tyler IzattIntegrated Cancer Genomics Division, Translational Genomics Research Institute, Phoenix, Arizona, USA.
Jeffrey M TrentGenetic Basis of Human Disease Division, Translational Genomics Research Institute, Phoenix, Arizona, USA.
Sara ByronIntegrated Cancer Genomics Division, Translational Genomics Research Institute, Phoenix, Arizona, USA.
Sumanta PalMedical Oncology and Experimental Therapeutics, City of Hope Comprehensive Cancer Center Duarte, Duarte, California, USA spal@coh.org.
City of Hope · USTranslational Genomics Research Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe clinical significance of tumor-specific genomic alterations in metastatic renal cell carcinoma (mRCC) is emerging, with several studies suggesting an association between

methodsConsecutive patients who underwent genomic profiling were identified; patients receiving either VEGF-TKIs or IO were included. Clinical tumor-normal whole exome sequencing and tumor whole transcriptome sequencing test were performed using a Clinical Laboratory Improvement Amendments (CLIA)-certified assay (Ashion Analytics; Phoenix, Arizona, USA). Genomic findings were compared between patients with clinical benefit (CB; complete/partial response or stable disease for >6 months) and no clinical benefit (NCB) in VEGF-TKI-treated patient cohort and IO-treated patient cohort.

results91 patients received genomic profiling and 58 patients received VEGF-TKI and/or IO therapy. 17 received sequenced treatment involving both VEGF-TKI and IO, resulting in 32 patients in the IO cohort and 43 patients in the VEGF-TKI cohort. The most commonly used IO and VEGF-TKIs were nivolumab (66%) and sunitinib (40%). The most frequently detected alterations in the overall cohort were in

conclusionsOur analysis found that

Indexed as

AdultAgedAged, 80 and overCarcinoma, Renal CellGenomicsHumansImmunotherapyKidney NeoplasmsMiddle AgedTranscriptomegenetic markersimmunotherapykidney neoplasmstranslational medical researchtumor biomarkers

Identifiers

PMID32661119
PMCPMC7359179
OpenAlexW3040755687

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.