Evidence map›Paper›PMID 31767020›Full record

ArticleJournal of translational medicine2019

BMI, irAE, and gene expression signatures associate with resistance to immune-checkpoint inhibition and outcomes in renal cell carcinoma.

Brian W Labadie, Ping Liu, Riyue Bao, Michael Crist, Ricardo Fernandes, Laura Ferreira, Scott Graupner, Andrew S Poklepovic, Ignacio Duran, Saman Maleki Vareki and 2 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Journal of translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 5 pooled it
5.4field-weighted citation impact, top 3% 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

24 citing papers in PubMed, 5 syntheses or guidelines pooled it, 42 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

12 authors at 7 institutions in 3 countries.

Brian W LabadieDepartment of Internal Medicine, University of Chicago, Chicago, IL, USA.
Ping LiuDepartment of Public Health Sciences, University of Chicago, Chicago, IL, USA.
Riyue BaoHillman Cancer Center, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Michael CristDivision of Hematology/Oncology, New York University School of Medicine and Langone Medical Center, New York, NY, USA.
Ricardo FernandesDivision of Medical Oncology, Schulich School of Medicine & Dentistry, Western University and London Health Sciences Centre, London, ON, Canada.
Laura FerreiraDivision of Medical Oncology, University Hospital Marques de Valdecilla, Cantabria, Spain.
Scott GraupnerDivision of Hematology/Oncology, Virginia Commonwealth University, Richmond, VA, USA.
Andrew S PoklepovicDivision of Hematology/Oncology, Virginia Commonwealth University, Richmond, VA, USA.
Ignacio DuranDivision of Medical Oncology, University Hospital Marques de Valdecilla, Cantabria, Spain.
Saman Maleki VarekiDivision of Medical Oncology, Schulich School of Medicine & Dentistry, Western University and London Health Sciences Centre, London, ON, Canada.
Arjun V BalarDivision of Hematology/Oncology, New York University School of Medicine and Langone Medical Center, New York, NY, USA.
Jason J LukeHillman Cancer Center, University of Pittsburgh Medical Center, Pittsburgh, PA, USA. lukejj@upmc.edu.ORCID 0000-0002-1182-4908
Marqués de Valdecilla University Hospital · ESNYU Langone Health · USUniversity of Pittsburgh · USVirginia Commonwealth University · USWestern University · CAChicago Department of Public Health · USUniversity of Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical variables may correlate with lack of response to treatment (primary resistance) or clinical benefit in patients with clear cell renal cell carcinoma (ccRCC) treated with anti-programmed death 1/ligand one antibodies.

methodsIn this multi-institutional collaboration, clinical characteristics of patients with primary resistance (defined as progression on initial computed tomography scan) were compared to patients with clinical benefit using Two sample t-test and Chi-square test (or Fisher's Exact test). The Kaplan-Meier method was used to estimate the distribution of progression-free survival (PFS) and overall survival (OS) in all patients and the subsets of patients with clinical benefit or primary resistance. Cox's regression model was used to evaluate the correlation between survival endpoints and variables of interest. To explore clinical factors in a larger, independent patient sample, The Cancer Genome Atlas (TCGA) was analyzed. RNAseq gene expression data as well as demographic and clinical information were downloaded for primary tumors of 517 patients included within TCGA-ccRCC.

resultsOf 90 patients, 38 (42.2%) had primary resistance and 52 (57.8%) had clinical benefit. Compared with the cohort of patients with initial benefit, primary resistance was more likely to occur in patients with worse ECOG performance status (p = 0.03), earlier stage at diagnosis (p = 0.04), had no prior nephrectomy (p = 0.04) and no immune-related adverse events (irAE) (p = 0.02). In patients with primary resistance, improved OS was significantly correlated with lower International Metastatic RCC Database Consortium risk score (p = 0.02) and lower neutrophil:lymphocyte ratio (p = 0.04). In patients with clinical benefit, improved PFS was significantly associated with increased BMI (p = 0.007) and irAE occurrence (p = 0.02) while improved OS was significantly correlated with overweight BMI (BMI 25-30; p = 0.03) and no brain metastasis (p = 0.005). The cohort TCGA-ccRCC was examined for the correlations between gene expression patterns, clinical factors, and survival outcomes observing associations of T-cell inflammation and angiogenesis signatures with histologic grade, pathologic stage and OS.

conclusionsClinical characteristics including performance status, BMI and occurrence of an irAE associate with outcomes in patients with ccRCC treated with immunotherapy. The inverse association of angiogenesis gene signature with ccRCC histologic grade highlight opportunities for adjuvant combination VEGFR2 tyrosine kinase inhibitor and immune-checkpoint inhibition.

Indexed as

Body Mass IndexGene Expression ProfilingGene Expression Regulation, NeoplasticAdolescentAdultAgedAged, 80 and overCarcinoma, Renal CellDatabases, GeneticDisease ProgressionFemaleHumansImmunotherapyKaplan-Meier EstimateKidney NeoplasmsMaleBiomarkersBMIImmune-checkpoint inhibitionImmunotherapyRenal cell carcinoma

Identifiers

PMID31767020
PMCPMC6878694
OpenAlexW2990139923

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.