Evidence map›Paper›PMID 31857723›Full record

ArticleBritish journal of cancer2020

A model combining clinical and genomic factors to predict response to PD-1/PD-L1 blockade in advanced urothelial carcinoma.

Amin H Nassar, Kent W Mouw, Opeyemi Jegede, Atul B Shinagare, Jaegil Kim, Chia-Jen Liu, Mark Pomerantz, Lauren C Harshman, Eliezer M Van Allen, Xiao X Wei and 10 more

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 4 pooled it
9.1field-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

51 citing papers in PubMed, 4 syntheses or guidelines pooled it, 76 citations in OpenAlex.

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  4. Tumor-associated neutrophils suppress CD8British journal of cancer · 2024
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  11. Interferon Epsilon Loss Is Elusive 9p21 Link to Immune-Cold Tumors, Resistant to Immune Checkpoint Therapy, and Endogenous CXCL9/10 Induction.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 5 institutions in 2 countries.

Amin H NassarDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Kent W MouwDepartment of Radiation Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Opeyemi JegedeDepartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
Atul B ShinagareDepartment of Radiology, Brigham and Women's Hospital, Boston, MA, USA.
Jaegil KimThe Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Chia-Jen LiuDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Mark PomerantzDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Lauren C HarshmanDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Eliezer M Van AllenDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Xiao X WeiDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Bradley McGregorDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Atish D ChoudhuryDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Mark A PrestonDivision of Urology, Brigham and Women's Hospital, Boston, MA, USA.
Fei DongDepartment of Pathology, Brigham and Women's Hospital, Boston, MA, USA.
Sabina SignorettiDepartment of Pathology, Brigham and Women's Hospital, Boston, MA, USA.
Neal I LindemanDepartment of Pathology, Brigham and Women's Hospital, Boston, MA, USA.
Joaquim BellmuntDepartment of Medical Oncology, IMIM-Hospital del Mar Medical Research Institute, Barcelona, Spain.
Toni K ChoueiriDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.ORCID http://orcid.org/0000-0002-9201-3217
Guru SonpavdeDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA. GuruP_Sonpavde@dfci.harvard.edu.
David J KwiatkowskiDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA. dk@rics.bwh.harvard.edu.
Dana-Farber Cancer Institute · USBrigham and Women's Hospital · USBroad Institute · USHarvard University · USHospital Del Mar · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn metastatic urothelial carcinoma (mUC), predictive biomarkers that correlate with response to immune checkpoint inhibitors (ICIs) are lacking. Here, we interrogated genomic and clinical features associated with response to ICIs in mUC.

methodsSixty two mUC patients treated with ICI who had targeted tumour sequencing were studied. We examined associations between candidate biomarkers and clinical benefit (CB, any objective reduction in tumour size) versus no clinical benefit (NCB, no change or objective increase in tumour size). Both univariable and multivariable analyses for associations were conducted. A comparator cohort of 39 mUC patients treated with taxanes was analysed by using the same methodology.

resultsNine clinical and seven genomic factors correlated with clinical outcomes in univariable analysis in the ICI cohort. Among the 16 factors, neutrophil-to-lymphocyte ratio (NLR) ≥5 (OR = 0.12, 95% CI, 0.01-1.15), visceral metastasis (OR = 0.05, 95% CI, 0.01-0.43) and single-nucleotide variant (SNV) count < 10 (OR = 0.04, 95% CI, 0.006-0.27) were identified as independent predictors of NCB to ICI in multivariable analysis (c-statistic = 0.90). None of the 16 variables were associated with clinical benefit in the taxane cohort.

conclusionsThis three-factor model includes genomic (SNV count >9) and clinical (NLR <5, lack of visceral metastasis) variables predictive for benefit to ICI but not taxane therapy for mUC. External validation of these hypothesis-generating results is warranted to enable use in routine clinical care.

Indexed as

AdultAgedAged, 80 and overAntineoplastic Agents, ImmunologicalB7-H1 AntigenBiomarkers, TumorCarcinoma, Transitional CellFemaleHumansLymphocyte CountMaleMiddle AgedNeutrophilsProgrammed Cell Death 1 ReceptorUrologic NeoplasmsAntineoplastic Agents, ImmunologicalB7-H1 AntigenBiomarkers, TumorCD274 protein, humanPDCD1 protein, humanProgrammed Cell Death 1 Receptor

Identifiers

PMID31857723
PMCPMC7028947
OpenAlexW2994692693

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.