Evidence map›Paper›PMID 28522460›Full record

ArticleCancer immunology research2017

Soluble PD-L1 as a Biomarker in Malignant Melanoma Treated with Checkpoint Blockade.

Jun Zhou, Kathleen M Mahoney, Anita Giobbie-Hurder, Fengmin Zhao, Sandra Lee, Xiaoyun Liao, Scott Rodig, Jingjing Li, Xinqi Wu, Lisa H Butterfield and 6 more

Abstract readClinical Trial, Phase I
In one paragraph

Article in Cancer immunology research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 231 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
231citing papers in PubMed, 8 pooled it
–field-weighted citation impact
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

231 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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  6. Predictive Performance of Serum S100BFrontiers in oncology · 2021
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171 more citing papers are in PubMed but not listed here.

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

16 authors.

Jun ZhouDepartment of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
Kathleen M MahoneyDepartment of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
Anita Giobbie-HurderCenter for Immuno-oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
Fengmin ZhaoDepartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Sandra LeeDepartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Xiaoyun LiaoCenter for Immuno-oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
Scott RodigCenter for Immuno-oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
Jingjing LiDepartment of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
Xinqi WuDepartment of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
Lisa H ButterfieldDepartment of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Matthias PiescheDepartment of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
Michael P ManosMelanoma Disease Center, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
Lauren M EastmanMelanoma Disease Center, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
Glenn DranoffNovartis Institutes for BioMedical Research, Cambridge, Massachusetts.
Gordon J FreemanDepartment of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
F Stephen HodiDepartment of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts. stephen_hodi@dfci.harvard.edu.

Funding

Project-006U10CA180820 · NCI · ECOG-ACRIN MEDICAL RESEARCH FOUNDATION · PI Peter J ODwyer, MITCHELL D. SCHNALL · 2014 to 2026
$167.6M
ECOG OPERATIONS OFFICE (IBCSG)U10CA021115 · NCI · UNIVERSITY OF WISCONSIN MADISON · PI COMIS, ROBERT L · 1985 to 2013
$132.6M
Statistics CoreU10CA180794 · NCI · DANA-FARBER CANCER INST · PI PAUL J CATALANO, CONSTANTINE A. GATSONIS · 2014 to 2026
$111.2M
Treating the P13-Kinase/AKTP50CA101942 · NCI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Wanling Xie · 2003 to 2026
$53.4M
ECOG-ACRIN Biospecimen Bank to Support NCTNU24CA196172 · NCI · ECOG-ACRIN MEDICAL RESEARCH FOUNDATION · PI STANLEY R. HAMILTON, Scott D Jewell · 2015 to 2026
$41.1M
ECOG Statistical Office Data Management GrantU10CA066636 · NCI · FRONTIER SCI &TECHNOLOGY RSCH FDN, INC · PI GRAY, ROBERT J · 1994 to 2013
$39.5M
PROVIDE STATISTICAL SERVICESU10CA023318 · NCI · DANA-FARBER CANCER INSTITUTE · PI GRAY, ROBERT J · 1985 to 2013
$33.4M
NCTN Lead Academic Participating Site at Dana-Farber/Partners Cancer CareU10CA180867 · NCI · DANA-FARBER CANCER INST · PI BURSTEIN, HAROLD JOHN, KIBEL, ADAM S · 2014 to 2018
$6.2M
NCI NCTN-Network Lead Academic Site at UPCIU10CA180844 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BRUFSKY, ADAM M, EDWARDS, ROBERT PAGE · 2014 to 2018
$4.5M
ONCOLOGYU10CA039229 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KIRKWOOD, JOHN MUNN · 1985 to 2013
$3.3M
Bevacizumab plus Ipilimumab in Unresectable Stage III or Stage IV MelanomaR21CA143832 · NCI · DANA-FARBER CANCER INST · PI HODI, FRANK S · 2010 to 2011
$656k
NCI NIH HHS P50 CA101942NCI NIH HHS R21 CA143832NCI NIH HHS U10 CA021115NCI NIH HHS U10 CA023318NCI NIH HHS U10 CA039229NCI NIH HHS U10 CA066636NCI NIH HHS U10 CA180794NCI NIH HHS U10 CA180820NCI NIH HHS U10 CA180844NCI NIH HHS U10 CA180867NCI NIH HHS U24 CA196172
6 · The paper itself

Abstract

Blockade of the pathway including programmed death-ligand 1 (PD-L1) and its receptor programmed cell death protein 1 (PD-1) has produced clinical benefits in patients with a variety of cancers. Elevated levels of soluble PD-L1 (sPD-L1) have been associated with worse prognosis in renal cell carcinoma and multiple myeloma. However, the regulatory roles and function of sPD-L1 particularly in connection with immune checkpoint blockade treatment are not fully understood. We identified four splice variants of PD-L1 in melanoma cells, and all of them are secreted. Secretion of sPD-L1 resulted from alternate splicing activities, cytokine induction, cell stress, cell injury, and cell death in melanoma cells. Pretreatment levels of sPD-L1 were elevated in stage IV melanoma patient sera compared with healthy donors. High pretreatment levels of sPD-L1 were associated with increased likelihood of progressive disease in patients treated by CTLA-4 or PD-1 blockade. Although changes in circulating sPD-L1 early after treatment could not distinguish responders from those with progressive disease, after five months of treatment by CTLA-4 or PD-1 blockade patients who had increased circulating sPD-L1 had greater likelihood of developing a partial response. Induction of sPD-L1 was associated with increased circulating cytokines after CTLA-4 blockade but not following PD-1 blockade. Circulating sPD-L1 is a prognostic biomarker that may predict outcomes for subgroups of patients receiving checkpoint inhibitors.

Indexed as

Antibodies, Monoclonal, HumanizedAntineoplastic Agents, ImmunologicalAntineoplastic Combined Chemotherapy ProtocolsB7-H1 AntigenBevacizumabBiomarkers, TumorCell Line, TumorCTLA-4 AntigenCytokinesHumansIpilimumabMelanomaProtein IsoformsAntibodies, Monoclonal, HumanizedAntineoplastic Agents, ImmunologicalB7-H1 AntigenBevacizumabBiomarkers, TumorCD274 protein, humanCTLA-4 AntigenCTLA4 protein, humanCytokinesIpilimumabpembrolizumabProtein Isoforms

Identifiers

PMID28522460
PMCPMC5642913

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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.