Evidence map›Paper›PMID 35303066›Full record

ArticleCancer immunology research2022

Targeting the PSGL-1 Immune Checkpoint Promotes Immunity to PD-1-Resistant Melanoma.

Julia M DeRogatis, Karla M Viramontes, Emily N Neubert, Monique L Henriquez, Christian F Guerrero-Juarez, Roberto Tinoco

Open access · bronzeAbstract read
In one paragraph

Article in Cancer immunology research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.9field-weighted citation impact, top 7% 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, 28 citations in OpenAlex.

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  14. Unraveling the genetic associations between PD-1/PD-L1 and 13 circulating biomarkers linked to physiological and pathological processes.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
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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

6 authors at 1 institution in 1 country.

Julia M DeRogatisDepartment of Molecular Biology and Biochemistry, School of Biological Sciences, University of California, Irvine, California.
Karla M Viramontes *Department of Molecular Biology and Biochemistry, School of Biological Sciences, University of California, Irvine, California.
Emily N Neubert *Department of Molecular Biology and Biochemistry, School of Biological Sciences, University of California, Irvine, California.ORCID 0000-0002-7577-2801
Monique L HenriquezDepartment of Molecular Biology and Biochemistry, School of Biological Sciences, University of California, Irvine, California.
Christian F Guerrero-JuarezDepartment of Developmental and Cell Biology, University of California, Irvine, California.ORCID 0000-0002-6245-6412
Roberto TinocoDepartment of Molecular Biology and Biochemistry, School of Biological Sciences, University of California, Irvine, California.ORCID 0000-0001-5420-9692
University of California, Irvine · US

Funding

Univ.of Calif., Irvine Cancer Center Support GrantP30CA062203 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Christine Hui · 1994 to 2026
$57.9M
MINORITY BIOMEDICAL RESEARCHERS PROGRAMR25GM055246 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI MOTA-BRAVO, LUIS M · 1996 to 2022
$15.3M
CARCINOGENESIST32CA009054 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI EDINGER, AIMEE L, FRUMAN, DAVID ALEXANDER · 1985 to 2025
$8.6M
Virus-host interactions: a multi-scale training programT32AI007319 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI SEMLER, BERT L, SHI, YONGSHENG · 1988 to 2024
$2.4M
PSGL-1 mechanisms of T cell exhaustionR01AI137239 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI TINOCO, ROBERTO · 2019 to 2024
$2.1M
T32 for Training in Microbiology & Infectious DiseasesT32AI141346 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI Celia Goulding, Melissa Bruckner Lodoen · 2019 to 2026
$1.0M
Howard Hughes Medical InstituteNCI NIH HHS P30 CA062203NCI NIH HHS T32 CA009054NIAID NIH HHS R01 AI137239NIAID NIH HHS T32 AI007319NIAID NIH HHS T32 AI141346NIGMS NIH HHS R25 GM055246
6 · The paper itself

Abstract

Immune-checkpoint inhibitors have had impressive efficacy in some patients with cancer, reinvigorating long-term durable immune responses against tumors. Despite the clinical success of these therapies, most patients with cancer continue to be unresponsive to these treatments, highlighting the need for novel therapeutic options. Although P-selectin glycoprotein ligand-1 (PSGL-1) has been shown to inhibit immune responses in a variety of disease models, previous work has yet to address whether PSGL-1 can be targeted therapeutically to promote antitumor immunity. Using an aggressive melanoma tumor model, we targeted PSGL-1 in tumor-bearing mice and found increased effector CD4+ and CD8+ T-cell responses and decreased regulatory T cells (Treg) in tumors. T cells exhibited increased effector function, activation, and proliferation, which delayed tumor growth in mice after anti-PSGL-1 treatment. Targeting PD-1 in PSGL-1-deficient, tumor-bearing mice led to an increased frequency of mice with complete tumor eradication. Targeting both PSGL-1 and PD-1 in wild-type tumor-bearing mice also showed enhanced antitumor immunity and slowed melanoma tumor growth. Our findings showed that therapeutically targeting the PSGL-1 immune checkpoint can reinvigorate antitumor immunity and suggest that targeting PSGL-1 may represent a new therapeutic strategy for cancer treatment.

Indexed as

MelanomaProgrammed Cell Death 1 ReceptorAnimalsCell Line, TumorHumansImmune Checkpoint InhibitorsMembrane GlycoproteinsMiceMice, Inbred C57BLImmune Checkpoint InhibitorsMembrane GlycoproteinsProgrammed Cell Death 1 ReceptorP-selectin ligand protein

Identifiers

PMID35303066
PMCPMC9064985
OpenAlexW4220682839

What OpenQuestion holds

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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.