Evidence map›Paper›PMID 36302222›Full record

ArticleCancer discovery2023

Senescence Rewires Microenvironment Sensing to Facilitate Antitumor Immunity.

Hsuan-An Chen, Yu-Jui Ho, Riccardo Mezzadra, Jose M Adrover, Ryan Smolkin, Changyu Zhu, Katharina Woess, Nicholas Bernstein, Georgia Schmitt, Linda Fong and 10 more

Open access · hybridAbstract readEditorialComment
In one paragraph

Article in Cancer discovery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 156 papers.

0numbers the graph read from it
0cells of the map it votes in
156citing papers in PubMed
23.6field-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

156 citing papers in PubMed, 212 citations in OpenAlex.

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96 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 4 institutions in 2 countries.

Hsuan-An ChenDepartment of Cancer Biology and Genetics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-8979-3670
Yu-Jui Ho *Department of Cancer Biology and Genetics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-7540-024X
Riccardo Mezzadra *Department of Cancer Biology and Genetics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-7737-8461
Jose M AdroverCold Spring Harbor Laboratory, Cold Spring Harbor, New York.ORCID 0000-0002-1395-5477
Ryan SmolkinLouis V. Gerstner Jr. Graduate School of Biomedical Sciences, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-8353-2672
Changyu ZhuDepartment of Cancer Biology and Genetics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0003-3583-3638
Katharina WoessInstitute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.ORCID 0000-0001-6189-2733
Nicholas BernsteinCalico Life Sciences, South San Francisco, California.ORCID 0000-0001-9685-0998
Georgia SchmittCalico Life Sciences, South San Francisco, California.ORCID 0000-0001-7554-9880
Linda FongCalico Life Sciences, South San Francisco, California.ORCID 0000-0001-6833-7185
Wei LuanDepartment of Cancer Biology and Genetics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-9988-0612
Alexandra WuestDepartment of Cancer Biology and Genetics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-7337-8619
Sha TianDepartment of Cancer Biology and Genetics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-5614-8480
Xiang LiDepartment of Cancer Biology and Genetics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-7422-251X
Caroline BroderickDepartment of Cancer Biology and Genetics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-5733-8625
Ronald C HendricksonMicrochemistry and Proteomics Core Laboratory, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-0851-903X
Mikala EgebladCold Spring Harbor Laboratory, Cold Spring Harbor, New York.ORCID 0000-0002-3371-1445
Zhenghao ChenCalico Life Sciences, South San Francisco, California.ORCID 0000-0002-9859-3005
Direna Alonso-CurbeloDepartment of Cancer Biology and Genetics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-6674-3059
Scott W LoweDepartment of Cancer Biology and Genetics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-5284-9650
Memorial Sloan Kettering Cancer Center · USNew York Life Insurance Company (United States) · USCold Spring Harbor Laboratory · USInstitute for Research in Biomedicine · ES

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Single-Cell Biology Shared ResourceP30CA045508 · NCI · COLD SPRING HARBOR LABORATORY · PI David A Tuveson · 1987 to 2026
$118.9M
VIRAL TRANSACTIVATIONP01CA013106 · NCI · COLD SPRING HARBOR LABORATORY · PI William Richard McCombie · 1985 to 2026
$116.8M
Scientific ReagentsP01CA087497 · NCI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI PRIVES, CAROL · 2000 to 2021
$35.4M
Toward development of senolytic CAR T cellsR01AG065396 · NIA · SLOAN-KETTERING INST CAN RESEARCH · PI LOWE, SCOTT W., SADELAIN, MICHEL WJ · 2020 to 2024
$2.7M
Identifying the pro-metastatic mechanisms of neutrophil extracellular trapsR01CA237413 · NCI · JOHNS HOPKINS UNIVERSITY · PI EGEBLAD, MIKALA · 2020 to 2024
$2.6M
LTQ-ORBITRAP VELOS Tandem Mass SpectrometerS10OD010598 · OD · SLOAN-KETTERING INST CAN RESEARCH · PI HENDRICKSON, RONALD CHARLES · 2012 to 2012
$460k
The role and regulation of p53 in obesity-induced liver cancerF32CA257103 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI ZHU, CHANGYU · 2021 to 2023
$210k
Dissecting the mechanisms of immune surveillance and evasion in liver cancerF99CA245797 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI CHEN, HSUAN-AN · 2019 to 2021
$114k
NCI NIH HHS F32 CA257103NCI NIH HHS F99 CA245797NCI NIH HHS P01 CA013106NCI NIH HHS P01 CA087497NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA045508NCI NIH HHS R01 CA237413NIA NIH HHS R01 AG065396NIH HHS S10 OD010598
6 · The paper itself

Abstract

Cellular senescence involves a stable cell-cycle arrest coupled to a secretory program that, in some instances, stimulates the immune clearance of senescent cells. Using an immune-competent liver cancer model in which senescence triggers CD8 T cell-mediated tumor rejection, we show that senescence also remodels the cell-surface proteome to alter how tumor cells sense environmental factors, as exemplified by type II interferon (IFNγ). Compared with proliferating cells, senescent cells upregulate the IFNγ receptor, become hypersensitized to microenvironmental IFNγ, and more robustly induce the antigen-presenting machinery-effects also recapitulated in human tumor cells undergoing therapy-induced senescence. Disruption of IFNγ sensing in senescent cells blunts their immune-mediated clearance without disabling the senescence state or its characteristic secretory program. Our results demonstrate that senescent cells have an enhanced ability to both send and receive environmental signals and imply that each process is required for their effective immune surveillance. SIGNIFICANCE: Our work uncovers an interplay between tissue remodeling and tissue-sensing programs that can be engaged by senescence in advanced cancers to render tumor cells more visible to the adaptive immune system. This new facet of senescence establishes reciprocal heterotypic signaling interactions that can be induced therapeutically to enhance antitumor immunity. See related article by Marin et al., p. 410. This article is highlighted in the In This Issue feature, p. 247.

Indexed as

Cellular SenescenceLiver NeoplasmsCell Cycle CheckpointsHumansInterferon-gammaTumor MicroenvironmentInterferon-gamma

Identifiers

PMID36302222
PMCPMC9901536
OpenAlexW4307504158

What OpenQuestion holds

Textmetadata
LicenceTDM
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.