Evidence map›Paper›PMID 37769157›Full record

ReviewCancer immunology research2023

Considerations and Approaches for Cancer Immunotherapy in the Aging Host.

Carlos O Ontiveros, Clare E Murray, Grace Crossland, Tyler J Curiel

Open access · greenAbstract readReview
In one paragraph

Review in Cancer immunology research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.2field-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

11 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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  5. Review
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  10. Article
  11. The influence of diabetes mellitus on blood vessels' amounts and immune status in case of breast cancer.Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie
    Article
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

4 authors at 2 institutions in 1 country.

Carlos O Ontiveros *UT Health San Antonio Long School of Medicine and Graduate School of Biomedical Sciences, The University of Texas, San Antonio, Texas.ORCID 0000-0002-6079-5971
Clare E Murray *UT Health San Antonio Long School of Medicine and Graduate School of Biomedical Sciences, The University of Texas, San Antonio, Texas.ORCID 0000-0003-2595-4436
Grace CrosslandGraduate School of Microbiology and Immunology, Dartmouth College, Hanover, New Hampshire.ORCID 0000-0002-6537-2484
Tyler J CurielUT Health San Antonio Long School of Medicine and Graduate School of Biomedical Sciences, The University of Texas, San Antonio, Texas.ORCID 0000-0001-6962-9411
Dartmouth College · USThe University of Texas Health Science Center at San Antonio · US

Funding

TISSUE CULTURE---COREP30CA054174 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Lei Zheng · 1991 to 2026
$59.1M
(PQ2) PD-L1/PD-1 signals in aged hosts undergoing cancer immunotherapyR01CA231325 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI CURIEL, TYLER J., SHEN-ORR, SHAI SHLOMO · 2018 to 2022
$3.1M
Bladder cancer PD-L1 control of homologous recombination: Basic mechanisms applied to novel treatmentsR01CA268641 · NCI · DARTMOUTH-HITCHCOCK CLINIC · PI Tyler J. Curiel, WEIXING Wilson ZHAO · 2022 to 2026
$2.5M
Adipocyte PD-L1 in the Breast Tumor MicroenvironmentR01CA279566 · NCI · GEORGE WASHINGTON UNIVERSITY · PI Tyler J. Curiel, YANFEN HU · 2024 to 2026
$2.0M
South Texas Medical Scientist Training Program (STX-MSTP)T32GM113896 · NIGMS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI CAVAZOS, JOSE E · 2018 to 2022
$1.1M
Graduate Research in Immunology Program (GRIP): To train graduate students for successful careers in academia, industry and governmentT32AI138944 · NIAID · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI ZHONG, GUANGMING · 2018 to 2022
$561k
The role of tumor cell-of-origin-specific PDL1 on tumorigenesis and tumor progressionF31CA281345 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Carlos Oscar Ontiveros · 2023 to 2026
$174k
NCI NIH HHS F31 CA281345NCI NIH HHS P30 CA054174NCI NIH HHS R01 CA231325NCI NIH HHS R01 CA268641NCI NIH HHS R01 CA279566NIAID NIH HHS T32 AI138944NIGMS NIH HHS T32 GM113896
6 · The paper itself

Abstract

Advances in cancer immunotherapy are improving treatment successes in many distinct cancer types. Nonetheless, most tumors fail to respond. Age is the biggest risk for most cancers, and the median population age is rising worldwide. Advancing age is associated with manifold alterations in immune cell types, abundance, and functions, rather than simple declines in these metrics, the consequences of which remain incompletely defined. Our understanding of the effects of host age on immunotherapy mechanisms, efficacy, and adverse events remains incomplete. A deeper understanding of age effects in all these areas is required. Most cancer immunotherapy preclinical studies examine young subjects and fail to assess age contributions, a remarkable deficit given the known importance of age effects on immune cells and factors mediating cancer immune surveillance and immunotherapy efficacy. Notably, some cancer immunotherapies are more effective in aged versus young hosts, while others fail despite efficacy in the young. Here, we review our current understanding of age effects on immunity and associated nonimmune cells, the tumor microenvironment, cancer immunotherapy, and related adverse effects. We highlight important knowledge gaps and suggest areas for deeper enquiries, including in cancer immune surveillance, treatment response, adverse event outcomes, and their mitigation.

Indexed as

AgingNeoplasmsAgedHumansImmunologic SurveillanceImmunotherapyTreatment OutcomeTumor Microenvironment

Identifiers

PMID37769157
PMCPMC11287796
OpenAlexW4387129127

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.