Evidence map›Paper›PMID 38609378›Full record

ArticleNature communications2024

Systematic investigation of chemo-immunotherapy synergism to shift anti-PD-1 resistance in cancer.

Yue Wang, Dhamotharan Pattarayan, Haozhe Huang, Yueshan Zhao, Sihan Li, Yifei Wang, Min Zhang, Song Li, Da Yang

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Chemoimmunotherapy synergism: mechanisms and clinical applications.Naunyn-Schmiedeberg's archives of pharmacology · 2025
    Review
  10. Article
  11. Review
  12. Article
  13. Chemotherapy Drives Tertiary Lymphoid Structures That Correlate with ICI-Responsive TCF1+CD8+ T Cells in Metastatic Ovarian Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
  14. Article
  15. Article
  16. Targeting CDK2 to combat drug resistance in cancer therapy.Future oncology (London, England) · 2024
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 1 institution in 2 countries.

Yue Wang *Center for Pharmacogenetics, Department of Pharmaceutical Sciences, University of Pittsburgh, Pittsburgh, PA, 15261, USA.
Dhamotharan Pattarayan *Center for Pharmacogenetics, Department of Pharmaceutical Sciences, University of Pittsburgh, Pittsburgh, PA, 15261, USA.ORCID http://orcid.org/0000-0003-4995-1264
Haozhe Huang *Center for Pharmacogenetics, Department of Pharmaceutical Sciences, University of Pittsburgh, Pittsburgh, PA, 15261, USA.
Yueshan ZhaoCenter for Pharmacogenetics, Department of Pharmaceutical Sciences, University of Pittsburgh, Pittsburgh, PA, 15261, USA.
Sihan LiCenter for Pharmacogenetics, Department of Pharmaceutical Sciences, University of Pittsburgh, Pittsburgh, PA, 15261, USA.
Yifei WangCenter for Pharmacogenetics, Department of Pharmaceutical Sciences, University of Pittsburgh, Pittsburgh, PA, 15261, USA.ORCID http://orcid.org/0000-0002-2832-4125
Min ZhangCenter for Pharmacogenetics, Department of Pharmaceutical Sciences, University of Pittsburgh, Pittsburgh, PA, 15261, USA.
Song LiCenter for Pharmacogenetics, Department of Pharmaceutical Sciences, University of Pittsburgh, Pittsburgh, PA, 15261, USA.ORCID http://orcid.org/0000-0003-1658-949X
Da YangCenter for Pharmacogenetics, Department of Pharmaceutical Sciences, University of Pittsburgh, Pittsburgh, PA, 15261, USA. dyang@pitt.edu.ORCID http://orcid.org/0000-0002-8336-9457
University of Pittsburgh · US

Funding

A novel lncRNA-responsive and xenobiotic receptor-mediated regulation of drug metabolism and dispositionR01CA255196 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI YANG, DA · 2021 to 2025
$1.8M
The oncogenic role of EPIC1MYC axis in breast cancerR01CA222274 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI YANG, DA · 2018 to 2022
$1.8M
Enhancer RNAs Boost MYC-Chromatin Interaction to Regulate Gene Expression and TumorigenesisR01CA282704 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Da Yang · 2023 to 2026
$1.6M
LncRNA EPIC1 induces immunotherapy resistance by activating EZH2 in breast cancerR01CA272866 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Da Yang · 2023 to 2026
$1.5M
NCI NIH HHS R01 CA222274NCI NIH HHS R01 CA255196NCI NIH HHS R01 CA272866NCI NIH HHS R01 CA282704
6 · The paper itself

Abstract

Chemo-immunotherapy combinations have been regarded as one of the most practical ways to improve immunotherapy response in cancer patients. In this study, we integrate the transcriptomics data from anti-PD-1-treated tumors and compound-treated cancer cell lines to systematically screen for chemo-immunotherapy synergisms in silico. Through analyzing anti-PD-1 induced expression changes in patient tumors, we develop a shift ability score to measure if a chemotherapy or a small molecule inhibitor treatment can shift anti-PD-1 resistance in tumor cells. By applying shift ability analysis to 41,321 compounds and 16,853 shRNA treated cancer cell lines transcriptomic data, we characterize the landscape of chemo-immunotherapy synergism and experimentally validated a mitochondrial RNA-dependent mechanism for drug-induced immune activation in tumor. Our study represents an effort to mechanistically characterize chemo-immunotherapy synergism and will facilitate future pre-clinical and clinical studies.

Indexed as

ImmunotherapyNeoplasmsCell LineDrug Therapy, CombinationGene Expression ProfilingHumans

Identifiers

PMID38609378
PMCPMC11015024
OpenAlexW4394765997

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.