Evidence map›Paper›PMID 36571924›Full record

ArticleDrug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy2023

Single-cell transcriptional profiling uncovers the association between EOMES

Guosheng Wang, Jiaxing Sun, Jing Zhang, Qiping Zhu, Jingjing Lu, Shaoyong Gao, Feilong Wang, Qi Yin, Yuan Wan, Qiang Li

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Drug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

13 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Review
  3. Immune cell metabolism in cancer drug resistance: Advances in target discovery and clinical translation.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2025
    Article
  4. The mechanisms and clinical significance of CD8Cancer biology & medicine · 2025
    Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Overcoming EGFR-TKI resistance by targeting the tumor microenvironment.Chinese medical journal pulmonary and critical care medicine · 2024
    Review
  10. Review
  11. Review
  12. MYC expression and fatty acid oxidation in EGFR-TKI acquired resistance.Drug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy · 2024
    Article
  13. Review
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

10 authors at 3 institutions in 2 countries.

Guosheng WangDepartment of Pulmonary and Critical Care Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China; The Pq Laboratory of Micro/Nano BiomeDx, Department of Biomedical Engineering, Binghamton University-SUNY, Binghamton, NY 13902, United States. Electronic address: gswang@tongji.edu.cn.
Jiaxing SunDepartment of Respiratory and Critical Care Medicine, The Affiliated Hospital of Qingdao University, Qingdao, China.
Jing ZhangDepartment of Pulmonary and Critical Care Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China.
Qiping ZhuDepartment of Pathology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China.
Jingjing LuDepartment of Pulmonary and Critical Care Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China.
Shaoyong GaoDepartment of Pulmonary and Critical Care Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China.
Feilong WangDepartment of Pulmonary and Critical Care Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China. Electronic address: wang_feilong@tongji.edu.cn.
Qi YinDepartment of Pulmonary and Critical Care Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China. Electronic address: yvonneyinqi2019@126.com.
Yuan WanThe Pq Laboratory of Micro/Nano BiomeDx, Department of Biomedical Engineering, Binghamton University-SUNY, Binghamton, NY 13902, United States. Electronic address: ywan@binghamton.edu.
Qiang LiDepartment of Pulmonary and Critical Care Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai 200120, China. Electronic address: liqressh@hotmail.com.
Shanghai East Hospital · CNBinghamton University · USQingdao University · CN

Funding

Liquid biopsy of solitary pulmonary nodule with extracellular vesiclesR37CA255948 · NCI · STATE UNIVERSITY OF NY,BINGHAMTON · PI Yuan Wan · 2021 to 2026
$3.0M
Lipid nanoprobe integrated microdevice for extracellular vesicle isolation and duplex sequencing based mutation detection for non-invasive lung cancer diagnosisR01CA230339 · NCI · PENNSYLVANIA STATE UNIVERSITY, THE · PI ZHENG, SIYANG · 2018 to 2023
$1.9M
NCI NIH HHS R01 CA230339NCI NIH HHS R37 CA255948
6 · The paper itself

Abstract

Acquired resistance to tyrosine kinase inhibitors (TKIs) is reportedly inevitable in lung cancers harboring epidermal growth factor receptor (EGFR) mutations, emphasizing the need for novel approaches to predict EGFR-TKI resistance for clinical monitoring and patient management. This study identified a significant increase in eomesodermin (EOMES)

Indexed as

CD8-Positive T-LymphocytesLung NeoplasmsDrug Resistance, NeoplasmErbB ReceptorsHumansMutationProtein Kinase InhibitorsT-Box Domain ProteinsEGFR protein, humanEOMES protein, humanErbB ReceptorsProtein Kinase InhibitorsT-Box Domain ProteinsBiomarkerEGFR-TKI resistanceEOMESLung cancerSingle-cell analysis

Identifiers

PMID36571924
PMCPMC9852091
OpenAlexW4311543809

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.