Evidence map›Paper›PMID 34386017›Full record

ReviewFrontiers in immunology2021

Engineered T Cell Therapy for Gynecologic Malignancies: Challenges and Opportunities.

Yifan Xu, Jin Jiang, Yutong Wang, Wei Wang, Haokun Li, Wenyu Lai, Zhipeng Zhou, Wei Zhu, Zheng Xiang, Zhiming Wang and 5 more

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2021. 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
1.4field-weighted citation impact, top 15% 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, 22 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Review
  6. Epigenetic regulation in gynecological cancers: a paradigm shift in immunotherapy strategies.Journal of experimental & clinical cancer research : CR · 2025
    Review
  7. Review
  8. Review
  9. Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Advances in immunotherapy for cervical cancer.Therapeutic advances in medical oncology · 2023
    Review
  15. Current and future direction in treatment of HPV-related cervical disease.Journal of molecular medicine (Berlin, Germany) · 2022
    Review
  16. 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

15 authors at 7 institutions in 2 countries.

Yifan XuMicrobiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Jin JiangGuangzhou Blood Center, Department of Blood Source Management, Guangzhou, China.
Yutong WangMicrobiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Wei WangDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Haokun LiMicrobiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Wenyu LaiMicrobiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Zhipeng ZhouMicrobiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Wei ZhuHepatology Unit and Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Zheng XiangDepartment of Paediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China.
Zhiming WangState Key Laboratory of Esophageal Cancer Prevention & Treatment, Sino-British Research Center for Molecular Oncology, National Center for International Research in Cell and Gene Therapy, School of Basic Medical Sciences, Academy of Medical Sciences, Zhengzhou University, Zhengzhou, China.
Zhe ZhuHuikezhe Biological Tech. Beijing, R&D Department, Beijing, China.
Lingfeng YuSchool of Basic Medicine Science, Tianjin Medical University, Tianjin, China.
Xiaolan HuangDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Hua ZhengDepartment of Cardiology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Sha WuDepartment of Immunology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
Southern Medical University · CNGuangzhou Medical University · CNGuangzhou Blood Center · CNSino Biological (China) · CNTianjin Medical University · CNUniversity of Hong Kong · HKZhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gynecologic malignancies, mainly including ovarian cancer, cervical cancer and endometrial cancer, are leading causes of death among women worldwide with high incidence and mortality rate. Recently, adoptive T cell therapy (ACT) using engineered T cells redirected by genes which encode for tumor-specific T cell receptors (TCRs) or chimeric antigen receptors (CARs) has demonstrated a delightful potency in B cell lymphoma treatment. Researches impelling ACT to be applied in treating solid tumors like gynecologic tumors are ongoing. This review summarizes the preclinical research and clinical application of engineered T cells therapy for gynecologic cancer in order to arouse new thoughts for remedies of this disease.

Indexed as

AnimalsCell- and Tissue-Based TherapyFemaleGenital Neoplasms, FemaleHumansImmunotherapy, AdoptiveReceptors, Chimeric AntigenT-LymphocytesReceptors, Chimeric Antigenadoptive T cell therapyCAR-Tengineered T cellsgynecologic malignanciesimmunotherapyTCR-T

Identifiers

PMID34386017
PMCPMC8353443
OpenAlexW3185295522

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.