Evidence map›Paper›PMID 36998223›Full record

ArticleJournal of gynecologic oncology2023

Th2 cells infiltrating high-grade serous ovarian cancer: a feature that may account for the poor prognosis.

Hao Su, Yueqi Jin, Changyu Tao, Hua Yang, Ence Yang, Wei-Guang Zhang, Fengzhi Feng

Abstract read
In one paragraph

Article in Journal of gynecologic oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. CD4Trends in cancer · 2024
    Review
  8. Article
  9. Review
  10. 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

7 authors.

Hao Su *Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.ORCID 0000-0003-0519-6471
Yueqi Jin *Department of Medical Bioinformatics, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.ORCID 0000-0003-0225-6512
Changyu TaoDepartment of Human Anatomy, Histology & Embryology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.ORCID 0000-0001-7333-6822
Hua YangDepartment of Obstetrics and Gynecology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.ORCID 0000-0002-3624-175X
Ence YangDepartment of Medical Bioinformatics, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.ORCID 0000-0002-9526-2737
Wei-Guang ZhangDepartment of Human Anatomy, Histology & Embryology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China. zhangwg@bjmu.edu.cn.ORCID 0000-0001-5055-4907
Fengzhi FengDepartment of Obstetrics and Gynecology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China. fengfz1969@sina.com.ORCID 0000-0001-9803-9402

Funding

Natural Science Foundation of Beijing Municipality 7202165Nonprofit Central Research Institute Fund of Chinese Academy of Medical Sciences 2020-PT320-003
6 · The paper itself

Abstract

objectiveWe aimed to investigate the differences of transcriptome profile between 2 groups of high-grade serous ovarian cancer (HGSOC) patients with distinct outcomes and identify potential biomarkers for recurrence.

methodsRNA sequencing was performed in 2 groups of HGSOC patients with similar demographic characteristics but exhibiting distinct progression-free survival (PFS). Transcriptome data of poor response (PR; PFS ≤6 months) and good response (GR; PFS ≥12 months) group were compared. We employed xCell to evaluate the abundance of 63 cells in tumor microenvironment. The predictive value of recurrence-related tumor infiltration cells was validated in cohort data from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) dataset. The weighted correlation network analysis was performed to identify the genes related to cell infiltration.

resultsPR patients exhibited a distinct tumor infiltration immune cells-related transcriptional profile compared to GR patients, such as lower signatures of leukocyte differentiation, activation and chemotaxis. The fraction of T-helper 2 (Th2) cells infiltration was significantly higher in PR group than in GR group. High infiltration of Th2 was significantly associated with unfavorable prognosis in the GEO cohort (area under the curve=0.84 at 6 months recurrence) and TCGA cohort (p=0.008). Genes enriched to extracellular matrix organization and integrin binding were relevant to Th2 infiltration.

conclusionPatients with HGSOC having shorter PFS exhibited a distinct gene signature that related to tumor-infiltrating immune cells. The level of Th2 infiltration could facilitate patient recurrence risk stratification and may be a promising biomarker for prognosis prediction and immune-related treatment.

Indexed as

Ovarian NeoplasmsBiomarkers, TumorFemaleHumansNeoplasm Recurrence, LocalPrognosisTh2 CellsTumor MicroenvironmentBiomarkers, TumorOvarian CancerRecurrenceTh2 CellsTranscriptomeTumor-infiltrating Lymphocytes

Identifiers

PMID36998223
PMCPMC10323303

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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.