Evidence map›Paper›PMID 35433941›Full record

ArticleAnnals of translational medicine2022

Identification of molecular subtypes premised on the characteristics of immune infiltration of endometrial cancer.

Cong Liu, Yan Zhang, Chen Hang

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

3 authors at 1 institution in 1 country.

Cong LiuDepartment of Gynaecology and Obstetrics, The Affiliated Wuxi Maternity and Child Health Care Hospital of Nanjing Medical University, Wuxi, China.
Yan ZhangDepartment of Gynaecology and Obstetrics, The Affiliated Wuxi Maternity and Child Health Care Hospital of Nanjing Medical University, Wuxi, China.
Chen HangDepartment of Gynaecology and Obstetrics, The Affiliated Wuxi Maternity and Child Health Care Hospital of Nanjing Medical University, Wuxi, China.
Nanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Tumor-infiltrating immune cells are instrumental in the spread, resurgence, metastasis, and immunotherapy responsiveness of endometrial cancer (EC), which is a prevalent, malignant gynecologic tumor with a dismal prognosis. Many questions remain about the safety and effectiveness of immunotherapy, so we investigated both the patients' immunological condition and the molecular subtypes of EC. Methods: Relevant data sets were collected from the The Cancer Genome Atlas (TCGA), and the CIBERSORT and ESTIMATE methods were used to assess the immune microenvironment and immune cell infiltration (ICI) in uterine corpus EC (UCEC) tumors. Using the immunophenoscore (IPS), the differentially expressed genes between low and high IPS were identified, and the immune gene subtypes of UCEC were further explored. Based on the main effect genes among the immune molecular subtypes, a tumor ICI scoring model was constructed. Results: There was individual heterogeneity in the characteristics of ICI in the tumor samples, and these characteristics were associated with overall survival (OS). The IPS was quantified by the pattern of gene differential expression, and five immune molecular subtypes were constructed. The levels of PD1/PD-L1 expression in these subtypes showed significant differences, and there were also differences in gene mutation profiles between low- and high-ICI scores. Conclusions: The ICI score of UCEC samples can be used to predict the benefit of immunotherapy.

Indexed as

Endometrial cancer (EC)immune cell infiltration (ICI)prognosisThe Cancer Genome Atlas (TCGA)

Identifiers

PMID35433941
PMCPMC9011277
OpenAlexW4224267005

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.