Evidence map›Paper›PMID 38034609›Full record

ArticleHeliyon2023

Stromal score is a promising index in tumor patients' outcome determination.

Xiaoxian Xu, Yu Xu, Wangxiong Hu, Wenjie Hong, Yichen Wang, Xiaojing Zhang, Xiaoji Fan, Tingzhang Wang, Hanmei Lou, Yanmei Yang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.7field-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

14 citing papers in PubMed, 16 citations in OpenAlex.

  1. Epithelial YPEL3 Modulates CD8Cancer science · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Elevated expression ofFrontiers in molecular biosciences · 2024
    Article
  14. 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

11 authors at 5 institutions in 1 country.

Xiaoxian XuDepartment of Gynecology and Obstetrics, The First Affiliated Hospital, Zhejiang University School of Medicine, NO. 79 Qingchun Road, Shangcheng District, Hangzhou City, 310003, Zhejiang Province, China.
Yu XuJianggao Town Health Center of Baiyun District, Technical Cooperation Hospital of Guangzhou First People's Hospital, Guangzhou, Guangdong, 510460, China.
Wangxiong HuCancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310009, China.
Wenjie HongKey Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province, Hangzhou, China.
Yichen WangDepartment of Gynecologic Radiation, Zhejiang Key Laboratory of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, No. 1 Banshan Road, Gongshu District, Hangzhou City, 310022, Zhejiang Province, China.
Xiaojing ZhangDepartment of Gynecologic Radiation, Zhejiang Key Laboratory of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, No. 1 Banshan Road, Gongshu District, Hangzhou City, 310022, Zhejiang Province, China.
Xiaoji FanKey Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province, Hangzhou, China.
Tingzhang WangKey Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province, Hangzhou, China.
Hanmei LouDepartment of Gynecologic Radiation, Zhejiang Key Laboratory of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, No. 1 Banshan Road, Gongshu District, Hangzhou City, 310022, Zhejiang Province, China.
Yanmei YangKey Laboratory of Reproductive and Genetics, Ministry of Education, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310006, China.
Jianhua QianDepartment of Gynecology and Obstetrics, The First Affiliated Hospital, Zhejiang University School of Medicine, NO. 79 Qingchun Road, Shangcheng District, Hangzhou City, 310003, Zhejiang Province, China.
Zhejiang Cancer Hospital · CNFirst Affiliated Hospital Zhejiang University · CNGuangzhou First People's Hospital · CNWomen's Hospital, School of Medicine, Zhejiang University · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Immune status is widely acknowledged as a valuable marker for predicting cancer prognosis and therapy response. However, there has been a limited understanding of the stromal landscape in cancer. Methods: By employing ESTIMATE, stromal- and immune-scores were inferred for 6193 tumor samples spanning 12 cancer types sourced from The Cancer Genome Atlas (TCGA). Subsequently, the samples were categorized into seven groups based on their stromal and immune scores. A comparison of prognosis, lymphocyte and stromal cell infiltration, and the response to programmed death ligand 1 (PD-L1) therapy was conducted among these subtypes. Results: It was unveiled by the analysis that, in the majority of cancer types, stromal score exhibited a more potent predictive capability for outcomes compared to the immune score. Furthermore, it was observed that in four cancer types, intermediate immune infiltration coupled with low stromal infiltration correlated with the most favorable overall survival, whereas an unfavorable outcome was predicted in colorectal cancer (CRC) and stomach adenocarcinoma (STAD) when high immune infiltration coexisted with intermediate or high stromal infiltration. Conclusion: In summary, while high immune scores frequently correlate with a positive prognosis, such correlation is not universal. A potential strategy to address the current limitations of the immune score in specific circumstances could involve a focus on stromal scores or a subtle integration of stromal and immune status.

Indexed as

Cancer-associated fibroblastsImmune-checkpoint blockadeImmune scoreOverall survivalStromal score

Identifiers

PMID38034609
PMCPMC10687043
OpenAlexW4388818445

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.