Evidence map›Paper›PMID 37859817›Full record

ArticleJournal of Cancer2023

Tumor stroma Siglec15 expression is a poor prognosis predictor in colon adenocarcinoma.

Weixiang Zhan, Fan Bai, Yue Cai, Jianwei Zhang, Ge Qin, Yuqian Xie, Yanhong Deng

Open access · goldAbstract read
In one paragraph

Article in Journal of Cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 30% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. 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

7 authors at 2 institutions in 1 country.

Weixiang ZhanDepartment of Oncology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Fan BaiDepartment of Oncology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Yue CaiDepartment of Oncology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Jianwei ZhangDepartment of Oncology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Ge QinDepartment of Oncology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Yuqian XieDepartment of Oncology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Yanhong DengDepartment of Oncology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Sixth Affiliated Hospital of Sun Yat-sen University · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sialic acid binding Ig-like lectin 15 (Siglec15) is considered a novel immune checkpoint and an emerging target for next-generation cancer immunotherapy. However, the significance of Siglec15 and its relationship with programmed death-ligand 1 (PD-L1) in colon adenocarcinoma (COAD) remain unknown. In this study, we analyzed Siglec15 expression within stromal area (SA) and tumor area (TA), and its relationship with tumor-infiltrating lymphocytes (TILs) in COAD and mismatch repair-proficient (MMR-p) COAD. Siglec15 expression was significantly higher in COAD tissues than in normal tissues, and elevated Siglec15(SA) expression, rather than Siglec15(TA) and Siglec15 (whole) expression, was correlated with poor prognosis and inversely correlated with the density of CD8

Indexed as

colon adenocarcinomaimmune checkpointimmunotherapyPD-L1Siglec15

Identifiers

PMID37859817
PMCPMC10583595
OpenAlexW4387194633

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.