Evidence map›Paper›PMID 41220845›Full record

ArticleImmune network2025

Comprehensive Analysis of scRNA-Seq and Bulk RNA-Seq Identified TIMP1 as a Prognostic Marker in Colorectal Cancer.

Qian-Wen Luo, Yuan-Chao Shi, Wang-Qiang Jia, Xiao-Hai Zhou, Zheng-Rong Yang, Yan Wang, Quan-Lin Guan

Abstract read
In one paragraph

Article in Immune network, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Qian-Wen LuoThe First Clinical Medical College of Lanzhou University, Lanzhou 730000, China.ORCID https://orcid.org/0009-0001-9187-8657
Yuan-Chao ShiThe First Clinical Medical College of Lanzhou University, Lanzhou 730000, China.ORCID https://orcid.org/0009-0005-3180-011X
Wang-Qiang JiaThe First Clinical Medical College of Lanzhou University, Lanzhou 730000, China.ORCID https://orcid.org/0000-0002-7818-7608
Xiao-Hai ZhouDepartment of Oncology Surgery, The First Hospital of Lanzhou University, Lanzhou 730000, China.ORCID https://orcid.org/0009-0006-1218-6350
Zheng-Rong YangDepartment of General Surgery, Centre for Minimally Invasive Gastrointestinal Surgery, The First Affiliated Hospital of Army Medical University (Third Military Medical University), Chongqing 400038, China.ORCID https://orcid.org/0009-0009-9635-7824
Yan WangDepartment of Pathology, Institute of Pathology and Southwest Cancer Center, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing 400038, China.ORCID https://orcid.org/0000-0002-8150-5486
Quan-Lin GuanThe First Clinical Medical College of Lanzhou University, Lanzhou 730000, China.ORCID https://orcid.org/0000-0003-0409-6823

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC), one of the most prevalent and lethal malignancies of digestive system, continues to impose a substantial burden on global health due to its high morbidity and mortality. Tumor microenvironment (TME) is a critical regulator for CRC progression and therapeutic response, but the in-depth understanding on the relationship of TME with CRC remains to be elucidated. In this study, we leveraged single-cell RNA sequencing (scRNA-seq) and bulk RNA-seq data to dissect the immune heterogeneity in CRC patients. The differential expression genes analysis, functional enrichment analysis, random forest analysis and the Least Absolute Shrinkage and Selection Operator method were used to construct a molecular immune prognostic model. The molecular model demonstrated robust performance in stratifying patients based on their immune microenvironment characteristics. The experimental results showed that TIMP1 was highly expressed in CRC. Knockdown of TIMP1 gene significantly inhibited RKO cell proliferation and invasion. By integrating scRNA-seq and bulk RNA-seq data, we developed a new prognostic model that effectively predicts clinical outcomes in patients with CRC and identifies TIMP1 as a promising prognostic biomarker for CRC.

Indexed as

Colorectal cancerHeterogeneitySingle-cell RNA sequencingTIMP1Tumor microenvironment

Identifiers

PMID41220845
PMCPMC12599420

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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.