Evidence map›Paper›PMID 38632387›Full record

ArticleScientific reports2024

Single-cell transcriptome analysis profiling lymphatic invasion-related TME in colorectal cancer.

Liping Wang, Liming Ma, Zhaona Song, Li Zhou, Kexin Chen, Xizi Wang, Zhen Liu, Baozhong Wang, Chen Shen, Xianchao Guo and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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
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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.

Liping Wang *Department of Geriatrics, Liaocheng People's Hospital, Liaocheng, 252000, Shandong, China.
Liming Ma *Harbin Inji Technology Co., Ltd., Harbin, 150060, Heilongjiang, China.
Zhaona Song *Joint Laboratory for Translational Medicine Research, Liaocheng People's Hospital, Liaocheng, 252000, Shandong, China.
Li ZhouBeijing Easyresearch Technology Limited, Beijing, 100049, China.
Kexin ChenJoint Laboratory for Translational Medicine Research, Liaocheng People's Hospital, Liaocheng, 252000, Shandong, China.
Xizi WangJoint Laboratory for Translational Medicine Research, Liaocheng People's Hospital, Liaocheng, 252000, Shandong, China.
Zhen LiuHarbin Inji Technology Co., Ltd., Harbin, 150060, Heilongjiang, China.
Baozhong WangDepartment of Oncology, Liaocheng People's Hospital, Liaocheng, 252000, Shandong, China.
Chen ShenDepartment of Data and Information, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, 310052, Zhejiang, China.
Xianchao GuoHarbin Inji Technology Co., Ltd., Harbin, 150060, Heilongjiang, China. guoxianchao@genars.net.
Xiaodong JiaJoint Laboratory for Translational Medicine Research, Liaocheng People's Hospital, Liaocheng, 252000, Shandong, China. jiaxiaodong1018@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lymphatic invasion (LI) is extremely aggressive and induces worse prognosis among patients with colorectal cancer (CRC). Thus, it is critical to characterize the cellular and molecular mechanisms underlying LI in order to establish novel and efficacious therapeutic targets that enhance the prognosis of CRC patients. RNA-seq data, clinical and survival information of colon adenocarcinoma (COAD) patients were obtained from the TCGA database. In addition, three scRNA-seq datasets of CRC patients were acquired from the GEO database. Data analyses were conducted with the R packages. We assessed the tumor microenvironment (TME) differences between LI+ and LI- based scRNA-seq data, LI+ cells exhibited augmented abundance of immunosuppression and invasive subset. Marked extracellular matrix network activation was also observed in LI+ cells within SPP1+ macrophages. We revealed that an immunosuppressive and pro-angiogenic TME strongly enhanced LI, as was evidenced by the CD4+ Tregs, CD8+ GZMK+, SPP1+ macrophages, e-myCAFs, and w-myCAFs subcluster infiltrations. Furthermore, we identified potential LI targets that influenced tumor development, metastasis, and immunotherapeutic response. Finally, a novel LIRS model was established based on the expression of 14 LI-related signatures, and in the two testing cohorts, LIRS was also proved to have accurate prognostic predictive ability. In this report, we provided a valuable resource and extensive insights into the LI of CRC. Our conclusions can potentially benefit the establishment of highly efficacious therapeutic targets as well as diagnostic biomarkers that improve patient outcomes.

Indexed as

AdenocarcinomaColonic NeoplasmsHumansPrognosisSingle-Cell Gene Expression AnalysisTumor Microenvironment

Identifiers

PMID38632387
PMCPMC11024122

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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.