Evidence map›Paper›PMID 34553035›Full record

ArticleMolecular therapy oncolytics2021

Single-cell transcriptomics reveal

Huisheng Liu, JiaYuan Zhong, JiaQi Hu, ChongYin Han, Rui Li, XueQing Yao, ShiPing Liu, Pei Chen, Rui Liu, Fei Ling

Open access · goldAbstract read
In one paragraph

Article in Molecular therapy oncolytics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

7 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
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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

10 authors at 2 institutions in 1 country.

Huisheng LiuSchool of Biology and Biological Engineering, South China University of Technology, 381 Wushan Road, Guangzhou, Guangdong 510641, China.
JiaYuan ZhongSchool of Mathematics, South China University of Technology, Guangzhou, Guangdong 510641, China.
JiaQi HuSchool of Biology and Biological Engineering, South China University of Technology, 381 Wushan Road, Guangzhou, Guangdong 510641, China.
ChongYin HanSchool of Biology and Biological Engineering, South China University of Technology, 381 Wushan Road, Guangzhou, Guangdong 510641, China.
Rui LiDepartment of Pathology, Southern Medical University Nanfang Hospital, Guangzhou, Guangdong 510515, China.
XueQing YaoDepartment of General Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, Guangdong 510080, China.
ShiPing LiuShenzhen Key Laboratory of Single-Cell Omics, BGI-Shenzhen, Shenzhen 518083, China.
Pei ChenSchool of Mathematics, South China University of Technology, Guangzhou, Guangdong 510641, China.
Rui LiuSchool of Mathematics, South China University of Technology, Guangzhou, Guangdong 510641, China.
Fei LingSchool of Biology and Biological Engineering, South China University of Technology, 381 Wushan Road, Guangzhou, Guangdong 510641, China.
South China University of Technology · CNNanfang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing evidence indicates that mature B cells in the adjacent tumor tissue, both as an intermediate state, are vital in advanced colorectal cancer (CRC), which is associated with a low survival rate. Developing predictive biomarkers that detect the tipping point of mature B cells before lymph node metastasis in CRC is critical to prevent irreversible deterioration. We analyzed B cells in the adjacent tissues of CRC samples from different stages using the dynamic network biomarker (DNB) method. Single-cell profiling of 725 CRC-derived B cells revealed the emergence of a mature B cell subtype. Using the DNB method, we identified stage II as a critical period before lymph node metastasis and that reversed difference genes triggered by DNBs were enriched in the Janus kinase (JAK)-signal transducer and activator of transcription (STAT) pathway involving B cell immune capability.

Indexed as

colorectal cancerDHX9dynamic network biomarkerimmunotherapy targetmature B cellpara-cancerous tissue

Identifiers

PMID34553035
PMCPMC8433066
OpenAlexW3167388911

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.