Evidence map›Paper›PMID 34876190›Full record

ArticleChinese medicine2021

Traditional chinese medicine syndromes classification associates with tumor cell and microenvironment heterogeneity in colorectal cancer: a single cell RNA sequencing analysis.

Yiyu Lu, Chungen Zhou, Meidong Zhu, Zhiliang Fu, Yong Shi, Min Li, Wenhai Wang, Shibo Zhu, Bin Jiang, Yunquan Luo and 1 more

Open access · goldAbstract read
In one paragraph

Article in Chinese medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. A prospective clinical study on the effectiveness ofJournal of traditional and complementary medicine · 2026
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  7. Single-cell multi-omics in the study of digestive system cancers.Computational and structural biotechnology journal · 2024
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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 at 3 institutions in 1 country.

Yiyu Lu *Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Chungen Zhou *Department of Anorectal, Nanjing Hospital of Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing, 210001, China.
Meidong Zhu *Department of Liver and Gallbladder Surgery, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Zhiliang FuCinoasia Institute, Shanghai, 200438, China.
Yong ShiCinoasia Institute, Shanghai, 200438, China.
Min LiDepartment of Oncology, Nanjing Hospital of Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing, 210001, China.
Wenhai WangDepartment of Oncology, Shanghai Baoshan Hospital of Integrated Traditional Chinese Medicine and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 201999, China.
Shibo ZhuCenter for Pharmacogenomics, School of Life Sciences, Fudan University, Shanghai, 200438, China.
Bin JiangDepartment of Anorectal, Nanjing Hospital of Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing, 210001, China. jbfirsth@aliyun.com.
Yunquan LuoDepartment of Liver and Gallbladder Surgery, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China. yqluo09@sohu.com.
Shibing SuInstitute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China. shibingsu07@163.com.ORCID http://orcid.org/0000-0002-1003-6424
Shanghai University of Traditional Chinese Medicine · CNNanjing University of Chinese Medicine · CNFudan University · CN

Funding

Key Program of National Natural Science Foundation of China 81330084National Key Research and Development: Special Project for Research on the Modernization of Traditional Chinese Medicine 2018YFC1704204Shanghai Science and Technology Development Foundation 20ZR1453700
6 · The paper itself

Abstract

backgroundColorectal cancer (CRC) is one of the common gastrointestinal malignancies, tumor heterogeneity is the main cause of refractory CRC. Syndrome differentiation is the premise of individualized treatment of traditional Chinese medicine (TCM), but TCM syndrome lacks objective identification in CRC. This study is to investigate the correlation and significance of tumor heterogeneity and TCM syndromes classification in CRC.

methodsIn this study, we using scRNA-seq technology, investigate the significance of tumor heterogeneity in TCM syndromes classification on CRC.

resultsThe results showed that 662 cells isolated from 11 primary CRC tumors are divided into 14 different cell clusters, and each cell subtype and its genes have different functions and signal transduction pathways, indicating significant heterogeneity. CRC tumor cell clusters have different proportions in Excess, Deficiency and Deficiency-Excess syndromes, and have their own characteristic genes, gene co-expression networks, gene functional interpretations as well as monocle functional evolution. Moreover, there were significant differences between the high expressions of MUC2, REG4, COL1A2, POSTN, SDPR, GPX1, ELF3, KRT8, KRT18, KRT19, FN1, SERPINE1, TCF4 and ZEB1 genes in Excess and Deficiency syndrome classification in CRC (P < 0.01).

conclusionsThe Excess and Deficiency syndromes classification may be related to tumor heterogeneity and its microenvironment in CRC.

Indexed as

Colorectal cancerExcess and Deficiency syndromes classificationSingle cell RNA sequencingTumor heterogeneityTumor microcirculation

Identifiers

PMID34876190
PMCPMC8650518
OpenAlexW4226087289

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.