Evidence map›Paper›PMID 36345721›Full record

ArticleeLife2022

Gene interaction perturbation network deciphers a high-resolution taxonomy in colorectal cancer.

Zaoqu Liu, Siyuan Weng, Qin Dang, Hui Xu, Yuqing Ren, Chunguang Guo, Zhe Xing, Zhenqiang Sun, Xinwei Han

Abstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  19. Subtyping or not subtyping-Translational cancer research · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Zaoqu LiuDepartment of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.ORCID 0000-0002-0452-742X
Siyuan WengDepartment of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Qin DangDepartment of Colorectal Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Hui XuDepartment of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yuqing RenDepartment of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Chunguang GuoDepartment of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zhe XingDepartment of Neurosurgery, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zhenqiang SunDepartment of Colorectal Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xinwei HanDepartment of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.ORCID 0000-0003-4407-4864

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular subtypes of colorectal cancer (CRC) are currently identified via the snapshot transcriptional profiles, largely ignoring the dynamic changes of gene expressions. Conversely, biological networks remain relatively stable irrespective of time and condition. Here, we introduce an individual-specific gene interaction perturbation network-based (GIN) approach and identify six GIN subtypes (GINS1-6) with distinguishing features: (i) GINS1 (proliferative, 24%~34%), elevated proliferative activity, high tumor purity, immune-desert,

Indexed as

Colorectal NeoplasmsProto-Oncogene Proteins B-rafChromosomal Proteins, Non-HistoneCpG IslandsDNA MethylationHumansMicrosatellite InstabilityMutationProto-Oncogene Proteins p21(ras)Chromosomal Proteins, Non-HistoneGINS2 protein, humanGINS3 protein, humanGINS4 protein, humanProto-Oncogene Proteins B-rafProto-Oncogene Proteins p21(ras)biological networkcancer biologycolorectal cancergene interactionhumanmolecular subtypeprecision medicine

Identifiers

PMID36345721
PMCPMC9643007

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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.