Evidence map›Paper›PMID 35939113›Full record

ArticleJournal of cancer research and clinical oncology2023

Histomorphological and molecular genetic characterization of different intratumoral regions and matched metastatic lymph nodes of colorectal cancer with heterogenous mismatch repair protein expression.

Jing Zhang, Xin Zhang, Qian Wang, Yu-Yin Xu, Qian-Lan Yao, Dan Huang, Wei-Qi Sheng, Xiao-Li Zhu, Xiao-Yan Zhou, Qian-Ming Bai

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In one paragraph

Article in Journal of cancer research and clinical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Diagnostic value of human fecal SDC2 gene in colorectal cancer.American journal of translational research · 2023
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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 3 institutions in 1 country.

Jing Zhang *Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China.
Xin Zhang *Department of Pathology, Fudan University Zhongshan Hospital, Shanghai, 200032, China.
Qian Wang *Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China.
Yu-Yin XuDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China.
Qian-Lan YaoDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China.
Dan HuangDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China.
Wei-Qi ShengDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China.
Xiao-Li ZhuDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China.
Xiao-Yan ZhouDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China. xyzhou100@163.com.
Qian-Ming BaiDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China. baiqianming@163.com.
Shanghai Medical College of Fudan University · CNFudan University · CNFudan University Shanghai Cancer Center · CN

Funding

Innovation Group Project of Shanghai Municipal Health Commission No.2019CXJQ03Integrated diagnostic pathological study on cancer of unknown primary No.20Z11900300National Key Research and Development Program of China No.YFC20170110100Science and Technology Commission of Shanghai Municipality No.19441904900Shanghai Municipal Key Clinical Specialty shslczdzk01301Shanghai Science and technology development foundation 19MC1911000
6 · The paper itself

Abstract

purposeTo better understand the clinicopathological characteristics and molecular alterations in different intratumoral components of colorectal cancer (CRC) with heterogeneity of mismatch repair (MMR) protein expression and microsatellite instability (MSI) status.

methodsThe histopathological features, MSI status, and other molecular alterations were analyzed in separately microdissected intratumoral regions and matched metastatic lymph nodes in four cases with intratumoral heterogenous MMR expression screened from 500 CRC patients, using PCR-based MSI testing, MLH1 promoter methylation, and targeted next-generation sequencing (NGS).

resultsHigh microsatellite instability (MSI-H) was identified in MLH1/PMS2-deficient regions in Cases 1 to 3 and in MSH2/MSH6-deficient regions in Case 4, while microsatellite stability (MSS) was detected in all the intratumoral regions and metastatic lymph nodes with proficient MMR expression (pMMR). Intratumoral heterogeneity of MLH1 promoter methylation and/or other common driving gene mutations of CRC, such as KRAS and PIK3CA mutations, was identified in all four CRCs. Further, three cases (75%) showed heterogeneous histomorphological features in intratumoral components and metastatic lymph nodes (Cases 1, 2, and 4), and the corresponding metastatic lymph nodes showed moderate differentiation with MSS/pMMR (Cases 2 and 3).

conclusionsIntratumoral heterogeneous MSI status is highly correlated with intratumoral histomorphological heterogeneity, which is also an important clue for the intratumoral heterogeneity of drive gene mutations in CRC. Thus, it is essential to detect MMR protein expression and other gene mutations in metastases before treatment, especially for CRCs with intratumoral heterogenous MMR protein expression or heterogenous histomorphological features.

Indexed as

Colorectal NeoplasmsAdaptor Proteins, Signal TransducingDNA Mismatch RepairHumansMicrosatellite InstabilityMolecular BiologyMutL Protein Homolog 1MutS Homolog 2 ProteinNuclear ProteinsAdaptor Proteins, Signal TransducingMutL Protein Homolog 1MutS Homolog 2 ProteinNuclear ProteinsColorectal cancerHistomorphologyIntratumoral heterogeneityMicrosatellite instabilityMismatch repair

Identifiers

PMID35939113
PMCPMC11797419
OpenAlexW4290647999

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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 OpenQuestion graph.