Evidence map›Paper›PMID 28083970›Full record

ArticleCancer science2017

Molecular subtypes of colorectal cancers determined by PCR-based analysis.

Tamotsu Sugai, Makoto Eizuka, Yayoi Takahashi, Tomoyuki Fukagawa, Wataru Habano, Eiichiro Yamamoto, Risaburo Akasaka, Kouki Otuska, Takayuki Matsumoto, Hiromu Suzuki

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

13 citing papers in PubMed, 34 citations in OpenAlex.

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  7. Molecular alterations in gastric cancer and the surrounding intestinal metaplastic mucosa: an analysis of isolated glands.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2021
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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.

Tamotsu SugaiDepartment of Molecular Diagnostic Pathology, School of Pharmacy, Iwate Medical University, Morioka, Japan.
Makoto EizukaDepartment of Molecular Diagnostic Pathology, School of Pharmacy, Iwate Medical University, Morioka, Japan.
Yayoi TakahashiDepartment of Molecular Diagnostic Pathology, School of Pharmacy, Iwate Medical University, Morioka, Japan.
Tomoyuki FukagawaDepartment of Molecular Diagnostic Pathology, School of Pharmacy, Iwate Medical University, Morioka, Japan.
Wataru HabanoPharmacodynamics and Molecular Genetics, School of Pharmacy, Iwate Medical University, Morioka, Japan.
Eiichiro YamamotoDepartment of Molecular Biology, Sapporo Medical University, Sapporo, Japan.
Risaburo AkasakaDivision of Gastroenterology, Department of Internal Medicine, School of Pharmacy, Iwate Medical University, Morioka, Japan.
Kouki OtuskaDepartment of Surgery, School of Medicine, School of Pharmacy, Iwate Medical University, Morioka, Japan.
Takayuki MatsumotoDivision of Gastroenterology, Department of Internal Medicine, School of Pharmacy, Iwate Medical University, Morioka, Japan.
Hiromu SuzukiDepartment of Molecular Biology, Sapporo Medical University, Sapporo, Japan.
Iwate Medical University · JPSapporo Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor tissue consists of a heterogeneous cell population. The allelic imbalance (AI) ratio, determined in isolated tumor glands, is a good index of tumor heterogeneity. However, associations of the patterns of AI and microsatellite instability (MSI) development, observed in most cases of colorectal cancer (CRC), with tumor progression have not been reported previously. In this study, we examined whether CRC genetic profiles stratified by a combination of the AI ratio and MSI facilitate categorization of CRC, and whether these genetic profiles are associated with specific molecular alterations in CRC. A crypt isolation method was used to isolate DNA from tumors and normal glands obtained from 147 sporadic CRCs. AI and MSI statuses were determined using PCR-based microsatellite analysis and stratified based on AI ratio and MSI status. DNA methylation status (high methylation, intermediate methylation and low methylation status and mutations in KRAS, BRAF, and TP53 were examined. In addition, mucin markers were immunostained. Based on this analysis, four subgroups were categorized. Subgroup 1 was characterized by a high MSI status and BRAF mutation; subgroup 2 was closely associated with a high AI ratio, which accumulated during the early phases of colorectal carcinogenesis, and TP53 mutation; subgroup 3 was associated with a low AI ratio, seen during the later phases of colorectal carcinogenesis, and KRAS mutation; and subgroup 4 was defined as a minor subgroup. These results confirmed that classification of distinct molecular profiles provides important insights into colorectal carcinogenesis.

Indexed as

Microsatellite InstabilityAdultAgedAged, 80 and overColorectal NeoplasmsDNA MethylationFemaleHumansMaleMicrosatellite RepeatsMiddle AgedMucinsMutationPolymerase Chain ReactionProto-Oncogene Proteins B-rafProto-Oncogene Proteins p21(ras)BRAF protein, humanKRAS protein, humanMucinsProto-Oncogene Proteins B-rafProto-Oncogene Proteins p21(ras)TP53 protein, humanTumor Suppressor Protein p53Allelic imbalancecluster analysiscolorectal cancermethylationmicrosatellite instability

Identifiers

PMID28083970
PMCPMC5378279
OpenAlexW2574779584

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LicenceCC BY-NC
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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.