Evidence map›Paper›PMID 34273035›Full record

ArticleFunctional & integrative genomics2021

RNA-sequencing identification and validation of genes differentially expressed in high-risk adenoma, advanced colorectal cancer, and normal controls.

Namjoo Kim, Jeong-An Gim, Beom Jae Lee, Byung Il Choi, Seung Bin Park, Hee Sook Yoon, Sang Hee Kang, Seung Han Kim, Moon Kyung Joo, Jong-Jae Park and 2 more

Abstract read
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In one paragraph

Article in Functional & integrative genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

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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

12 authors at 2 institutions in 2 countries.

Namjoo KimDepartment of Gastroenterology, Korea University Guro Hospital, Seoul, Republic of Korea.
Jeong-An GimMedical Science Research Center, College of Medicine, Korea University Guro Hospital Seoul, Seoul, Republic of Korea.
Beom Jae LeeDepartment of Gastroenterology, Korea University Guro Hospital, Seoul, Republic of Korea. L85210@korea.ac.kr.ORCID http://orcid.org/0000-0003-2449-4968
Byung Il ChoiDepartment of Gastroenterology, Korea University Guro Hospital, Seoul, Republic of Korea.
Seung Bin ParkDepartment of Gastroenterology, Korea University Guro Hospital, Seoul, Republic of Korea.
Hee Sook YoonDepartment of Gastroenterology, Korea University Guro Hospital, Seoul, Republic of Korea.
Sang Hee KangDepartment of Surgery, Korea University Guro Hospital, Seoul, Republic of Korea.
Seung Han KimDepartment of Gastroenterology, Korea University Guro Hospital, Seoul, Republic of Korea.
Moon Kyung JooDepartment of Gastroenterology, Korea University Guro Hospital, Seoul, Republic of Korea.
Jong-Jae ParkDepartment of Gastroenterology, Korea University Guro Hospital, Seoul, Republic of Korea.
Chungyeul KimDepartment of Pathology, College of Medicine, Korea University, Seoul, Republic of Korea.
Han-Kyeom KimDepartment of Pathology, College of Medicine, Korea University, Seoul, Republic of Korea.
Korea University Medical Center · KRKorea University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Distinct gene expression patterns that occur during the adenoma-carcinoma sequence need to be determined to analyze the underlying mechanism in each step of colorectal cancer progression. Elucidation of biomarkers for colorectal polyps that harbor malignancy potential is important for prevention of colorectal cancer. Here, we use RNA sequencing to determine gene expression profile in patients with high-risk adenoma treated with endoscopic submucosal dissection by comparing with gene expression in patients with advanced colorectal cancer and normal controls. We collected 70 samples, which consisted of 27 colorectal polyps, 24 cancer tissues, and 19 normal colorectal mucosa. RNA sequencing was performed on an Illumina platform to select differentially expressed genes (DEGs) between colorectal polyps and cancer, polyps and controls, and cancer and normal controls. The Kyoto Gene and Genome Encyclopedia (KEGG) and gene ontology (GO) analysis, gene-concept network, GSEA, and a decision tree were used to evaluate the DEGs. We selected the most highly expressed genes in high-risk polyps and validated their expression using real-time PCR and immunohistochemistry. Compared to patients with colorectal cancer, 82 upregulated and 24 downregulated genes were detected in high-risk adenoma. In comparison with normal controls, 33 upregulated and 79 downregulated genes were found in high-risk adenoma. In total, six genes were retrieved as the highest and second highest expressed in advanced polyps and cancers among the three groups. Among the six genes, ANAX3 and CD44 expression in real-time PCR for validation was in good accordance with RNA sequencing. We identified differential expression of mRNAs among high-risk adenoma, advanced colorectal cancer, and normal controls, including that of CD44 and ANXA3, suggesting that this cluster of genes as a marker of high-risk colorectal adenoma.

Indexed as

AdenomaColonic PolypsColorectal NeoplasmsGene Expression Regulation, NeoplasticAdultCase-Control StudiesFemaleGene Expression ProfilingHumansMaleMiddle AgedReproducibility of ResultsRNA, MessengerSequence Analysis, RNARNA, MessengerAdvanced colorectal cancerANAX3CD44High risk adenomaPrecision medicineRNA sequencing

Identifiers

PMID34273035
OpenAlexW3178499714

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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.