Evidence map›Paper›PMID 38698020›Full record

ArticleScientific reports2024

Elucidating immunological characteristics of the adenoma-carcinoma sequence in colorectal cancer patients in South Korea using a bioinformatics approach.

Jaeseung Song, Daeun Kim, Junghyun Jung, Eunyoung Choi, Yubin Lee, Yeonbin Jeong, Byungjo Lee, Sora Lee, Yujeong Shim, Youngtae Won and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Article
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

15 authors.

Jaeseung SongDepartment of Life Sciences, Dongguk University, Seoul, 04620, South Korea.
Daeun KimDepartment of Life Sciences, Dongguk University, Seoul, 04620, South Korea.
Junghyun JungDepartment of Life Sciences, Dongguk University, Seoul, 04620, South Korea.
Eunyoung ChoiDepartment of Life Sciences, Dongguk University, Seoul, 04620, South Korea.
Yubin LeeDepartment of Life Sciences, Dongguk University, Seoul, 04620, South Korea.
Yeonbin JeongDepartment of Life Sciences, Dongguk University, Seoul, 04620, South Korea.
Byungjo LeeDepartment of Life Sciences, Dongguk University, Seoul, 04620, South Korea.
Sora LeeDepartment of Life Sciences, Dongguk University, Seoul, 04620, South Korea.
Yujeong ShimDepartment of Life Sciences, Dongguk University, Seoul, 04620, South Korea.
Youngtae WonDepartment of Life Sciences, Dongguk University, Seoul, 04620, South Korea.
Hyeki ChoDepartment of Internal Medicine, Dongguk University Ilsan Hospital, Dongguk University College of Medicine, Goyang, 10326, South Korea.
Dong Kee JangDepartment of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, 07061, South Korea.
Hyoun Woo KangDepartment of Internal Medicine, Dongguk University Ilsan Hospital, Dongguk University College of Medicine, Goyang, 10326, South Korea. gangmal1@snu.ac.kr.
Jong Wha J JooDivision of AI Software Convergence, Dongguk University-Seoul, Seoul, 04620, South Korea. jwjjoo@dgu.ac.kr.
Wonhee JangDepartment of Life Sciences, Dongguk University, Seoul, 04620, South Korea. wany@dongguk.edu.

Funding

National Research Foundation of Korea NRF-2021R1A2C1008804
6 · The paper itself

Abstract

Colorectal cancer (CRC) is one of the top five most common and life-threatening malignancies worldwide. Most CRC develops from advanced colorectal adenoma (ACA), a precancerous stage, through the adenoma-carcinoma sequence. However, its underlying mechanisms, including how the tumor microenvironment changes, remain elusive. Therefore, we conducted an integrative analysis comparing RNA-seq data collected from 40 ACA patients who visited Dongguk University Ilsan Hospital with normal adjacent colons and tumor samples from 18 CRC patients collected from a public database. Differential expression analysis identified 21 and 79 sequentially up- or down-regulated genes across the continuum, respectively. The functional centrality of the continuum genes was assessed through network analysis, identifying 11 up- and 13 down-regulated hub-genes. Subsequently, we validated the prognostic effects of hub-genes using the Kaplan-Meier survival analysis. To estimate the immunological transition of the adenoma-carcinoma sequence, single-cell deconvolution and immune repertoire analyses were conducted. Significant composition changes for innate immunity cells and decreased plasma B-cells with immunoglobulin diversity were observed, along with distinctive immunoglobulin recombination patterns. Taken together, we believe our findings suggest underlying transcriptional and immunological changes during the adenoma-carcinoma sequence, contributing to the further development of pre-diagnostic markers for CRC.

Indexed as

AdenomaColorectal NeoplasmsComputational BiologyGene Expression Regulation, NeoplasticAgedBiomarkers, TumorFemaleGene Expression ProfilingHumansKaplan-Meier EstimateMaleMiddle AgedPrognosisRepublic of KoreaTumor MicroenvironmentBiomarkers, TumorAdenoma-carcinoma sequenceAdvanced colorectal adenomaColorectal cancerImmune repertoire

Identifiers

PMID38698020
PMCPMC11066069

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.