Evidence map›Paper›PMID 41282138›Full record

ArticleResearch square2025

Identification of tumor initiating cells and early marker genes in normal colonic epithelium that lead to neoplastic transformation.

Sangeeta Jaiswal, Stephanie The, Tse-Shao Chang, Jiaqi Shi, Thomas D Wang

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In one paragraph

Article in Research square, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Sangeeta JaiswalDivision of Gastroenterology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Stephanie TheCancer Data Science Shared Resource, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
Tse-Shao ChangDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, Michigan, USA.
Jiaqi ShiDepartment of Pathology, University of Michigan, Ann Arbor, Michigan, USA.
Thomas D WangDivision of Gastroenterology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.

Funding

NOVEL STRATEGIES TO IMPROVE LIVER CANCER SURVEILLANCE UPTAKE AND EARLY DETECTIONU01CA230669 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LOK, ANNA S.F., SU, GRACE L. · 2018 to 2022
$3.3M
Defining epigenetic signaling to reshape pancreatic tumor microenvironmentR37CA262209 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jiaqi Shi · 2022 to 2026
$2.3M
Early detection of colorectal cancer in the traditional and serrated pathwaysR01CA249851 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WANG, THOMAS D · 2020 to 2024
$1.7M
NCI NIH HHS R01 CA249851NCI NIH HHS R37 CA262209NCI NIH HHS U01 CA230669
6 · The paper itself

Abstract

Background & Aims: Colorectal cancer (CRC) remains a major cause of cancer-related morbidity and mortality worldwide. Although the adenoma-carcinoma sequence and associated genetic alterations are well characterized, the earliest cellular and molecular events that initiate tumorigenesis within histologically normal colonic epithelium remain poorly defined. This study aims to identify tumor-initiating cells (TICs) and early transcriptional markers of neoplastic transformation using single-cell RNA sequencing (scRNA-seq) from paired normal-appearing and transformed human colonic tissues. Methods: Fresh biopsies from histologically normal-appearing colonic mucosa and paired polyps, including tubular adenomas, sessile serrated adenomas, and adenocarcinoma, were collected from 7 human subjects. Single-cell transcriptomes were generated using the 10X Genomics platform and analyzed with Seurat, Monocle 2, CytoTRACE, GSVA, GSEA, RNA velocity, and InferCNV. Tumor-associated states were inferred utilizing clustering, trajectory analysis, pathway enrichment, copy number variation profiling, and validated spatially by RNA-FISH. Results: A total of 51,054 high-quality single-cell transcriptomes were resolved into 33 epithelial and stromal clusters. Tumor-specific stem-like (tSTM, cluster 0) and deep crypt secretory (tDCS, cluster 10) populations were enriched in adenomas, whereas sub-clustering of tSTM identified TICs (subclusters 4 and 6) derived largely from histologically normal mucosa. TICs exhibited strong stemness potential, genomic instability, and early activation of epithelial-mesenchymal transition (EMT) and interferon signaling, accompanied by suppression of oxidative phosphorylation. Conclusions: This study identifies TICs as the developmental origin of neoplastic stem-like states and delineates early transcriptional and pathway reprogramming events that drive the transition from normal to premalignant colonic epithelium. These findings provide new insight into CRC initiation and nominate biomarkers with translational potential for early detection and therapeutic targeting.

Indexed as

colorectal cancerepithelial-to-mesenchymal transitionETS2GPRC5Asingle-cell RNA-seqSOD3tumor-initiating cells

Identifiers

PMID41282138
PMCPMC12636725

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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.