Back

Longitudinal Tracking of Chromosomal Instability Informs Timely Intervention in the Gastric Precancerous Cascade

Li, S.-w.; Fu, X.-y.; Dai, C.; Liu, H.; Wu, W.-x.; Ying, J.-x.; Peng, J.-b.; Zhou, X.-b.; He, B.-l.; Huang, Q.; Zhu, M.; Zhang, L.-m.; Zhang, Y.; Gu, B.-b.; Yan, L.-l.; Li, J.-c.; Luo, R.-q.; He, S.-q.; Fang, L.-n.; Lu, Y.-d.; Song, Y.-q.; Xu, S.-w.; Tang, S.-p.; Lu, Y.-h.; Xu, S.-j.; Chen, X.; Chen, Y.-h.; Ye, L.-p.; Gan, M.-f.; Mao, X.-l.

2025-11-10 gastroenterology
10.1101/2025.11.09.25339830 medRxiv
Show abstract

BackgroundA major unmet need in gastric cancer prevention is the lack of biomarkers to predict precancerous lesion progression, and the potential of chromosomal instability (CIN) for this role, particularly regarding early cancer and recurrence, remains unclear. ObjectiveTo assess the predictive role of CIN in lesion progression and postoperative recurrence following endoscopic submucosal dissection (ESD). DesignWe enrolled 106 patients from Taizhou Hospital Affiliated to Wenzhou Medical University (2011-2025) and collected 1,045 temporally continuous pathological samples. Copy number variations were profiled using low-coverage whole-genome sequencing (LC-WGS), and CIN scores were calculated. Associations between CIN and clinical outcomes were analyzed using survival analysis and ROC curves. ResultsCIN was detectable up to two years before gastric cancer diagnosis, with positivity rates increasing alongside lesion severity: 25.5% in intestinal metaplasia, 39.7% in low-grade dysplasia, and 83.0% in gastric cancer. CIN positivity independently predicted lesion progression (hazard ratio [HR] = 2.55, 95% CI: 1.19-5.47, p = 0.016), with the greatest risk for progression to carcinoma (HR = 16.61, p < 0.001). The predictive AUC was 0.81, improving to 0.88 when combined with age. Among 84 patients who underwent ESD, CIN positivity significantly increased recurrence risk (HR = 19.57, 95% CI: 2.59 - 147.61, p = 0.004; AUC = 0.80). Chromosomal arms 7p/q, 8p/q, and 20p/q showed high CIN frequencies, with MYC being the most frequently mutated oncogene. ConclusionCIN represents a reliable biomarker for early prediction of lesion progression and postoperative recurrence, enabling proactive surveillance and precision management of gastric cancer. Single Sentence SummaryChromosomal instability (CIN) acts as a reliable biomarker for predicting the progression of gastric precancerous lesions and postoperative recurrence.

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

1
Gastroenterology
40 papers in training set
Top 0.1%
45.2%
2
Gut
36 papers in training set
Top 0.1%
9.1%
50% of probability mass above
3
Cellular and Molecular Gastroenterology and Hepatology
41 papers in training set
Top 0.1%
5.3%
4
International Journal of Cancer
42 papers in training set
Top 0.3%
3.1%
5
American Journal of Gastroenterology
15 papers in training set
Top 0.2%
2.8%
6
Oncogene
76 papers in training set
Top 0.7%
2.6%
7
BMC Medicine
163 papers in training set
Top 2%
2.6%
8
British Journal of Cancer
42 papers in training set
Top 0.6%
2.3%
9
Molecular Oncology
50 papers in training set
Top 0.3%
2.0%
10
Journal of Clinical Medicine
91 papers in training set
Top 3%
1.8%
11
eBioMedicine
130 papers in training set
Top 1%
1.8%
12
BMC Cancer
52 papers in training set
Top 1%
1.6%
13
npj Precision Oncology
48 papers in training set
Top 0.9%
1.2%
14
PLOS ONE
4510 papers in training set
Top 61%
1.2%
15
JNCI: Journal of the National Cancer Institute
16 papers in training set
Top 0.5%
1.0%
16
Frontiers in Oncology
95 papers in training set
Top 3%
1.0%
17
The Journal of Molecular Diagnostics
36 papers in training set
Top 0.3%
1.0%
18
Cancer Epidemiology, Biomarkers & Prevention
17 papers in training set
Top 0.5%
1.0%
19
Nature Communications
4913 papers in training set
Top 60%
0.9%
20
eLife
5422 papers in training set
Top 54%
0.9%
21
Scientific Reports
3102 papers in training set
Top 72%
0.8%
22
Med
38 papers in training set
Top 0.6%
0.8%
23
American Journal of Physiology-Gastrointestinal and Liver Physiology
11 papers in training set
Top 0.2%
0.8%
24
PeerJ
261 papers in training set
Top 18%
0.5%
25
Cell Reports Medicine
140 papers in training set
Top 10%
0.5%