Marker for predicting risk of colorectal cancer lymphatic vessel invasion and application

A risk prediction model for lymphovascular invasion in colorectal cancer was constructed using peripheral blood biomarkers PLR, D-dimer, CA19-9, and CA724. This model addresses the issue of insufficient diagnostic accuracy in existing technologies and enables rapid and accurate risk assessment and treatment strategy guidance.

CN121034618APending Publication Date: 2025-11-28SHANXI MEDICAL UNIV
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Patent Information

Application Number
CN202511117193.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-11
Publication Date
2025-11-28

AI Technical Summary

Technical Problem

In existing technologies, the diagnostic accuracy of lymphovascular invasion in colorectal cancer is limited by staining techniques, the number of tissue blocks, and the experience of the pathologist, resulting in insufficient diagnostic accuracy.

Method used

Using three biomarkers in peripheral blood—PLR, D-dimer, CA19-9, and CA724—and combined with clinicopathological features, a predictive model for the risk of lymphovascular invasion in colorectal cancer was constructed. The nomogram model was used to assist in diagnosis by calculating risk factor scores.

Benefits of technology

It improves the diagnostic accuracy of lymphovascular invasion, enables rapid determination of the patient's risk range, assists pathologists in diagnosis, and guides clinicians in developing treatment strategies.

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Abstract

The invention discloses a marker for predicting the risk of colorectal cancer lymphatic vessel invasion and application, and belongs to the technical field of tumor biomarker research. Aiming at the problem that the current diagnosis of lymphatic vessel invasion is limited by a dyeing technology, the number of tissue blocks and the experience and professional degree of pathologists, the invention discovers that PLR, D-dimer, CA19-9 and CA724 in peripheral blood laboratory indexes are related to lymphatic vessel invasion through clinical pathological feature analysis; a risk factor scoring system constructed based on PLR, D-dimer, CA199 and CA724 is an independent prediction factor of lymphatic vessel invasion. The risk factor score is combined with other common clinical pathological variables to construct a column graph model for predicting the lymphatic vessel invasion risk, diagnosis of a pathologist can be assisted, and a clinician can be guided to make a treatment strategy.
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