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Colorectal cancer metabolic gene prognosis prediction model

A colorectal cancer, predictive model technology, applied in the field of biomedicine, to reduce the occurrence of ineffective treatment, reduce costs and discomfort experience, and achieve good specificity

Active Publication Date: 2021-07-23
上海伯塞斯医学生物科技有限公司
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  • Colorectal cancer metabolic gene prognosis prediction model
  • Colorectal cancer metabolic gene prognosis prediction model
  • Colorectal cancer metabolic gene prognosis prediction model

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Embodiment 1

[0021] 1 method

[0022] 1) Determine the candidate list of metabolism-related genes: Metabolism-related genes inclusion criteria: (A) have the same expression pattern in TCGA database and GEO database; (B) enriched in KEGG metabolism-related pathways. At the same time, for the metabolic genes that appeared multiple times in the cohort, the mean value was taken. (C) Differential expression (LIMMA) in the TCGA training set. The screening criteria were set as |with |logFC|>1.5, and fdr value<0.05. (D) Univariate Cox regression analysis P<0.05 for OS correlation in TCGA training set. Exclusion criteria: not meeting any of the above.

[0023] 2) Use lasso regression to establish a model: and evaluate: use the metabolism-related genes screened out by the above method to establish a Lasso Cox regression model. Penalized maximum likelihood estimation was performed with the bootstrap method, repeated 1000 times. The optimal weighting coefficients are determined by the 1-SE criter...

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Abstract

The invention relates to a colorectal cancer metabolic gene prognosis prediction model, relates to biomarkers UGT2A, ACAA2, PKM, GPX3, PAFAH1B3 and SOX9, and further comprises application of reagents for detecting the expression quantity of the markers in preparation of a kit for evaluating colorectal cancer prognosis survival. The prognosis of a patient is judged on the basis of the diagnostic markers and a corresponding prediction model (i.e., according to the sum of products of expression quantities and coefficients of six metabolism-related genes and clinical characteristics of the patient are combined), which have the advantage of efficiently and accurately predicting the prognosis of the colorectal cancer patient, effective guidance is provided for clinicians to make a treatment decision on the colorectal cancer patient, invalid treatment is reduced, and therefore the treatment cost and uncomfortable experience of the patient are reduced.

Description

technical field [0001] The invention relates to the technical field of biomedicine, in particular to a colorectal cancer metabolic gene prognosis prediction model. Background technique [0002] Colorectal cancer is a malignant tumor that occurs in the colon and rectum. It is asymptomatic in the early stage, or the symptoms are not obvious, only discomfort, indigestion, and occult blood in the stool. As the cancer develops, symptoms gradually appear, manifested as changes in bowel habits, abdominal pain, blood in the stool, abdominal mass, intestinal obstruction, etc., with or without systemic symptoms such as anemia, fever, and weight loss. Tumor metastasis and infiltration can cause changes in affected organs. Different clinical symptoms and signs are shown due to different locations. Examination methods usually include: laboratory examination (such as blood routine, complete biochemical items, etc.), endoscopic examination, biopsy and exfoliated cytology examination, and...

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Application Information

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IPC IPC(8): C12Q1/6886
CPCC12Q1/6886C12Q2600/106C12Q2600/118C12Q2600/158Y02A90/10
Inventor 甘露袁艺洮孙珣刘梦玲刘天舒
Owner 上海伯塞斯医学生物科技有限公司
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