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Analysis method of immuno prognosis diagnostic marker combination for ovarian cancer

A technology of diagnostic markers and analysis methods, which is applied in the field of analysis of immune prognostic diagnostic marker combinations, and can solve the problem of unclear correlation of immune cell infiltration in ovarian cancer.

Pending Publication Date: 2021-07-09
SOUTHEAST UNIV
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  • Abstract
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Problems solved by technology

[0007] Aiming at the deficiencies of the prior art, the purpose of the present invention is to provide an analysis method for the immunoprognostic diagnostic marker combination of ovarian cancer, which solves the role of TMB-related immune genes in the prognosis of ovarian cancer and the role of TMB-related immune genes in the prior art. The association between immune genes and immune cell infiltration in ovarian cancer remains an undefined issue

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  • Analysis method of immuno prognosis diagnostic marker combination for ovarian cancer
  • Analysis method of immuno prognosis diagnostic marker combination for ovarian cancer
  • Analysis method of immuno prognosis diagnostic marker combination for ovarian cancer

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Embodiment 1

[0054] S1. Data collection and preprocessing

[0055] Ovarian cancer patients were collected from The Cancer Genome Atlas (TCGA) (https: / / portal.gdc.cancer.gov / ) database according to inclusion and exclusion criteria, including somatic mutations, clinical information, survival information, and gene expression data (FPKM - Transcripts per kilobase Fragments per million mapped reads (Fragments normalized).

[0056] Inclusion criteria were: (1) pathological diagnosis of ovarian cancer; (2) complete mRNA expression profile; (3) complete clinical data.

[0057] The exclusion criteria were: (1) non-primary ovarian cancer; (2) patients lacking mutation information and survival information; (3) patients with recurrence of ovarian cancer.

[0058] In this example, 271 ovarian cancer samples were selected as the training set, including clinical characteristics such as age, cancer status, grade, stage, and race.

[0059] The gene names of all immune genes were downloaded directly from ...

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Abstract

The invention discloses an analysis method of an immune prognosis diagnosis marker combination for the ovarian cancer. The marker combination comprises the following genes: CSPG5, CXCL10, CXCL11, DKK1, PI3, TNFRSF17, DUOX1, TNFRSF13B and PAEP. The analysis method comprises the following steps of: S1, collecting and preprocessing data; S2, performing TMB score calculation and prognosis analysis; S3, performing difference analysis; S4, constructing and evaluating a TMB-immune prognosis related risk scoring model; S5, determining the relationship between clinical pathological factors and the TMB-IRS model; S6, carrying out CIBERSORT database analysis; and S7, carrying out statistical analysis. According to the analysis method, the immune risk scoring model related to TMB is constructed through nine key tumor mutation load related immune prognosis genes of the ovarian cancer, patients are divided into a high-risk group and a low-risk group, and it is proved that the high-risk group is related to poor prognosis, and the immune cell infiltration proportion of the patients in the low-risk group is higher; and prognosis prompts are provided for clinical treatment of the ovarian cancer, and the marker combination can be used as a novel biomarker and a potential treatment target for predicting ovarian cancer prognosis.

Description

technical field [0001] The invention belongs to the field of biomolecules, and in particular relates to an analysis method for an immune prognosis diagnostic marker combination of ovarian cancer. Background technique [0002] Ovarian cancer is one of the most common malignant tumors of the female reproductive system. The global incidence rate is second only to cervical cancer, and it ranks first in the death of female reproductive system-related tumors. Because the ovary is located deep in the pelvic cavity, the body surface is not easy to touch, and ovarian cancer lacks typical symptoms, so it is difficult to diagnose in the early stage and lacks effective screening methods. In addition, the tumor grows rapidly, and most patients have spread the lesion when they see a doctor, and the prognosis is poor. The annual survival rate is only 30% to 45%. The first-line therapy for ovarian cancer includes surgery and chemotherapy, but many ovarian cancer patients are primary or sec...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16B40/00G16H50/30
CPCG16B40/00G16H50/30Y02A90/10
Inventor 崔梦晶夏倩倩王适之
Owner SOUTHEAST UNIV
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