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Method for estimating ovarian cancer prognosis by TRPC protein subtype combined detection

A technology for ovarian cancer and prognosis, applied in the direction of biological testing, material inspection products, etc., can solve the problem of not fully reflecting the state of tumor cells

Inactive Publication Date: 2011-07-20
陶祥
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Just as the various subtypes of TRPC ion channel proteins are related to each other, therefore, the detection of a single TRPC subtype cannot fully reflect the state of tumor cells

Method used

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  • Method for estimating ovarian cancer prognosis by TRPC protein subtype combined detection
  • Method for estimating ovarian cancer prognosis by TRPC protein subtype combined detection
  • Method for estimating ovarian cancer prognosis by TRPC protein subtype combined detection

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Embodiment Construction

[0011] The present invention is achieved like this:

[0012] 1) With the consent of the patient or the patient's family members, collect ovarian cancer tissue samples and clinical history data from different regions and hospitals. Specimens were immunohistochemically stained to mark TRPC1, 3, 4, 5, 6, and 7 subtypes. The expression intensity was observed under a microscope and graded. The obtained grades and clinical indicators, pathological indicators and patient prognosis are used to establish a mathematical model through multiple linear regression models, and related calculation software is produced;

[0013] 2) On this basis, when the specimens of surgical patients are sent to the pathology department for laboratory testing, in addition to routine pathological examinations, immunohistochemical staining of six TRPC subtypes of TRPC1, 3, 4, 5, 6, and 7 (using Specified company antibody, specified concentration and certain operating procedures);

[0014] 3) The stained sec...

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Abstract

The invention relates to a method applicable to the estimation of the prognosis of ovarian cancer patients after operation. Since ovarian cancer patients has high mortality and existing prognosis evaluation systems are tedious and not accurate enough, the invention is characterized in that the expression intensity of various TRPC protein subtypes are detected combinedly via a immunohistochemical method on surgical specimens of ovarian cancer patients, and the values are processed by a friendly man-machine conversation software so as to obtain a relatively accurate evaluation of ovarian cancer prognosis.

Description

1. Technical field [0001] This detection method can be applied to evaluate the prognosis of ovarian cancer patients after operation. It has a prompting effect on the selection of adjuvant therapy after surgery. 2. Background technology [0002] Ovarian cancer is a killer that seriously threatens women's health. Because it lacks typical symptoms in the early stage, it is not discovered until tumor metastasis and related symptoms appear, and the case fatality rate is high. Most of the patients need surgical treatment. The histological type and grading indicators of the surgical specimens are obtained through routine pathological diagnosis, and combined with the clinical staging indicators to judge the prognosis. The operation is complicated and the accuracy is not high. In order to judge the risk of ovarian cancer patients more accurately, to facilitate the rational use of adjuvant therapy and the determination of the follow-up period, new prognostic indicators are needed. ...

Claims

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Application Information

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IPC IPC(8): G01N33/68
Inventor 陶祥
Owner 陶祥
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