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Lnc RNA model for prediction of postoperative survival of pancreatic cancer and detection kit

A pancreatic cancer and prognosis technology, applied in the field of biomedicine, can solve the problems that cannot accurately reflect the actual stage and prognosis of patients, and achieve the effect of simple method

Pending Publication Date: 2019-03-01
AFFILIATED HUSN HOSPITAL OF FUDAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, its treatment strategy formulation and prognosis judgment mainly rely on TNM staging, but it cannot accurately reflect the actual stage and prognosis of patients
There is no clinically highly sensitive and specific molecular diagnostic method to accurately judge the prognosis of pancreatic cancer

Method used

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  • Lnc RNA model for prediction of postoperative survival of pancreatic cancer and detection kit
  • Lnc RNA model for prediction of postoperative survival of pancreatic cancer and detection kit
  • Lnc RNA model for prediction of postoperative survival of pancreatic cancer and detection kit

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0054] Construction and analysis of embodiment 1 LncRNA model

[0055] 1. Research objects:

[0056] The research objects of this implementation case are: 106 cases of pancreatic cancer tissues, which constitute the training set; 71 cases of pancreatic cancer tissues, which constitute the verification set. The inclusion and exclusion criteria are as follows:

[0057] (1) Pathological diagnosis of pancreatic cancer, ductal adenocarcinoma;

[0058] (2) No history of other tumors at the time of diagnosis;

[0059] (3) Exclude other ductal carcinoma in situ.

[0060] 2. Experimental method

[0061] (1) Collect surgically resected cancer tissue samples from patients with pancreatic cancer

[0062] (2) Extraction and purification of total RNA from pancreatic cancer tissue

[0063] Mix the resected pancreatic paracancerous tissue with TRIzol reagent at a ratio of 75 mg: 1 mL, and homogenize with a homogenizer; incubate the homogenate at room temperature for 5 minutes, add chloro...

Embodiment 2

[0068] Example 2 Verification of the LncRNA model

[0069] The lncRNA model and calculation formula obtained above were verified in another 71 pancreatic cancer patients: 71 pancreatic cancer patients formed an independent verification set, and their cancer tissues were obtained, and RNA was extracted according to the above method and passed the quality inspection, and further carried out RNA sequencing. Assign a value to each lncRNA according to the expression level and bring it into the RS formula established above to calculate the RS value and median of each patient; judge the risk of adverse prognosis of each patient based on this; through the COX multivariate proportional hazards regression model The prediction performance of the lncRNA model was further evaluated. The prediction model was used to predict the poor prognosis of 71 patients with pancreatic cancer in the verification group ( figure 1 ), the results showed that high-risk patients predicted by the model had...

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Abstract

The invention belongs to the field of biomedicines and relates to an Lnc RNA model for prediction of poor prognosis risk of pancreatic cancer patients and a detection kit. The model includes four parts: sample collection, RNA extraction, Lnc RNA measurement, and Lnc RNA expression quantity weighting calculation. The Lnc RNA includes seventeen Lnc RNAs which are obtained through screening and are related to prognosis of the pancreatic cancer. In the invention, by detecting the expression level of the Lnc RNA of patients, the model can be applied to clinical determination on prognosis of the pancreatic cancer patients; the seventeen Lnc RNAs can be used as markers for predicting postoperative survival of pancreatic cancer patients. The invention also provides the corresponding kit, by whichthe level of the Lnc RNA of the postoperative pancreatic cancer patients can be detected in order to determine the prognosis of the pancreatic cancer patients. The model and the kit are high in throughput and sensitivity.

Description

technical field [0001] The invention belongs to the field of biomedicine, and relates to a long-chain non-coding RNA (LncRNA) model and a detection kit, and its application in predicting the risk of poor prognosis of pancreatic cancer patients. Background technique [0002] According to the latest epidemiological survey, about 2.5 million people worldwide die from pancreatic cancer every year, and the death rate ranks fourth among malignant tumors. In the past 20 years, the incidence of pancreatic cancer in my country has continued to increase, and its mortality rate ranks fifth among malignant tumors. In the treatment of pancreatic cancer, the curative effects of surgery, chemotherapy and radiotherapy are not satisfactory. The 1-year survival rate after operation is less than 20%, and the 5-year survival rate is only 4%-7%. Pancreatic cancer has become one of the tumors with the most difficult early diagnosis, the highest degree of malignancy, and the worst survival progno...

Claims

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Application Information

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IPC IPC(8): C12Q1/6886C12N15/113
CPCC12Q1/6886C12Q2600/118C12Q2600/158Y02A90/10
Inventor 董琼珠钦伦秀赵晶郑燕贾户亮王超群孙豪庭
Owner AFFILIATED HUSN HOSPITAL OF FUDAN UNIV
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