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Prediction reagent kit for early stage primary liver cancer patient postoperative metastasis and recurrence based on immune molecule

A technology of primary liver cancer and immune molecules, applied in the biological field, can solve the problems involving many indicators and difficult clinical application, and achieve simple, feasible and reliable results of gene expression level

Inactive Publication Date: 2009-07-15
ZHONGSHAN HOSPITAL FUDAN UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, this model is difficult to apply clinically due to the many indicators involved. On this basis, further exploration of the expression levels of 17 immune-related genes can predict the prognosis of liver cancer.
At present, how to optimize the existing predictors to guide the treatment of liver cancer still faces great challenges

Method used

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  • Prediction reagent kit for early stage primary liver cancer patient postoperative metastasis and recurrence based on immune molecule
  • Prediction reagent kit for early stage primary liver cancer patient postoperative metastasis and recurrence based on immune molecule

Examples

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Embodiment 1

[0027] A kit for predicting postoperative metastasis and recurrence of patients with early primary liver cancer based on immune molecules, including interleukin 2 amplification detection reagents, internal reference gene amplification detection reagents, normal liver tissue control substances, negative control substances, positive control substances, RNase-free water;

[0028] Wherein, the interleukin 2 amplification detection reagent consists of 10mmol / L tris hydrochloride, 2.5mM magnesium chloride, 0.35pmol / ul deoxyribonucleotide triphosphate, 0.10U / Taq enzyme, 0.35pmol fluorescent label Interleukin-2 self-quenching probe and primers, 20u / ul RNase inhibitor and water;

[0029] Internal reference gene amplification detection reagent consists of 10mmol / L Tris hydrochloride, 2.5mM magnesium chloride, 0.35pmol / ul deoxyribonucleotide triphosphate, 0.10U / Taq enzyme, 0.35pmol fluorescently labeled 3-phosphoglycerol Aldehyde dehydrogenase gene self-quenching probe and primer, 20u / u...

Embodiment 2

[0039] A kit for predicting postoperative metastasis and recurrence of patients with early primary liver cancer based on immune molecules, including interleukin 2 amplification detection reagents, internal reference gene amplification detection reagents, normal liver tissue control substances, negative control substances, positive control substances, RNase-free water;

[0040] Wherein, the interleukin 2 amplification detection reagent consists of 5mmol / L Tris hydrochloride, 2.0mM magnesium chloride, 0.3pmol / ul deoxyribonucleotide triphosphate, 0.05U / Taq enzyme, 0.3pmol fluorescent label Interleukin-2 self-quenching probe and primers, 10u / ul RNase inhibitor and water;

[0041] The internal reference gene amplification detection reagent consists of 5mmol / L Tris hydrochloride, 2.0mM magnesium chloride, 0.3pmol / ul deoxyribonucleotide triphosphate, 0.05U / Taq enzyme, 0.3pmol fluorescently labeled 3-phosphoglycerol Aldehyde dehydrogenase gene self-quenching probe and primer, 10u / ul ...

Embodiment 3

[0048] A kit for predicting postoperative metastasis and recurrence of patients with early primary liver cancer based on immune molecules, including interleukin 2 amplification detection reagents, internal reference gene amplification detection reagents, normal liver tissue control substances, negative control substances, positive control substances, RNase-free water;

[0049] Wherein, the interleukin 2 amplification detection reagent consists of 15mmol / L tris hydrochloride, 3.0mM magnesium chloride, 0.4pmol / ul deoxyribonucleotide triphosphate, 0.15U / Taq enzyme, 0.4pmol fluorescent label Interleukin-2 self-quenching probe and primer, 30u / ul RNase inhibitor and water;

[0050] The internal reference gene amplification detection reagent consists of 15mmol / L Tris hydrochloride, 3.0mM magnesium chloride, 0.4pmol / ul deoxyribonucleotide triphosphate, 0.15U / Taq enzyme, 0.4pmol fluorescently labeled 3-phosphoglycerol Aldehyde dehydrogenase gene self-quenching probe and primer, 30u / ul...

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Abstract

The invention provides a prediction kit for the recurrence and metastasis after resection of an early primary carcinoma patient based on immune molecules. The prediction kit is characterized in that the prediction kit comprises interleukin 2 amplification detection reagent, reference gene amplification detection reagent, a reference substance, a positive reference substance and non-RNA enzyme water. The interleukin 2 gene messenger ribonucleic acid expression amount of the invention is taken as a marker which is obviously superior to clinical indexes that are currently used for predicting the postoperative recurrence and survival of the patients with liver cancer and as a prognosis judgment biomarker of the early patients with liver cancer.

Description

technical field [0001] The invention relates to an immune molecule-based prediction kit for postoperative metastasis and recurrence of patients with early primary liver cancer, which belongs to the field of biotechnology. Background technique [0002] Primary hepatocellular carcinoma (referred to as liver cancer) is the second cause of cancer death in my country. Surgery is currently the main treatment for early liver cancer. The bottleneck of long-term curative effect is also an important key to overcome liver cancer. If it is possible to predict the early metastasis and recurrence of specific groups after radical resection of liver cancer and provide timely intervention and treatment to achieve early detection and early treatment, the survival rate of patients with recurrence after radical resection will be further improved, and there will also be significant social benefits and Exploring new simple biomarkers with diagnostic value will greatly prolong the postoperative su...

Claims

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Application Information

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IPC IPC(8): C12Q1/68
Inventor 史炯钦伦秀周海军贾户亮叶青海
Owner ZHONGSHAN HOSPITAL FUDAN UNIV
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