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Plasma metabolism marker for distinguishing benign ovarian tumors from malignant ovarian tumors, and application of plasma metabolism marker

A technology for metabolic markers and ovarian malignant tumors, applied in material separation, analytical materials, measurement devices, etc., can solve the problem of no biomarkers, unsatisfactory specificity and sensitivity, and distinguish borderline ovarian tumors from malignant ovarian tumors And other issues

Active Publication Date: 2021-01-22
FUDAN UNIV
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Problems solved by technology

However, the specificity and sensitivity of the current clinically used indicators are not satisfactory, so it is necessary to develop new biomarkers or models for the diagnosis and early diagnosis of ovarian cancer
And there is currently no simple and convenient means to diagnose ovarian diseases (benign tumors, borderline tumors and malignant tumors), and there is no biomarker to distinguish borderline ovarian tumors from malignant ovarian tumors, so it is necessary to explore these two aspect biomarkers

Method used

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  • Plasma metabolism marker for distinguishing benign ovarian tumors from malignant ovarian tumors, and application of plasma metabolism marker
  • Plasma metabolism marker for distinguishing benign ovarian tumors from malignant ovarian tumors, and application of plasma metabolism marker
  • Plasma metabolism marker for distinguishing benign ovarian tumors from malignant ovarian tumors, and application of plasma metabolism marker

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Embodiment 1

[0020] 1. Participants and Study Design

[0021] A total of 420 patients with primary ovarian cancer (OC), benign ovarian tumors, borderline ovarian tumors and normal donors were recruited. Urine and plasma samples were collected from September 2016 to May 2018 from participants, aged 14 to 84 years. The selected patients did not receive any radiotherapy, chemotherapy, and did not suffer from metabolic diseases, including but not limited to liver disease, diabetes and kidney disease. In addition, patients taking drugs proven to alter metabolism were also excluded. All ovarian cancer patients in this study underwent surgery and the diagnosis was further confirmed by at least two pathologists. The discovery set of our project consisted of 326 samples (plasma and urine, respectively: 40 normal controls, 36 benign, 13 borderline, and 74 malignant. Of these, 148 participants had paired plasma and urine samples). An external cohort (plasma: 36 normal controls, 14 benign, 1 border...

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Abstract

The invention belongs to the technical field of biological medicines, particularly relates to a plasma metabolism marker for distinguishing benign ovarian tumors from malignant ovarian tumors, and application of the plasma metabolism marker, and provides a brand-new plasma diagnosis marker combination for distinguishing benign and malignant (juncture + malignant) ovarian tumors, can also be used for distinguishing benign and early malignant ovarian tumors (juncture + malignant), and has the characteristics of high accuracy and high sensitivity, wherein the AUC of a training set reaches 0.876,the AUC of a verification set is 0.896, the early diagnosis training set AUC is 0.847, and the verification set AUC is 0.988, and the effects are superior to the effects of CA125 (the AUC of the training set is 0.733, and the AUC of the verification set is 0.893). The marker combination belongs to plasma small molecule metabolites and has the advantage of being noninvasive.

Description

technical field [0001] The invention relates to the technical field of biomedicine, in particular to a plasma metabolic marker for distinguishing benign and malignant ovarian tumors and its application. Background technique [0002] Ovarian cancer (OC) is one of the deadliest cancers among gynecological malignancies, with 294,414 new ovarian cancer cases and 184,799 ovarian cancer deaths worldwide. Due to the insidious onset and the lack of effective measures such as census and early diagnosis, 80% of women are diagnosed at an advanced stage. Ovarian cancer survival is highly correlated with tumor stage. The 5-year survival rates for early-stage ovarian cancer and advanced ovarian cancer differ significantly. The 5-year survival rate of patients with FIGO stage I is as high as 92%, while the 5-year survival rate of patients with FIGO stage IV is only 5%. Therefore, early diagnosis is an effective way to improve the prognosis of ovarian cancer. [0003] Current diagnostic...

Claims

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Application Information

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IPC IPC(8): G01N30/02G01N30/06G01N30/34G01N30/86
CPCG01N30/02G01N30/06G01N30/34G01N30/8675
Inventor 刘小娜刘雷刘刚程玺陈丽华
Owner FUDAN UNIV
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