Assay to detect a gynecological condition
AssigneeHealthlinx Limited
InventorsDominic J. Autelitano, Tracey A. Edgell, Nick Gatsios, Leodevico L. Ilag
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Abstract
The present invention relates generally to the field of diagnostic and prognostic assays for a gynecological condition. More particularly, the present invention provides an assay for diagnosing the presence of or a risk of having a gynecological cancer or a sub-type thereof or a stage of the cancer or complications arising therefrom or other gynecological condition including an inflammatory disorder.
Claims23
A method of allowing a user to determine the status of a subject with respect to a gynecological cancer or subtype thereof or stage of cancer the status selected from whether or not the cancer is benign, invasive or non-invasive and its progression, the method comprising:
- (a) receiving data in the form of levels or concentrations of CA125 and one or more of AGR-2, midkine and CRP or a functional homolog thereof from the user via a communications network;
- (b) processing the subject data via a multivariate analysis to provide a disease index value;
- (c) determining the status of the subject in accordance with the results of the disease index value in comparison with predetermined values;
- and
- (d) transferring an indication of the status of the subject to the user via the communications network;
- (e) having the user determine the data using a remote end station;
- and
- (f) transferring the data from the end station to a base station via the communications network.
An assay for determining the presence of a gynecological condition in a subject, from whether or not the cancer is benign, invasive or non-invasive and its progression, said assay comprising determining levels of biomarkers in a biological sample from said subject wherein said biomarker is CA125 and at least one selected from AGR-2, midkine and CRP or modified or homolog forms wherein the levels of the biomarkers are subjected to a multivariate analysis algorithm generated from a first knowledge base of data comprising the levels of the same biomarkers from a subject of known status with respect to the condition wherein the algorithm provides an index of probability of the subject having or not having the condition.
Use of data in the form of levels or concentrations of CA125 and one or more of AGR-2, midkine and CRP or a functional analog thereof received by a user via a communications network and processed via multivariate analysis to provide a disease index value, in the generation of an assay which determines the status of a subject in accordance with the disease index value compared with predetermined values, which disease is ovarian cancer or other gynecological condition, which status is transferred to the user via the communications network, which user has a remote end station who transfers the data from the end station to a base station via the communications network.
A method for monitoring the progression of a gynecological condition in a patient, the condition selected from whether or not the cancer is benign, invasive or non-invasive and its progression comprising:
- (a) providing a sample from a patient;
- (b) determining the level of CA125 and one or more of AGR-2, midkine and/or CRP or a functional homolog thereof and comparing the levels to a control or control database to provide an index of probability of the patient having a gynecological condition;
- and
- (c) repeating steps (a) and (b) at a later point in time and comparing the result of step (b) with the result of step (c) wherein a difference in the index of probability is indicative of the progression of the condition in the patient.
A method for determining whether or not a gynecological cancer is benign in a patient comprising:
- (a) providing a sample from the patient;
- (b) detecting the level of CA125 and one or more of AGR-2, midkine and/or CRP or a functional homolog thereof and comparing the levels to a control or control database to provide an index of probability of the patient having a gynecological cancer;
- and
- (c) monitoring the indices of probability over time wherein a reduced index over time indicates that the cancer is benign.
A method for distinguishing between non-invasive and invasive gynecological cancers, comprising:
- (a) providing a sample from a patient;
- (b) determining the level of CA125 and one or more of AGR-2, midkine and/or CRP or a functional homolog thereof and comparing the levels to a control or control database to provide an index of probability of the patient having an invasive or non-invasive gynecological cancer;
- and
- (c) comparing the indices of probability over time wherein an increased index indicates that the cancer is invasive.
A method for determining the potential risk to a patient of developing gynecological neoplasms, comprising:
- (a) providing a sample from the patient;
- (b) detecting the level of CA125 and one or more of AGR-2, midkine and/or CRP or a functional homolog thereof and comparing the levels to a control or control database to provide an index of probability of the patient having a gynecological condition;
- and
- (c) comparing the indices of probability over time wherein a decreased index indicates that a patient is at a low risk of developing gynecological neoplasms.
A method of treating a patient with a gynecological condition the method comprising subjecting the patient to a diagnostic assay to determine an index of probability of the patient having the condition, the biomarkers selected from CA125 and one or more of AGR-2, midkine, and/or CRP or a functional homolog thereof;
- and where there is a risk of the patient having the condition, subjecting the patient to surgical ablation, chemotherapy and/or radiotherapy;
- and then monitoring index of probability over time.
A method of treating a patient with ovarian cancer the method comprising subjecting the patient to a diagnostic assay to determine an index of probability of the patient having the cancer, the biomarkers selected from CA125 and one or more of AGR-2, midkine, and/or CRP or a functional homolog thereof;
- and where there is a risk of the patient having the condition, subjecting the patient to surgical ablation, chemotherapy and/or radiotherapy;
- and then monitoring index of probability over time.
Dependencies are inferred from the claim text.