METHOD OF BREAST CANCER DETECTION
Methods of diagnosing breast cancers are provided. The methods include analyzing the expression patterns of biomarkers in a plurality of cells to distinguish between invasive and non-invasive cancers, usual and atypical hyperplasias, and basal-like breast cancers. Breast cancers are diagnosed based upon different combinations of the biomarkers found in nipple aspirate fluid.
1 . A system for classifying a breast cancer, comprising:
(a) an absorbent paper comprising microcellulose, mixed cellulose ester, or nitrocellulose for absorbing a nipple aspirate fluid sample, wherein the absorbent paper is sized to cover a nipple;
(b) antibodies that bind to an antigens on a cell in the nipple aspirate fluid sample, wherein the antigens are selected from: CK5, CK14, CK7, CK18, p63, CK7 and CK18; and
(c) a light microscope or an automated system for visualizing the antibodies bound to a cell in the nipple aspirate fluid sample.
2 . The system of claim 1 , wherein the absorbent paper is from about 1.0 to about 3.0 inches in diameter and from about 0.01 to about 0.1 inches thick.
3 . The system of claim 1 , further comprising means for visualizing the antibodies bound to the cell in the nipple aspirate fluid sample.
4 . The system of claim 3 , wherein the means for visualizing the antibodies bound to the cell in the nipple aspirate fluid sample is one or more stains.
5 . The system of claim 4 , wherein the stain is selected from horseradish peroxidase, alkaline phosphatase, diaminobenzidine, Fast Red, hematoxylin, eosin or a combination thereof.
6 . The system of claim 1 , further comprising a wash for eluting a cell in the nipple aspirate fluid sample from the absorbent paper.
7 . The system of claim 1 , further comprising: an optionally networked computer processing device configured to perform executable instructions; and a computer program, the computer program comprising a software module executed by the computer processing device to apply a model or algorithm for analyzing said cells.
8 . The system of claim 7 , wherein the computer program further comprises a software module executed by the computer processing device to designate a treatment regimen for the individual.
9 . The system of claim 7 , wherein the computer program further comprises a software module executed by the computer processing device to store photomicrograms in a database of photomicrograms.
10 . The system of claim 7 , wherein the computer program further comprises a software module executed by the computer processing device to store analysis in a database of analyses.
11 . The system of claim 7 , wherein the computer program further comprises a software module executed by the computer processing device to compare a cell in a nipple aspirate fluid sample to a standard.
12 . The system of claim 7 , wherein the computer program further comprises a software module executed by the computer processing device to transmit an analysis to a health care provider or the individual.
13 . The system of claim 7 , wherein the computer program further comprises a software module executed by the computer processing device to transmit a diagnosis to a health care provider or the individual.
14 . The system of claim 7 , wherein the computer program further comprises a software module executed by the computer processing device to generate a report comprising the analysis.
15 . The system of claim 7 , wherein the absorbent paper is a device as illustrated in FIG. 1 .
16 . A non-transitory computer-readable storage media encoded with a computer program including instructions executable by a computer processing device to create an application, the application comprising:
(a) a software module configured to apply a model or algorithm for analyzing a cell of a nipple aspirate fluid sample absorbed onto an absorbent paper that is sized to cover a nipple, and wherein the cell further comprises an antibody that binds to: CK5, CK14, CK7, CK18, p63, CK7 and CK18; and
(b) a software module configured to designate a treatment regimen for the individual.
17 . The storage media of claim 16 , wherein the absorbent paper is from about 1.0 to about 3.0 inches in diameter and from about 0.01 to about 0.1 inches thick.
18 . The storage media of claim 16 , wherein the model or algorithm compares the cell to a standard.
19 . The storage media of claim 16 , wherein the application further comprises a database, in a computer memory, of photomicrographs.
20 . The storage media of claim 16 , wherein the application further comprises a database, in a computer memory, of analyses.
21 . The storage media of claim 16 , wherein the application further comprises a software module configured to generate a report comprising the analysis.
22 . The storage media of claim 16 , wherein the absorbent paper is a device as illustrated in FIG. 1 .
23 . A method of classifying a breast cancer, comprising:
(a) contacting a cell of a nipple aspirate fluid sample absorbed onto an absorbent paper with antibodies that bind to CK5, CK14, CK7, CK18, and p63, wherein the absorbent paper is sized to cover a nipple;
(b) detecting binding of one or more of the antibodies to said cell; and
(c) classifying the cancer based upon the binding pattern of the primary antibodies;
wherein the cell derived from the nipple aspirate fluid (NAF) sample is not a tissue.
24 . The method of claim 23 , wherein the absorbent paper is from about 1.0 to about 3.0 inches in diameter and from about 0.01 to about 0.1 inches thick.
25 . The method of claim 23 , wherein detecting binding of the one or more antibodies further comprises staining the cells with a stain selected from among horseradish peroxidase, alkaline phosphatase, diaminobenzidine, Fast Red, hematoxylin, eosin and a combination thereof.
26 . The method of claim 23 , further comprising washing the absorbent paper and collecting the effluent.
27 . The method of claim 23 , wherein the absorbent paper comprises microcellulose, mixed cellulose ester, or nitrocellulose.
28 . The method of claim 23 , wherein the absorbent paper is a device as illustrated in FIG. 1 .
29 . The method of claim 23 , further comprising classifying the breast cancer as basal-like if an anti-CK5 antibody, an anti-CK14 antibody, and optionally an anti-p63, primary antibody binds to the cell.
30 . The method of claim 23 , further comprising classifying the breast cancer as luminal if (i) an anti-CK7 antibody and an anti-CK18 primary antibody bind to the cell, and (ii) an anti-CK5 antibody, and anti-CK14 antibody, and an anti-p63 antibody do not bind to the cell.
31 . The method of claim 23 , further comprising classifying the breast cancer as usual ductal hyperplasia if an anti-CK5 antibody, an anti-CK14 antibody, an anti-CK7 antibody, an anti-CK18 antibody, and an anti-p63 primary antibody bind to the cell.
32 . The method of claim 23 , further comprising classifying the cancer as atypical ductal hyperplasia if (i) the anti-CK7 antibody and anti-CK18 antibody, and optionally the anti-p63 antibody, bind to the cell, and (ii) the anti-CK5 antibody and anti-CK14 antibody do not bind to the cell.
33 . The method of claim 23 , further comprising classifying the cancer as invasive if (i) the sample comprises more than one cell and (i) the ratio of cells binding the anti-CK5 antibody, anti-CK14 antibody, and anti-p63 antibody to cells binding the anti-CK7 antibody and anti-CK18 antibody is less than or equal to an invasive control.
34 . The method of claim 23 , further comprising classifying the cancer as non-invasive if: (i) the sample comprises more than one cell, and (ii) the ratio of cells binding the anti-CK5 antibody, anti-CK14 antibody, and anti-p63 antibody to cells binding the anti-CK7 antibody and anti-CK18 antibody is greater than or equal to a non-invasive control.
35 . The method of claim 23 , wherein the NAF sample is obtained from a classical non-secretor or a classical secretor of nipple aspirate fluid.
36 . A composition comprising (a) at least one cell derived from nipple aspirate fluid absorbed onto an absorbent paper comprising microcellulose, mixed cellulose ester, or nitrocellulose for absorbing a nipple aspirate fluid sample, wherein the absorbent paper is sized to cover a nipple; and (b) antibodies that bind to an antigens on a cell in the nipple aspirate fluid sample, wherein the antigens are selected from: CK5, CK14, CK7, CK18, p63, CK7 and CK18.
37 . A system for classifying a breast cancer, comprising:
(a) an absorbent paper comprising microcellulose, mixed cellulose ester, or nitrocellulose for absorbing a nipple aspirate fluid sample, wherein the absorbent paper is sized to cover a nipple; and
(b) antibodies that bind to an antigens on a cell in the nipple aspirate fluid sample, wherein the antigens are selected from: CK5, CK14, CK7, CK18, p63, CK7 and CK18.
38 . The system of claim 37 , further comprising a light microscope or an automated system for visualizing the antibodies bound to a cell in the nipple aspirate fluid sample.
39 . The system of claim 37 , wherein the absorbent paper is from about 1.0 to about 3.0 inches in diameter and from about 0.01 to about 0.1 inches thick.
40 . The system of claim 37 , further comprising means for visualizing the antibodies bound to the cell in the nipple aspirate fluid sample.
41 . The system of claim 40 , wherein the means for visualizing the antibodies bound to the cell in the nipple aspirate fluid sample is one or more stains.
42 . The system of claim 41 , wherein the stain is selected from horseradish peroxidase, alkaline phosphatase, diaminobenzidine, Fast Red, hematoxylin, eosin or a combination thereof.
43 . The system of claim 37 , further comprising a wash for eluting a cell in the nipple aspirate fluid sample from the absorbent paper.
44 . The system of claim 37 , further comprising: an optionally networked computer processing device configured to perform executable instructions; and a computer program, the computer program comprising a software module executed by the computer processing device to apply a model or algorithm for analyzing said cells.
45 . The system of claim 44 , wherein the computer program further comprises a software module executed by the computer processing device to designate a treatment regimen for the individual.
46 . The system of claim 44 , wherein the computer program further comprises a software module executed by the computer processing device to store photomicrograms in a database of photomicrograms.
47 . The system of claim 44 , wherein the computer program further comprises a software module executed by the computer processing device to store analysis in a database of analyses.
48 . The system of claim 44 , wherein the computer program further comprises a software module executed by the computer processing device to compare a cell in a nipple aspirate fluid sample to a standard.
49 . The system of claim 44 , wherein the computer program further comprises a software module executed by the computer processing device to transmit an analysis to a health care provider or the individual.
50 . The system of claim 44 , wherein the computer program further comprises a software module executed by the computer processing device to transmit a diagnosis to a health care provider or the individual.
51 . The system of claim 44 , wherein the computer program further comprises a software module executed by the computer processing device to generate a report comprising the analysis.
52 . The system of claim 44 , wherein the absorbent paper is a device as illustrated in FIG. 1 .