Lung Cancer Biomarkers and Uses Thereof
The present application includes biomarkers, methods, devices, reagents, systems, and kits for the detection and diagnosis of non-small cell lung cancer and general cancer. In one aspect, the application provides biomarkers that can be used alone or in various combinations to diagnose non-small cell lung cancer or general cancer. In another aspect, methods are provided for diagnosing non-small cell lung cancer in an individual, where the methods include detecting, in a biological sample from an individual, at least one biomarker value corresponding to at least one biomarker selected from the group of biomarkers provided in Table 1, wherein the individual is classified as having lung cancer, or the likelihood of the individual having lung cancer is determined, based on the at least one biomarker value. In another aspect, methods are provided for diagnosing cancer in an individual, where the methods include detecting, in a biological sample from an individual, at least one biomarker value corresponding to at least one biomarker selected from the group of biomarkers provided in Table 19, wherein the individual is classified as having cancer, or the likelihood of the individual having cancer is determined, based on the at least one biomarker value.
1 . (canceled)
2 . A computer-implemented method for indicating a likelihood of cancer, the method comprising the steps of:
a) retrieving on a computer biomarker information for an individual, wherein the biomarker information comprises a plurality of biomarker values that each correspond to one of at least N biomarkers selected from Table 19, wherein N is greater than or equal to 3 and less than or equal to 12;
b) performing with the computer a classification of each of said N biomarker values to obtain a plurality of N classifications; and
c) indicating a likelihood that said individual has cancer based upon the plurality of N classifications;
thereby indicating the likelihood of cancer.
3 . A computer-implemented method for indicating a likelihood of cancer, the method comprising the steps of:
a) retrieving on a computer biomarker information for an individual, wherein the biomarker information comprises a plurality of biomarker values that each correspond to one of at least N biomarkers selected from Table 19, wherein N is greater than or equal to 3 and less than or equal to 12;
b) performing with the computer a classification of each of said N biomarker values to obtain a plurality of N classifications; and
c) indicating a likelihood that said individual has cancer based upon the plurality of N classifications;
d) wherein the retrieving step further comprises: applying a random forest classifier to the biomarkers of Table 19 to identify the N biomarkers from Table 19;
thereby indicating the likelihood of cancer.
4 . A computer-implemented method for indicating a likelihood of cancer, the method comprising the steps of:
a) retrieving on a computer biomarker information for an individual, wherein the biomarker information comprises biomarker values that each correspond to one of at least N biomarkers selected from Table 19, wherein N is greater than or equal to 3 and less than or equal to 12, and at least one of the N biomarkers is carbonic anhydrase VI (CA6);
b) performing with the computer a classification of each of said N biomarker values to obtain a plurality of N classifications; and
c) indicating a likelihood that said individual has cancer based upon the plurality of N classifications;
thereby indicating the likelihood of cancer.
5 . The computer-implemented method of claim 2 , wherein indicating the likelihood that the individual has cancer comprises displaying the likelihood on a computer display.
6 . The computer-implemented method of claim 2 , wherein for an individual identified as having a likelihood of cancer, the method further comprises the step of: administering to the individual a cancer treatment selected from the group consisting of a drug therapy, a siRNA, a cancer vaccine, and any combination thereof.
7 . The computer-implemented method of claim 2 , wherein the biomarker information is obtained by measuring protein levels from a biological sample from the individual in an in vitro assay.
8 . The computer-implemented method of claim 7 , wherein the biological sample is serum.
9 . The computer-implemented method of claim 2 , wherein the individual is a smoker.
10 . The computer-implemented method of claim 2 , wherein the individual has a pulmonary nodule.
11 . The computer-implemented method of claim 2 , wherein the biomarker information comprises one or more biomarkers selected from the group consisting of MMP12, MMP7, KLK3-SERPINA3, CRP, C9, CNDP1 and EGFR.
12 . The computer-implemented method of claim 2 , wherein the retrieving step further comprises: applying a random forest classifier to the biomarkers of Table 19 to identify the N biomarkers from Table 19.
13 . The computer-implemented method of claim 2 , wherein at least one of the N biomarkers is carbonic anhydrase VI (CA6).
14 . The computer-implemented method of claim 2 , further comprising the step of obtaining the biomarker information by:
a) contacting a biological sample from the individual with a set of capture reagents, wherein the set of capture reagents are aptamers comprising a 5-position pyrimidine modification, wherein each of the set of capture reagents binds to a different biomarker of the N biomarkers; and
b) measuring the level of each of the N biomarkers captured by the set of capture reagents.