Methods for diagnosing RCC and other solid tumors
Methods, systems and equipment for diagnosing renal cell carcinoma (RCC) and other solid tumors. This invention identifies numerous disease genes that are differentially expressed in the peripheral blood of patients having RCC or other solid tumors relative to disease-free humans. These disease genes can be used as surrogate markers for detecting the presence or absence of RCC or other solid tumors.
1. A method for confirming a diagnosis of renal cell carcinoma (RCC) in a human, the method comprising the steps of:
a) providing at least one peripheral blood sample of a human;
b) generating an expression profile comprising expression levels of two RCC disease genes in said at least one peripheral blood sample of the human;
c) comparing the expression profile generated in step b) to at least one reference expression profile comprising expression levels of said two RCC disease genes wherein the reference expression profile is obtained from peripheral blood samples from patients having RCC or peripheral blood samples from disease-free humans, wherein said comparison is used to indicate the presence or absence of RCC in the human; and
wherein (i) the human has a prior diagnosis of RCC and (ii) said two RCC disease genes are eukaryotic elongation factor 1 alpha 2 (EEF1A2, SEQ ID NO:285) and toll-like receptor 2 (TLR2, SEQ ID NO:1).
2. The method according to claim 1 , wherein said peripheral blood sample comprises enriched peripheral blood mononuclear cells (PBMCs).
3. The method according to claim 1 , wherein said peripheral blood sample is a whole blood sample.
4. The method according to claim 1 , wherein the expression profile generated in step (b) is generated using quantitative RT-PCR or an immunoassay.
5. The method according to claim 1 , wherein said at least one reference expression profile comprises a reference expression profile comprising expression levels of said two RCC disease genes in peripheral blood samples of disease-free humans.
6. The method according to claim 5 , wherein said at least one reference expression profile further comprises a reference expression profile comprising expression levels of said two RCC disease genes in peripheral blood samples of patients having RCC.
7. The method according to claim 6 , wherein the expression profile generated in step (b) is compared to said at least one reference expression profile using a weighted voting algorithm.