Gene expression profile algorithm for calculating a recurrence score for a patient with kidney cancer
The present invention provides algorithm-based molecular assays that involve measurement of expression levels of genes from a biological sample obtained from a kidney cancer patient. The present invention also provides methods of obtaining a quantitative score for a patient with kidney cancer based on measurement of expression levels of genes from a biological sample obtained from a kidney cancer patient. The genes may be grouped into functional gene subsets for calculating the quantitative score and the gene subsets may be weighted according to their contribution to cancer recurrence.
1. A method for obtaining a quantitative score for a patient with kidney cancer, comprising:
measuring a level of RNA transcripts in a tumor sample obtained from the patient from a set of genes, the set of genes consisting of: APOLD1, EDNRB, NOS3, PPAP2B, EIF4EBP1, LMNB1, TUBB2A, CCL5, CEACAM1, CX3CL1, and IL-6 and at least one reference gene;
normalizing the level of the RNA transcripts of APOLD1, EDNRB, NOS3, PPAP2B, EIF4EBP1, LMNB1, TUBB2A, CCL5, CEACAM1, CX3CL1, and IL-6 against a level of the RNA transcript of the at least one reference gene to provide a normalized level of the RNA transcripts of APOLD1, EDNRB, NOS3, PPAP2B, EIF4EBP1, LMNB1, TUBB2A, CCL5, CEACAM1, CX3CL1, and IL-6; and
calculating a quantitative score result based on the normalized RNA transcript levels of CCL5, CEACAM1, and CXCL3, wherein the quantitative score is calculated as: (0.5CCL5+CEACAM1+CX3CL1)/3, where the gene name represents the normalized RNA transcript level of the named gene.
2. The method of claim 1 , wherein the kidney cancer is renal cell carcinoma (RCC).
3. The method of claim 1 , wherein the kidney cancer is clear cell renal cell carcinoma (ccRCC).
4. The method of claim 1 , wherein the tumor sample is obtained from a biopsy.
5. The method of claim 1 , wherein the tumor sample is paraffin-embedded and fixed.
6. The method of claim 1 , further comprising generating a report comprising the quantitative score.
7. The method of claim 1 , further comprising predicting a likelihood of recurrence of kidney cancer based on the quantitative score, wherein the quantitative score negatively correlates with risk of recurrence of kidney cancer.
8. The method of claim 1 , further comprising classifying the patient's risk of recurrence of kidney cancer based on the quantitative score by comparing the quantitative score to a quantitative score associated with average risk of recurrence for kidney cancer patients.
9. The method of claim 8 , wherein an increase in the quantitative score correlates with reduced risk of recurrence.
10. A method for obtaining a quantitative score for a patient with kidney cancer, comprising:
measuring a level of RNA transcripts in a tumor sample obtained from the patient from a set of up to 11 genes, the set of genes comprising CCL5, CEACAM1, and CX3CL1 and at least one reference gene;
normalizing the level of the RNA transcripts of CCL5, CEACAM1, and CX3CL1 against a level of the RNA transcript of the at least one reference gene to provide a normalized level of the RNA transcripts of CCL5, CEACAM1, and CX3CL1; and
calculating a quantitative score result based on the normalized RNA transcript levels of CCL5, CEACAM1, and CXCL3, wherein the quantitative score is calculated as: (0.5CCL5+CEACAM1+CX3CL1)/3, where the gene name represents the normalized RNA transcript level of the named gene.
11. The method of claim 10 , wherein the kidney cancer is renal cell carcinoma (RCC).
12. The method of claim 10 , wherein the kidney cancer is clear cell renal cell carcinoma (ccRCC).
13. The method of claim 10 , wherein the tumor sample is obtained from a biopsy.
14. The method of claim 10 , wherein the tumor sample is paraffin-embedded and fixed.
15. The method of claim 10 , further comprising generating a report comprising the quantitative score.
16. The method of claim 10 , wherein the set of up to 11 genes further comprises at least one of APOLD1, EDNRB, NOS3, PPAP2B, EIF4EBP1, LMNB1, TUBB2A, and IL-6.
17. The method of claim 10 , further comprising predicting a likelihood of recurrence of kidney cancer based on the quantitative score, wherein the quantitative score negatively correlates with risk of recurrence of kidney cancer.
18. The method of claim 10 , further comprising classifying the patient's risk of recurrence of kidney cancer based on the quantitative score by comparing the quantitative score to a quantitative score associated with average risk of recurrence for kidney cancer patients.
19. The method of claim 18 , wherein an increase in the quantitative score correlates with reduced risk of recurrence.