Biomarkers and methods to predict response to inhibitors and uses thereof
Disclosed herein are markers associated with sensitivity to treatment with therapeutic agents. Methods to identify markers for predicting outcome to treatment with a therapeutic agent are disclosed as well as methods to predict outcome of treatment using markers. Compositions and methods are provided to predict response to NAE inhibition or EGFR inhibition treatment.
1. A method of treating a patient having cancer, the method comprising administering an NAE inhibitor that is ((1S,2S,4R)-4-{4-[(1S)-2,3-dihydro-1H-inden-1-ylamino]-7H-pyrrolo[2,3-d]pyrimidin-7-yl}-2-hydroxycyclopentyl)methyl sulphamate or a pharmaceutically acceptable salt thereof to a patient having a marker gene set consisting of markers 1-3 and 5-45 of Table 1, wherein sensitivity of the patient's cancer to the NAE inhibitor is determined using a partial least squares regression (PLSR)-based algorithm to generate a predictive outcome score based on the gene expression levels of the gene markers and comparing the predictive outcome score to a cutoff value.
2. The method of claim 1 , wherein the gene markers comprises at least one marker in a pathway selected from the group consisting of TGFbeta-SMAD signaling pathway, adhesion receptor-induced signaling pathway, c-myc transcription factor pathway and c-myb transcription factor pathway.
3. The method of claim 1 , wherein the cancer is a hematological cancer or a solid tumor cancer.
4. The method of claim 3 , wherein the solid tumor cancer is selected from the group consisting of skin cancer, breast cancer, colon cancer, lung cancer, pancreatic cancer, esophageal cancer, bladder cancer, and head and neck cancer.
5. The method of claim 3 , wherein the hematological cancer is selected from the group consisting of myeloma, leukemia, lymphoma, and myelodysplastic syndrome.
6. The method of claim 3 , wherein the hematological cancer is selected from the group consisting of multiple myeloma, Waldenstrom's syndrome, chronic lymphocytic leukemia, acute myelogenous leukemia, chronic myelogenous leukemia, B-cell lymphomas, monocytic leukemia, or non-Hodgkin's lymphoma.
7. The method of claim 1 , wherein the pharmaceutically acceptable salt is a hydrochloride salt.
8. The method of claim 1 , wherein the cutoff value is a separation cutoff value.
9. The method of claim 1 , wherein the predictive outcome score is expressed in terms of log 2 (IC50) of the NAE inhibitor.
10. The method of claim 9 , wherein the log 2 (IC50) has a cutoff value range of −3 to 1.0.
11. The method of claim 1 , wherein a predictive outcome score below the cutoff value indicates sensitivity to the NAE inhibitor.
12. A method of treating a patient having cancer, the method comprising administering an NAE inhibitor that is ((1S,2S,4R)-4-{4-[(1S)-2,3-dihydro-1H-inden-1-ylamino]-7H-pyrrolo[2,3-d]pyrimidin-7-yl}-2-hydroxycyclopentyl)methyl sulphamate or a pharmaceutically acceptable salt thereof to a patient having a marker gene set comprising at least one gene marker selected from the group consisting of markers 1, 2, 3 and 4 identified in Table 1, wherein sensitivity of the patient's cancer to the NAE inhibitor is determined using a partial least squares regression (PLSR)-based algorithm to generate a predictive outcome score based on the gene expression levels of the at least one gene marker and comparing the predictive outcome score to a cutoff value.
13. The method of claim 12 , wherein the patient has at least one additional gene marker selected from the group consisting of marker 46, marker 47, or both marker 46 and marker 47 identified in Table 1.
14. The method of claim 13 , wherein the at least one gene marker comprises at least one marker in a pathway selected from the group consisting of TGFbeta-SMAD signaling pathway, adhesion receptor-induced signaling pathway, c-myc transcription factor pathway and c-myb transcription factor pathway.
15. The method of claim 12 , wherein the cancer is a hematological cancer or a solid tumor cancer.
16. The method of claim 15 , wherein the solid tumor cancer is selected from the group consisting of skin cancer, breast cancer, colon cancer, lung cancer, pancreatic cancer, esophageal cancer, bladder cancer, and head and neck cancer.
17. The method of claim 15 , wherein the hematological cancer is selected from the group consisting of myeloma, leukemia, lymphoma, and myelodysplastic syndrome.
18. The method of claim 15 , wherein the hematological cancer is selected from the group consisting of multiple myeloma, Waldenstrom's syndrome, chronic lymphocytic leukemia, acute myelogenous leukemia, chronic myelogenous leukemia, B-cell lymphomas, monocytic leukemia, or non-Hodgkin's lymphoma.
19. The method of claim 12 , wherein the marker gene set consists of markers 1-3 and 5-45 of Table 1.
20. The method of claim 12 , wherein the marker gene set consists of the markers 1-69 of Table 1.
21. The method of claim 12 , wherein the cutoff value is a separation cutoff value.
22. The method of claim 12 , wherein the predictive outcome score is expressed in terms of log 2 (IC50) of the NAE inhibitor.
23. The method of claim 22 , wherein the log 2 (IC50) has a cutoff value range of −3 to 1.0.
24. The method of claim 22 , wherein a predictive outcome score below the cutoff value indicates sensitivity to the NAE inhibitor.
25. The method of claim 12 , wherein the pharmaceutically acceptable salt is a hydrochloride salt.
26. A method of treating a patient having cancer, the method comprising administering an NAE inhibitor that is ((1S,2S,4R)-4-{4-[(1S)-2,3-dihydro-1H-inden-1-ylamino]-7H-pyrrolo[2,3-d]pyrimidin-7-yl}-2-hydroxycyclopentyl)methyl sulphamate or a pharmaceutically acceptable salt thereof to a patient having a marker gene set consisting of markers 1-69 of Table 1, wherein sensitivity of the patient's cancer to the NAE inhibitor is determined using a partial least squares regression (PLSR)-based algorithm to generate a predictive outcome score based on the gene expression levels of the gene markers and comparing the predictive outcome score to a cutoff value.