US 10,744,116 B2 · Detection and treatment of anti-PD-1 therapy resistant metastatic melanomas

Abstract

Methods of predicting or detecting sensitivity to therapeutic effects of anti-PD-1 therapy in a patient suffering from melanoma, as well as for selecting somatic mutanomes and transcriptomes of melanoma biopsies. A tumor sample obtained from the patient is assayed for a measure of anti-PD-1 therapy sensitivity via, for example, whole transcriptome sequencing, antibody based protein quantifications, mass spectrometry based protein quantification, targeted mRNA sequencing, real-time RT-PCR, Sanger sequencing, targeted sequencing and/or whole exome/genome sequencing. Samples are selected that exhibit a higher first enrichment similarity score and/or a lower second enrichment similarity score, and/or at least one measure of sensitivity. A patient whose sample was selected herein as a candidate for anti-PD-1 therapy is thereby identified. The method of the invention can further comprise treating the patient with anti-PD-1 therapy, optionally in conjunction with combinatorial therapy.

A method of administering anti-PD-1 therapy to a patient suffering from melanoma, the method comprising:

(a) assaying a tumor sample obtained from the patient for a measure of anti-PD-1 therapy sensitivity, wherein the measure of sensitivity is selected from:
(1) gene set enrichment/variation analysis of the tumor sample for:
(i) mesenchymal transition genes (AXL, ROR2, WNT5A, LOXL2, TWIST2, TAGLN, FAP and the genes listed in Supplementary Table S2C under the gene set “MAPKi induced EMT”) and negative marker of mesenchymal transition (CDH1),
(ii) immunosuppressive genes (IL10, VEGFA, VEGFC), and monocyte and macrophage chemotactic genes (CCL2, CCL7, CCL8 and CCL13),
(iii) cell adhesion genes (listed in Table S2C under the gene sets “DTPP_Cell_Adhesion_UP”, “PLX2D_Cell_Adhesion_UP”, and genes in table S2A which are members of the gene ontology term cell adhesion:
NRP1, CCL2, NPNT, EDIL3, MMRN1, DCHS1, ITGBL1, WISP1, COL7A1, COL6A3, COL6A2, COL6A1, COL12A1, ESAM, COL8A1, LOXL2, HAPLN1, EGFL6, COL13A1, SDK1, NID1, AJAP1, SSPN, CERCAM, EMILIN1, CTNNA2, TNFAIP6, CDH13, HAS1, LAMC3, ITGA5, ITGA8, FBLN5, FBLN7, ROR2, VCAN, JAM2,
(iv) extracellular membrane organization genes (genes listed in table S2A which are members of the gene ontology term extracellular matrix organization:
LUM, ELN, OLFML2A, NID1, SERPINH1, COL5A2, EMILIN1, ITGA8, FBLN5, FOXF1, COL6A2, COL12A1, FOXC2),
(v) wound healing genes (listed in Table S2C under the gene sets “EP_RESP_TO_WOUNDING_DN_IN_R”, “PH_RESP_TO_WOUNDING_DN_IN_R”, “MS_RESP_TO_WOUNDING_UP_IN_MAPKi_aPDL1_NR”, “DTPP_RESP_TO_WOUNDING_UP”, and genes in table S2A which are members of the gene ontology term response to wounding:
F2RL2, F2RL3, CCL3, NRP1, CCL2, CCL8, MECOM, MMRN1, GAL, TIMP3, CCL7, IL10, PLAUR, IL17D, TNFAIP6, CCL13, PROCR, ITGA5, F3, FBLN5, SERPINE1, NFATC4, VCAN, ID3, NGF), and/or
(vi) angiogenesis genes (listed in Table S2C under the gene sets “MAPKi_INDUCED_ANGIOGENESIS”, “EP_BLOOD_VESS_DEVEL_DN_IN_R”, “PH_BLOOD_VESS_DEVEL_DN_IN_R”, “MAPKR_BLOOD_VESS_DEVEL_UP”, “DTPP_BLOOD_VESS_DEVEL_UP”, “DTP_BLOOD_VESS_DEVEL_UP”, and genes in table S2A which are members of the gene ontology term vasculature development:
NRP1, FLT1, EFNB2, PRRX1, ENPEP, MMP2, GJA5, EDNRA, CDH13, VEGFC, ACE, ID1, FOXF1, VEGFA, FOXC2, ANGPT2);
wherein the gene set enrichment/variation analysis comprises determining a first enrichment similarity (variation) score indicative of statistical similarity between the level of mRNA expression, protein expression, and/or protein phosphorylation/acetylation of one or more (e.g., four, in one embodiment) of the genes listed in (i) to (vi) and a first reference set representative of tumors known to be sensitive to anti-PD-1 therapy, and determining a second enrichment similarity (variation) score indicative of statistical similarity between the level of mRNA expression, protein expression, and/or protein phosphorylation/acetylation of one or more of the genes listed in (i) to (vi) and a second reference set representative of tumors known to be unresponsive to anti-PD-1 therapy;
(2) non-synonymous mutations in BRCA2 and/or MTOR (mammalian target of rapamycin) genes, and/or loss of function indicated by mRNA expression loss and/or protein based assays of same;
and
(3) increased mutational load in one or more cell adhesion-associated genes (genes in Table S2C under the gene sets “DTPP_Cell_Adhesion_UP”, “PLX2D_Cell_Adhesion_UP”, genes in table S2A which are members of the cell adhesion gene ontology terms:
NRP1, CCL2, NPNT, EDIL3, MMRN1, DCHS1, ITGBL1, WISP1, COL7A1, COL6A3, COL6A2, COL6A1, COL12A1, ESAM, COL8A1, LOXL2, HAPLN1, EGFL6, COL13A1, SDK1, NID1, AJAP1, SSPN, CERCAM, EMILIN1, CTNNA2, TNFAIP6, CDH13, HAS1, LAMC3, ITGA5, ITGA8, FBLN5, FBLN7, ROR2, VCAN, JAM2);
and
(b) selecting samples that exhibit a higher first variation score and/or a lower second variation score in (1), and/or at least one measure of sensitivity identified in (2) and/or (3);
and
(c) administering anti-PD-1 therapy to the patient whose sample was selected in (b).

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Detection and treatment of anti-PD-1 therapy resistant metastatic melanomas

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Detection and treatment of anti-PD-1 therapy resistant metastatic melanomas

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Abstract

Claims20