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Patient demographic of low and high quartiles of HMOX1 expressing tumors from the METABRIC dataset

Purpose: Unprecedented clinical outcomes have been achieved in a variety of cancers by targeting immune checkpoint molecules. This preclinical study investigates heme oxygenase-1 (HO-1), an immunosuppressive enzyme that is expressed in a wide variety of cancers, as a potential immune checkpoint target in the context of a chemotherapy-elicited antitumor immune response. We evaluate repurposing tin mesoporphyrin (SnMP), which has demonstrated safety and efficacy targeting hepatic HO in the clinic for the treatment of hyperbilirubinemia, as an immune checkpoint blockade therapy for the treatment of cancer.Experimental Design: SnMP and genetic inactivation of myeloid HO-1 were evaluated alongside 5-fluorouracil in an aggressive spontaneous murine model of breast cancer (MMTV-PyMT). Single-cell RNA sequencing analysis, tumor microarray, and clinical survival data from breast cancer patients were used to support the clinical relevance of our observations.Results: We demonstrate that SnMP inhibits immune suppression of chemotherapy-elicited CD8+ T cells by targeting myeloid HO-1 activity in the tumor microenvironment. Microarray and survival data from breast cancer patients reveal that HO-1 is a poor prognostic factor in patients receiving chemotherapy. Single-cell RNA-sequencing analysis suggests that the myeloid lineage is a significant source of HO-1 expression, and is co-expressed with the immune checkpoints PD-L1/2 in human breast tumors. In vivo, we therapeutically compare the efficacy of targeting these two pathways alongside immune-stimulating chemotherapy, and demonstrate that the efficacy of SnMP compares favorably with PD-1 blockade in preclinical models.Conclusions: SnMP could represent a novel immune checkpoint therapy, which may improve the immunological response to chemotherapy. Clin Cancer Res; 24(7); 1617–28. ©2018 AACR.

Supplementary Figure S1â",HO-1 expression in MMTV-PyMT tumors; Supplementary Figure S2â",Effects of SnMP and chemotherapy combination therapy; Supplementary Figure S3â",HO-1+ TAMs in murine models of breast cancer; Supplementary Figure S4â",Genetic inactivation and therapeutic inhibition of myeloid HO-1 in the MMTV-PyMT model; Supplementary Figure S5â",HO-1 in human cancer; Supplementary Figure S6â",tSNE clustering identifies stromal and epithelial cell types from breast cancer patient single-cell RNA sequencing data; Supplementary Figure 7â", Single cell RNA-Seq gene expression for checkpoint molecules grouped by inferred cell type; Supplementary Figure S8â",HO-1 protein in myeloid cells in human cancer; Supplementary Figure S9â", Comparative efficacies of therapeutically targeting HO-1 and PD-1 alongside paclitaxel treatment in 4T1 tumors; Supplementary Figure S10â",Improving checkpoint blockade therapy using SnMP.

Metastatic and high-risk localized prostate cancer respond to hormone therapy but outcomes vary. Following a pre-specified statistical plan, we used Cox models adjusted for clinical variables to test associations with survival of multi-gene expression-based classifiers from 781 patients randomized to androgen deprivation with or without abiraterone in the STAMPEDE trial. Decipher score was strongly prognostic (p-5) and identified clinically-relevant differences in absolute benefit, especially for localized cancers. In metastatic disease, classifiers of proliferation, PTEN or TP53 loss and treatment-persistent cells were prognostic. In localized disease, androgen receptor activity was protective whilst interferon signaling (that strongly associated with tumor lymphocyte infiltration) was detrimental. Post-Operative Radiation-Therapy Outcomes Score was prognostic in localized but not metastatic disease (interaction p=0.0001) suggesting the impact of tumor biology on clinical outcome is context-dependent on metastatic state. Transcriptome-wide testing has clinical utility for advanced prostate cancer and identified worse outcomes for localized cancers with tumor-promoting inflammation.

Purpose: Unprecedented clinical outcomes have been achieved in a variety of cancers by targeting immune checkpoint molecules. This preclinical study investigates heme oxygenase-1 (HO-1), an immunosuppressive enzyme that is expressed in a wide variety of cancers, as a potential immune checkpoint target in the context of a chemotherapy-elicited antitumor immune response. We evaluate repurposing tin mesoporphyrin (SnMP), which has demonstrated safety and efficacy targeting hepatic HO in the clinic for the treatment of hyperbilirubinemia, as an immune checkpoint blockade therapy for the treatment of cancer. Experimental Design: SnMP and genetic inactivation of myeloid HO-1 were evaluated alongside 5-fluorouracil in an aggressive spontaneous murine model of breast cancer (MMTV-PyMT). Single-cell RNA sequencing analysis, tumor microarray, and clinical survival data from breast cancer patients were used to support the clinical relevance of our observations. Results: We demonstrate that SnMP inhibits immune suppression of chemotherapy-elicited CD8+ T cells by targeting myeloid HO-1 activity in the tumor microenvironment. Microarray and survival data from breast cancer patients reveal that HO-1 is a poor prognostic factor in patients receiving chemotherapy. Single-cell RNA-sequencing analysis suggests that the myeloid lineage is a significant source of HO-1 expression, and is co-expressed with the immune checkpoints PD-L1/2 in human breast tumors. In vivo, we therapeutically compare the efficacy of targeting these two pathways alongside immune-stimulating chemotherapy, and demonstrate that the efficacy of SnMP compares favorably with PD-1 blockade in preclinical models. Conclusions: SnMP could represent a novel immune checkpoint therapy, which may improve the immunological response to chemotherapy. Clin Cancer Res; 24(7); 1617–28. ©2018 AACR.

The evolutionary features of clear-cell renal cell carcinoma (ccRCC) have not been systematically studied to date. We analyzed 1,206 primary tumor regions from 101 patients recruited into the multi-center prospective study, TRACERx Renal. We observe up to 30 driver events per tumor and show that subclonal diversification is associated with known prognostic parameters. By resolving the patterns of driver event ordering, co-occurrence, and mutual exclusivity at clone level, we show the deterministic nature of clonal evolution. ccRCC can be grouped into seven evolutionary subtypes, ranging from tumors characterized by early fixation of multiple mutational and copy number drivers and rapid metastases to highly branched tumors with > 10 subclonal drivers and extensive parallel evolution associated with attenuated progression. We identify genetic diversity and chromosomal complexity as determinants of patient outcome. Our insights reconcile the variable clinical behavior of ccRCC and suggest evolutionary potential as a biomarker for both intervention and surveillance. We thank Aida Murra, Naheed Shaikh, Justine Korteweg, Jeremy Tai, Eleanor Carlyle, Leonora Conneely, KimEdmonds, Karla Lingard, Karen O'Meara, Helen Breeze, Sarah Sarker, Lesley Cooper, Linda Shephard, Susie Slater, and Catherine Rogers for study support. We thank the patients and their families. S.T. and H.X. are funded by Cancer Research UK (CRUK) (C50947/A18176). S.T., T.C., J.L., and M.G. are funded by the National Institute for Health Research (NIHR) Biomedical Research Centre (BRC) at the Royal Marsden Hospital and Institute of Cancer Research (A109). J.I.L. is funded by the Ministerio de Economia y Competitividad (MINECO, SAF2016-79847-R). M.S., A.S., J. Lynch, R.F., L.A., and L.S. are funded by the Royal Marsden Cancer Charity. K.L. is funded by UK Medical Research Council (MR/P014712/1). T.B.K.W. is funded by the European Union Seventh Framework Programme (FP7-People-2013-ITN). M.J.-H. is funded by the NIHR. N.M.L. is a Winton Group Leader in recognition of the Winton Charitable Foundation's support towards the establishment of The Francis Crick Institute. N.M.L. is additionally funded by a Wellcome Trust Joint Investigator Award (103760/Z/14/Z) and the MRC eMedLab Medical Bioinformatics Infrastructure Award (MR/L016311/1). M.K. is funded by the Danish Cancer Society grant (R90-A6213). P.C. is funded by the Wellcome Trust (WT088340MA). N.M. receives funding from CRUK, Rosetrees, and the NIHR BRC at University College London Hospitals. C.S. is a Royal Society Napier Research Professor. C.S. is funded by Cancer Research UK (TRACERx and CRUK Cancer Immunotherapy Catalyst Network), the CRUK Lung Cancer Centre of Excellence, Stand Up 2 Cancer (SU2C), the Rosetrees and Stoneygate Trusts, NovoNordisk Foundation (THESEUS), Marie Curie Network PloidyNet, the NIHR BRC at University College London Hospitals, and the CRUK University College London Experimental Cancer Medicine Centre. C.S., O.P., D.R., I.C., and Z.S. are funded by NovoNordisk Foundation (16584). O.P., D.R., and I.C. are funded by the National Research, Development and Innovation Office of Hungary (NVKP_16-1-20160004). This work was supported by CRUK (Clinical Scientist Fellowship to S.T., C50947/A18176), The Francis Crick Institute, which receives its core funding from Cancer Reseach UK (FC010110), the UK Medical Research Council (FC010110), the Wellcome Trust (FC010110), and NIHR BRC at the Royal Marsden Hospital and Institute of Cancer Research (A109). High-performance computing was supported by eMedLab. The results published here are in whole or part based upon data generated by the TCGA Research Network: http://cancergenome.nih.gov/.

Clear-cell renal cell carcinoma (ccRCC) exhibits a broad range of metastatic phenotypes that have not been systematically studied to date. Here, we analyzed 575 primary and 335 metastatic biopsies across 100 patients with metastatic ccRCC, including two cases sampledat post-mortem. Metastatic competence was afforded by chromosome complexity, and we identify 9p loss as a highly selected event driving metastasis and ccRCC-related mortality (p = 0.0014). Distinct patterns of metastatic dissemination were observed, including rapid progression to multiple tissue sites seeded by primary tumors of monoclonal structure. By contrast, we observed attenuated progression in cases characterized by high primary tumor heterogeneity, with metastatic competence acquired gradually and initial progression to solitary metastasis. Finally, we observed early divergence of primitive ancestral clones and protracted latency of up to two decades as a feature of pancreatic metastases. S.T. and H.X. are funded by Cancer Research UK (CRUK) (C50947/A18176). S.T., T.C., J.L., and M.G. are funded by the NIH Research (NIHR) Biomedical Research Centre (BRC) at the Royal Marsden Hospital and Institute of Cancer Research (A109). J.I.L. is funded by the Ministerio de Economia y Competitividad (MINECO, SAF2016-79847-R). M.S., A.S., J.L., R.F., L.A., and L.S. are funded by the Royal Marsden Cancer Charity. K.L. is funded by UK Medical Research Council (MR/P014712/1). N.M. receives funding from CRUK, Rosetrees, and the NIHR BRC at University College London Hospitals. C.S is Royal Society Napier Research Professor. C.S. is funded by Cancer Research UK (TRACERx and CRUK Cancer Immunotherapy Catalyst Network), the CRUK Lung Cancer Centre of Excellence, Stand Up 2 Cancer (SU2C), the Rosetrees and Stoneygate Trusts, NovoNordisk Foundation (ID 16584), the Breast Cancer Research Foundation (BCRF), the European Research Council (THESEUS), Marie Curie Network PloidyNet, the NIHR BRC at University College London Hospitals, and the CRUK University College London Experimental Cancer Medicine Centre. The work presented in this manuscript was funded by Cancer Research UK (grant reference number C50947/A18176), Ventana Medical Systems (grant reference numbers 10467 and 10530), the Kidney Cancer Fund of The Royal Marsden Cancer Charity, NIHR BRC at the Royal Marsden Hospital and Institute of Cancer Research (grant reference number A109), and the Francis Crick Institute, which receives its core funding from Cancer Research UK (FC001202), the UK Medical Research Council (FC001202), and the Wellcome Trust (FC001202). In particular, we acknowledge the support of the Advanced Sequencing Facility and the High-Performance Computing at the Francis Crick Institute. This project was enabled through access to the MRC eMedLab Medical Bioinformatics infrastructure, supported by the Medical Research Council (grant number MR/L016311/1).