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Pathway analysis in MM and comparison between MM and CM.

Supplementary figures and figure legends. (Figure S1) Deregulation of genes within key affected signaling pathways in MM. (Figure S2) Validation of the somatic SNV/InDels found in POM121. (Figure S3) Copy number changes in MM. (Figure S4) Distribution of SVs and genetic events including breakage-fusion-bridges [BFBs] and chromothripsis across chromosomes among all samples. (Figure S5) Validation of SV occurring between chromosome 5 and 12 in MM023 and MM065. (Figure S6) Fine structure of BFBs and chromothripsis found in MM. (Figure S7) Comparison of lesions found in mucosal melanoma. (Figure S8) Validation of the copy number alteration of CDK4 and TERT in representative samples. (Figure S9) FISH confirming amplification and co-localization of CDK4 [12q14] and TERT [5p15]. (Figure S10) Molecular characterization of the MM PDX models and the effects of palbociclib on Rb phosphorylation in treatment-responsive PDX models. (Figure S11) Significant mutated non-coding region genes in MMs. (Figure S12) Mutation signatures found in MM.

Purpose:Unlike advances in the genomics-driven precision treatment of cutaneous melanomas, the current poor understanding of the molecular basis of mucosal melanomas (MM) has hindered such progress for MM patients. Thus, we sought to characterize the genomic landscape of MM to identify genomic alterations with prognostic and/or therapeutic implications.Experimental Design:Whole-genome sequencing (WGS) was performed on 65 MM samples, including 63 paired tumor blood samples and 2 matched lymph node metastases, with a further droplet digital PCR–based validation study of an independent MM cohort (n = 80). Guided by these molecular insights, the FDA-approved CDK4/6 inhibitor palbociclib was tested in an MM patient-derived xenograft (PDX) trial.Results:Besides the identification of well-recognized driver mutations of BRAF (3.1%), RAS family (6.2%), NF1 (7.8%), and KIT (23.1%) in MMs, our study also found that (i) mutations and amplifications in the transmembrane nucleoporin gene POM121 (30.8%) defined a patient subgroup with higher tumor proliferation rates; (ii) enrichment of structural variations between chromosomes 5 and 12 defined a patient subgroup with significantly worse clinical outcomes; (iii) over 50% of the MM patients harbored recurrent focal amplification of several oncogenes (CDK4, MDM2, and AGAP2) at 12q13-15, and this co-occurred significantly with amplification of TERT at 5p15, which was verified in the validation cohort; (iv) the PDX trial demonstrated robust antitumor effects of palbociclib in MMs harboring CDK4 amplification.Conclusions:Our largest-to-date cohort WGS analysis of MMs defines the genomic landscape of this deadly cancer at unprecedented resolution and identifies genomic aberrations that could facilitate the delivery of precision cancer treatments.See related commentary by Shoushtari, p. 3473

Head and neck squamous cell carcinoma (HNSCC) is a common and frequently lethal cancer with few therapeutic options. In particular, there are few effective targeted therapies. Development of highly effective therapeutic strategies tailored to patients with HNSCC remains a pressing challenge. To address this, we present a pharmacogenomic study to facilitate precision treatments for patients with HNSCC. We established a large collection of 56 HNSCC patient-derived cells (PDCs), which recapitulated the molecular features of the original tumors. Pharmacological assessment of HNSCCs was conducted using a three-tiered high-throughput drug screening using 2248 compounds across these PDC models and an additional 18 immortalized cell lines. We integrated genomic, transcriptomic, and pharmacological analysis to predict biomarkers, gene-drug associations, and validated biomarkers. These results supported drug repurposing for multiple HNSCC subtypes, including the JAK2 inhibitor fedratinib, for low KRT18 –expressing HNSCC cases, and the topoisomerase inhibitor mitoxantrone, for IL6R -activated HNSCC cases. Our results demonstrated concordance between susceptibility predictions from the PDCs and the matched patients’ responses to standard clinical medication. Moreover, we identified and experimentally confirmed that high expression of ITGB1 elicited therapeutic resistance to docetaxel and high SOD1 expression conferred resistance to afatinib. We further validated ITGB1 as a predictive biomarker for the efficacy of docetaxel therapy in a phase 2 clinical trial. In summary, our study shows that this HNSCC cell resource, as well as the resulting pharmacogenomic profiles, is effective for biomarker discovery and for guiding precision oncology therapies in HNSCCs.

Aim To identify new biomarkers of prostate cancer (PCa) for the diagnosis and prediction of clinical outcomes. Materials and methods Existing microarray data of PCa tissues in the Oncomine database were analyzed and candidate differentially expressed genes (DEGs) that may be novel and noninvasive biomarkers were obtained. On this basis, plasma mRNA was extracted from PCa patients and healthy donors. Furthermore, plasma mRNA expression of DEGs was evaluated by qRT-PCR. Finally, the diagnostic power of the biomarkers was evaluated in comparison to the clinical characteristics of the patients. Results In this study, the top five significantly overexpressed mRNA (AMACR, PPP1R14b, PCA3, DLX1, and RPL22L1) and the top five significantly underexpressed mRNA (DUOX1, EFS, GSTP1, S100A16, and NCRNA00087) were selected for further validation in PCa patients and healthy donors by qRT-PCR. The results showed that AMACR, DLX1, PCA3, DUOX1, and GSTP1 mRNA were stably amplified in plasma. Additionally, DLX1, PCA3, DUOX1, and GSTP1 mRNA expression was significantly different between PCa circulating free mRNA samples and healthy donors. These mRNAs may be useful biomarkers for PCa diagnosis. Conclusion Analysis of the expression of genes in the Oncomine database showed that DLX1, PCA3, and DUOX1 expressions have a cancer specific pattern in PCa. Collectively, DLX1, PCA3, and DUOX1 may be useful candidate biomarkers for PCa diagnosis.

Purpose: Unlike advances in the genomics-driven precision treatment of cutaneous melanomas, the current poor understanding of the molecular basis of mucosal melanomas (MM) has hindered such progress for MM patients. Thus, we sought to characterize the genomic landscape of MM to identify genomic alterations with prognostic and/or therapeutic implications. Experimental Design: Whole-genome sequencing (WGS) was performed on 65 MM samples, including 63 paired tumor blood samples and 2 matched lymph node metastases, with a further droplet digital PCR–based validation study of an independent MM cohort (n = 80). Guided by these molecular insights, the FDA-approved CDK4/6 inhibitor palbociclib was tested in an MM patient-derived xenograft (PDX) trial. Results: Besides the identification of well-recognized driver mutations of BRAF (3.1%), RAS family (6.2%), NF1 (7.8%), and KIT (23.1%) in MMs, our study also found that (i) mutations and amplifications in the transmembrane nucleoporin gene POM121 (30.8%) defined a patient subgroup with higher tumor proliferation rates; (ii) enrichment of structural variations between chromosomes 5 and 12 defined a patient subgroup with significantly worse clinical outcomes; (iii) over 50% of the MM patients harbored recurrent focal amplification of several oncogenes (CDK4, MDM2, and AGAP2) at 12q13-15, and this co-occurred significantly with amplification of TERT at 5p15, which was verified in the validation cohort; (iv) the PDX trial demonstrated robust antitumor effects of palbociclib in MMs harboring CDK4 amplification. Conclusions: Our largest-to-date cohort WGS analysis of MMs defines the genomic landscape of this deadly cancer at unprecedented resolution and identifies genomic aberrations that could facilitate the delivery of precision cancer treatments. See related commentary by Shoushtari, p. 3473

Stimuli-responsive nanomedicines have become a recent research focus as a candidate for cancer treatment because of their effectiveness, sensibility, and minimal invasiveness. In this work, a novel nanosystem is developed based on Cu2- x S@MnS core-shell nanoparticles (CSNPs) in which the Cu2- x S core serves as a photosensitizer to generate hyperthermia and reactive oxygen species (ROS), and the MnS shell is used in H2O2-responsive O2 production. Cu2 -x S@MnS CSNPs with an independent core and shell ratio are synthesized by a controllable hot-injection method, resulting in an optimal photothermal (PT) effect with a PT conversion efficiency of up to 47.9%. An enhanced photodynamic (PD) effect also occurs in an H2O2 environment. More significantly, in vivo experiments demonstrate that Cu2 -x S@MnS CSNPs can mediate tumor shrinkage in both HeLa tumor cell line-derived xenograft (CDX) and head and neck squamous cell carcinoma (HNSCC) patient-derived xenograft (PDX) models, with the capability of being used as a T1-enhanced magnetic resonance (MR) contrast agent. These results suggest the great potential of as-prepared Cu2 -x S@MnS CSNPs as photo/H2O2-responsive therapeutic-agents against tumors, even in a complicated and heterogeneous environment, thus promoting the clinical translation of nanomedicine.

Introduction: PD-1 and PD-L1antibodies have shown impressive clinical benefits to cancer patients. However, still a significant number of patients fail to respond to those checkpoint inhibitors. To understand the underlying mechanism, we performed genomic and immune profiling of both tumor tissues and cytotoxic T cells isolated from syngeneic mouse xenograft models treated with in-house WuXi anti-mouse PD-1(WX-mPD-1) and anti-mouse PD-L1 (WX-mPD-L1) antibodies. Material and methods: Syngeneic mouse xenograft models from melanoma cell lines, CloudmanS91 and B16-F10, were used to evaluate the anticancer efficacy of WX-mPD-1 and WX-mPD-L1 antibodies. Cancer cells and xenograft tumors before and after treatment were collected for RNASeq profiling, from which mRNA expression and DNA mutations were called and neo-antigens were predicted. FACS analysis and TCR sequencing were also performed to examine the tumor infiltrating lymphocytes (TILs) population and TCR repertoire diversity, respectively. Results: Among forty-eight established syngeneic models, nine had been tested with WX-mPD-1 and WX-mPD-L1 antibodies as single agent or in combination. More importantly, we have investigated the expression, mutation loads, neo-antigens for responsive model from CloudmanS91 and partially responsive model from B16-F10. CloudmanS91 model had 8 fold increases in mutation loads compared with B16-F10 model. Neo-antigens identified in CloudmanS91 cells were further knocked out to dissect their roles in activating immune response to WX-mPD-1 and WX-mPD-L1 antibodies in vivo. Conclusions: WX-mPD-1 and WX-mPD-L1 antibodies as well as syngeneic tumor models are useful tools for pre-clinical combination and MoA studies for cancer immunotherapy. Analysis of Neo-antigen and TCR repertoire helps us better understand immune response to these antibodies in preclinical settings, and suggest novel approaches to enhance the current immunotherapeutic interventions. Citation Format: Hua Dong, Yan Lu, Qiyao Zhang, Lingling Zhang, Xiaoyue Chen, Guizhu Yang, Shuqun Yang, Miao He, Xuzhen Tang, Yuxin Qin, Yong Zheng, Jiexing Cai, Yong Cang, Shaoyu Yan, Jing Li, Qunsheng Ji. Immune profiling uncovers neo-antigens and TCR repertoire responding to WX-mPD-1 and WX-mPD-L1 immune checkpoint inhibitors in syngeneic mouse xenograft models. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 549.