Stimulation of an anti-tumor immune response with "chromatin-damaging" therapy.

Curaxins are small molecules that bind genomic DNA and interfere with DNA-histone interactions leading to the loss of histones and decondensation of chromatin. We named this phenomenon 'chromatin damage'. Curaxins demonstrated anti-cancer activity in multiple pre-clinical tumor models. Here, we present data which reveals, for the first time, a role for the immune system in the anti-cancer effects of curaxins. Using the lead curaxin, CBL0137, we observed elevated expression of several group of genes in CBL0137-treated tumor cells including interferon sensitive genes, MHC molecules, some embryo-specific antigens suggesting that CBL0137 increases tumor cell immunogenicity and improves recognition of tumor cells by the immune system. In support of this, we found that the anti-tumor activity of CBL0137 was reduced in immune deficient SCID mice when compared to immune competent mice. Anti-tumor activity of CBL0137 was abrogated in CD8+ T cell depleted mice but only partially lost when natural killer or CD4+ T cells were depleted. Further support for a key role for the immune system in the anti-tumor activity of CBL0137 is evidenced by an increased antigen-specific effector CD8+ T cell and NK cell response, and an increased ratio of effector T cells to Tregs in the tumor and spleen. CBL0137 also elevated the number of CXCR3-expressing CTLs in the tumor and the level of interferon-γ-inducible protein 10 (IP-10) in serum, suggesting IP-10/CXCR3 controls CBL0137-elicited recruitment of effector CTLs to tumors. Our collective data underscores a previously unrecognized role for both innate and adaptive immunity in the anti-tumor activity of curaxins.

Clinical and pathological associations of PTEN expression in ovarian cancer: a multicentre study from the Ovarian Tumour Tissue Analysis Consortium.

BACKGROUND: PTEN loss is a putative driver in histotypes of ovarian cancer (high-grade serous (HGSOC), endometrioid (ENOC), clear cell (CCOC), mucinous (MOC), low-grade serous (LGSOC)). We aimed to characterise PTEN expression as a biomarker in epithelial ovarian cancer in a large population-based study. METHODS: Tumours from 5400 patients from a multicentre observational, prospective cohort study of the Ovarian Tumour Tissue Analysis Consortium were used to evaluate associations between immunohistochemical PTEN patterns and overall survival time, age, stage, grade, residual tumour, CD8+ tumour-infiltrating lymphocytes (TIL) counts, expression of oestrogen receptor (ER), progesterone receptor (PR) and androgen receptor (AR) by means of Cox proportional hazard models and generalised Cochran-Mantel-Haenszel tests. RESULTS: Downregulation of cytoplasmic PTEN expression was most frequent in ENOC (most frequently in younger patients; p value = 0.0001) and CCOC and was associated with longer overall survival in HGSOC (hazard ratio: 0.78, 95% CI: 0.65-0.94, p value = 0.022). PTEN expression was associated with ER, PR and AR expression (p values: 0.0008, 0.062 and 0.0002, respectively) in HGSOC and with lower CD8 counts in CCOC (p value < 0.0001). Heterogeneous expression of PTEN was more prevalent in advanced HGSOC (p value = 0.019) and associated with higher CD8 counts (p value = 0.0016). CONCLUSIONS: PTEN loss is a frequent driver in ovarian carcinoma associating distinctly with expression of hormonal receptors and CD8+ TIL counts in HGSOC and CCOC histotypes.

An Immunosuppressive Effect of Melanoma-derived Exosomes on NY-ESO-1 Antigen-specific Human CD8+ T Cells is Dependent on IL-10 and Independent of BRAFV600E Mutation in Melanoma Cell Lines.

Exosomes, including human melanoma-derived exosomes (HMEX), are known to suppress the function of immune effector cells, which for HMEX has been associated with the surface presence of the immune checkpoint ligand PD-L1. This study investigated the relationship between the BRAF mutational status of melanoma cells and the inhibition of secreted HMEX exosomes on antigen-specific human T cells. Exosomes were isolated from two melanoma cell lines, 2183-Her4 and 888-mel, which are genetically wild-type BRAFWT and BRAFV600E, respectively. HMEX were isolated using a modified, size-exclusion chromatography (SEC) method shown to reduce co-isolation of non-exosome-associated cytokines compared to ultracentrifugation isolation. The immunoinhibitory effect of the exosomes was tested in vitro on patient-derived NY-ESO-1-specific CD8+ T cells challenged with NY-ESO-1 antigen. HMEX from both cell lines inhibited the immune response of antigen-specific T cells comparably, as evidenced by the reduction of IFN-γ and TNF-α in NY-ESO-1 tetramer-positive cells. This inhibition could be partially reversed by the presence of anti-PD-L1 and anti-IL-10 antibodies. IL-10 has been demonstrated to be a critical pathway for sustaining enhanced tumorigenesis in BRAFV600E mutant cells compared to BRAFWT melanoma cells. Thus, we demonstrate that HMEX inhibit antigen-specific T cell responses independent of the BRAF mutational status of the parent cells. In addition, PD-L1 and IL-10 contribute to the HMEX-mediated immunosuppression of antigen-specific human T cells. The inhibitory capacity of exosomes should be taken into consideration when developing therapies that are reliant upon the potency of customized, antigen-specific effector T cells.

SCNVSim: somatic copy number variation and structure variation simulator.

BACKGROUND: Somatically acquired structure variations (SVs) and copy number variations (CNVs) can induce genetic changes that are directly related to tumor genesis. Somatic SV/CNV detection using next-generation sequencing (NGS) data still faces major challenges introduced by tumor sample characteristics, such as ploidy, heterogeneity, and purity. A simulated cancer genome with known SVs and CNVs can serve as a benchmark for evaluating the performance of existing somatic SV/CNV detection tools and developing new methods. RESULTS: SCNVSim is a tool for simulating somatic CNVs and structure variations SVs. Other than multiple types of SV and CNV events, the tool is capable of simulating important features related to tumor samples including aneuploidy, heterogeneity and purity. CONCLUSIONS: SCNVSim generates the genomes of a cancer cell population with detailed information of copy number status, loss of heterozygosity (LOH), and event break points, which is essential for developing and evaluating somatic CNV and SV detection methods in cancer genomics studies.

Fidelity of human ovarian cancer patient-derived xenografts in a partially humanized mouse model for preclinical testing of immunotherapies.

BACKGROUND: Immune checkpoint blockers (ICBs) have been approved by the Food and Drug Administration to be used alone in front-line therapies or in combination with other regimens for certain advanced cancers. Since ICB only works in a subset of patients and has limited efficacy in treating ovarian cancer (OVC), developing preclinical models that help to understand which patients may derive benefit from ICB would be of tremendous benefit in OVC. METHODS: Here, we generated preclinical human OVC models from freshly resected tumors, which include six patient-derived xenografts (PDXs) from six different patient tumors, three transplantable OVC PD spheroid lines (PD-sphs), and 3 cell lines (PD-CLs). We tested the therapeutic combination of anti-PD1/CTLA4 antibodies with (1) autologous tumor-associated leukocytes (TALs) on the growth of PD-sphs in a coculture system in vitro, (2) with adoptively transferred autologous peripheral blood mononuclear cells or TALs in patient-derived OVC models using partially humanized mice, NSG-HHDxSGM3 (N-HSGM3). RESULTS: We show that PD-1 and CTLA-4 dual blockade when combined with autologous TALs effectively reduced PD-sph number in a co-culture system and led to regression of established PD-CLs and PDXs in the N-HSGM3 mice. Combinatorial PD-1 and CTLA-4 blockade increased the frequency and function of tumor-specific CD8 T cells. These CD8 T cells persisted in the tumor microenvironment, exhibited memory phenotype and protected animals from tumor growth on tumor rechallenge. Gene expression analysis of tumors resistant to dual PD1/CTLA4 blockade treatment identified upregulation of antigen processing and presentation pathways and downregulation of extracellular matrix organization genes. CONCLUSIONS: These findings describe a novel platform for developing patient-derived preclinical tumor models suitable for rationally testing combinatorial ICB in the context of autologous tumor-reactive T cells. This platform can be further developed for testing additional targeted therapies relevant to OVC.

Cancer Moonshot Immuno-Oncology Translational Network (IOTN): accelerating the clinical translation of basic discoveries for improving immunotherapy and immunoprevention of cancer.

Despite regulatory approval of several immune-based treatments for cancer in the past decade, a number of barriers remain to be addressed in order to fully harness the therapeutic potential of the immune system and provide benefits for patients with cancer. As part of the Cancer Moonshot initiative, the Immuno-Oncology Translational Network (IOTN) was established to accelerate the translation of basic discoveries to improve immunotherapy outcomes across the spectrum of adult cancers and to develop immune-based approaches that prevent cancers before they occur. The IOTN currently consists of 32 academic institutions in the USA. By leveraging cutting-edge preclinical research in immunotherapy and immunoprevention, open data and resource sharing, and fostering highly collaborative team science across the immuno-oncology ecosystem, the IOTN is designed to accelerate the generation of novel mechanism-driven immune-based cancer prevention and therapies, and the development of safe and effective personalized immuno-oncology approaches.

Defining best practices for tissue procurement in immuno-oncology clinical trials: consensus statement from the Society for Immunotherapy of Cancer Surgery Committee.

Immunotherapy is now a cornerstone for cancer treatment, and much attention has been placed on the identification of prognostic and predictive biomarkers. The success of biomarker development is dependent on accurate and timely collection of biospecimens and high-quality processing, storage and shipping. Tumors are also increasingly used as source material for the generation of therapeutic T cells. There have been few guidelines or consensus statements on how to optimally collect and manage biospecimens and source material being used for immunotherapy and related research. The Society for Immunotherapy of Cancer Surgery Committee has brought together surgical experts from multiple subspecialty disciplines to identify best practices and to provide consensus on how best to access and manage specific tissues for immuno-oncology treatments and clinical investigation. In addition, the committee recommends early integration of surgeons and other interventional physicians with expertise in biospecimen collection, especially in clinical trials, to optimize the quality of tissue and the validity of correlative clinical studies in cancer immunotherapy.

Developing a SNP panel for forensic identification of individuals.

Single nucleotide polymorphisms (SNPs) are likely in the near future to have a fundamental role in forensics in both human identification and description. However, considerable research is necessary to establish adequate scientific foundations for these applications. In the case of identification, because allele frequencies can vary greatly among populations, the population genetics of match probabilities is a critical issue. Some SNPs, however, show little allele frequency variation among populations while remaining highly informative. We describe here both an efficient strategy for identifying and characterizing such SNPs, and test that strategy on a broad representation of world populations. Markers with high heterozygosity and little frequency variation among African American, European American, and East Asian populations are selected for additional screening on seven populations that provide a sampling of genetic variation from the world's major geographical regions. Those with little allele frequency variation on the seven populations are then screened on a total of 40 populations ( approximately 2100 individuals) and the most promising retained. The preliminary panel of 19 SNPs, from an initial selection of 195 SNPs, gives an average match probability of <10(-7) in most of 40 populations studied and no greater than 10(-6) in the most isolated, inbred populations. Expansion of this panel to approximately 50 comparable SNPs should give match probabilities of about 10(-15) with a small global range.

Phyllodes tumor of the breast metastasizing to the vulva.

Phyllodes tumors of the breast are rare breast tumors that resemble fibroadenoma. They are composed of two types of tissues: stromal and glandular tissues. Unlike fibroadenoma, they are commonly found in the third decade of life and they tend to grow more rapidly. Depending on the relative components of the cells and mitotic activity, they are classified into benign, borderline, and malignant. They are usually present as a lump in the breast. Phyllodes tumors are usually managed by wide excision. The excision should be wide enough to ensure a tumor-free margin. Recurrence rate is very high and most recurrences are usually local. Metastasis to the vulva has not been reported.

Structural variation discovery in the cancer genome using next generation sequencing: computational solutions and perspectives.

Somatic Structural Variations (SVs) are a complex collection of chromosomal mutations that could directly contribute to carcinogenesis. Next Generation Sequencing (NGS) technology has emerged as the primary means of interrogating the SVs of the cancer genome in recent investigations. Sophisticated computational methods are required to accurately identify the SV events and delineate their breakpoints from the massive amounts of reads generated by a NGS experiment. In this review, we provide an overview of current analytic tools used for SV detection in NGS-based cancer studies. We summarize the features of common SV groups and the primary types of NGS signatures that can be used in SV detection methods. We discuss the principles and key similarities and differences of existing computational programs and comment on unresolved issues related to this research field. The aim of this article is to provide a practical guide of relevant concepts, computational methods, software tools and important factors for analyzing and interpreting NGS data for the detection of SVs in the cancer genome.

Global survey of haplotype frequencies and linkage disequilibrium at the RET locus.

We have constructed haplotypes based on normal variation at six polymorphic sites-five single nucleotide polymorphisms (SNPs) and one short tandem repeat polymorphism (STRP)-at the RET locus for samples of normal individuals from 32 populations distributed across the major continental regions of the world. The haplotyped system spans 41.6 kilobases and encompasses most of the coding region of the gene. All of the markers are polymorphic in all regions of the world and in most individual populations. Expected heterozygosities for the six-site haplotypes range from 82 to 94% for all populations studied except for two Amerindian groups from the Amazon basin at 61 and 76%. Individual populations had from four to eight haplotypes with frequencies exceeding 5%. In general, African, southwest Asian and European groups have the highest numbers of total and of commonly occurring haplotypes; the lowest numbers are observed in Amerindian populations. Overall linkage disequilibrium (LD) for the five SNP sites was very significant (P

Considerable haplotype diversity within the 23kb encompassing the ADH7 gene.

BACKGROUND: Of the seven known human alcohol dehydrogenase (ADH) genes, the non-liver expressed ADH7 gene codes for the enzyme with the highest maximal activity for ethanol. Previous study from our laboratory has suggested that ADH7 has an epistatic role for protection against alcoholism based on a single ADH7 SNP. METHODS: We have now studied seven SNPs, additional populations for the SNP previously examined, and six more new SNPs, across 23 kb of ADH7 in 38 population samples originating from different geographical regions of the world. RESULTS: The overall linkage disequilibrium is moderate to strong across this region even though considerable 7-SNP haplotype diversity is observed. This uncommonly high haplotype diversity is explained by high LD within each "half," the three upstream SNPs and the four downstream SNPs, but near randomization between the "halves." This division significantly simplified the haplotype pattern: only four major haplotypes account for almost all chromosomes in all populations in each "half." CONCLUSIONS: The low linkage disequilibrium between these two "halves" suggests multiple recombination(s) have occurred in this region, specifically, within intron 7. The absence of strong LD between the functional variation in ADH1B that is strongly associated with alcoholism and any of the variation in ADH7 supports the genetic independence of ADH7 in association studies. Thus, the previously observed epistatic effect of ADH7 cannot be explained by its linkage disequilibrium with a causative factor in ADH1B.

A global perspective on genetic variation at the ADH genes reveals unusual patterns of linkage disequilibrium and diversity.

Variants of different Class I alcohol dehydrogenase (ADH) genes have been shown to be associated with an effect that is protective against alcoholism. Previous work from our laboratory has shown that the two sites showing the association are in linkage disequilibrium and has identified the ADH1B Arg47His site as causative, with the ADH1C Ile349Val site showing association only because of the disequilibrium. Here, we describe an initial study of the nature of linkage disequilibrium and genetic variation, in population samples from different regions of the world, in a larger segment of the ADH cluster (including the three Class I ADH genes and ADH7). Linkage disequilibrium across approximately 40 kb of the Class I ADH cluster is moderate to strong in all population samples that we studied. We observed nominally significant pairwise linkage disequilibrium, in some populations, between the ADH7 site and some Class I ADH sites, at moderate values and at a molecular distance as great as 100 kb. Our data indicate (1) that most ADH-alcoholism association studies have failed to consider many sites in the ADH cluster that may harbor etiologically significant alleles and (2) that the relevance of the various ADH sites will be population dependent. Some individual sites in the Class I ADH cluster show Fst values that are among the highest seen among several dozen unlinked sites that were studied in the same subset of populations. The high Fst values can be attributed to the discrepant frequencies of specific alleles in eastern Asia relative to those in other regions of the world. These alleles are part of a single haplotype that exists at high (>65%) frequency only in the eastern-Asian samples. It seems unlikely that this haplotype, which is rare or unobserved in other populations, reached such high frequency because of random genetic drift alone.

Population variation in linkage disequilibrium across the COMT gene considering promoter region and coding region variation.

Catechol-O-methyl transferase (COMT) catalyzes the first step in one of the major pathways in the degradation of catecholamines. The COMT gene on chromosome 22 has been considered a candidate gene for many neuropsychiatric disorders, in part because an exon 4 single nucleotide polymorphism (SNP) in COMT causes an amino acid substitution associated with significantly altered enzyme activity. This functional variant, detected as an NlaIII restriction site polymorphism (RSP), is polymorphic in populations from around the world. A four-site haplotype spanning 28 kb effectively encompasses COMT. This haplotype is comprised of two novel polymorphisms [a tetranucleotide short tandem repeat polymorphism (STRP) in intron 1 and a HindIII RSP at the 5' end of COMT], the NlaIII site, and another previously published site - a BglI RSP at the 3' end of the gene. Overall linkage disequilibrium (LD) for this haplotype is strong and significant in 32 population samples from around the world. Conditional probabilities indicate that, in spite of moderate to strong disequilibrium in most non-African populations, the NlaIII site, although often used for prediction, would not always be a reliable predictor of allelic variation at the other sites. Because other functional variation might exist, especially regulatory variation, these findings indicate that haplotypes would be more effective indicators of possible involvement of COMT in disease etiology.