The evolution of metastatic upper tract urothelial carcinoma through genomic-transcriptomic and single-cell protein markers analysis

The molecular characteristics of metastatic upper tract urothelial carcinoma (UTUC) are not well understood, and there is a lack of knowledge regarding the genomic and transcriptomic differences between primary and metastatic UTUC. To address these gaps, we integrate whole-exome sequencing, RNA sequencing, and Imaging Mass Cytometry using lanthanide metal-conjugated antibodies of 44 tumor samples from 28 patients with high-grade primary and metastatic UTUC. We perform a spatially-resolved single-cell analysis of cancer, immune, and stromal cells to understand the evolution of primary to metastatic UTUC. We discover that actionable genomic alterations are frequently discordant between primary and metastatic UTUC tumors in the same patient. In contrast, molecular subtype membership and immune depletion signature are stable across primary and matched metastatic UTUC. Molecular and immune subtypes are consistent between bulk RNA-sequencing and mass cytometry of protein markers from 340,798 single cells. Molecular subtypes at the single-cell level are highly conserved between primary and metastatic UTUC tumors within the same patient.

Breast adipose tissue-derived extracellular vesicles from obese women alter tumor cell metabolism

Breast adipose tissue is an important contributor to the obesity-breast cancer link. Extracellular vesicles (EVs) are nanosized particles containing selective cargo, such as miRNAs, that act locally or circulate to distant sites to modulate target cell functions. Here, we find that long-term education of breast cancer cells with EVs obtained from breast adipose tissue of women who are overweight or obese (O-EVs) results in increased proliferation. RNA-seq analysis of O-EV-educated cells demonstrates increased expression of genes involved in oxidative phosphorylation, such as ATP synthase and NADH: ubiquinone oxidoreductase. O-EVs increase respiratory complex protein expression, mitochondrial density, and mitochondrial respiration in tumor cells. The mitochondrial complex I inhibitor metformin reverses O-EV-induced cell proliferation. Several miRNAs-miR-155-5p, miR-10a-3p, and miR-30a-3p-which promote mitochondrial respiration and proliferation, are enriched in O-EVs relative to EVs from lean women. O-EV-induced proliferation and mitochondrial activity are associated with stimulation of the Akt/mTOR/P70S6K pathway, and are reversed upon silencing of P70S6K. This study reveals a new facet of the obesity-breast cancer link with human breast adipose tissue-derived EVs causing metabolic reprogramming of breast cancer cells.

Immunogenomic Landscape of Neuroendocrine Prostate Cancer

PURPOSE

Patients with neuroendocrine prostate cancer (NEPC) are often managed with immunotherapy regimens extrapolated from small-cell lung cancer (SCLC). We sought to evaluate the tumor immune landscape of NEPC compared with other prostate cancer types and SCLC.

EXPERIMENTAL DESIGN

In this retrospective study, a cohort of 170 patients with 230 RNA-sequencing and 104 matched whole-exome sequencing data were analyzed. Differences in immune and stromal constituents, frequency of genomic alterations, and associations with outcomes were evaluated.

RESULTS

In our cohort, 36% of the prostate tumors were identified as CD8+ T-cell inflamed, whereas the remaining 64% were T-cell depleted. T-cell-inflamed tumors were enriched in anti-inflammatory M2 macrophages and exhausted T cells and associated with shorter overall survival relative to T-cell-depleted tumors (HR, 2.62; P < 0.05). Among all prostate cancer types in the cohort, NEPC was identified to be the most immune depleted, wherein only 9 out of the 36 total NEPC tumors were classified as T-cell inflamed. These inflamed NEPC cases were enriched in IFN gamma signaling and PD-1 signaling compared with other NEPC tumors. Comparison of NEPC with SCLC revealed that NEPC had poor immune content and less mutations compared with SCLC, but expression of checkpoint genes PD-L1 and CTLA-4 was comparable between NEPC and SCLC.

CONCLUSIONS

NEPC is characterized by a relatively immune-depleted tumor immune microenvironment compared with other primary and metastatic prostate adenocarcinoma except in a minority of cases. These findings may inform development of immunotherapy strategies for patients with advanced prostate cancer.

Soluble adenylyl cyclase contributes to imiquimod-mediated inflammation and is a potential therapeutic target in psoriasis

Cyclic AMP (cAMP) has a key role in psoriasis pathogenesis, as indicated by the therapeutic efficacy of phosphodiesterase inhibitors that prevent the degradation of cAMP. However, whether soluble adenylate cyclase (sAC) (encoded by the ADCY10 gene), which is an important source for cAMP, is involved in Th17 cell-mediated inflammation or could be an alternative therapeutic target in psoriasis is unknown. We have utilized the imiquimod model of murine psoriasiform dermatitis to address this question. Adcy10-/- mice had reduced erythema, scaling and swelling in the skin and reduced CD4+ IL17+ cell numbers in the draining lymph nodes, compared with wild-type mice after induction of psoriasiform dermatitis with imiquimod. Keratinocyte-specific knock out of Adcy10 had no effect on imiquimod-induced ear swelling suggesting keratinocyte sAC has no role in imiquimod-induced inflammation. During Th17 polarization in vitro, naive T cells from Adcy10-/- mice exhibited reduced IL17 secretion and IL-17+ T-cell proliferation suggesting that differentiation into Th17 cells is suppressed without sAC activity. Interestingly, loss of sAC did not impact the expression of Th17 lineage-defining transcription factors (such as Rorc and cMaf) but rather was required for CREB-dependent gene expression, which is known to support Th17 cell gene expression. Finally, topical application of small molecule sAC inhibitors (sACi) reduced imiquimod-induced psoriasiform dermatitis and Il17 gene expression in the skin. Collectively, these findings demonstrate that sAC is important for psoriasiform dermatitis in mouse skin. sACi may provide an alternative class of topical therapeutics for Th17-mediated skin diseases.

Abstract 2229: Cell state transitions shape the intratumoral composition of small cell lung carcinoma

Introduction: Small cell lung carcinoma (SCLC) is characterized by rapid growth, early metastases, and initial response followed by almost invariable resistance to therapy. Studies to date have not determined the extent that diverse transcriptional programs drive SCLC and contribute to its lethality. We sought to characterize the intra-tumoral transcriptional heterogeneity of SCLC. We identify multivalent, distinct, and commutable transcriptional states that confer discrete functions in individual SCLC tumors.

Methods: We developed a biorepository of patient-derived xenografts (PDX) (n = 64) and matched PDX-derived ex vivo lines. We used multi-omic profiling (RNAseq, scRNAseq, and ATAC seq), single-cell fluorescence tracking of fate-defining transcription factor (TF)-driven states, and mathematical and statistical models (Markov chain) to study the topology of the SCLC transcriptional landscape and its plasticity. Human tumor material and associated clinical data were obtained after informed written consent on an IRB-approved prospective registry.

Results: We show that individual SCLC tumors are more heterogenous than previously appreciated, displaying distinctive equilibria in the proportion of cells within well-delimited cellular states (ASCL1, NEUROD1 and YAP1). We also show that transcriptional states undergo transitions, which we identified as a mechanism for maintaining cell state diversity. We measured the kinetics of state transitions using single-cell fluorescence tracking of ex vivo cultures and found that these measure were associated significantly with transition estimates using stochastic transition theory (i.e. Markov chains). ATAC-seq profiling indicated a role for the epigenome in the state diversity of SCLC. Namely, there was preferential promoter accessibility to Ascl1, NeuroD1, and Yap1 in a manner consistent with gene and protein expression in the respective subpopulations. Our results indicate that the transition rates between cell types in individual tumors were largely governed by tendencies to reach an equilibrium state that are critical for configuring intratumoral cell state proportions.

Conclusion: In conclusion, we demonstrate that TF driven cell states can transition to maintain an equilibrium in cell state proportions. Our work advances a model of cellular states and program diversity in SCLC and nominates new therapeutic strategies designed to limit the plasticity of this lethal cancer.

Citation Format: Priyanka Gopal, Aaron Petty, Kevin Rogacki, Titas Bera, Rohan Bareja, Craig Peacock, Mohamed Abazeed. Cell state transitions shape the intratumoral composition of small cell lung carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 2229.

Abstract 4049: TIDAL-01: A selected TIL process that enriches for neoantigen reactive TIL in solid tumors

Background: Tumor infiltrating lymphocyte (TIL) therapy is capable of mediating durable complete responses in melanoma. While solid tumors such as colorectal cancer (CRC), non-small cell lung cancer (NSCLC), ovarian and breast have been shown to contain neoantigen reactive TIL, the success of bulk TIL therapy in these tumors has been limited. Enhancing tumor reactivity through the selective expansion of neoantigen-reactive subpopulations, has demonstrated success in cancers outside of melanoma underscoring the potential of a neoantigen selected TIL approach in indications with lower tumor mutational burdens. Here we demonstrate that the TIDAL-01 process, which utilizes tumor-specific mutation containing peptides to select neoantigen reactive TIL produces TIL products significantly enriched in neoantigen reactivity.

Methods: Fresh tumors were cut into fragments or dissociated and cultured in a primary expansion (preREP). Antigen presenting cells (APCs) were isolated and expanded from patient matched blood. Whole exome and RNA sequencing was performed on tumor tissue and autologous PBMCs and used to predict and prioritize neoantigen mutations. Peptides encoding the mutations were synthesized, loaded onto APCs and co-cultured with autologous TIL. Neoantigen reactive TIL were selected by fluorescence activated cell sorting (FACS), based on the upregulation of the activation markers CD134 and CD137 and expanded with a rapid expansion protocol (REP). Bulk and unselected TIL were expanded alongside for comparison. Neoantigen reactivity was quantified and deconvoluted by cytokine secretion, degranulation, upregulation of CD134/CD137 by flow and when practical, killing of autologous tumor cell lines or organoids.

Results: Successful TIL expansion was achieved in 31/34 (91%) tumors (14/17 CRC, 10/10 NSCLC, 3/3 ovarian and 3/3 melanoma) using both tumor fragments and dissociated tumors. CRC tumors accounted for half of the samples (17/34), and the tumor mutational burden within these samples varied substantially, ranging from 229 to 5436 mutations. Upregulation of CD134 and CD137 and increased IFN-γ production was observed in all samples upon co-culture with peptide loaded APCs. Peptide restimulation and deconvolution revealed that the TIDAL-01 process is capable of enriching for both CD4 and CD8 reactivities. Selected TIL products produced up to 50x more IFN-γ, TNF-α and Granzyme B than bulk TIL and at least 2x higher levels of degranulation, indicative of greater killing potential.

Conclusions: TIL from metastatic CRC, melanoma, NSCLC and ovarian tumors were successfully expanded from the majority of patients. Co-culture of TIL and peptide loaded APCs followed by FACS significantly enriched for neoantigen reactivity compared to bulk TIL, demonstrating the potential of the TIDAL-01 process to produce selected TIL products for the treatment of non-melanoma tumors.

Citation Format: Larissa A. Pikor, Antoine Bernard, Nathalie Brassard, Anna Fritzsche, Anna Kluew, Zachary K. Jilesen, Jake Nikota, Rohan Bareja, Christian Laing, David F. Stojdl, TJ Langer, Stewart Abbot, Barbara Sennino, Simon Turcotte. TIDAL-01: A selected TIL process that enriches for neoantigen reactive TIL in solid tumors. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 4049.

Abstract NG10: Chromatin profiles classify castration-resistant prostate cancers suggesting therapeutic targets

Untreated prostate cancers rely on androgen receptor (AR) signaling for growth and survival, forming the basis for the initial efficacy of androgen deprivation therapy (ADT). Yet the disease can relapse and progress to a lethal stage termed castration-resistant prostate cancer (CRPC). Reactivation of AR signaling represents the most common driver of CRPC growth, and next-generation AR signaling inhibitors (ARSIs) are now used in combination with ADT as first-line therapy. However, ARSIs can result in selective pressure, thereby generating AR-independent tumors. The transition from AR dependence frequently accompanies a change in a phenotype resembling developmental transdifferentiation or “lineage plasticity”. Neuroendocrine prostate cancer, which lacks a defined pathologic classification, is the most studied type of lineage plasticity. However, most AR-null tumors do not exhibit neuroendocrine features and are classified as “double-negative prostate cancer”, the drivers of which are poorly defined. Lineage plasticity studies in CRPC are limited by the lack of genetically defined patient-derived models that recapitulate the disease spectrum. To address this, we developed a biobank of organoids generated from patient biopsies to study the landscape of metastatic CRPC and allow for functional validation assays. Proteins called transcription factors (TFs) are drivers of tumor lineage plasticity. To identify the key TFs that drive the growth of AR-independent tumors, we integrated epigenetic and transcriptomic data generated from CRPC models. We generated ATAC-seq (assay for transposase-accessible chromatin sequencing) and RNA-seq data from 22 metastatic human prostate cancer organoids, six patient-derived xenografts (PDXs), and 12 derived or traditional cell lines. We classified the 40 models into four subtypes and predicted key TFs of each subtype. Besides the well-characterized AR-dependent (CRPC-AR) and neuroendocrine subtypes (CRPC-NE), we identified two novel AR-negative/low groups, including a Wnt-dependent subtype (CRPC-WNT), driven by TCF/LEF TFs, and a stem cell-like (SCL) subtype (CRPC-SCL), driven by the AP-1 family of TFs. To apply the subtype classification to patient samples, we derived RNA-seq signatures from the organoids and applied them to 366 patient samples from two independent CRPC cohorts. The generated signatures recapitulated the four-subtype classification and revealed that CRPC-SCL is the second most prevalent group. Patients from CRPC-SCL are also associated with shorter time under ARSI treatment compared to CRPC-AR, indicating that the ARSI treatments were less effective for CRPC-SCL patients. Additional chromatin immunoprecipitation sequencing (ChIP-seq) analysis indicated that AP-1 (FOSL1) collaboratively binds with TEAD and transcription coactivators, YAP and TAZ. Knocking down of AP-1 (FOSL1), YAP/TAZ decreased cell growth of CRPC-SCL and showed a decrease of chromatin accessibility at CRPC-SCL-specific open chromatin sites and down-regulation of YAP/TAZ target gene expression. In addition, the expression of AP-1 (FOSL1) decreased upon YAP/TAZ knockdown suggesting a positive feedback loop as well as YAP/TAZ as actional targets in CRPC-SCL. We used two small-molecule inhibitors, verteporfin and T-5224, that act on the YAP/TAZ/AP-1 pathway for their potential use as therapeutics for CRPC-SCL tumors, both inhibited the growth of samples from CRPC-SCL but not CRPC-AR. By overexpressing an AP-1 family gene (FOSL1) in AR-high cells, we observed an increase in chromatin accessibility at CRPC-SCL-specific open chromatin sites as well as significant up-regulation of CRPC-SCL signature genes, suggesting that AP-1 functions as a pioneering factor and master regulator for CRPC-SCL. All this work was recently published in Science (Tang, Xu et al. Science, 2022) where I am the co-first author. In summary, by using a diverse biobank of organoids, PDXs, and cell lines that recapitulate the heterogeneity of metastatic prostate cancer, we created a map of the chromatin accessibility and transcriptomic landscape of CRPC. We validated the CRPC-AR and CRPC-NE subtypes and report two novel subtypes of AR-negative/low samples, CRPC-SCL and CRPC-WNT, as well as their respective key TFs. Additional analysis revealed a model in which YAP, TAZ, TEAD, and AP-1 function together and drive oncogenic growth in CRPC-SCL samples. In addition, we proposed small inhibitors of YAP and TAZ that can potentially be used to treat CRPC-SCL patients. Overall, our results show how the stratification of CRPC patients into four subtypes using their transcriptomes can potentially inform appropriate clinical decisions.

Citation Format: Fanying Tang, Duo Xu, Shangqian Wang, Chen Khuan Wong, Alexander Martinez-Fundichely, Cindy J. Lee, Sandra Cohen, Jane Park, Corinne E. Hill, Kenneth Eng, Rohan Bareja, Teng Han, Eric Minwei Liu, Ann Palladino, Wei Di, Dong Gao, Wassim Abida, Shaham Beg, Loredana Puca, Maximiliano Meneses, Elisa de Stanchina, Michael F. Berger, Anuradha Gopalan, Lukas E. Dow, Juan Miguel Mosquera, Himisha Beltran, Cora N. Sternberg, Ping Chi, Howard I. Scher, Andrea Sboner, Yu Chen, Ekta Khurana. Chromatin profiles classify castration-resistant prostate cancers suggesting therapeutic targets. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr NG10.

Obesity promotes breast epithelium DNA damage in women carrying a germline mutation in BRCA1 or BRCA2

Obesity, defined as a body mass index (BMI) ≥ 30, is an established risk factor for breast cancer among women in the general population after menopause. Whether elevated BMI is a risk factor for women with a germline mutation in BRCA1 or BRCA2 is less clear because of inconsistent findings from epidemiological studies and a lack of mechanistic studies in this population. Here, we show that DNA damage in normal breast epithelia of women carrying a BRCA mutation is positively correlated with BMI and with biomarkers of metabolic dysfunction. In addition, RNA sequencing showed obesity-associated alterations to the breast adipose microenvironment of BRCA mutation carriers, including activation of estrogen biosynthesis, which affected neighboring breast epithelial cells. In breast tissue explants cultured from women carrying a BRCA mutation, we found that blockade of estrogen biosynthesis or estrogen receptor activity decreased DNA damage. Additional obesity-associated factors, including leptin and insulin, increased DNA damage in human BRCA heterozygous epithelial cells, and inhibiting the signaling of these factors with a leptin-neutralizing antibody or PI3K inhibitor, respectively, decreased DNA damage. Furthermore, we show that increased adiposity was associated with mammary gland DNA damage and increased penetrance of mammary tumors in Brca1+/- mice. Overall, our results provide mechanistic evidence in support of a link between elevated BMI and breast cancer development in BRCA mutation carriers. This suggests that maintaining a lower body weight or pharmacologically targeting estrogen or metabolic dysfunction may reduce the risk of breast cancer in this population.

Breast adipose tissue-derived extracellular vesicles from women with obesity stimulate mitochondrial-induced dysregulated tumor cell metabolism

Breast adipose tissue is an important contributor to the obesity-breast cancer link. Dysregulated cell metabolism is now an accepted hallmark of cancer. Extracellular vesicles (EVs) are nanosized particles containing selective cargo, such as miRNAs, that act locally or circulate to distant sites to modulate target cell functions. Here, we found that long-term education of breast cancer cells (MCF7, T47D) with EVs from breast adipose tissue of women who are overweight or obese (O-EVs) leads to sustained increased proliferative potential. RNA-Seq of O-EV-educated cells demonstrates increased expression of genes, such as ATP synthase and NADH: ubiquinone oxidoreductase, involved in oxidative phosphorylation. O-EVs increase respiratory complex protein expression, mitochondrial density, and mitochondrial respiration in tumor cells. Mitochondrial complex I inhibitor, metformin, reverses O-EV-induced cell proliferation. Several miRNAs, miR-155-5p, miR-10a-3p, and miR-30a-3p, which promote mitochondrial respiration and proliferation, are enriched in O-EVs relative to EVs from lean women. O-EV-induced proliferation and mitochondrial activity are associated with stimulation of the Akt/mTOR/P70S6K pathway, and are reversed upon silencing of P70S6K. This study reveals a new facet of the obesity-breast cancer link with human breast adipose tissue-derived EVs causing the metabolic reprogramming of ER+ breast cancer cells.

Multivalent state transitions shape the intratumoral composition of small cell lung carcinoma

Studies to date have not resolved how diverse transcriptional programs contribute to the intratumoral heterogeneity of small cell lung carcinoma (SCLC), an aggressive tumor associated with a dismal prognosis. Here, we identify distinct and commutable transcriptional states that confer discrete functional attributes in individual SCLC tumors. We combine an integrative approach comprising the transcriptomes of 52,975 single cells, high-resolution measurement of cell state dynamics at the single-cell level, and functional and correlative studies using treatment naïve xenografts with associated clinical outcomes. We show that individual SCLC tumors contain distinctive proportions of stable cellular states that are governed by bidirectional cell state transitions. Using drugs that target the epigenome, we reconfigure tumor state composition in part by altering individual state transition rates. Our results reveal new insights into how single-cell transition behaviors promote cell state equilibrium in SCLC and suggest that facile plasticity underlies its resistance to therapy and lethality.

Metastatic pancreatic neuroendocrine tumors feature elevated T cell infiltration

Pancreatic neuroendocrine tumors (PNETs) are malignancies arising from the islets of Langerhans. Therapeutic options are limited for the over 50% of patients who present with metastatic disease. We aimed to identify mechanisms to remodel the PNET tumor microenvironment (TME) to ultimately enhance susceptibility to immunotherapy. The TMEs of localized and metastatic PNETs were investigated using an approach that combines RNA-Seq, cancer and T cell profiling, and pharmacologic perturbations. RNA-Seq analysis indicated that the primary tumors of metastatic PNETs showed significant activation of inflammatory and immune-related pathways. We determined that metastatic PNETs featured increased numbers of tumor-infiltrating T cells compared with localized tumors. T cells isolated from both localized and metastatic PNETs showed evidence of recruitment and antigen-dependent activation, suggestive of an immune-permissive microenvironment. A computational analysis suggested that vorinostat, a histone deacetylase inhibitor, may perturb the transcriptomic signature of metastatic PNETs. Treatment of PNET cell lines with vorinostat increased chemokine CCR5 expression by NF-κB activation. Vorinostat treatment of patient-derived metastatic PNET tissues augmented recruitment of autologous T cells, and this augmentation was substantiated in a mouse model of PNET. Pharmacologic induction of chemokine expression may represent a promising approach for enhancing the immunogenicity of metastatic PNET TMEs.

Federated learning enables big data for rare cancer boundary detection

Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations. Federated ML (FL) provides an alternative paradigm for accurate and generalizable ML, by only sharing numerical model updates. Here we present the largest FL study to-date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature (n = 6, 314). We demonstrate a 33% delineation improvement for the surgically targetable tumor, and 23% for the complete tumor extent, over a publicly trained model. We anticipate our study to: 1) enable more healthcare studies informed by large diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further analyses for glioblastoma by releasing our consensus model, and 3) demonstrate the FL effectiveness at such scale and task-complexity as a paradigm shift for multi-site collaborations, alleviating the need for data-sharing.

Abstract B026: Chromatin profiles classify castration-resistant prostate cancers suggesting therapeutic targets

In castration-resistant prostate cancer (CRPC), the loss of androgen receptor (AR) dependence leads to clinically aggressive tumors with few therapeutic options. We used ATAC-seq (assay for transposase-accessible chromatin sequencing), RNA-seq, and DNA sequencing to investigate 22 organoids, six patient-derived xenografts, and 12 cell lines. We identified the well-characterized AR-dependent and neuroendocrine subtypes, as well as two AR-negative/low groups: a Wnt-dependent subtype, and a stem cell–like (SCL) subtype driven by activator protein–1 (AP-1) transcription factors. We used transcriptomic signatures to classify 366 patients, which showed that SCL is the second most common subtype of CRPC after AR-dependent. Our data suggest that AP-1 interacts with the YAP/TAZ and TEAD proteins to maintain subtype-specific chromatin accessibility and transcriptomic landscapes in this group. Together, this molecular classification reveals drug targets and can potentially guide therapeutic decisions.

Citation Format: Fanying Tang, Duo Xu, Shangqian Wang, Chen Khuan Wong, Alexander Martinez-Fundichely, Cindy Lee, Sandra Cohen, Jane Park, Corinne Hill, Kenneth Eng, Rohan Bareja, Teng Han, Eric Minwei Liu, Ann Palladino, Wei Di, Dong Gao, Wassim Abida, Shaham Beg, Loredana Puca, Maximiliano Meneses, Elisa De Stanchina, Michael Berger, Anuradha Gopalan, Lukas Dow, Juan Miguel Mosquera, Himisha Beltran, Cora Sternberg, Ping Chi, Howard Scher, Andrea Sboner, Yu Chen, Ekta Khurana. Chromatin profiles classify castration-resistant prostate cancers suggesting therapeutic targets [abstract]. In: Proceedings of the AACR Special Conference: Cancer Epigenomics; 2022 Oct 6-8; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2022;82(23 Suppl_2):Abstract nr B026.

Whole-genome characterization of myoepithelial carcinomas of the soft tissue

Myoepithelial carcinomas (MECs) of soft tissue are rare and aggressive tumors affecting young adults and children, but their molecular landscape has not been comprehensively explored through genome sequencing. Here, we present the whole-exome sequencing (WES), whole-genome sequencing (WGS), and RNA sequencing findings of two MECs. Patients 1 and 2 (P1, P2), both male, were diagnosed at 27 and 37 yr of age, respectively, with shoulder (P1) and inguinal (P2) soft tissue tumors. Both patients developed metastatic disease, and P2 died of disease. P1 tumor showed a rhabdoid cytomorphology and a complete loss of INI1 (SMARCB1) expression, associated with a homozygous SMARCB1 deletion. The tumor from P2 showed a clear cell/small cell morphology, retained INI1 expression and strong S100 positivity. By WES and WGS, tumors from both patients displayed low tumor mutation burdens, and no targetable alterations in cancer genes were detected. P2's tumor harbored an EWSR1::KLF15 rearrangement, whereas the tumor from P1 showed a novel ASCC2::GGNBP2 fusion. WGS evidenced a complex genomic event involving mainly Chromosomes 17 and 22 in the tumor from P1, which was consistent with chromoplexy. These findings are consistent with previous reports of EWSR1 rearrangements (50% of cases) in MECs and provide a genetic basis for the loss of SMARCB1 protein expression observed through immunohistochemistry in 10% of 40% of MEC cases. The lack of additional driver mutations in these tumors supports the hypothesis that these alterations are the key molecular events in MEC evolution. Furthermore, the presence of complex structural variant patterns, invisible to WES, highlights the novel biological insights that can be gained through the application of WGS to rare cancers.

NIMG-88. A TRANSFER LEARNING APPROACH FOR AUTOMATIC SEGMENTATION OF TUMOR SUB-COMPARTMENTS IN PEDIATRIC MEDULLOBLASTOMA USING MULTIPARAMETRIC MRI: PRELIMINARY FINDINGS

PURPOSE

Superior outcomes for medulloblastoma (MB) requires precise surgical resection which can be guided by tumor segmentation. We present the first attempt at automatic segmentation of MB tumors via a hierarchical transfer-learning model that (1) segments the entire tumor habitat (enhancing tumor (ET), necrosis/non-enhancing tumor (NET), edema), followed by (2) training separate models for each of the sub-compartments. Transfer learning from adult brain tumors is used to optimize segmentation of tumor sub-compartments for pediatric MB.

METHODS

We evaluated 300 adult glioma studies (BRATS) and 49 pediatric MB studies (2-18 years old), both consisting of Gd-T1w, T2w, FLAIR sequences. The MB cohort was collected from Children's Hospital of Los Angeles (Nf19) and Cincinnati Children’s Hospital Medical Center (Nf30). Scans were registered to age-specific pediatric atlases, followed by bias correction and skull-stripping. Ground truth for the tumor sub-compartments was generated via consensus across two experts. We employed a 3D nn-Unet segmentation model on BRATS dataset using initial learning rate of 0.01, stochastic gradient descent as optimizer, and an average of dice loss and cross-entropy loss as the loss function. A hierarchical transfer learning model with Models Genesis was then applied, which allowed for fine tuning every layer on the pediatric MB dataset, across 5-fold cross validation. Dice score was used as performance metric, such that a perfect overlap between ground truth and prediction would yield a Dice score of 1.

RESULTS

Our 3D hierarchical segmentation model yielded mean dice scores of 0.85±0.03 for the entire tumor habitat; 0.77±0.048 for ET, 0.73±0.09 for edema, and 0.56±0.09 for NET + necrosis segmentation, across cross-validation runs. Overall, tumor outline and segmentation matched well with the ground truth, especially for the entire tumor, ET and enhancing tumor sub-compartments.

CONCLUSIONS

Our segmentation approach holds promise for accurate automated delineation of the tumor sub-compartments in pediatric Medulloblastoma.

A nuclear cAMP microdomain suppresses tumor growth by Hippo pathway inactivation

Cyclic AMP (cAMP) signaling is localized to multiple spatially distinct microdomains, but the role of cAMP microdomains in cancer cell biology is poorly understood. Here, we present a tunable genetic system that allows us to activate cAMP signaling in specific microdomains. We uncover a nuclear cAMP microdomain that activates a tumor-suppressive pathway in a broad range of cancers by inhibiting YAP, a key effector protein of the Hippo pathway, inside the nucleus. We show that nuclear cAMP induces a LATS-dependent pathway leading to phosphorylation of nuclear YAP solely at serine 397 and export of YAP from the nucleus with no change in YAP protein stability. Thus, nuclear cAMP inhibition of nuclear YAP is distinct from other known mechanisms of Hippo regulation. Pharmacologic targeting of specific cAMP microdomains remains an untapped therapeutic approach for cancer; thus, drugs directed at the nuclear cAMP microdomain may provide avenues for the treatment of cancer.

Inhibition of FGF receptor blocks adaptive resistance to RET inhibition in CCDC6-RET-rearranged thyroid cancer

Genetic alterations in RET lead to activation of ERK and AKT signaling and are associated with hereditary and sporadic thyroid cancer and lung cancer. Highly selective RET inhibitors have recently entered clinical use after demonstrating efficacy in treating patients with diverse tumor types harboring RET gene rearrangements or activating mutations. In order to understand resistance mechanisms arising after treatment with RET inhibitors, we performed a comprehensive molecular and genomic analysis of a patient with RET-rearranged thyroid cancer. Using a combination of drug screening and proteomic and biochemical profiling, we identified an adaptive resistance to RET inhibitors that reactivates ERK signaling within hours of drug exposure. We found that activation of FGFR signaling is a mechanism of adaptive resistance to RET inhibitors that activates ERK signaling. Combined inhibition of FGFR and RET prevented the development of adaptive resistance to RET inhibitors, reduced cell viability, and decreased tumor growth in cellular and animal models of CCDC6-RET-rearranged thyroid cancer.

Chromatin profiles classify castration-resistant prostate cancers suggesting therapeutic targets

In castration-resistant prostate cancer (CRPC), the loss of androgen receptor (AR) dependence leads to clinically aggressive tumors with few therapeutic options. We used ATAC-seq (assay for transposase-accessible chromatin sequencing), RNA-seq, and DNA sequencing to investigate 22 organoids, six patient-derived xenografts, and 12 cell lines. We identified the well-characterized AR-dependent and neuroendocrine subtypes, as well as two AR-negative/low groups: a Wnt-dependent subtype, and a stem cell-like (SCL) subtype driven by activator protein-1 (AP-1) transcription factors. We used transcriptomic signatures to classify 366 patients, which showed that SCL is the second most common subtype of CRPC after AR-dependent. Our data suggest that AP-1 interacts with the YAP/TAZ and TEAD proteins to maintain subtype-specific chromatin accessibility and transcriptomic landscapes in this group. Together, this molecular classification reveals drug targets and can potentially guide therapeutic decisions.

Classifying breast cancer in ultrahigh-resolution optical coherence tomography images using convolutional neural networks

Optical coherence tomography (OCT) is being investigated in breast cancer diagnostics as a real-time histology evaluation tool. We present a customized deep convolutional neural network (CNN) for classification of breast tissues in OCT B-scans. Images of human breast samples from mastectomies and breast reductions were acquired using a custom ultrahigh-resolution OCT system with 2.72 µm axial resolution and 5.52 µm lateral resolution. The network achieved 96.7% accuracy, 92% sensitivity, and 99.7% specificity on a dataset of 23 patients. The usage of deep learning will be important for the practical integration of OCT into clinical practice.

Utility of Multimodality Molecular Profiling for Pediatric Patients with Central Nervous System Tumors

Background

As our molecular understanding of pediatric central nervous system (CNS) tumors evolves, so too do diagnostic criteria, prognostic biomarkers, and clinical management decision-making algorithms. Here, we explore the clinical utility of wide-breadth assays including whole-exome sequencing (WES), RNA sequencing (RNAseq), and methylation array profiling as an addition to more conventional diagnostic tools for pediatric CNS tumors.

Methods

This study comprises an observational, prospective cohort followed at a single academic medical center over three years. Paired tumor and normal control specimens from 53 enrolled pediatric patients with CNS tumors underwent WES. A subset of cases also underwent RNAseq (n=28) and/or methylation array analysis (n=27).

Results

RNAseq identified driver and/or targetable fusions in 7/28 cases, including potentially targetable NTRK fusions, and uncovered possible rationalized treatment options based on outlier gene expression in 23/28 cases. Methylation profiling added diagnostic confidence (8/27 cases) or diagnostic subclassification endorsed by the WHO (10/27 cases). WES detected clinically pertinent Tier 1 or Tier 2 variants in 36/53 patients. Of these, 16/17 SNVs/indels and 10/19 copy number alterations would have been detected by current in-house conventional tests including targeted sequencing panels.

Conclusions

Over a heterogeneous set of pediatric tumors, RNAseq and methylation profiling frequently yielded clinically relevant information orthogonal to conventional methods while WES demonstrated clinically-relevant added-value primarily via copy number assessment. Longitudinal cohorts comparing targeted molecular pathology workup versus broader genomic approaches including therapeutic selection based on RNA-expression data will be necessary to further evaluate the clinical benefits of these modalities in practice.

Abstract P2-06-03: Obesity is associated with DNA damage in the breast epithelium of BRCA1 and BRCA2 mutation carriers: A role for estrogens & strategies for prevention

Background: Elevated bodyweight is a risk factor for breast cancer development in women who carry a mutation in the DNA repair enzymes BRCA1 and BRCA2. However, the mechanistic basis for this association is unknown. Breast adipose tissue undergoes significant changes in the setting of weight gain and obesity, including elevation in aromatase expression which leads to the increased biosynthesis of estrogens. Given that estrogens and estrogen metabolites have known pro-proliferative and genotoxic effects, we hypothesized that in BRCA1/2 mutation carriers, obesity may be positively associated with breast epithelial cell DNA damage, thereby increasing the risk of tumorigenesis. Furthermore, we examined the impact of inhibiting estrogen signaling or production on breast epithelium DNA damage in BRCA1/2 mutation carriers. Methods: Tissue microarrays were generated from non-cancerous breast tissue derived from 72 women carrying a mutation in BRCA1 or BRCA2 with known body mass index (BMI, kg/m2). Breast epithelium DNA damage was quantified by immunofluorescence (IF) staining of the DNA damage marker γH2AX. RNA-Seq was performed on breast organoids to assess differences in gene expression in relation to BMI. Associations between DNA damage and biomarkers of estrogen biosynthesis and bioavailability, including aromatase expression in the breast and circulating steroid hormone binding globulin (SHBG), were also evaluated. To explore the effect of blocking estrogen signaling or production on DNA damage, non-tumorous breast tissue explants from BRCA1/2 mutation carriers were cultured with fulvestrant, an estrogen receptor degrader, or metformin, an anti-diabetic drug that also reduces aromatase expression in the breast. Breast epithelial cell DNA damage was measured in control vs treated explants by γH2AX IF staining after 24 hours of treatment. Results: BMI was positively correlated with DNA damage in the breast epithelium of BRCA1/2 mutation carriers. Upstream analysis of gene expression in organoids derived from women with a BMI ≥ 30 compared to &lt;25, revealed activation of estrogen signaling. Further supporting a contribution of locally-derived and circulating estrogens to obesity-related DNA damage, breast aromatase expression was found to be positively correlated with DNA damage while circulating SHBG levels showed a negative correlation. Targeting estrogen signaling with fulvestrant significantly reduced breast epithelium DNA damage in breast explants from women carrying a mutation in either BRCA1 or BRCA2. Interestingly, metformin, also caused a significant reduction in DNA damage in breast explants. Conclusion: These data provide mechanistic evidence for the link between obesity and breast cancer in BRCA1 and BRCA2 mutation carriers through identification of a positive association between BMI and breast epithelial cell DNA damage. Importantly, these studies demonstrate that fulvestrant and metformin, drugs already approved for clinical use, decrease breast epithelial cell DNA damage. Further studies are warranted to determine whether targeting estrogens or use of metformin may be effective risk reduction strategies in BRCA1/2 mutation carriers with excess bodyweight who are at high risk for breast cancer development and currently have limited options for prevention beyond surgical intervention. Support: NIH R01CA215797, NIH F31CA236306, Anne Moore Breast Cancer Research Fund

Citation Format: Priya Bhardwaj, Neil M. Iyengar, Sofya Oshchepkova, Phoebe Piloco, Rohan Bareja, Olivier Elemento, Dilip D. Giri, Michael Pollak, Monica Morrow, Jason A. Spector, Kristy A. Brown. Obesity is associated with DNA damage in the breast epithelium of BRCA1 and BRCA2 mutation carriers: A role for estrogens & strategies for prevention [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P2-06-03.

Abstract P5-05-02: Extracellular vesicles from obese human breast adipose tissue promote breast cancer cell proliferation by increasing mitochondrial mass and stimulating mitochondrial respiration

Background: Obesity is associated with increased breast cancer incidence and progression. Breast adipose tissue produces a number of factors hypothesized to contribute to this observation, including estrogens, adipokines, inflammatory mediators, and free fatty acids. Adipose tissue also releases extracellular vesicles (EVs) that can act locally or circulate to distant sites. EVs are nano-sized particles that are characterized by their lipid bilayer and contain nucleic acids, proteins, lipids and other molecules that can affect target cells. Recently, EVs derived from adipose tissue have received increasing attention and numerous studies have been conducted to explore the relationship between adipose tissue-derived EVs and different types of cancers, including breast cancer. Here, we provide novel insights into the sustained effects of EVs, collected from fresh breast adipose tissue, via effects on mitochondrial mass and respiration in estrogen receptor (ER)-positive breast cancer cells. Methods: EVs were collected from fresh breast adipose tissue from reduction mammoplasties. Long-term education was performed by treating MCF7 and T47D breast cancer cell lines with 3 doses of EVs over the course of 7 days. xCelligence was used to quantify cell proliferation. RNA Seq was performed on one of the educated MCF7 pairs. Mitochondrial respiration was evaluated using the Seahorse XF instrument. MitoTracker Green fluorescent staining and transmission electron microscopy (TEM) were used to assess mitochondrial density and morphology. Western blotting was used to identify pathways that may be involved in the effects of adipose tissue derived EVs on breast cancer cells. Results: EVs derived from adipose tissue of overweight/obese individuals (O-EVs) stimulate proliferation of MCF7 breast cancer cells compared with that from lean individuals (L-EVs). Compared with controls, O-EVs also induce proliferation of T47D breast cancer cells. RNA-Seq data reveal that genes involved in oxidative phosphorylation (OXPHOS) are significantly upregulated in O-EV-treated MCF7 cells compared to control. Compared with control cells, basal mitochondrial respiration of O-EV-treated MCF7 cells is significantly higher than control. Metformin, which inhibits mitochondrial complex I and ATP synthase, inhibits the O-EV-stimulated proliferation of MCF7 cells, while having no effect on the proliferation of control cells. Both MitoTracker Green fluorescent staining and TEM demonstrate increased mitochondrial mass/number. Western blotting reveals that O-EVs significantly increase phosphorylation of Akt, which is the major upstream regulator of mTOR signaling, and phosphorylation of P70 S6 kinase and 4EBP1, which are two main downstream effectors of mTOR signaling, affecting both protein synthesis and mitochondrial respiration. Conclusions: Breast adipose tissue EVs from overweight and obese women stimulate the proliferation of ER+ breast cancer cells by increasing mitochondrial mass and stimulating mitochondrial respiration, providing a novel mechanistic link between obesity and breast cancer. Our studies also suggest that metformin or mTOR-targeting drugs, may prove useful to break obesity-breast cancer link. Support: NIH R01CA215797, Anne Moore Breast Cancer Research Fund

Citation Format: Shuchen Liu, Alberto Benito-Martin, Phoebe Piloco, Catherine Liu, Paul Paik, Jason A Spector, Fanny A Pelissier Vatter, David Lyden, David M Otterburn, Leslie Cohen, Olivier Elemento, Rohan Bareja, Leona Cohen-Gould, Samuel Calto, Kristy A Brown. Extracellular vesicles from obese human breast adipose tissue promote breast cancer cell proliferation by increasing mitochondrial mass and stimulating mitochondrial respiration [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P5-05-02.

Extracellular Matrix in Synthetic Hydrogel-Based Prostate Cancer Organoids Regulate Therapeutic Response to EZH2 and DRD2 Inhibitors

Following treatment with androgen receptor (AR) pathway inhibitors, ≈20% of prostate cancer patients progress by shedding their AR-dependence. These tumors undergo epigenetic reprogramming turning castration-resistant prostate cancer adenocarcinoma (CRPC-Adeno) into neuroendocrine prostate cancer (CRPC-NEPC). No targeted therapies are available for CRPC-NEPCs, and there are minimal organoid models to discover new therapeutic targets against these aggressive tumors. Here, using a combination of patient tumor proteomics, RNA sequencing, spatial-omics, and a synthetic hydrogel-based organoid, putative extracellular matrix (ECM) cues that regulate the phenotypic, transcriptomic, and epigenetic underpinnings of CRPC-NEPCs are defined. Short-term culture in tumor-expressed ECM differentially regulated DNA methylation and mobilized genes in CRPC-NEPCs. The ECM type distinctly regulates the response to small-molecule inhibitors of epigenetic targets and Dopamine Receptor D2 (DRD2), the latter being an understudied target in neuroendocrine tumors. In vivo patient-derived xenograft in immunocompromised mice showed strong anti-tumor response when treated with a DRD2 inhibitor. Finally, we demonstrate that therapeutic response in CRPC-NEPCs under drug-resistant ECM conditions can be overcome by first cellular reprogramming with epigenetic inhibitors, followed by DRD2 treatment. The synthetic organoids suggest the regulatory role of ECM in therapeutic response to targeted therapies in CRPC-NEPCs and enable the discovery of therapies to overcome resistance.

Human Rhinovirus Infection of the Respiratory Tract Affects Sphingolipid Synthesis

The 17q21 asthma susceptibility locus includes asthma risk alleles associated with decreased sphingolipid synthesis, likely resulting from increased expression of ORMDL3. ORMDL3 inhibits serine-palmitoyl transferase (SPT), the rate limiting enzyme of de novo sphingolipid synthesis. There is evidence that decreased sphingolipid synthesis is critical to asthma pathogenesis. Children with asthma and 17q21 asthma risk alleles display decreased sphingolipid synthesis in blood cells. Reduced SPT activity results in airway hyperreactivity, a hallmark feature of asthma. 17q21 asthma risk alleles are also linked to childhood infections with human rhinovirus (RV). This study evaluates the interaction of RV with the de novo sphingolipid synthesis pathway, and the alterative effects of concurrent SPT inhibition in SPT-deficient mice and human airway epithelial cells. In mice, RV infection shifted lung sphingolipid synthesis gene expression to a pattern that resembles genetic SPT deficiency, including decreased expression of Sptssa, a small SPT subunit. This pattern was pronounced in lung EpCAM+ epithelial cells and reproduced in human bronchial epithelial cells. RV did not affect Sptssa expression in lung CD45+ immune cells. RV increased sphingolipids unique to the de novo synthesis pathway in mouse lung and human airway epithelial cells. Interestingly, these de novo sphingolipid species were reduced in the blood of RV infected, wild-type mice. RV exacerbated SPT-deficiency-associated airway hyperreactivity. Airway inflammation was similar in RV-infected wild-type and SPT deficient mice. This study reveals the effects of RV infection on the de novo sphingolipid synthesis pathway, elucidating a potential mechanistic link between 17q21 asthma risk alleles and rhinoviral infection.

Validation of a Circulating Tumor DNA-Based Next-Generation Sequencing Assay in a Cohort of Patients with Solid tumors: A Proposed Solution for Decentralized Plasma Testing

BACKGROUND

Characterization of circulating tumor DNA (ctDNA) has been integrated into clinical practice. Although labs have standardized validation procedures to develop single locus tests, the efficacy of on-site plasma-based next-generation sequencing (NGS) assays still needs to be proved.

MATERIALS AND METHODS

In this retrospective study, we profiled DNA from matched tissue and plasma samples from 75 patients with cancer. We applied an NGS test that detects clinically relevant alterations in 33 genes and microsatellite instability (MSI) to analyze plasma cell-free DNA (cfDNA).

RESULTS

The concordance between alterations detected in both tissue and plasma samples was higher in patients with metastatic disease. The NGS test detected 77% of sequence alterations, amplifications, and fusions that were found in metastatic samples compared with 45% of those alterations found in the primary tumor samples (p = .00005). There was 87% agreement on MSI status between the NGS test and tumor tissue results. In three patients, MSI-high ctDNA correlated with response to immunotherapy. In addition, the NGS test revealed an FGFR2 amplification that was not detected in tumor tissue from a patient with metastatic gastric cancer, emphasizing the importance of profiling plasma samples in patients with advanced cancer.

CONCLUSION

Our validation experience of a plasma-based NGS assay advances current knowledge about translating cfDNA testing into clinical practice and supports the application of plasma assays in the management of oncology patients with metastatic disease. With an in-house method that minimizes the need for invasive procedures, on-site cfDNA testing supplements tissue biopsy to guide precision therapy and is entitled to become a routine practice.

IMPLICATIONS FOR PRACTICE

This study proposes a solution for decentralized liquid biopsy testing based on validation of a next-generation sequencing (NGS) test that detects four classes of genomic alterations in blood: sequence mutations (single nucleotide substitutions or insertions and deletions), fusions, amplifications, and microsatellite instability (MSI). Although there are reference labs that perform single-site comprehensive liquid biopsy testing, the targeted assay this study validated can be established locally in any lab with capacity to offer clinical molecular pathology assays. To the authors' knowledge, this is the first report that validates evaluating an on-site plasma-based NGS test that detects the MSI status along with common sequence alterations encountered in solid tumors.

Functional comparison of exome capture-based methods for transcriptomic profiling of formalin-fixed paraffin-embedded tumors

The availability of fresh frozen (FF) tissue is a barrier for implementing RNA sequencing (RNA-seq) in the clinic. The majority of clinical samples are stored as formalin-fixed, paraffin-embedded (FFPE) tissues. Exome capture platforms have been developed for RNA-seq from FFPE samples. However, these methods have not been systematically compared. We performed transcriptomic analysis of 32 FFPE tumor samples from 11 patients using three exome capture-based methods: Agilent SureSelect V6, TWIST NGS Exome, and IDT XGen Exome Research Panel. We compared these methods to the TruSeq RNA-seq of fresh frozen (FF-TruSeq) tumor samples from the same patients. We assessed the recovery of clinically relevant biological features. The Spearman's correlation coefficients between the global expression profiles of the three capture-based methods from FFPE and matched FF-TruSeq were high (rho = 0.72-0.9, p < 0.05). A significant correlation between the expression of key immune genes between individual capture-based methods and FF-TruSeq (rho = 0.76-0.88, p < 0.05) was observed. All exome capture-based methods reliably detected outlier expression of actionable gene transcripts, including ERBB2, MET, NTRK1, and PPARG. In urothelial cancer samples, the Agilent assay was associated with the highest molecular subtype concordance with FF-TruSeq (Cohen's k = 0.7, p < 0.01). The Agilent and IDT assays detected all the clinically relevant fusions that were initially identified in FF-TruSeq. All FFPE exome capture-based methods had comparable performance and concordance with FF-TruSeq. Our findings will enable the implementation of RNA-seq in the clinic to guide precision oncology approaches.

Abstract 1434: Uncovering the mechanism of adaptive resistance to RET inhibitors in RET rearranged thyroid cancer

Kinase inhibitors are a critical tool for cancer treatment, but their efficacy is limited by resistance mechanisms. In thyroid and lung cancer RET gene rearrangements result in constitutive MAPK pathway activation and drive malignancy. While treatment with new selective RET inhibitors has been associated with significant clinical responses, a majority of patients experience a partial response or disease stabilization as their best clinical outcome. Resistance to RET inhibitors has emerged as a clinical problem requiring new treatment strategies. Using a combination of drug screening, proteomic, and biochemical profiling we identified a strategy to overcome adaptive resistance to RET inhibitors in human thyroid cancer cell lines and vertebrate animal models. The identification of alternative signaling pathways that reactivates ERK signaling as a mechanism of resistance to RET inhibitors provides an opportunity to anticipate resistance to selective RET inhibitors and use combination therapy that leads to more significant and durable anti-tumor responses in patients with RET rearranged cancers.

Citation Format: Renuka Raman, Jacques Villefranc, Timothy Ullmann, Jessica Thiesmeyer, Viviana Anelli, Chantal Pauli, Rohan Bareja, Kenneth Wha Eng, Princesca Dorsaint, David Wilkes, Shaham Beg, Reid Shaw, Michael Churchill, Naveen Gumpeni, Theresa Scognamiglio, Mark Rubin, Carla Grandori, Juan Mosquera, Juan Mosquera, Juan Mosquera, Noah Dephoure, Andrea Sboner, Olivier Elemento, Yariv Houvras. Uncovering the mechanism of adaptive resistance to RET inhibitors in RET rearranged thyroid cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 1434.

Temporal evolution of cellular heterogeneity during the progression to advanced AR-negative prostate cancer

Despite advances in the development of highly effective androgen receptor (AR)-directed therapies for the treatment of men with advanced prostate cancer, acquired resistance to such therapies frequently ensues. A significant subset of patients with resistant disease develop AR-negative tumors that lose their luminal identity and display neuroendocrine features (neuroendocrine prostate cancer (NEPC)). The cellular heterogeneity and the molecular evolution during the progression from AR-positive adenocarcinoma to AR-negative NEPC has yet to be characterized. Utilizing a new genetically engineered mouse model, we have characterized the synergy between Rb1 loss and MYCN (encodes N-Myc) overexpression which results in the formation of AR-negative, poorly differentiated tumors with high metastatic potential. Single-cell-based approaches revealed striking temporal changes to the transcriptome and chromatin accessibility which have identified the emergence of distinct cell populations, marked by differential expression of Ascl1 and Pou2f3, during the transition to NEPC. Moreover, global DNA methylation and the N-Myc cistrome are redirected following Rb1 loss. Altogether, our data provide insight into the progression of prostate adenocarcinoma to NEPC.

Targeting the epichaperome as an effective precision medicine approach in a novel PML-SYK fusion acute myeloid leukemia

The epichaperome is a new cancer target composed of hyperconnected networks of chaperome members that facilitate cell survival. Cancers with an altered chaperone configuration may be susceptible to epichaperome inhibitors. We developed a flow cytometry-based assay for evaluation and monitoring of epichaperome abundance at the single cell level, with the goal of prospectively identifying patients likely to respond to epichaperome inhibitors, to measure target engagement, and dependency during treatment. As proof of principle, we describe a patient with an unclassified myeloproliferative neoplasm harboring a novel PML-SYK fusion, who progressed to acute myeloid leukemia despite chemotherapy and allogeneic stem cell transplant. The leukemia was identified as having high epichaperome abundance. We obtained compassionate access to an investigational epichaperome inhibitor, PU-H71. After 16 doses, the patient achieved durable complete remission. These encouraging results suggest that further investigation of epichaperome inhibitors in patients with abundant baseline epichaperome levels is warranted.

Multivalent state transitions regulate the intratumoral composition of small cell lung carcinoma

e20587

Background: Small cell lung carcinoma (SCLC) is an aggressive, tobacco-associated tumor with neuroendocrine features characterized by rapid growth, metastatic progression, and initial response followed by almost invariable resistance to therapy. Studies to date have not resolved the extent that diverse transcriptional programs drive SCLC and contribute to its lethality. Methods: We combined one of the largest and most diverse inventories of patient-derived xenograft models of SCLC with an ex vivo culture system that maintains transcriptional fidelity with matched primary SCLC tumor to identify transcriptional state heterogeneity. Using the expression of the Ascl1, NeuroD1, and Yap1 as markers of well-conserved SCLC states, we developed a state-of-the-art fluorescent platform that can directly measure single-cell state transitions in a multi-layered ecosystem using tandemly integrated reporters. We modeled population dynamics using a discrete time Markov chain and directly measure single-cell state transitions. Results: We show significant cell-state heterogeneity in several SCLC primary tumors, patient-derived xenografts (PDX), and ex vivo cultures. These states comprise distinct subpopulations marked by the master regulatory transcription factors (TFs) Ascl1, NeuroD1, and Yap1. Ex vivo, the 3 TFs are associated with suspension aggregates of small neuroendocrine cells, pre-suspension (loosely adherent) aggregates, and large mesenchymal cells with visible cytoplasm and spindle-like membrane extensions, respectively. We have observed equilibria in cell-state proportions in SCLC tumors both in vivo (PDX) and ex vivo. In addition, we have shown that the “elasticity” of SCLC responses, measured as the extent of clinical response during chemotherapy followed by the time to relapse from the end of therapy, is dependent on tumor TF levels. These observations suggest that mechanistic modeling of intra-tumoral state dynamics is of high clinical relevance. Conclusions: Our integrative approach is poised to formulate and validate a unified model of cellular states and program diversity in SCLC. If successful, the characterization of malignant cell ontogenic programs, their plasticity, and the advancement of new therapies designed to combat plasticity by epigenetic reprogramming will create a new scientific canvas for the study of this highly lethal disease.

Leptin Mediates Obesity-Induced DNA Damage in BRCA1 Breast Epithelial Cells

Background: Obesity is a risk factor for breast cancer development in women who carry a mutation in the DNA repair enzymes BRCA1 or BRCA2. Previously, we found that obesity was positively associated with DNA damage in breast epithelium from BRCA mutation carriers. Furthermore, factors secreted by obese breast adipose tissue stimulated DNA damage in BRCA mutant breast epithelial cells, suggesting a cross-talk between breast epithelial cells and the adipose tissue that surrounds them. We hypothesized that leptin, a hormone secreted in abundance by obese adipose tissue, may be a driver of DNA damage and/or decrease capacity for DNA repair in breast epithelial cells. If true, this would provide a molecular target for intervention to reduce the risk of tumor formation in this high-risk population of women. Methods: RNA-seq followed by Ingenuity Pathway Analysis (IPA) was conducted on primary breast epithelial organoids isolated from lean and obese BRCA mutation carriers. Breast adipose tissue obtained from lean and obese women were cultured as explants for 24 hours to produce lean and obese conditioned media (CM). The effect of leptin on DNA damage was assessed in a non-cancerous breast epithelial cell line (MCF10A) carrying a heterozygous BRCA1 mutation. Immunofluorescence staining of the DNA damage marker ƴH2AX was carried out after treatment with leptin (100ng-800ng), CM, or CM+leptin antibody, used to neutralize leptin. To test whether leptin affects DNA repair capacity, BRCA1+/- MCF10A cells were treated with leptin or vehicle and then irradiated (1Gy) to induce DNA damage. Resolution of damage was quantified at 0, 0.5, 4, 12, and 24 hrs post-irradiation. Results: IPA analysis identified leptin signaling as significantly upregulated in breast epithelial organoids from obese women compared with lean women. Both obese CM and leptin treatment induced DNA damage in BRCA1+/- MCF10A cells while lean CM did not have this effect. Neutralizing leptin in obese CM was sufficient to inhibit obese CM-mediated induction of DNA damage. No significant difference was observed between leptin or vehicle treatments on DNA repair capacity after irradiation of BRCA+/- MCF10A cells. Conclusions: These data identify leptin, an adipose-derived hormone, as a novel driver of DNA damage in breast epithelial cells. To date, no studies have elucidated the molecular mechanisms that explain the increased penetrance of breast cancer in obese BRCA mutation carriers compared to lean BRCA mutation carriers. This work suggests that leptin may be a mediator of the link between obesity and breast cancer development in this population. Further studies are warranted to determine if targeting the leptin signaling axis will be an effective risk reduction strategy in BRCA mutation carriers who have excess adiposity.

Metastasis and Immune Evasion from Extracellular cGAMP Hydrolysis

Cytosolic DNA is characteristic of chromosomally unstable metastatic cancer cells, resulting in constitutive activation of the cGAS-STING innate immune pathway. How tumors co-opt inflammatory signaling while evading immune surveillance remains unknown. Here, we show that the ectonucleotidase ENPP1 promotes metastasis by selectively degrading extracellular cGAMP, an immune-stimulatory metabolite whose breakdown products include the immune suppressor adenosine. ENPP1 loss suppresses metastasis, restores tumor immune infiltration, and potentiates response to immune checkpoint blockade in a manner dependent on tumor cGAS and host STING. Conversely, overexpression of wild-type ENPP1, but not an enzymatically weakened mutant, promotes migration and metastasis, in part through the generation of extracellular adenosine, and renders otherwise sensitive tumors completely resistant to immunotherapy. In human cancers, ENPP1 expression correlates with reduced immune cell infiltration, increased metastasis, and resistance to anti-PD-1/PD-L1 treatment. Thus, cGAMP hydrolysis by ENPP1 enables chromosomally unstable tumors to transmute cGAS activation into an immune-suppressive pathway. SIGNIFICANCE: Chromosomal instability promotes metastasis by generating chronic tumor inflammation. ENPP1 facilitates metastasis and enables tumor cells to tolerate inflammation by hydrolyzing the immunotransmitter cGAMP, preventing its transfer from cancer cells to immune cells.This article is highlighted in the In This Issue feature, p. 995.

Single-cell profiling reveals an endothelium-mediated immunomodulatory pathway in the eye choroid

The activity and survival of retinal photoreceptors depend on support functions performed by the retinal pigment epithelium (RPE) and on oxygen and nutrients delivered by blood vessels in the underlying choroid. By combining single-cell and bulk RNA sequencing, we categorized mouse RPE/choroid cell types and characterized the tissue-specific transcriptomic features of choroidal endothelial cells. We found that choroidal endothelium adjacent to the RPE expresses high levels of Indian Hedgehog and identified its downstream target as stromal GLI1⁺ mesenchymal stem cell–like cells. In vivo genetic impairment of Hedgehog signaling induced significant loss of choroidal mast cells, as well as an altered inflammatory response and exacerbated visual function defects after retinal damage. Our studies reveal the cellular and molecular landscape of adult RPE/choroid and uncover a Hedgehog-regulated choroidal immunomodulatory signaling circuit. These results open new avenues for the study and treatment of retinal vascular diseases and choroid-related inflammatory blinding disorders.

Kaiso (ZBTB33) subcellular partitioning functionally links LC3A/B, the tumor microenvironment, and breast cancer survival

The use of digital pathology for the histomorphologic profiling of pathological specimens is expanding the precision and specificity of quantitative tissue analysis at an unprecedented scale; thus, enabling the discovery of new and functionally relevant histological features of both predictive and prognostic significance. In this study, we apply quantitative automated image processing and computational methods to profile the subcellular distribution of the multi-functional transcriptional regulator, Kaiso (ZBTB33), in the tumors of a large racially diverse breast cancer cohort from a designated health disparities region in the United States. Multiplex multivariate analysis of the association of Kaiso’s subcellular distribution with other breast cancer biomarkers reveals novel functional and predictive linkages between Kaiso and the autophagy-related proteins, LC3A/B, that are associated with features of the tumor immune microenvironment, survival, and race. These findings identify effective modalities of Kaiso biomarker assessment and uncover unanticipated insights into Kaiso’s role in breast cancer progression.

Through automated image analysis, Singhal et al quantify nuclear versus cytoplasmic distribution of the Kaiso transcription factor in breast cancer patient tissue. They find that Kaiso distribution correlates with breast cancer subtype and overall survival, and discover a link between cytoplasmic Kaiso and autophagy marker LC3.

Integration of whole-exome and anchored PCR-based next generation sequencing significantly increases detection of actionable alterations in precision oncology

BACKGROUND

Frequency of clinically relevant mutations in solid tumors by targeted and whole-exome sequencing is ∼30%. Transcriptome analysis complements detection of actionable gene fusions in advanced cancer patients. Goal of this study was to determine the added value of anchored multiplex PCR (AMP)-based next-generation sequencing (NGS) assay to identify further potential drug targets, when coupled with whole-exome sequencing (WES).

METHODS

Selected series of fifty-six samples from 55 patients enrolled in our precision medicine study were interrogated by WES and AMP-based NGS. RNA-seq was performed in 19 cases. Clinically relevant and actionable alterations detected by three methods were integrated and analyzed.

RESULTS

AMP-based NGS detected 48 fusions in 31 samples (55.4%); 31.25% (15/48) were classified as targetable based on published literature. WES revealed 29 samples (51.8%) harbored targetable alterations. TMB-high and MSI-high status were observed in 12.7% and 1.8% of cases. RNA-seq from 19 samples identified 8 targetable fusions (42.1%), also captured by AMP-based NGS. When number of actionable fusions detected by AMP-based NGS were added to WES targetable alterations, 66.1% of samples had potential drug targets. When both WES and RNA-seq were analyzed, 57.8% of samples had targetable alterations.

CONCLUSIONS

This study highlights importance of an integrative genomic approach for precision oncology, including use of different NGS platforms with complementary features. Integrating RNA data (whole transcriptome or AMP-based NGS) significantly enhances detection of potential targets in cancer patients. In absence of fresh frozen tissue, AMP-based NGS is a robust method to detect actionable fusions using low-input RNA from archival tissue.

Role of specialized composition of SWI/SNF complexes in prostate cancer lineage plasticity

Advanced prostate cancer initially responds to hormonal treatment, but ultimately becomes resistant and requires more potent therapies. One mechanism of resistance observed in around 10–20% of these patients is lineage plasticity, which manifests in a partial or complete small cell or neuroendocrine prostate cancer (NEPC) phenotype. Here, we investigate the role of the mammalian SWI/SNF (mSWI/SNF) chromatin remodeling complex in NEPC. Using large patient datasets, patient-derived organoids and cancer cell lines, we identify mSWI/SNF subunits that are deregulated in NEPC and demonstrate that SMARCA4 (BRG1) overexpression is associated with aggressive disease. We also show that SWI/SNF complexes interact with different lineage-specific factors in NEPC compared to prostate adenocarcinoma. These data point to a role for mSWI/SNF complexes in therapy-related lineage plasticity, which may also be relevant for other solid tumors.

The differentiation of prostate adenocarcinoma to neuroendocrine prostate cancer (CRPC-NE) is a mechanism of resistance to androgen deprivation therapy. Here the authors show that SWI/SNF chromatin-remodeling complex is deregulated in CRPC-NE and that the complex interacts with different lineage specific factors throughout prostate cancer transdifferentiation.

Abstract 859: Deep learning predicts expression-based molecular subtypes and immune status of urothelial cancer using digital pathology slides

RNA-sequencing (RNA-seq) has revealed intrinsic subtypes of urothelial carcinoma (UC). We have recently developed a molecular classifier to separate UC tumors to ‘hot' and ‘cold' based on the expression of immune-related genes. Both molecular subtype and immune-status correlate with response to different treatments, however, RNA-seq data is not readily available for all tumors thus limiting our ability to predict treatment response. We hypothesized that a deep learning approach can predict urothelial cancer molecular subtype and classify immune cell levels from pathology tissue slides. To test this hypothesis, we developed a deep learning model to classify urothelial carcinoma subtypes from hematoxylin and eosin (H&E) stained tissue sections using BASE47 luminal-basal classification and our immune-status classifiers based on RNA-seq data from patients in the TCGA dataset as ground truth. Patches of 2048x2048 pixels were generated from 446 whole slide images (WSIs) resulting in a total of 79,053 images. 70% of the patients were used for training, and 15% are being used as a validation set. The remaining 15% of the data will be a blind test set. We used the Resnet-18 architecture, which performed best based on empirical testing (high accuracy while minimizing overfitting). We performed a color normalization step based on the Vahadane algorithm (IEEE Trans Med Imaging. 2016;35(8):1962 71) to analyze the predictive performance and generalizability of the model compared to non-normalized slides. We also used gradient-weighted class activation mapping to highlight the regions of the tissue that may be important for classification. After 20 epochs of training, we achieved a 74% patch prediction accuracy on the validation set with a ROC-AUC of 0.80 for non-normalized immune cell classification. For normalized images, we achieved a 70% patch prediction accuracy on the validation set with a ROC-AUC of 0.75. For the luminal-basal subtype classification task, we achieved a 68% patch wise accuracy on the validation set with a ROC-AUC of 0.76 for normalized data and 68% patch-wise accuracy with a ROC-AUC of 0.74 for non-normalized data. We are currently testing the model on an internal urothelial cancer cohort at Weill Cornell Medicine. Our data demonstrates the utility of deep learning methods in predicting UC molecular subtype and immune status from digital pathology slides. This data has important implications for predicting prognosis and treatment response in UC patients.

Citation Format: Matthew Bryan Brendel, Pegah Khosravi, Emily Tse, Lilly Gu, Kyrillus Shohdy, Rohan Bareja, Bhavneet Bhinder, Olivier Elemento, Bishoy Faltas, Iman Hajirasouliha. Deep learning predicts expression-based molecular subtypes and immune status of urothelial cancer using digital pathology slides [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 859.

Abstract 5310: Chromatin accessibility landscape and transcriptome of castration resistant prostate cancers reveals novel subtypes and diverse master regulators

Castration-resistant prostate cancer (CRPC) is a heterogeneous disease with diverse drivers and mechanisms of resistance to androgen receptor (AR) therapy.

We generated ATAC-seq and RNA-seq data for twenty-four metastatic human prostate cancer organoids and cell lines. Integration of chromatin accessibility profiles and transcriptomes revealed four subtypes: androgen-receptor(AR)-dependent, neuroendocrine, Wnt-dependent and epithelial mesenchymal transition (EMT). The transcriptomic signatures obtained from these four subtypes enable the classification of 100 metastatic prostate cancer patient samples from Institute Precision Medicine (IPM) and 270 published samples from SU2C study, revealing potential therapeutic vulnerabilities. Furthermore, using novel computational algorithms we constructed regulatory networks and identified the master regulators of each subtype. Currently we're carrying out western blot and quantitative PCR to confirm the subtypes of all prostate cancer models we use, and using drug sensitivity test, CRISPR knockout and cell competition assay to validate the functions of candidates in each subtype.

Our study has characterized global chromatin accessibility landscape and transcriptome in the largest number of metastatic prostate cancer models, which revealed novel subtypes and corresponding tumor drivers. Collectively, these organoids, cell lines and matching sequence data provide a resource to the community to study various CRPC models. The molecular classification and corresponding master regulators reveal new drug targets and could potentially guide future therapeutic studies.

Citation Format: Fanying Tang, Chen Khuan Wong, Sandra Cohen, Cindy Lee, Minwei Liu, Rohan Bareja, Kenneth Eng, Shaham Beg, Loredana Puca, Cora Sternberg, Juan Miguel Mosquera, Himisha Beltran, Andrea Sboner, Yu Chen, Ekta Khurana. Chromatin accessibility landscape and transcriptome of castration resistant prostate cancers reveals novel subtypes and diverse master regulators [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 5310.

Oncogenic Addiction to ERBB2 Signaling Predicts Response to Trastuzumab in Urothelial Cancer

Urothelial carcinoma (UC) is a common and frequently lethal cancer. Despite the presence of genomic alterations creating dependency on particular signaling pathways, the use of targeted therapies in advanced and metastatic UC has been limited. We performed an integrated analysis of whole-exome and RNA sequencing of primary and metastatic tumors in a patient with platinum-resistant UC. We found a strikingly high ERBB2 mRNA expression and enrichment of downstream oncogenic ERBB2 signaling in this patient's tumors compared with tumors from an unselected group of patients with UC (N=17). This patient had an exceptional sustained response to trastuzumab. Our findings show that oncogenic addiction to ERBB2 signaling potentially predicts response to ERBB2-directed therapy of UC.

Small Cell Carcinoma of the Ovary, Hypercalcemic Type (SCCOHT) beyond SMARCA4 Mutations: A Comprehensive Genomic Analysis

Small cell carcinoma of the ovary, hypercalcemic type (SCCOHT) is an aggressive malignancy that occurs in young women, is characterized by recurrent loss-of-function mutations in the SMARCA4 gene, and for which effective treatments options are lacking. The aim of this study was to broaden the knowledge on this rare malignancy by reporting a comprehensive molecular analysis of an independent cohort of SCCOHT cases. We conducted Whole Exome Sequencing in six SCCOHT, and RNA-sequencing and array comparative genomic hybridization in eight SCCOHT. Additional immunohistochemical, Sanger sequencing and functional data are also provided. SCCOHTs showed remarkable genomic stability, with diploid profiles and low mutation load (mean, 5.43 mutations/Mb), including in the three chemotherapy-exposed tumors. All but one SCCOHT cases exhibited 19p13.2-3 copy-neutral LOH. SMARCA4 deleterious mutations were recurrent and accompanied by loss of expression of the SMARCA2 paralog. Variants in a few other genes located in 19p13.2-3 (e.g., PLK5) were detected. Putative therapeutic targets, including MAGEA4, AURKB and CLDN6, were found to be overexpressed in SCCOHT by RNA-seq as compared to benign ovarian tissue. Lastly, we provide additional evidence for sensitivity of SCCOHT to HDAC, DNMT and EZH2 inhibitors. Despite their aggressive clinical course, SCCOHT show remarkable inter-tumor homogeneity and display genomic stability, low mutation burden and few somatic copy number alterations. These findings and preliminary functional data support further exploration of epigenetic therapies in this lethal disease.

Fusions involving BCOR and CREBBP are rare events in infiltrating glioma

BCOR has been recognized as a recurrently altered gene in a subset of pediatric tumors of the central nervous system (CNS). Here, we describe a novel BCOR-CREBBP fusion event in a case of pediatric infiltrating astrocytoma and further probe the frequency of related fusion events in CNS tumors. We analyzed biopsy samples taken from a 15-year-old male with an aggressive, unresectable and multifocal infiltrating astrocytoma. We performed RNA sequencing (RNA-seq) and targeted DNA sequencing. In the index case, the fused BCOR-CREBBP transcript comprises exons 1-4 of BCOR and exon 31 of CREBBP. The fused gene thus retains the Bcl6 interaction domain of BCOR while eliminating the domain that has been shown to interact with the polycomb group protein PCGF1. The fusion event was validated by FISH and reverse transcriptase PCR. An additional set of 177 pediatric and adult primary CNS tumors were assessed via FISH for BCOR break apart events, all of which were negative. An additional 509 adult lower grade infiltrating gliomas from the publicly available TCGA dataset were screened for BCOR or CREBBP fusions. In this set, one case was found to harbor a CREBBP-GOLGA6L2 fusion and one case a CREBBP-SRRM2 fusion. In a third patient, both BCOR-L3MBTL2 and EP300-BCOR fusions were seen. Of particular interest to this study, EP300 is a paralog of CREBBP and the breakpoint seen involves a similar region of the gene to that of the index case; however, the resultant transcript is predicted to be completely distinct. While this gene fusion may play an oncogenic role through the loss of tumor suppressor functions of BCOR and CREBBP, further screening over larger cohorts and functional validation is needed to determine the degree to which this or similar fusions are recurrent and to elucidate their oncogenic potential.

Abstract IA33: Precision medicine at Weill Cornell Medicine/New York Presbyterian: Breaking silos, integrating resources, being inclusive

Genomic testing with next-generation sequencing (NGS) has become a pillar of precision medicine, whose aim is to identify the genomic alterations of a patient’s tumor and provide guidelines to clinicians for optimal treatment. Clinical testing is typically performed with targeted panels interrogating a limited set of genes, selected based on our best scientific knowledge on their diagnostic or prognostic role. Despite more recent efforts to be more inclusive, most genomic databases have a limited representation of non-European populations, resulting in a biased selection of those genes, and the potential exclusion of under-represented groups from the benefit of precision medicine. At the Englander Institute for Precision Medicine (EIPM), we developed a whole-exome sequencing (WES) clinical test, EXaCT-1, which interrogates about 21,000 protein coding genes for single-nucleotide variants, indels, and copy number. EXaCT-1 enables an unbiased view of the genomic landscape of a patient’s tumor and allows for the collection of data to investigate genomic diversity. We also tackled one of the major barriers of precision medicine: the infrastructure to execute clinical sequencing. From ordering a test, collecting and processing samples, to the analysis and review of the data and generation of reports, several systems, procedures, and expertise are involved, and their effective coordination is a key component for the timely delivery of results. We have built a framework supporting the entire process of clinical genomic testing: a Laboratory Information Management System (LIMS) helps the clinical lab to receive orders, acquire and process specimens, and seamlessly communicate with the sequencers and the computational pipelines. Molecular pathologists use NGSReporter, a secure web application, to review the data and sign-out reports. NGSReporter integrates the results of a test with our Precision Medicine Knowledge Base (PMKB – https://pmkb.weill.cornell.edu), which classifies variants based on their relevance to clinical management and provides standardized interpretations. Reports are sent to the electronic health record (EHR) as PDFs as well as discrete entities, enabling queries such as: “Which Hispanic patients with KRAS mutations are diabetic?” Sharing de-identified data is also a key aspect of precision medicine. To this end, we provide our investigators and collaborators with a protected cBioPortal instance that, in addition to publicly available datasets, includes internal data, thus enabling the exploration of hypotheses about the role of alterations across different cohorts and clinical features. Being in the center of New York City has the added benefit of an ethnically diverse patient population. Finding the “right treatment for the right person and at the right time” requires a concerted effort of multiple partners. The EIPM infrastructure facilitates these efforts, with the goal of making precision medicine accessible to everyone.

Citation Format: Andrea Sboner, Cora Sternberg, Juan Miguel Mosquera, Wei Song, Michael Kluk, Wayne Tam, Hanna Rennert, David Pisapia, Jeffrey Catalano, Gloria Cheang, David Wilkes, Danielle Bulaon, M. Laura Martin, Alexandros Sigaras, Kenneth Eng, Rohan Bareja, Rob Kim, Massimo Loda, Olivier Elemento. Precision medicine at Weill Cornell Medicine/New York Presbyterian: Breaking silos, integrating resources, being inclusive [abstract]. In: Proceedings of the Twelfth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2019 Sep 20-23; San Francisco, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(6 Suppl_2):Abstract nr IA33.

Subcellular partitioning of Kaiso (ZBTB33) as a biomarker to predict overall breast cancer survival

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Background: The epigenetic transcriptional regulator, Kaiso (ZBTB33) has been identified as a member of the C2H2 zinc finger proteins containing a BTB/POZ -zinc finger family of transcription factors that are implicated in development of cancer. Although, our understanding of clinical relevance of subcellular distribution (cytoplasmic/nuclear) Kaiso in the growth and survival of human Breast cancer (BC) is limited. Methods: We examined a cohort of 555 BC patients who underwent surgery for their primary BC in Greenville, NC using AI and SM approach. Results: The sub-classification BC shows, cytoplasmic Kaiso is differentially enriched in ER- BC (p=0.001) compared nuclear Kaiso (p=0.8) and is significantly enriched in the more aggressive classes LumB (p=0.0017), HER2+ (p=0.05) and TNBC (p=6.1e-07) with respect to LumA BC patients. Additionally, the survival analysis of different compartments of Kaiso demonstrates that high cytoplasmic Kaiso (HR = 16.29 (7.6 – 34.8), p = 5.5e−13) is much more predictive of poor survival compared to nuclear Kaiso (HR = 2.83 (2.02 – 3.8), p = 6.1e−11). At gene expression level, ZBTB33 mRNA levels do not correlate with either nuclear (Spearman correlation: -0.03157, p= 0.7267) or cytoplasmic levels (Spearman correlation: -0.03526, p= 0.6962) of Kaiso. Surprisingly, ZBTB33 mRNA abundance is predictive of poor overall BC survival as demonstrated in two independent publicly available BC cohorts Metabric (HR = 2.14 (1.49 − 3.08), p = 2.7e−05) and Gyorffy B et al. (HR = 1.81 (1.55 − 2.12), p = 2.5e−14). Nuclear and cytoplasmic levels of Kaiso do not show significant differences based on race p=0.27 and p=0.1 respectively. Conclusions: Our data suggest subcellular distribution of high Kaiso is associated with poor prognosis of BC survival and subcellular localizations of Kaiso may play differential biological roles in BC prognosis.

SLFN11 Expression in Advanced Prostate Cancer and Response to Platinum-based Chemotherapy

Expression of the DNA/RNA helicase schlafen family member 11 (SLFN11) has been identified as a sensitizer of tumor cells to DNA-damaging agents including platinum chemotherapy. We assessed the impact of SLFN11 expression on response to platinum chemotherapy and outcomes in patients with metastatic castration-resistant prostate cancer (CRPC). Tumor expression of SLFN11 was assessed in 41 patients with CRPC treated with platinum chemotherapy by RNA sequencing (RNA-seq) of metastatic biopsy tissue (n = 27) and/or immunofluorescence in circulating tumor cells (CTC; n = 20). Cox regression and Kaplan-Meier methods were used to evaluate the association of SLFN11 expression with radiographic progression-free survival (rPFS) and overall survival (OS). Multivariate analysis included tumor histology (i.e., adenocarcinoma or neuroendocrine) and the presence or absence of DNA repair aberrations. Patient-derived organoids with SLFN11 expression and after knockout by CRISPR-Cas9 were treated with platinum and assessed for changes in dose response. Patients were treated with platinum combination (N = 38) or platinum monotherapy (N = 3). Median lines of prior therapy for CRPC was two. Median OS was 8.7 months. Overexpression of SLFN11 in metastatic tumors by RNA-seq was associated with longer rPFS compared with those without overexpression (6.9 vs. 2.8 months, HR = 3.72; 95% confidence interval (CI), 1.56-8.87; P < 0.001); similar results were observed for patients with SLFN11-positive versus SLFN11-negative CTCs (rPFS 6.0 vs. 2.2 months, HR = 4.02; 95% CI, 0.77-20.86; P = 0.002). A prostate-specific antigen (PSA) decline of ≥50% was observed in all patients with SLFN11 overexpression. No association was observed between SLFN11 expression and OS. On multivariable analysis, SLFN11 was an independent factor associated with rPFS on platinum therapy. Platinum response of organoids expressing SLFN11 was reduced after SLFN11 knockout. Our data suggest that SLFN11 expression might identify patients with CRPC with a better response to platinum chemotherapy independent of histology or other genomic alterations. Additional studies, also in the context of PARP inhibitors, are warranted.

The novel lncRNA BlackMamba controls the neoplastic phenotype of ALK- anaplastic large cell lymphoma by regulating the DNA helicase HELLS

The molecular mechanisms leading to the transformation of anaplastic lymphoma kinase negative (ALK^-) anaplastic large cell lymphoma (ALCL) have been only in part elucidated. To identify new culprits which promote and drive ALCL, we performed a total transcriptome sequencing and discovered 1208 previously unknown intergenic long noncoding RNAs (lncRNAs), including 18 lncRNAs preferentially expressed in ALCL. We selected an unknown lncRNA, BlackMamba, with an ALK^- ALCL preferential expression, for molecular and functional studies. BlackMamba is a chromatin-associated lncRNA regulated by STAT3 via a canonical transcriptional signaling pathway. Knockdown experiments demonstrated that BlackMamba contributes to the pathogenesis of ALCL regulating cell growth and cell morphology. Mechanistically, BlackMamba interacts with the DNA helicase HELLS controlling its recruitment to the promoter regions of cell-architecture-related genes, fostering their expression. Collectively, these findings provide evidence of a previously unknown tumorigenic role of STAT3 via a lncRNA-DNA helicase axis and reveal an undiscovered role for lncRNA in the maintenance of the neoplastic phenotype of ALK^-ALCL.

Stable reduction of STARD4 alters cholesterol regulation and lipid homeostasis

STARD4, a member of the evolutionarily conserved START gene family, is a soluble sterol transport protein implicated in cholesterol sensing and maintenance of cellular homeostasis. STARD4 is widely expressed and has been shown to transfer sterol between liposomes as well as organelles in cells. However, STARD4 knockout mice lack an obvious phenotype, so the overall role of STARD4 is unclear. To model long term depletion of STARD4 in cells, we use short hairpin RNA technology to stably decrease STARD4 expression in human U2OS osteosarcoma cells (STARD4-KD). We show that STARD4-KD cells display increased total cholesterol, slower cholesterol trafficking between the plasma membrane and the endocytic recycling compartment, and increased plasma membrane fluidity. These effects can all be rescued by transient expression of a short hairpin RNA-resistant STARD4 construct. Some of the cholesterol increase was due to excess storage in late endosomes or lysosomes. To understand the effects of reduced STARD4, we carried out transcriptional and lipidomic profiling of control and STARD4-KD cells. Reduction of STARD4 activates compensatory mechanisms that alter membrane composition and lipid homeostasis. Based on these observations, we propose that STARD4 functions as a critical sterol transport protein involved in sterol sensing and maintaining lipid homeostasis.

Clinical features of neuroendocrine prostate cancer

BACKGROUND

Neuroendocrine prostate cancer (NEPC) is an aggressive variant of prostate cancer that may arise de novo or in patients previously treated with hormonal therapies for prostate adenocarcinoma as a mechanism of resistance. Despite being important to recognise, the clinical features of NEPC are poorly defined and could help guide when to perform a biopsy to look for NEPC histologic transformation.

METHODS

We reviewed baseline, treatment and outcome data of 87 patients with metastatic prostate cancer and tumour biopsy confirming NEPC histology. Forty-seven (54.0%) NEPC cases presented de novo, and 40 (46.0%) were therapy-related (t-NEPC). Thirty-six (41.4%) were classified as pure small-cell carcinoma, and 51 (58.6%) demonstrated mixed features with both small-cell carcinoma and adenocarcinoma present. Genomic data were available for 47 patients.

RESULTS

The median age at time of NEPC was 68.1 years, median prostate-specific antigen (PSA) was 1.20 ng/ml (0.14 ng/mL small-cell carcinoma, 1.55 ng/mL mixed carcinoma) and sites of metastases included bone (72.6%), lymph node (47.0%), and viscera (65.5%). Median time from adenocarcinoma to t-NEPC diagnosis was 39.7 months (range, 24.5-93.8) with a median of two lines of prior systemic therapy. Platinum chemotherapy was used to treat 57.5% of patients, with a median progression-free survival of 3.9 months. Small-cell carcinoma was associated with worse overall survival (OS) than mixed histology (8.9 months from NEPC diagnosis versus 26.1 months, P < 0.001). Median OS of de novo NEPC was shorter than that of t-NEPC (16.8 months from prostate cancer diagnosis versus 53.5 months, P = 0.043). An average PSA rise per month of ≤0.7 ng/ml before t-NEPC; elevated lactate dehydrogenase levels, RB1 and TP53 loss and liver metastases were poor prognostic features.

CONCLUSIONS

We describe the clinical features of a cohort of patients with NEPC. These characteristics may inform future diagnostic strategies.

Integrative Molecular Analysis of Patients With Advanced and Metastatic Cancer

PURPOSE

We developed a precision medicine program for patients with advanced cancer using integrative whole-exome sequencing and transcriptome analysis.

PATIENTS AND METHODS

Five hundred fifteen patients with locally advanced/metastatic solid tumors were prospectively enrolled, and paired tumor/normal sequencing was performed. Seven hundred fifty-nine tumors from 515 patients were evaluated.

RESULTS

Most frequent tumor types were prostate (19.4%), brain (16.5%), bladder (15.4%), and kidney cancer (9.2%). Most frequently altered genes were TP53 (33%), CDKN2A (11%), APC (10%), KTM2D (8%), PTEN (8%), and BRCA2 (8%). Pathogenic germline alterations were present in 10.7% of patients, most frequently CHEK2 (1.9%), BRCA1 (1.5%), BRCA2 (1.5%), and MSH6 (1.4%). Novel gene fusions were identified, including a RBM47-CDK12 fusion in a metastatic prostate cancer sample. The rate of clinically relevant alterations was 39% by whole-exome sequencing, which was improved by 16% by adding RNA sequencing. In patients with more than one sequenced tumor sample (n = 146), 84.62% of actionable mutations were concordant.

CONCLUSION

Integrative analysis may uncover informative alterations for an advanced pan-cancer patient population. These alterations are consistent in spatially and temporally heterogeneous samples.