Cell density, the ratio of cell mass to volume, is an indicator of molecular crowding and therefore a fundamental determinant of cell state and function. However, existing density measurements lack the precision or throughput to quantify subtle differences in cell states, particularly in primary samples. Here we present an approach for measuring the density of 30,000 single cells per hour with a precision of 0.03% (0.0003 g/mL) by integrating fluorescence exclusion microscopy with a suspended microchannel resonator. Applying this approach to human lymphocytes, we discovered that cell density and its variation decrease as cells transition from quiescence to a proliferative state, suggesting that the level of molecular crowding decreases and becomes more regulated upon entry into the cell cycle. Using a pancreatic cancer patient-derived xenograft model, we found that theex vivodensity response of primary tumor cells to drug treatment can predictin vivotumor growth response. Our method reveals unexpected behavior in molecular crowding during cell state transitions and suggests density as a new biomarker for functional precision medicine.

Epithelial-to-mesenchymal transition (EMT) is associated with tumor initiation, metastasis, and drug resistance. However, the mechanisms underlying these associations are largely unknown. We studied several tumor types to identify the source of EMT gene expression signals and a potential mechanism of resistance to immuno-oncology treatment. Across tumor types, EMT-related gene expression was strongly associated with expression of stroma-related genes. Based on RNA sequencing of multiple patient-derived xenograft models, EMT-related gene expression was enriched in the stroma versus parenchyma. EMT-related markers were predominantly expressed by cancer-associated fibroblasts (CAFs), cells of mesenchymal origin which produce a variety of matrix proteins and growth factors. Scores derived from a 3-gene CAF transcriptional signature ( COL1A1 , COL1A2 , COL3A1 ) were sufficient to reproduce association between EMT-related markers and disease prognosis. Our results suggest that CAFs are the primary source of EMT signaling and have potential roles as biomarkers and targets for immuno-oncology therapies.

Glioblastoma (GBM) is a primary brain cancer with an abysmal prognosis and few effective therapies. The ability to investigate the tumor microenvironment before and during treatment would greatly enhance both understanding of disease response and progression, as well as the delivery and impact of therapeutics. Stereotactic biopsies are a routine surgical procedure performed primarily for diagnostic histopathologic purposes. The role of investigative biopsies - tissue sampling for the purpose of understanding tumor microenvironmental responses to treatment using integrated multi-modal molecular analyses ('Multi-omics") has yet to be defined. Secondly, it is unknown whether comparatively small tissue samples from brain biopsies can yield sufficient information with such methods. Here we adapt stereotactic needle core biopsy tissue in two separate patients. In the first patient with recurrent GBM we performed highly resolved multi-omics analysis methods including single cell RNA sequencing, spatial-transcriptomics, metabolomics, proteomics, phosphoproteomics, T-cell clonotype analysis, and MHC Class I immunopeptidomics from biopsy tissue that was obtained from a single procedure. In a second patient we analyzed multi-regional core biopsies to decipher spatial and genomic variance. We also investigated the utility of stereotactic biopsies as a method for generating patient derived xenograft models in a separate patient cohort. Dataset integration across modalities showed good correspondence between spatial modalities, highlighted immune cell associated metabolic pathways and revealed poor correlation between RNA expression and the tumor MHC Class I immunopeptidome. In conclusion, stereotactic needle biopsy cores are of sufficient quality to generate multi-omics data, provide data rich insight into a patient's disease process and tumor immune microenvironment and can be of value in evaluating treatment responses. One sentence summary:Integrative multi-omics analysis of stereotactic needle core biopsies in glioblastoma.

Malignant pleural mesothelioma (MPM) has relatively ineffective first/second-line therapy for advanced disease and only 18% five-year survival for early disease. Drug-induced mitochondrial priming measured by dynamic BH3 profiling identifies efficacious drugs in multiple disease settings. We use high throughput dynamic BH3 profiling (HTDBP) to identify drug combinations that prime primary MPM cells derived from patient tumors, which also prime patient derived xenograft (PDX) models. A navitoclax (BCL-xL/BCL-2/BCL-w antagonist) and AZD8055 (mTORC1/2 inhibitor) combination demonstrates efficacy in vivo in an MPM PDX model, validating HTDBP as an approach to identify efficacious drug combinations. Mechanistic investigation reveals AZD8055 treatment decreases MCL-1 protein levels, increases BIM protein levels, and increases MPM mitochondrial dependence on BCL-xL, which is exploited by navitoclax. Navitoclax treatment increases dependency on MCL-1 and increases BIM protein levels. These findings demonstrate that HTDBP can be used as a functional precision medicine tool to rationally construct combination drug regimens in MPM and other cancers.

Abstract Pediatric low-grade gliomas (pLGGs) have excellent survival, however, with current standard of care, most patients suffer lifelong severe sequalae. pLGGs are almost exclusively driven by single activating mutations in the MAPK pathway. Clinical trials with small molecule inhibitors in BRAF-altered pLGGs are showing promising results in early clinical trials, and similar efforts are now underway for FGFR1-altered tumors, however the underlying biology and treatment response has not been thoroughly explored in a pre-clinical setting. To explore the genetic landscape of FGFR altered gliomas we assembled a cohort of 87 patients with FGFR1-4 altered gliomas across Dana-Farber Cancer Institute, Boston Children’s Hospital and Brigham and Women’s Hospital. Within this cohort we observed that pLGGs harboring FGFR1 kinase hotspot mutations (FGFR1-N546K or -K656E) frequently harbored a second alteration associated with activation of the MAPK or mTOR pathways, most commonly in the phosphatase PTPN11, NF1 or within the FGFR1 gene itself. Additionally, we observed two previously described structural variants of FGFR1, an FGFR1 internal kinase tandem duplication (FGFR-ITD) and a fusion with TACC1 (FGFR1:TACC1). The relative impact of the different FGFR1 alterations on oncogenicity, therapeutic response and resistance has not been previously explored. To address this, we have established mouse neural stem cell models overexpressing the structural variants and hot spot mutant FGFR1 alone or in combination with a second alteration. Immunoblotting revealed that the addition of a second alteration attenuated phosphorylation of ERK, AKT and S6 and influenced cell proliferation both in normal growth conditions and in absence of growth factor. Treatment with inhibitors of FGFR (Infigratinib) and MEK (Trametinib) revealed variable sensitivity both targeted therapies, suggesting that treatment of FGFR1 driven pLGG might require tailoring to the specific FGFR1 alteration.

Currently, malignant pleural mesothelioma (MPM) is mainly treated with conventional therapies such as surgery, chemotherapy and radiation, and patients often suffer from the lack of second line therapy options. In this study, we aimed to identify efficacious drug combinations in primary MPM patient samples and novel MPM patient-derived xenograft (PDX) models to provide better therapeutic options for MPM patients. BH3 profiling is a functional assay that measures mitochondrial priming of the cell. It uses BH3 peptides derived from the BH3 domain of pro-apoptotic BH3-only Bcl-2 family members to provoke a response from viable mitochondria. When tumor cells are treated with drugs prior to BH3 profiling, early changes in their apoptosis signaling can be captured before frank apoptosis occurs. This method is termed dynamic BH3 profiling (DBP), which has been applied in multiple cancer types to identify efficacious drugs. Here, we used high throughput dynamic BH3 profiling (HTDBP) to assess hundreds of drug treatments simultaneously to identify drug combinations that increased apoptotic priming in primary MPM cells ex vivo. Next, we created novel MPM PDX models and tested these drug combinations to determine the ones that primed MPM PDX cells. The HTDBP result from MPM PDX cells recapitulated the chemical vulnerabilities of the primary MPM cells. Moreover, one of the top combination candidates that comprised of navitoclax (BCL-xL, BCL-2 and BCL-w antagonist) and AZD8055 (mTORC1/2 inhibitor) was shown to be safe and efficacious in vivo in our CPDM_011x MPM PDX model. Finally, on the molecular level, we revealed that treatment with navitoclax drove the anti-apoptotic dependence of MPM cell lines towards MCL-1, whose level was downregulated by AZD8055 treatment. In this study, we identified a novel drug combination for MPM with HTDBP that consists of navitoclax and AZD8055. In addition, our results further corroborated that DBP, as a functional assay, can be used to rationally construct novel drug combinations to improve treatment outcomes for cancer patients. Citation Format: Danielle S. Potter, Ruochen Du, Kin-Hoe Chow, Keith L. Ligon, Raphael Bueno, Anthony Letai. Dynamic BH3 profiling identifies novel combinations in malignant pleural mesothelioma with in vivo efficacy [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3691.

Uterine carcinoma (UC) is the most common gynecologic malignancy in the United States. TP53 mutant UCs cause a disproportionate number of deaths due to limited therapies for these tumors and the lack of mechanistic understanding of their fundamental vulnerabilities. Here we sought to understand the functional and therapeutic relevance of TP53 mutations in UC. We functionally profiled targetable TP53 dependent DNA damage repair and cell cycle control pathways in a panel of TP53 mutant UC cell lines and patient-derived organoids. There were no consistent defects in DNA damage repair pathways. Rather, most models demonstrated dependence on defective G2/M cell cycle checkpoints and subsequent upregulation of Aurora kinase-LKB1-p53-AKT signaling in the setting of baseline mitotic defects. This combination makes them sensitive to Aurora kinase inhibition. Resistant lines demonstrated an intact G2/M checkpoint, and combining Aurora kinase and WEE1 inhibitors, which then push these cells through mitosis with Aurora kinase inhibitor-induced spindle defects, led to apoptosis in these cases. Overall, this work presents Aurora kinase inhibitors alone or in combination with WEE1 inhibitors as relevant mechanism driven therapies for TP53 mutant UCs. Context specific functional assessment of the G2/M checkpoint may serve as a biomarker in identifying Aurora kinase inhibitor sensitive tumors.

Abstract Outcomes for patients with triple negative breast cancer (TNBC) remain poor despite significant advances in the treatment of other breast cancer subtypes. We report an epigenetic mechanism leading to the adaptive resistance of TNBC to fibroblast growth factor receptor (FGFR) inhibitors. Prolonged FGFR inhibition suppresses the function of BRG1-dependent chromatin remodeling leading to an epigenetic state that derepresses YAP-associated enhancers. These chromatin changes induce the expression of several amino acid transporters resulting in increased intracellular levels of specific amino acids that reactivate mTORC1. Consistent with this mechanism, addition of mTORC1 or YAP inhibitors to FGFR blockade synergistically attenuated the growth of TNBC patient-derived xenografts (PDX) models. Treatment-induced YAP/TEAD accessible chromatin was observed in a subpopulation of PDX cells by single cell analysis of accessible chromatin. Thus, combinatorial therapies based on the YAP and mTORC1 dependent feedback loop have the potential to improve the efficacy of FGFR inhibitors in TNBC. Citation Format: Yihao Li, Xintao Qiu, Hui Liu, Xiaoqing Wang, Renee C. Geck, Alok Tewari, Kin-Hoe Chow, Paloma Cejas, Quang-Dé Nguyen, Henry Long, Shirley X. Liu, Alex Toker, Myles Brown. SWI/SNF chromatin remodeling complex regulation of YAP-dependent enhancers drives therapeutic resistance in triple-negative breast 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 1400.

How cancer cells adapt to evade the therapeutic effects of drugs targeting oncogenic drivers is poorly understood. Here we report an epigenetic mechanism leading to the adaptive resistance of triple-negative breast cancer (TNBC) to fibroblast growth factor receptor (FGFR) inhibitors. Prolonged FGFR inhibition suppresses the function of BRG1-dependent chromatin remodelling, leading to an epigenetic state that derepresses YAP-associated enhancers. These chromatin changes induce the expression of several amino acid transporters, resulting in increased intracellular levels of specific amino acids that reactivate mTORC1. Consistent with this mechanism, addition of mTORC1 or YAP inhibitors to FGFR blockade synergistically attenuated the growth of TNBC patient-derived xenograft models. Collectively, these findings reveal a feedback loop involving an epigenetic state transition and metabolic reprogramming that leads to adaptive therapeutic resistance and provides potential therapeutic strategies to overcome this mechanism of resistance.

Lymphomas of the central nervous system (CNSL) are rare tumors with few treatment options; however, recent genomic studies have uncovered several druggable targets. To facilitate novel treatment discovery, we sought to establish patient-derived xenograft (PDX) models and cell lines from patients with newly diagnosed or recurrent CNSL. PDX models were attempted from fresh tumor samples from 18 consented patients for whom rich clinical annotation was available. Orthotopic intracranial injections were performed via stereotactic injection. Cell line generation was attempted from both primary tumors (PDCL) and PDX samples (PDXCL). Characterization included histopathology, targeted exome sequencing, low-pass whole-genome sequencing for copy number evaluation, and expression profiling of matched patient tumors and PDXs. Drug response testing was performed using CellTiterGlo. From 18 samples attempted, 8 PDX models were successfully generated: 2 primary CNS diffuse large B-cell lymphoma (DLBCL), 5 secondary CNS DLBCL, and 1 secondary cutaneous T-cell lymphoma (CTCL). Mean time to moribund was 66 days. All 8 PDXs grew successfully as orthotopic models, and 4 also grew in subrenal capsule. Additionally, 6 PDCL and 2 PDXCL were established (> P3). Models faithfully represented primaries, showing nearly identical histopathology, immunoprofiles, and genomic signatures. To support expanded and rapid preclinical use of these models in drug testing we documented that PDX could be explanted to create short-term cell preparations or long-term cell lines with a 100% and 40% success rate, respectively. Proof of principle testing showed that explanted DLBCL PDX cells and cell lines showed sensitivity to copanlisib and venetoclax, which were not efficacious in the CTCL PDX. These findings showcase a diverse collection of CNSL models demonstrating high fidelity to primary tumors at the genomic and phenotypic levels, emphasizing their utility for preclinical studies and as patient avatars to rapidly determine sensitivities to existing and novel regimens prior to initiation of therapy.

Abstract Brain metastases (BM) are a leading cause of cancer death and prognosis remains poor despite treatment advances at other sites. Models are central to therapeutic development, but few orthotopic patient-derived xenograft (PDX) models of BM exist. To represent diversity across BM types, we established a program to create orthotopic PDX at scale from all BM patients. To date BM were received from 100 patients and PDX attempted by direct brain injection (PDX, n=89) or injection of low passage patient-derived cell lines (PDCLX, n=11). We created 65 successful BM PDX from 13 cancers: 17 lung (55% take), 15 breast (68%), 6 melanoma (75%), 5 CNS lymphoma (83%), 3 gastrointestinal (75%), 2 esophageal (40%), 2 ovarian (67%), 1 sarcoma (100%), 1 laryngeal (100%), 1 prostate (100%), 1 pancreatic (100%), 1 uterine adenosarcoma (100%), and 1 yolk sac tumor (100%). Take rate was similar for models derived from patients with prior chemotherapy-only versus immune/targeted therapy-only (63 vs 58%). Fifteen patients had live tumor and matching PBMCs archived for modeling in vitro immunotherapy responses. Mean time to moribund among different cancer types ranged from 27 days (yolk sac tumor) to 177.5 days (ovarian). BM PDX had a favorable timeline for preclinical study (90% moribund at 180 days). All PDX matched the patient driver SNVs and copy aberrations, even at >P4. No significant differences noted by immunodeficient strain (SCID versus NSG) or injection site (orthotopic versus heterotopic). Explants from BM PDX were able to generate long-term cell lines (60%) or short-term cultures with qualitative concordance of model-to-patient responses to targeted therapy (Osimertinib, EGFRi) and immunotherapy (Pembrolizumab, PD1i). Genomic and clinical data were used to create the DFCI BM PDX cBioPortal for public release and models distribution will be available through the DFCI Center for Patient Derived Models.

Three-dimensional patient derived cultures hold great potential for use as personalized functional diagnostics, enabling more accurate preclinical evaluations of drug treatments compared to conventional cell lines. Optical imaging of live cells allows for continuous, time lapsed measurements, and can provide drug response data based on rich phenotypic changes of cell cultures. However, current imaging techniques based on 2D microscopy evaluation aren’t readily adaptable to evaluate the drug response of intact spheroids, which may better represent the in vivo environment and retain critical cellular interactions within the tumor microenvironment. Using the IncuCyte live cell imaging platform, we successfully imaged a large cohort (n = 77) of patient derived glioblastoma spheroid cultures and evaluated whether changes in sphere volume could be used as a direct measure of treatment response. Improving on the default Incucyte analysis software, we developed an R data processing pipeline better suited for spheroid measurements, which quantified the heterogeneity in GBM baseline spheroid growth, and calculated a drug response score based on spheroid changes in response to DNA damaging agents (TMZ as an example). Compared to conventional viability measurements, this novel 3D drug response score was found to accurately identify both drug sensitive and resistant spheroids and showed robust concordance with genomic biomarkers of response (NGS and MGMT promoter methylation) and patient outcomes. Additionally, we coupled the 3D drug score with known genetic data to explore other key pathways and genes involved in TMZ response. We provide here novel analysis methods and public code (Github) to advance the use of IncuCyte spheroid measurements, and deconvolute 3D spheroid drug response into a quantifiable statistic. These methods are adaptable to freshly isolated patient cells for rapid evaluation of treatment response in GBM patients while remaining widely applicable to other cancers such as pancreatic, colon, and non-cancer organoids/spheroids with 3D growth.

A high tumour mutational burden (hypermutation) is observed in some gliomas1-5; however, the mechanisms by which hypermutation develops and whether it predicts the response to immunotherapy are poorly understood. Here we comprehensively analyse the molecular determinants of mutational burden and signatures in 10,294 gliomas. We delineate two main pathways to hypermutation: a de novo pathway associated with constitutional defects in DNA polymerase and mismatch repair (MMR) genes, and a more common post-treatment pathway, associated with acquired resistance driven by MMR defects in chemotherapy-sensitive gliomas that recur after treatment with the chemotherapy drug temozolomide. Experimentally, the mutational signature of post-treatment hypermutated gliomas was recapitulated by temozolomide-induced damage in cells with MMR deficiency. MMR-deficient gliomas were characterized by a lack of prominent T cell infiltrates, extensive intratumoral heterogeneity, poor patient survival and a low rate of response to PD-1 blockade. Moreover, although bulk analyses did not detect microsatellite instability in MMR-deficient gliomas, single-cell whole-genome sequencing analysis of post-treatment hypermutated glioma cells identified microsatellite mutations. These results show that chemotherapy can drive the acquisition of hypermutated populations without promoting a response to PD-1 blockade and supports the diagnostic use of mutational burden and signatures in cancer.

Tumors involving the central nervous system (CNS) include over 200 primary and metastatic subtypes with major clinical impact. Research on CNS neoplasms has been hampered by the lack of appropriate models for many subtypes. We established a robust workflow and systematic culturing approach to create cancer cell line models from all adult and pediatric CNS cancer patients and here report the results of these ongoing efforts. Tumor samples from consented patients with CNS cancers were systematically collected from 2008–18. Tumors were grown in different media and substrates and growth verified by >5 passages. Genomic verification was performed using NGS analysis (focused SNV and CNA) and expression profiling assays. We attempted to generate cell line models from >1500 consented brain tumor patients at the Brigham and Women’s and Boston Children’s Hospital (IRB-10–417) under the DFCI Living Tissue Bank Program as well as within the Broad Institute Cancer Cell Line Factory (CCLF) Project and the Leuven Living Tissue Bank (IRB-S59804, Belgium). 120 different tumor types, including high and low-grade brain tumors of both adult and pediatric origin, were evaluated for in vitro growth in >2000 culturing attempts. The success rate of growing high-grade tumors (i.e. glioma and of other origin) was robustly high (~50%), while the growth verification rate for low-grade tumors remained low (<1%). Overall, growth beyond passage 5 was achieved in ~30% of cases, and of the growth verified models, also ~30% were genomically verified to represent cancer, with the majority maintaining genomic and/or transcriptional features. In addition to primary CNS tumors, we were now also able to grow metastatic cultures, resulting in >150 novel model systems covering >20 primary and metastatic diagnoses. Patient-derived cell lines may be created at scale from primary and metastatic CNS tumors to support pre-clinical cancer research but technological improvements will be required to culture even more tumor types.