A Lipopeptidomimetic of Transcriptional Activation Domains Selectively Disrupts the Coactivator Med25 Protein-Protein Interactions

Short amphipathic peptides are capable of binding to transcriptional coactivators, often targeting the same binding surfaces as native transcriptional activation domains. However, they do so with modest affinity and generally poor selectivity, limiting their utility as synthetic modulators. Here we show that incorporation of a medium-chain, branched fatty acid to the N-terminus of one such heptameric lipopeptidomimetic (LPPM-8) increases the affinity for the coactivator Med25 >20-fold (Ki >100 μM to 4 μM), rendering it an effective inhibitor of Med25 protein-protein interactions (PPIs). The lipid structure, the peptide sequence, and the C-terminal functionalization of the lipopeptidomimetic each influence the structural propensity of LPPM-8 and its effectiveness as an inhibitor. LPPM-8 engages Med25 through interaction with the H2 face of its activator interaction domain and in doing so stabilizes full-length protein in the cellular proteome. Further, genes regulated by Med25-activator PPIs are inhibited in a cell model of triple-negative breast cancer. Thus, LPPM-8 is a useful tool for studying Med25 and mediator complex biology and the results indicate that lipopeptidomimetics may be a robust source of inhibitors for activator-coactivator complexes.

Upgrade Rates and Breast Cancer Development Among Germline Pathogenic Variant Carriers with High-Risk Breast Lesions

BACKGROUND

High-risk lesions (HRL) of the breast are risk factors for future breast cancer development and may be associated with a concurrent underlying malignancy when identified on needle biopsy; however, there are few data evaluating HRLs in carriers of germline pathogenic variants (PVs) in breast cancer predisposition genes.

METHODS

We identified patients from two institutions with germline PVs in high- and moderate-penetrance breast cancer predisposition genes and an HRL in an intact breast, including atypical ductal hyperplasia (ADH), flat epithelial atypia (FEA), and lobular neoplasia (LN). We calculated upgrade rates at surgical excision and used Kaplan-Meier methods to characterize 3-year breast cancer risk in patients without upgrade.

RESULTS

Of 117 lesions in 105 patients, 65 (55.6%) were ADH, 48 (41.0%) were LN, and 4 (3.4%) were FEA. Most PVs (83.8%) were in the BRCA1/2, CHEK2 and ATM genes. ADH and FEA were excised in most cases (87.1%), with upgrade rates of 11.8% (95% confidence interval [CI] 5.5-23.4%) and 0%, respectively. LN was selectively excised (53.8%); upgrade rate in the excision group was 4.8% (95% CI 0.8-22.7%), and with 20 months of median follow-up, no same-site cancers developed in the observation group. Among those not upgraded, the 3-year risk of breast cancer development was 13.1% (95% CI 6.3-26.3%), mostly estrogen receptor-positive (ER +) disease (89.5%).

CONCLUSIONS

Upgrade rates for HRLs in patients with PVs in breast cancer predisposition genes appear similar to non-carriers. HRLs may be associated with increased short-term ER+ breast cancer risk in PV carriers, warranting strong consideration of surgical or chemoprevention therapies in this population.

Selective and Potent PROTAC Degraders of c-Src Kinase

Using dasatinib linked to E3 ligase ligands, we identified a potent and selective dual Csk/c-Src PROTAC degrader. We then replaced dasatinib, the c-Src-directed ligand, with a conformation-selective analogue that stabilizes the αC-helix-out conformation of c-Src. Using the αC-helix-out ligand, we identified a PROTAC that is potent and selective for c-Src. We demonstrated a high degree of catalysis with our c-Src PROTACs. Using our c-Src PROTACs, we identified pharmacological advantages of c-Src degradation compared to inhibition with respect to cancer cell proliferation.

Inhibition of CREB Binding and Function with a Dual-Targeting Ligand

CBP/p300 is a master transcriptional coactivator that regulates gene activation by interacting with multiple transcriptional activators. Dysregulation of protein-protein interactions (PPIs) between the CBP/p300 KIX domain and its activators is implicated in a number of cancers, including breast, leukemia, and colorectal cancer. However, KIX is typically considered "undruggable" because of its shallow binding surfaces lacking both significant topology and promiscuous binding profiles. We previously reported a dual-targeting peptide (MybLL-tide) that inhibits the KIX-Myb interaction with excellent specificity and potency. Here, we demonstrate a branched, second-generation analogue, CREBLL-tide, that inhibits the KIX-CREB PPI with higher potency and selectivity. Additionally, the best of these CREBLL-tide analogues shows excellent and selective antiproliferation activity in breast cancer cells. These results indicate that CREBLL-tide is an effective tool for assessing the role of KIX-activator interactions in breast cancer and expanding the dual-targeting strategy for inhibiting KIX and other coactivators that contain multiple binding surfaces.

NCCN Guidelines® Insights: Genetic/Familial High-Risk Assessment: Breast, Ovarian, and Pancreatic, Version 2.2024

The NCCN Guidelines for Genetic/Familial High-Risk Assessment: Breast, Ovarian, and Pancreatic focus primarily on assessment of pathogenic/likely pathogenic (P/LP) variants associated with increased risk of breast, ovarian, pancreatic, and prostate cancer, including BRCA1, BRCA2, CDH1, PALB2, PTEN, and TP53, and recommended approaches to genetic counseling/testing and care strategies in individuals with these P/LP variants. These NCCN Guidelines Insights summarize important updates regarding: (1) a new section for transgender, nonbinary and gender diverse people who have a hereditary predisposition to cancer focused on risk reduction strategies for ovarian cancer, uterine cancer, prostate cancer, and breast cancer; and (2) testing criteria and management associated with TP53 P/LP variants and Li-Fraumeni syndrome.

Optimizing Precision Medicine for Breast Cancer Brain Metastases with Functional Drug Response Assessment

The development of novel therapies for brain metastases is an unmet need. Brain metastases may have unique molecular features that could be explored as therapeutic targets. A better understanding of the drug sensitivity of live cells coupled to molecular analyses will lead to a rational prioritization of therapeutic candidates. We evaluated the molecular profiles of 12 breast cancer brain metastases (BCBM) and matched primary breast tumors to identify potential therapeutic targets. We established six novel patient-derived xenograft (PDX) from BCBM from patients undergoing clinically indicated surgical resection of BCBM and used the PDXs as a drug screening platform to interrogate potential molecular targets. Many of the alterations were conserved in brain metastases compared with the matched primary. We observed differential expressions in the immune-related and metabolism pathways. The PDXs from BCBM captured the potentially targetable molecular alterations in the source brain metastases tumor. The alterations in the PI3K pathway were the most predictive for drug efficacy in the PDXs. The PDXs were also treated with a panel of over 350 drugs and demonstrated high sensitivity to histone deacetylase and proteasome inhibitors. Our study revealed significant differences between the paired BCBM and primary breast tumors with the pathways involved in metabolisms and immune functions. While molecular targeted drug therapy based on genomic profiling of tumors is currently evaluated in clinical trials for patients with brain metastases, a functional precision medicine strategy may complement such an approach by expanding potential therapeutic options, even for BCBM without known targetable molecular alterations.

Significance

Examining genomic alterations and differentially expressed pathways in brain metastases may inform future therapeutic strategies. This study supports genomically-guided therapy for BCBM and further investigation into incorporating real-time functional evaluation will increase confidence in efficacy estimations during drug development and predictive biomarker assessment for BCBM.

Abstract 6037: Identification of collateral lethal targets in cancers using integrated machine learning and flux analysis platform for personalized metabolic therapy

Chromosomal alterations that occur frequently in cancers confer selective advantages for tumor progression by deleting tumor-suppressing genes or amplifying oncogenic drivers. However, the collateral effect of these, i.e., deletion of essential genes or upregulation of metabolic regulators, exposes cancers to biological pressures by suppressing essential metabolic pathways. Cancer cells rely on paralogous metabolic pathways to compensate for this loss of function, which in turn opens the door to exploit metabolic vulnerabilities arising as a direct consequence of chromosomal alterations. These pathways are collateral lethal (CL) targets and offer a unique precision medicine approach for metabolic therapeutics. We have developed an integrated machine learning and systems biology platform, collateral lethal gene identification via metabolic fluxes (CLIM) to identify metabolic targets across multiple cancers. Results: In ovarian cancers with 19p13.3 deletion, a loss of Complex III subunit-encoding gene UQCR11 occurs, leading to suppressed electron transport chain (ETC) activity. CLIM predicted that MTHFD2 acts noncanonically to oxidize NADH to NAD+ to compensate for reduced NAD+ recycling via the ETC. We demonstrate selective death of ETC deficient ovarian cancers by targeting MTHFD2 and provide mechanistic validation of oxidative MTHFD2 flux. We observed significant shrinkage of ovarian tumors with ETC deficiency upon MTHFD2 knockdown in mouse models. In triple negative breast cancers (TNBC), we discovered a chromosomal amplification leading to reprogramming of the serine biosynthesis pathway. CLIM predicts a target in the tryptophan metabolism. Methods: Patients are stratified using machine learning to identify tumors with distinct chromosomal alterations. Multiobjective metabolic flux analysis is employed to predict CL pathways in curated genome-scale metabolic models. Validation of metabolic rewiring predicted by CLIM were examined using 3-2H-glucose, 4-2H-glucose and 2,3,3-2H-serine to probe the one carbon metabolism. Oxidative MTHFD2 flux was quantified using innovative combinatorial tracer study with 2H-formate and 4-2H-glucose. We utilized gain- and loss-of-function assays in multiple cell-lines to show utility of the predicted CL targets in TNBCs with chromosomal amplifications. Conclusion: Our integrated platform successfully identifies CL gene pairs to decipher novel metabolic targets specific to chromosomal alterations across many cancer types. Importantly, targets identified by CLIM are based on quantitative flux analysis. This approach reveals functional connection between CL pairs, thereby providing a mechanistic understanding of emerging lethality. This is critical in developing therapeutic interventions that selectively target cancer cells, with minimal off-target or side effects.

Citation Format: Abhinav Achreja, Jin Heon Jeon, Mark Slayton, Tao Yu, Olamide Animasahun, Minal Nenwani, Fulei Wuchu, Anjali Mittal, Xiongbin Lu, Sofia D. Merajver, Deepak Nagrath. Identification of collateral lethal targets in cancers using integrated machine learning and flux analysis platform for personalized metabolic therapy. [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 6037.

Blood-brain barrier remodeling in an organ-on-a-chip device shows Dkk1 to be a regulator of early metastasis

Brain metastases are the most lethal progression event, in part because the biological processes underpinning brain metastases are poorly understood. There is a paucity of realistic models of metastasis, as current in vivo murine models are slow to manifest metastasis. We set out to delineate metabolic and secretory modulators of brain metastases by utilizing two models consisting of in vitro microfluidic devices: 1) a blood brain niche (BBN) chip that recapitulates the blood-brain-barrier and niche; and 2) a migration chip that assesses cell migration. We report secretory cues provided by the brain niche that attract metastatic cancer cells to colonize the brain niche region. Astrocytic Dkk-1 is increased in response to brain-seeking breast cancer cells and stimulates cancer cell migration. Brain-metastatic cancer cells under Dkk-1 stimulation increase gene expression of FGF-13 and PLCB1. Further, extracellular Dkk-1 modulates cancer cell migration upon entering the brain niche.

A lipopeptidomimetic of transcriptional activation domains selectively disrupts Med25 PPIs

Short amphipathic peptides are capable of binding to transcriptional coactivators, often targeting the same binding surfaces as native transcriptional activation domains. However, they do so with modest affinity and generally poor selectivity, limiting their utility as synthetic modulators. Here we show that incorporation of a medium-chain, branched fatty acid to the N-terminus of one such heptameric lipopeptidomimetic (34913-8) increases the affinity for the coactivator Med25 >10-fold ( Ki >>100 μM to 10 μM). Importantly, the selectivity of 34913-8 for Med25 compared to other coactivators is excellent. 34913-8 engages Med25 through interaction with the H2 face of its Ac tivator I nteraction D omain and in doing so stabilizes full-length protein in the cellular proteome. Further, genes regulated by Med25-activator PPIs are inhibited in a cell model of triple-negative breast cancer. Thus, 34913-8 is a useful tool for studying Med25 and the Mediator complex biology and the results indicate that lipopeptidomimetics may be a robust source of inhibitors for activator-coactivator complexes.

Satisfaction With Clinician-Led Germline Genetic Counseling in Patients With Prostate Cancer

PURPOSE

Indications for germline testing in prostate cancer patients have expanded substantially over the past decade. With a near-universal shortage of genetic counselors and increasing demand, increased access to genetic counseling is crucial. We sought to prospectively implement and assess a clinician-led approach to genetic counseling and testing.

MATERIALS AND METHODS

Patients with metastatic or localized prostate cancer meeting National Comprehensive Cancer Network® criteria for consideration of genetic testing were offered pre-test genetic counseling by their urologist or medical oncologist as part of their routine clinical care and concurrently approached for enrollment in the Germline Genetics in Prostate Cancer Study. Consented patients filled out a post-counseling survey using validated instruments to assess the quality of counseling. For patients who elected to undergo genetic testing, an additional validated questionnaire was completed following disclosure of results. The primary outcome was the proportion of patients undergoing testing, with a target >60% of patients. The secondary outcome was overall satisfaction with counseling, with a target >85% of patients.

RESULTS

A total of 275 patients enrolled, and 203 patients elected to undergo genetic testing. Post-counseling surveys were obtained from 265 patients, and post-genetic testing surveys were obtained from 132 patients. Patient satisfaction was high, with 98% of patients reporting being satisfied with the overall quality of pre-test counseling, and 74% of patients elected to undergo genetic testing.

CONCLUSIONS

These results support the effectiveness of clinician-led genetic counseling in prostate cancer. With clinician training, this approach can be utilized to expand access to appropriate germline genetic testing.

Metabolic collateral lethal target identification reveals MTHFD2 paralogue dependency in ovarian cancer

Recurrent loss-of-function deletions cause frequent inactivation of tumour suppressor genes but often also involve the collateral deletion of essential genes in chromosomal proximity, engendering dependence on paralogues that maintain similar function. Although these paralogues are attractive anticancer targets, no methodology exists to uncover such collateral lethal genes. Here we report a framework for collateral lethal gene identification via metabolic fluxes, CLIM, and use it to reveal MTHFD2 as a collateral lethal gene in UQCR11-deleted ovarian tumours. We show that MTHFD2 has a non-canonical oxidative function to provide mitochondrial NAD+, and demonstrate the regulation of systemic metabolic activity by the paralogue metabolic pathway maintaining metabolic flux compensation. This UQCR11-MTHFD2 collateral lethality is confirmed in vivo, with MTHFD2 inhibition leading to complete remission of UQCR11-deleted ovarian tumours. Using CLIM's machine learning and genome-scale metabolic flux analysis, we elucidate the broad efficacy of targeting MTHFD2 despite distinct cancer genetic profiles co-occurring with UQCR11 deletion and irrespective of stromal compositions of tumours.

Abstract 4012: EGFR inhibition in combination with PI3K/AKT/mTOR and/or Bcl-2 inhibition is a promising novel therapeutic approach for inverted sinonasal papillomas and associated sinonasal carcinomas

Introduction: Activating EGFR mutations are characteristic of inverted sinonasal papillomas (ISP) and ISP-associated sinonasal carcinomas (SNC). Using standard 2D culture models, our group has shown that targeting EGFR activity in ISP-associated SNC effectively inhibits cellular proliferation in vitro. Targeting EGFR in pre-clinical models that are more representative of in vivo patient responses is a critical next step.

Methods: High-throughput drug screening was conducted using a 3D in vitro culture model for two ISP-associated SNC cell lines (SCCNC4 and UM-SCC-112) using a library of >800 curated small molecule inhibitors including inhibitors of EGFR, PI3K/AKT/mTOR (P/A/M), and Bcl-2. Viability was assessed and drug sensitivity scores were calculated. Dual combinations (inhibition of EGFR and P/A/M or Bcl-2) and triple combinations (inhibition of EGFR, P/A/M, and Bcl-2) for select drugs were tested for synergistic killing using the Chou-Talalay and Bliss methods. Treatment-associated transcriptomic changes were monitored using whole-transcriptome RNAseq. Finally, patient-derived organoids (PDOs) from primary sinonasal papilloma or carcinoma tissue were utilized ex vivo for short-term drug screening with EGFR, P/A/M, and/or Bcl-2 inhibitors at maximum human plasma concentration (Cmax) format.

Results: Drug screening demonstrated that ISP-associated SNC cell lines are highly resistant to a diversity of standard and targeted therapeutic agents. Indeed, these cell lines demonstrated poorer responses than other highly resistant tumor types previously analyzed by our group, including triple-negative breast cancer and bladder cancer. Our data demonstrated that EGFR inhibition alone does not effectively kill ISP-associated SNC cells in 3D culture; however, dual and triple combinations of EGFR and P/A/M and/or Bcl-2 inhibitors showed synergistic killing. Finally, sinonasal papilloma and carcinoma PDOs showed partial responses to selected EGFR inhibitors in 3D ex vivo culture.

Conclusions: While EGFR inhibitors effectively inhibit cellular proliferation in ISP-associated SNC cell lines in 2D culture, drug screening in 3D culture and using PDO material - more representative models of in vivo patient responses - show that EGFR inhibition alone is insufficient to completely eliminate these tumor cells, suggesting that EGFR inhibitors alone are unlikely to generate significant clinical responses for patients with ISP or associated SNCs. However, combining targeting of the P/A/M and/or Bcl-2 pathways revealed synergistic killing of ISP-associated SNC cell lines. Taken together, these data demonstrate that compensatory oncogenic and/or anti-apoptotic pathways must be targeted to potentiate EGFR inhibition for successful treatment of ISP and associated SNCs.

Citation Format: Athena M. Apfel, Zhaoping Qin, Albert Liu, Matthew B. Soellner, Sofia D. Merajver, Aaron M. Udager, Nathan M. Merrill. EGFR inhibition in combination with PI3K/AKT/mTOR and/or Bcl-2 inhibition is a promising novel therapeutic approach for inverted sinonasal papillomas and associated sinonasal carcinomas [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 4012.

Insights into the modular design of kinase inhibitors and application to Abl and Axl

Scaffold hopping is a common strategy for generating kinase inhibitors that bind to the DFG-out inactive conformation. Small structural differences in inhibitor scaffolds can have significant effects on potency and selectivity across the kinome, however, these effects are often not studied in detail. Herein, we outline a design strategy to generate an array of DFG-out conformation inhibitors with three different hinge-binders and two DFG-pocket groups. We studied inhibitor selectivity across a large segment of the kinome and elucidated binding preferences that can be used in scaffold hopping campaigns. Using these analyses, we identified two selective inhibitors that display low nanomolar potency against Axl or wild-type and clinically relevant mutants of Abl.

Implementation of INHERET, an Online Family History and Cancer Risk Interpretation Program for Primary Care and Specialty Clinics

BACKGROUND

Individuals at increased risk for cancer are ascertained at low rates of 1% to 12% in primary care (PC). Underserved populations experience disparities of ascertainment, but data are lacking. INHERET is an online personal and family history tool to facilitate the identification of individuals who are eligible, according to guidelines, to be counseled on germline genetic testing and risk management.

PATIENTS AND METHODS

INHERET data entry uses cancer genetics clinic questionnaires and algorithms that process patient data through NCCN Clinical Practice Guidelines in Oncology and best practice guidelines. The tool was tested in silico on simulated and retrospective patients and prospectively in a pilot implementation trial. Patients in cancer genetics and in PC clinics were invited to participate via email or a card. Informed consent was completed online.

RESULTS

INHERET aimed to integrate patient data by algorithms based on professional and best practice guidelines to elicit succinct, actionable recommendations that providers can use without affecting clinic workflow or encounter length. INHERET requires a 4th-grade reading level, has simple navigation, and produces data lists and pedigree graphs. Prospective implementation testing revealed understandability of 90% to 100%, ease of use of 85%, and completion rates of 85% to 100%. Physicians using INHERET reported no added time to their encounters when patients were identified for counseling. In a specialty genetics clinic, INHERET's data were input, on average, within 72 hours compared with 4 to 6 weeks through standard care, and the queue for scheduling patients decreased from 400 to fewer than 15 in <6 months.

CONCLUSIONS

INHERET was found to be accessible for all education and age levels, except patients aged >70 years, who encountered more technical difficulties. INHERET aided providers in conveying high-risk status to patients and eliciting appropriate referrals, and, in a specialty clinic, it produced improved workflows and shortened queues.

Genetic Literacy and Communication of Genetic Information in Families Concerned with Hereditary Breast and Ovarian Cancer: A Cross-Study Comparison in Two Countries and within a Timeframe of More Than 10 Years

Simple Summary

This cross-study comparison uses data collected over 10 years from families living in the US and in Switzerland in order to compare genetic literacy between individuals who had genetic counselling for hereditary breast/ovarian cancer (HBOC) and one or more of their relatives who did not, and examines factors influencing genetic literacy both at the individual and at the family level. The study identifies genetic risk factors and signs of HBOC that remain unclear, even to individuals who had genetic consultation, and highlights the gaps in the dissemination of genetic information. Sensitivity analysis examines the dissemination of genetic information from the individual who had counselling to relatives within the same family that did not.

Abstract

Examining genetic literacy in families concerned with hereditary breast and ovarian cancer (HBOC) helps understand how genetic information is passed on from individuals who had genetic counseling to their at-risk relatives. This cross-study comparison explored genetic literacy both at the individual and the family level using data collected from three sequential studies conducted in the U.S. and Switzerland over ≥10 years. Participants were primarily females, at-risk or confirmed carriers of HBOC-associated pathogenic variants, who had genetic counselling, and ≥1 of their relatives who did not. Fifteen items assessed genetic literacy. Among 1933 individuals from 518 families, 38.5% had genetic counselling and 61.5% did not. Although genetic literacy was higher among participants who had counselling, some risk factors were poorly understood. At the individual level, genetic literacy was associated with having counselling, ≤5 years ago, higher education, and family history of cancer. At the family level, genetic literacy was associated with having counselling, higher education, and a cancer diagnosis. The findings suggest that specific genetic information should be emphasized during consultations, and that at-risk relatives feel less informed about inherited cancer risk, even if information is shared within families. There is a need to increase access to genetic information among at-risk individuals.

G-CSF secreted by mutant IDH1 glioma stem cells abolishes myeloid cell immunosuppression and enhances the efficacy of immunotherapy

Mutant isocitrate-dehydrogenase 1 (mIDH1) synthesizes the oncometabolite 2-hydroxyglutarate (2HG), which elicits epigenetic reprogramming of the glioma cells’ transcriptome by inhibiting DNA and histone demethylases. We show that the efficacy of immune-stimulatory gene therapy (TK/Flt3L) is enhanced in mIDH1 gliomas, due to the reprogramming of the myeloid cells’ compartment infiltrating the tumor microenvironment (TME). We uncovered that the immature myeloid cells infiltrating the mIDH1 TME are mainly nonsuppressive neutrophils and preneutrophils. Myeloid cell reprogramming was triggered by granulocyte colony-stimulating factor (G-CSF) secreted by mIDH1 glioma stem/progenitor-like cells. Blocking G-CSF in mIDH1 glioma–bearing mice restores the inhibitory potential of the tumor-infiltrating myeloid cells, accelerating tumor progression. We demonstrate that G-CSF reprograms bone marrow granulopoiesis, resulting in noninhibitory myeloid cells within mIDH1 glioma TME and enhancing the efficacy of immune-stimulatory gene therapy.

Suicide prevention and mood disorders: Self-exclusion agreements for firearms as a suicide prevention strategy

Suicide involves a complex set of behaviors and emotions that lead up to actions that may be based on planning and forethought or the result of impulse. While there are a host of antecedent circumstances the presence of a mood disorder, primarily depression, is the most common factor in suicide. While management of depression is recognized as important prevention strategy in depression, the means by which suicide occurs must be a critical element of prevention. Policies that lower access to the means for suicide will decrease the fatality. Guns are associated with half of suicides and the case fatality rate of gun associated suicide is over 90% compared to 7% for all other means. This emphasizes the importance of offering strategies that limit access to guns to those at higher risk for suicide. A declaration of formal self-exclusion for access to firearms (guns and ammunition) offers the individual at greater risk for suicide to place themselves on an official list that would prevent them from purchasing lethal weapons. A person with depression, when well, might wish to enroll voluntarily to prevent themselves, when ill, from procuring a weapon to harm themselves or others. This recognizes the autonomy of the person and protects both the individual, the family, and society.

RhoC Modulates Cell Junctions and Type I Interferon Response in Aggressive Breast Cancers

Metastases are the leading cause of death in cancer patients. RhoC, a member of the Rho GTPase family, has been shown to facilitate metastasis of aggressive breast cancer cells by influencing motility, invasion, and chemokine secretion, but as yet there is no integrated model of the precise mechanism of how RhoC promotes metastasis. A common phenotypic characteristic of metastatic cells influenced by these mechanisms is dysregulation of cell-cell junctions. Thus, we set out to study how RhoA- and RhoC-GTPase influence the cell-cell junctions in aggressive breast cancers. We demonstrate that CRISPR-Cas9 knockout of RhoC in SUM 149 and MDA 231 breast cancer cells results in increased normalization of junctional integrity denoted by junction protein expression/colocalization. In functional assessments of junction stability, RhoC knockout cells have increased barrier integrity and increased cell-cell adhesion compared to wild-type cells. Whole exome RNA sequencing and targeted gene expression profiling demonstrate decreased expression of Type I interferon-stimulated genes in RhoC knockout cells compared to wild-type, and subsequent treatment with interferon-alpha resulted in significant increases in adhesion and decreases in invasiveness of wild-type cells and a dampened response to interferon-alpha stimulation with respect to adhesion and invasiveness in RhoC knockout cells. We delineate a key role of RhoC-GTPase in modulation of junctions and response to interferon, which supports inhibition of RhoC as a potential anti-invasion therapeutic strategy.

Murine muscle stem cell response to perturbations of the neuromuscular junction are attenuated with aging

During aging and neuromuscular diseases, there is a progressive loss of skeletal muscle volume and function impacting mobility and quality of life. Muscle loss is often associated with denervation and a loss of resident muscle stem cells (satellite cells or MuSCs); however, the relationship between MuSCs and innervation has not been established. Herein, we administered severe neuromuscular trauma to a transgenic murine model that permits MuSC lineage tracing. We show that a subset of MuSCs specifically engraft in a position proximal to the neuromuscular junction (NMJ), the synapse between myofibers and motor neurons, in healthy young adult muscles. In aging and in a mouse model of neuromuscular degeneration (Cu/Zn superoxide dismutase knockout - Sod1-/-), this localized engraftment behavior was reduced. Genetic rescue of motor neurons in Sod1-/- mice reestablished integrity of the NMJ in a manner akin to young muscle and partially restored MuSC ability to engraft into positions proximal to the NMJ. Using single cell RNA-sequencing of MuSCs isolated from aged muscle, we demonstrate that a subset of MuSCs are molecularly distinguishable from MuSCs responding to myofiber injury and share similarity to synaptic myonuclei. Collectively, these data reveal unique features of MuSCs that respond to synaptic perturbations caused by aging and other stressors.

Initial Findings from a High Genetic Risk Prostate Cancer Clinic

OBJECTIVE

To improve prostate cancer screening for high-risk men, we developed an early detection clinic for patients at high genetic risk of developing prostate cancer. Despite the rapidly growing understanding of germline variants in driving aggressive prostate cancer and the increased availability of genetic testing, there is little evidence surrounding how best to screen these men.

METHODS

We are reporting on the first 45 patients enrolled, men between the ages of 35-75, primarily with known pathogenic germline variants in prostate cancer susceptibility genes. Screening consists of an intake lifestyle survey, PSA, DRE, and SelectMDx urine assay. A biopsy was recommended for any of the following indications: 1) abnormal DRE, 2) PSA above threshold, or 3) SelectMDx above threshold. The primary outcomes were number needed to screen, and number needed to biopsy to diagnose a patient with prostate cancer.

RESULTS

Patients enrolled in the clinic included those with BRCA1 (n=7), BRCA2 (n=16), Lynch Syndrome (n=6), and CHEK2 (n = 4) known pathogenic germline variants. The median age and PSA were 58 (range 35-71) and 1.4 ng/ml (range 0.1-11.4 ng/ml), respectively. 12 patients underwent a prostate needle biopsy and there were 4positive biopsies for prostate cancer.

CONCLUSION

These early data support the feasibility of opening a dedicated clinic for men at high genetic risk of prostate cancer. This early report on the initial enrollment of our long-term study will help optimize early detection protocols and provide evidence for personalized prostate cancer screening in men with key pathogenic germline variants.

Abstract 1187: Optimizing gemcitabine in metastatic TNBC by rational PI3K/AKT combination

Metastatic triple-negative breast cancer (TNBC) has a median survival of 13 months, and only 5 months if brain metastases are present. Advances in immunotherapy are promising, but only add weeks to a few months of progression-free survival to this guarded prognosis. Thus, there is a large unmet need for innovations that improve patient outcomes in the metastatic setting when patients are refractory to first-line treatment. Recently, we published an innovative strategy to identify multi-omic molecular correlates of drug response in TNBC. From this work, we now apply the strategy to 3D cell culture models and patient derived xenografts (PDXs) that are more representative of in vivo drug response in real patients. In brief, we have tested the dose response for a panel of 387 investigational drugs and plotted this readout against molecular characterization in 35 TNBC cell lines and PDXs. Using linear regression, we have identified statistically significant positively and negatively correlating DNA, RNA, and protein predictors of drug efficacy. From this expanded multi-omic set, we have identified a multi-omic signature for sensitivity to gemcitabine, a drug widely used in TNBC, but at present, without any a priori knowledge of who is likely to benefit. Moreover, we noted a significant correlation of response with MERIT40, an AKT substrate. MERIT40 is critical for localization of BRCA1 to facilitate DNA damage repair. MERIT40 promotes resolution of DNA damage caused by chemotherapy, and thus, based on our published work and supporting literature, PI3K/AKT inhibition is a rational synergistic partner with gemcitabine. Moreover, further supporting our hypothesis, preliminary results indicate Chou-Talalay synergy at therapeutically relevant doses when gemcitabine is combined with PI3K/AKT inhibition. In future studies, we will evaluate the ability of the gemcitabine biomarker to predict response, and the efficacy of the prioritized combinations using ex vivo patient models of metastatic breast cancer established in our laboratory.

Citation Format: Nathan M. Merrill, Nathalie M. Vandecan, Athena M. Apfel, Peter J. Ulintz, Liwei Bao, Xu Cheng, Aki Morikawa, Sofia D. Merajver, Matthew B. Soellner. Optimizing gemcitabine in metastatic TNBC by rational PI3K/AKT combination [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 1187.

Norstictic Acid Is a Selective Allosteric Transcriptional Regulator

Inhibitors of transcriptional protein-protein interactions (PPIs) have high value both as tools and for therapeutic applications. The PPI network mediated by the transcriptional coactivator Med25, for example, regulates stress-response and motility pathways, and dysregulation of the PPI networks contributes to oncogenesis and metastasis. The canonical transcription factor binding sites within Med25 are large (∼900 Å2) and have little topology, and thus, they do not present an array of attractive small-molecule binding sites for inhibitor discovery. Here we demonstrate that the depsidone natural product norstictic acid functions through an alternative binding site to block Med25-transcriptional activator PPIs in vitro and in cell culture. Norstictic acid targets a binding site comprising a highly dynamic loop flanking one canonical binding surface, and in doing so, it both orthosterically and allosterically alters Med25-driven transcription in a patient-derived model of triple-negative breast cancer. These results highlight the potential of Med25 as a therapeutic target as well as the inhibitor discovery opportunities presented by structurally dynamic loops within otherwise challenging proteins.

Impact of between-tissue differences on pan-cancer predictions of drug sensitivity

Increased availability of drug response and genomics data for many tumor cell lines has accelerated the development of pan-cancer prediction models of drug response. However, it is unclear how much between-tissue differences in drug response and molecular characteristics may contribute to pan-cancer predictions. Also unknown is whether the performance of pan-cancer models could vary by cancer type. Here, we built a series of pan-cancer models using two datasets containing 346 and 504 cell lines, each with MEK inhibitor (MEKi) response and mRNA expression, point mutation, and copy number variation data, and found that, while the tissue-level drug responses are accurately predicted (between-tissue ρ = 0.88–0.98), only 5 of 10 cancer types showed successful within-tissue prediction performance (within-tissue ρ = 0.11–0.64). Between-tissue differences make substantial contributions to the performance of pan-cancer MEKi response predictions, as exclusion of between-tissue signals leads to a decrease in Spearman’s ρ from a range of 0.43–0.62 to 0.30–0.51. In practice, joint analysis of multiple cancer types usually has a larger sample size, hence greater power, than for one cancer type; and we observe that higher accuracy of pan-cancer prediction of MEKi response is almost entirely due to the sample size advantage. Success of pan-cancer prediction reveals how drug response in different cancers may invoke shared regulatory mechanisms despite tissue-specific routes of oncogenesis, yet predictions in different cancer types require flexible incorporation of between-cancer and within-cancer signals. As most datasets in genome sciences contain multiple levels of heterogeneity, careful parsing of group characteristics and within-group, individual variation is essential when making robust inference.

One of the central goals for precision oncology is to tailor treatment of individual tumors by their molecular characteristics. While drug response predictions have traditionally been sought within each cancer type, it has long been hoped to develop more robust predictions by jointly considering diverse cancer types. While such pan-cancer approaches have improved in recent years, it remains unclear whether between-tissue differences are contributing to the reported pan-cancer prediction performance. This concern stems from the observation that, when cancer types differ in both molecular features and drug response, strong predictive information can come mainly from differences among tissue types. Our study finds that both between- and within-cancer type signals provide substantial contributions to pan-cancer drug response prediction models, and about half of the cancer types examined are poorly predicted despite strong overall performance across all cancer types. We also find that pan-cancer prediction models perform similarly or better than cancer type-specific models, and in many cases the advantage of pan-cancer models is due to the larger number of samples available for pan-cancer analysis. Our results highlight tissue-of-origin as a key consideration for pan-cancer drug response prediction models, and recommend cancer type-specific considerations when translating pan-cancer prediction models for clinical use.

Abstract PS7-06: Incidence and survival of inflammatory breast cancer between 1973 - 2015 in the surveillance, epidemiology and end results (SEER) database

PurposeInflammatory breast cancer (IBC) is a rare and aggressive variant of breast cancer characterized by erythema, edema, and “peau d’orange” of the breast progressing within six months. We assessed the incidence and survival of IBC in the US currently, compared to historical results.

MethodsUsing SEER*Stat, a case list of IBC patients diagnosed between 1973-2015 (n = 29,718) was extracted from the SEER 18 registries by defining IBC using a combination of morphology, stage, and extent of disease criteria. Age-adjusted incidence rates, relative survival rates, and mean survival time were calculated. Significance was determined as non-overlapping 95% confidence intervals.

ResultsThe overall incidence of IBC from 1973 - 2015 is 2.76 (2.73, 2.79) cases per 100,000 people, with white patients having an incidence rate of 2.63 (2.60, 2.67), black patients 4.52 (4.39, 4.65), and patients of other race 1.84 (1.76, 1.93). The relative rate of 5-year survival for IBC patients as a whole is 40.5% (39.0%, 42.0%), with white patients having a rate of 42.5% (40.7%, 44.3%) and black patients’ survival rate 29.9% (26.6%, 33.3%) (see Table 1). White patients diagnosed in 1988-1992 have a mean survival time of 81.9 (53.5, 110.3) months, while those diagnosed in 2008-2012 have mean survival time of 101.9 (90.0, 113.7) months. In contrast black patients diagnosed in 1988-1992 have a mean survival time of 48.5 (37.5, 59.4) months, while those diagnosed in 2008-2012 have mean survival time of 84.3 (77.2, 91.4) months (see Table 2).

ConclusionsOur results suggest that IBC survival has moderately increased in recent years. However, despite the overall improvement in survival for all racial groups, there remains a persistent survival disparity between white and black patients that has not narrowed over two decades. Further research is urgently needed to understand and address this disparity.

Table 1: Relative Survival Rates for inflammatory breast cancer by race, %(95% CI). “Cohort”: cohort analysis, “Period”: period analysis.5-year10-year15-year20-yearBlackCohort29.8 (26.7, 32.9)14.8 (10.9, 19.4)10.4 (5.0, 18.1)3.7 (0.7, 11.2)Period29.9 (26.6, 33.3)18.4 (15.2, 21.8)16.7 (12.9, 20.9)16.2 (9.1, 25.1)WhiteCohort44.0* (42.4, 45.7)30.6* (28.2, 33.0)22.1* (18.8, 25.6)17.5* (13.4, 22.0)Period42.5+ (40.7, 44.3)30.7+ (28.9, 32.5)25.1+ (22.7, 27.5)22.1 (19.2, 25.2)OtherCohort46.8* (41.5, 51.8)26.3 (18.5, 34.7)19.1 (10.3, 29.9)14.1 (3.8, 31.0)Period43.6+ (38.0, 49 .0)32.6+ (26.7, 38.7)30.5 (22.8, 38.6)26.9 (18.3, 36.3)AllCohort41.9* (40.5, 43.3)28.0* (25.9, 30.0)21.3* (18.3, 24.4)15.6* (12.1, 19.5)Period40.5+ (39.0, 42.0)28.9+ (27.4, 30.4)24.0+ (22.0, 26.1)21.5 (18.9, 24.2)Significance relative to black patients, determined by non-overlapping 95% CI calculated via the Greenwood method and demonstrated by * for cohort and + for period analysis.

Table 2: Mean Survival Months by Race Before and After Imputation Using Cox Model Adjusted for Age and Race (95% CI).Mean Survival Time (Months)African AmericanWhiteYearUnadjustedAdjustedUnadjustedAdjusted1988-199246.4* (37.4, 55.4)48.5 (37.5, 59.4)71.3 (65.9, 76.7)81.9 (53.5, 110.3)1993-199649.1* (41.8, 56.4)61.0 (48.2, 73.8)68.1 (64.6, 71.6)86.1 (59.0, 113.2)1997-200247.4* (43.7, 51.2)63.8* (55.3, 72.3)64.8 (62.9, 66.7)99.8 (81.0, 118.7)2003-200741.0* (39.5, 42.5)72.1* (66.6, 77.7)49.9 (49.1, 50.6)98.2 (86.8, 109.6)2008-201225.7* (24.8, 26.4)84.3 (77.2, 91.4)28.7 (28.2, 29.1)101.9 (90.0, 113.7)Significance relative to white patients, determined by non-overlapping 95% CI and demonstrated by *.

Citation Format: Hannah Abraham, Yaoxuan Xia, Bhramar Mukherjee, Sofia D Merajver. Incidence and survival of inflammatory breast cancer between 1973 - 2015 in the surveillance, epidemiology and end results (SEER) database [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PS7-06.

Multiethnic PDX models predict a possible immune signature associated with TNBC of African ancestry

PURPOSE

Triple-negative breast cancer (TNBC) is an aggressive subtype most prevalent among women of Western Sub-Saharan African ancestry. It accounts for 15-25% of African American (AA) breast cancers (BC) and up to 80% of Ghanaian breast cancers, thus contributing to outcome disparities in BC for black women. The aggressive biology of TNBC has been shown to be regulated partially by breast cancer stem cells (BCSC) which mediate tumor recurrence and metastasis and are more abundant in African breast tumors.

METHODS

We studied the biological differences between TNBC in women with African ancestry and those of Caucasian women by comparing the gene expression of the BCSC. From low-passage patient derived xenografts (PDX) from Ghanaian (GH), AA, and Caucasian American (CA) TNBCs, we sorted for and sequenced the stem cell populations and analyzed for differential gene enrichment.

RESULTS

In our cohort of TNBC tumors, we observed that the ALDH expressing stem cells display distinct ethnic specific gene expression patterns, with the largest difference existing between the GH and AA ALDH+ cells. Furthermore, the tumors from the women of African ancestry [GH/AA] had ALDH stem cell (SC) enrichment for expression of immune related genes and processes. Among the significantly upregulated genes were CD274 (PD-L1), CXCR9, CXCR10 and IFI27, which could serve as potential drug targets.

CONCLUSIONS

Further exploration of the role of immune regulated genes and biological processes in BCSC may offer insight into developing novel approaches to treating TNBC to help ameliorate survival disparities in women with African ancestry.

Engineered Tools to Study Intercellular Communication

All multicellular organisms rely on intercellular communication networks to coordinate physiological functions. As members of a dynamic social network, each cell receives, processes, and redistributes biological information to define and maintain tissue homeostasis. Uncovering the molecular programs underlying these processes is critical for prevention of disease and aging and development of therapeutics. The study of intercellular communication requires techniques that reduce the scale and complexity of in vivo biological networks while resolving the molecular heterogeneity in "omic" layers that contribute to cell state and function. Recent advances in microengineering and high-throughput genomics offer unprecedented spatiotemporal control over cellular interactions and the ability to study intercellular communication in a high-throughput and mechanistic manner. Herein, this review discusses how salient engineered approaches and sequencing techniques can be applied to understand collective cell behavior and tissue functions.

Genetic/Familial High-Risk Assessment: Breast, Ovarian, and Pancreatic, Version 2.2021, NCCN Clinical Practice Guidelines in Oncology

The NCCN Guidelines for Genetic/Familial High-Risk Assessment: Breast, Ovarian, and Pancreatic focus primarily on assessment of pathogenic or likely pathogenic variants associated with increased risk of breast, ovarian, and pancreatic cancer and recommended approaches to genetic testing/counseling and management strategies in individuals with these pathogenic or likely pathogenic variants. This manuscript focuses on cancer risk and risk management for BRCA-related breast/ovarian cancer syndrome and Li-Fraumeni syndrome. Carriers of a BRCA1/2 pathogenic or likely pathogenic variant have an excessive risk for both breast and ovarian cancer that warrants consideration of more intensive screening and preventive strategies. There is also evidence that risks of prostate cancer and pancreatic cancer are elevated in these carriers. Li-Fraumeni syndrome is a highly penetrant cancer syndrome associated with a high lifetime risk for cancer, including soft tissue sarcomas, osteosarcomas, premenopausal breast cancer, colon cancer, gastric cancer, adrenocortical carcinoma, and brain tumors.

A Randomized Phase IIb Study of Low-dose Tamoxifen in Chest-irradiated Cancer Survivors at Risk for Breast Cancer

PURPOSE

Low-dose tamoxifen reduces breast cancer risk, but remains untested in chest-irradiated cancer survivors-a population with breast cancer risk comparable with BRCA mutation carriers. We hypothesized that low-dose tamoxifen would be safe and efficacious in reducing radiation-related breast cancer risk.

PATIENTS AND METHODS

We conducted an investigator-initiated, randomized, phase IIb, double-blinded, placebo-controlled trial (FDA IND107367) between 2010 and 2016 at 15 U.S. sites. Eligibility included ≥12 Gy of chest radiation by age 40 years and age at enrollment ≥25 years. Patients were randomized 1:1 to low-dose tamoxifen (5 mg/day) or identical placebo tablets for 2 years. The primary endpoint was mammographic dense area at baseline, 1 and 2 years. IGF-1 plays a role in breast carcinogenesis; circulating IGF-1 and IGF-BP3 levels at baseline, 1 and 2 years served as secondary endpoints.

RESULTS

Seventy-two participants (low-dose tamoxifen: n = 34, placebo: n = 38) enrolled at a median age of 43.8 years (35-49) were evaluable. They had received chest radiation at a median dose of 30.3 Gy. Compared with the placebo arm, the low-dose tamoxifen arm participants had significantly lower mammographic dense area (P = 0.02) and IGF1 levels (P < 0.0001), and higher IGFBP-3 levels (P = 0.02). There was no difference in toxicity biomarkers (serum bone-specific alkaline phosphatase, lipids, and antithrombin III; urine N-telopeptide cross-links) between the treatment arms. We did not identify any grade 3-4 adverse events related to low-dose tamoxifen.

CONCLUSIONS

In this randomized trial in chest-irradiated cancer survivors, we find that low-dose tamoxifen is effective in reducing established biomarkers of breast cancer risk and could serve as a risk-reduction strategy.

Development of an Enhanced-Throughput Radial Cell Migration Device

It is often desirable to evaluate the ability of cells to move in an unrestricted manner in multiple directions without chemical gradients. By combining the standard radial migration assay with injection-molded gaskets and a rigid fixture, we have developed a highly reliable and sensitive method for observing and measuring radial cell migration. This method is adapted for use on high-throughput automated imaging systems. The use of injection-molded gaskets enables low-cost replacement of cell-wetted components. Moreover, the design enables secondary placement of attractants and co-cultures. This device and its enhanced throughput permit the use of therapeutic screening to evaluate phenotypic responses, for example, cancer cell migration response due to drugs or chemical signals. This approach is orthogonal to other 2D cell migration applications, such as scratch wound assays, although here we offer a noninvasive, enhanced-throughput device, which currently is not commercially available but is easily constructed. The proposed device is a systematic, reliable, rapid application to monitor phenotypic responses to chemotherapeutic screens, genetic alterations (e.g., RNAi and CRISPR), supplemental regimens, and other approaches, offering a reliable methodology to survey unbiased and noninvasive cell migration.

MEK is a promising target in the basal subtype of bladder cancer

While many resources exist for the drug screening of bladder cancer cell lines in 2D culture, it is widely recognized that screening in 3D culture is more representative of in vivo response. Importantly, signaling changes between 2D and 3D culture can result in changes to drug response. To address the need for 3D drug screening of bladder cancer cell lines, we screened 17 bladder cancer cell lines using a library of 652 investigational small-molecules and 3 clinically relevant drug combinations in 3D cell culture. Our goal was to identify compounds and classes of compounds with efficacy in bladder cancer. Utilizing established genomic and transcriptomic data for these bladder cancer cell lines, we correlated the genomic molecular parameters with drug response, to identify potentially novel groups of tumors that are vulnerable to specific drugs or classes of drugs. Importantly, we demonstrate that MEK inhibitors are a promising targeted therapy for the basal subtype of bladder cancer, and our data indicate that drug screening of 3D cultures provides an important resource for hypothesis generation.

Risk factors for inflammatory and non-inflammatory breast cancer in North Africa

PURPOSE

Studies of the etiology of inflammatory breast cancer (IBC), a rare but aggressive breast cancer, have been hampered by limited risk factor information. We extend previous studies by evaluating a broader range of risk factors.

METHODS

Between 2009 and 2015, we conducted a case-control study of IBC at six centers in Egypt, Tunisia, and Morocco; enrolled were 267 IBC cases and for comparison 274 non-IBC cases and 275 controls, both matched on age and geographic area to the IBC cases. We administered questionnaires and collected anthropometric measurements for all study subjects. We used multiple imputation methods to account for missing values and calculated odds ratios (ORs) and 95% confidence intervals (CIs) using polytomous logistic regression comparing each of the two case groups to the controls, with statistical tests for the difference between the coefficients for the two case groups.

RESULTS

After multivariable adjustment, a livebirth within the previous 2 years (OR 4.6; 95% CI 1.8 to 11.7) and diabetes (OR 1.8; 95% CI 1.1 to 3.0) were associated with increased risk of IBC, but not non-IBC (OR 0.9; 95% CI 0.3 to 2.5 and OR 0.9; 95% CI 0.5 to 1.6 for livebirth and diabetes, respectively). A family history of breast cancer, inflammatory-like breast problems, breast trauma, and low socioeconomic status were associated with increased risk of both tumor types.

CONCLUSIONS

We identified novel risk factors for IBC and non-IBC, some of which preferentially increased risk of IBC compared to non-IBC. Upon confirmation, these findings could help illuminate the etiology and aid in prevention of this aggressive cancer.

Genetic Testing and Surveillance of Young Breast Cancer Survivors and Blood Relatives: A Cluster Randomized Trial

Simple Summary

Identifying breast cancer patients with pathogenic mutations that run in their families may improve the follow-up care they receive and breast cancer screening of their close relatives. In this study we identified breast cancer patients with high chances of having a pathogenic mutation and their close female relatives. We developed and tested two different kinds of letters and booklets that presented either personalized or generic information about screening and breast cancer that runs in families, and we encouraged participants to seek genetic evaluation. We found that both types of letters worked equally well for breast cancer patients and for relatives, regardless of their racial background. The personalized letters had slightly better outcomes. Some breast cancer patients and their relatives used genetic services and improved their screening practices. Black patients and their relatives were more satisfied with the booklets than other participants.

Abstract

We compared a tailored and a targeted intervention designed to increase genetic testing, clinical breast exam (CBE), and mammography in young breast cancer survivors (YBCS) (diagnosed <45 years old) and their blood relatives. A two-arm cluster randomized trial recruited a random sample of YBCS from the Michigan cancer registry and up to two of their blood relatives. Participants were stratified according to race and randomly assigned as family units to the tailored (n = 637) or the targeted (n = 595) intervention. Approximately 40% of participants were Black. Based on intention-to-treat analyses, YBCS in the tailored arm reported higher self-efficacy for genetic services (p = 0.0205) at 8-months follow-up. Genetic testing increased approximately 5% for YBCS in the tailored and the targeted arm (p ≤ 0.001; p < 0.001) and for Black and White/Other YBCS (p < 0.001; p < 0.001). CBEs and mammograms increased significantly in both arms, 5% for YBCS and 10% for relatives and were similar for Blacks and White/Others. YBCS and relatives needing less support from providers reported significantly higher self-efficacy and intention for genetic testing and surveillance. Black participants reported significantly higher satisfaction and acceptability. Effects of these two low-resource interventions were comparable to previous studies. Materials are suitable for Black women at risk for hereditary breast/ovarian cancer (HBOC).

Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography

Brain metastases are the most lethal cancer lesions; 10-30% of all cancers metastasize to the brain, with a median survival of only ~5-20 months, depending on the cancer type. To reduce the brain metastatic tumor burden, gaps in basic and translational knowledge need to be addressed. Major challenges include a paucity of reproducible preclinical models and associated tools. Three-dimensional models of brain metastasis can yield the relevant molecular and phenotypic data used to address these needs when combined with dedicated analysis tools. Moreover, compared to murine models, organ-on-a-chip models of patient tumor cells traversing the blood brain barrier into the brain microenvironment generate results rapidly and are more interpretable with quantitative methods, thus amenable to high throughput testing. Here we describe and demonstrate the use of a novel 3D microfluidic blood brain niche (µmBBN) platform where multiple elements of the niche can be cultured for an extended period (several days), fluorescently imaged by confocal microscopy, and the images reconstructed using an innovative confocal tomography technique; all aimed to understand the development of micro-metastasis and changes to the tumor micro-environment (TME) in a repeatable and quantitative manner. We demonstrate how to fabricate, seed, image, and analyze the cancer cells and TME cellular and humoral components, using this platform. Moreover, we show how artificial intelligence (AI) is used to identify the intrinsic phenotypic differences of cancer cells that are capable of transit through a model µmBBN and to assign them an objective index of brain metastatic potential. The data sets generated by this method can be used to answer basic and translational questions about metastasis, the efficacy of therapeutic strategies, and the role of the TME in both.

Abstract 38: Molecular determinants of drug response in TNBC cell lines

Triple-negative breast cancer (TNBC) is one of the deadliest forms of breast cancer due to limited treatment options beyond conventional chemotherapy. TNBC constitutes approximately 10-20% of total breast cancer cases in the US; however, TNBC tends to be more aggressive, higher grade, and have a poorer prognosis than other forms of breast cancer. While oncogenic aberrations have been identified in TNBC, such as the PI3K/AKT/mTOR pathway that is misregulated in ~25% of tumors, there is a general lack of predictive markers of therapeutic efficacy to identify subsets of patients most likely to positively respond to a given targeted or conventional therapy. Simply relying on mutation status is undependable, as some patients without PI3K mutations respond to PI3K inhibitors and some patients with PI3K mutations do not respond. Thus, there is a critical need for biomarkers of drug efficacy in TNBC to help design precision medicine clinical trials based on systematically derived predictive biomarkers. To fill this gap, we devised a strategy to identify biomarkers of drug efficacy in TNBC. Using 23 TNBC cell lines, drug sensitivity scores (DSS3) were determined across a panel of investigational drugs and drugs approved for other indications. Molecular readouts were generated for each cell line using RNA sequencing, RNA targeted panels, DNA sequencing, and functional proteomics. DSS3 values were correlated with molecular readouts using an FDR-corrected significance cutoff of p* &lt; 0.05 and yielded molecular determinant panels that predict anti-TNBC efficacy. Molecular determinant panels were obtained from 12 drugs that were prioritized on the basis of their efficacy. Six molecular determinant panels were obtained by correlating DSS3 with molecular readouts. We found that coinhibiting correlated pathways led to robust synergy across many cell lines. Together, our work presents an integrated method to identify biomarkers of drug efficacy in TNBC, where DNA predictions correlate poorly with drug response. Furthermore, we outline a framework to identify optimal companion drugs for combination therapy.

Citation Format: Nathan M. Merrill, Eric J. Lachacz, Nathalie M. Vandecan, Peter J. Ulintz, Li Wei Bao, John P. Lloyd, Aki Morikawa, Sofia D. Merajver, Matthew B. Soellner. Molecular determinants of drug response in TNBC cell lines [abstract]. In: Proceedings of the AACR Special Conference on Advancing Precision Medicine Drug Development: Incorporation of Real-World Data and Other Novel Strategies; Jan 9-12, 2020; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2020;26(12_Suppl_1):Abstract nr 38.

NCCN Guidelines Insights: Genetic/Familial High-Risk Assessment: Breast, Ovarian, and Pancreatic, Version 1.2020

The NCCN Guidelines for Genetic/Familial High-Risk Assessment: Breast, Ovarian, and Pancreatic provide recommendations for genetic testing and counseling for hereditary cancer syndromes, and risk management recommendations for patients who are diagnosed with syndromes associated with an increased risk of these cancers. The NCCN panel meets at least annually to review comments, examine relevant new data, and reevaluate and update recommendations. These NCCN Guidelines Insights summarize the panel's discussion and most recent recommendations regarding criteria for high-penetrance genes associated with breast and ovarian cancer beyond BRCA1/2, pancreas screening and genes associated with pancreatic cancer, genetic testing for the purpose of systemic therapy decision-making, and testing for people with Ashkenazi Jewish ancestry.

Is the HERV-K HML-2 Xq21.33, an endogenous retrovirus mutated by gene conversion of chromosome X in a subset of African populations, associated with human breast cancer?

The human endogenous retroviruses HERV-K HML-2 have been considered a possible cause of human breast cancer (BrC). A HERV-K HML-2 fully intact provirus Xq21.33 was recently identified in some West African people. We used PCR technology to search for the Xq21.33 provirus in DNA from Nigerian women with BrC and controls. to see if Xq21.33 plays any role in predisposing to BrC. This provirus was detected in 27 of 216 (12.5%) women with BrC and in 22 of 219 (10.0%) controls. These results were not statistically significant. The prevalence of provirus in premenopausal control women 44 years or younger [18/157 (11.46%)} vs women with BrC [12/117 (10.26%)] showed no statistical difference. The prevalence of virus in postmenopausal control women > 45 yrs. was 7.4% (4/54) vs 15.31% (15/98) in postmenopausal women with BrC. These changes were not statistically significant at <.05, but the actual p value of <.0.079, suggests that Xq21.33 might play some role in predisposing to BrC in postmenopausal women. Provirus was present in Ghanaian women (6/87), in 1/6 Pygmy populations and in African American men (4/45) and women (6/68), but not in any Caucasian women (0/109). Two BrC cell lines (HCC 70 and DT22) from African American women had Xq21.33. Env regions of the virus which differed by 2-3 SNPs did not alter the protein sequence of the virus. SNP at 5730 and 8529 were seen in all persons with provirus, while 54% had an additional SNP at 7596.Two Nigerian women and 2 Ghanaian women had additional unusual SNPs. Homozygosity was seen in (5/27) BrC and (2/22) control women. The genetic variation and homozygosity patterns suggested that there was gene conversion of this X chromosome associated virus. The suggestive finding in this preliminary data of possible increased prevalence of Xq21.33 provirus in post-menopausal Nigerian women with BrC should be clarified by a more statistically powered study sample to see if postmenopausal African and/or African American women carriers of Xq21.33 might show increased risk of BrC. The implication of finding such a link would be the development of antiretroviral drugs that might aid in preventing BrC in Xq21.33+ women.

Molecular determinants of drug response in TNBC cell lines

PURPOSE

There is a need for biomarkers of drug efficacy for targeted therapies in triple-negative breast cancer (TNBC). As a step toward this, we identify multi-omic molecular determinants of anti-TNBC efficacy in cell lines for a panel of oncology drugs.

METHODS

Using 23 TNBC cell lines, drug sensitivity scores (DSS3) were determined using a panel of investigational drugs and drugs approved for other indications. Molecular readouts were generated for each cell line using RNA sequencing, RNA targeted panels, DNA sequencing, and functional proteomics. DSS3 values were correlated with molecular readouts using a FDR-corrected significance cutoff of p* < 0.05 and yielded molecular determinant panels that predict anti-TNBC efficacy.

RESULTS

Six molecular determinant panels were obtained from 12 drugs we prioritized based on their efficacy. Determinant panels were largely devoid of DNA mutations of the targeted pathway. Molecular determinants were obtained by correlating DSS3 with molecular readouts. We found that co-inhibiting molecular correlate pathways leads to robust synergy across many cell lines.

CONCLUSIONS

These findings demonstrate an integrated method to identify biomarkers of drug efficacy in TNBC where DNA predictions correlate poorly with drug response. Our work outlines a framework for the identification of novel molecular determinants and optimal companion drugs for combination therapy based on these correlates.

Breast cancers utilize hypoxic glycogen stores via PYGB, the brain isoform of glycogen phosphorylase, to promote metastatic phenotypes

In breast cancer, tumor hypoxia has been linked to poor prognosis and increased metastasis. Hypoxia activates transcriptional programs in cancer cells that lead to increased motility and invasion, as well as various metabolic changes. One of these metabolic changes, an increase in glycogen metabolism, has been further associated with protection from reactive oxygen species damage that may lead to premature senescence. Here we report that breast cancer cells significantly increase glycogen stores in response to hypoxia. We found that knockdown of the brain isoform of an enzyme that catalyzes glycogen breakdown, glycogen phosphorylase B (PYGB), but not the liver isoform, PYGL, inhibited glycogen utilization in estrogen receptor negative and positive breast cancer cells; whereas both independently inhibited glycogen utilization in the normal-like breast epithelial cell line MCF-10A. Functionally, PYGB knockdown and the resulting inhibition of glycogen utilization resulted in significantly decreased wound-healing capability in MCF-7 cells and a decrease in invasive potential of MDA-MB-231 cells. Thus, we identify PYGB as a novel metabolic target with potential applications in the management and/or prevention of metastasis in breast cancer.

Abstract 3989: Identification of biomarkers for UM-164 in triple-negative breast cancer

Triple negative breast cancer (TNBC) is one of the deadliest forms of breast cancer due to limited treatment options beyond conventional chemotherapy. While making up approximately 10-20% of total breast cancer cases in the US, TNBC carries a serious burden of disease as it tends to be more aggressive, higher grade, and have a poorer prognosis than other forms of breast cancer. Though new therapies, such as PARP inhibitors, have shown promise in clinical trials in very select patients (e.g. BRCA1 mutation carriers), there is a general lack of predictive markers of therapeutic efficacy to identify subsets of patients most likely to positively respond to a given targeted or conventional therapy. Thus, there is a critical need for biomarkers of drug efficacy in TNBC to help design precision medicine clinical trials based on systematically derived predictive biomarkers. To fill this gap, we devised a strategy to identify biomarkers of drug efficacy in TNBC. As a paradigm of our approach, we treated a panel of 23 TNBC cell lines with our potent c-Src/p38 inhibitor, UM-164, and determined a drug sensitivity score (DSS) in each line. We then calculated correlations of DSS with a variety of molecular readouts, including RNA sequencing, reverse-phase protein array, DNA sequencing array, and Nanostring RNA and miRNA arrays. From these correlations, we have identified expression DJ1, MAPK11, and PCM1 as strong predictors of UM-164 efficacy in TNBC. Building on this, we used our results to identify companion drugs that lead to synergy or test others that could instead result in antagonism when used in combination. To verify our results, independently targeting the DJ1 pathway, we show that AKT inhibition results in synergy when combined with UM-164. The outcome of this research yields a robust and generalizable methodology for the identification of biomarkers in cancer to design Phase I-III trials and for generating the mechanistic evidence of effective rational combinations.

Citation Format: Nathan M. Merrill, Nathalie M. Vandecan, John P. Lloyd, Eric J. Lachacz, Peter J. Ulintz, Sofia D. Merajver, Matthew B. Soellner. Identification of biomarkers for UM-164 in triple-negative breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 3989.

Abstract 1327: UM-9107: A selective wild-type and T315I Bcr-Abl inhibitor with in vivo activity against chronic myelogenous leukemia

Purpose: Long-term treatment of chronic myelogenous leukemia (CML) with the Bcr-Abl inhibitor imatinib, is initially successful but gives rise to several drug-resistant mutations. The most prevalent of these is the T315I ‘gatekeeper’ mutation that is sensitive to the second-line therapy, ponatinib. However, ponatinib causes serious vascular adverse events, including fatalities, in over 25% of patients, in part due to its target promiscuity. We have designed a novel Bcr-Abl inhibitor (UM-9107) that shows significant in vitro and in vivo anti-CML activity against wild-type and drug-resistant mutants, including the gatekeeper mutant. Furthermore, UM-9107 has excellent selectivity across the kinome and in vitro surrogate toxicity assessment models demonstrate a low likelihood of vascular adverse events as compared to ponatinib.

Experimental Design: We designed a series of compounds to specifically interact with a specific kinked conformation of the phosphate-binding loop of Abl. Since only a small proportion of kinases display this kinked conformation, we hypothesized that our compounds would be selective for Abl. We have analyzed the compound series biochemically and in vitro. The most potent compound, UM-9107, has been comprehensively characterized including: biochemical inhibition, cellular target engagement, kinome-wide profiling, in vitro cell proliferation, pharmacokinetic studies, and in vivo activity in xenograft models of CML.

Results: We demonstrate that UM-9107 potently inhibits all clinical mutants of Bcr-Abl, including the T315I gatekeeper mutant. UM-9107 shows robust activity against CML cell lines, comparable to ponatinib, with significantly fewer off-targets, as determined by kinome-wide profiling. Phenotypic profiling of UM-9107 in human primary cells shows low risk of vascular adverse events as indicated by specific biomarker readouts. UM-9107 demonstrates good oral bioavailability and in vivo activity in xenograft models of CML, with low toxicity.

Conclusions: The success of imatinib has been revolutionary and has led to an increase in the number of patients on long-term therapy. This inevitably gives rise to drug resistance through point mutations in the Bcr-Abl protein. Our results suggest that UM-9107 is a safe and efficacious preclinical candidate for the treatment of imatinib-resistant CML.

Citation Format: Sameer Phadke, Lluis Lopez-Barcons, Taylor K. Johnson, Eric J. Lachacz, Sofia D. Merajver, Matthew B. Soellner. UM-9107: A selective wild-type and T315I Bcr-Abl inhibitor with in vivo activity against chronic myelogenous leukemia [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 1327.

Abstract 4518: IL-4/IL-13 stimulated tumor-associated macrophages enhance breast cancer cell invasion through Rho-GTPase signaling

The high metastatic potential of inflammatory and other aggressive breast cancer is the major determinant of mortality. Recently, it has become clear that signals from the tumor microenvironment (TME) harbor the capacity to enhance cancer cell dissemination. Of the various cells that comprise the TME, macrophages are the most abundant in solid tumors. Therefore, we aimed to better understand the relationship between macrophage-breast cancer cell crosstalk. Intriguingly, in our previous work we showed that inflammatory breast cancer (IBC) cells are hyper-migratory in response to macrophage conditioned media. Additionally, we found this process is regulated by the Rho-GTPase, RhoC. Recent advances in tumor associated macrophage (TAM) biology have led to the understanding that TAM populations in the TME are diverse, primarily due to directional differentiation promoted by unique secreted components from the various cells in the TME. Therefore, this study aimed to understand which subpopulation of M2-like TAMs had the greatest impact on breast cancer cell aggressiveness. Our data show that stimulation of the triple negative breast cancer (TNBC) cell model, MDA-MB-231, and the IBC TNBC cell line, SUM-149, with media extracts from IL-4/IL-13 stimulated M2 macrophages (M2a) elicit the strongest migratory and invasive responses. Subsequently, we stimulated RhoA or RhoC knockout (CRISPR) MDA-231 and SUM-149 cells with M2a conditioned media to address their role in regulating migratory/invasive responses. In brief, we find that RhoA and RhoC, in part, regulate M2a-TAM induced responses. Secretome analysis of M2a-TAM conditioned media reveals high levels of vascular endothelial growth factor (VEGF) and chemokine (C-C motif) ligand 18 (CCL-18). Functional studies suggest that VEGF and CCL-18 synergistically enhance cellular invasiveness. Moreover, pretreatment with the ROCK inhibitor Y-27632 or GSK429286A drastically inhibited VEGF, CCL-18, or M2a induced migratory responses. These data suggest that the Rho-GTPases regulate M2a-mediated breast cancer cell invasion and potentially offer a novel approach for the treatment of metastatic breast cancer through potential prevention of progression.

Citation Format: Andrew C. Little, Pragathi Pathanjeli, Zhifen Wu, Liwei Bao, Laura Goo, Joel A. Yates, Sofia D. Merajver. IL-4/IL-13 stimulated tumor-associated macrophages enhance breast cancer cell invasion through Rho-GTPase signaling [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 4518.

Abstract 4363: Effects of the small GTPase RhoC on inflammatory breast cancer metabolism

Inflammatory breast cancer (IBC) is an extremely aggressive and rare form of cancer that disproportionally affects African American and younger women. While IBC represents 1-5% of breast cancers, it accounts for 10% of all breast cancer deaths annually in the United States. We have previously shown that the metabolic characteristics of IBC, specifically in the triple negative (TN) and inflammatory breast cancer cell line SUM149, are significantly altered from those of normal breast cancer cells. We have shown previously that RhoC, a member of the Ras superfamily of GTPases, contributes to the metastatic IBC phenotype and acts as a regulator of the metabolite N-acetyl aspartate (NAA) in SUM149 cells. NAA is the second most abundant metabolite in the brain (only exceeded by glutamate) and has been used for the diagnosis of neurodegenerative disorders such as the fatal genetic disorder Canavan’s disease, which is characterized by toxic NAA levels due to a deleterious mutation in aspartoacyclase(ASPA). ASPA is the enzyme involved in the catabolism of NAA into aspartate and acetate. NAA has previously been considered a brain specific metabolite and the fundamental role of NAA outside of the central nervous system, especially in the context of cancer, remains elusive but highly intriguing.

We have previously shown that NAA levels are significantly higher in the IBC-derived TN SUM149 cells than TN cancer cell line MDA-MB-231. Interestingly, and independently, recent studies have also implicated high levels of tumoral NAA with significantly worse survival rates in ovarian cancer patients. The synthesis of NAA from acetyl-CoA and aspartate is catalyzed by the enzyme Asp-NAT, which is encoded for by the gene NAT8L. Knockdown of RhoC in SUM149 cells using shRNA significantly decreases both NAT8L expression and NAA metabolite levels. To further understand RhoC’s role in the modulation of NAA, we generated RhoC and RhoA knockout cell lines using CRIPSR-Cas9 in a set of inflammatory and noninflammatory breast cancer cell lines. RNA-seq analysis of these show that SUM149 RhoC knockout cells produce the largest amount of differentially regulated genes when compared to wild-type cells. The differentially regulated genes include many of the key genes involved in NAA associated pathways. Furthermore, metabolic studies reveal that the most downregulated metabolites in the SUM149 RhoC knockout cell line are N-acetyl derivates including NAA, N-acetylglutamate(NAG), and N-acetylaspartylglutamate (NAAG). Overexpression and siRNA cell lines for both NAT8L and ASPA have been generated to further elucidate the altered metabolism seen in these cells. Additional molecular studies are ongoing to determine the specific role of NAA in the adapted metabolic pathways of inflammatory breast cancer that may shed light on IBC’s increased metastatic potential and decreased survival.

Citation Format: Laura E. Goo, Joel A. Yates, Andrew C. Little, Daniel Kremer, Ilya Kovalenko, Christopher R. Oliver, Trisha Westerhof, Zhifen Wu, Nathalie Vandecan, Liwei Bao, Peter J. Ulintz, Costas A. Lyssiotis, Sofia D. Merajver. Effects of the small GTPase RhoC on inflammatory breast cancer metabolism [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 4363.

IL-4/IL-13 Stimulated Macrophages Enhance Breast Cancer Invasion Via Rho-GTPase Regulation of Synergistic VEGF/CCL-18 Signaling

Tumor associated macrophages (TAMs) are increasingly recognized as major contributors to the metastatic progression of breast cancer and enriched levels of TAMs often correlate with poor prognosis. Despite our current advances it remains unclear which subset of M2-like macrophages have the highest capacity to enhance the metastatic program and which mechanisms regulate this process. Effective targeting of macrophages that aid cancer progression requires knowledge of the specific mechanisms underlying their pro-metastatic actions, as to avoid the anticipated toxicities from generalized targeting of macrophages. To this end, we set out to understand the relationship between the regulation of tumor secretions by Rho-GTPases, which were previously demonstrated to affect them, macrophage differentiation, and the converse influence of macrophages on cancer cell phenotype. Our data show that IL-4/IL-13 in vitro differentiated M2a macrophages significantly increase migratory and invasive potential of breast cancer cells at a greater rate than M2b or M2c macrophages. Our previous work demonstrated that the Rho-GTPases are potent regulators of macrophage-induced migratory responses; therefore, we examined M2a-mediated responses in RhoA or RhoC knockout breast cancer cell models. We find that both RhoA and RhoC regulate migration and invasion in MDA-MB-231 and SUM-149 cells following stimulation with M2a conditioned media. Secretome analysis of M2a conditioned media reveals high levels of vascular endothelial growth factor (VEGF) and chemokine (C-C motif) ligand 18 (CCL-18). Results from our functional assays reveal that M2a TAMs synergistically utilize VEGF and CCL-18 to promote migratory and invasive responses. Lastly, we show that pretreatment with ROCK inhibitors Y-276332 or GSK42986A attenuated VEGF/CCL-18 and M2a-induced migration and invasion. These results support Rho-GTPase signaling regulates downstream responses induced by TAMs, offering a novel approach for the prevention of breast cancer metastasis by anti-RhoA/C therapies.

A platform for artificial intelligence based identification of the extravasation potential of cancer cells into the brain metastatic niche

Brain metastases are the most lethal complication of advanced cancer; therefore, it is critical to identify when a tumor has the potential to metastasize to the brain. There are currently no interventions that shed light on the potential of primary tumors to metastasize to the brain. We constructed and tested a platform to quantitatively profile the dynamic phenotypes of cancer cells from aggressive triple negative breast cancer cell lines and patient derived xenografts (PDXs), generated from a primary tumor and brain metastases from tumors of diverse organs of origin. Combining an advanced live cell imaging algorithm and artificial intelligence, we profile cancer cell extravasation within a microfluidic blood-brain niche (μBBN) chip, to detect the minute differences between cells with brain metastatic potential and those without with a PPV of 0.91 in the context of this study. The results show remarkably sharp and reproducible distinction between cells that do and those which do not metastasize inside of the device.

Clinical characteristics, HIV status, and molecular biomarkers in squamous cell carcinoma of the conjunctiva in Ghana

BACKGROUND AND AIMS

Conjunctival squamous cell carcinoma (CSCC) varies in incidence geographically from 0 to 1 case per 100 000 per year globally. Additionally, the incidence of CSCC is known to increase 49% for every 10° decrease in latitude. Since the onset of the AIDS epidemic, there has been a trend of increasing incidence of CSCC in Africa, and despite relatively stable levels of ultraviolet (UV) exposure, there is an observed 12 times greater risk of developing CSCC when individuals are infected with HIV. In this study, we aim to analyze the clinical characteristics and biomarkers of CSCC in Ghana.

METHODS

In this study, a registry review of patients from January 2011 to May 2016 with CSCC at Komfo-Anokye Teaching Hospital in Kumasi, Ghana, was performed (n = 64). Tumor blocks of the CSCC were analyzed for the expression of various biomarkers.

RESULTS

In this study, the median age of onset of CSCC is 46.5 years old (range of 20-90 y old). Fifty one and a half percent (n = 33) of the cohort is female. There is a low rate of smoking and alcohol use in our CSCC cohort. Thirty-nine percent (n = 12) of Ghanaian men with CSCC are HIV-, while only 12% (n = 4) of women are HIV-. Fifteen patients had metastasis to lymph nodes or other tissues, and we observed a statistically significant relationship between HIV infection and metastasis (P = 0.027, chi-squared test). We observed no statistically significant relationship between known prognostic CSCC biomarkers and HIV status, age, or tumor stage.

CONCLUSION

Better characterization of CSCC could have a profound impact on the prevention, early identification, and treatment of CSCC in Africa. A retrospective chart analysis and collection of tumor samples can be challenging in this region due to methods of record keeping and stigma attached to clinical data such as HIV testing and smoking and alcohol use. As a result, in this study, data were often incomplete leading to inconclusive results and analysis that should be interpreted with caution. Future studies should consider a prospective study design that gathers clinical data in a standardized format and ensures fresh tissue from CSCC tumors.

Biophysical Phenotyping and Modulation of ALDH+ Inflammatory Breast Cancer Stem-Like Cells

Cancer stem-like cells (CSCs) have been shown to initiate tumorigenesis and cancer metastasis in many cancer types. Although identification of CSCs through specific marker expression helps define the CSC compartment, it does not directly provide information on how or why this cancer cell subpopulation is more metastatic or tumorigenic. In this study, the functional and biophysical characteristics of aggressive and lethal inflammatory breast cancer (IBC) CSCs at the single-cell level are comprehensively profiled using multiple microengineered tools. Distinct functional (cell migration, growth, adhesion, invasion and self-renewal) and biophysical (cell deformability, adhesion strength and contractility) properties of ALDH+ SUM149 IBC CSCs are found as compared to their ALDH- non-CSC counterpart, providing biophysical insights into why CSCs has an enhanced propensity to metastasize. It is further shown that the cellular biophysical phenotype can predict and determine IBC cells' tumorigenic ability. SUM149 and SUM159 IBC cells selected and modulated through biophysical attributes-adhesion and stiffness-show characteristics of CSCs in vitro and enhance tumorigenicity in in vivo murine models of primary tumor growth. Overall, the multiparametric cellular biophysical phenotyping and modulation of IBC CSCs yields a new understanding of IBC's metastatic properties and how they might develop and be targeted for therapeutic interventions.