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Purpose: Paclitaxel is a widely used anticancer therapeutic. Peripheral neuropathy is the dose-limiting toxicity and negatively impacts quality of life. Rare germline gene markers were evaluated for predicting severe taxane-induced peripheral neuropathy (TIPN) in the patients of European ancestry. In addition, the impact of Cytochrome P450 (CYP) 2C8, CYP3A4, and CYP3A5 metabolizer status on likelihood of severe TIPN was also assessed. Experimental Design: Whole-exome sequencing analyses were performed in 340 patients of European ancestry who received a standard dose and schedule of paclitaxel in the adjuvant, randomized phase III breast cancer trial, E5103. Patients who experienced grade 3–4 (n = 168) TIPN were compared to controls (n = 172) who did not experience TIPN. For the analyses, rare variants with a minor allele frequency ≤ 3% and predicted to be deleterious by protein prediction programs were retained. A gene-based, case–control analysis using SKAT was performed to identify genes that harbored an imbalance of deleterious variants associated with increased risk of severe TIPN. CYP star alleles for CYP2C8, CYP3A4, and CYP3A5 were called. An additive logistic regression model was performed to test the association of CYP2C8, CYP3A4, and CYP3A5 metabolizer status with severe TIPN. Results: Cytochrome P450 oxidoreductase (POR) was significantly associated with severe TIPN (P value = 1.8 ×10−6). Six variants were predicted to be deleterious in POR. There were no associations between CYP2C8, CYP3A4, or CYP3A5 metabolizer status with severe TIPN. Conclusions: Rare variants in POR predict an increased risk of severe TIPN in patients of European ancestry who receive paclitaxel.

Purpose:Paclitaxel is a widely used anticancer therapeutic. Peripheral neuropathy is the dose-limiting toxicity and negatively impacts quality of life. Rare germline gene markers were evaluated for predicting severe taxane-induced peripheral neuropathy (TIPN) in the patients of European ancestry. In addition, the impact of Cytochrome P450 (CYP) 2C8, CYP3A4, and CYP3A5 metabolizer status on likelihood of severe TIPN was also assessed.Experimental Design:Whole-exome sequencing analyses were performed in 340 patients of European ancestry who received a standard dose and schedule of paclitaxel in the adjuvant, randomized phase III breast cancer trial, E5103. Patients who experienced grade 3–4 (n = 168) TIPN were compared to controls (n = 172) who did not experience TIPN. For the analyses, rare variants with a minor allele frequency ≤ 3% and predicted to be deleterious by protein prediction programs were retained. A gene-based, case–control analysis using SKAT was performed to identify genes that harbored an imbalance of deleterious variants associated with increased risk of severe TIPN. CYP star alleles for CYP2C8, CYP3A4, and CYP3A5 were called. An additive logistic regression model was performed to test the association of CYP2C8, CYP3A4, and CYP3A5 metabolizer status with severe TIPN.Results:Cytochrome P450 oxidoreductase (POR) was significantly associated with severe TIPN (P value = 1.8 ×10−6). Six variants were predicted to be deleterious in POR. There were no associations between CYP2C8, CYP3A4, or CYP3A5 metabolizer status with severe TIPN.Conclusions:Rare variants in POR predict an increased risk of severe TIPN in patients of European ancestry who receive paclitaxel.

Supplemental table 1-Covariates analyses; Supplemental Table 2-Genotype frequency, variant allele frequency and Hardy-Weinberg Equilibrium (HWE) of variants in CYPs

Supplementary Table 4 - Summary of SNPs with p

Supplementary Table 3 - Summary of SNPs with p

Supplementary Figure 1. Principal component analysis for patients in ECOG-5103 Supplementary Figure 2. Regional association (locuszoom) plots of rs3125923.

DNA methylation aberrations have been implicated in acquired resistance to platinum drugs in ovarian cancer. In this study, we elucidated an epigenetic signature associated with platinum drug resensitization that may offer utility in predicting the outcomes of patients who are coadministered a DNA methyltransferase inhibitor. The ovarian cancer specimens we analyzed were derived from a recent clinical trial that compared the responses of patients with recurrent platinum-resistant ovarian cancer who received carboplatin plus the DNA methyltransferase inhibitor guadecitabine or a standard-of-care chemotherapy regimen selected by the treating physician. Tumor biopsies or malignant ascites were collected from patients before treatment (day 1, cycle 1) or after treatment (after 2 cycles) for epigenomic and transcriptomic profiling using the Infinium HumanMethylation450 BeadChip (HM450). We defined 94 gene promoters that were hypomethylated significantly by guadecitabine, with 1,659 genes differentially expressed in pretreatment versus posttreatment tumors. Pathway analysis revealed that the experimental regimen significantly altered immune reactivation and DNA repair pathways. Progression-free survival correlated with baseline expression levels of 1,155 genes involved in 25 networks. In functional investigations in ovarian cancer cells, engineered upregulation of certain signature genes silenced by promoter methylation (DOK2, miR-193a, and others) restored platinum drug sensitivity. Overall, our findings illuminate how inhibiting DNA methylation can sensitize ovarian cancer cells to platinum drugs, in large part by altering gene expression patterns related to DNA repair and immune activation, with implications for improving the personalized care and survival outcomes of ovarian cancer patients.Significance: Epigenomic targeting may improve therapeutic outcomes in platinum-resistant and recurrent ovarian cancer in part by effects on DNA repair and antitumor immune responses. Cancer Res; 78(3); 631–44. ©2017 AACR.

Table S3. 77 integrated genes

Purpose: Taxane-induced peripheral neuropathy (TIPN) is an important survivorship issue for many cancer patients. Currently, there are no clinically implemented biomarkers to predict which patients might be at increased risk for TIPN. We present a comprehensive approach to identification of genetic variants to predict TIPN.Experimental Design: We performed a genome-wide association study (GWAS) in 3,431 patients from the phase III adjuvant breast cancer trial, ECOG-5103 to compare genotypes with TIPN. We performed candidate validation of top SNPs for TIPN in another phase III adjuvant breast cancer trial, ECOG-1199.Results: When evaluating for grade 3–4 TIPN, 120 SNPs had a P value of −4 from patients of European descent (EA) in ECOG-5103. Thirty candidate SNPs were subsequently tested in ECOG-1199 and SNP rs3125923 was found to be significantly associated with grade 3–4 TIPN (P = 1.7 × 10−3; OR, 1.8). Race was also a major predictor of TIPN, with patients of African descent (AA) experiencing increased risk of grade 2–4 TIPN (HR, 2.1; P = 5.6 × 10−16) and grade 3–4 TIPN (HR, 2.6; P = 1.1 × 10−11) compared with others. An SNP in FCAMR, rs1856746, had a trend toward an association with grade 2–4 TIPN in AA patients from the GWAS in ECOG-5103 (OR, 5.5; P = 1.6 × 10−7).Conclusions: rs3125923 represents a validated SNP to predict grade 3-4 TIPN. Genetically determined AA race represents the most significant predictor of TIPN. Clin Cancer Res; 21(22); 5082–91. ©2015 AACR.

Genome wide genotyping of E5103 samples. Quality controls for GWAS.

Figure S1. (A) Predicted cancer/stromal signatures in TCGA and our data. (B) Correlation between NMF and ESTIMATION estimated cancer cell purity in TCGA OV data. (C,D) Predicted relative proportion of cancer/stromal cell in our and TCGA data. Figure S2. Full list of pathways enriched by differentially expressed genes induced by guadecitabine. Figure S3. A-D. Spearman correlation between the beta values of 24 CpG sites within the promoters of 19 genes significantly demethylated in ascites samples and predicted proportions of B cells (A), T cells (B), NK cells (C), and total cells (D). E-H. Spearman correlation between the beta values of 352 CpG sites within the promoters of 94 genes significantly demethylated in tumor samples and predicted proportion of B cells (E), T cells (F), NK cells (G), and total cells (H). Complete sets of correlation coefficients are provided in Supplementary Table 8. X axis corresponds to Spearman correlation coefficients.

Purpose: Anthracycline-induced congestive heart failure (CHF) is a rare but serious toxicity associated with this commonly employed anticancer therapy. The ability to predict which patients might be at increased risk prior to exposure would be valuable to optimally counsel risk-to-benefit ratio for each patient. Herein, we present a genome-wide approach for biomarker discovery with two validation cohorts to predict CHF from adult patients planning to receive anthracycline.Experimental Design: We performed a genome-wide association study in 3,431 patients from the randomized phase III adjuvant breast cancer trial E5103 to identify single nucleotide polymorphism (SNP) genotypes associated with an increased risk of anthracycline-induced CHF. We further attempted candidate validation in two independent phase III adjuvant trials, E1199 and BEATRICE.Results: When evaluating for cardiologist-adjudicated CHF, 11 SNPs had a P value −5, of which nine independent chromosomal regions were associated with increased risk. Validation of the top two SNPs in E1199 revealed one SNP rs28714259 that demonstrated a borderline increased CHF risk (P = 0.04, OR = 1.9). rs28714259 was subsequently tested in BEATRICE and was significantly associated with a decreased left ventricular ejection fraction (P = 0.018, OR = 4.2).Conclusions: rs28714259 represents a validated SNP that is associated with anthracycline-induced CHF in three independent, phase III adjuvant breast cancer clinical trials. Clin Cancer Res; 23(1); 43–51. ©2016 AACR.

Table S1. Genes demethylated by Guadecitabine Table S2. Differentially expressed genes

PDF file - 121K, Table 1. Supplemental Table 1. Comparison of the Patients Analyzable for VEGFA Amplification to All Patients Enrolled on E2100 Table 2. Estimated Progression Free Survival treatment hazard ratios (arm A vs. arm B) and 95% confidence intervals for various subsets. Comparison between the cases analyzable for VEGFA amplification and all cases in E2100

Table S4. 1155 genes associated with PFS Table S5. 203 guadecitabine deM genes associated with PFS Table S6. 293 guadecitabine upregulated genes associated with PFS

Supplementary Table 5 - Summary of SNPs with p

GWAS with E5103 samples and OpenArray Genotyping with E1199 samples.

Purpose: Clinically validated biomarkers for anti-angiogenesis agents are not available. We have previously reported associations between candidate VEGFA single-nucleotide polymorphisms (SNP) and overall survival (OS) in E2100. The associations between tumor VEGFA amplification and outcome are evaluated here.Experimental Design: E2100 was a phase III trial comparing paclitaxel with or without bevacizumab for patients with metastatic breast cancer. FISH to assess gene amplification status for VEGFA was conducted on paraffin-embedded tumors from 363 patients in E2100. Evaluation for association between amplification status and outcomes was conducted.Results: Estrogen receptor (ER)+ or progesterone receptor (PR)+ tumors were less likely to have VEGFA amplification than ER/PR− tumors (P = 0.020). VEGFA amplification was associated with worse OS (20.2 vs. 25.3 months; P = 0.013) in univariate analysis with a trend for worse OS in multivariate analysis (P = 0.08). There was a significant interaction between VEGFA amplification, hormone receptor status, and study arm. Patients with VEGFA amplification and triple-negative breast cancers (TNBC) or HER2 amplification had inferior OS (P = 0.047); amplification did not affect OS for those who were ER+ or PR+ and HER2−. Those who received bevacizumab with VEGFA amplification had inferior progression-free survival (PFS; P = 0.010) and OS (P = 0.042); no association was seen in the control arm. Test for interaction between study arm and VEGFA amplification with OS was not significant.Conclusion:VEGFA amplification in univariate analysis was associated with poor outcomes; this was particularly prominent in HER2+ or TNBCs. Additional studies are necessary to confirm the trend for poor OS seen on multivariate analysis for patients treated with bevacizumab. Clin Cancer Res; 19(5); 1281–9. ©2012 AACR.

Supplementary Material and Methods

Supplementary Table 2 - Summary of evaluated candidate SNPs in patients with NE in E1199 or E5103.

African ancestry (AA) and obesity are associated with worse survival in early-stage breast cancer. Obesity disproportionately affects women of AA; however, the intersection between ancestry and obesity on breast cancer outcomes remains unclear.A total of 2854 patients in the adjuvant trial E5103 were analyzed. Genetic ancestry was determined using principal components from a genome-wide array. The impact of continuous or binary body mass index (BMI) on disease-free survival (DFS) and overall survival (OS) was evaluated by multivariable Cox proportional hazards models in AA patients and European ancestry (EA) patients.There were 2471 EA patients and 383 AA patients. Higher BMI was significantly associated with worse DFS and OS only in AA patients (DFS hazard ratio [HR], 1.25; 95% CI, 1.07-1.46; OS HR, 1.38; 95% CI, 1.10-1.73), not in EA patients (DFS HR, 0.97; 95% CI, 0.90-1.05; OS HR, 1.03; 95% CI, 0.93-1.14). Severe obesity (BMI ≥40) was significantly associated with worse survival in AA patients (DFS HR, 2.04; 95% CI, 1.21-3.43; OS HR, 2.21; 95% CI, 1.03-4.75) but had no impact on that of EA patients. In the estrogen receptor-positive (ER+) and triple-negative breast cancer subgroups, BMI was significantly associated with worse outcomes only in those AA patients with ER+ disease. Within the AA group, BMI remained associated with worse survival regardless of the AA proportion.Higher BMI was statistically significantly associated with worse breast cancer outcomes in AA but not EA patients. This association was most significant for severe obesity and those with ER+ disease. These observations help define optimal populations for weight change interventions designed to affect disparities and survival in early-stage breast cancer.African ancestry and obesity are both risk factors for worse survival after early-stage breast cancer. Women of African descent are also disproportionately affected by obesity; however, it is unclear what impact body weight has on racial disparities in breast cancer. Data from a large phase 3 clinical trial in high-risk, early-stage breast cancer were used to determine how body weight affects survival outcomes in European versus African Americans. Study results demonstrate that a higher body mass index is associated with increased risk of breast cancer recurrence and worse survival in women of African ancestry but not in women of European ancestry.

Introduction: Paclitaxel induced peripheral neuropathy (TIPN) is one of the most important survivorship issues of cancer patients with the potential to substantially impact quality of life. TIPN can lead to dose reductions, early cessation, and has the potential to compromise treatment efficacy. We previously reported both rare (SBF2) and common germline (FCAMR) predictors for TIPN in patients of African descent through whole-exome sequencing (WES) and a genome-wide association study (GWAS), respectively, in the adjuvant, randomized phase III breast cancer trial, E5103. These predictors are now being evaluated in the prospective ECOG-ACRIN trial EAZ171 (NCT04001829). We have also previously reported our evaluation of common germline variants for patients of European descent through GWAS in E5103 with validation in another adjuvant breast cancer trial, E1199. Herein, we evaluated for rare variants that were associated with risk of TIPN in patients of European ancestry from WES in E5103. Methods: Gene-based rare variant analyses using SKAT were performed to compare select cases of severe TIPN (n=172) and controls without any evidence of TIPN (n=170) derived from E5103. Cases were defined as those with at least grade 3 TIPN and controls were optimally. matched by demographic and risk factors and had no reported evidence for TIPN of any grade. Germline WES was conducted using Ion Proton™ Sequencers from Life Technologies with an average >100X coverage of the exome. Rare variants with a minor allele frequency Citation Format: Fei Shen, Guanglong Jiang, Laura Gardner, Gloria Xue, Santosh Philips, Reynold Ly, Osei Wilberforce, Xi Wu, Erica Cantor, Chau Dang, Donald Northfelt, Todd Skaar, Kathy D. Miller, George Sledge, Bryan P Schneider. Cytochrome P450 reductase gene, POR, associated with paclitaxel induced peripheral neuropathy in patients of European ancestry from the adjuvant breast cancer trial, ECOG-ACRIN E5103 [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P1-08-02.

Anthracyclines are commonly used chemotherapies for breast cancer treatment, but can cause dose-related cardiotoxicities and lead to congestive heart failure (CHF) in 2% of patients. Several mechanisms of anthracycline’s cardiotoxic effect have been proposed, but the molecular pathogenesis is not fully understood. In addition, there are no clinically available biomarkers to predict cardiotoxicity. Previously we have identified and validated the association of a single nucleotide polymorphism (SNP), rs28714259 (G/A), with risk of anthracycline-induced CHF through genome-wide association study (GWAS) across three large phase III adjuvant breast cancer trials. rs28714259 (G/A) locates in a putative glucocorticoid receptor (GR) response element and the risk allele (A) is predicted to disrupt GR binding. The activation of GR signaling pathway by dexamethasone is known to protect cardiomyocytes from doxorubicin-induced apoptosis in rats. To investigate the role of rs28714259 in CHF post-GWAS, we set out to determine whether rs28714259 modulates GR signaling pathway through allele-specific GR enhancer activity. We cloned a 1kb DNA sequence on both sides of rs28714259, containing either the wildtype (G) or risk allele (A), into a luciferase reporter plasmid. Luciferase assay in iPSC-derived cardiomyocytes (iPSC-CMs) with GR activation by 100nM dexamethasone showed that cardiomyocytes transfected with wildtype construct had 60% increased activity compared to control vector with no enhancer. iPSC-CMs transfected with risk allele constructs did not show increased luciferase activity, suggesting that the A-allele disrupts GR-mediated transcriptional activation. Using electrophoretic mobility shift assay (EMSA) with nuclear extract from iPSC-CMs treated with dexamethasone, we observed a prominent band shift with either G- or A-allele probes. Furthermore, a supershift band was observed with GR antibody, confirming that GR indeed binds to the rs28714259 region. Notably, the band intensity of risk allele probes decreased by 50% compared to wildtype, suggesting weaker GR binding affinity to risk allele probes, consistent with reduced transcriptional activation. Finally, to identify genes differentially regulated by rs28714259 with anthracycline exposure, we performed RNA-Seq analysis on iPSC-CMs of each genotype. RNA-Seq data revealed that the top differentially regulated network was the death receptor pathway including: FADD, FAS, and Caspase-8; these effectors are known to induce apoptosis in response to doxorubicin. Moreover, 11 genes in the GR signaling pathway were also differentially regulated by rs28714259. Taken together, these findings suggest that the rs28714259 variant may possess allele-specific GR enhancer activity and differentially regulates genes involved in doxorubicin-induced apoptosis. Citation Format: Xi Wu, Gloria Xue, Fei Shen, Guanglong Jiang, Santosh Philips, Geneva Cunningham, Erica Cantor, Bryan P Schneider. Shedding light on the dark side of chemo: Post-GWAS functional studies of rs28714259 in anthracycline-induced cardiotoxicity [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 PS13-22.

Market drugs, such as Food and Drug Administration (FDA) or European Medicines Agency (EMA)-approved drugs for specific indications provide opportunities for repurposing for newer therapeutics. This potentially saves resources invested in clinical trials that verify drug safety and tolerance in humans prior to alternative indication approval. Protein arginine methyltransferase 5 (PRMT5) overexpression has been linked to promoting the tumor phenotype in several cancers, including pancreatic ductal adenocarcinoma (PDAC), colorectal cancer (CRC), and breast cancer (BC), making PRMT5 an important target for cancer therapy. Previously, we showed that PRMT5-mediated methylation of the nuclear factor (NF)-κB, partially contributes to its constitutive activation observed in cancers. In this study, we utilized an AlphaLISA-based high-throughput screening method adapted in our lab, and identified one FDA-approved drug, Candesartan cilexetil (Can, used in hypertension treatment) and one EMA-approved drug, Cloperastine hydrochloride (Clo, used in cough treatment) that had significant PRMT5-inhibitory activity, and their anti-tumor properties were validated using cancer phenotypic assays in vitro. Furthermore, PRMT5 selective inhibition of methyltransferase activity was confirmed by reduction of both NF-κB methylation and its subsequent activation upon drug treatment. Using in silico prediction, we identified critical residues on PRMT5 targeted by these drugs that may interfere with its enzymatic activity. Finally, Clo and Can treatment have exhibited marked reduction in tumor growth in vivo. Overall, we provide basis for pursuing repurposing Clo and Can as anti-PRMT5 cancer therapies. Our study offers potential safe and fast repurposing of previously unknown PRMT5 inhibitors into clinical practice.

The multifunctional protein Y-box binding protein 1 (YBX1), is a critical regulator of transcription and translation, and is widely recognized as an oncogenic driver in several solid tumors, including colorectal cancer (CRC). However, very little is known about the upstream or downstream factors that underlie YBX1′s regulation and involvement in CRC. Previously, we demonstrated that YBX1 overexpression correlated with potent activation of nuclear factor κB (NF-κB), a well-known transcription factor believed to be crucial in CRC progression. Here, we report a novel interaction between NF-κB, YBX1 and protein arginine methyltransferase 5 (PRMT5). Our findings reveal for the first time that PRMT5 catalyzes methylation of YBX1 at arginine 205 (YBX1-R205me2), an event that is critical for YBX1-mediated NF-κB activation and its downstream target gene expression. Importantly, when WT-YBX1 is overexpressed, this methylation exists under basal (unstimulated) conditions and is further augmented upon interleukin-1β (IL-1β) stimulation. Mechanistically, co-immunoprecipitation studies reveal that the R205 to alanine (A) mutant of YBX1 (YBX1-R205A) interacted less well with the p65 subunit of NF-κB and attenuated the DNA binding ability of p65. Importantly, overexpression of YBX1-R205A significantly reduced cell growth, migration and anchorage-independent growth of CRC cells. Collectively, our findings shed important light on the regulation of a novel PRMT5/YBX1/NF-κB axis through PRMT5-mediated YBX1-R205 methylation. Given the fact that PRMT5, YBX1 and NF-κB are all among top crucial factors in cancer progression, pharmacological disruption of this pivotal axis could serve as the basis for new therapeutics for CRC and other PRMT5/YBX1/NF-κB-associated cancers.

Background Colon cancer is one of the leading causes of cancer deaths in the USA and around the world. Molecular level characters, such as gene expression levels and mutations, may provide profound information for precision treatment apart from pathological indicators. Transcription factors function as critical regulators in all aspects of cell life, but transcription factors-based biomarkers for colon cancer prognosis were still rare and necessary. Methods We implemented an innovative process to select the transcription factors variables and evaluate the prognostic prediction power by combining the Cox PH model with the random forest algorithm. We picked five top-ranked transcription factors and built a prediction model by using Cox PH regression. Using Kaplan-Meier analysis, we validated our predictive model on four independent publicly available datasets (GSE39582, GSE17536, GSE37892, and GSE17537) from the GEO database, consisting of 925 colon cancer patients. Results A five-transcription-factors based predictive model for colon cancer prognosis has been developed by using TCGA colon cancer patient data. Five transcription factors identified for the predictive model is HOXC9, ZNF556, HEYL, HOXC4 and HOXC6. The prediction power of the model is validated with four GEO datasets consisting of 1584 patient samples. Kaplan-Meier curve and log-rank tests were conducted on both training and validation datasets, the difference of overall survival time between predicted low and high-risk groups can be clearly observed. Gene set enrichment analysis was performed to further investigate the difference between low and high-risk groups in the gene pathway level. The biological meaning was interpreted. Overall, our results prove our prediction model has a strong prediction power on colon cancer prognosis. Conclusions Transcription factors can be used to construct colon cancer prognostic signatures with strong prediction power. The variable selection process used in this study has the potential to be implemented in the prognostic signature discovery of other cancer types. Our five TF-based predictive model would help with understanding the hidden relationship between colon cancer patient survival and transcription factor activities. It will also provide more insights into the precision treatment of colon cancer patients from a genomic information perspective.

Background While several multigene signatures are available for predicting breast cancer prognosis, particularly in early stage disease, effective molecular indicators are needed, especially for triple-negative carcinomas, to improve treatments and predict diagnostic outcomes. The objective of this study was to identify transcriptional regulatory networks to better understand mechanisms giving rise to breast cancer development and to incorporate this information into a model for predicting clinical outcomes. Methods Gene expression profiles from 1097 breast cancer patients were retrieved from The Cancer Genome Atlas (TCGA). Breast cancer-specific transcription regulatory information was identified by considering the binding site information from ENCODE and the top co-expressed targets in TCGA using a nonlinear approach. We then used this information to predict breast cancer patient survival outcome. Result We built a multiple regulator-based prediction model for breast cancer. This model was validated in more than 5000 breast cancer patients from the Gene Expression Omnibus (GEO) databases. We demonstrated our regulator model was significantly associated with clinical stage and that cell cycle and DNA replication related pathways were significantly enriched in high regulator risk patients. Conclusion Our findings demonstrate that transcriptional regulator activities can predict patient survival. This finding provides additional biological insights into the mechanisms of breast cancer progression.

Background: The study of live human neurons has been hindered due to the complexity and potential irreversible damage to the patient during biopsy. However, reprogramming of adult human somatic cells into induced pluripotent stem cells (iPSCs) has proved to be a novel method in the study of the pathophysiology of disease and therapeutic targets of the human nervous system. There are several approaches, and the optimum time (i.e., passage number) to generate highly pure cultures is being studied. Therefore, our laboratory has investigated the effect of passage number on culture contaminants with non-neuronal cell types. Methods: Peripheral blood mononuclear cells (PBMCs) were isolated from whole blood from three cell lines and reprogrammed into iPSCs. Each cell line consisted of three samples that were analyzed after low (5-10), middle (20-26), and high (30-38) number of passages. Cells were maintained in an induction medium for eight days. On day nine, cells were dissociated and replated in a maintenance medium. On day 33, total RNA was extracted from cells. Normalized values for non-neuronal cell marker genes were compared using paired Student’s t-tests and two-way ANOVA, with the cell line and passage number as independent variables. P-values less than 0.05 were considered significant. Results: Our results showed that lower passage number was associated with decreased astrocyte and chondrocyte marker expression. High passage number was associated with decreased oligodendrocyte and glial precursor marker expression. Of the fibroblast markers evaluated, there were similar trends of expression between all three groups. There was no significant difference in microglial cell marker gene expression between all three groups. Conclusion and Potential Impact: Low gene expression suggests a purer culture. According to these results, as passage number increases, there is more contaminants with oligodendrocytes and glial precursor cells. Conversely, with low passage numbers, there are more contaminants with astrocytes and chondrocytes. Future studies will identify the impact of these non-neuronal contaminants and implications on research.

Background: Taxane-induced peripheral neuropathy (TIPN) is the most devastating survivorship issue for patients receiving therapy. Dose reductions due to TIPN in the curative setting lead to inferior outcomes for African American patients, as prior research has shown that this group is more susceptible to developing severe neuropathy. The mechanistic underpinnings of TIPN, however, have not been entirely elucidated. While it would be appealing to use primary tissue to study the development of TIPN, procuring nerves from patients is not realistically feasible, as nerve biopsies are painful and may result in permanent damage. Therefore, our laboratory has investigated paclitaxel-induced neuronal morphological and molecular changes using an ex vivo model of human-induced pluripotent stem cell (iPSC)-derived neurons.Methods: iPSCs are undifferentiated and endlessly dividing cells that can be generated from a patient’s somatic cells, such as peripheral blood mononuclear cells (PBMCs). We successfully reprogrammed PBMCs into iPSCs using the Erythroid Progenitor Reprograming Kit (STEMCell TechnologiesTM); pluripotency was verified by flow cytometry analysis. iPSCs were then induced into neurons using a differentiation protocol that bypasses the neural progenitor stage and uses selected small-molecule modulators of key signaling pathways (SMAD, Notch, FGFR1 inhibition and Wnt activation). Results: Flow cytometry analysis revealed expression of core pluripotency transcription factors Nanog, Oct3/4 and Sox2 in iPSCs overlaps with commercially purchased pluripotent cell line UCSD064i-20-2. Trilineage differentiation of iPSCs was confirmed with immunofluorescent imaging with germ-layer-specific markers; Sox17 and ExoA2 for ectoderm, Nestin and Pax6 for mesoderm, and Ncam and Brachyury for endoderm. Sensory neuron markers, β-III tubulin and Peripherin were applied to stain the cells for the maturity of iPSC-derived neurons. Patch-clamp electrophysiology and calcitonin gene-related peptide (CGRP) release data supported functionality of the induced neurons and provided insight into the timing for which downstream assays could be performed (week 4 post-induction). We have also performed a cell viability assay and fluorescence-activated cell sorting (FACS) using four cell-surface markers (CD184, CD44, CD15, and CD24) to select a neuronal population. At least 70% of the cells were viable in the isolated neuron population. Conclusion: We have found that these iPSC-derived neurons recapitulate mature neuronal phenotypes and demonstrate functionality. Thus, this represents a patient derived ex vivo neuronal model to investigate the molecular mechanisms of clinical TIPN. Citation Format: Geneva Cunningham, Erica Cantor, Xi Wu, Fei Shen, Guanglong Jiang, Santosh Philips, Casey Bales, Yucheng Xiao, Theodore R. Cummins, Jill C. Fehrenbacher, Bryan P. Schneider. Modeling taxane-induced peripheral neuropathy ex vivo using patient-derived neurons [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P5-07-09.