Citations

Abstract Although the majority of patients with endometrial cancer (EC) are diagnosed early when disease is confined in the uterus and prognosis is excellent, there is a subset of patients with advanced, metastatic, recurrent or persistent after surgery disease with dismal prognosis. Chemotherapy has a critical role for these patients. Carboplatin (carbo) and paclitaxel (taxol) is the standard first-line chemotherapy in EC with response rates as low as 50% and even lower for recurrent disease. Furthermore, many patients will eventually relapse with chemo-resistant disease and very poor prognosis. As the chemotherapeutic options for these patients are limited and of questionable efficacy, it is of paramount importance that novel agents are identified to increase or restore chemo-sensitization to platinum-based chemotherapy. Quinacrine (QC) is an inexpensive antimalarial drug with a predictable safety profile which recently surfaced as a promising anticancer agent thought to be associated with decreased risk of developing chemo-resistance through targeting multiple pathways simultaneously. While prior investigators have provided evidence that QC exerts strong anticancer activity against a wide range of solid tumors, there are no studies focused on QC in EC. In our study, QC exhibited strong synergism in vitro when combined with cisplatin, carbo or taxol with the highest level of synergism being observed in the most chemo-resistant EC cell line. Neither QC monotherapy (QC every other day for 3 weeks) nor standard chemotherapy (carbo+taxol for 3 cycles, on days 3, 7, 11) significantly delayed tumor growth in the mouse xenografts. Only combination (standard chemo + QC every other day during carbo+taxol treatment) and maintenance (combination regimen followed by QC every other day until end of study) significantly augmented carbo+taxol antiproliferative effect as evidenced by the significant decrease in tumor burden and delayed tumor growth in xenografts. Combination treatment was associated with a 14-day prolongation of median survival compared to carbo+taxol (68 vs. 54 days). Maintenance therapy with QC was proven superior to carbo+taxol as it resulted in long-term stabilization of disease and further prolongation of overall survival; in fact, median survival in the maintenance group was not reached as the mice were surviving at the end of study. QC alone, in combination with carbo+taxol or as maintenance was well-tolerated with no issues of weight loss compared to control mice. A yellow skin discoloration was noted during QC treatment which was entirely reversible within few days upon QC discontinuation. In conclusion, QC exhibited significant antitumor activity against EC cell lines in vitro and was successful in stabilizing disease and prolonging survival as maintenance therapy in chemo-resistant EC mouse xenografts. This data suggests that QC may be an important adjunct to standard chemotherapy for patients with recurrent EC. Citation Format: Eleftheria Kalogera, Debarshi Roy, Ashwani Khurana, Susmita Mondal, Xiaoping He, Sean C. Dowdy, Viji Shridhar. Quinacrine in endometrial cancer: repurposing an old antimalarial drug. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 261.

Abstract Women who carry a pathogenic mutation in the BRCA1 or BRCA2 gene are at high risk of breast (BC) and ovarian cancer (OC). Their clinical management usually includes invasive risk-reducing interventions with substantial side effects. Improved personalized cancer risk estimates may help to identify women at particularly high risk or with high risk of disease at early ages who may benefit from early intervention as well as women at lower risk who may opt to delay surgery or chemoprevention. Genome-wide association studies have identified >100 common genetic variants that are associated with BC or OC risks. Several of these variants are also individually associated with risk of BC or OC for BRCA1 and BRCA2 mutation carriers. However, no study has evaluated the combined effects of all the known common genetic variants on BC or OC risk for BRCA1/2 mutation carriers. We constructed polygenic risk scores (PRS) based on results of genetic association studies conducted in the general population. Each PRS was formed by the sum of the number of risk alleles across the variants weighted by their log-Odds Ratio estimate from population-based studies of BC or OC. We investigated 3 PRS for BC (overall, estrogen receptor (ER) positive, and ER-negative) and one PRS for OC. We used data for 15,252 BRCA1 and 8,211 BRCA2 female carriers. The association of each PRS with BC or OC risk was evaluated using a weighted cohort analysis with time to diagnosis as the outcome and estimated the Hazard Ratios (HR) per standard deviation increase in the PRS. All PRS were significantly associated with cancer risks for BRCA1/2 carriers. The PRS for ER-negative BC displayed the strongest association with BC risk in BRCA1 carriers (HR = 1.29 [1.25-1.33], p = 8×10−64). In BRCA2 carriers, the strongest association was seen for the overall BC PRS (HR = 1.26 [1.21-1.31], p = 3×10−27). The OC PRS was strongly associated with OC risk for both BRCA1 and BRCA2 carriers. These relative risks translate to large differences in absolute risks for carriers: e.g., the OC risk was 6% by age 80 for BRCA2 carriers at the 10th percentile of the OC PRS compared with 19% risk for those at the 90th percentile of PRS. Our findings demonstrate that BC and OC PRS derived from studies in the general population are predictive of cancer risks in BRCA1 and BRCA2 carriers. Incorporation of the PRS into risk prediction models would improve risk prediction and hence inform decisions on cancer risk management. Citation Format: Karoline Kuchenbaecker, Jacques Simard, Kenneth Offit, Fergus J. Couch, Douglas F. Easton, Georgia Chenevix-Trench, Antonis C. Antoniou, Consortium of Investigators of Modifiers of BRCA1/2. Predicting breast and ovarian cancer risks for BRCA1 and BRCA2 mutation carriers using polygenic risk scores. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 2598.

Abstract Multigene panel testing (MGPT) for hereditary cancer is increasing in popularity in the USA. Many panels include genes identified as hereditary breast and/or ovarian cancer (HBOC) genes despite limited data regarding the precise cancer risks associated with mutations in these genes. Here we report on results from BreastNext and OvaNext panel testing of 20 genes (ATM, BARD1, BRCA1, BRCA2, BRIP1, CDH1, CHEK2, MLH1, MRE11A, MSH2, MSH6, NBN, NF1, PALB2, PMS2, PTEN, RAD50, RAD51C, RAD51D, TP53) in a cohort of 15,083 individuals. The majority of individuals were from high-risk breast and/or ovarian (Br/Ov) cancer families, with 92.4% of all probands meeting National Comprehensive Cancer Network HBOC testing criteria. Pathogenic mutations were identified in 9.4% of the overall cohort. To estimate gene-specific breast and ovarian cancer risks, case-control analyses were performed comparing the frequencies of pathogenic mutations from Caucasian breast or ovarian cancer cases from BreastNext and OvaNext with frequencies from Caucasian, non-Finnish, non-TCGA controls from the Exome Aggregation Consortium (ExAC) database. Mutations in the well studied ATM and CHEK2 genes were associated with moderate risks (OR>2) of breast cancer and mutations in PALB2 were associated with high-risks (OR>5) of breast cancer, consistent with previous reports. In addition, the study suggested that pathogenic mutations in MSH6, RAD51D, CDH1, and NF1 are associated with moderate to high risks of breast cancer. In contrast, RAD51C, RAD51D, and BRIP1 mutations were associated with high risks of ovarian cancer, PALB2 mutations were associated with moderate risks, but ATM and CHEK2 mutations were not associated with increased ovarian cancer risk. In addition, modeling of missense mutations in the predisposition genes using in silico prediction algorithms suggested that missense mutations in CDH1, CHEK2, MSH2, and MSH6 are associated with moderate risks of breast cancer and missense mutations in RAD51C increase risks of ovarian cancer. This large breast and ovarian cancer case-control analysis provides useful data for many predisposition genes previously lacking risk estimates, and should prove useful for clinical risk management of patients after clinical panel testing. Citation Format: Fergus J. Couch, David E. Goldgar, Steven N. Hart, Emily Hallberg, Raymond Moore, Huong Meeks, Robert Huether, Holly LaDuca, Elizabeth Chao, Jill Dolinsky. Breast and ovarian cancer risks associated with cancer predisposition gene mutations identified by multigene panel testing. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 2597.

Abstract Percent mammographic density (PMD) is a risk factor for estrogen receptor (ER)-positive and ER-negative invasive breast cancer (BC). Gene expression profiling has identified molecular signatures that classify invasive BC into distinct subtypes that vary in their clinical behavior, response to treatment and likely, etiology. Immunohistochemical (IHC) staining of tumor sections using antibody panels can be used to classify these ‘intrinsic’ molecular subtypes. We evaluated whether density measures [PMD, absolute dense area (DA) and non-dense area (NDA)], are associated equally with all ‘intrinsic’ molecular subtypes. Pooled analysis of six cohort or case-control studies included 3492 women with invasive BC and 10,148 without, who underwent screening mammography a median 4 years prior to diagnosis (for cases). PMD, DA, and NDA were assessed from digitized film-screen mammograms using a computer-assisted thresholding technique, and categorized as 0-10%, 11-25%, 26-50% and 51%+ (PMD) or into quartiles (DA and NDA). Receptor status was abstracted from pathology records and supplemented by IHC staining. We classified tumors as Luminal A (ER+ and/or PR+ and HER2- and grade 1 or 2), Luminal B (ER+ and/or PR+ and HER2+ or Luminal A and grade 3), HER2 expressing (HER2+/ER-/PR-) and triple negative (TN) (ER-/PR-/HER2-). For TN, we also differentiated basal-like tumors (positive for EGFR and/or CK 5/6) from unclassified (negative on both markers). We used polytomous logistic regression to calculate the odds ratio (OR) of each ‘intrinsic’ subtype of BC by categories of PMD, DA or NDA, adjusting for age, body mass index and study. We tested for statistical heterogeneity of associations by subtype. Of 3492 invasive BC cases, 2217 (63%) were classified as Luminal A, 747 (21%) as Luminal B, 159 (5%) as HER2 expressing, and 369 (11%) as TN. Of TN, 203 were evaluated for CK 5/6 and EGFR, with 167 (82%) classified as basal-like and 36 (18%) unclassified. PMD was associated with BC risk across all subtypes. For Luminal A, compared to women with 11-25% PMD (reference), women with 0-10% had a reduced risk of BC (OR = 0.63 [95% confidence interval: 0.55, 0.74]) while women with 26-50% had an OR = 1.5 [1.3, 1.7] and women with 51%+ had the highest risk, OR = 2.3 [2.0, 2.7]. Similar BC associations were seen across PMD categories when comparing the five subtypes (P-heterogeneity = 0.63). Similar trends were seen for DA and BC across the five subtypes (P-het = 0.25). NDA was inversely associated with BC across subtypes, and there was suggestion of a stronger inverse trend among HER2-expressing BC compared to other subtypes (P-het = 0.09). Our results suggest mammographic density measures are associated with all ‘intrinsic’ molecular subtypes. However, NDA may be more strongly inversely associated with HER2-expressing than other subtypes. Understanding the importance of density measures for BC subtypes has significance for subtype-specific risk models. Citation Format: Aaron D. Norman, Rulla M. Tamimi, Christopher G. Scott, Kimberly A. Bertrand, Matthew R. Jensen, Daniel W. Visscher, Fergus J. Couch, John Shepherd, Bo Fan, Yunn-Yi Chen, Lin Ma, Andrew Beck, Vernon S. Pankratz, Karla Kerlikowske, Celine M. Vachon. Association of mammographic density measures and breast cancer ‘intrinsic’ molecular subtypes. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 2593.

Abstract The increasing adoption of electronic health records (EHRs) in the United States, spurred largely by the Centers for Medicare and Medicaid's EHR Meaningful Use Incentive Program, has potential to increase patient engagement and improve quality of healthcare delivered, especially for those diagnosed with cancer or other chronic conditions. Meaningful Use Stage 2 criteria require that providers give patients the ability to view, download and transmit their medical records; this is of particular importance for cancer patients, whose care is often delivered by teams of different specialists and for whom accurate communication of medical and treatment history between patients and providers is critical. To investigate whether there is a difference in patient access to and utilization of EHRs based on history of cancer diagnosis, we analyzed data from the National Cancer Institute's Health Information National Trends Survey (HINTS 4, Cycle 4). The survey was fielded between July and November 2014 via postal mail; 3,370 complete surveys were returned (response rate = 34.4%). Of the respondents, 6.4% reported having a prior diagnosis of a cancer other than non-melanoma skin cancer. Among those with a self-reported history of cancer, 48.2% reported being offered access to their EHRs and 30.8% accessed their EHRs at least once, compared with those who did not have cancer (41.8% and 27.2%, respectively; p > 0.05). After adjusting for sociodemographic and healthcare-related characteristics, no significant difference was found in the odds of being offered EHR access based on cancer diagnosis status. Those with a history of cancer had a statistically significantly higher odds of accessing their EHRs at least once compared to those without a diagnosis of cancer after adjustment, (OR = 1.75, 95% CI = 1.08-2.81, p = 0.02). Other significant predictive factors included in the model were age, education, health insurance, having a regular provider, and internet access (p < 0.05). A borderline association was also seen between a previous cancer diagnosis and increased frequency of EHR access (p = 0.08). These findings suggest that, if offered access to their records, those with a diagnosis of cancer have higher odds of using their EHRs; further investigation is needed to determine how patients are using EHRs to help manage their care, the impact of this use on cancer-specific outcomes, and associations with quality of care. Citation Format: Alexandra J. Greenberg, Angela Falisi, Lila J. Finney Rutten, Wen-Ying Sylvia Chou, Richard P. Moser, Bradford W. Hesse. Cancer diagnoses and patient use of electronic health records: results from the health information national trends survey. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 2573.

Abstract Several papers have implicated mutations in the AT-rich interactive domain containing protein 1B (ARID1B) in carcinoma formation in multiple tissue types, including the lung. The ARID1B protein functions as part of SWI/SNF, a multi-subunit chromatin remodeling complex that repositions nucleosomes and may act as a tumor suppressor in cancer. ARID1B is located in a region in 6q that was previously shown to have strong evidence of linkage with lung cancer risk. As it is one of the more promising candidates within the target region, this study presents the viability of ARID1B as a candidate gene for familial lung cancer. Here, we chose individuals from families in our previous linkage study that showed the strongest linkage signal on 6q. 75 individuals from 9 families were sequenced for 37Mb of chromosome 6 from 130Mb to 167Mb using Illumina technology and a custom Agilent kit. Genotypes were imported into GoldenHelix SVS 7 for quality control and dropped if read depth < 10, quality score < 10 or a quality score to read depth ratio < 0.5. Variants with more than 1 Mendelian error were dropped. Variants with a single Mendelian inconsistency were dropped only for that family. Two-point parametric linkage analysis at theta = 0 was performed using R and an implementation of the Elston-Stewart algorithm in the paramlink package using a penetrance model of 0.01/0.1/0.1 (dd/Dd/DD) and a disease allele (D) frequency of 0.01. Family 102 showed strong evidence for linkage near ARID1B. The highest LOD score (1.34) out of all sequenced variants was located near this gene in a known conserved intergenic region between ARID1B and NOX3. Four other LOD scores > 0.7 were found in the intergenic region between these two genes. Two are transcription factor binding sites; two are conserved genomic elements. We also observed two linked intronic variants of ARID1B in this family; an enhancer (LOD = 0.89) and a transcribed region (LOD = 0.73). Two other families (47 and 59) displayed evidence of linkage in ARID1B. Here, the interest is not the value of the LOD scores (top scores were 0.64 and 0.54), but the centering of the linked haplotype around the gene. Family 47 has 60 variants with LODs between 0.64 and 0.61; 45 located within ARID1B or known regulatory regions. Family 59 has 61 variants with LODs between 0.54 and 0.51; 29 located within ARID1B or known regulatory regions The variants appear to be spread evenly throughout ARID1B, suggesting the presence of linked haplotypes. Analyses are currently underway to reconstruct possible haplotypes in these families. The results of this study show that variants in the ARID1B gene at least partially account for the linkage signal on 6q in three of the nine most strongly linked families in our cohort and thus we believe that ARID1B is a plausible candidate gene for further studies involving familial lung cancer. Replication studies using 27 new extended families are currently underway to confirm this initial result. Citation Format: Anthony M. Musolf, Claire L. Simpson, Mariza de Andrade, Diptasri Mandal, Colette Gaba, Ping Yang, Ming You, Elena Y. Kupert, Marshall W. Anderson, Ann G. Schwartz, Susan M. Pinney, Christopher I. Amos, Joan E. Bailey-Wilson. Chromatin remodeling gene ARID1B is linked to familial lung cancer. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 2542.

Abstract Drug resistance and frequent tumor relapses are the major obstacles in glioblastoma therapy, and recurrent tumors are practically incurable. We previously reported that insulin receptor substrate 1 (IRS-1), which is a typical signaling molecule for insulin and insulin-like growth factor 1 receptors, can translocate to nucleus, and that nuclear IRS-1 (nIRS-1) was found in different tumor cells, including glioblastomas. To unravel its function, we employed glioblastoma cell culture, animal models, and clinical samples. Using confocal imaging, molecular cloning, subcellular fractionation, mass spectrometry, gene expression analysis, and different approaches to verify protein-protein interactions, we demonstrate for the first time that nIRS-1 can form complex nuclear structures in a restricted number of cancer cells in glioblastoma biopsies and in intracranial glioblastoma xenografts. We also demonstrated the formation of highly organized ring-like structures in several cell lines, following ectopic expression of IRS-1 cloned in frame with nuclear localization signal (NLS-IRS-1). In these nuclear structures IRS-1 localizes at the periphery, and the core of the structure harbors a key autophagy protein, LC3; however, other autophagy proteins or biological membranes were not detected. In living cells expressing NLS-IRS-1-GFP fusion protein, IRS-1/LC3 structures are highly dynamic. They rapidly exchange IRS-1 molecules with nucleoplasm and interact with other nuclear complexes including BMI1-positive Polycomb bodies, PML bodies and Cajal bodies. Importantly, clones and mixed populations of cells expressing the NLS-IRS-1 and capable of forming the IRS-1/LC3 ring-like structures undergo extensive remodeling of gene expression, which suggests a transition to stem-like phenotype and associated resistance to several different anticancer drugs, including temozolomide. This is the first demonstration of IRS-1/LC3 nuclear complexes, which are highly dynamic and may play a role in epigenetic remodeling of glioblastoma cells towards stemness. Further studies are required to determine detailed molecular composition and to explain how these new nuclear structures function. Citation Format: Adam Lassak, Dorota Wyczechowska, Anna Wilk, Adriana Zapata, Mathew Dean, Luis DelValle, Jann N. Sarkaria, Augusto Ochoas, Francesca Peruzzi, Krzysztof Reiss. IRS-1/LC3 nuclear structures and glioblastoma drug resistance. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 2520.

Abstract Individual tumors, including the aggressive and difficult to treat triple-negative (ER-/PR-/HER2-) breast cancers (TNBCs) are heterogeneous collections of cells with multiple subclonal populations each contributing to the tumor. While subclonal heterogeneity is likely responsible for the development of drug resistance, identification of how tumor cell populations change over time has been difficult, largely because of the challenges in resampling tumor tissue at close time points. Here we quantify tumor evolution in human patient-derived xenografts implanted into NSG mice, which we use to test subclonal heterogeneity as a function of location within a tumor, propagation time, and drug treatment. We used high-depth (∼400x) sequencing of a targeted panel of 358 genes to quantify somatic mutation allele frequencies from 6 spatially-separated and 8 temporally-propagated xenograft samples derived from the same TNBC patient tumors. Samples ranged in age from 2-4 months post-engraftment. Although we observed a few low frequency mutations distinguishing samples, overall we found that allele frequencies of somatic mutations were well-preserved on this time scale. We then generated replicate xenografts from the same patient tumor and treated them respectively with cisplatin, doxorubicin, cyclophosphamide, docetaxel, or vehicle control for 25 days. Although again somatic mutations showed few differences in allele frequency across samples, substantial variations were seen when data were analyzed for copy number alterations. To confirm these effects we repeated the treatments for xenografts derived from two additional TNBC patients. Again we observed strong changes in tumor heterogeneity at the copy number level. This effect was particularly, but not exclusively, apparent in tumors with the greatest response to therapy. We further verified these measurements through Sanger and digital PCR sequencing on the treated mice and other mice in the same cohorts. Using a multi-sample xenograft propagation, dissection, sequencing, and computational analysis protocol, we have shown that tumor subpopulation changes in response to treatment can be quantified and distinguished from spatial or temporal effects, even for treatment time courses as short as 1 month. In triple negative breast cancer these variations are most apparent at the level of copy number variation. Our study demonstrates how patient-derived xenografts can provide detailed resolution of tumor population evolution during the manifestation of resistance. Citation Format: Hyunsoo Kim, Pooja Kumar, Francesca Menghi, Joshy George, Guru Ananda, Susan Mockus, Chengsheng Zhang, Nicholas Larson, Henry C. Chen, Yan Yang, James Keck, R. Krishnamurthy Karuturi, Charles Lee, Carol Bult, Edison Liu, Jeffrey H. Chuang. Evolution during propagation and treatment of patient-derived triple negative breast cancer xenografts. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 2411.

Abstract Introduction. First-line chemoimmunotherapy (CIT) has significantly increased the complete remission (CR) rate for patients with CLL; however, relapse is a common event and strategies aimed at eradicating disease more effectively are needed. Vascular Epithelial Growth Factor (VEGF) plays a crucial role in the cross talk between CLL B cells and their microenvironment. In addition low baseline VEGF levels predict a better response to CIT. Testing the combination of an anti-VEGF agent with CIT was therefore assessed by us in upfront CLL patients. Methods. Here we report the results of a phase II open-label randomized trial comparing the combination of bevacizumab, an anti-VEGF monoclonal antibody, with pentostatin, cyclophosphamide and rituximab (PCR-B) to PCR alone as front-line therapy in previously untreated patients with CLL. VEGF, b-fibroblast growth factor (FGF), thrombospondin (TSP)-1, chemokine ligand (CCL)-3 and CCL-4 plasma levels were measured at baseline and at time of response assessment. Results. Between 01/2009 and 01/2013, 62 patients were accrued in the study, 32 in the arm A (PCR-B) and 30 in arm B (PCR alone). A higher rate of grade 3-4 cardiovascular toxicity was observed with the use of PCR-B (34% vs 0%, p<0.001): this included 7 cases of hypertension, 2 cases of congestive heart failure, 1 myocarditis, and 1 case of torsade de point. A higher CR rate (50% vs 33%, p = 0.21) and a significantly longer median progression-free (p = 0.04) and treatment-free (p = 0.05) survival were achieved with the use of PCR-B. No difference in chemokine kinetics was observed between the 2 arms, except for VEGF, which significantly increased after PCR-B. In the PCR-B arm, chemokine kinetics for CCL-3 (median drop 5.0 vs. median drop 31.8, respectively; p = 0.02) and CCL-4 (median drop 23.8 vs. median drop 120.9, respectively; p = 0.01) were significantly associated with achievement of CR. No significant correlations were found between cytokine plasma levels and responses for patients treated in the PCR only arm. Conclusions. The addition of bevacizumab to CIT is safe and effective, although associated with higher cardiovascular toxicity, in particular hypertension. The addition of bevacizumab produces higher CR rates, translating into improved progression-free survival, and is associated with decreased plasma levels of CCL-3 and CCL-4. Citation Format: PAOLO STRATI, TAIT D. SHANAFELT, BETSY LAPLANT, ADAM PETTINGER, CONNIE LESNICK, DANIEL NIKCEVICH, TIMOTHY CALL, WEI DING, CURTIS HANSON, NEIL KAY. The addition of bevacizumab to chemoimmunotherapy prolongs progression-free survival in patients with chronic lymphocytic leukemia (CLL) through modulation of the microenvironment. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 1423.

Abstract Resistance is one the main reason for overall decrease in survival of cancer patient treated with cisplatin in different types of cancer. Cisplatin kills cancer cells by various mechanisms, but mainly through formation of inter- and intra stand crosslinks of DNA. Different types of translesion polymerase including Polymerase kappa (POLK) are involved in repair of DNA lesions. We observed high expression levels of POLK in cisplatin resistant bladder and ovarian cancer cells compared to parental cells. Due to its low proof-reading activity POLK can incorporate 8-oxo-dGTP into DNA. The MTH1 protein (Nudix hydrolase- NUDT1) sanitizes oxidized dNTP pools to prevent incorporation of damaged bases during DNA replication. Recently we have generated MTH1 inhibitors that damage the DNA and induce cancer specific cell death through incorporation of more oxidized dNTPs. We found cisplatin resistant bladder cancer cells (NTUB1/P) were more sensitive to MTH1 inhibitors in comparison to parental NTUB1 cells. As POLK is involved in incorporation of 8-oxo-dGTP into DNA, we hypothesized that high expression levels of POLK in cisplatin resistant cells make them more sensitive to MTH1 inhibitors as more 8-oxo-dGTP would be incorporated into DNA, resulting in more DNA damage and cell death in comparison to parental cells. Indeed, we observes higher induction of cleaved-PARP, γH2AX, cleaved-Caspase 3 and more annexin v positive cells in cisplatin resistant NTUB1/P cells in comparison to parental NTUB1 cells upon treatment with MTH1 inhibitors. MTH1 inhibitor also significantly delays the NTUB1/P xenograft tumor growth in comparison to vehicle treatment in immunosuppressive mice. Knocking down POLK in cisplatin resistant NTUB1/P cells by siRNA resulted in decreased incorporation of 8-oxo-dGTP and sensitivity to MTH1 inhibitors compared to non target control cells. Overexpression of POLK in NTUB1 and NTUB1/P cells results in further sensitization to MTH1 inhibitors. In conclusion elevated levels of POLK in cisplatin resistance cells determines increased sensitivity towards MTH1 inhibitors. Thus MTH1 inhibitors can be a potential promising therapy for the treatment of cisplatin resistant tumors in patients. Citation Format: Kumar Sanjiv, Helge Gad, Sean Rudd, Rachel Hurley, Patric Herr, José Manuel Calderón Montaño, Oliver Mortusewicz, Tobias Koolmeister, Sylvain Jaques, Estefanía Burgos Morón, Andreas Hoglund, Te-Chang Lee, Martin Scobie, Scott Kaufmann, John Weroha, Ulrika Warpman Berglund, Andrea Wahner Hendrickson, Thomas Helleday. Polymerase kappa determines the sensitivity of MTH1 inhibitors to cisplatin-resistant cell. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 1260.