Kalli, Kimberly R.

Abstract Purpose: Here we assess whether molecular subtyping identifies biological features of tumors that correlate with survival and surgical outcomes of high-grade serous ovarian cancer (HGSOC). Experimental Design: Consensus clustering of pooled mRNA expression data from over 2,000 HGSOC cases was used to define molecular subtypes of HGSOCs. This de novo classification scheme was then applied to 381 Mayo Clinic HGSOC patients with detailed survival and surgical outcome information. Results: Five molecular subtypes of HGSOC were identified. In the pooled dataset, three subtypes were largely concordant with prior studies describing proliferative, mesenchymal, and immunoreactive tumors (concordance > 70%), and the group of tumors previously described as differentiated type was segregated into two new types, one of which (anti-mesenchymal) had downregulation of genes that were typically upregulated in the mesenchymal subtype. Molecular subtypes were significantly associated with overall survival (P < 0.001) and with rate of optimal surgical debulking (≤1 cm, P = 1.9E−4) in the pooled dataset. Among stage III-C or IV Mayo Clinic patients, molecular subtypes were also significantly associated with overall survival (P = 0.001), as well as rate of complete surgical debulking (no residual disease; 16% in mesenchymal tumors compared with >28% in other subtypes; P = 0.02). Conclusions: HGSOC tumors may be categorized into five molecular subtypes that associate with overall survival and the extent of residual disease following debulking surgery. Because mesenchymal tumors may have features that were associated with less favorable surgical outcome, molecular subtyping may have future utility in guiding neoadjuvant treatment decisions for women with HGSOC. Clin Cancer Res; 23(15); 4077–85. ©2017 AACR.

Background The rarity of mutations in PALB2, CHEK2 and ATM make it difficult to estimate precisely associated cancer risks. Population-based family studies have provided evidence that at least some of these mutations are associated with breast cancer risk as high as those associated with rare BRCA2 mutations. We aimed to estimate the relative risks associated with specific rare variants in PALB2, CHEK2 and ATM via a multicentre case-control study. Methods We genotyped 10 rare mutations using the custom iCOGS array: PALB2 c.1592delT, c.2816T>G and c.3113G>A, CHEK2 c.349A>G, c.538C>T, c.715G>A, c.1036C>T, c.1312G>T, and c.1343T>G and ATM c.7271T>G. We assessed associations with breast cancer risk (42 671 cases and 42 164 controls), as well as prostate (22 301 cases and 22 320 controls) and ovarian (14 542 cases and 23 491 controls) cancer risk, for each variant. Results For European women, strong evidence of association with breast cancer risk was observed for PALB2 c.1592delT OR 3.44 (95% CI 1.39 to 8.52, p=7.1×10−5), PALB2 c.3113G>A OR 4.21 (95% CI 1.84 to 9.60, p=6.9×10−8) and ATM c.7271T>G OR 11.0 (95% CI 1.42 to 85.7, p=0.0012). We also found evidence of association with breast cancer risk for three variants in CHEK2, c.349A>G OR 2.26 (95% CI 1.29 to 3.95), c.1036C>T OR 5.06 (95% CI 1.09 to 23.5) and c.538C>T OR 1.33 (95% CI 1.05 to 1.67) (p≤0.017). Evidence for prostate cancer risk was observed for CHEK2 c.1343T>G OR 3.03 (95% CI 1.53 to 6.03, p=0.0006) for African men and CHEK2 c.1312G>T OR 2.21 (95% CI 1.06 to 4.63, p=0.030) for European men. No evidence of association with ovarian cancer was found for any of these variants. Conclusions This report adds to accumulating evidence that at least some variants in these genes are associated with an increased risk of breast cancer that is clinically important.

Abstract Circulating tumor DNA (ctDNA) provides great potential for the non-invasive clinical assessment of tumor burden. We developed a monitoring protocol using next generation mate-pair sequencing to identify chromosomal rearrangement signatures in primary tumors to follow ctDNA in blood. Primary tumors of 10 patients with ovarian cancer were sequenced, and individualized tumor-specific panels were designed to detect the junctions in ctDNA. A novel algorithm was developed and applied to data generated by quantitative PCR to calculate the percent of ctDNA. Selected junctions, some with potential as therapeutic targets, were detected in pre-surgically drawn blood in eight out of ten patients. Of these eight, three demonstrated the continued presence of circulating tumor DNA post-surgery, and five had undetectable levels, consistent with their documented presence or absence of disease. The detection of somatic junctions derived from ctDNA could be an effective way to monitor ovarian cancer patients for relapse and therapy response. Citation Format: Faye R. Harris, Irina Kovtun, James Smadbeck, Francesco Multinu, Aminah Jatoi, Kimberly R. Kalli, Stephen J. Murphy, Geoffrey C. Halling, Farhad Kosari, Sarah H. Johnson, Andrea Mariani, George Vasmatzis. Quantification of somatic chromosomal rearrangements in circulating cell-free DNA from ovarian cancers. [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 440.

Abstract Background: Little transcriptomic research has compared epithelial ovarian cancer (EOC) histological subtypes. We set out to characterize the transcriptomes of high-grade serous carcinomas (HGSC) and endometrioid carcinomas (EC), which make up around 70% and 20% of EOC tumors, respectively, and have some histopathological similarities. Methods: Fresh frozen tumors from EOC patients seen at the Mayo Clinic (30 EC and 62 HGSC) were used. 1ug RNA riboZero was used for library preparation using the Illumina TruSeq kit and sequenced on a HiSeq 2000 machine. Reads were aligned using TopHat2 followed by quantification of abundances using RSEM and differential expression analysis with edgeR. We analyzed transcriptomes, conducted pathway analyses, and summarized key candidate gene sets. Expressed SNVs (eSNVs) from the RNA-seq data were determined using GATK and RVboost. Results: The analysis found 699 genes with FDR < 1×10-5 for differential expression between HGSC and EC, with most genes being up-regulated in EC. The top most associated genes were TPH1, MAP2K6, KLK2, ADAM23, TESC and TRAF3IP2 (p<10-22). Pathway analysis of the genes up-regulated in EC revealed enrichment of the “basal cell carcinoma signaling pathway” (p = 1.2×10-5). Within 1 Mb of the 25 known EOC risk loci, we observed higher expression in HGSC for RSPO1 and HPSE (p <5×10-7). For genes functionally related to EOC, we observed in HGSC up-regulation (*p < 10-5, ⁁p<0.003) for FOXM1⁁, CDKN2A⁁, CCNE1*, CCND2⁁, PIK3CA*, BRCA2⁁, BIRC5⁁, MMP9⁁, FANCD2⁁, and MAML2⁁. In contrast, we found up-regulation in EC for MDM2*, KLK4*, BCL2⁁, CCND1*, ANXA4*, CDH1⁁, MMP7⁁, and MAML3⁁. We also identified 204 eSNVs (44 non-synonymous) associated with EC v HGSC subtype (p<10-4); this included an exonic TRAF3IP2 eSNV (66% EC, 13% HGSC, p = 4×10-7, chr6:111877117). Discussion: Using one of the largest sets of identically processed fresh-frozen EOC tumors, some patterns emerged among the numerous EC v HGSC transcriptomic differences. TPH1, up-expressed in EC, is regulated by SOX4 which was also up-regulated in EC. Two sets of genes related to Kallikreins serine proteases were differentially expressed, including KLK2 which is known to regulate EGFR and pro-inflammatory cytokines and is regulated by MYC. Lastly, TRAF3IP2 encodes for a protein involved in regulating cytokines through members of the NFKB pathway. Conclusions: These findings suggest important biological insights into one of the rarer EOC histologies and may aid in the development of targeted treatment options. Research is on-going to incorporate additional features (e.g., DNA methylation, copy number) into a “systems biology” framework to better understand the molecular differences between EOC histologies. Citation Format: Brooke L. Fridley, Junqiang Dai, Rama Raghavan, Chen Wang, Pengcheng Lu, Stacey Winham, Madalene Earp, Kate Lawrenson, Simon A. Gayther, Kimberly R. Kalli, Ellen L. Goode. Transcriptome characterization of high grade serous and endometrioid epithelial ovarian cancer tumors. [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 1833.

Abstract Purpose: Somatic mosaic mutation in the PPM1D gene have been associated with risk of breast and ovarian cancer. Somatic mosaic mutations in blood cells may be associated with older age and chemotherapy exposure. We wanted to determine if somatic mosaic mutations in PPM1D and in other genes are associated with older age and repeated exposure to chemotherapy, rather than a contributor to risk of disease. Experimental design: We used targeted capture and massively parallel genomic sequencing to sequence DNA from PBMCs from affected patients for PPM1D as well as 60 other DNA repair genes. For a number of samples with PPM1D mutations, we re-sequenced at greater depth on patients where PBMCs that were collected at diagnosis and recurrence. Results: We identified somatic mosaic mutations in exon 6 of PPM1D in 4 out of 474 (0.8%) individuals that were newly diagnosed and had no previous chemotherapy, in 3 out of 29 (10%) individuals newly diagnosed but receiving chemotherapy and in 58 of 274 (21%) individuals with relapsed platinum resistant ovarian cancer (p<0.0001). The presence of PPM1D mutations in exon 6 was strongly associated with more advanced age (p=0.011, Wilcoxon test) and more than one chemotherapy regimen (p=0.026, Fisher's exact test). In paired blood samples from 13 patients, PPM1D mutations present at relapse were either not detected or detected at a lower percentage compared to blood obtained soon after diagnosis. Somatic mosaic mutations were also identified in TP53 in 7 of 274 (2.5%) women with relapsed platinum resistant cancer. In one of these cases, we had an earlier blood sample from diagnosis in which the mutation was not present at time near diagnosis. Conclusion: We found that somatic mosaic PPM1D mutations in PMBCs are associated with advanced age and repeated exposure to chemotherapy. Mosaic mutations in other genes were not confirmed with the exception of TP53, for which mutations are also detectable after extensive treatment. It seems likely that mosaic PPM1D mutations in blood from cancer patients may be a result of selection by chemotherapy of age-induced somatic mutations during exposure to chemotherapy. Further studies are needed to determine the clinical significance of these mutations. Citation Format: Maria I. Harrell, Barbara M. Norquist, Tom Walsh, Mark F. Brady, Ming K. Lee, Robert Hershberg, Kimberly R. Kalli, Heather Lankes, Eric Q. Konnick, Colin C. Pritchard, Bradley J. Monk, John K. Chan, Robert Burger, Scott H. Kaufmann, Michael J. Birrer, Elizabeth M. Swisher. Old age and chemotherapy contribute to the selection of PPM1D somatic mosaic mutations in ovarian cancer. [abstract]. In: Proceedings of the AACR Special Conference on Advances in Ovarian Cancer Research: Exploiting Vulnerabilities; Oct 17-20, 2015; Orlando, FL. Philadelphia (PA): AACR; Clin Cancer Res 2016;22(2 Suppl):Abstract nr B71.

Abstract Background: Defects in homologous recombination (HR) DNA repair are common in high grade serous ovarian, peritoneal and fallopian tube carcinoma (HGSOC). Other than mutations in BRCA1 and BRCA2 (BRCA1/2), the molecular causes of HR deficiency have not been well delineated. The frequency of HR deficiency in non-serous ovarian carcinoma is not known. We previously identified that germline and somatic HR mutations in 13 genes in OC was associated with improved survival. We sought to replicate these data in an independent tumor set, while sequencing a larger number of DNA repair genes. Methods: We used BROCA-HR to sequence 65 DNA repair genes in germline (blood) and tumor DNA from 363 women with ovarian (262), peritoneal (91), or fallopian tube (10) carcinoma from an institutional tissue bank. Cox proportional hazards models, adjusted for stage and residual tumor after cytoreduction, were used to assess associations between mutations in DNA repair genes in HR or related pathways and overall survival from diagnosis. Results: In total, 96/363 (25%) patients had 59 germline and 45 somatic deleterious mutations in HR genes, including 34 germline and 22 somatic BRCA1/2 mutations. Damaging mutations found in other HR genes included 25 germline and 23 somatic in the following genes: 5 ATM, 6 ATR, 1 BAP1, 2 BARD1, 6 BLM, 2 BRIP1, 2 BRE, 1 BRCC3, 2 CHEK2, 1 ERCC1, 1 FANCG, 1 FANCI, 2 FANCL, 8 FANCM, 1 NBN, 2 PALB2, 1 RAD51D, 1 RBBP8, 1 SLX4, 1 UIMC1 and 1 XRCC2. Of 322 HGSOC, HR mutations occurred in 86 patients (26.7%) including 54 (16.8%) germline and 32 somatic (9.9%). HR mutation rates were similar across the different non-serous histologies. Of 13 clear cell OC, 2 (15.3%) had germline mutations in non-BRCA1/2 HR genes and 3 (23.1%) had PTEN/PIK3CA mutations. Of 27 endometrioid OC, 3 (11.1%) had HR mutations (1 germline BRCA1, and 2 non-BRCA1/2 somatic HR mutations). PTEN/PIK3CA mutations were identified in 9 (2.8%) HGSOC, 3 (23.1%) clear cell and 2 (7.5%) endometrioid. HR mutations demonstrated a trend towards improved long-term overall survival (hazard ratio = 0.78, 96% CI 0.57-1.05) after accounting for stage and debulking status. Conclusions: These data not only indicate that damaging HR mutations, both germline and somatic, are found in endometrioid and clear cell as well as HGSOC, but also confirm our previous results showing an association between HR mutations and improved overall survival in OC. We are now sequencing 163 additional non-serous OC to augment the current analysis and these data will be available at presentation. Citation Format: Maria I. Harrell, Matthew J. Maurer, Ethan P. Heinzen, Ming K. Lee, Kimberly R. Kalli, Kathy J. Agnew, Ann L. Oberg, Tom Walsh, Barbara M. Norquist, Lynn C. Hartmann, Scott H. Kaufmann, Elizabeth M. Swisher. Homologous recombination mutations and overall survival in high-grade serous, endometrioid, and clear cell ovarian carcinomas. [abstract]. In: Proceedings of the AACR Special Conference on Advances in Ovarian Cancer Research: Exploiting Vulnerabilities; Oct 17-20, 2015; Orlando, FL. Philadelphia (PA): AACR; Clin Cancer Res 2016;22(2 Suppl):Abstract nr A07.

Abstract Purpose: APOBEC3 DNA cytosine deaminase family members normally defend against viruses and transposons. However, deregulated APOBEC3 activity causes mutations in cancer. Because of broad expression profiles and varying mixtures of normal and cancer cells in tumors, including immune cell infiltration, it is difficult to determine where different APOBEC3s are expressed. Here, we ask whether correlations exist between APOBEC3 expression and T-cell infiltration in high-grade serous ovarian cancer (HGSOC), and assess whether these correlations have prognostic value. Experimental Design: Transcripts for APOBEC3G, APOBEC3B, and the T-cell markers, CD3D, CD4, CD8A, GZMB, PRF1, and RNF128 were quantified by RT-qPCR for a cohort of 354 HGSOC patients. Expression values were correlated with each other and clinical parameters. Two additional cohorts were used to extend HGSOC clinical results. Immunoimaging was used to colocalize APOBEC3G and the T-cell marker CD3. TCGA data extended expression analyses to additional cancer types. Results: A surprising positive correlation was found for expression of APOBEC3G and several T cell genes in HGSOC. Immunohistochemistry and immunofluorescent imaging showed protein colocalization in tumor-infiltrating T lymphocytes. High APOBEC3G expression correlated with improved outcomes in multiple HGSOC cohorts. TCGA data analyses revealed that expression of APOBEC3D and APOBEC3H also correlates with CD3D across multiple cancer types. Conclusions: Our results identify APOBEC3G as a new candidate biomarker for tumor-infiltrating T lymphocytes and favorable prognoses for HGSOC. Our data also highlight the complexity of the tumor environment with respect to differential APOBEC family gene expression in both tumor and surrounding normal cell types. Clin Cancer Res; 22(18); 4746–55. ©2016 AACR.

Abstract The PD-1:PD-L1 immune signaling axis mediates suppression of T-cell–dependent tumor immunity. PD-1 expression was recently found to be upregulated on tumor-infiltrating murine (CD11c+CD11b+CD8−CD209a+) and human (CD1c+CD19−) myeloid dendritic cells (TIDC), an innate immune cell type also implicated in immune escape. However, there is little knowledge concerning how PD-1 regulates innate immune cells. In this study, we examined the role of PD-1 in TIDCs derived from mice bearing ovarian tumors. Similar to lymphocytes, TIDC expression of PD-1 was associated with expression of the adapter protein SHP-2, which signals to NF-κB; however, in contrast to its role in lymphocytes, we found that expression of PD-1 in TIDC tonically paralyzed NF-κB activation. Further mechanistic investigations showed that PD-1 blocked NF-κB–dependent cytokine release in a SHP-2–dependent manner. Conversely, inhibition of NF-κB–mediated antigen presentation by PD-1 occurred independently of SHP-2. Collectively, our findings revealed that PD-1 acts in a distinct manner in innate immune cells compared with adaptive immune cells, prompting further investigations of the signaling pathways controlled by this central mediator of immune escape in cancer. Cancer Res; 76(2); 239–50. ©2015 AACR.