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Oberg, Ann L.

https://orcid.org/0000-0003-2539-9807

Mayo Clinic

Mayo Clinic

Citations 129

Abstract A07: Homologous recombination mutations and overall survival in high-grade serous, endometrioid, and clear cell ovarian carcinomas.
Harrell, Maria I., Heinzen, Ethan P. , Lee, Ming K. , Kalli, Kimberly R., Agnew, Kathy, Oberg, Ann L. , Hartmann, Lynn C., Kaufmann, Scott H. , Maurer, Matthew J. , Walsh, Tom D. , Norquist, Barbara M. , Swisher, Elizabeth M. , Kaufmann, Scott H

Clinical Cancer Research | May 20, 2016 | Volume: 22 | Issue: 2_Supplement | Pages: A07-A07

10.1158/1557-3265.ovca15-a07 Get It

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.
The composition of immune cells serves as a predictor of adaptive immunity in a cohort of 50‐ to 74‐year‐old adults
Kennedy, Richard B. , Simon, Whitney L., Gibson, Michael J., Goergen, Krista M., Grill, Diane E. , Oberg, Ann L. , Gibson, Michael J., Poland, Gregory A. , Kennedy, Richard

Immunology | May 18, 2016 | Volume: 148 | Issue: 3 | Pages: 266-275

10.1111/imm.12599 Get It

SummaryInfluenza causes significant morbidity and mortality annually. Although vaccination offers a considerable amount of protection, it is far from perfect, especially in aging populations. This is due to age‐related defects in immune function, a process called immunosenescence. To date, there are no assays or methods to predict or explain variations in an individual's level of response to influenza vaccination. In this study, we measured levels of several immune cell subsets at baseline (Day 0) and at Days 3 and 28 post‐vaccination using flow cytometry. Statistical modelling was performed to assess correlations between levels of cell subsets and Day 28 immune responses – haemagglutination inhibition (HAI) assay, virus neutralizing antibody (VNA) assay, and memory B cell ELISPOT. Changes in several groups of cell types from Day 0 to Day 28 and Day 3 to Day 28 were found to be significantly associated with immune response. Baseline levels of several immune cell subsets, including B cells and regulatory T cells, were able to partially explain variation in memory B‐cell ELISPOT results. Increased expression of HLA‐DR on plasmacytoid dendritic cells after vaccination was correlated with increased HAI and VNA responses. Our data suggest that the expression of activation markers (HLA‐DR and CD86) on various immune cell subsets, as well as the relative distribution of cell subsets, both have value in predicting immune responses to influenza vaccination in older individuals.
Metformin Use and Survival of Patients With Pancreatic Cancer: A Cautionary Lesson
Chaiteerakij, Roongruedee , Petersen, Gloria M. , Bamlet, William R. , Chaffee, Kari G. , Zhen, David B. , Burch, Patrick A. , Leof, Emma R., Roberts, Lewis R. , Oberg, Ann L. , Rabe, Kari G. , Chaiteerakij, Roongruedee , Roberts, Lewis R , Bamlet, William R

Journal of Clinical Oncology | April 12, 2016 | Volume: 34 | Issue: 16 | Pages: 1898-1904

10.1200/jco.2015.63.3511 Get It

Purpose The inclusion of metformin in the treatment arms of cancer clinical trials is based on improved survival that has been demonstrated in retrospective epidemiologic studies; however, unintended biases may exist when analysis is performed by using a conventional Cox proportional hazards regression model with dichotomous ever/never categorization. We examined the impact of metformin exposure definitions, analytical methods, and patient selection on the estimated effect size of metformin exposure on survival in a large cohort of patients with pancreatic ductal adenocarcinoma (PDAC). Patients and Methods Of newly diagnosed patients with PDAC with diabetes, 980 were retrospectively included, and exposure to metformin documented. Median survival was assessed by using Kaplan-Meier and log-rank methods. Hazard ratios (HR) and 95% CIs were computed to compare time-varying covariate analysis with conventional Cox proportional hazards regression analysis. Results Median survival of metformin users versus nonusers was 9.9 versus 8.9 months, respectively. By the time-varying covariate analysis, metformin use was not statistically significantly associated with improved survival (HR, 0.93; 95% CI, 0.81 to1.07; P = .28). There was no evidence of benefit in the subset of patients who were naïve to metformin at the time of PDAC diagnosis (most representative of patients enrolled in clinical trials; HR, 1.01; 95% CI, 0.80 to 1.30; P = .89); however, when the analysis was performed by using the conventional Cox model, an artificial survival benefit of metformin was detected (HR, 0.88; 95% CI, 0.77 to 1.01; P = .08), which suggested biased results from the conventional Cox analysis. Conclusion Our findings did not suggest the benefit of metformin use after patients are diagnosed with PDAC. We highlight the importance of patient selection and appropriate statistical analytical methods when studying medication exposure and cancer survival.
APOBEC3G Expression Correlates with T-Cell Infiltration and Improved Clinical Outcomes in High-grade Serous Ovarian Carcinoma
Leonard, Brandon , Starrett, Gabriel J. , Oberg, Ann L. , Bockstal, Mieke Van , Helleman, Jozien , Sieuwerts, Anieta M. , Berns, Els M.J.J., Anderson, Brett D. , Brown, William L. , Kalli, Kimberly R., Kaufmann, Scott H. , Maurer, Matthew J. , Van Dorpe, Jo , Wever, Olivier De , Martens, John W.M. , Harris, Reuben S. , Kaufmann, Scott H

Clinical Cancer Research | March 25, 2016 | Volume: 22 | Issue: 18 | Pages: 4746-4755

10.1158/1078-0432.ccr-15-2910 Get It

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.
Optimizing Mass Spectrometry Analyses: A Tailored Review on the Utility of Design of Experiments
Hecht, Elizabeth S. , Oberg, Ann L. , Muddiman, David C.

Journal of the American Society for Mass Spectrometry | March 7, 2016 | Volume: 27 | Issue: 5 | Pages: 767-785

10.1007/s13361-016-1344-x Get It

Growth hormone action predicts age-related white adipose tissue dysfunction and senescent cell burden in mice
Tchkonia, Tamar , Pirtskhalava, Tamar , Berryman, Darlene E. , Lubbers, Ellen R. , Escande, Carlos , Spong, Adam, Oberg, Ann L. , Miller, Richard A. , Kopchick, John J. , Kirkland, James L. , Stout, Michael B, Tchkonia, Tamara, Palmer, Allyson K. , Stout, Michael B , List, Edward Owen , Masternak, Michal M , LeBrasseur, Nathan K. , Bartke, Andrzej , Tchkonia, T

Aging | March 6, 2016 | Volume: 6 | Issue: 7 | Pages: 575-586

10.18632/aging.100681 Get It

Serine protease inhibitor Kazal type 1 (SPINK1) drives proliferation and anoikis resistance in a subset of ovarian cancers
Mehner, Christine , Oberg, Ann L. , Kalli, Kimberly R., Nassar, Aziza , Hockla, Alexandra , Pendlebury, Devon F., Cichon, Magdalena A., Goergen, Krista M., Goode, Ellen L. , Keeney, Gary L., Jatoi, Aminah , Sahin‐Tóth, Miklós , Copland, John A. , Radisky, Evette S. , Pendlebury, Devon, Radisky, Derek C. , Nassar, Aziza , Maurer, Matthew J. , Radisky, Evette S

Oncotarget | October 4, 2015 | Volume: 6 | Issue: 34 | Pages: 35737-35754

10.18632/oncotarget.5927 Get It

Abstract LB-183: Metformin use does not increase survival of pancreatic cancer patients: A cautionary lesson
Chaiteerakij, Roongruedee , Burch, Patrick, Chaffee, Kari G. , Oberg, Ann L. , Roberts, Lewis R. , Petersen, Gloria M. , Chaiteerakij, Roongruedee , Zhen, David B. , Bamlet, William R. , Roberts, Lewis R

Cancer Research | August 5, 2015 | Volume: 75 | Issue: 15_Supplement | Pages: LB-183-LB-183

10.1158/1538-7445.am2015-lb-183 Get It

Abstract Background: Epidemiologic studies have suggested that metformin use is associated with cancer death reduction. The results for pancreatic ductal adenocarcinoma (PDAC) are inconsistent. Retrospective studies of cancer survival may potentially have unintended biases; due to complexities of diabetes management, metformin use exposure is commonly categorized as simply “yes/no.” Nevertheless, in part based on epidemiologic studies, there are at least 20 open cancer clinical trials that include metformin in a treatment arm. We aimed to study metformin use and survival of patients with PDAC, addressing potential inherent biases. Methods: A retrospective cohort study for the years 2000-2011 was conducted using the patient database of the Mayo Clinic Specialized Programs of Research Excellence (SPORE) in Pancreatic Cancer. 1,360 PDAC patients (59% male; mean age 67) with diabetes were studied; overall survival was the primary outcome. Initiation and duration of metformin use was carefully abstracted from medical records. Patients were categorized into 5 groups based on metformin initiation: (A) Never used, n = 908 (reference group); (B) Metformin started >1 year prior to PDAC diagnosis, n = 84; (C) Metformin started within 1 year prior to PDAC diagnosis, n = 212; (D) Metformin started <30 days post-PDAC diagnosis, n = 104; (E) Metformin started >30 days post PDAC diagnosis, n = 34. Hazard ratios (HR) and 95% confidence intervals (C.I.) for survival differences between groups were computed using Cox proportional hazards models, adjusting for age, sex, disease stage, body mass index, and diagnosis year group. Results: Median survival of patients in Groups B-E was 292 days compared to 308 for Group A; this was not significantly different. However, among 413 resectable patients, metformin users appeared to survive longer than non-users (782 vs. 612 days, p = 0.07). Survival in each group was 308, 245, 249, 243 and 818 days, respectively. Because Group E had already survived >30 days, a bias existed. With Group E excluded, there was no survival difference among the other 4 groups (p = 0.18). Compared to Group A, HR and 95% C.I. for metformin use were 1.08 (0.85-1.37), 0.99 (0.85-1.17), 1.04 (0.83-1.31) and 0.49 (0.33-0.74), for Group B-E, respectively. Conclusions: Our thorough analysis suggests that metformin use does not improve survival of patients with PDAC. The benefit of metformin was observed only in patients who started metformin post-PDAC diagnosis; however, there is an inherent survival bias in this group of patients. Studies of medication exposure and cancer survival warrant very careful and detailed data collection. Researchers should exercise caution when initiating clinical trials based on retrospective epidemiologic studies. Citation Format: Roongruedee Chaiteerakij, David B. Zhen, Patrick A. Burch, Kari G. Chaffee, William R. Bamlet, Ann L. Oberg, Lewis R. Roberts, Gloria M. Petersen. Metformin use does not increase survival of pancreatic cancer patients: A cautionary lesson. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr LB-183. doi:10.1158/1538-7445.AM2015-LB-183
Oncolytic Measles Virus Expressing the Sodium Iodide Symporter to Treat Drug-Resistant Ovarian Cancer
Atherton, Pamela J. , Maurer, Matthew J. , Knutson, Keith L. , Dowdy, Sean C. , Cliby, William A. , Haluska, Paul , Long, Harry J., Oberg, Ann L. , Aderca, Ileana, Block, Matthew S. , Federspiel, Mark J. , Russell, Stephen J. , Kalli, Kimberly R., Keeney, Gary, Peng, Kah Whye, Hartmann, Lynn C. , Galanis, Evanthia , Öberg, Ann, Bakkum-Gamez, Jamie, Knutson, Keith L. , Bakkum‐Gamez, Jamie N. , Maurer, Matthew , Russell, Stephen J

Cancer Research | November 15, 2014 | Volume: 75 | Issue: 1 | Pages: 22-30

10.1158/0008-5472.can-14-2533 Get It

Abstract Edmonston vaccine strains of measles virus (MV) have significant antitumor activity in mouse xenograft models of ovarian cancer. MV engineered to express the sodium iodide symporter gene (MV-NIS) facilitates localization of viral gene expression and offers a tool for tumor radiovirotherapy. Here, we report results from a clinical evaluation of MV-NIS in patients with taxol- and platinum-resistant ovarian cancer. MV-NIS was given intraperitoneally every 4 weeks for up to 6 cycles. Treatment was well tolerated and associated with promising median overall survival in these patients with heavily pretreated ovarian cancer; no dose-limiting toxicity was observed in 16 patients treated at high-dose levels (108–109 TCID50), and their median overall survival of 26.5 months compared favorably with other contemporary series. MV receptor CD46 and nectin-4 expression was confirmed by immunohistochemistry in patient tumors. Sodium iodide symporter expression in patient tumors after treatment was confirmed in three patients by 123I uptake on SPECT/CTs and was associated with long progression-free survival. Immune monitoring posttreatment showed an increase in effector T cells recognizing the tumor antigens IGFBP2 and FRα, indicating that MV-NIS treatment triggered cellular immunity against the patients' tumor and suggesting that an immune mechanism mediating the observed antitumor effect. Our findings support further clinical evaluation of MV-NIS as an effective immunovirotherapy. Cancer Res; 75(1); 22–30. ©2014 AACR.
Abstract 4844: Polymorphisms in regulatory T cell related genes and ovarian cancer survival.
Charbonneau, Bridget, Knutson, Keith L. , Cunningham, Julie M. , Kalli, Kimberly R., Oberg, Ann L. , Phelan, Catherine M., Odunsi, Kunle , Moysich, Kirsten B., Goode, Ellen L. , Knutson, Keith L. , Vierkant, Robert A. , Fogarty, Zachary C. , Maurer, Matthew J. , Fridley, Brooke L. , Preston, Claudia C. , Pharoah, Paul D.P. , Ramus, Susan J.

Cancer Research | August 14, 2014 | Volume: 73 | Issue: 8_Supplement | Pages: 4844-4844

10.1158/1538-7445.am2013-4844 Get It

Abstract Tumor infiltrating regulatory T cells (Tregs) appear to play a role in survival in a number of solid tumors, including ovarian cancer. We assessed genetic variation via tag SNPs (N=749) in 25 Treg associated genes (CD28, CTLA4, FOXP3, IDO1, IL10, IL10RA, IL15, 1L17RA, IL23A, IL23R, IL2RA, IL6, IL6R, IL8, LGALS1, LGALS9, MAP3K8, STAT5A, STAT5B, TGFB1, TGFB2, TGFB3, TGFBR1, TGRBR2, and TGFBR3) in relation to ovarian cancer survival. SNPs were selected based on r2 ≥ 0.8, MAF ≥ 0.05, 5 kb upstream and downstream from the gene. We had SNP and outcome data for ovarian cancer from 10,084 combined ovarian cancer cases, including 5,248 high grade serous, 1,452 endometrioid, 661 mucinous, and 795 clear cell cases of European descent across multiple studies from the Ovarian Cancer Association Consortium (OCAC). Cox proportional hazards regression modeling was used to estimate per-allele hazard ratios (HRs) and 95% confidence intervals (CIs) for associations with overall survival, adjusting for age at diagnosis, population substructure PCs, study site, histology (for the all case analysis), tumor stage, tumor grade and oral contraceptive use. The strongest associations were found for endometrioid histologic subtype and IL2RA SNPs (maximum r2=0.67) rs11256497 [HR=1.42, 95% CI: 1.22-1.64; p=5.7 x 10−6], rs791587 [HR=1.36, 95% CI: 1.17-1.57; p=6.2 x 10−5], rs2476491 [HR=1.40, 95% CI: 1.19-1.64; p=5.6 x 10−5], and rs10795763 [HR=1.35, 95% CI: 1.17-1.57; p=7.9 x 10−5], as well as clear cell ovarian cancer and CTLA4 SNP rs231775 [HR=0.67, 95% CI: 0.54-0.82; p=9.3 x 10−5]. No other associations were observed at p<1 x 10−4. Overall, this study provided evidence that variation in genes related to Tregs, particularly IL2RA and CTLA4, influence ovarian cancer survival. Citation Format: Bridget Charbonneau, Keith Knutson, Robert A. Vierkant, Julie M. Cunningham, Zachary C. Fogarty, Kimberly R. Kalli, Matthew J. Maurer, Ann L. Oberg, Brooke L. Fridley, Claudia C. Preston, Paul D.P. Pharoah, Susan J. Ramus, Catherine M. Phelan, Kunle Odunsi, Kirsten Moysich, Ellen L. Goode. Polymorphisms in regulatory T cell related genes and ovarian cancer survival. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 4844. doi:10.1158/1538-7445.AM2013-4844