Jansen, Rick J.

Exposure to polycyclic aromatic hydrocarbons (PAHs), byproducts of incomplete combustion, and their effects on the development of cancer are still being evaluated. Recent studies have analyzed the relationship between PAHs and tobacco or dietary intake in the form of processed foods and smoked/well-done meats. This study aims to assess the association of a blood biomarker and metabolite of PAHs, r-1,t-2,3,c-4-tetrahydroxy-1,2,3,4-tetrahydrophenanthrene (PheT), dietary intake, selected metabolism SNPs, and pancreatic cancer. Demographics, food-frequency data, SNPs, treatment history, and levels of PheT in plasma were determined from 400 participants (202 cases and 198 controls) and evaluated based on pancreatic adenocarcinoma diagnosis. Demographic and dietary variables were selected based on previously published literature indicating association with pancreatic cancer. A multiple regression model combined the significant demographic and food items with SNPs. Final multivariate logistic regression significant factors (p-value < 0.05) associated with pancreatic cancer included: Type 2 Diabetes [OR = 6.26 (95% CI = 2.83, 14.46)], PheT [1.03 (1.02, 1.05)], very well-done red meat [0.90 (0.83, 0.96)], fruit/vegetable servings [1.35 (1.06, 1.73)], recessive (rs12203582) [4.11 (1.77, 9.91)], recessive (rs56679) [0.2 (0.06, 0.85)], overdominant (rs3784605) [3.14 (1.69, 6.01)], and overdominant (rs721430) [0.39 (0.19, 0.76)]. Of note, by design, the level of smoking did not differ between our cases and controls. This study does not provide strong evidence that PheT is a biomarker of pancreatic cancer susceptibility independent of dietary intake and select metabolism SNPs among a nonsmoking population.

Abstract Exposure to polycyclic aromatic hydrocarbons (PAHs), a byproduct of incomplete combustion, and its effects on the development of cancer needs further evaluation. Recent studies have analyzed the relationship between PAHs and tobacco or dietary intake in the form of processed foods and smoked/well-done meats. This study aims to assess the association of a blood biomarker and metabolite of PAHs, r-1-,t-2,3,c-4-tetrahydroxy-1,2,3,4-tetrahydrophenanthrene (PheT), selected metabolism SNPs, and pancreatic cancer. Demographics, food-frequency data, SNPs, treatment history and levels of PheT in plasma were collected from 400 participants (202 cases and 198 control) and evaluated based on pancreatic adenocarcinoma diagnosis. A two-stage analysis was completed to identify 1) SNPs that were significantly associated with pancreatic cancer and 2) Dietary intake and PheT variables significantly associated with pancreatic cancer. A univariate analysis for variables with OR≠1 and p-value &lt; 0.05 suggests significant relationship with pancreatic cancer and were carried forward to a multiple regression model for either food items or SNPs. Backward stepwise selection was used to eliminate non-significant variables. A collection of 5 SNPs were observed to form several of the most significant (adjusted p-value &lt;0.05) interaction pairs across different SNP models. These were rs566979 (gene: CAT), rs28540420 (gene: PTGER4), rs12029406 (gene: none), rs730368 (gene: PTGER4), and rs3181077 (gene: CCR1). A final multiple regression model combined the significant food items and SNPs. Final significant factors associated with pancreatic cancer after backward selection included: Type 2 Diabetes [7.66 (3.46, 17.76)], corrected percent recovered version of the PAH (cPheT) [1.03 (1.02, 1.05)], very well done red meat [0.90 (0.84, 0.96)], recessive(rs12203582) [3.58 (1.50, 8.83)], recessive(rs56679) [0.25 (0.06, 0.80)], overdominant(rs3784605) [3.42 (1.81, 6.66)], overdominant(rs721430) [0.42 (0.21, 0.83)]. Of note by design, the level of smoking did not differ between our cases and controls. This study provides evidence that a metabolite PheT could be a biomarker of pancreatic cancer independent of dietary intake, smoking, and select metabolism SNPs. Citation Format: Sierra Nguyen, Heather Carlson, Andrea Yoder, William R. Bamlet, Ann L. Oberg, Gloria M. Peterson, Steven Hecht, Rick Jansen. Polycyclic aromatic hydrocarbons and pancreatic cancer: An analysis of blood biomarker PheT as an exposure identifier [abstract]. In: Proceedings of the AACR Special Conference on Pancreatic Cancer; 2022 Sep 13-16; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2022;82(22 Suppl):Abstract nr B005.

Triple-negative breast cancer (TNBC), characterized by the absence or low expression of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor (HER2), is the most aggressive subtype of breast cancer. TNBC accounts for about 15% of breast cancer cases in the U.S., and is known for high relapse rates and poor overall survival (OS). Chemo-resistant TNBC is a genetically diverse, highly heterogeneous, and rapidly evolving disease that challenges our ability to individualize treatment for incomplete responders and relapsed patients. Currently, the frontline standard chemotherapy, composed of anthracyclines, alkylating agents, and taxanes, is commonly used to treat high-risk and locally advanced TNBC. Several FDA-approved drugs that target programmed cell death protein-1 (Keytruda) and programmed death ligand-1 (Tecentriq), poly ADP-ribose polymerase (PARP), and/or antibody drug conjugates (Trodelvy) have shown promise in improving clinical outcomes for a subset of TNBC. These inhibitors that target key genetic mutations and specific molecular signaling pathways that drive malignant tumor growth have been used as single agents and/or in combination with standard chemotherapy regimens. Here, we review the current TNBC treatment options, unmet clinical needs, and actionable drug targets, including epidermal growth factor (EGFR), vascular endothelial growth factor (VEGF), androgen receptor (AR), estrogen receptor beta (ERβ), phosphoinositide-3 kinase (PI3K), mammalian target of rapamycin (mTOR), and protein kinase B (PKB or AKT) activation in TNBC. Supported by strong evidence in developmental, evolutionary, and cancer biology, we propose that the K-RAS/SIAH pathway activation is a major tumor driver, and SIAH is a new drug target, a therapy-responsive prognostic biomarker, and a major tumor vulnerability in TNBC. Since persistent K-RAS/SIAH/EGFR pathway activation endows TNBC tumor cells with chemo-resistance, aggressive dissemination, and early relapse, we hope to design an anti-SIAH-centered anti-K-RAS/EGFR targeted therapy as a novel therapeutic strategy to control and eradicate incurable TNBC in the future.

Abstract Chemotherapy resistant breast cancer is a major health challenge, resulting in high relapse rates and poor survival. Neoadjuvant chemotherapy (NACT) is a standard treatment for women with high-risk TNBC, HER2+, and locally advanced ER+ breast cancer. A completed course of NACT results in two possible outcomes: pathologic complete response (pCR) or residual disease. While pCR is a reliable clinical prognostic biomarker associated with excellent outcomes and prolonged survival, especially for TNBC and HER2+ cancers, patients with residual disease have a higher risk of recurrence. Patients with residual disease can be further stratified clinically using the Residual Cancer Burden (RCB) classification; however, patients with similar RCB classes may experience dramatically different clinical outcomes. Thus, additional precision biomarkers to stratify patients with residual disease after NACT are needed to identify patients at highest risk of recurrence, and to develop new therapeutic strategies to eradicate multidrug-resistant tumors. Supported by strong evidence in developmental, evolutionary and cancer biology, we found that K-RAS-SIAH pathway activation is a major tumor driver, and SIAH represents a key tumor vulnerability in breast cancer. Normal K-RAS/SIAH signaling pathway activation is indispensable for proper cell-cell communication, cell proliferation and tissue homeostasis in multicellular organisms. However, abnormal K-RAS/SIAH pathway activation is highly prevalent in high-risk and locally advanced breast cancer, and may confer chemo-resistance to these high-risk mammary tumors. Based on its evolutionary conservation and significance as the most downstream signaling module indispensable for K-RAS signal transduction, SIAHON/OFF expression is a reliable readout of K-RAS/EGFR/HER2 pathway activation/inactivation. We showed that SIAHON/OFF expression is a binary code in residual mammary tumors that can be used to stratify patients, augment RCB classification, forecast tumor relapse, and predict patient survival after 1st line NACT in a pilot retrospective study. Multidrug-resistant high-grade breast cancer is a genetically diverse, highly heterogeneous disease that challenges our ability to individualize and optimize precision therapy. Persistent K-RAS-SIAH-EGFR pathway activation endows TNBC with therapy resistance, and increases the risk of metastasis and early relapse. As such, we developed a K-RAS/SIAH-centered biomarker discovery program and a new anti-SIAH research initiative with the intended goal of designing novel and potentially life-saving anti-K-RAS targeted strategies to control and eradicate multidrug-resistant and intractable mammary tumors. Citation Format: Amy H. Tang, Lauren L. Siewertsz van Reesema, Vasilena P. Zheleva, Janet S. Winston, Rick J. Jansen, Emanuel F. Petricoin, Matthew P. Goetz, Matthew P. Goetz, Harry D. Bear, Richard A. Hoefer. Detect early tumor relapse in high-risk breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 2145.

Pancreatic cancer is one of the most fatal common cancers affecting both men and women, representing about 3% of all new cancer cases in the United States. In this study, we aimed to investigate the association of pancreatic cancer risk with alcohol consumption as well as folate intake. We performed a case-control study of 384 patients diagnosed with pancreatic cancer from May 2004 to December 2009 and 983 primary care healthy controls in a largely white population (>96%). Our findings showed no significant association between risk of pancreatic cancer and either overall alcohol consumption or type of alcohol consumed (drinks/day). Our study showed dietary folate intake had a modest effect size, but was significantly inversely associated with pancreatic cancer (odds ratio (OR) = 0.99, p < 0.0001). The current study supports the hypothesis that pancreatic cancer risk is reduced with higher food-based folate intake.

DNA repair is a key mechanism in maintaining genomic stability: repair deficiencies increase DNA damage and mutations that lead to several diseases, including cancer. We extracted DNA from peripheral blood mononuclear cells (PBMCs) of 48 pancreatic adenocarcinoma cases and 48 healthy controls to determine relative levels of nuclear DNA (nDNA) and mitochondrial DNA (mtDNA) damage by QPCR. All participants were never smokers and between the ages of 60 and 69. Average levels among cases were compared to controls using a rank sum test, and logistic regression adjusted for potential confounding factors (age, sex, and diabetes mellitus). Cases had less DNA damage, with a significant decrease in mtDNA damage (P‐value = 0.03) and a borderline significant decrease in nDNA damage (P = 0.08). Across samples, we found mtDNA abundance was higher among non‐diabetics compared to diabetics (P = 0.04). Our results suggest that patients with pancreatic adenocarcinoma have less DNA damage in their PBMCs, and that having diabetes, a known pancreatic cancer risk factor, is associated with lower levels of mtDNA abundance. © 2014 Wiley Periodicals, Inc.

Abstract Background: Pancreatic cancer is a devastating disease for which the role of dietary factors remains inconclusive. The study objective was to evaluate risk of pancreatic cancer associated with meat preparation methods and meat-related mutagen consumption using a clinic-based case–control design. Methods: There were 384 cases and 983 controls; subjects provided demographic information and completed a 144-item food frequency questionnaire, which was used to estimate meat mutagen intake using the National Cancer Institute's CHARRED database (Bethesda, MD). Logistic regression was used to calculate ORs and 95% confidence intervals (CI), adjusted for factors including age, sex, cigarette smoking, body mass index, and diabetes mellitus. Results: Overall, the findings were null with respect to meat mutagen intake and pancreatic cancer. Conclusions: The results do not support an association between well-done meat or meat-related mutagen intake and pancreatic cancer and contrast with generally increased risks reported in previous studies. Impact: These data contribute to evidence about pancreatic cancer and potentially carcinogenic compounds in meat. Cancer Epidemiol Biomarkers Prev; 22(7); 1336–9. ©2013 AACR.

Abstract Background: The role of dietary fruit, vegetable, fiber, and whole grain intake is implicated as a potential protective factor against pancreatic cancer, but studies are inconsistent. A possible explanation for the variability is that individuals who carry constitutional metabolism gene variants (minor alleles) may differentially benefit compared to those who are homozygous for the major allele, which over a life-time could lead to altered pancreatic cancer risk. Methods: We genotyped 70 SNPs that tag ten candidate metabolism genes (CAT, GAA, GCK, MT1E, UGT1A6, UGT1A7, UGT1A8, UGT1A9, UGT2B4, and UGT2B7) involved in the metabolism of components of fruits, vegetables, fibers, and whole grains to test if differential associations exist with pancreatic adenocarcinoma. We used a clinic-based case-control design, excluding participants who reported changing their diet within 5 years prior to entering the study. Three hundred eighty-four rapidly ascertained cases and nine hundred eighty-three non-cases from a primary care clinic (frequency matched on age at recruitment (+ 5 years), race, sex, and region of residence) provided blood samples for DNA and completed epidemiologic surveys plus a 144-item food frequency questionnaire developed by the National Cancer Institute. We used a dominant model to code SNPs and split dietary intake categories based on the sex-specific median intake level among non-cases. Logistic regression was used to calculate odds ratios (OR) and 95% confidence intervals, adjusted for age, sex, family-history of pancreatic cancer, smoking (never/ former/ current), body mass index, energy intake, and alcohol consumption. The reference group was defined as carriers of no minor alleles in the lowest intake category. Results: The greatest benefit was observed for carriers of no minor alleles, for rs11032702 (CAT) with higher insoluble dietary fiber intake (OR [95%CI]: 0.515 [0.37, 0.71]); for rs735670 (GCK) with higher soluble dietary intake (0.473 [0.34, 0.67]); for rs2070971 (GCK) and rs2268569 (GCK) with higher fruit intake not from citrus, melon, and berries (0.513 [0.36, 0.73] and 0.554 [0.40, 0.78]); and for rs17832252 (GCK) with higher whole grain intake (0.530 [0.37, 0.76]); all comparisons had a reference group of no minor alleles with low dietary intake and a p-value for interaction &lt;0.001. Conclusions: Inter-individual variation in metabolism of fruits, vegetables, fiber, and whole grain via metabolism gene variants may influence pancreatic cancer risk. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 3749. doi:10.1158/1538-7445.AM2011-3749

Abstract Pancreatic cancer is a devastating disease for which the role of dietary risk factors remains inconclusive. We evaluated fruit, vegetable, fiber, and grain consumption with pancreatic cancer risk using a clinic-based case-control design, excluding participants who reported changing their diet within 5 years prior to entering the study. Our study included 384 rapidly ascertained cases and 983 non-cases (frequency matched on age at time of recruitment (± 5 years), race, sex, and region of residence) who completed epidemiologic surveys and a 144-item food frequency questionnaire developed by the National Cancer Institute. Logistic regression was used to calculate odds ratios (OR) and 95% CIs, adjusted for age, sex, smoking, body mass index, energy intake, and alcohol consumption. Comparing highest to lowest quintiles, we observed significant (OR &lt; 0.01) inverse associations with significant trends (ptrend &lt; 0.01) for citrus, melon, and berries, other fruit, dark green vegetables, deep yellow vegetables, tomato, other vegetables, dry bean and pea, insoluble fiber, soluble fiber, and whole grains. Adjusting for diabetes or total sugar intake in the multivariate logistic regression model did not significantly affect results. Consuming a diet high in fruits, vegetables, fiber, and whole grains may reduce the risk of developing pancreatic cancer. Citation Information: Cancer Prev Res 2010;3(12 Suppl):A85.