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127 citation(s) found for "Wheeler, A".

Agnostic Pathway/Gene Set Analysis of Genome-Wide Association Data Identifies Associations for Pancreatic Cancer
Walsh, Naomi , Hyland, Paula L. , Yang, Qi , Childs, Erica J., Collins, Irene , Wang, Zhaoming , Arslan, Alan A. , Bracci, Paige M. , Brennan, Paul , Canzian, Federico , Gallinger, Steven , Goodman, Gary E. , Goodman, Phyllis J. , Hung, Rayjean J, Kurtz, Robert C. , Scélo, Ghislaine , Shu, Xiao Ou , Visvanathan, Kala , consortia, PanScan and PanC4, Andreotti, Gabriella , Babić, Ana , Berndt, Sonja I. , Borgida, Ayelet , Bueno‐de‐Mesquita, Bas , Buring, Julie E. , Chaffee, Kari G. , Foretová, Lenka , Fuchs, Charles S. , Gaziano, J. Michael , Giovannucci, Edward, Hackert, Thilo , Haiman, Christopher A. , Hartge, Patricia, Hasan, Manal , Helzlsouer, Kathy J., Herman, Joseph M. , Holly, Elizabeth A., Hoover, Robert N. , Hung, Rayjean J, Janout, Vladimí­r , Klein, Eric A. , Laheru, Daniel A. , Lee, I‐Min , Oberg, Ann L. , Patel, Alpa V. , Peters, Ulrike , Porta, Miquel , Real, Francisco X. , Rothman, Nathaniel , Sesso, Howard D. , Strobel, Oliver , Thornquist, Mark, Wactawski‐Wende, Jean , Wareham, Nick, Weiderpass, Elisabete , Wentzensen, Nicolas , Wheeler, William, Zeleniuch‐Jacquotte, Anne , Kraft, Peter , Li, Donghui , Jacobs, Eric J. , Petersen, Gloria M. , Wolpin, Brian M. , Rabe, Kari G. , Hung, Rayjean J. , Cleary, Sean, Weiderpass, Elisabete , Arslan, Alan A , Canzian, Federico , Hung, Rayjean J , Wactawski-Wende, Jean , Wang, Zhaoming , Visvanathan, Kala , Klein, Eric A , Strobel, Oliver , Kraft, Peter , Porta, Miquel , Real, Francisco X , Zeleniuch-Jacquotte, Anne , Zhang, Han , Mocci, Evelina , Zhang, Mingfeng , Freeman, Laura E. Beane , Duell, Eric J. , Giles, Graham G. , Goggins, Michael , Hung, Rayjean J, Kooperberg, Charles , Malats, Núria , Marchand, Loı̈c Le , Neale, Rachel Ε. , Olson, Sara H. , Van Den Eeden, Stephen K , White, Emily , Zheng, Wei , consortia, PanScan and PanC4, Albanes, Demetrius , Bamlet, William R. , Boutron‐Ruault, Marie‐Christine , Brais, Lauren K , Chanock, Stephen Jacob , Cleary, Sean P. , Cotterchio, Michelle , Holcátová, Ivana , Hung, Rayjean J, Lu, Lingeng , Männistö, Satu , Milne, Roger L. , Orlow, Irene , Rothman, Nathaniel , Severi, Gianluca , Silverman, Debra T. , Sund, Malin , Tobias, Geoffrey S. , Wareham, Nick, Yu, Kai , Risch, Harvey A. , Ámundadóttir, Laufey T. , Yu, Kai , Klein, Alison P. , Stolzenberg‐Solomon, Rachael Z.

Mayo Clinic

JNCI: Journal of the National Cancer Institute | August 15, 2018 | Volume: 111 | Issue: 6 | Pages: 557-567

10.1093/jnci/djy155 | PMID 30541042 Get It

METABOLIC STUDIES DURING PREGNANCY AND MENSTRUATION
Sandiford, Irene, Wheeler, T., Boothby, Walter M.

Mayo Clinic

American Journal of Physiology-Legacy Content | December 24, 2017 | Volume: 96 | Issue: 1 | Pages: 191-202

10.1152/ajplegacy.1931.96.1.191 Get It

Abstract 1286: Targeted deep sequencing of colorectal tumor tissues to study associations of tumor subtypes with germline genetic, lifestyle, and environmental risk factors
Zaidi, Syed Hassan Ejaz , Sun, Wei , Huyghe, Jeroen R. , Grasso, Catherine S. , Connolly, Charles M. , French, Amy J. , Mu, Jasmine, Giannakis, Marios , Quist, Michael J., Brenner, Hermann , Campbell, Peter , Chang‐Claude, Jenny , Ferretti, Vincent , Fuchs, Charles, Gsur, Andrea , Harrison, Tabitha A. , Hoffmeister, Michael , Lee, Stephen , Lemire, Mathieu , Miller, Jessica K. , Pasternack, Danielle, Teney, Cherie, Timms, Lee E., Wheeler, David , Zubair, Niha, Garraway, Levi A. , Hsu, Li, Gallinger, Steven, Thibodeau, Stephen N. , Peters, Ulrike , Trinh, Quang M. , Shinbrot, Eve , Borozan, Ivan , Buchanan, Daniel D. , Campbell, Peter, Chan, Andrew Lung-Tat , Gunter, Marc J. , Huang, Wen‐Yi , Krzyzanowski, Paul M. , Mardis, Elaine R. , Newcomb, Polly A. , Stein, Lincoln , Yung, Christina K. , Ogino, Shuji , Hudson, Thomas J , Hoffmeister, Michael , Harrison, Tabitha A , Brenner, Hermann

Mayo Clinic

Cancer Research | July 31, 2017 | Volume: 77 | Issue: 13_Supplement | Pages: 1286-1286

10.1158/1538-7445.am2017-1286 Get It

Abstract The Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO) in collaboration with the Colorectal Cancer Family Registry (CCFR) aims to identify genetic variants and environmental risk factors that impact colorectal cancer (CRC). Over 30 studies from North America, Europe, and Australia participate in GECCO. These studies have collected clinical, epidemiological, and survival data, as well as blood and tumor biospecimens, for over 80,000 CRC cases and controls. The current study aims to conduct targeted deep sequencing of tumors and matching normal DNA to identify recurrent and novel somatic and germline variants in 4,200 CRC cases. To achieve this goal, an AmpliSeq targeted sequencing panel of 1.12 Mbp was constructed to sequence the coding regions of 190 significantly mutated genes identified from whole exome sequencing datasets generated by the Nurses’ Health Study and Health Professional’s Follow-up Study, and The Cancer Genome Atlas. The panel also covers coding regions of 15 genes with germline high penetrance mutations in CRC, 54 regions to detect CRC-related copy number alterations (CNAs), and microsatellite and homopolymer repeat regions to identify defective DNA mismatch repair. Primers were also included to detect Fusobacterium nucleatum DNA in tumor biopsies, as F. nucleatum is thought to promote CRC carcinogenesis. Sequencing of the DNA libraries on Illumina HiSeq 2500 produced a mean coverage of greater than 500X for tumor DNA and 100X for normal DNA, with >85% of the bases covered at the target at 50x. So far, targeted sequencing of >1,500 DNA samples from CRC tumors and normal tissues has identified recurrent and novel somatic mutations, germline genetic variants, and hypermutation status of the tumors due to defective DNA mismatch repair or pathogenic mutations in the POLE gene. Targeted sequencing has also allowed quantification of the F. nucleatum DNA in tumor biopsies; the results were validated by a multiplex QPCR assay. At the AACR annual meeting, we will present targeted sequencing results generated from the first two GECCO-participating studies (n=1,300 cases). These data will be valuable for future association testing of somatic mutations, CNAs, hypermutation status, and F. nucleatum with germline genetic variants, lifestyle, and environmental risk factors and survival. This large study will allow development of better strategies for diagnosis, treatment, and prevention of CRC. Citation Format: Syed H. Zaidi, Wei Sun, Jeroen Huyghe, Catherine S. Grasso, Quang Trinh, Charles Connolly, Amy French, Jasmine Mu, Marios Giannakis, Eve Shinbrot, Ivan Borozan, Michael J. Quist, Hermann Brenner, Daniel Buchanan, Peter Campbell, Andrew Chan, Jenny Chang-Claude, Vincent Ferretti, Charles Fuchs, Andrea Gsur, Marc Gunter, Tabitha Harrison, Michael Hoffmeister, Wen-Yi Huang, Paul Krzyzanowski, Stephen Lee, Mathieu Lemire, Jessica Miller, Danielle Pasternack, Cherie Teney, Elaine Mardis, Polly Newcomb, Lincoln Stein, Lee Timms, David Wheeler, Christina Yung, Niha Zubair, Levi Garraway, Shuji Ogino, Li Hsu, Steven Gallinger, Stephen Thibodeau, Thomas Hudson, Ulrike Peters. Targeted deep sequencing of colorectal tumor tissues to study associations of tumor subtypes with germline genetic, lifestyle, and environmental risk factors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 1286. doi:10.1158/1538-7445.AM2017-1286
Abstract 5221: Linking the molecular profile of colorectal tumors to germline genetic and environmental risk factors
Zaidi, Syed Hassan Ejaz , Grasso, Catie, Mu, Jasmine, Giannakis, Marios , Connolly, Charles M. , Brenner, Hermann , Chang‐Claude, Jenny , Du, Mengmeng , Ferretti, Vincent , French, Amy J. , Fuchs, Charles S. , Gallinger, Steven , Garraway, Levi A. , Gsur, Andrea , Harrison, Tabitha A. , Hoffmeister, Michael , Huyghe, Jeroen R. , Lemire, Mathieu , McPherson, John D. , Timms, Lee E., Wheeler, David A. , Zubair, Niha, Thibodeau, Stephen N. , Peters, Ulrike , Shinbrot, Eve , Borozan, Ivan , Campbell, Peter T. , Chan, Andrew T. , Gunter, Marc J. , Hsu, Li , Huang, Wen‐Yi , Mardis, Elaine R. , Newcomb, Polly A. , Stein, Lincoln , Sun, Wei , Trinh, Quang M. , Yung, Christina K. , Ogino, Shuji , Hudson, Thomas J , Hoffmeister, Michael , Harrison, Tabitha A , Brenner, Hermann

Mayo Clinic

Cancer Research | July 26, 2016 | Volume: 76 | Issue: 14_Supplement | Pages: 5221-5221

10.1158/1538-7445.am2016-5221 Get It

Abstract The completion of The Cancer Genome Atlas (TCGA) project for colorectal cancer (CRC) has enabled a new, focused phase of sequencing tumor samples for which genome-wide genetic, epidemiological, clinical and lifestyle data have been collected. By combining somatic mutational profiles with these aforementioned data, we may identify and report effective prevention and treatment approaches for a broader population of individuals. The advent of targeted deep sequencing approaches using DNA obtained from formalin fixed paraffin embedded tissues has made possible the genetic characterization of the large numbers of patients needed to make such an effort relevant. As a first step, we describe a custom gene panel designed from large-scale studies for targeted deep sequencing, and its application to over 4,200 CR tumors, collected by the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO). This study is designed to identify recurrent somatic mutations and copy number alterations (CNAs) for association testing with germline genetic and lifestyle and environmental risk factors for CRC, and thereby identify relevant approaches to impact cancer prevention. The targeted CRC panel includes 205 genes. Genes were primarily selected as significantly mutated genes identified from the Nurses’ Health Study and Health Professional's Follow-up Study (n = 700), and TCGA (n = 525). We also included 15 genes associated with high penetrance germline mutations and augmented the list to include genes in pathways of somatically altered genes, identified by literature review, from public databases and known to be associated with loss of heterozygosity. For these 205 genes, amplification primers were designed to include all coding regions of transcripts that are listed in the UCSC Genome Browser. For regions with CNAs, the TCGA dataset was analyzed to include regions with greater than or equal to 2 copy focal gains or losses that were found in more than 4 or 3 tumors, respectively. Candidate genes in regions with significant CNAs from the TCGA CRC publication (Nature 2012) were also included. For CNAs, 6 to 12 amplicons were designed for each of the 56 selected regions (32 gains and 24 losses). Additional target regions include: 1) 25 microsatellite loci previously used to identify defective DNA mismatch repair and 212 homoploymer repeats. These include microsatellite loci recommended by the NCI Consensus Panel for identifying MSI; 2) amelogenin (for gender); and 3) Fusobacterium to detect a putative CRC-associated pathogen in tumor biopsies. At the AACR annual meeting, we expect to present results for deep sequencing (∼1,000X) of the first 1,000 CR tumors, including any preliminarily identified pathways and subtypes that may provide the basis for association testing with germline genetic and lifestyle and environmental risk factors needed for inferring better approaches to prevention and treatment of CRC. Citation Format: Syed H. Zaidi, Catie Grasso, Jasmine Mu, Eve Shinbrot, Marios Giannakis, Charles Connolly, Ivan Borozan, Hermann Brenner, Peter Campbell, Andrew Chan, Jenny Chang-Claude, Mengmeng Du, Vincent Ferretti, Amy French, Charles Fuchs, Steven Gallinger, Levi Garraway, Andrea Gsur, Marc Gunter, Tabitha Harrison, Michael Hoffmeister, Li Hsu, Wen-Yi Huang, Jeroen Huyghe, Mathieu Lemire, Elaine Mardis, John McPherson, Polly Newcomb, Lincoln Stein, Wei Sun, Lee Timms, Quang Trinh, David Wheeler, Christina Yung, Niha Zubair, Shuji Ogino, Stephen Thibodeau, Ulrike Peters, Thomas Hudson. Linking the molecular profile of colorectal tumors to germline genetic and environmental risk factors. [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 5221.
Assessing health disparities in children using a modified housing-related socioeconomic status measure: a cross-sectional study
Ryu, Euijung , Crow, Sheri, Armasu, Sebastian M. , Wheeler, Philip H., Sloan, Jeff A. , Yawn, Barbara P. , Beebe, Timothy J. , Williams, Arthur R., Juhn, Young J. , Crow, Sheri S, Wi, Chung‐Il

Mayo Clinic

BMJ Open | July 22, 2016 | Volume: 6 | Issue: 7 | Pages: e011564

10.1136/bmjopen-2016-011564 | PMID 27449892 Get It

Objectives Socioeconomic status (SES) is a well-established risk factor for many health outcomes. Recently, we developed an SES measure based on 4 housing-related characteristics (termed HOUSES) and demonstrated its ability to assess health disparities. In this study, we aimed to evaluate whether fewer housing-related characteristics could be used to provide a similar representation of SES. Study setting and participants We performed a cross-sectional study using parents/guardians of children aged 1–17 years from 2 US Midwestern counties (n=728 in Olmsted County, Minnesota, and n=701 in Jackson County, Missouri). Primary and secondary outcome measures For each participant, housing-related characteristics used in the formulation of HOUSES (assessed housing value, square footage, number of bedrooms and number of bathrooms) were obtained from the local government assessor's offices, and additional SES measures and health outcomes with known associations to SES (obesity, low birth weight and smoking exposure) were collected from a telephone survey. Housing characteristics with the greatest contribution for predicting the health outcomes were added to formulate a modified HOUSES index. Results Among the 4 housing characteristics used in the original HOUSES, the strongest contributions for predicting health outcomes were observed from assessed housing value and square footage (combined contribution ranged between 89% and 96%). Based on this observation, these 2 were used to calculate a modified HOUSES index. Correlation between modified HOUSES and other SES measures was comparable to the original HOUSES for both locations. Consistent with the original HOUSES formula, the strongest association with modified HOUSES was observed with smoking exposure (OR=0.24 with 95% CI 0.11 to 0.49 for comparing participants in highest HOUSES vs lowest group; overall p<0.001). Conclusions The modified HOUSES requires only 2 readily available housing characteristics thereby improving the feasibility of using this index as a proxy for SES in multiple communities, especially in the US Midwestern region.
Stem Cell Therapies for Treatment of Liver Disease
Nicolas, Clara T., Wang, Yujia , Luebke-Wheeler, Jennifer L., Nyberg, Scott L. , Nicolas, Clara, Luebke-Wheeler, Jennifer

Mayo Clinic

Biomedicines | January 6, 2016 | Volume: 4 | Issue: 1 | Pages: 2

10.3390/biomedicines4010002 | PMID 28536370 Get It

Cell therapy is an emerging form of treatment for several liver diseases, but is limited by the availability of donor livers. Stem cells hold promise as an alternative to the use of primary hepatocytes. We performed an exhaustive review of the literature, with a focus on the latest studies involving the use of stem cells for the treatment of liver disease. Stem cells can be harvested from a number of sources, or can be generated from somatic cells to create induced pluripotent stem cells (iPSCs). Different cell lines have been used experimentally to support liver function and treat inherited metabolic disorders, acute liver failure, cirrhosis, liver cancer, and small-for-size liver transplantations. Cell-based therapeutics may involve gene therapy, cell transplantation, bioartificial liver devices, or bioengineered organs. Research in this field is still very active. Stem cell therapy may, in the future, be used as a bridge to either liver transplantation or endogenous liver regeneration, but efficient differentiation and production protocols must be developed and safety must be demonstrated before it can be applied to clinical practice.
Abstract 4600: Target exome sequencing for disease-causing rare mutations in familial and sporadic lung cancer
Wheeler, David A. , Silverman, Edwin K. , Sanjay, Shete, Tsavachidis, Spiridon, Armstrong, Georgina , Kupert, Elena, Anderson, Marshall W., Li, Yafang , Pikielny, Claudio W. , You, Ming , Gaba, Colette , deAndrade, Mariza, Mandal, Diptasri , Spitz, Margaret R., Liu, Yanhong , Kheradmand, Farrah , Scheurer, Michael E. , Davis, Caleb , Armstrong, Georgina , Bailey‐Wilson, Joan E. , Simpson, Claire L. , Pinney, Susan M. , Amos, Christopher I.

Mayo Clinic

Cancer Research | August 5, 2015 | Volume: 75 | Issue: 15_Supplement | Pages: 4600-4600

10.1158/1538-7445.am2015-4600 Get It

Abstract Background: Recent genome-wide association studies (GWAS) have identified 28 susceptibility loci for Lung cancer (LC), 32 loci for smoking behavior, 10 loci for chronic obstructive pulmonary disease (COPD), 63 loci for pulmonary function and related phenotypes, totaling 107 GWAS susceptibility loci (as of November 2014). Given the common variants that have been found to be associated with LC in GWAS, targeted-region exome sequencing provides a cost-effective approach for further investigation of high-priority regions of the genome and has the great potential to identify rare causal variants in GWAS loci. Patients and Methods: Using an extreme phenotype approach, we selected 48 sporadic LC patients reporting heavy smoking histories with the presence of severe COPD in whom environmental factors are considered overwhelming, and 54 familial LC cases from families with at least three first-degree relatives with LC who are likely enriched for genomic signal, to search for the disease-causing rare mutations within the target 107 GWAS loci using exome sequencing data. Results: By focusing on exome profiles of these target 107 loci, we identified two disease-causing rare mutations on 6p21.32 TNXB p. Arg504His and 10q25.1 CCDC147 p.Arg696Cys. The homozygous Arg504His mutation presented in four familial and one sporadic LC cases. Notably, the minor allele frequency (MAF) of this variant in Caucasians from 1000 Genomes is very rare (&lt;0.001). The heterozygous CCDC147 Arg696Cys variant were identified in two familial cases and one sporadic case. The MAF for this variant in the Caucasians from 1000 Genomes is 0.004. Both deleterious changes lead to truncation of the putative proteins, which disrupts the predicted domain and alters the cellular localization. We also observed several other suggestive rare mutations on G7C, TNS1, DBH1, and CHRNA5. Conclusion: Our target exome sequencing results demonstrate novel highly disruptive LC risk-conferring TNXB and CCDC147 mutations. Since the rare variants have appreciable effects on disease risk prediction, families and patients may warrant screening for mutations in TNXB and CCDC147 (if validated) to assess their potential LC risk. Citation Format: Yanhong Liu, Farrah Kheradmand, Michael Scheurer, Caleb Davis, David Wheeler, Edwin Silverman, Shete Sanjay, Spiridon Tsavachidis, Georgina Armstrong, Elena Kupert, Marshall Anderson, Yafang Li, Claudio Pikielny, Joan E. Bailey-Wilson, Ming You, Colette Gaba, Mariza DeAndrade, Diptasri Mandal, Claire Simpson, Susan Pinney, Christopher Amos, Margaret Spitz. Target exome sequencing for disease-causing rare mutations in familial and sporadic lung cancer. [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 4600. doi:10.1158/1538-7445.AM2015-4600
Abstract 3745: Comprehensive integrative characterization of hepatocellular carcinoma: The TCGA HCC project
Roberts, Lewis R. , Wheeler, David A. , Roberts, Lewis R

Mayo Clinic

Cancer Research | August 5, 2015 | Volume: 75 | Issue: 15_Supplement | Pages: 3745-3745

10.1158/1538-7445.am2015-3745 Get It

Abstract Background: Hepatocellular carcinomas (HCCs) are heterogenous primary liver cancers with pleomorphic histologic features. We present a comprehensive genetic, genomic, transcriptomic and proteomic analysis of 203 HCCs in The Cancer Genome Atlas Program (TCGA) on behalf of the TCGA Liver analysis working group to provide a deeper understanding of the molecular features of HCCs, to classify them in a clinically-relevant manner, and to provide a public resource that identifies potential targets for emerging therapies.Results: Mutation analyses confirmed the presence of TERT promoter mutations in 40% of HCCs. The analysis also revealed the first reported germline mutation in the TERT promoter in a 30 year old male, possibly reflecting an inherited predisposition to HCC. TERT promoter mutations were enriched in hepatitis C virus infected subjects. Analyses of hepatitis B virus (HBV)-induced HCCs demonstrated recurrent integrations of HBV in the TERT locus. Thus, HBV integration may substitute for TERT promoter mutations as an alternate mechanism of telomerase activation. Other tumor suppressor genes inactivated by mutation included the cell cycle genes TP53 (32% of cases), RB1 (8%), and PTEN (3%), the Wnt/beta catenin pathway gene AXIN1 (4%), and the chromatin remodeling genes ARID1A (9%), BAP1 (6%), ARID1B (4%), ARID2 (4%), and PBRM1 (3%). The oncogene CTNNB1 was mutated in 27% of HCCs. Mutations were also found in the MTOR pathway genes, MTOR (4%), TSC2 (4%) and TSC1 (3%). The patterns of mutational signatures observed included signatures characteristic of the known carcinogens aristolochic acid and aflatoxin B1. Clustering of mRNA, miRNA, or protein expression, DNA hypermethylation and DNA copy number profiles identified five, four, two, five and three clusters, respectively. Analysis of mRNA expression data identified five groups. In particular, Group 1 was associated with Asian race, higher histologic grade, and micro- and macrovascular invasion. Integrated clustering showed a grouping of HCCs into three superclusters: iCluster 1 had a low frequency of CDKN2A silencing, lack of CTNNB1 mutation, a normal-like methylation pattern, and overexpression of proliferation marker genes; iClusters 2 and 3 had a high frequency of CDKN2A silencing, CTNNB1 mutation, and overexpression of oxidative response genes; iCluster 3 tumors had a higher degree of chromosomal instability, high frequency of 17p loss, and a highly altered methylation profile. Copy number aberrations included gains in the MYC, VEGFA, CCND1, TERT, and MET loci and losses in the TP53, RB1, ERFFI1, CDKN2A, ARID1A and PTEN loci. Discussion: Based on integrated analysis of genome, transcriptome, methylome and proteome we showed that HCCs naturally separate into three to five distinct groups with associated molecular and clinical characteristics. Importantly, we identified a novel germline mutation in the TERT promoter that may be associated with an inherited risk for HCC. Note: This abstract was not presented at the meeting. Citation Format: Lewis R. Roberts, David A. Wheeler. Comprehensive integrative characterization of hepatocellular carcinoma: The TCGA HCC project. [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 3745. doi:10.1158/1538-7445.AM2015-3745
Analysis of Environmental Chemical Mixtures and Non-Hodgkin Lymphoma Risk in the NCI-SEER NHL Study
Czarnota, Jenna, Colt, Joanne S., Roos, Anneclaire J. De , Severson, Richard K., Hartge, Patricia, Wheeler, David C. , Gennings, Chris , Cerhan, James R. , Ward, Mary H. , De Roos, Anneclaire J

Mayo Clinic

Environmental Health Perspectives | March 6, 2015 | Volume: 123 | Issue: 10 | Pages: 965-970

10.1289/ehp.1408630 | PMID 25748701 Get It

Abstract Background There are several suspected environmental risk factors for non-Hodgkin lymphoma (NHL). The associations between NHL and environmental chemical exposures have typically been evaluated for individual chemicals (i.e., one-by-one). Objectives We determined the association between a mixture of 27 correlated chemicals measured in house dust and NHL risk. Methods We conducted a population-based case–control study of NHL in four National Cancer Institute–Surveillance, Epidemiology, and End Results centers—Detroit, Michigan; Iowa; Los Angeles County, California; and Seattle, Washington—from 1998 to 2000. We used weighted quantile sum (WQS) regression to model the association of a mixture of chemicals and risk of NHL. The WQS index was a sum of weighted quartiles for 5 polychlorinated biphenyls (PCBs), 7 polycyclic aromatic hydrocarbons (PAHs), and 15 pesticides. We estimated chemical mixture weights and effects for study sites combined and for each site individually, and also for histologic subtypes of NHL. Results The WQS index was statistically significantly associated with NHL overall [odds ratio (OR) = 1.30; 95% CI: 1.08, 1.56; p = 0.006; for one quartile increase] and in the study sites of Detroit (OR = 1.71; 95% CI: 1.02, 2.92; p = 0.045), Los Angeles (OR = 1.44; 95% CI: 1.00, 2.08; p = 0.049), and Iowa (OR = 1.76; 95% CI: 1.23, 2.53; p = 0.002). The index was marginally statistically significant in Seattle (OR = 1.39; 95% CI: 0.97, 1.99; p = 0.071). The most highly weighted chemicals for predicting risk overall were PCB congener 180 and propoxur. Highly weighted chemicals varied by study site; PCBs were more highly weighted in Detroit, and pesticides were more highly weighted in Iowa. Conclusions An index of chemical mixtures was significantly associated with NHL. Our results show the importance of evaluating chemical mixtures when studying cancer risk. Citation Czarnota J, Gennings C, Colt JS, De Roos AJ, Cerhan JR, Severson RK, Hartge P, Ward MH, Wheeler DC. 2015. Analysis of environmental chemical mixtures and non-Hodgkin lymphoma risk in the NCI-SEER NHL Study. Environ Health Perspect 123:965–970; http://dx.doi.org/10.1289/ehp.1408630
A preoperative serum signature of CEA+/CA125+/CA19‐9 ≥ 1000 U/mL indicates poor outcome to pancreatectomy for pancreatic cancer
Xu, Huaxiang , Wu, Chuntao , Yang, Jingxuan , Cen, Putao , Xu, Jin , Liu, Chen , Long, Jiang , Guha, Sushovan , Ni, Quanxing, Jatoi, Aminah , Chari, Suresh T. , McCleary‐Wheeler, Angela L. , Fernández-Zapico, Martín E. , Yu, Xianjun , Liu, Liang , Wang, Wenquan , Chen, Yong , Fu, Deliang , Li, Min , Yang, Jingxuan , Chari, Suresh T

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International Journal of Cancer | October 1, 2014 | Volume: 136 | Issue: 9 | Pages: 2216-2227

10.1002/ijc.29242 | PMID 25273947 Get It

Pancreatectomy is associated with significant morbidity and unpredictable outcome, with few diagnostic tools to determine, which patients gain the most benefit from this treatment, especially before the operation. This study aimed to define a preoperative signature panel of serum markers to indicate response to pancreatectomy for pancreatic cancer. Over 1000 patients with pancreatic cancer treated at two independent high‐volume institutions were included in this study and were divided into three groups, including resected, locally advanced and metastatic. Eight serum tumor markers most commonly used in gastrointestinal cancers were analyzed for patient outcome. Preoperative CA19‐9 independently indicated surgical response in pancreatic cancer. Patients with CA19‐9 ≥1000 U/mL generally had a poor surgical benefit. However, a subset of these patients still achieved a survival advantage when CA19‐9 levels decreased postoperatively. CEA and CA125 in the presence of CA19‐9 ≥1000 U/mL could independently predict the non‐decrease of CA19‐9 postoperatively. The combination of the three markers was useful for predicting a worse surgical outcome with a median survival of 5.1 months vs. 23.0 months (p < 0.001) for the training cohort and 7.0 months vs. 18.2 months (p < 0.001) for the validation cohort and also suggested a higher prevalence of early distant metastasis after surgery. Resected patients with this proposed signature showed no survival advantage over patients in the locally advanced group who did not receive pancreatectomy. Therefore, a preoperative serum signature of CEA+/CA125+/CA19‐9 ≥1000 U/mL is associated with poor surgical outcome and can be used to select appropriate patients with pancreatic cancer for pancreatectomy.