Literature DB >> 27635065

The Prostate, Lung, Colorectal and Ovarian Cancer (PLCO) Screening Trial Pathology Tissue Resource.

Claire S Zhu1, Wen-Yi Huang2, Paul F Pinsky3, Christine D Berg2, Mark Sherman3, Kelly J Yu2, Danielle M Carrick4, Amanda Black2, Robert Hoover2, Petra Lenz5, Craig Williams6, Laura Hawkins6, Matthew Chaloux6, Susan Yurgalevitch7, Sunitha Mathew7, Amy Miller7, Vanessa Olivo7, Asia Khan7, Shannon M Pretzel8, Deborah Multerer9, Patricia Beckmann10, Karen G Broski11, Neal D Freedman2.   

Abstract

BACKGROUND: Pathology tissue specimens with associated epidemiologic and clinical data are valuable for cancer research. The Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial undertook a large-scale effort to create a public resource of pathology tissues from PLCO participants who developed a cancer during the trial.
METHODS: Formalin-fixed paraffin-embedded tissue blocks were obtained from pathology laboratories on a loan basis for central processing of tissue microarrays, with additional free-standing tissue cores collected for nucleic acid extraction.
RESULTS: Pathology tissue specimens were obtained for prostate cancer (n = 1,052), lung cancer (n = 434), colorectal cancer (n = 675) and adenoma (n = 658), ovarian cancer and borderline tumors (n = 212), breast cancer (n = 870), and bladder cancer (n = 204). The process of creating this resource was complex, involving multidisciplinary teams with expertise in pathology, epidemiology, information technology, project management, and specialized laboratories.
CONCLUSIONS: Creating the PLCO tissue resource required a multistep process, including obtaining medical records and contacting pathology departments where pathology materials were stored after obtaining necessary patient consent and authorization. The potential to link tissue biomarkers to prospectively collected epidemiologic information, screening and clinical data, and matched blood or buccal samples offers valuable opportunities to study etiologic heterogeneity, mechanisms of carcinogenesis, and biomarkers for early detection and prognosis. IMPACT: The methods and protocols developed for this effort, and the detailed description of this resource provided here, will be useful for those seeking to use PLCO pathology tissue specimens for their research and may also inform future tissue collection efforts in other settings. Cancer Epidemiol Biomarkers Prev; 25(12); 1635-42. ©2016 AACR. ©2016 American Association for Cancer Research.

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Year:  2016        PMID: 27635065      PMCID: PMC5135604          DOI: 10.1158/1055-9965.EPI-16-0506

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  15 in total

Review 1.  Molecular pathological epidemiology of colorectal neoplasia: an emerging transdisciplinary and interdisciplinary field.

Authors:  Shuji Ogino; Andrew T Chan; Charles S Fuchs; Edward Giovannucci
Journal:  Gut       Date:  2010-10-29       Impact factor: 23.059

Review 2.  The manufacture and assessment of tissue microarrays: suggestions and criteria for analysis, with breast cancer as an example.

Authors:  Sarah E Pinder; John P Brown; Cheryl Gillett; Colin A Purdie; Valerie Speirs; Alastair M Thompson; Abeer M Shaaban
Journal:  J Clin Pathol       Date:  2012-10-19       Impact factor: 3.411

3.  Archived formalin-fixed paraffin-embedded (FFPE) blocks: A valuable underexploited resource for extraction of DNA, RNA, and protein.

Authors:  Theresa J Kokkat; Miral S Patel; Diane McGarvey; Virginia A LiVolsi; Zubair W Baloch
Journal:  Biopreserv Biobank       Date:  2013-04       Impact factor: 2.300

4.  Differences in risk factors for breast cancer molecular subtypes in a population-based study.

Authors:  Xiaohong R Yang; Mark E Sherman; David L Rimm; Jolanta Lissowska; Louise A Brinton; Beata Peplonska; Stephen M Hewitt; William F Anderson; Neonila Szeszenia-Dabrowska; Alicja Bardin-Mikolajczak; Witold Zatonski; Richard Cartun; Daniza Mandich; Grzegorz Rymkiewicz; Marcin Ligaj; Stanislaw Lukaszek; Radzisaw Kordek; Montserrat García-Closas
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2007-03       Impact factor: 4.254

5.  Genome-wide association study of prostate cancer identifies a second risk locus at 8q24.

Authors:  Meredith Yeager; Nick Orr; Richard B Hayes; Kevin B Jacobs; Peter Kraft; Sholom Wacholder; Mark J Minichiello; Paul Fearnhead; Kai Yu; Nilanjan Chatterjee; Zhaoming Wang; Robert Welch; Brian J Staats; Eugenia E Calle; Heather Spencer Feigelson; Michael J Thun; Carmen Rodriguez; Demetrius Albanes; Jarmo Virtamo; Stephanie Weinstein; Fredrick R Schumacher; Edward Giovannucci; Walter C Willett; Geraldine Cancel-Tassin; Olivier Cussenot; Antoine Valeri; Gerald L Andriole; Edward P Gelmann; Margaret Tucker; Daniela S Gerhard; Joseph F Fraumeni; Robert Hoover; David J Hunter; Stephen J Chanock; Gilles Thomas
Journal:  Nat Genet       Date:  2007-04-01       Impact factor: 38.330

6.  The Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial of the National Cancer Institute: history, organization, and status.

Authors:  J K Gohagan; P C Prorok; R B Hayes; B S Kramer
Journal:  Control Clin Trials       Date:  2000-12

Review 7.  Technology insight: Identification of biomarkers with tissue microarray technology.

Authors:  Jena M Giltnane; David L Rimm
Journal:  Nat Clin Pract Oncol       Date:  2004-12

8.  Establishment of the cancer prevention study II nutrition cohort colorectal tissue repository.

Authors:  Peter T Campbell; Anusila Deka; Peter Briggs; Mine Cicek; Alton B Farris; Mia M Gaudet; Eric J Jacobs; Christina C Newton; Alpa V Patel; Lauren R Teras; Stephen N Thibodeau; Lori Tillmans; Susan M Gapstur
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2014-12       Impact factor: 4.254

9.  A colorectal cancer classification system that associates cellular phenotype and responses to therapy.

Authors:  Anguraj Sadanandam; Costas A Lyssiotis; Krisztian Homicsko; Eric A Collisson; William J Gibb; Stephan Wullschleger; Liliane C Gonzalez Ostos; William A Lannon; Carsten Grotzinger; Maguy Del Rio; Benoit Lhermitte; Adam B Olshen; Bertram Wiedenmann; Lewis C Cantley; Joe W Gray; Douglas Hanahan
Journal:  Nat Med       Date:  2013-04-14       Impact factor: 53.440

Review 10.  Molecular pathology in epidemiologic studies: a primer on key considerations.

Authors:  Mark E Sherman; Will Howatt; Fiona M Blows; Paul Pharoah; Stephen M Hewitt; Montserrat Garcia-Closas
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-03-23       Impact factor: 4.254

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  5 in total

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Authors:  Dhairya A Lakhani; Sheau-Chiann Chen; Sanja Antic; Anel Muterspaugh; Christine Cook; Nancy Liu; Hina Shujat; Sophie Jouan; Brandon Winston; Kim Fields; Janelle Wenstrup; Sara L Block; Amy Hinton; Alexandra Miller; Sarah Atmajoana; John T Helton; Khushbu Patel; Aneri B Balar; Katrina Brewer; Subodh Nag; Rajbir Singh; Anthony Disher; Luis Huerta; Richard Fremont; Otis Rickman; Heidi Chen; Rosana Eisenberg; Kim L Sandler; Alexis Paulson; Ronald C Walker; Chirayu Shah; Gary T Smith; Bennett Landman; Stephen Deppen; Eric L Grogan; Melinda C Aldrich; Pierre P Massion
Journal:  Ann Am Thorac Soc       Date:  2021-07

Review 2.  Integrative analysis of exogenous, endogenous, tumour and immune factors for precision medicine.

Authors:  Shuji Ogino; Jonathan A Nowak; Tsuyoshi Hamada; Amanda I Phipps; Ulrike Peters; Danny A Milner; Edward L Giovannucci; Reiko Nishihara; Marios Giannakis; Wendy S Garrett; Mingyang Song
Journal:  Gut       Date:  2018-02-06       Impact factor: 23.059

3.  Tumor-Associated Stromal Cellular Density as a Predictor of Recurrence and Mortality in Breast Cancer: Results from Ethnically Diverse Study Populations.

Authors:  Montserrat Garcia-Closas; Xiaohong Rose Yang; Mustapha Abubakar; Jing Zhang; Thomas U Ahearn; Hela Koka; Changyuan Guo; Scott M Lawrence; Karun Mutreja; Jonine D Figueroa; Jianming Ying; Jolanta Lissowska; Ning Lyu
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2021-05-05       Impact factor: 4.090

4.  The BC Generations Project as a Tumor Tissue Resource for Cancer Research.

Authors:  Umaimah Zanif; Jessica Chu; Jonathan Simkin; Trevor Dummer; Ryan Woods; Eric Belanger; Parveen Bhatti
Journal:  Curr Oncol       Date:  2022-02-19       Impact factor: 3.677

5.  Genetically predicted circulating protein biomarkers and ovarian cancer risk.

Authors:  Daniel P C Considine; Guochong Jia; Xiang Shu; Joellen M Schildkraut; Paul D P Pharoah; Wei Zheng; Siddhartha P Kar
Journal:  Gynecol Oncol       Date:  2020-11-25       Impact factor: 5.482

  5 in total

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