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Connection

Gertraud Maskarinec to Prognosis

This is a "connection" page, showing publications Gertraud Maskarinec has written about Prognosis.
Connection Strength

0.491
  1. Maskarinec G, Shvetsov YB, Conroy SM, Haiman CA, Setiawan VW, Le Marchand L. Type 2 diabetes as a predictor of survival among breast cancer patients: the multiethnic cohort. Breast Cancer Res Treat. 2019 Feb; 173(3):637-645.
    View in: PubMed
    Score: 0.136
  2. Maskarinec G, Pagano IS, Little MA, Conroy SM, Park SY, Kolonel LN. Mammographic density as a predictor of breast cancer survival: the Multiethnic Cohort. Breast Cancer Res. 2013 Jan 22; 15(1):R7.
    View in: PubMed
    Score: 0.091
  3. Conroy SM, Pagano I, Kolonel LN, Maskarinec G. Mammographic density and hormone receptor expression in breast cancer: the Multiethnic Cohort Study. Cancer Epidemiol. 2011 Oct; 35(5):448-52.
    View in: PubMed
    Score: 0.079
  4. Setiawan VW, Stram DO, Porcel J, Chari ST, Maskarinec G, Le Marchand L, Wilkens LR, Haiman CA, Pandol SJ, Monroe KR. Pancreatic Cancer Following Incident Diabetes in African Americans and Latinos: The Multiethnic Cohort. J Natl Cancer Inst. 2019 01 01; 111(1):27-33.
    View in: PubMed
    Score: 0.034
  5. Bandera EV, Maskarinec G, Romieu I, John EM. Racial and ethnic disparities in the impact of obesity on breast cancer risk and survival: a global perspective. Adv Nutr. 2015 Nov; 6(6):803-19.
    View in: PubMed
    Score: 0.028
  6. Conroy SM, Maskarinec G, Morimoto Y, Franke AA, Cooney RV, Wilkens LR, Goodman MT, Hernadez BY, Le Marchand L, Henderson BE, Kolonel LN. Non-hodgkin lymphoma and circulating markers of inflammation and adiposity in a nested case-control study: the multiethnic cohort. Cancer Epidemiol Biomarkers Prev. 2013 Mar; 22(3):337-47.
    View in: PubMed
    Score: 0.023
  7. Matsuno RK, Pagano IS, Maskarinec G, Issell BF, Gotay CC. Complementary and alternative medicine use and breast cancer prognosis: a pooled analysis of four population-based studies of breast cancer survivors. J Womens Health (Larchmt). 2012 Dec; 21(12):1252-8.
    View in: PubMed
    Score: 0.022
  8. Vachon CM, Scott CG, Fasching PA, Hall P, Tamimi RM, Li J, Stone J, Apicella C, Odefrey F, Gierach GL, Jud SM, Heusinger K, Beckmann MW, Pollan M, Fern?ndez-Navarro P, Gonzalez-Neira A, Benitez J, van Gils CH, Lokate M, Onland-Moret NC, Peeters PH, Brown J, Leyland J, Varghese JS, Easton DF, Thompson DJ, Luben RN, Warren RM, Wareham NJ, Loos RJ, Khaw KT, Ursin G, Lee E, Gayther SA, Ramus SJ, Eeles RA, Leach MO, Kwan-Lim G, Couch FJ, Giles GG, Baglietto L, Krishnan K, Southey MC, Le Marchand L, Kolonel LN, Woolcott C, Maskarinec G, Haiman CA, Walker K, Johnson N, McCormack VA, Biong M, Alnaes GI, Gram IT, Kristensen VN, B?rresen-Dale AL, Lindstr?m S, Hankinson SE, Hunter DJ, Andrulis IL, Knight JA, Boyd NF, Figuero JD, Lissowska J, Wesolowska E, Peplonska B, Bukowska A, Reszka E, Liu J, Eriksson L, Czene K, Audley T, Wu AH, Pankratz VS, Hopper JL, dos-Santos-Silva I. Common breast cancer susceptibility variants in LSP1 and RAD51L1 are associated with mammographic density measures that predict breast cancer risk. Cancer Epidemiol Biomarkers Prev. 2012 Jul; 21(7):1156-66.
    View in: PubMed
    Score: 0.021
  9. Conroy SM, Maskarinec G, Wilkens LR, White KK, Henderson BE, Kolonel LN. Obesity and breast cancer survival in ethnically diverse postmenopausal women: the Multiethnic Cohort Study. Breast Cancer Res Treat. 2011 Sep; 129(2):565-74.
    View in: PubMed
    Score: 0.020
  10. Verheus M, Maskarinec G, Woolcott CG, Haiman CA, Le Marchand L, Henderson BE, Cheng I, Kolonel LN. IGF1, IGFBP1, and IGFBP3 genes and mammographic density: the Multiethnic Cohort. Int J Cancer. 2010 Sep 01; 127(5):1115-23.
    View in: PubMed
    Score: 0.019
  11. Woolcott CG, Maskarinec G, Haiman CA, Verheus M, Pagano IS, Le Marchand L, Henderson BE, Kolonel LN. Association between breast cancer susceptibility loci and mammographic density: the Multiethnic Cohort. Breast Cancer Res. 2009; 11(1):R10.
    View in: PubMed
    Score: 0.017
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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