Cancer Epidemiology and Prevention by David Schottenfeld, Joseph F. Fraumeni

By David Schottenfeld, Joseph F. Fraumeni

This a lot expected 3rd variation offers a complete presentation of the worldwide burden and styles of melanoma incidence, besides new advancements in our figuring out of melanoma causation and prevention. certain consciousness is given to epidemiologic ways that contain molecular biomarkers according to genomic and different rising applied sciences, offering new insights into the function of genetic predisposition and gene-environment interactions in melanoma induction. moreover, new chapters are incorporated on social classification disparities in melanoma occurrence and mortality, the function of weight problems and actual state of no activity in melanoma etiology, the capability results of electromagnetic fields and rediofrequency radiation, and the foundations of melanoma chemoprevention. The textbook is equipped into 5 sections: easy recommendations; The significance of melanoma; The explanations of melanoma; melanoma through Tissue of foundation; melanoma Prevention and keep watch over. during this re-creation, Drs. David Schottenfeld and Joseph F. Fraumeni, Jr. have enlisted 3 uncommon affiliate Editors: Drs. Jonathan Samet of Johns Hopkins collage, Graham Colditz of Harvard collage and Alice Whittemore of Stanford collage.

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Giordano TJ, Shedden KA, Schwartz DR, Kuick R, Taylor JM, Lee N, Misek DE, Greenson JK, Kardia SL, Beer DG, Rennert G, Cho KR, Gruber SB, Fearon ER, Hanash S. 2001. Organ-specific molecular classification of primary lung, colon, and ovarian adenocarcinomas using gene expression profiles. Am J Pathol 159:1231–1238. Gleason DF, Mellinger GT. 1974. Prediction of prognosis for prostatic adenocarcinoma by combined histological grading and clinical staging. J Urol 111:58–64. Glinsky GV, Glinskii AB, Stephenson AJ, Hoffman RM, Gerald WL.

SAGE offers some benefits over DNA microarrays, such as not having to know the genes to be placed on a microarray and the ability to detect and measure low abundance transcripts. , 2003). SAGE data have been effectively combined with DNA microarray data to focus the list of differentially expressed genes by identifying genes common to both techniques in pancreas cancer (Iacobuzio-Donahue and Hruban, 2003). Single Marker Approaches to Molecular Classification Immunohistochemical assessment of protein expression in tissue sections represents the most elementary form of “molecular” testing for stratifying cancers.

Gene expression profiling predicts clinical outcome of prostate cancer. J Clin Invest 113:913–923. Golub TR, Slonim DK, Tamayo P, Huard C, Gaasenbeek M, Mesirov JP, Coller H, Loh ML, Downing JR, Caligiuri MA, Bloomfield CD, Lander ES. 1999. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science 286:531– 537. Greenson JK, Bonner JD, Ben-Yzhak O, Cohen HI, Miselevich I, Resnick MB, Trougouboff P, Tomsho LD, Kim E, Low M, Almog R, Rennert G, Gruber SB.

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