Literature DB >> 25394977

[Mutational tumor profiles beyond organ and tissue specificity: implications for diagnostics and clinical study design].

F Klauschen1.   

Abstract

The diagnostics and therapy of malignant tumors are based on the paradigm that cancer is an organ and tissue-specific disease. Comprehensive tumor mutation profiling data that has recently become available from next generation sequencing projects has made it possible to analyze whether the established anatomical tumor classification is reflected on the genetic level. Here, we review the results of a study on 4796 tumors of 14 major cancer types from the cancer genome atlas (TCGA) database, that on average 43% of tumors of a particular type are genetically more similar to tumors of a different anatomical origin and that the genetic tumor type corresponds to the anatomical type in only 57% of the cases. Furthermore, we discuss the implications of the complex mutation profiles and similarity patterns across cancers for diagnostics and clinical study design and explain why the comprehensive genomic data should be complemented by functional proteomic analyses.

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Year:  2014        PMID: 25394977     DOI: 10.1007/s00292-014-2027-7

Source DB:  PubMed          Journal:  Pathologe        ISSN: 0172-8113            Impact factor:   1.011


  22 in total

1.  An emerging toolkit for targeted cancer therapies.

Authors:  Gordon B Mills
Journal:  Genome Res       Date:  2012-02       Impact factor: 9.043

2.  Precision oncology: an overview.

Authors:  Levi A Garraway; Jaap Verweij; Karla V Ballman
Journal:  J Clin Oncol       Date:  2013-04-15       Impact factor: 44.544

3.  TNM: principles, history, and relation to other prognostic factors.

Authors:  L H Sobin
Journal:  Cancer       Date:  2001-04-15       Impact factor: 6.860

4.  Mass-spectrometry-based draft of the human proteome.

Authors:  Mathias Wilhelm; Judith Schlegl; Hannes Hahne; Amin Moghaddas Gholami; Marcus Lieberenz; Mikhail M Savitski; Emanuel Ziegler; Lars Butzmann; Siegfried Gessulat; Harald Marx; Toby Mathieson; Simone Lemeer; Karsten Schnatbaum; Ulf Reimer; Holger Wenschuh; Martin Mollenhauer; Julia Slotta-Huspenina; Joos-Hendrik Boese; Marcus Bantscheff; Anja Gerstmair; Franz Faerber; Bernhard Kuster
Journal:  Nature       Date:  2014-05-29       Impact factor: 49.962

Review 5.  Lessons from the cancer genome.

Authors:  Levi A Garraway; Eric S Lander
Journal:  Cell       Date:  2013-03-28       Impact factor: 41.582

6.  Proteogenomic characterization of human colon and rectal cancer.

Authors:  Bing Zhang; Jing Wang; Xiaojing Wang; Jing Zhu; Qi Liu; Zhiao Shi; Matthew C Chambers; Lisa J Zimmerman; Kent F Shaddox; Sangtae Kim; Sherri R Davies; Sean Wang; Pei Wang; Christopher R Kinsinger; Robert C Rivers; Henry Rodriguez; R Reid Townsend; Matthew J C Ellis; Steven A Carr; David L Tabb; Robert J Coffey; Robbert J C Slebos; Daniel C Liebler
Journal:  Nature       Date:  2014-07-20       Impact factor: 49.962

7.  Selection and adaptation during metastatic cancer progression.

Authors:  Christoph A Klein
Journal:  Nature       Date:  2013-09-19       Impact factor: 49.962

Review 8.  Existing and emerging technologies for tumor genomic profiling.

Authors:  Laura E MacConaill
Journal:  J Clin Oncol       Date:  2013-04-15       Impact factor: 44.544

9.  The BATTLE trial: personalizing therapy for lung cancer.

Authors:  Edward S Kim; Roy S Herbst; Ignacio I Wistuba; J Jack Lee; George R Blumenschein; Anne Tsao; David J Stewart; Marshall E Hicks; Jeremy Erasmus; Sanjay Gupta; Christine M Alden; Suyu Liu; Ximing Tang; Fadlo R Khuri; Hai T Tran; Bruce E Johnson; John V Heymach; Li Mao; Frank Fossella; Merrill S Kies; Vassiliki Papadimitrakopoulou; Suzanne E Davis; Scott M Lippman; Waun K Hong
Journal:  Cancer Discov       Date:  2011-06-01       Impact factor: 39.397

10.  The combinatorial complexity of cancer precision medicine.

Authors:  Frederick Klauschen; Michael Andreeff; Ulrich Keilholz; Manfred Dietel; Albrecht Stenzinger
Journal:  Oncoscience       Date:  2014-07-23
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