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TP53 is not a prognostic markerâ clinical consequences of a generally disregarded fact

dc.contributor.authorBraunschmid, Tamara
dc.contributor.authorKührer, Irene
dc.contributor.authorMittlböck, Martina
dc.contributor.authorWesterhoff, Maria
dc.contributor.authorKappel‐latif, Sonja
dc.contributor.authorBrammen, Lindsay
dc.contributor.authorKrishnadath, Kausilia K.
dc.contributor.authorPhillips, Wayne A.
dc.contributor.authorGnant, Michael
dc.contributor.authorKandioler, Daniela
dc.date.accessioned2019-01-15T20:23:24Z
dc.date.available2020-02-03T20:18:24Zen
dc.date.issued2018-12
dc.identifier.citationBraunschmid, Tamara; Kührer, Irene ; Mittlböck, Martina ; Westerhoff, Maria; Kappel‐latif, Sonja ; Brammen, Lindsay; Krishnadath, Kausilia K.; Phillips, Wayne A.; Gnant, Michael; Kandioler, Daniela (2018). "TP53 is not a prognostic markerâ clinical consequences of a generally disregarded fact." Annals of the New York Academy of Sciences 1434(1): 46-53.
dc.identifier.issn0077-8923
dc.identifier.issn1749-6632
dc.identifier.urihttps://hdl.handle.net/2027.42/146810
dc.description.abstractTechnological progress within the last 15â 20 years has significantly increased our knowledge about the molecular basis of cancer development, tumor progression, and treatment response. As a consequence, a vast number of biomarkers have been proposed, but only a small fraction of them have found their way into clinical use. The aim of this paper is to describe the specific demands a clinically relevant biomarker should meet and how biomarkers can be tested stepwise. We name this procedure the â tripleâ R principleâ : robustness, reproducibility, and relevance. The usefulness of this principle is illustrated with the marker TP53. Since it is mutated in a broad spectrum of cancer entities, TP53 can be considered a very promising marker. Thus, TP53 has been studied in detail but there is still no explicit consensus about its clinical value. By considering our own experience and reviewing the literature, we demonstrate that a major problem of current biomarker research is disregard of whether the biomarker is prognostic or predictive. As an example, it is demonstrated that TP53 is not a prognostic marker, but rather a purely predictive marker, and that disregard of this fact has made this otherwise strong biomarker appear as not being clinically useful so far.Many biomarkers have been proposed for cancer, but only a small fraction of them are clinically useful. This paper describes the specific demands a clinically relevant biomarker should meet and how biomarkers can be tested stepwise. This is illustrated with the marker TP53, which has been studied in detail but for which there is still no explicit consensus about its clinical value.
dc.publisherWiley Periodicals, Inc.
dc.publisherSpringer
dc.subject.otherprognostic biomarker
dc.subject.otherpredictive biomarker
dc.subject.otherp53
dc.subject.othercancer
dc.titleTP53 is not a prognostic markerâ clinical consequences of a generally disregarded fact
dc.typeArticleen_US
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelScience (General)
dc.subject.hlbtoplevelScience
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/146810/1/nyas13947.pdf
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/146810/2/nyas13947_am.pdf
dc.identifier.doi10.1111/nyas.13947
dc.identifier.sourceAnnals of the New York Academy of Sciences
dc.identifier.citedreferenceRajendra, S. et al. 2017. Active human papillomavirus involvement in Barrett’s dysplasia and oesophageal adenocarcinoma is characterized by wildâ type p53 and aberrations of the retinoblastoma protein pathway. Int. J. Cancer 141: 2037 â 2049.
dc.identifier.citedreferenceKressner, U. et al. 1999. Prognostic value of p53 genetic changes in colorectal cancer. J. Clin. Oncol. 17: 593 â 599.
dc.identifier.citedreferenceDuffy, M.J. et al. 2007. Tumour markers in colorectal cancer: European Group on Tumour Markers (EGTM) guidelines for clinical use. Eur. J. Cancer 43: 1348 â 1360.
dc.identifier.citedreferenceLevine, A.J. & M. Oren. 2009 The first 30 years of p53: growing ever more complex. Nat. Rev. Cancer 9: 749 â 758.
dc.identifier.citedreferenceGasparini, G. & D.F. Hayes. 2008. Biomarkers in Breast Cancerâ Molecular Diagnostics for Predicting and Monitoring Therapeutic Effect. Springer.
dc.identifier.citedreferenceMehta, S. et al. 2010. Predictive and prognostic molecular markers for cancer medicine. Ther. Adv. Med. Oncol. 2: 125 â 148.
dc.identifier.citedreferenceBallman, K.V. 2015. Biomarker: predictive or prognostic? J. Clin. Oncol. 33: 3968 â 3971.
dc.identifier.citedreferenceSargent, D.J. et al. 2005. Clinical trial designs for predictive marker validation in cancer treatment trials. J. Clin. Oncol. 23: 2020 â 2027.
dc.identifier.citedreferencePilat, N. et al. 2015. Assessing the TP53 marker type in patients treated with or without neoadjuvant chemotherapy for resectable colorectal liver metastases: a p53 Research Group study. Eur. J. Surg. Oncol. 41: 683 â 689.
dc.identifier.citedreferenceMa, X. et al. 2014. Significance of TP53 mutations as predictive markers of adjuvant cisplatinâ based chemotherapy in completely resected nonâ smallâ cell lung cancer. Mol. Oncol. 8: 555 â 564.
dc.identifier.citedreferenceKandioler, D. 2008. Personalized medicineâ p53 gene analysis for prediction of response to neoadjuvant therapy in esophageal cancer. Magazine Eur. Med. Oncol. 1: 137 â 142.
dc.identifier.citedreferenceKandioler, D. et al. 2015. TP53 mutational status and prediction of benefit from adjuvant 5â fluorouracil in stage III colon cancer patients. EBioMedicine 2: 825 â 830.
dc.identifier.citedreferenceKandioler, D. et al. 2014. The biomarker TP53 divides patients with neoadjuvantly treated esophageal cancer into 2 subgroups with markedly different outcomes. A p53 Research Group study. J. Thorac. Cardiovasc. Surg. 148: 2280 â 2286.
dc.identifier.citedreferenceKandioler, D. et al. 2002. TP53 genotype but not p53 immunohistochemical result predicts response to preoperative shortâ term radiotherapy in rectal cancer. Ann. Surg. 235: 493 â 498.
dc.identifier.citedreferenceBabinska, A. et al. 2017. Diagnostic and prognostic role of SF1, IGF2, Ki67, p53, adiponectin, and leptin receptors in human adrenal cortical tumors. J. Surg. Oncol. 116: 427 â 433.
dc.identifier.citedreferenceKobel, M. et al. 2016. Optimized p53 immunohistochemistry is an accurate predictor of TP53 mutation in ovarian carcinoma. J. Pathol. Clin. Res. 2: 247 â 258.
dc.identifier.citedreferenceLassmann, T., Y. Hayashizaki & C.O. Daub. 2009. TagDustâ a program to eliminate artifacts from next generation sequencing data. Bioinformatics 25: 2839 â 2840.
dc.identifier.citedreferenceStar, B. et al. 2014. Palindromic sequence artifacts generated during next generation sequencing library preparation from historic and ancient DNA. PLoS One 9: e89676.
dc.identifier.citedreferenceKandioler, D. & R. Jakesz. 2006. P53 as a prognostic and predictive indicator. In Biomarkers in Breast Cancer. Molecular Diagnostics for Predicting and Monitoring Therapeutic Effect. G. Gasparini & D.F. Hayes, Eds.: 193 â 209. Humana Press.
dc.identifier.citedreferenceKappel, S.B., C. Wolf, B. Gacic, et al. 2008. Turning the tables on surgical oncology: the Pancho trial unplugged. Eur. Surg. 40: 277 â 283.
dc.identifier.citedreferenceKappelâ Latif, S. et al. 2018. Pancho trial (p53â adapted neoadjuvant chemotherapy for resectable esophageal cancer) completedâ mutation rate of the marker higher than expected. Eur. Surg. 50: 160 â 166.
dc.identifier.citedreferenceKandioler, D. et al. 1994. Carcinogenâ specific mutations in the p53 tumor suppressor gene in lung cancer. J. Thorac. Cardiovasc. Surg. 107: 1095 â 1098.
dc.identifier.citedreferencePuhalla, H. et al. 2004. p53 analysis in gallbladder cancer: comparison of gene analysis versus immunohistochemistry. Anticancer Res. 24: 1201 â 1206.
dc.identifier.citedreferenceKandioler, D. et al. 1996. Molecular genetic differentiation between primary lung cancers and lung metastases of other tumors. J. Thorac. Cardiovasc. Surg. 111: 827 â 831; discussion 832.
dc.identifier.citedreferenceKappel, S. et al. 2006. Genetic detection of lymph node micrometastases: a selection criterion for liver transplantation in patients with liver metastases after colorectal cancer. Transplantation 81: 64 â 70.
dc.identifier.citedreferenceKandiolerâ Eckersberger, D. et al. 1999. The TP53 genotype but not immunohistochemical result is predictive of response to cisplatinâ based neoadjuvant therapy in stage III nonâ small cell lung cancer. J. Thorac. Cardiovasc. Surg. 117: 744 â 750.
dc.identifier.citedreferenceKandiolerâ Eckersberger, D. et al. 2000. TP53 mutation and p53 overexpression for prediction of response to neoadjuvant treatment in breast cancer patients. Clin. Cancer Res. 6: 50 â 56.
dc.identifier.citedreferenceKandioler, D. et al. 2008. Growing clinical evidence for the interaction of the p53 genotype and response to induction chemotherapy in advanced nonâ small cell lung cancer. J. Thorac. Cardiovasc. Surg. 135: 1036 â 1041.
dc.identifier.citedreferenceWolf, B. et al. 2010. PART 1â p53 adapted preoperative radiotherapy for T2 and T3 rectal cancer. A study of the p53 research group. Eur. Surg. 42: 18 â 23.
dc.identifier.citedreferencePan, Y. et al. 2017. P53 and Kiâ 67 as prognostic markers in tripleâ negative breast cancer patients. PLoS One 12: e0172324.
dc.identifier.citedreferenceScartozzi, M. et al. 2009. Toward molecularly selected chemotherapy for advanced gastric cancer: state of the art and future perspectives. Cancer Treat. Rev. 35: 451 â 462.
dc.identifier.citedreferenceKaserer, K. et al. 2000. Staining patterns of p53 immunohistochemistry and their biological significance in colorectal cancer. J. Pathol. 190: 450 â 456.
dc.identifier.citedreferenceKim, C., Y. Taniyama & S. Paik. 2009. Gene expressionâ based prognostic and predictive markers for breast cancer: a primer for practicing pathologists. Arch. Pathol. Lab. Med. 133: 855 â 859.
dc.identifier.citedreferenceInternational Agency for Research on Cancer, W.H.O. Somatic mutations. Accessed September 1, 2017. http://p53.iarc.fr/TP53SomaticMutations.aspx.
dc.identifier.citedreferenceHollstein, M. et al. 1991. p53 mutations in human cancers. Science 253: 49 â 53.
dc.identifier.citedreferenceMunro, A.J., S. Lain & D.P. Lane. 2005. P53 abnormalities and outcomes in colorectal cancer: a systematic review. Br. J. Cancer 92: 434 â 444.
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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