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Herrmann, K.* ; Walch, A.K. ; Balluff, B.* ; Tänzer, M.* ; Höfler, H.* ; Krause, B.J.* ; Schwaiger, M.* ; Friess, H.* ; Schmid, R.M.* ; Ebert, M.P.*

Proteomic and metabolic prediction of response to therapy in gastrointestinal cancers.

Nat. Rev. Gastroenterol. Hepatol. 6, 170-183 (2009)
DOI PMC
Open Access Green as soon as Postprint is submitted to ZB.
Despite substantial improvements in the diagnosis and treatment of many gastrointestinal cancers, particularly colorectal cancer, numerous patients are only diagnosed in advanced stages of disease, which can preclude curative treatment. Screening and early diagnosis of high-risk individuals might be the most promising approach to improve prognosis; however, molecular biomarkers for early diagnosis of most gastrointestinal cancers are not yet available. The prognosis of patients with advanced gastrointestinal cancers has improved through the development of multimodal treatments and the introduction of targeted therapies. Nonetheless, not all patients benefit equally from these treatment approaches, and toxicity can be substantial. The ability to predict whether a patient will respond to therapy early in their treatment for gastrointestinal cancer may be of particular value to stratify and individualize patient treatment strategies. Despite improvement in the understanding of cancer pathogenesis and progression at the molecular level, the molecular changes that underlie treatment response and/or drug resistance are still largely unknown. PET is the first technique to show promise in prediction of response to therapy, and has resulted in promising advancements, particularly in esophageal and gastric cancers. Tissue-based and blood-based molecular biomarkers are still subject to validation. Prediction of response to treatment could ultimately lead to an overall improvement in prognosis.
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Publication type Article: Journal article
Document type Review
Keywords biomarkers; gastrointestinal cancer; PET; proteome; response prediction; positron-emission-tomography; imaging mass-spectrometry; squamous-cell carcinoma; enhanced laser-desorption; potential serum marker; advanced rectal-cancer; direct tissue-analysis; gastric-cancer; pancreatic-cancer; esophageal cancer
Language english
Publication Year 2009
HGF-reported in Year 2009
ISSN (print) / ISBN 1759-5045
e-ISSN 1759-5053
Quellenangaben Volume: 6, Issue: 3, Pages: 170-183 Article Number: , Supplement: ,
Publisher Nature Publishing Group
Reviewing status Peer reviewed
POF-Topic(s) 30504 - Mechanisms of Genetic and Environmental Influences on Health and Disease
30205 - Bioengineering and Digital Health
Research field(s) Enabling and Novel Technologies
PSP Element(s) G-500300-001
G-500390-001
PubMed ID 19259108
Scopus ID 62549139738
Erfassungsdatum 2009-07-09