Literature DB >> 22385923

Prediction in rectal cancer.

Eliane C M Zeestraten1, Peter J K Kuppen, Cornelis J H van de Velde, Corrie A M Marijnen.   

Abstract

The treatment of rectal cancer largely depends on disease stage at diagnosis, based on which patients can be classified as low, intermediate, or high risk. Prognostic and predictive markers, specific to each risk category, can be applied for optimal risk classification and subsequent treatment allocation. These markers are either histopathological, determined with imaging, or have a biomolecular background. This review provides an overview of the current status of treatment options and the use of prognostic and predictive markers in each risk category. An effort was made to identify those markers that are currently lacking in, but have the potential to improve, the clinical decision process by discussing the data from recent studies aimed at the development of new prognostic and predictive markers. At this moment, none of the markers studied has been proven to be of significant, independent value, justifying implementation in daily clinical practice. However, recent developments in imaging techniques and biomolecular research do show great potential. Copyright Â
© 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22385923     DOI: 10.1016/j.semradonc.2011.12.005

Source DB:  PubMed          Journal:  Semin Radiat Oncol        ISSN: 1053-4296            Impact factor:   5.934


  11 in total

1.  Predicting response to neoadjuvant therapy for rectal cancer.

Authors:  S Pucciarelli; L Bacigalupo; I Maretto
Journal:  Tech Coloproctol       Date:  2014-05-20       Impact factor: 3.781

Review 2.  Clinical utility of pretreatment prediction of chemoradiotherapy response in rectal cancer: a review.

Authors:  Byong Chul Yoo; Seung-Gu Yeo
Journal:  EPMA J       Date:  2017-03-03       Impact factor: 6.543

Review 3.  Functional MRI for quantitative treatment response prediction in locally advanced rectal cancer.

Authors:  Trang T Pham; Gary P Liney; Karen Wong; Michael B Barton
Journal:  Br J Radiol       Date:  2017-03-07       Impact factor: 3.039

Review 4.  Use of blood-based biomarkers for early diagnosis and surveillance of colorectal cancer.

Authors:  Ganepola Ap Ganepola; Joel Nizin; John R Rutledge; David H Chang
Journal:  World J Gastrointest Oncol       Date:  2014-04-15

5.  An update on preoperative radiotherapy for locally advanced rectal cancer.

Authors:  Seung-Gu Yeo; Dae Yong Kim
Journal:  J Korean Soc Coloproctol       Date:  2012-08-31

6.  Clinical outcomes of local excision following preoperative chemoradiotherapy for locally advanced rectal cancer.

Authors:  Nam Kwon Lee; Dae Yong Kim; Sun Young Kim; Jae Hwan Oh; Won Park; Doo Ho Choi; Taek-Keun Nam; Kyung-Ja Lee
Journal:  Cancer Res Treat       Date:  2014-04-22       Impact factor: 4.679

7.  Correlation of ultra-high field MRI with histopathology for evaluation of rectal cancer heterogeneity.

Authors:  Trang T Pham; Timothy Stait-Gardner; Cheok Soon Lee; Michael Barton; Petra L Graham; Gary Liney; Karen Wong; William S Price
Journal:  Sci Rep       Date:  2019-06-27       Impact factor: 4.379

8.  Evidence-based Guidelines for Precision Risk Stratification-Based Screening (PRSBS) for Colorectal Cancer: Lessons learned from the US Armed Forces: Consensus and Future Directions.

Authors:  Itzhak Avital; Russell C Langan; Thomas A Summers; Scott R Steele; Scott A Waldman; Vadim Backman; Judy Yee; Aviram Nissan; Patrick Young; Craig Womeldorph; Paul Mancusco; Renee Mueller; Khristian Noto; Warren Grundfest; Anton J Bilchik; Mladjan Protic; Martin Daumer; John Eberhardt; Yan Gao Man; Björn Ldm Brücher; Alexander Stojadinovic
Journal:  J Cancer       Date:  2013-03-01       Impact factor: 4.207

9.  A Predictive Genetic Signature for Response to Fluoropyrimidine-Based Neoadjuvant Chemoradiation in Clinical Stage II and III Rectal Cancer.

Authors:  Jason Chan; Michael T Kinsella; Joseph E Willis; Huankai Hu; Harry Reynolds; Conor Delaney; Andrea McCulla; Steve Deharo; Miika Ahdesmäki; Wendy Louise Allen; Patrick G Johnston; Timothy J Kinsella
Journal:  Front Oncol       Date:  2013-11-25       Impact factor: 6.244

10.  Epigenetic status of LINE-1 predicts clinical outcome in early-stage rectal cancer.

Authors:  A Benard; C J H van de Velde; L Lessard; H Putter; L Takeshima; P J K Kuppen; D S B Hoon
Journal:  Br J Cancer       Date:  2013-11-12       Impact factor: 7.640

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