Literature DB >> 8816840

Predicting response to therapy of squamous cell carcinoma of the head and neck (review).

J Wennerberg1.   

Abstract

The design of treatment for patients with squamous cell carcinoma of the head and neck (SCCHN) is based on prognostic factors, today essentially performance status and TNM status. It becomes increasingly important to optimise treatment and find the appropriate level of treatment and resource consumption for each patient. This can be achieved by means of complementary "biological staging' using predictive factors. A predictive factor contains prognostic information but can also be used to choose between alternative treatments. Candidate variables for prediction of the outcome of chemotherapy are tumour ploidy status, the level of circulating C1q-complexes, the level of p53 expression, and resistance/sensitivity measured by in vitro assays. Several variables and assays capable of predicting response to radiotherapy have been proposed, e.g. the surviving fraction 2 Gy (SF2), potential tumour doubling time (Tpot), and the micronucleus assay. As none of these have yet proved to be of clinical value in a prospective randomised trial, continued studies are well worthwhile.

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Year:  1996        PMID: 8816840

Source DB:  PubMed          Journal:  Anticancer Res        ISSN: 0250-7005            Impact factor:   2.480


  5 in total

1.  Hamming clustering techniques for the identification of prognostic indices in patients with advanced head and neck cancer treated with radiation therapy.

Authors:  G Paoli; M Muselli; R Bellazzi; R Corvó; D Liberati; F Foppiano
Journal:  Med Biol Eng Comput       Date:  2000-09       Impact factor: 2.602

2.  Prediction of treatment response in head and neck cancer by magnetic resonance spectroscopy.

Authors:  Tedros Bezabeh; Olva Odlum; Richard Nason; Paul Kerr; Donna Sutherland; Rakesh Patel; Ian C P Smith
Journal:  AJNR Am J Neuroradiol       Date:  2005-09       Impact factor: 3.825

3.  Prediction of disease-free survival in patients with squamous cell carcinomas of the head and neck using dynamic contrast-enhanced MR imaging.

Authors:  S Chawla; S Kim; L A Loevner; W-T Hwang; G Weinstein; A Chalian; H Quon; H Poptani
Journal:  AJNR Am J Neuroradiol       Date:  2011-02-24       Impact factor: 3.825

4.  Impact of FDG-PET on prediction of clinical outcome after concurrent chemoradiotherapy in hypopharyngeal carcinoma.

Authors:  Hidenori Inohara; Keisuke Enomoto; Yoichiro Tomiyama; Ichiro Higuchi; Takehiro Inoue; Jun Hatazawa
Journal:  Mol Imaging Biol       Date:  2009-05-07       Impact factor: 3.488

5.  Beta-catenin and epithelial tumors: a study based on 374 oropharyngeal cancers.

Authors:  Angela Santoro; Giuseppe Pannone; Silvana Papagerakis; H Stan McGuff; Barbara Cafarelli; Silvia Lepore; Salvatore De Maria; Corrado Rubini; Marilena Mattoni; Stefania Staibano; Ernesto Mezza; Gaetano De Rosa; Gabriella Aquino; Simona Losito; Carla Loreto; Salvatore Crimi; Pantaleo Bufo; Lorenzo Lo Muzio
Journal:  Biomed Res Int       Date:  2014-01-08       Impact factor: 3.411

  5 in total

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