Literature DB >> 22385921

Biological predictors of cervical cancer response to radiation therapy.

Ann H Klopp1, Patricia J Eifel.   

Abstract

The addition of cisplatin-based chemotherapy to standard radiation therapy reduces the risk of recurrence and disease-related death rates from locally advanced cervical cancers by as much as 50%. However, the absolute gains are relatively small for patients with early tumors, many of whom would have been cured with radiation alone, and recurrence rates are still high for patients who have very large or advanced-stage tumors. As a result, there is a pressing need for more accurate predictors of radiocurability. A variety of types of biomarkers have been shown to correlate with cervical cancer response to radiation therapy. These include traditional clinical and morphologic predictors, non-molecular biomarkers, including hypoxia and fluorodeoxyglucose-positron emission tomography (FDG-PET) avidity, as well as molecular biomarkers, which include single-gene markers or array-based multigene predictors. Multi-gene predictors of response remain immature in cervical cancer, but studies thus far have paved the way for future studies to validate these findings. Methods will need to be standardized and markers will need to be validated on homogeneous patient populations and treatment approaches before they can become useful tools for clinical decision making. In addition, new biomarkers will be of major value only if they add to the predictive value of traditional clinical and morphologic predictors. Ultimately, the most useful biomarkers will identify patients who will benefit from specific molecularly targeted agents in addition to radiation therapy or perhaps identify patient who are at low risk for recurrence, for whom the dose of radiation or chemotherapy can be reduced. Copyright Â
© 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22385921     DOI: 10.1016/j.semradonc.2011.12.009

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


  12 in total

Review 1.  Predicting outcomes in radiation oncology--multifactorial decision support systems.

Authors:  Philippe Lambin; Ruud G P M van Stiphout; Maud H W Starmans; Emmanuel Rios-Velazquez; Georgi Nalbantov; Hugo J W L Aerts; Erik Roelofs; Wouter van Elmpt; Paul C Boutros; Pierluigi Granone; Vincenzo Valentini; Adrian C Begg; Dirk De Ruysscher; Andre Dekker
Journal:  Nat Rev Clin Oncol       Date:  2012-11-20       Impact factor: 66.675

2.  Chemoradiotherapy response prediction model by proteomic expressional profiling in patients with locally advanced cervical cancer.

Authors:  Chel Hun Choi; Joon-Yong Chung; Jun Hyeok Kang; E Sun Paik; Yoo-Young Lee; Won Park; Sun-Ju Byeon; Eun Joo Chung; Byoung-Gie Kim; Stephen M Hewitt; Duk-Soo Bae
Journal:  Gynecol Oncol       Date:  2020-02-24       Impact factor: 5.482

Review 3.  Indications for and complications of transfusion and the management of gynecologic malignancies.

Authors:  Paulina Cybulska; Cheryl Goss; William P Tew; Rekha Parameswaran; Yukio Sonoda
Journal:  Gynecol Oncol       Date:  2017-05-18       Impact factor: 5.482

4.  The Microenvironment of Cervical Carcinoma Xenografts: Associations with Lymph Node Metastasis and Its Assessment by DCE-MRI.

Authors:  Christine Ellingsen; Stefan Walenta; Tord Hompland; Wolfgang Mueller-Klieser; Einar K Rofstad
Journal:  Transl Oncol       Date:  2013-10-01       Impact factor: 4.243

5.  Combined measurement of tumor perfusion and glucose metabolism for improved tumor characterization in advanced cervical carcinoma. A PET/CT pilot study using [15O]water and [18F]fluorodeoxyglucose.

Authors:  I Apostolova; F Hofheinz; R Buchert; I G Steffen; R Michel; C Rosner; V Prasad; C Köhler; T Derlin; W Brenner; S Marnitz
Journal:  Strahlenther Onkol       Date:  2014-02-18       Impact factor: 3.621

Review 6.  Functional imaging to predict tumor response in locally advanced cervical cancer.

Authors:  Tara D Barwick; Alexandra Taylor; Andrea Rockall
Journal:  Curr Oncol Rep       Date:  2013-12       Impact factor: 5.075

7.  Tumoral and stromal expression of MMP-2, MMP-9, MMP-14, TIMP-1, TIMP-2, and VEGF-A in cervical cancer patient survival: a competing risk analysis.

Authors:  Jordana Maria Azevedo Martins; Silvia Helena Rabelo-Santos; Maria Cristina do Amaral Westin; Luiz Carlos Zeferino
Journal:  BMC Cancer       Date:  2020-07-15       Impact factor: 4.430

8.  ERCC1 mRNA levels can predict the response to cisplatin-based concurrent chemoradiotherapy of locally advanced cervical squamous cell carcinoma.

Authors:  Zhou-lan Bai; Yan-yang Wang; Hong Zhe; Jian-li He; Ping Hai
Journal:  Radiat Oncol       Date:  2012-12-23       Impact factor: 3.481

9.  Hypoxia biomarkers in squamous cell carcinoma of the uterine cervix.

Authors:  Christine Ellingsen; Lise Mari K Andersen; Kanthi Galappathi; Einar K Rofstad
Journal:  BMC Cancer       Date:  2015-10-26       Impact factor: 4.430

10.  Correlation between hematological parameters and outcome in patients with locally advanced cervical cancer treated by concomitant chemoradiotherapy.

Authors:  Christine Gennigens; Marjolein De Cuypere; Laurence Seidel; Johanne Hermesse; Annelore Barbeaux; Frédéric Forget; Adelin Albert; Guy Jerusalem; Frédéric Kridelka
Journal:  Cancer Med       Date:  2020-09-20       Impact factor: 4.452

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