Literature DB >> 17499868

Differential risk assessments from five hypoxia specific assays: The basis for biologically adapted individualized radiotherapy in advanced head and neck cancer patients.

Marianne Nordsmark1, Jesper Grau Eriksen, Val Gebski, Jan Alsner, Michael R Horsman, Jens Overgaard.   

Abstract

PURPOSE: Hypoxia adversely relates with prognosis in human tumours. Five hypoxia specific predictive marker assays were compared and correlated with definitive radiotherapy. PATIENTS AND METHODS: Sixty-seven patients with advanced head and neck carcinomas were studied for pre-treatment plasma osteopontin measured by ELISA, tumour oxygenation status using pO(2) needle electrodes and tumour osteopontin, hypoxia inducible factor 1alpha (HIF-1alpha) and carboxyanhydrase 9 (CA9) by immunohistochemistry. The primary treatment was radiotherapy and the hypoxic radiosensitizer nimorazole. Loco-regional tumour control was evaluated at 5 years.
RESULTS: All five markers showed inter-tumour variability. Inter-marker correlations were inconsistent. Only plasma osteopontin inversely correlated with median tumour pO(2), (p=0.02, r=0.28) and CA9 correlated with HIF-1alpha (p<0.01, r=0.45). In Kaplan-Meier analysis high plasma osteopontin, high HIF-1alpha and high proportion of tumour pO(2)2.5mmHg (HP(2.5)) related significantly with poorer loco-regional control, whereas CA9 and tumour osteopontin failed to predict loco-regional control in this set dataset. When analyzing Hb, stage, and the five markers by competing risks HP(2.5) was the strongest variable to predict for loco-regional tumour control.
CONCLUSION: There was diversity and lack of correlation among five different hypoxia assays within individual tumours. High plasma osteopontin, high HIF-1alpha and high proportion of tumour pO(2)2.5mmHg (HP(2.5)) related significantly with poorer loco-regional control, whereas CA9 and tumour OPN failed to predict local control.

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Year:  2007        PMID: 17499868     DOI: 10.1016/j.radonc.2007.04.021

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  26 in total

1.  Basal HIF-1α expression levels are not predictive for radiosensitivity of human cancer cell lines.

Authors:  D Schilling; C Bayer; K Emmerich; M Molls; P Vaupel; R M Huber; G Multhoff
Journal:  Strahlenther Onkol       Date:  2012-02-10       Impact factor: 3.621

Review 2.  Individualization of cancer treatment from radiotherapy perspective.

Authors:  Ala Yaromina; Mechthild Krause; Michael Baumann
Journal:  Mol Oncol       Date:  2012-02-09       Impact factor: 6.603

Review 3.  Hypoxia gene expression signatures as predictive biomarkers for personalising radiotherapy.

Authors:  Lingjian Yang; Catharine Ml West
Journal:  Br J Radiol       Date:  2018-03-20       Impact factor: 3.039

4.  Disturbance in the regulation of miR 17-92 cluster on HIF-1-α expression contributes to clinically relevant radioresistant cells: an in vitro study.

Authors:  Mehryar Habibi Roudkenar; Motoi Fukumoto; Amaneh Mohammadi Roushandeh; Youshikazu Kuwahra; Yusuke Uroshihara; Hiroshi Harada; Manabu Fukumoto
Journal:  Cytotechnology       Date:  2020-01-08       Impact factor: 2.058

Review 5.  Contribution of hypoxia-measuring molecular imaging techniques to radiotherapy planning and treatment.

Authors:  Carlos Ferrer Albiach; Antonio Conde Moreno; Marta Rodríguez Cordón; Virginia Morillo Macías; Ana Bouché Babiloni; Inmaculada Beato Tortajada; Angel Sánchez Iglesias; Alicia Francés Muñoz
Journal:  Clin Transl Oncol       Date:  2010-01       Impact factor: 3.405

6.  Elevated tumor and serum levels of the hypoxia-associated protein osteopontin are associated with prognosis for soft tissue sarcoma patients.

Authors:  Matthias Bache; Matthias Kappler; Henri Wichmann; Swetlana Rot; Antje Hahnel; Thomas Greither; Harun M Said; Matthias Kotzsch; Peter Würl; Helge Taubert; Dirk Vordermark
Journal:  BMC Cancer       Date:  2010-04-08       Impact factor: 4.430

7.  Effects of osteopontin inhibition on radiosensitivity of MDA-MB-231 breast cancer cells.

Authors:  Antje Hahnel; Henri Wichmann; Matthias Kappler; Matthias Kotzsch; Dirk Vordermark; Helge Taubert; Matthias Bache
Journal:  Radiat Oncol       Date:  2010-09-17       Impact factor: 3.481

Review 8.  Clinical biomarkers for hypoxia targeting.

Authors:  Quynh-Thu Le; Don Courter
Journal:  Cancer Metastasis Rev       Date:  2008-09       Impact factor: 9.264

Review 9.  The tumor microenvironment and metastatic disease.

Authors:  Sarah Jane Lunt; Naz Chaudary; Richard P Hill
Journal:  Clin Exp Metastasis       Date:  2008-06-10       Impact factor: 5.150

10.  Identification of osteopontin-dependent signaling pathways in a mouse model of human breast cancer.

Authors:  Zhiyong Mi; Hongtao Guo; Paul C Kuo
Journal:  BMC Res Notes       Date:  2009-07-01
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