Literature DB >> 19286329

Synergistic effects of hemoglobin and tumor perfusion on tumor control and survival in cervical cancer.

Nina A Mayr1, Jian Z Wang, Dongqing Zhang, Joseph F Montebello, John C Grecula, Simon S Lo, Jeffery M Fowler, William T C Yuh.   

Abstract

PURPOSE: The tumor oxygenation status is likely influenced by two major factors: local tumor blood supply (tumor perfusion) and its systemic oxygen carrier, hemoglobin (Hgb). Each has been independently shown to affect the radiotherapy (RT) outcome in cervical cancer. This study assessed the effect of local tumor perfusion, systemic Hgb levels, and their combination on the treatment outcome in cervical cancer. METHODS AND MATERIALS: A total of 88 patients with cervical cancer, Stage IB2-IVA, who were treated with RT/chemotherapy, underwent serial dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) before RT, at 20-22 Gy, and at 45-50 Gy. The DCE-MRI perfusion parameters, mean and lowest 10th percentile of the signal intensity distribution in the tumor pixels, and the Hgb levels, including pre-RT, nadir, and mean Hgb (average of weekly Hgb during RT), were correlated with local control and disease-specific survival. The median follow-up was 4.6 years.
RESULTS: Local recurrence predominated in the group with both a low mean Hgb (<11.2 g/dL) and low perfusion (lowest 10th percentile of signal intensity <2.0 at 20-22 Gy), with a 5-year local control rate of 60% vs. 90% for all other groups (p = .001) and a disease-specific survival rate of 41% vs. 72% (p = .008), respectively. In the group with both high mean Hgb and high perfusion, the 5-year local control rate and disease-specific survival rate was 100% and 78%, respectively.
CONCLUSION: These results suggest that the compounded effects of Hgb level and tumor perfusion during RT influence the radioresponsiveness and survival in cervical cancer patients. The outcome was worst when both were impaired. The management of Hgb may be particularly important in patients with low tumor perfusion.

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Year:  2009        PMID: 19286329     DOI: 10.1016/j.ijrobp.2008.09.050

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  8 in total

1.  Sequential magnetic resonance imaging of cervical cancer: the predictive value of absolute tumor volume and regression ratio measured before, during, and after radiation therapy.

Authors:  Jian Z Wang; Nina A Mayr; Dongqing Zhang; Kaile Li; John C Grecula; Joseph F Montebello; Simon S Lo; William T C Yuh
Journal:  Cancer       Date:  2010-11-01       Impact factor: 6.860

Review 2.  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

3.  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

4.  Perfusion CT in squamous cell carcinoma of the upper aerodigestive tract: long-term predictive value of baseline perfusion CT measurements.

Authors:  S Bisdas; Z Rumboldt; K Surlan-Popovic; M Baghi; T S Koh; T J Vogl; M G Mack
Journal:  AJNR Am J Neuroradiol       Date:  2009-10-29       Impact factor: 3.825

Review 5.  Quantifying tumor vascular heterogeneity with dynamic contrast-enhanced magnetic resonance imaging: a review.

Authors:  Xiangyu Yang; Michael V Knopp
Journal:  J Biomed Biotechnol       Date:  2011-04-26

6.  Prognostic significance of a combined and controlled nutritional status score and EBV-DNA in patients with advanced nasopharyngeal carcinoma: a long-term follow-up study.

Authors:  Hui Lu; Shanshan Guo; Liting Liu; Qiuyan Chen; Yujing Liang; Sailan Liu; Xuesong Sun; Qingnan Tang; Xiaoyun Li; Ling Guo; Haoyuan Mo; Linquan Tang; Haiqiang Mai
Journal:  Cancer Biol Med       Date:  2021-06-16       Impact factor: 5.347

7.  A role for dynamic contrast-enhanced magnetic resonance imaging in predicting tumour radiation response.

Authors:  Rami R Hallac; Heling Zhou; Rajesh Pidikiti; Kwang Song; Timothy Solberg; Vikram D Kodibagkar; Peter Peschke; Ralph P Mason
Journal:  Br J Cancer       Date:  2016-05-03       Impact factor: 7.640

8.  Pilot study of combined FDG-PET and dynamic contrast-enhanced CT of locally advanced cervical carcinoma before and during concurrent chemoradiotherapy suggests association between changes in tumor blood volume and treatment response.

Authors:  Thomas I Banks; Rie von Eyben; Dimitre Hristov; Elizabeth A Kidd
Journal:  Cancer Med       Date:  2018-07-02       Impact factor: 4.452

  8 in total

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