Quantification of angiogenesis by the Chalkley method and its prognostic significance in epithelial ovarian cancer

Suhonen, Kirsi A.; Anttila, Markku; Sillanpää, Sari; Hämäläinen, Kirsi; Saarikoski, Seppo; Juhola, Martti; Kosma, Veli‐Matti

doi:10.1016/j.ejca.2007.03.007

Cited by 16 publications

(12 citation statements)

References 24 publications

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“…Surprisingly highly vascular tumours showed a better PFS; this result has been shown previously 12. Nevertheless, an inverse relation between vascularity and response to chemotherapy has been described 19.…”

Section: Discussionsupporting

confidence: 62%

“…Reasons for this may be, in addition to inhomogenous groups of patients, different methods of assessing vascular density. The Chalkley assay we used has been suggested as a standard method for angiogenesis quantification in solid tumour sections17 and it has been shown to be reliable in ovarian cancer 12…”

Section: Discussionmentioning

confidence: 99%

“…Vascular density (CD34) was assessed using the Chalkley eyepiece method 11 12. Whole tumour sections were scanned at low magnification under a conference microscope by two observers.…”

Section: Methodsmentioning

confidence: 99%

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VEGF-A and i-NOS expression are prognostic factors in serous epithelial ovarian carcinomas after complete surgical resection

et al. 2009

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Section: Discussionsupporting

confidence: 62%

Section: Discussionmentioning

confidence: 99%

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VEGF-A and i-NOS expression are prognostic factors in serous epithelial ovarian carcinomas after complete surgical resection

et al. 2009

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“…Vascular density was assessed using an antibody against anti-CD34, which is a single-chain transmembrane glycoprotein, associated with human hematopoietic progenitor cells. We used 30 cases of human serous ovarian carcinoma (15 responders and 15 nonresponders) and 28 cases of mice xenograft tumors [14 cases from SKOV-3 and 14 cases from MDAH-2774 (7 cases transduced with miR-484 and 7 cases transduced with EGFP)] and evaluated using the Chalkley eyepiece method (17). In human tumors, the mean microvessel density was 30 ± 1.17 (range = 9-54) for responders and 68 ± 1.6 (range = 15-114) for nonresponders (P = 0.0000002); in mice, it was 9 ± 5.5 (range = 1-18) for SKOV-3-miR-484, 23 ± 12 (range = 5-37) for SKOV-3-EGFP (P = 0.0004), 10 ± 6.2 (range = 4-22) for MDAH-2774-miR-484, and 17 ± 8.9 (range = 5-28) for MDAH-2774-EGFP (P = 0.0009) (Fig.…”

Section: Results Mir Expression In Serous Ovarianmentioning

confidence: 99%

A microRNA signature defines chemoresistance in ovarian cancer through modulation of angiogenesis

Vecchione

Belletti

Lovat

et al. 2013

Proc. Natl. Acad. Sci. U.S.A.

173

133

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Epithelial ovarian cancer is the most lethal gynecologic malignancy; it is highly aggressive and causes almost 125,000 deaths yearly. Despite advances in detection and cytotoxic therapies, a low percentage of patients with advanced stage disease survive 5 y after the initial diagnosis. The high mortality of this disease is mainly caused by resistance to the available therapies. Here, we profiled microRNA (miR) expression in serous epithelial ovarian carcinomas to assess the possibility of a miR signature associated with chemoresistance. We analyzed tumor samples from 198 patients (86 patients as a training set and 112 patients as a validation set) for human miRs. A signature of 23 miRs associated with chemoresistance was generated by array analysis in the training set. Quantitative RT-PCR in the validation set confirmed that three miRs (miR-484, -642, and -217) were able to predict chemoresistance of these tumors. Additional analysis of miR-484 revealed that the sensitive phenotype is caused by a modulation of tumor vasculature through the regulation of the VEGFB and VEGFR2 pathways. We present compelling evidence that three miRs can classify the response to chemotherapy of ovarian cancer patients in a large multicenter cohort and that one of these three miRs is involved in the control of tumor angiogenesis, indicating an option in the treatment of these patients. Our results suggest, in fact, that blockage of VEGF through the use of an anti-VEGFA antibody may not be sufficient to improve survival in ovarian cancer patients unless VEGFB signaling is also blocked.

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“…It was shown that high angiogenesis measured by the Chalkey method predicts poor overall survival in the whole study group and in the advanced stage ovarian cancers. Researchers suggested that, in order to define the clinical significance of this finding in more detail, further studies on other patient materials and perhaps comparison with other evaluation methods of angiogenesis in ovarian cancer should be conducted [50]. …”

Section: The Concepts Of the Automated Cancer Diagnosis And The Assesmentioning

confidence: 99%

Computer-aided Image Processing of Angiogenic Histological Samples in Ovarian Cancer

Sprindzuk¹

2009

J Clin Med Res

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This article reviews the questions regarding the image evaluation of angiogeneic histological samples, particularly the ovarian epithelial cancer. Review is focused on the principles of image analysis in the field of histology and pathology. The definition, classification, pathogenesis and angiogenesis regulation in the ovaries are also briefly discussed. It is hoped that the complex image analysis together with the patient’s clinical parameters will allow an acquiring of a clear pathogenic picture of the disease, extension of the differential diagnosis and become a useful tool for the evaluation of drug effects. The challenge of the assessment of angiogenesis activity is the heterogeneity of several objects: parameters derived from patient’s anamnesis as well as of pathology samples. The other unresolved problems are the subjectivity of the region of interest selection and performance of the whole slide scanning.KeywordsAngiogenesis; Image processing; Microvessel density; Cancer; Pathology

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Quantification of angiogenesis by the Chalkley method and its prognostic significance in epithelial ovarian cancer

Cited by 16 publications

References 24 publications

VEGF-A and i-NOS expression are prognostic factors in serous epithelial ovarian carcinomas after complete surgical resection

VEGF-A and i-NOS expression are prognostic factors in serous epithelial ovarian carcinomas after complete surgical resection

A microRNA signature defines chemoresistance in ovarian cancer through modulation of angiogenesis

Computer-aided Image Processing of Angiogenic Histological Samples in Ovarian Cancer

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