Prognostic value of von Willebrand factor, CD34, CD31, and vascular endothelial growth factor expression in women with uterine leiomyosarcomas

Poncelet, Christophe; Fauvet, Rafaelle; Feldmann, Gérard; Walker, Francine; Madelenat, P.; Daraı̈, Émile

doi:10.1002/jso.20055

Cited by 18 publications

(11 citation statements)

References 30 publications

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“…Previous research reported that COL4A2 was overexpressed in fibroid, and that it displayed an anti-angiogenic gene expression profile in fibroids when compared with adjacent normal myometrium. These observations may explain the reduced microvascular density observed in fibroids relative to the myometrium (45) and was in accordance with the reduced microvessel density based on anti-von Willebrand factor immunostaining that was observed in fibroid with respect to normal myometrium (46). Additionally, Gilden et al (47) suggested that protein expression of COL4A2 , versican and fibromodulin was increased in untreated leiomyoma cells compared with untreated patient-matched myometrial cells.…”

Section: Discussionsupporting

confidence: 84%

Combining affinity propagation clustering and mutual information network to investigate key genes in fibroid

Chen

Wang

Liu

et al. 2017

Experimental and Therapeutic Medicine

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The aim of the present study was to investigate key genes in fibroids based on the multiple affinity propogation-Krzanowski and Lai (mAP-KL) method, which included the maxT multiple hypothesis, Krzanowski and Lai (KL) cluster quality index, affinity propagation (AP) clustering algorithm and mutual information network (MIN) constructed by the context likelihood of relatedness (CLR) algorithm. In order to achieve this goal, mAP-KL was initially implemented to investigate exemplars in fibroid, and the maxT function was employed to rank the genes of training and test sets, and the top 200 genes were obtained for further study. In addition, the KL cluster index was applied to determine the quantity of clusters and the AP clustering algorithm was conducted to identify the clusters and their exemplars. Subsequently, the support vector machine (SVM) model was selected to evaluate the classification performance of mAP-KL. Finally, topological properties (degree, closeness, betweenness and transitivity) of exemplars in MIN constructed according to the CLR algorithm were assessed to investigate key genes in fibroid. The SVM model validated that the classification between normal controls and fibroid patients by mAP-KL had a good performance. A total of 9 clusters and exemplars were identified based on mAP-KL, which were comprised of CALCOCO2, COL4A2, COPS8, SNCG, PA2G4, C17orf70, MARK3, BTNL3 and TBC1D13. By accessing the topological analysis for exemplars in MIN, SNCG and COL4A2 were identified as the two most significant genes of four types of methods, and they were denoted as key genes in the progress of fibroid. In conclusion, two key genes (SNCG and COL4A2) and 9 exemplars were successfully investigated, and these may be potential biomarkers for the detection and treatment of fibroid.

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Section: Discussionsupporting

confidence: 84%

Combining affinity propagation clustering and mutual information network to investigate key genes in fibroid

Chen

Wang

Liu

et al. 2017

Experimental and Therapeutic Medicine

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“…MVD, as an indicator of neovascularization, has been reported to be associated with invasiveness and a high grade of malignancy in many types of cancer such as breast cancer, prostatic cancer and laryngeal cancer [23][24][25]. In the case of LMS, the relationship between MVD and outcome has been controversial, and previous studies have mostly involved LMS arising from the uterus [26][27][28].…”

Section: Discussionmentioning

confidence: 99%

Prognostic factors in patients with recurrent or metastatic retroperitoneal leiomyosarcoma

Zhuang

Zhu

et al. 2015

Future Oncol.

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The median PFS in the 22 patients was 9 months. Microvessel density in tumor tissues, which was evaluated via CD34 expression in 16 cases, and the presence of metastasis on admission were both found to be correlated with PFS in a Kaplan-Meier analysis, but not in a multivariate analysis. The multivariate analysis did, however, show that complete resection of tumors and the FNCLCC (Fédération Nationale des Centres de Lutte Contre Le Cancer) disease grade were independent factors predicting PFS.

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“…During physiologic angiogenesis, it is produced by a variety of cells, including neutrophils, platelets and macrophages, but its expression is increased in a variety of tumors [21]. In certain tumors, such as in head and neck, breast, gastric, colorectal, cervical and ovarian CA, elevated levels of VEGF correlates not only with increased microvascular density (MVD) but also with poorer prognosis [7,[34][35][36][37][38]. Its role in tumorigenesis has been extensively studied and reviewed [39].…”

Section: Vegfmentioning

confidence: 99%

VEGF Inhibitors in Cancer Therapy

Cardones

Bañez²

2006

CPD

104

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Vascular endothelial growth factor (VEGF)-mediated angiogenesis is thought to play a critical role in tumor growth and metastasis. Consequently, anti-VEGF therapies are being actively investigated as potential anti-cancer treatments, either as alternatives or adjuncts to conventional chemo or radiation therapy. Among the techniques used to block the VEGF pathway are: 1) neutralizing monoclonal antibodies against VEGF or its receptor, 2) small molecule tyrosine kinase inhibitors of VEGF receptors, 3) soluble VEGF receptors which act as decoy receptors for VEGF, and 4) ribozymes which specifically target VEGF mRNA. Recent evidence from phase III clinical trials led to the approval of bevacizumab, an anti-VEGF monoclonal antibody, by the FDA as first line therapy in metastatic colorectal carcinoma in combination with other chemotherapeutic agents. However, may challenges still remain, and the role of anti-VEGF therapy in the treatment of other solid tumors remains to be elucidated. The aim of this article is to review the progress of clinical investigations involving VEGF inhibitors in the treatment of different types of solid tumors.

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Prognostic value of von Willebrand factor, CD34, CD31, and vascular endothelial growth factor expression in women with uterine leiomyosarcomas

Abstract: Uterine smooth muscle tumors exhibit a lower MVD than normal myometrium, as assessed using anti-FvW or anti-CD34 antibodies. A reduced MVD, as assessed by FvW staining, has prognostic value in uterine LMS.

Cited by 18 publications

References 30 publications

Combining affinity propagation clustering and mutual information network to investigate key genes in fibroid

Combining affinity propagation clustering and mutual information network to investigate key genes in fibroid

Prognostic factors in patients with recurrent or metastatic retroperitoneal leiomyosarcoma

VEGF Inhibitors in Cancer Therapy

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