Extracellular Matrix of Ovarian Tumors

Ricciardelli, Carmela; Rodgers, Raymond J.

doi:10.1055/s-2006-948556

Cited by 116 publications

(96 citation statements)

References 109 publications

(130 reference statements)

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“…Similarly, in the present study increased expression of CTSB and CTSL was noted in cancer, but not normal ovarian tissue, suggesting that CTSB and CTSL are survival prognostic factors in ovarian cancer, and may contribute to the invasiveness of ovarian cancer cells. Regarding their mechanism of action, previous studies indicate that they play a catalytic role (20)(21)(22). First, CTSB and CTSL can act as protease, directly or indirectly, degrading the catalytic extracellular matrix, so that the physical barrier around the tumor cells is destroyed.…”

Section: Discussionmentioning

confidence: 99%

Overexpression of cysteine cathepsin L is a marker of invasion and metastasis in ovarian cancer

Zhang

Wang

et al. 2014

Oncology Reports

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Abstract. Cysteine cathepsins (CTSs) are involved in the degradation and remodeling of the extracellular matrix and are associated with cellular transformation, differentiation, motility and adhesion in cancer development. Previous studies indicate that CTSs may be involved in ovarian cancer invasion and metastasis. However, due to the lack of large sample clinical studies and direct experimental evidence for the relationship between the expression of CTSs and invasion and metastasis, the diagnostic and prognostic value of CTSs in ovarian cancer progression has not been elucidated. In the present study, we observed that expression levels of CTSB, CTSL and CC in malignant ovarian tumors were significantly higher than the expression levels in benign tumors and normal ovarian tissues, yet their associations with clinicopathological features varied. In particular, CTSL was related to lymph node metastasis, CC was related to liver metastasis and omental metastasis, and CTSB and CTSL expression levels were found to be independent prognostic factors in ovarian cancer. Further study indicated that the serum level of CTSL was significantly higher in patients with ovarian malignant tumors than the levels in benign tumors and healthy controls, and the levels were elevated in low grade and advanced stage compared to the levels in high grade and early stage disease, suggesting that the serum level of CTSL may be a useful serum marker for the diagnosis of ovarian cancer. Furthermore, the expression of CTSL in ovarian cancer cells can greatly enhance the ability of cell invasion and metastasis, although no change was observed for cell adhesion. Taken together, we demonstrated that the overexpression of CTSL is involved in tumor invasion and metastasis, and the CTSL level in serum may be a marker for invasion and metastasis in ovarian cancer.

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Section: Discussionmentioning

confidence: 99%

Overexpression of cysteine cathepsin L is a marker of invasion and metastasis in ovarian cancer

Zhang

Wang

et al. 2014

Oncology Reports

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“…1A). Implantation and invasion occurs within a tumour-host interface where cancer and peritoneal cells exchange proteins and peptides, which modify the local ECM and promote metastasis (Gardner et al 1995, Strobel & Cannistra 1999, Freedman et al 2004, Ricciardelli & Rodgers 2006, Said et al 2007, Heyman et al 2008, Kenny et al 2008. Several ECM molecules have recently been identified to regulate the adhesion and invasion of ovarian cancer cells to peritoneal cells; however, an understanding of the cellular and molecular mechanisms involved are only just beginning to emerge (Gardner et al 1996, Freedman et al 2004, Heyman et al 2008, Kenny et al 2008.…”

Section: Introductionmentioning

confidence: 99%

WOMEN IN CANCER THEMATIC REVIEW: Ovarian cancer–peritoneal cell interactions promote extracellular matrix processing

Ricciardelli

Lokman

Ween

et al. 2016

Endocrine-Related Cancer

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Ovarian cancer has a distinct tendency for metastasising via shedding of cancerous cells into the peritoneal cavity and implanting onto the peritoneum that lines the pelvic organs. Once ovarian cancer cells adhere to the peritoneal cells, they migrate through the peritoneal layer and invade the local organs. Alterations in the extracellular environment are critical for tumour initiation, progression and intra-peritoneal dissemination. To increase our understanding of the molecular mechanisms involved in ovarian cancer metastasis and to identify novel therapeutic targets, we recently studied the interaction of ovarian cancer and peritoneal cells using a proteomic approach. We identified several extracellular matrix (ECM) proteins including, fibronectin, TGFBI, periostin, annexin A2 and PAI-1 that were processed as a result of the ovarian cancerperitoneal cell interaction. This review focuses on the functional role of these proteins in ovarian cancer metastasis. Our findings together with published literature support the notion that ECM processing via the plasminogen-plasmin pathway promotes the colonisation and attachment of ovarian cancer cells to the peritoneum and actively contributes to the early steps of ovarian cancer metastasis.

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“…Although traditional pathology focuses on cellular architecture, many recent studies have demonstrated that there is a close correlation between cancer initiation/progression and remodeling of the extracellular matrix (ECM) in the tumor microenvironment (TME). [5][6][7][8][9] For example, changes in collagen composition and morphology in the ECM have been documented for many cancers, including those of the ovary, breast, and colon. 7,[10][11][12] It would then be advantageous to further develop collagen specific microscopic imaging modalities such as second harmonic generation (SHG) imaging microscopy 13 for this purpose.…”

Section: Introductionmentioning

confidence: 99%

Texture analysis applied to second harmonic generation image data for ovarian cancer classification

et al. 2014

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Abstract. Remodeling of the extracellular matrix has been implicated in ovarian cancer. To quantitate the remodeling, we implement a form of texture analysis to delineate the collagen fibrillar morphology observed in second harmonic generation microscopy images of human normal and high grade malignant ovarian tissues. In the learning stage, a dictionary of "textons"-frequently occurring texture features that are identified by measuring the image response to a filter bank of various shapes, sizes, and orientations-is created. By calculating a representative model based on the texton distribution for each tissue type using a training set of respective second harmonic generation images, we then perform classification between images of normal and high grade malignant ovarian tissues. By optimizing the number of textons and nearest neighbors, we achieved classification accuracy up to 97% based on the area under receiver operating characteristic curves (true positives versus false positives). The local analysis algorithm is a more general method to probe rapidly changing fibrillar morphologies than global analyses such as FFT. It is also more versatile than other texture approaches as the filter bank can be highly tailored to specific applications (e.g., different disease states) by creating customized libraries based on common image features. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Extracellular Matrix of Ovarian Tumors

Cited by 116 publications

References 109 publications

Overexpression of cysteine cathepsin L is a marker of invasion and metastasis in ovarian cancer

Overexpression of cysteine cathepsin L is a marker of invasion and metastasis in ovarian cancer

WOMEN IN CANCER THEMATIC REVIEW: Ovarian cancer–peritoneal cell interactions promote extracellular matrix processing

Texture analysis applied to second harmonic generation image data for ovarian cancer classification

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