scholarly journals Role of Retinoblastoma Protein Family (Rb/P105 And Rb2/P130) Expression in the Hystopathological Classification of Borderline Ovarian Tumors

2020 ◽  
Author(s):  
Valeria Masciullo ◽  
Paola Valdivieso ◽  
Giulia Amadio ◽  
Angela Santoro ◽  
Giuseppe Angelico ◽  
...  
Keyword(s):  
Tumor Progression ◽  
Cellular Proliferation ◽  
Family Members ◽  
Ovarian Tumors ◽  
Pivotal Role ◽  
Borderline Tumors ◽  
Cytoplasmic Expression ◽  
Borderline Ovarian Tumors ◽  
Diagnosis And Classification

Abstract Background Borderline ovarian tumors (BOT) are uncommon but not rare epithelial ovarian neoplasms, intermediate between benign and malignant categories. Emerging knowledge supports the notion that subtypes of borderline ovarian tumors comprise distinct biologic, pathogenetic, and molecular entities, precluding a single unifying concept for BOT. Therefore, the identification of valuable markers for the diagnosis and classification of these tumors is in need. Among the molecular candidates, the Retinoblastoma (Rb) family members Rb/p105 and Rb2/p130 seem to play a pivotal role in ovarian cancer. In particular, Rb/p105, when in the unphosphorylated form, acts as a growth suppressor and plays a pivotal role in the negative control of the cell cycle and in tumor progression; whereas, the phosphorylated form (p-pRB) activates genic transcription and cellular proliferation. While Rb/p105 is ubiquitously confined to the nuclei of cycling and quiescent cells, Rb2/p130 activity is also regulated by intracellular localization. According to this premise, Rb family members could represent a novel marker in diagnosis and classification risk for patients with borderline ovarian tumors (BOT). Aims In this study, we evaluated the immunohistochemical expression and subcellular localization of proteins of the retinoblastoma (Rb) gene family: Rb/p105 and Rb2/p130 in 65 ovarian borderline tumors (26 serous, 19 sero-mucinous and 20 mucinous subtypes). Results Statistically significant differences were found in nuclear and cytoplasmic expression of Rb/p105 and Rb2/p130 according to different examined histotypes. In detail, the nuclear expression of Rb/p105 and Rb2/p130 was more frequently detected in serous (84.6%) than sero-mucinous (42.1%) and mucinous (50%) types. Conversely, the cytoplasmic expression of Rb2/p130 was not detected in serous tumors and frequently observed in mucinous subtypes (80%). Conclusions Our findings suggest that Rb proteins do not play a key role in the tumor progression of serous borderline tumors since they are always located in the nucleus and no cases showed a cytoplasmic localization. By contrast, the observed higher cytoplasmic expression of Rb2/p130 in mucinous BOTs (intestinal) types, is suggestive of Rb proteins involvement in the cancerogenesis pathway of mucinous ovarian tumors. Our results also suggest that mucinous BOTs of intestinal type, exhibiting low nuclear and high cytoplasmic levels of Rb2/p130 might potentially be considered a high risk category of malignant evolution. Further studies on larger series are needed in order to clarify how BOTs could be stratified in different prognostic groups according to their Rb proteins immunohistochemical profile.

Borderline ovarian tumors: Long-term survival and preservation of fertility.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. e15508-e15508
Author(s):  
Natasha Gercovich ◽  
Carlos Garcia Gerardi ◽  
Ernesto Gil Deza ◽  
Eduardo L. Morgenfeld ◽  
Edgardo G. J. Rivarola ◽  
...  
Keyword(s):  
Young Patients ◽  
Conservative Surgery ◽  
Ovarian Tumors ◽  
Population Characteristics ◽  
Borderline Tumor ◽  
Term Survival ◽  
Borderline Tumors ◽  
Borderline Ovarian Tumors ◽  
The Usa

e15508 Background: Borderline ovarian tumors, also called low-malignancy potential tumors, are infrequent tumors present predominantly in pre-menopause women. Their evolution after surgical treatment is generally very good. The main objective of this paper is to show the evolution of a group of borderline tumors treated at our institution. Methods: Between January 1, 2000 and January 1, 2010, 36 patients diagnosed with ovarian borderline tumors were examined by two independent pathologists, according to the guidelines established by the USA Association of Directors of Anatomic and Surgical Pathology. These patients were followed at IOHM and comprise this paper’s study group. Results: Population Characteristics: Mean Age: 41 years (Range: 20-85). Affected Ovary (Right: 17 pts; Left: 14 pts; Both: 5 pts). Pathology: Mucinous (17 pts), Serous (16 pts), Clear, Brenner and Endometroid Cells (1 pt each). Stages: IA (24 pts), IB (5 pts), IC (2pts), IIIA (4 pts), IIIC (1 pt). Five patients presented non-invasive peritoneal implants and three presented positive peritoneal liquid. All patients were surgically treated: 28 with total anexohisterectomy (TAH) and 8 with unilateral ooforectomy. No patient was given any chemotherapy or radiotherapy treatment. Four patients did not attend follow-up consultations and were lost after 4, 6, 12 and 29 months with no evidence of disease (NED). Thirty-two patients were followed bi-annually during the first five years and annually thereafter. One patient became pregnant after the surgery. All patients are alive and NED with an average follow up of 50 months (range: 29-133). Conclusions: 1) Although half the cases in the study were under 35 years old, there were 12 tumors present in patients over 50 years of age and 1 borderline tumor present in an 85 year old patient. 2) Surgically treated ovarian borderline tumors have a high chance of being curable without the need of chemotherapy or radiotherapy. 3) Conservative surgery in young patients allows a conservation of fertility, provided they are subject to an adequate follow-up.

Borderline Ovarian Tumors

2021 ◽  
pp. 223-239
Author(s):  
George Pados ◽  
Dimitrios Zouzoulas
Keyword(s):  
Ovarian Cancer ◽  
Gold Standard ◽  
Early Stage ◽  
Ovarian Tumors ◽  
Microscopic Appearance ◽  
Borderline Tumors ◽  
Non Invasive ◽  
Borderline Ovarian Tumors ◽  
Specific Subgroup ◽  
Serous Tumors

Borderline ovarian tumors (BOTs) are a specific subgroup of ovarian tumors and are characterized by cell proliferation and nuclear atypia without invasion or stromal invasion. They are usually more present in younger people than the invasive ovarian cancer and are diagnosed at an early stage and thus have a better prognosis. Histologically, borderline tumors are divided into serous (50%), mucosal (46%), and mixed (4%). The serous tumors are bilateral in 30% of the cases and are accompanied by infiltrations outside the ovary in 35% of the cases. These infiltrations may be non-invasive or invasive depending on their microscopic appearance and may affect treatment. Surgery is the approach of choice, and laparoscopic surgery, with the undeniable advantages it offers today, is the “gold standard.” All the surgical steps required to properly treat borderline tumors, at both diagnostic and therapeutic levels, can be safely and successfully be applied laparoscopically. Manipulations during surgery should be limited, and biopsies for rapid biopsy should be done within an endoscopic bag.

Serous ovarian borderline tumors: modern classification and biology

2016 ◽  
Vol 21 (5) ◽  
pp. 228-232
Author(s):  
Irina Yu. Davydova ◽  
V. V Kuznetsov ◽  
A. I Karseladze ◽  
L. A Meshcheryakova
Keyword(s):  
Clinical Course ◽  
Gene Mutations ◽  
Ovarian Tumors ◽  
Histological Classification ◽  
Borderline Tumors ◽  
Modern Classification ◽  
Well Differentiated

In this article there are considered current views on biology of ovarian serous borderline tumors, there is presented a modern histological classification of 2014, which has undergone some changes. Variants of serous borderline tumors are described in terms of morphology, clinical course and prognosis. Also there is discussed the issue of the pathogenesis in the development of ovarian borderline tumors, the contribution of gene mutations in the occurrence of borderline, poorly or well differentiated ovarian tumors. There are described in details features of morphology of serous borderline tumors, the interrelationship of their occurrence and dedifferentiation in dependence on the molecular and genetic deteriorations. In the article there is considered the microinvasive version of the serous borderline tumors and specified criteria for the establishment of this diagnosis. There are given the definition and characterization of micropapillary serous borderline tumors, there is discussed their impact on the course of the disease and prognosis. The issue of terminology is considered in terms of current views and history.

Observer variation in histologic classification of malignant and borderline ovarian tumors

1988 ◽  
Vol 19 (9) ◽  
pp. 1030-1035 ◽  
Author(s):  
Helge Stalsberg ◽  
Vera Abeler ◽  
G. Peter Blom ◽  
Leif Bostad ◽  
Elsa Skarland ◽  
...  
Keyword(s):  
Observer Variation ◽  
Ovarian Tumors ◽  
Histologic Classification ◽  
Borderline Ovarian Tumors

Breast Cancer Detection and Classification using Traditional Computer Vision Techniques: A Comprehensive Review

2020 ◽  
Vol 16 ◽  
Author(s):  
Saliha Zahoor ◽  
Ikram Ullah Lali ◽  
Muhammad Attique Khan ◽  
Kashif Javed ◽  
Waqar Mehmood
Keyword(s):  
Breast Cancer ◽  
Computer Aided Diagnosis ◽  
Diagnose Breast Cancer ◽  
Initial Stage ◽  
Computer Aided ◽  
Diagnosis And Classification ◽  
And Performance ◽  
Tools And Techniques ◽  
Aided Diagnosis

: Breast Cancer is a common dangerous disease for women. In the world, many women died due to Breast cancer. However, in the initial stage, the diagnosis of breast cancer can save women's life. To diagnose cancer in the breast tissues there are several techniques and methods. The image processing, machine learning and deep learning methods and techniques are presented in this paper to diagnose the breast cancer. This work will be helpful to adopt better choices and reliable methods to diagnose breast cancer in an initial stage to survive the women's life. To detect the breast masses, microcalcifications, malignant cells the different techniques are used in the Computer-Aided Diagnosis (CAD) systems phases like preprocessing, segmentation, feature extraction, and classification. We have been reported a detailed analysis of different techniques or methods with their usage and performance measurement. From the reported results, it is concluded that for the survival of women’s life it is essential to improve the methods or techniques to diagnose breast cancer at an initial stage by improving the results of the Computer-Aided Diagnosis systems. Furthermore, segmentation and classification phases are challenging for researchers for the diagnosis of breast cancer accurately. Therefore, more advanced tools and techniques are still essential for the accurate diagnosis and classification of breast cancer.

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