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1.
Cancers (Basel) ; 16(6)2024 Mar 09.
Article in English | MEDLINE | ID: mdl-38539441

ABSTRACT

BACKGROUND: Malignant Brenner tumors are rare ovarian tumors, accounting for less than 1% of malignant ovarian neoplasms. The aim of this manuscript is to systematically review the current literature concerning malignant Brenner tumors. METHODS: We searched three medical databases (PubMed, Scopus, and Web of Science) for relevant articles published until 15 September 2023. RESULTS: After applying inclusion and exclusion criteria, 48 manuscripts describing 115 cases were included in this study from the English literature. CONCLUSIONS: We analyzed the demographic, clinical, pathological, and oncological characteristics of 115 patients with malignant Brenner tumors. The statistical analysis showed that recurrence was marginally statistically significantly related to tumor stage and was more common in patients with ascites and in women with abnormal CA-125 levels; patients that were treated with lymphadenectomy had better disease-specific survival.

2.
Int J Mol Sci ; 25(2)2024 Jan 19.
Article in English | MEDLINE | ID: mdl-38279253

ABSTRACT

In the setting of pronounced inflammation, changes in the epithelium may overlap with neoplasia, often rendering it impossible to establish a diagnosis with certainty in daily clinical practice. Here, we discuss the underlying molecular mechanisms driving tissue response during persistent inflammatory signaling along with the potential association with cancer in the gastrointestinal tract, pancreas, extrahepatic bile ducts, and liver. We highlight the histopathological challenges encountered in the diagnosis of chronic inflammation in routine practice and pinpoint tissue-based biomarkers that could complement morphology to differentiate reactive from dysplastic or cancerous lesions. We refer to the advantages and limitations of existing biomarkers employing immunohistochemistry and point to promising new markers, including the generation of novel antibodies targeting mutant proteins, miRNAs, and array assays. Advancements in experimental models, including mouse and 3D models, have improved our understanding of tissue response. The integration of digital pathology along with artificial intelligence may also complement routine visual inspections. Navigating through tissue responses in various chronic inflammatory contexts will help us develop novel and reliable biomarkers that will improve diagnostic decisions and ultimately patient treatment.


Subject(s)
Artificial Intelligence , Neoplasms , Humans , Animals , Mice , Neoplasms/diagnosis , Inflammation , Biomarkers , Hyperplasia , Digestive System
3.
Cureus ; 15(9): e45597, 2023 Sep.
Article in English | MEDLINE | ID: mdl-37868563

ABSTRACT

Higher mammographic breast density in premenopausal and postmenopausal women is related to a higher breast cancer risk. In this review, we analyze the correlation between estrogen, progesterone, and mammographic density in postmenopausal women and clarify whether these findings are consistent across different types of mammographic breast density. We extracted data concerning mammographic density increases in the populations treated with estrogen-only hormone replacement therapy and those treated with estrogen and progestin hormone replacement therapy. Postmenopausal women treated with estrogen and progesterone regimens had a statistically significant lesser mammographic density increase than estrogen-only hormone replacement therapy regimens.

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