Combination therapies to induce mixed-type cell death and synthetic lethality have the potential to overcome drug resistance in cancer. In this study, we demonstrated that the curcumin-enhanced cytotoxicity of cisplatin/carboplatin in combination with gemcitabine was associated with Aurora A suppression-mediated G2/M arrest, and thus apoptosis, as well as MEK/ERK-mediated autophagy in human bladder cancer cells. Animal study data confirmed that curcumin combined with cisplatin/gemcitabine reduced tumorigenesis of xenograft in mice and this phenomenon was associated with elevated expressions of p-ERK and reduced p-Aurora A in tumors. Gene analyses using data repositories further revealed that reduced Aurora A expression alone did not significantly elevate the sensitivity of human bladder carcinoma cells to these anticancer drugs. Unlike other major cancer types, human bladder urothelial carcinoma tissue coexpressed higher AURKA and lower MAP1LC3B than normal tissue, and reduced Aurora A and induction of autophagy have been clinically associated with a better prognosis in patients with early but not advanced stage bladder cancer. Therefore, our results suggest that treatment strategies can utilize the synthetic lethal pair to concurrently suppress oncogenic Aurora A and induce autophagy by coadministrating curcumin with anticancer drugs for early-stage bladder cancer with high expression of Aurora A.
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http://dx.doi.org/10.1016/j.jnutbio.2023.109438 | DOI Listing |
PLoS One
January 2025
Clinical Sciences Department, College of Medicine, University of Sharjah, Sharjah, UAE.
Background: Urinary tract infections (UTIs), which are infections of the kidneys, ureters, bladder, or urethra, are a worldwide public health concern. As compared to men, women are more prone to UTIs. There have been several studies that explore the knowledge, attitudes, and practices of women regarding UTIs in different countries, but no such study has been conducted in the UAE; therefore, we conducted this study in the UAE setting.
View Article and Find Full Text PDFAm J Case Rep
January 2025
Department of Anatomical Pathology, Jenderal Soedirman University, Purwokerto, Central Java, Indonesia.
BACKGROUND Vulvar melanoma during pregnancy is exceptionally rare. Hormonal and immunological changes in pregnancy have raised concerns about the potential for accelerated melanoma progression and poorer maternal outcomes. This case report describes an unusual presentation of vulvar melanoma in a pregnant patient, which rapidly progressed despite previous treatments, but resulted in a favorable fetal outcome.
View Article and Find Full Text PDFWorld J Urol
January 2025
Department of Urology, Renmin Hospital of Wuhan University, 99 Zhang Zhi-dong Road, Wuhan, Hubei, 430060, P.R. China.
Purpose: To develop a deep learning (DL) model based on primary tumor tissue to predict the lymph node metastasis (LNM) status of muscle invasive bladder cancer (MIBC), while validating the prognostic value of the predicted aiN score in MIBC patients.
Methods: A total of 323 patients from The Cancer Genome Atlas (TCGA) were used as the training and internal validation set, with image features extracted using a visual encoder called UNI. We investigated the ability to predict LNM status while assessing the prognostic value of aiN score.
J Org Chem
January 2025
College of Chemistry and Chemical Engineering, Jishou University, Jishou 416000, People's Republic of China.
A copper-catalyzed domino addition/cyclization reaction was developed to synthesize novel benzoselenazole-linked 1,2,3-triazole and tetracyclic fused 12-benzo[4,5]selenazole[2,3-]quinazolin-12-one derivatives from isoselenocyanates. This domino reaction efficiently constructed multiple new chemical bonds in a single step, forming either four (one C-Se and three C-) or three (one C-Se and two C-) bonds. The reaction offers several key advantages, including mild conditions, broad substrate compatibility, and straightforward and safe operation.
View Article and Find Full Text PDFCells
December 2024
Department of Mechanical Engineering, Tufts University, Medford, MA 02155, USA.
The development of noninvasive methods for bladder cancer identification remains a critical clinical need. Recent studies have shown that atomic force microscopy (AFM), combined with pattern recognition machine learning, can detect bladder cancer by analyzing cells extracted from urine. However, these promising findings were limited by a relatively small patient cohort, resulting in modest statistical significance.
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