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Malignant neoplasms arise within a region of chronic inflammation caused by tissue injuries. Inflammation is a key factor involved in all aspects of tumorigenesis including initiation, proliferation, invasion, angiogenesis, and metastasis. Interleukin-1 (IL-1) plays critical functions in tumor development with influencing the tumor microenvironment and promoting cancer progression.

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Background: The pathomechanism of blast traumatic brain injury (TBI) and blunt TBI is different. In blast injury, evidence indicates that a single blast exposure can often manifest long-term neurological impairments. However, its pathomechanism is still elusive, and treatments have been symptomatic.

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High-grade serous carcinomas (HGSCs) with homologous recombination deficiency (HRD) respond favorably to platinum therapy and poly ADP ribose polymerase (PARP) inhibitors. Mutations in BRCA1 and BRCA2 commonly cause HRD and have been associated with Solid, pseudoEndometrioid, and Transitional-like (SET-like) histology. Mutations in other homologous recombination repair (HRR) genes as well as epigenetic changes can also result in HRD; however, morphologic correlates have not been well-explored in these cases.

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In our efforts to enhance sensitivity to PARP inhibitors, we identified clofarabine (CLF) as a potential therapy for drug-resistant ovarian cancer and nuclear trafficking of Cathepsin L (CTSL) as a treatment- responsive biomarker. Using PARP inhibitor-sensitive and -resistant OC cell lines, ex vivo cultures of patient-derived ovarian ascites (OVA), primary ovarian tumors, and xenografts (PDX), we found that CLF monotherapy induces nuclear CTSL (nCTSL) in CLF-responsive cells (CLF-r) and sensitizes them to PARP inhibitors olaparib and rucaparib. In CLF non-responsive cells (CLF-nr), a combination of CLF with olaparib is necessary for nCTSL trafficking and synergy.

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Background: Rhabdomyolysis (RM) frequently gives rise to diverse complications, ultimately leading to an unfavorable prognosis for patients. Consequently, there is a pressing need for early prediction of survival rates among RM patients, yet reliable and effective predictive models are currently scarce.

Methods: All data utilized in this study were sourced from the MIMIC-IV database.

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