Background: To evaluate the clinical outcome in patients with de novo metastatic nasopharyngeal carcinoma (NPC) treated or not treated with locoregional radiotherapy (LRRT) based on plasma Epstein-Barr virus (EBV) DNA level and tumor response after palliative chemotherapy (PCT).
Methods: From 2007 to 2016, 502 patients with de novo metastatic NPC were included in this study. All patients were treated with PCT and 315 patients received LRRT. Our primary study endpoint was overall survival (OS).
Results: EBV DNA was detected in 461 patients (91.8%) before treatment but was undetectable in 249 patients (49.6%) after PCT. Three hundred and seventeen patients (63.1%) achieved satisfactory response (complete response or partial response) to PCT. Both the post-PCT EBV DNA level and tumor response were independent prognostic factors. Among low-risk patients (patients with undetectable EBV DNA and satisfactory tumor response after PCT), the 3-year OS rate was 80.4% in LRRT-treated patients and 45.3% in patients not treated with LRRT (P < 0.001). Multivariate analyses demonstrated that LRRT was an independent prognostic factor of OS in the low-risk patients (P < 0.001). However, among the high-risk patients (patients with detectable EBV DNA and/or unsatisfactory response after PCT), no statistically significant survival differences were observed between the LRRT and non-LRRT groups.
Conclusions: EBV DNA level and tumor response after PCT both correlate with the prognosis of de novo metastatic NPC. In such cases, LRRT may benefit the patients with undetectable EBV DNA levels and satisfactory tumor response after PCT.
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http://dx.doi.org/10.1186/s12885-019-5281-5 | DOI Listing |
Proc Natl Acad Sci U S A
January 2025
Cancer Biology & Genetics Program, Sloan Kettering Institute, New York, NY 10065.
Malignant peripheral nerve sheath tumors (MPNSTs) are aggressive sarcomas and the primary cause of mortality in patients with neurofibromatosis type 1 (NF1). These malignancies develop within preexisting benign lesions called plexiform neurofibromas (PNs). PNs are solely driven by biallelic loss eliciting RAS pathway activation, and they respond favorably to MEK inhibitor therapy.
View Article and Find Full Text PDFBr J Dermatol
January 2025
Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, The University of Manchester, Manchester, UK.
Background: The current management of psoriasis does not differentiate between young and old patients in selecting the safest and/or most effective biologic.
Objectives: To explore the effect of age at treatment initiation in response to biologics in patients with moderate-to-severe psoriasis in the UK and Eire.
Methods: Data from patients registering to the British Association of Dermatologists Biologics and Immunomodulators Register (BADBIR) from 2007-2024 on first course of Tumour Necrosis Factor (TNF), interleukin (IL) 12/13, IL-17 and IL-23 inhibitors (i) with at least 6 months' follow-up were included.
PLoS One
January 2025
Department of Pathology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
Triple negative breast cancers often contain higher numbers of tumour-infiltrating lymphocytes compared with other breast cancer subtypes, with their number correlating with prolonged survival. Since little is known about tumour-infiltrating lymphocyte trafficking in triple negative breast cancers, we investigated the relationship between tumour-infiltrating lymphocytes and the vascular compartment to better understand the immune tumour microenvironment in this aggressive cancer type. We aimed to identify mechanisms and signaling pathways responsible for immune cell trafficking in triple negative breast cancers, specifically of basal type, that could potentially be manipulated to change such tumours from immune "cold" to "hot" thereby increasing the likelihood of successful immunotherapy in this challenging patient population.
View Article and Find Full Text PDFPLoS One
January 2025
Biology Department, Faculty of Science, Islamic University of Madinah, Madinah, Saudi Arabia.
This study presents a novel approach to modeling breast cancer dynamics, one of the most significant health threats to women worldwide. Utilizing a piecewise mathematical framework, we incorporate both deterministic and stochastic elements of cancer progression. The model is divided into three distinct phases: (1) initial growth, characterized by a constant-order Caputo proportional operator (CPC), (2) intermediate growth, modeled by a variable-order CPC, and (3) advanced stages, capturing stochastic fluctuations in cancer cell populations using a stochastic operator.
View Article and Find Full Text PDFAdv Sci (Weinh)
January 2025
Yunnan Key Laboratory of Stem Cell and Regenerative Medicine, Kunming Medical University, Kunming, 650500, China.
Small molecules as nanomedicine carriers offer advantages in drug loading and preparation. Selecting effective small molecules for stable nanomedicines is challenging. This study used artificial intelligence (AI) to screen drug combinations for self-assembling nanomedicines, employing physiochemical parameters to predict formation via machine learning.
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