To obtain a good prognosis and preserve laryngeal function is one of the most important issues for patients with advanced cervical esophageal cancer. It is reported that induction chemotherapy (ICT) followed by concurrent chemoradiotherapy (CRT) is useful. We treated 8 consecutive patients with advanced cervical esophageal cancer by ICT and following CRT between 2003 and 2006. The regimen of ICT was FAP therapy (fluorouracil 1,000 mg/day and cisplatin 20mg/day on days 1-5, and doxorubicin 50mg/day on day 1) every 4 weeks. After 2-4 courses of FAP therapy, low-dose FP-CRT (fluorouracil 200mg/24 hours/day and cisplatin 5mg/day with radiation of 60-66 Gy, 2 Gy/day) were given. Effect of ICT was PR in 5 cases, SD in 1 case, and PD in 2 cases. Furthermore, the effect of ICT+CRT was CR in 5 cases and PD in 3 cases. The one-year survival rate was 62. 5%. Grade 3 hematological toxicity related to ICT was observed in 1 patient (12.5%). Grade 3 anorexia and esophagitis related to CRT were observed in 3 patients (37.5%) and 2 patients (25.0%), respectively. Radiation pneumonitis as a late toxicity occurred in 1 patient (12.5%). The therapeutic effect of ICT and CRT was suggested to be useful for patients with advanced cervical esophageal cancer because it was performed safely with no serious adverse effect and the outcome of ICT predicted the effect of the subsequent CRT.
Gastric cancer remains a significant health burden globally, especially prevalent in Asian and European regions. Despite a notable decline in incidence in the United States and Western Europe over recent decades, the disease's persistence underscores the urgency for advanced research in its pathogenesis and treatment strategies. Central to this pursuit is the exploration of the mitogen-activated protein kinase (MAPK) pathway, a pivotal cellular mechanism implicated in the complex processes of gastric cancer development, including cellular proliferation, invasion, migration, and metastasis.
Cancer Stem Cells and Fibroinflammatory Microenvironment Group, Instituto de Investigaciones Biomédicas (IIBm) Sols-Morreale CSIC-UAM, 28029, Madrid, Spain.
Background: Pancreatic ductal adenocarcinoma (PDAC) requires innovative therapeutic strategies to counteract its progression and metastatic potential. Since the majority of patients are diagnosed with advanced metastatic disease, treatment strategies targeting not only the primary tumor but also metastatic lesions are needed. Tumor-Associated Macrophages (TAMs) have emerged as central players, significantly influencing PDAC progression and metastasis.
Background: The composite physiologic index (CPI) was developed to estimate the extent of interstitial lung disease (ILD) in idiopathic pulmonary fibrosis (IPF) patients based on pulmonary function tests (PFTs). The CALIPER-revised version of the CPI (CALIPER-CPI) was also developed to estimate the volume fraction of ILD measured by CALIPER, an automated quantitative CT postprocessing software. Recently, artificial intelligence-based quantitative CT image analysis software (AIQCT), which can be used to quantify the bronchial volume separately from the ILD volume, was developed and validated in IPF.
Background: Artificial intelligence (AI) demonstrates high potential when applied to radiomic analysis of magnetic resonance imaging (MRI) to discriminate sinonasal tumors. This can enhance diagnostic suspicion beyond visual assessment alone and prior to biopsy, leading to expedite the diagnostic timeline and the treatment planning. The aim of the present work is to evaluate the current advancements and accuracy of this technology in this domain.
Arterial and venous thromboembolism are leading causes of morbidity and death worldwide. Despite significant advances in the diagnosis, prognostication, and treatment of thrombotic diseases over the past 3 decades, the adoption of findings stemming from translational biomarker research in clinical practice remains limited. Biomarkers provide an opportunity to enhance our understanding of pathophysiological processes and optimize treatment strategies.
