Background: Survival of patients with cT4 esophageal cancer is dismal. Although the optimal treatment strategy remains to be established, two treatment options are available for cT4 esophageal cancers: definitive chemoradiation (dCRT) and induction treatment followed by conversion surgery (CS). However, little is known concerning the differences in clinical outcome between patients with T4 esophageal tumors treated with dCRT and those eventually treated with CS.
Methods: A systematic search of the scientific literature on PubMed/MEDLINE was carried out using the keywords "T4 esophageal cancer," "invading (involving) adjacent organ," "definitive chemoradiation," "induction therapy," "salvage surgery," and "conversion surgery," obtaining 28 reports published up to July 2018.
Results/conclusion: We found that CS was superior to dCRT with respect to local disease control and short-term survival; however, CS was associated with relatively higher perioperative mortality and morbidity. Alternatively, although dCRT might often cause fistula formation, a clinical complete response to dCRT is likely to lead to a better prognosis. Recent advances in chemotherapeutic agents have led to triple induction chemotherapy, with docetaxel, cisplatin, and 5-fluorouracil (DCF), which has shown promise as an initial induction treatment for cT4 esophageal cancer. Indeed, this regimen could control both local and systemic disease, which enables curative resection without preoperative CRT. Moreover, some appropriate changes in perioperative management and intensive systemic chemotherapy might enhance patient outcome. Randomized controlled trials with a large sample size are needed to establish the standard treatment for cT4 esophageal cancer.
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http://dx.doi.org/10.1002/ags3.12222 | DOI Listing |
Dig Dis Sci
January 2025
Department of Gastroenterology and Hepatology, Loyola University Medical Center, 2160 S First Ave, Maywood, IL, 60153, USA.
Esophageal cancer is a common and often deadly malignancy, with treatment success depending largely on the stage at the time of diagnosis. Recently, studies have examined the role of non-coding RNAs in esophageal cancer pathogenesis, prognosis and therapy. This perspective specifically examines interactions long non-coding RNAs have with other RNA molecules in various facets of esophageal cancer.
View Article and Find Full Text PDFCancer Med
January 2025
Department of Cardiothoracic Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, People's Republic of China.
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View Article and Find Full Text PDFBMC Surg
January 2025
Department of Cardiothoracic Surgery, Fifth Affiliated Hospital of Sun Yat-Sen University, No.52 East Meihua Road, Zhuhai, Guangdong Province, 519000, China.
Background: Laparoscopic-assisted single-port mediastinoscopic esophagectomy is a safe and effective emerging minimally invasive esophagectomy, but little has been reported about the learning curve for this technology. The goal of the study was to determine the number of procedures to achieve different levels of proficiency on the learning curve.
Methods: This study retrospectively analyzed data from consecutive surgeries performed by the same surgeon at the same center from 2016 to 2021.
Dis Esophagus
January 2025
Department of Esophageal Surgery, National Cancer Center, Tokyo, Japan.
Definitive chemoradiotherapy (dCRT) is the standard treatment for unresectable (T4) esophageal squamous cell carcinoma (ESCC), but the prognosis is poor. Borderline resectable (T3br) ESCC has been discussed, but its clinical features and appropriate treatment are unclear. The effects of docetaxel plus cisplatin and 5-fluorouracil (DCF) therapy and subsequent surgery for potentially unresectable ESCC remain controversial.
View Article and Find Full Text PDFJCO Precis Oncol
January 2025
Translational Research Support Office, National Cancer Center Hospital East, Chiba, Japan.
Purpose: Human epidermal growth factor receptor 2 (HER2)-targeted therapies have shown promise in treating -amplified metastatic colorectal cancer (mCRC). Identifying optimal biomarkers for treatment decisions remains challenging. This study explores the potential of artificial intelligence (AI) in predicting treatment responses to trastuzumab plus pertuzumab (TP) in patients with -amplified mCRC from the phase II TRIUMPH trial.
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