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1.
Eur J Cardiothorac Surg ; 66(4)2024 Oct 01.
Article in English | MEDLINE | ID: mdl-39298505

ABSTRACT

OBJECTIVES: Elderly-specific data for multimodal treatment of oesophageal cancer (EC) is lacking. This study aimed to evaluate the safety and efficacy of multimodal treatment in older EC patients and to compare the impact of neoadjuvant chemotherapy (NCT) and neoadjuvant chemoradiotherapy (NCRT). METHODS: Patients diagnosed with oesophageal squamous cell carcinoma or adenocarcinoma who received NCT/NCRT were identified in the National Cancer Database (NCDB, 2004-2015). First, we compared baseline and post-treatment characteristics between younger (<70 years) and older patients (≥70 years). Logistic regression was used to investigate risk factors of postoperative mortality. Second, we evaluated the effect of neoadjuvant chemotherapy on postoperative mortality and overall survival in the older cohort. Inverse probability of treatment weights and multivariable analyses were used to compensate for differences in baseline covariates. RESULTS: We 1st compared outcomes of neoadjuvant therapy plus oesophagectomy in 14 778 eligible EC patients. The older group experienced higher rates of postoperative mortality at 30 days (5.8%) and 90 days (13.5%) compared to younger patients. Postoperative mortality was significantly related to the Charlson-Deyo score and treatment-related factors including neoadjuvant therapy type and minimally invasive technique. Second, among the 3141 older patients (with a median follow-up of 57.8 months and 2029 deaths), those receiving NCT obtained significantly lower postoperative mortality and improved overall survival compared with NCRT (inverse probability of treatment weights-adjusted P = 0.05; hazard ratio 0.85; 95% Cl 0.72-0.99). CONCLUSIONS: Neoadjuvant therapy plus oesophagectomy carries increased short-term mortality risk in older EC patients. NCT in older EC patients showed lower postoperative mortality but no statistically significant differences in overall survival, with a point estimate favouring NCT compared to the NCRT group, making NCT a potential option for consideration in specific cases.


Subject(s)
Esophageal Neoplasms , Esophagectomy , Neoadjuvant Therapy , Humans , Esophageal Neoplasms/therapy , Esophageal Neoplasms/mortality , Aged , Male , Female , Middle Aged , Age Factors , Retrospective Studies , Aged, 80 and over , Combined Modality Therapy , Adenocarcinoma/therapy , Adenocarcinoma/mortality , Treatment Outcome , Esophageal Squamous Cell Carcinoma/therapy , Esophageal Squamous Cell Carcinoma/mortality , Chemoradiotherapy/methods
2.
BMJ Open Gastroenterol ; 11(1)2024 Mar 27.
Article in English | MEDLINE | ID: mdl-38538088

ABSTRACT

OBJECTIVE: This study aimed to develop and validate robust predictive models for patients with oesophageal cancer who achieved a pathological complete response (pCR) and those who did not (non-pCR) after neoadjuvant therapy and oesophagectomy. DESIGN: Clinicopathological data of 6517 primary oesophageal cancer patients who underwent neoadjuvant therapy and oesophagectomy were obtained from the National Cancer Database for the training cohort. An independent cohort of 444 Chinese patients served as the validation set. Two distinct multivariable Cox models of overall survival (OS) were constructed for pCR and non-pCR patients, respectively, and were presented using web-based dynamic nomograms (graphical representation of predicted OS based on the clinical characteristics that a patient could input into the website). The calibration plot, concordance index and decision curve analysis were employed to assess calibration, discrimination and clinical usefulness of the predictive models. RESULTS: In total, 13 and 15 variables were used to predict OS for pCR and non-pCR patients undergoing neoadjuvant therapy followed by oesophagectomy, respectively. Key predictors included demographic characteristics, pretreatment clinical stage, surgical approach, pathological information and postoperative treatments. The predictive models for pCR and non-pCR patients demonstrated good calibration and clinical utility, with acceptable discrimination that surpassed that of the current tumour, node, metastases staging system. CONCLUSIONS: The web-based dynamic nomograms for pCR (https://predict-survival.shinyapps.io/pCR-eso/) and non-pCR patients (https://predict-survival.shinyapps.io/non-pCR-eso/) developed in this study can facilitate the calculation of OS probability for individual patients undergoing neoadjuvant therapy and radical oesophagectomy, aiding clinicians and patients in making personalised treatment decisions.


Subject(s)
Esophageal Neoplasms , Nomograms , Humans , Neoadjuvant Therapy , Esophagectomy , Proportional Hazards Models
3.
Front Surg ; 9: 998282, 2022.
Article in English | MEDLINE | ID: mdl-36406371

ABSTRACT

In the past 20 years, robotic system has gradually found a place in esophagectomy which is a demanding procedure in the deep and narrow thoracic cavity containing crucial functional structures. Ivor Lewis esophagectomy (ILE) is a mainstream surgery type for esophagectomy and is widely accepted for its capability in lymphadenectomy and relatively mitigated trauma. As a minimally invasive technique, robot-assisted Ivor Lewis esophagectomy (RAILE) has been frequently compared with the video-assisted procedure and the traditional open procedure. However, high-quality evidence elucidating the advantages and drawbacks of RAILE is still lacking. In this article, we will review the surgical techniques, both short and long-term outcomes, the learning curve, and explicate the current progress and clinical efficacy of RAILE.

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