HER2-positive gastroesophageal adenocarcinomas (GEAs) are common cancers with high
mortality and the treatment options for advanced/metastatic disease are limited …

Background Clinical prediction models are increasingly used to predict outcomes such as
survival in cancer patients. The aim of this study was threefold. First, to perform a systematic …

Background Metastatic esophageal cancer (mEC) is the end stage of esophageal cancer.
We aimed to construct a predictive model predicting the cancer-specific survival (CSS) of …

Background Clinical, pathological, and molecular information combined with cancer stage in
prognostication algorithms can offer more personalized estimates of survival, which might …

Prediction models are only sparsely available for metastatic oesophagogastric cancer.
Because treatment in this setting is often preference-based, decision-making with the aid of …

Background In view of the low accuracy of the prognosis model of esophageal squamous
cell carcinoma (ESCC), this study aimed to optimize the least squares support vector …

Background: Through a multidisciplinary decision-making process, we developed a strategy
of systemic therapy followed by local consolidative therapy (chemoradiation with/without …

Objective It remains unclear whether primary tumor resection improves survival in patients
with metastatic Siewert type II adenocarcinoma of the esophagogastric junction (AEG) …

Purpose Newly diagnosed T1-2N0 esophageal cancer (EC) is generally deemed as early
local disease, with distant metastases (DM) easily overlooked. This retrospective study …

Study design: The univariable and multivariable logistic and Cox regression models were
used to investigate the risk factors for liver metastase development and prognosis …