ArticleAnnals of translational medicine2021
A validated nomogram integrating hematological indicators to predict response to neoadjuvant therapy in esophageal squamous cell carcinoma patients.
Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Machine learning models predict overall survival and progression free survival of non-surgical esophageal cancer patients with chemoradiotherapy based on CT image radiomics signatures.Radiation oncology (London, England) · 2022Trial
- Current and future on definitive concurrent chemoradiotherapy for inoperable locally advanced esophageal squamous cell carcinoma.Frontiers in oncology · 2024Review
- A prognostic nomogram that includes MPV in esophageal squamous cell carcinoma.Cancer medicine · 2023Article
- Efficacy and safety of immunochemotherapy, immunotherapy, chemotherapy, and targeted therapy as first-line treatment for advanced and metastatic esophageal cancer: a systematic review and network meta-analysis.The Lancet regional health. Western Pacific · 2023Article
- Nomogram for Predicting Pathologic Response Following Neoadjuvant Chemotherapy or Chemoradiotherapy in Patients with Esophageal Cancer.Annals of surgical oncology · 2023Article
- Radiotherapy combined with immune checkpoint inhibitors in locally advanced/metastatic esophageal squamous cell carcinoma: clinical trials, efficacy and future directions.Frontiers in immunology · 2023Review
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16 authors.
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Abstract
backgroundThe prognoses for advanced Esophageal squamous cell cancer (ESCC) was very poor. Neoadjuvant therapy was shown to improve overall survival of ESCC patients. However, there is still no effective indicator to predict the efficacy of neoadjuvant therapy. The present study intended to investigate the correlation between hematological parameters and the efficacy of neoadjuvant therapy so as to provide a reference for the prediction of cancer response to neoadjuvant therapy.
methodsThis study included 197 ESCC patients in our center from January 2010 to December 2018. Response evaluation criteria in solid tumors (RECIST) criteria were used for the treatment evaluation. The results of univariate and multivariate logistic regression analysis were used to select independent factors for construction of the prediction model. The concordance index (C-index), receiver operating characteristic (ROC) curve, and calibration curve were used to evaluate the robustness of the model, while the bootstrap method was used for internal validation.
resultsAmong the 197 included ESCC patients, 94 patients achieved partial remission, 80 patients were in stable condition, and 23 patients had disease progression, 123 of whom underwent surgery. The comparisons of the dynamic hematological test results before and after treatment show that pre-PLT, pre-MONO%, post-Hb, △WBC, and the option of undergoing neoadjuvant chemoradiation were the potential predictors for the effectiveness of neoadjuvant therapy. The model in which the C-index was 0.803 (95% confidence interval: 0.742-0.864) showed good prediction performance, and still reach a C-index of 0.764 when internally validated.
conclusionsFor the neoadjuvant treatment of ESCC, hematological indexes are closely related to the efficacy of neoadjuvant therapy. The nomogram can be used to easily predict the efficacy of neoadjuvant therapy in patients.
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