AIMC Topic: Chemotherapy, Adjuvant

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Machine learning and SHAP value interpretation for predicting the response to neoadjuvant chemotherapy and long-term clinical outcomes in Chinese female breast cancer.

Annals of medicine Aug 3, 2025
BACKGROUND: Most models of neoadjuvant chemotherapy (NACT) for breast cancer (BC) suffer from insufficient data and lack interpretability. Additionally, there is a notable absence of reports from China in this field. This study is also the first to i...
Machine Learning Prognosis Female Aged Adult Humans Neoadjuvant Therapy Support Vector Machine East Asian People Kaplan-Meier Estimate Chemotherapy, Adjuvant Breast Neoplasms Middle Aged China Nomograms Treatment Outcome
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Developing a machine-learning model to enable treatment selection for neoadjuvant chemotherapy for esophageal cancer.

Scientific reports Jul 15, 2025
Although neoadjuvant chemotherapy with docetaxel + cisplatin + 5-fluorouracil (CF) has been the standard treatment for stage II and III esophageal cancers, it is associated with severe adverse events caused by docetaxel. Consequently, this study aime...
Humans Male Middle Aged Polymorphism, Single Nucleotide Antineoplastic Combined Chemotherapy Protocols Neoadjuvant Therapy Machine Learning Prognosis Female Aged Docetaxel Chemotherapy, Adjuvant Neoplasm Recurrence, Local Esophageal Neoplasms Cisplatin Fluorouracil
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Predicting the prognosis of radical gastrectomy for patients with locally advanced gastric cancer after neoadjuvant chemotherapy using machine learning technology: a multicenter study in China.

Surgical endoscopy Jul 9, 2025
BACKGROUND: Neoadjuvant chemotherapy (NAC) can improve the prognosis of patients with locally advanced gastric cancer (LAGC). However, precise models for accurate prognostic predictions are lacking. We aimed to utilize Cox regression and integrate va...
Support Vector Machine Neoplasm Staging Gastrectomy Chemotherapy, Adjuvant Male Middle Aged China Neoadjuvant Therapy Humans Machine Learning Prognosis Retrospective Studies Female Aged Adult Stomach Neoplasms
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Evaluating cell-free DNA integrity index as a non-invasive biomarker for neoadjuvant chemotherapy in colorectal cancer patients.

BMC cancer Jul 8, 2025
BACKGROUND: Neoadjuvant chemotherapy (NAC) is gaining attention as a treatment for advanced colorectal cancer owing to its potential to improve surgical outcomes and prognosis. However, reliable biomarkers to predict the response to NAC are lacking. ...
Chemotherapy, Adjuvant Male Middle Aged Antineoplastic Combined Chemotherapy Protocols Humans Neoadjuvant Therapy Machine Learning Cell-Free Nucleic Acids Prognosis Retrospective Studies Female Aged Adult Colorectal Neoplasms Biomarkers, Tumor
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The value of machine learning based on magnetic resonance imaging (MRI) and biopsy whole-slide image to predict pathological complete response to breast cancer after neoadjuvant chemotherapy: a two-centre study.

Clinical radiology Jun 4, 2025
AIM: To develop and validate a combined model based on magnetic resonance imaging (MRI), and whole-slide imaging (WSI) to predict pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) in breast cancer.
Biopsy Breast Chemotherapy, Adjuvant Female Aged Adult Breast Neoplasms Middle Aged Humans Nomograms Machine Learning Neoadjuvant Therapy Retrospective Studies Magnetic Resonance Imaging Predictive Value of Tests
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Detection of pathologic complete response using deep neural network-based endoscopic evaluation in patients with esophageal cancer receiving neoadjuvant chemotherapy: a nationwide multicenter retrospective study from 46 Japanese esophageal centers.

Esophagus : official journal of the Japan Esophageal Society Apr 28, 2025
BACKGROUND: Detecting pathological complete response (pCR) preoperatively facilitated a non-surgical approach after neoadjuvant chemotherapy (NAC). We previously developed a deep neural network-based endoscopic evaluation to determine pCR preoperativ...
Humans Neural Networks, Computer Retrospective Studies Female Japan Esophageal Squamous Cell Carcinoma Chemotherapy, Adjuvant Esophagoscopy Pathologic Complete Response Deep Learning Aged Treatment Outcome Sensitivity and Specificity Neoadjuvant Therapy Male Predictive Value of Tests Middle Aged Esophageal Neoplasms
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Utility of comprehensive genomic profiling combined with machine learning for prognostic stratification in stage II/III colorectal cancer after adjuvant chemotherapy.

International journal of clinical oncology Mar 17, 2025
BACKGROUND AND PURPOSE: Accurate recurrence risk evaluation in patients with stage II and III colorectal cancer (CRC) remains difficult. Traditional histopathological methods frequently fall short in predicting outcomes after adjuvant chemotherapy. T...
Gene Expression Profiling Humans Neoplasm Staging Neoplasm Recurrence, Local Adult Machine Learning Chemotherapy, Adjuvant Colorectal Neoplasms Prognosis Biomarkers, Tumor Female Male Aged Middle Aged
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Prediction of Chemotherapy Response in Locally Advanced Breast Cancer Patients at Pre-Treatment Using CT Textural Features and Machine Learning: Comparison of Feature Selection Methods.

Tomography (Ann Arbor, Mich.) Mar 13, 2025
RATIONALE: Neoadjuvant chemotherapy (NAC) is a key element of treatment for locally advanced breast cancer (LABC). Predicting the response of NAC for patients with LABC before initiating treatment would be valuable to customize therapies and ensure t...
Treatment Outcome Neoadjuvant Therapy Predictive Value of Tests Chemotherapy, Adjuvant Aged Adult Breast Neoplasms Middle Aged Humans Machine Learning Tomography, X-Ray Computed Female
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Self-supervised learning reveals clinically relevant histomorphological patterns for therapeutic strategies in colon cancer.

Nature communications Mar 8, 2025
Self-supervised learning (SSL) automates the extraction and interpretation of histopathology features on unannotated hematoxylin-eosin-stained whole slide images (WSIs). We train an SSL Barlow Twins encoder on 435 colon adenocarcinoma WSIs from The C...
Middle Aged Adenocarcinoma Colonic Neoplasms Supervised Machine Learning Chemotherapy, Adjuvant Humans Female Reproducibility of Results Aged Male
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Predicting the efficacy of neoadjuvant chemotherapy in breast cancer patients based on ultrasound longitudinal temporal depth network fusion model.

Breast cancer research : BCR Feb 27, 2025
OBJECTIVE: The aim of this study was to develop and validate a deep learning radiomics (DLR) model based on longitudinal ultrasound data and clinical features to predict pathologic complete response (pCR) after neoadjuvant chemotherapy (NAC) in breas...
Antineoplastic Combined Chemotherapy Protocols Adult Treatment Outcome Humans Chemotherapy, Adjuvant Neoadjuvant Therapy Breast Neoplasms Prognosis Ultrasonography, Mammary Middle Aged Female Deep Learning Aged Ultrasonography
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