Chemotherapy

Enhancing lymph node metastases assessment in breast cancer post-neoadjuvant therapy using artificial intelligence-driven diagnostics.

BACKGROUND: Neoadjuvant therapy (NAT) is crucial for locally advanced breast cancer, but post-NAT lymph node assessment is challenging due to histological changes. Current methods like immunohistochemistry (IHC) are labor-intensive and imprecise in distinguishing isolated tumor cells (ITCs), micro-metastases (Micro), and macro-metastases (Macro). We aimed to develop and validate an AI-driven model...

[Optimized regional lymph node management after neoadjuvant therapy in breast cancer].

Neoadjuvant therapy (NAT) has strengthened systemic control in breast cancer and promoted precision de-escalation of axillary management. For clinically node-negative patients, evidence supports sentinel lymph node biopsy (SLNB) after NAT; among human epidermal growth factor receptor 2(HER2)-positive and triple-negative breast cancer patients achieving breast pathological complete response, the ri...

Advances in predictive factors for pathological complete response after neoadjuvant therapy in locally advanced rectal cancer.

For locally advanced rectal cancer (LARC), neoadjuvant chemoradiotherapy (nCRT) combined with total mesorectal excision has emerged as the standard th...

Interpretable machine learning for cardiovascular disease risk prediction in cancer survivors: development and internal validation.

BACKGROUND: Cardiovascular disease (CVD) is a major concern among cancer survivors. However, the intersection of cancer and CVD has only recently gain...

Attribution of PM2.5-Induced Transcriptomic Perturbation to Toxic Components.

Ambient fine particulate matter (PM2.5) is a chemically complex mixture whose health impacts are not fully captured by particle mass. Here, we develop...

Machine Learning-Guided Surface Strain Engineering in Connected Platinum-Nickel Nanoparticle Catalysts for Advanced Oxygen Reduction Performance.

Engineering the surface structure of catalysts is critical for achieving high intrinsic activity in the oxygen reduction reaction (ORR). We report a m...

Screening of shared molecular markers between cervical cancer and major depressive disorder and the mechanism of CRAT/CLIC4 regulating EMT in cervical cancer cells.

BACKGROUND: Cervical cancer (CC) ranks among the most prevalent malignant neoplasms affecting women worldwide. Tumor recurrence, distant metastases, a...

Predicting breast cancer pathological complete response with clinical and imaging data.

INTRODUCTION: Pathological complete response (pCR) is a key prognostic indicator in breast cancer (BC) patients receiving neoadjuvant chemotherapy (NA...

UK recommendations for Ki-67 immunohistochemical staining and interpretation in breast cancer.

Ki-67 is a well-established marker of tumour proliferation and an important prognostic and predictive biomarker in breast cancer, particularly in horm...

Bridging the Vaccine Gap: Scientific and Technological Advances for Diseases Lacking Effective Vaccines.

Despite remarkable achievements in infectious disease control, more than 20 major pathogens responsible for significant global morbidity and mortality...

Clinical target volume radiomics from planning CT for pretreatment response prediction  in rectal cancer undergoing chemoradiotherapy.

PURPOSE: Response to neoadjuvant chemoradiotherapy (nCRT) in rectal cancer remains heterogeneous. This exploratory study evaluated whether radiomics f...

Metabolic signatures of triple-negative breast cancer.

Triple-negative breast cancer (TNBC), being one of the most aggressive subtypes of breast malignancies, is characterized by poor prognosis and limited...

Ovarian Cancer Diagnosis and Chemoresistance Prediction Model Based on cfRNA Molecular Signature.

BACKGROUND: Ovarian cancer (OVCA) is a common and highly aggressive gynecologic malignancy often diagnosed at advanced stages. Approximately 30% of pa...

A Machine-Learning Model Using Pre-treatment Multimodal Data to Predict Sentinel Lymph Node Status After Neoadjuvant Chemotherapy in Operable Early-stage Breast Cancer.

RATIONALE AND OBJECTIVES: Although accurate preoperative prediction of sentinel lymph node (SLN) status in operable early-stage breast cancer (EBC) af...

Neoadjuvant Chemoradiotherapy on Postoperative Complications of Rectal Cancer: A Retrospective Study Integrating MRI Radiomics and Deep Learning.

Neoadjuvant chemoradiotherapy (nCRT) is standard for locally advanced rectal cancer but increases postoperative complication (POC) risks due to tissue...

Artificial intelligence for systemic therapy selection and prediction of outcomes in advanced gynecological cancers.

PURPOSE OF REVIEW: Advanced gynecologic cancers are treated broadly, with variable outcomes, even when selected by traditional precision oncology biom...

Comprehensive analysis of the association between perfluorooctanoic acid exposure and osteosarcoma progression.

Perfluorooctanoic acid (PFOA), a persistent environmental pollutant, represents a chronic environmental stressor, yet its role in osteosarcoma progres...

A Multimodal Deep Learning Model for Preoperative Prediction of Postoperative Complications in Gastric Cancer.

BACKGROUND: Clavien-Dindo (CD) grade ≥II complications occur in roughly one in five patients after curative gastrectomy for gastric cancer and indepen...

Deep Learning Predicts Imminent Tumor Progression in Advanced Pancreatic Adenocarcinoma Using Serial CT Scans During Chemotherapy.

Advanced pancreatic ductal adenocarcinoma (PDAC) often progresses rapidly during chemotherapy despite initial assessments of stable disease or partial...

Cellular hallmarks and aging clock of the human lung parenchyma.

Aging affects lung function, predisposing older adults to respiratory diseases; however, the cellular and molecular mechanisms of lung aging are not f...