AIMC Topic: Neoplasms

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Circulating cytokine profiling and clustering identify biomarker predicting efficacy of ICI in combination with chemotherapy.

Cancer letters
The combination of chemotherapy can enhance the efficacy of immune checkpoint inhibitors (ICIs), but requires precise patient stratification and biomarker screening. Cytokines influence immunotherapy outcomes, and multiplex cytokine profiling aids in...

Machine Learning-Enhanced Single-Particle Tracking for Rapid Screening of Tumor Immunomodulatory Drugs.

ACS nano
The tumor microenvironment plays a critical role in tumor progression and immune response, with the extracellular matrix (ECM) regulating immune cell infiltration. However, the interplay between ECM dynamics and tumor immunity remains poorly understo...

A densely connected framework for cancer subtype classification.

BMC bioinformatics
BACKGROUND: Reliable identification of cancer subtypes is crucial for devising personalized treatment strategies. Integrating multi-omics data has proven to be an effective method for analyzing cancer subtypes. By combining molecular information acro...

Image-based inference of tumor cell trajectories enables large-scale cancer progression analysis.

Science advances
Current approaches to estimating cell trajectories, tumor progression dynamics, and cell population diversity of tumor microenvironment often depend on single-cell RNA sequencing, which is costly and resource intensive. To address this limitation, we...

Statistical toolkit for analysis of radiotherapy DICOM data.

Biomedical physics & engineering express
Radiotherapy (RT) has become increasingly sophisticated, necessitating advanced tools for analyzing extensive treatment data in hospital databases. Such analyses can enhance future treatments, particularly through Knowledge-Based Planning, and aid in...

A perspective on integrating digital pathology, proteomics, clinical data and AI analytics in cancer research.

Journal of proteomics
Nearly 40 % of individuals will be diagnosed with cancer in their lifetime, translating to an estimated 20 million new cases annually. Despite remarkable therapeutic advances, only 15-20 % of patients achieve durable responses to immunotherapy, and t...

Association Between Comorbidity Clusters and Mortality in Patients With Cancer: Predictive Modeling Using Machine Learning Approaches of Data From the United States and Hong Kong.

JMIR cancer
BACKGROUND: Patients with cancer and cancer survivors often experience multiple chronic health conditions, which can impact symptom burden and treatment outcomes. Despite the high prevalence of multimorbidity, research on cancer prognosis has predomi...

Immunodiagnostic plasma amino acid residue biomarkers detect cancer early and predict treatment response.

Nature communications
The immune response to tumour development is frequently targeted with therapeutics but remains largely unexplored in diagnostics, despite being stronger for early-stage tumours. We present an immunodiagnostic platform to detect this. We identify a pa...

Repositioning Radiation Oncology at the centre of integrated oncology care: A manifesto of the European Society for Radiotherapy and Oncology (ESTRO).

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Modern oncology increasingly relies on integrated, multimodality care, yet radiation oncology remains undervalued in strategic frameworks despite its central therapeutic role. This ESTRO manifesto calls for a repositioning of radiation oncology as a ...

AZGP1: A proteomic biomarker in cancer.

Clinica chimica acta; international journal of clinical chemistry
Alpha-2-glycoprotein 1, zinc-binding (AZGP1), functions as a serum AZGP1 biomarker with applications in cancer detection, prognosis, and therapeutic monitoring. This review evaluates AZGP1's analytical performance and clinical utility in multiple mal...