AIMC Topic: Progression-Free Survival

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Personalised Medicine for Colorectal Cancer Using Mechanism-Based Machine Learning Models.

International journal of molecular sciences Sep 15, 2021
Gaining insight into the mechanisms of signal transduction networks (STNs) by using critical features from patient-specific mathematical models can improve patient stratification and help to identify potential drug targets. To achieve this, these mod...
Humans Neoplasm Proteins Models, Biological Progression-Free Survival Linear Models Kaplan-Meier Estimate Wnt Signaling Pathway Machine Learning Precision Medicine Colorectal Neoplasms Gene Expression Regulation, Neoplastic Proteomics
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Sex Differences in the Association Between Inflammation and Event-Free Survival in Patients With Heart Failure.

The Journal of cardiovascular nursing Jul 8, 2021
BACKGROUND: Heart failure (HF) is associated with chronic inflammation, which is adversely associated with survival. Although sex-related differences in inflammation have been described in patients with HF, whether sex-related differences in inflamma...
Disease-Free Survival Middle Aged Humans Inflammation Prospective Studies Heart Failure Female Progression-Free Survival Aged Sex Characteristics Male
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Utilization of circulating cell-free DNA profiling to guide first-line chemotherapy in advanced lung squamous cell carcinoma.

Theranostics Jan 1, 2021
Platinum-based chemotherapy is one of treatment mainstay for patients with advanced lung squamous cell carcinoma (LUSC) but it is still a "one-size fits all" approach. Here, we aimed to investigate the predictive and monitoring role of circulating c...
Progression-Free Survival Deoxycytidine Gemcitabine Circulating Tumor DNA Treatment Outcome Cell-Free Nucleic Acids DNA Copy Number Variations Cisplatin Paclitaxel Humans Machine Learning Prognosis Survival Rate Female Carcinoma, Squamous Cell Male Aged Middle Aged Lung Neoplasms Antineoplastic Combined Chemotherapy Protocols
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Using Machine Learning Algorithms to Predict Immunotherapy Response in Patients with Advanced Melanoma.

Clinical cancer research : an official journal of the American Association for Cancer Research Nov 18, 2020
PURPOSE: Several biomarkers of response to immune checkpoint inhibitors (ICI) show potential but are not yet scalable to the clinic. We developed a pipeline that integrates deep learning on histology specimens with clinical data to predict ICI respon...
Humans Skin Neoplasms Aged Adult Male Middle Aged Risk Assessment Machine Learning Prospective Studies Prognosis Female Melanoma Neoplasm Staging Disease Progression Skin ROC Curve Progression-Free Survival Immune Checkpoint Inhibitors Drug Resistance, Neoplasm Image Processing, Computer-Assisted Follow-Up Studies
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Non-invasive decision support for NSCLC treatment using PET/CT radiomics.

Nature communications Oct 16, 2020
Two major treatment strategies employed in non-small cell lung cancer, NSCLC, are tyrosine kinase inhibitors, TKIs, and immune checkpoint inhibitors, ICIs. The choice of strategy is based on heterogeneous biomarkers that can dynamically change during...
ErbB Receptors Protein Kinase Inhibitors Humans Female Aged Male Middle Aged Positron Emission Tomography Computed Tomography Mutation Progression-Free Survival Deep Learning Lung Neoplasms Carcinoma, Non-Small-Cell Lung
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Optimization of an automated tumor-infiltrating lymphocyte algorithm for improved prognostication in primary melanoma.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Oct 1, 2020
Tumor-infiltrating lymphocytes (TIL) have potential prognostic value in melanoma and have been considered for inclusion in the American Joint Committee on Cancer (AJCC) staging criteria. However, interobserver discordance continues to prevent the ado...
Progression-Free Survival Microscopy Image Interpretation, Computer-Assisted Lymphocyte Count Lymphocytes, Tumor-Infiltrating Predictive Value of Tests Neoplasm Staging Biopsy Neoplasm Recurrence, Local Reproducibility of Results Risk Factors Aged Adult Tumor Microenvironment Male Middle Aged Risk Assessment Disease Progression Diagnosis, Computer-Assisted Databases, Factual Retrospective Studies Female Melanoma Skin Neoplasms Humans Machine Learning Automation, Laboratory
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Intensity harmonization techniques influence radiomics features and radiomics-based predictions in sarcoma patients.

Scientific reports Sep 23, 2020
Intensity harmonization techniques (IHT) are mandatory to homogenize multicentric MRIs before any quantitative analysis because signal intensities (SI) do not have standardized units. Radiomics combine quantification of tumors' radiological phenotype...
Aged Aged, 80 and over Young Adult Adult Male Middle Aged Magnetic Resonance Imaging Radiography Sarcoma Soft Tissue Neoplasms Humans Prognosis Female Reproducibility of Results Supervised Machine Learning Progression-Free Survival Image Interpretation, Computer-Assisted
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Cancer gene expression profiles associated with clinical outcomes to chemotherapy treatments.

BMC medical genomics Sep 18, 2020
BACKGROUND: Machine learning (ML) methods still have limited applicability in personalized oncology due to low numbers of available clinically annotated molecular profiles. This doesn't allow sufficient training of ML classifiers that could be used f...
Neoplasms Antineoplastic Agents Gene Expression Profiling Treatment Outcome Progression-Free Survival Humans Machine Learning
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Combining gene expression profiling and machine learning to diagnose B-cell non-Hodgkin lymphoma.

Blood cancer journal May 22, 2020
Non-Hodgkin B-cell lymphomas (B-NHLs) are a highly heterogeneous group of mature B-cell malignancies. Their classification thus requires skillful evaluation by expert hematopathologists, but the risk of error remains higher in these tumors than in ma...
Lymphoma, B-Cell Biomarkers, Tumor Gene Expression Profiling Transcriptome Diagnosis, Computer-Assisted Progression-Free Survival Humans Machine Learning Tumor Microenvironment
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Applications of radiomics and machine learning for radiotherapy of malignant brain tumors.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] May 11, 2020
BACKGROUND: Magnetic resonance imaging (MRI) and amino acid positron-emission tomography (PET) of the brain contain a vast amount of structural and functional information that can be analyzed by machine learning algorithms and radiomics for the use o...
Neoplasm Recurrence, Local Progression-Free Survival Positron-Emission Tomography Radiotherapy Planning, Computer-Assisted DNA Modification Methylases Diagnosis, Differential Neoplasm Proteins Glioblastoma Radiation Oncology Neoplasm Grading Isocitrate Dehydrogenase Imaging Genomics DNA Repair Enzymes Tumor Suppressor Proteins Neuroimaging Radiosurgery Promoter Regions, Genetic Humans Sensitivity and Specificity Brain Neoplasms Deep Learning Image Processing, Computer-Assisted Computational Biology Glioma Magnetic Resonance Imaging DNA Methylation
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