AIMC Topic: Antineoplastic Combined Chemotherapy Protocols

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Machine learning and natural language processing (NLP) approach to predict early progression to first-line treatment in real-world hormone receptor-positive (HR+)/HER2-negative advanced breast cancer patients.

European journal of cancer (Oxford, England : 1990) Dec 26, 2020
BACKGROUND: CDK4/6 inhibitors plus endocrine therapies are the current standard of care in the first-line treatment of HR+/HER2-negative metastatic breast cancer, but there are no well-established clinical or molecular predictive factors for patient ...
Female Aged Aged, 80 and over Young Adult Adult Machine Learning Prognosis Retrospective Studies Electronic Health Records Follow-Up Studies Natural Language Processing Receptor, ErbB-2 Receptors, Estrogen Receptors, Progesterone Survival Rate Breast Neoplasms Middle Aged Disease Progression Antineoplastic Combined Chemotherapy Protocols Humans
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H-RACS: a handy tool to rank anti-cancer synergistic drugs.

Aging Nov 10, 2020
Though promising, identifying synergistic combinations from a large pool of candidate drugs remains challenging for cancer treatment. Due to unclear mechanism and limited confirmed cases, only a few computational algorithms are able to predict drug s...
Neoplasms Antineoplastic Agents Cell Line, Tumor Humans Antineoplastic Combined Chemotherapy Protocols Structure-Activity Relationship Machine Learning Molecular Structure Reproducibility of Results Drug Synergism Databases, Pharmaceutical
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Synergistic drug combinations and machine learning for drug repurposing in chordoma.

Scientific reports Jul 31, 2020
Chordoma is a devastating rare cancer that affects one in a million people. With a mean-survival of just 6 years and no approved medicines, the primary treatments are surgery and radiation. In order to speed new medicines to chordoma patients, a drug...
Benzamides Morpholines Chordoma Humans Machine Learning Cell Line, Tumor Antineoplastic Combined Chemotherapy Protocols Neoplasm Proteins Pyridines Drug Repositioning Piperazines Pyrimidines
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A priori prediction of tumour response to neoadjuvant chemotherapy in breast cancer patients using quantitative CT and machine learning.

Scientific reports Jul 2, 2020
Response to Neoadjuvant chemotherapy (NAC) has demonstrated a high correlation to survival in locally advanced breast cancer (LABC) patients. An early prediction of responsiveness to NAC could facilitate treatment adjustments on an individual patient...
Machine Learning Prognosis Tomography, X-Ray Computed Female Aged Humans Middle Aged Adolescent ROC Curve Antineoplastic Combined Chemotherapy Protocols Neoadjuvant Therapy Aged, 80 and over Young Adult Adult Breast Neoplasms Receptors, Progesterone Follow-Up Studies Carcinoma, Lobular Receptor, ErbB-2 Carcinoma, Ductal, Breast Receptors, Estrogen
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Robot-assisted combined pancreatectomy/hepatectomy for metastatic pancreatic acinar cell carcinoma: case report and review of the literature.

Clinical journal of gastroenterology Jun 25, 2020
Acinar cell carcinoma (ACC) of the pancreas is a rare neoplasm with less aggressive behavior than ductal carcinoma. As a result, surgical resection for metastatic ACC is a therapeutic option which can result in long-term survival. There is a paucity ...
Pancreatic Neoplasms Robotics Hepatectomy Pancreatectomy Carcinoma, Acinar Cell Humans Male Antineoplastic Combined Chemotherapy Protocols Treatment Outcome
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A machine learning model that classifies breast cancer pathologic complete response on MRI post-neoadjuvant chemotherapy.

Breast cancer research : BCR May 28, 2020
BACKGROUND: For breast cancer patients undergoing neoadjuvant chemotherapy (NAC), pathologic complete response (pCR; no invasive or in situ) cannot be assessed non-invasively so all patients undergo surgery. The aim of our study was to develop and va...
Breast Neoplasms Middle Aged ROC Curve Antineoplastic Combined Chemotherapy Protocols Neoadjuvant Therapy Follow-Up Studies Magnetic Resonance Imaging Carcinoma, Ductal, Breast Carcinoma, Lobular Humans Machine Learning Prognosis Retrospective Studies Female
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Identification of Non-Small Cell Lung Cancer Sensitive to Systemic Cancer Therapies Using Radiomics.

Clinical cancer research : an official journal of the American Association for Cancer Research Mar 20, 2020
PURPOSE: Using standard-of-care CT images obtained from patients with a diagnosis of non-small cell lung cancer (NSCLC), we defined radiomics signatures predicting the sensitivity of tumors to nivolumab, docetaxel, and gefitinib.
Female Survival Rate Male Disease Progression Lung Neoplasms Antineoplastic Combined Chemotherapy Protocols Carcinoma, Non-Small-Cell Lung Randomized Controlled Trials as Topic Clinical Trials, Phase II as Topic Humans Machine Learning Prognosis Retrospective Studies Tomography, X-Ray Computed Nivolumab Docetaxel Clinical Trials, Phase III as Topic Gefitinib
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Machine Learning for Cancer Drug Combination.

Clinical pharmacology and therapeutics Feb 11, 2020
When treating multiple complex diseases, such as cancer, polytherapy may demonstrate efficiency than monotherapy. However, due to the multiplicative relationship between the number of drugs and cell lines vs. the number of combinations, it is impract...
Forecasting Computer Simulation Antineoplastic Combined Chemotherapy Protocols Drug Development Humans Machine Learning
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Prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer using a deep learning (DL) method.

Thoracic cancer Jan 16, 2020
BACKGROUND: The aim of the study was to develop a deep learning (DL) algorithm to evaluate the pathological complete response (pCR) to neoadjuvant chemotherapy in breast cancer.
Neoadjuvant Therapy Breast Neoplasms Chemotherapy, Adjuvant Humans Follow-Up Studies Middle Aged Carcinoma, Papillary Prognosis Neoplasm Invasiveness Deep Learning Carcinoma, Lobular Retrospective Studies Carcinoma, Ductal, Breast ROC Curve Female Antineoplastic Combined Chemotherapy Protocols
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FOLFOX treatment response prediction in metastatic or recurrent colorectal cancer patients via machine learning algorithms.

Cancer medicine Jan 1, 2020
Early identification of metastatic or recurrent colorectal cancer (CRC) patients who will be sensitive to FOLFOX (5-FU, leucovorin and oxaliplatin) therapy is very important. We performed microarray meta-analysis to identify differentially expressed ...
Gene Expression Regulation, Neoplastic Humans Antineoplastic Combined Chemotherapy Protocols Intracellular Signaling Peptides and Proteins Machine Learning Neoplasm Recurrence, Local Response Evaluation Criteria in Solid Tumors Prognosis Fluorouracil Leucovorin Colorectal Neoplasms Protein Kinases Datasets as Topic Biomarkers, Tumor Organoplatinum Compounds Gene Expression Profiling Cell Cycle Proteins Oligonucleotide Array Sequence Analysis
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