ArticleSignal transduction and targeted therapy
Predicting responses to platin chemotherapy agents with biochemically-inspired machine learning.
Article in Signal transduction and targeted therapy. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
48 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- AI predicting recurrence in non-muscle-invasive bladder cancer: systematic review with study strengths and weaknesses.Frontiers in oncology · 2024Pooled it
- Genetic Variants Associated With Response to Platinum-Based Chemotherapy in Non-Small Cell Lung Cancer Patients: A Field Synopsis and Meta-Analysis.British journal of biomedical science · 2024Pooled it
- Integration of Federated Learning and Blockchain in Health Care: Tutorial on Medical Data, Architectures, Privacy, Security, and Regulatory Compliance.Journal of medical Internet research · 2026Article
- MAP3K1: A Multifunctional Kinase at the Crossroads of Cancer Progression and Tumor Suppression.Cells · 2026Review
- BiChemoCLAM: a weakly supervised multimodal framework for chemotherapy response prediction.Briefings in bioinformatics · 2026Article
- Artificial intelligence applications in oxaliplatin-based chemotherapy for colon cancer: advancing prognosis, toxicity prediction, and dose personalization.Frontiers in pharmacology · 2026Review
- BOGO: A Proteome-Wide Gene Overexpression Platform for Discovering Rational Cancer Combination Therapies.bioRxiv : the preprint server for biology · 2025Article
- [CT radiomicsZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025Article
- Impact of Population Pharmacogenomics on Cisplatin-Induced Neurotoxicities in Testicular Cancer Survivors.Cancer medicine · 2025Article
- Artificial intelligence in the diagnosis and management of gynecologic cancer.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2025Review
- Beyond Transposons:Genes · 2025Article
- Metabolism score and machine learning models for the prediction of esophageal squamous cell carcinoma progression.Cancer science · 2024Article
- Cancer Mutations Converge on a Collection of Protein Assemblies to Predict Resistance to Replication Stress.Cancer discovery · 2024Article
- Identifying the NEAT1/miR-26b-5p/S100A2 axis as a regulator in Parkinson's disease based on the ferroptosis-related genes.PloS one · 2024Article
- Bioinformatics analysis and experimental verification of TIGD1 in non-small cell lung cancer.Frontiers in medicine · 2024Article
- Transcriptional profiling of molecular pathways allows for the definition of robust lung squamous cell carcinoma molecular subtypes with specific vulnerabilities.Clinical and translational medicine · 2023Article
- Article
- Construction of a risk model and prediction of prognosis and immunotherapy based on cuproptosis-related LncRNAs in the urinary system pan-cancer.European journal of medical research · 2023Article
- Construction of the XGBoost model for early lung cancer prediction based on metabolic indices.BMC medical informatics and decision making · 2023Article
- Cuproptosis-Related Ferroptosis genes for Predicting Prognosis in kidney renal clear cell carcinoma.European journal of medical research · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The selection of effective genes that accurately predict chemotherapy responses might improve cancer outcomes. We compare optimized gene signatures for cisplatin, carboplatin, and oxaliplatin responses in the same cell lines and validate each signature using data from patients with cancer. Supervised support vector machine learning is used to derive gene sets whose expression is related to the cell line GI
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.