Related references
Note: Only part of the references are listed.Can We Reliably Identify the Pathological Outcomes of Neoadjuvant Chemotherapy in Patients with Breast Cancer? Development and Validation of a Logistic Regression Nomogram Based on Preoperative Factors
Jian Zhang et al.
ANNALS OF SURGICAL ONCOLOGY (2021)
Identification of breast cancer patients with pathologic complete response in the breast after neoadjuvant systemic treatment by an intelligent vacuum-assisted biopsy
Andre Pfob et al.
EUROPEAN JOURNAL OF CANCER (2021)
A dynamic recursive feature elimination framework (dRFE) to further refine a set of OMIC biomarkers
Yuanyuan Han et al.
BIOINFORMATICS (2021)
Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
Hyuna Sung et al.
CA-A CANCER JOURNAL FOR CLINICIANS (2021)
Screening human lung cancer with predictive models of serum magnetic resonance spectroscopy metabolomics
Tjada A. Schult et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2021)
MetaboAnalyst 5.0: narrowing the gap between raw spectra and functional insights
Zhiqiang Pang et al.
NUCLEIC ACIDS RESEARCH (2021)
FRL: An Integrative Feature Selection Algorithm Based on the Fisher Score, Recursive Feature Elimination, and Logistic Regression to Identify Potential Genomic Biomarkers
Chenyu Ge et al.
BIOMED RESEARCH INTERNATIONAL (2021)
Formate metabolism in health and disease
Matthias Pietzke et al.
MOLECULAR METABOLISM (2020)
Estrogen and Progesterone Receptor Testing in Breast Cancer American Society of Clinical Oncology/College of American Pathologists Guideline Update
Kimberly H. Allison et al.
ARCHIVES OF PATHOLOGY & LABORATORY MEDICINE (2020)
Effect of Estrogen Receptor Status on Circulatory Immune and Metabolomics Profiles of HER2-Positive Breast Cancer Patients Enrolled for Neoadjuvant Targeted Chemotherapy
Alessia Vignoli et al.
CANCERS (2020)
Multiplatform Investigation of Plasma and Tissue Lipid Signatures of Breast Cancer Using Mass Spectrometry Tools
Alex Ap. Rosini Silva et al.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2020)
Alzheimer's disease, mild cognitive impairment, and normal aging distinguished by multi-modal parcellation and machine learning
Jinhua Sheng et al.
SCIENTIFIC REPORTS (2020)
Amino acid transporters: Emerging roles in drug delivery for tumor-targeting therapy
Ling Zhang et al.
ASIAN JOURNAL OF PHARMACEUTICAL SCIENCES (2020)
Machine Learning-Based Ensemble Recursive Feature Selection of Circulating miRNAs for Cancer Tumor Classification
Alejandro Lopez-Rincon et al.
CANCERS (2020)
Multifaceted role of branched-chain amino acid metabolism in cancer
Hui Peng et al.
ONCOGENE (2020)
Combined Metabolomic Analysis of Plasma and Tissue Reveals a Prognostic Risk Score System and Metabolic Dysregulation in Esophageal Squamous Cell Carcinoma
Zhongjian Chen et al.
FRONTIERS IN ONCOLOGY (2020)
A machine learning model that classifies breast cancer pathologic complete response on MRI post-neoadjuvant chemotherapy
Elizabeth J. Sutton et al.
BREAST CANCER RESEARCH (2020)
Application of metabolomics in the diagnosis of breast cancer: a systematic review
Liqing Yang et al.
JOURNAL OF CANCER (2020)
Impact of Machine Learning With Multiparametric Magnetic Resonance Imaging of the Breast for Early Prediction of Response to Neoadjuvant Chemotherapy and Survival Outcomes in Breast Cancer Patients
Amirhessam Tahmassebi et al.
INVESTIGATIVE RADIOLOGY (2019)
LLGL2 rescues nutrient stress by promoting leucine uptake in ER+ breast cancer
Yasuhiro Saito et al.
NATURE (2019)
Salivary metabolomics with alternative decision tree-based machine learning methods for breast cancer discrimination
Takeshi Murata et al.
BREAST CANCER RESEARCH AND TREATMENT (2019)
Assessing Treatment Response and Prognosis by Serum and Tissue Metabolomics in Breast Cancer Patients
Julia Debik et al.
JOURNAL OF PROTEOME RESEARCH (2019)
Metabolic biomarker signature for predicting the effect of neoadjuvant chemotherapy of breast cancer
Xiaojie Lin et al.
ANNALS OF TRANSLATIONAL MEDICINE (2019)
Re-testing of predictive biomarkers on surgical breast cancer specimens is clinically relevant
Stephanie Robertson et al.
BREAST CANCER RESEARCH AND TREATMENT (2019)
mTOR: A Cellular Regulator Interface in Health and Disease
Fahd Boutouja et al.
CELLS (2019)
Stratification of cancer and diabetes based on circulating levels of formate and glucose
Matthias Pietzke et al.
CANCER & METABOLISM (2019)
Response rates and pathologic complete response by breast cancer molecular subtype following neoadjuvant chemotherapy
Waqar Haque et al.
BREAST CANCER RESEARCH AND TREATMENT (2018)
Branched-chain amino acid metabolism in cancer
Elitsa A. Ananieva et al.
CURRENT OPINION IN CLINICAL NUTRITION AND METABOLIC CARE (2018)
A Metabolomic Approach to Predict Breast Cancer Behavior and Chemotherapy Response
Marcella Regina Cardoso et al.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2018)
Amino Acid Transporters and Glutamine Metabolism in Breast Cancer
Yoon Jin Cha et al.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2018)
Pharmacometabonomics Analysis Reveals Serum Formate and Acetate Potentially Associated with Varying Response to Gemcitabine-Carboplatin Chemotherapy in Metastatic Breast Cancer Patients
Limiao Jiang et al.
JOURNAL OF PROTEOME RESEARCH (2018)
Metabolomic Prediction of Human Prostate Cancer Aggressiveness: Magnetic Resonance Spectroscopy of Histologically Benign Tissue
Lindsey A. Vandergrift et al.
SCIENTIFIC REPORTS (2018)
HER2 Testing in Breast Cancer: American Society of Clinical Oncology/College of American Pathologists Clinical Practice Guideline Focused Update Summary
Antonio C. Wolff et al.
JOURNAL OF ONCOLOGY PRACTICE (2018)
The LAT1 inhibitor JPH203 reduces growth of thyroid carcinoma in a fully immunocompetent mouse model
Pascal Hafliger et al.
JOURNAL OF EXPERIMENTAL & CLINICAL CANCER RESEARCH (2018)
Metabolomics approach for predicting response to neoadjuvant chemotherapy for colorectal cancer
Kai Yang et al.
METABOLOMICS (2018)
Use of clinical MRI maximum intensity projections for improved breast lesion classification with deep convolutional neural networks
Natalia Antropova et al.
JOURNAL OF MEDICAL IMAGING (2018)
Research on Logistic Regression Algorithm of Breast Cancer Diagnose Data by Machine Learning
Liu Lei
2018 INTERNATIONAL CONFERENCE ON ROBOTS & INTELLIGENT SYSTEM (ICRIS 2018) (2018)
Logistic LASSO regression for the diagnosis of breast cancer using clinical demographic data and the BI-RADS lexicon for ultrasonography
Sun Mi Kim et al.
ULTRASONOGRAPHY (2018)
Arginine-Dual Roles as an Onconutrient and Immunonutrient
Vance L. Albaugh et al.
JOURNAL OF SURGICAL ONCOLOGY (2017)
A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets
Natalia Antropova et al.
MEDICAL PHYSICS (2017)
Epigenetically regulated Fibronectin leucine rich transmembrane protein 2 (FLRT2) shows tumor suppressor activity in breast cancer cells
Hansol Bae et al.
SCIENTIFIC REPORTS (2017)
The Relation of Serum Arginine Levels with Serum Arginase and Nitric Oxide Synthase Activity in Patients with Breast Cancer
Shelgikar Prachi Jayant et al.
JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH (2017)
Metabolic Markers and Statistical Prediction of Serous Ovarian Cancer Aggressiveness by Ambient Ionization Mass Spectrometry Imaging
Marta Sans et al.
CANCER RESEARCH (2017)
Targeted therapies in breast cancer: New challenges to fight against resistance
Viviana Masoud et al.
WORLD JOURNAL OF CLINICAL ONCOLOGY (2017)
One-Carbon Metabolism in Health and Disease
Gregory S. Ducker et al.
CELL METABOLISM (2017)
Variations in the Abundance of Lipid Biomarker Ions in Mass Spectrometry Images Correlate to Tissue Density
Jade Bilkey et al.
ANALYTICAL CHEMISTRY (2016)
The Emerging Hallmarks of Cancer Metabolism
Natalya N. Pavlova et al.
CELL METABOLISM (2016)
Maternal Embryonic Leucine Zipper Kinase (MELK) as a Novel Mediator and Biomarker of Radioresistance in Human Breast Cancer
Corey Speers et al.
CLINICAL CANCER RESEARCH (2016)
Comparative metabolic and lipidomic profiling of human breast cancer cells with different metastatic potentials
Hye-Youn Kim et al.
ONCOTARGET (2016)
Recommendations for standardized pathological characterization of residual disease for neoadjuvant clinical trials of breast cancer by the BIG-NABCG collaboration
V. Bossuyt et al.
ANNALS OF ONCOLOGY (2015)
Amino Acid Transporters in Cancer and Their Relevance to Glutamine Addiction: Novel Targets for the Design of a New Class of Anticancer Drugs
Yangzom D. Bhutia et al.
CANCER RESEARCH (2015)
Emerging field of metabolomics: Big promise for cancer biomarker identification and drug discovery
Seema Patel et al.
JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS (2015)
Standardization of pathologic evaluation and reporting of postneoadjuvant specimens in clinical trials of breast cancer: recommendations from an international working group
Elena Provenzano et al.
MODERN PATHOLOGY (2015)
Application of Metabolomics in Drug Resistant Breast Cancer Research
Ayesha N. Shajahan-Haq et al.
METABOLITES (2015)
Molecular assessment of surgical-resection margins of gastric cancer by mass-spectrometric imaging
Livia S. Eberlin et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2014)
Drug Resistance and the Role of Combination Chemotherapy in Improving Patient Outcomes
Denise A. Yardley
INTERNATIONAL JOURNAL OF BREAST CANCER (2013)
Definition and Impact of Pathologic Complete Response on Prognosis After Neoadjuvant Chemotherapy in Various Intrinsic Breast Cancer Subtypes
Gunter von Minckwitz et al.
JOURNAL OF CLINICAL ONCOLOGY (2012)
Pathologic Complete Response Predicts Recurrence-Free Survival More Effectively by Cancer Subset: Results From the I-SPY 1 TRIAL-CALGB 150007/150012, ACRIN 6657
Laura J. Esserman et al.
JOURNAL OF CLINICAL ONCOLOGY (2012)
Metabolomics of human breast cancer: new approaches for tumor typing and biomarker discovery
Carsten Denkert et al.
GENOME MEDICINE (2012)
Strategies for subtypes-dealing with the diversity of breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2011
A. Goldhirsch et al.
ANNALS OF ONCOLOGY (2011)
Assessment of Ki67 in Breast Cancer: Recommendations from the International Ki67 in Breast Cancer Working Group
Mitch Dowsett et al.
JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE (2011)
Ovarian cancer detection from metabolomic liquid chromatography/mass spectrometry data by support vector machines
Wei Guan et al.
BMC BIOINFORMATICS (2009)
Ki67 Index, HER2 Status, and Prognosis of Patients With Luminal B Breast Cancer
Maggie C. U. Cheang et al.
JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE (2009)
Nutrient transporters in cancer: Relevance to Warburg hypothesis and beyond
Vadivel Ganapathy et al.
PHARMACOLOGY & THERAPEUTICS (2009)
Measurement of residual breast cancer burden to predict survival after Neoadjuvant chemotherapy
W. Fraser Symmans et al.
JOURNAL OF CLINICAL ONCOLOGY (2007)
Mass spectrometry-based metabolomics
Katja Dettmer et al.
MASS SPECTROMETRY REVIEWS (2007)
Evaluation of radiological features for breast tumour classification in clinical screening with machine learning methods
TW Nattkemper et al.
ARTIFICIAL INTELLIGENCE IN MEDICINE (2005)
Predicting breast cancer survivability: a comparison of three data mining methods
D Delen et al.
ARTIFICIAL INTELLIGENCE IN MEDICINE (2005)
L-Leucine transport in human breast cancer cells (MCF-7 and MDA-MB-231): kinetics, regulation by estrogen and molecular identity of the transporter
DB Shennan et al.
BIOCHIMICA ET BIOPHYSICA ACTA-BIOMEMBRANES (2004)
Gene selection for cancer classification using support vector machines
I Guyon et al.
MACHINE LEARNING (2002)
Interval estimation for a binomial proportion - Comment - Rejoinder
LD Brown et al.
STATISTICAL SCIENCE (2001)
Share Paper
