4.4 Article

Lung cancer survival prediction and biomarker identification with an ensemble machine learning analysis of tumor core biopsy metabolomic data

Related references

Note: Only part of the references are listed.
Article Endocrinology & Metabolism

Lung cancer metabolomic data from tumor core biopsies enables risk-score calculation for progression-free and overall survival

Hunter A. Miller et al.

Summary: Metabolomic analysis of lung tumor core biopsies, combined with covariates, successfully stratified patients into low- and high-risk groups for predicting overall survival and progression-free survival.

METABOLOMICS (2022)

Article Oncology

Urinary malate dehydrogenase 2 is a new biomarker for early detection of non-small-cell lung cancer

Yu-Chen Ma et al.

Summary: Urinary MDH2 concentration was found to be higher in early-stage NSCLC patients, indicating its potential as a biomarker for early detection of NSCLC.

CANCER SCIENCE (2021)

Article Oncology

Guanosine monophosphate synthase upregulation mediates cervical cancer progression by inhibiting the apoptosis of cervical cancer cells via the Stat3/P53 pathway

Juan Wang et al.

Summary: The study found that GMPS is highly expressed in cervical cancer, positively correlated with tumor differentiation and invasion depth. Furthermore, GMPS knockdown inhibited proliferation and colony formation, while promoting aging and apoptosis of cervical cancer cells.

INTERNATIONAL JOURNAL OF ONCOLOGY (2021)

Article Computer Science, Information Systems

Lung cancer survival period prediction and understanding: Deep learning approaches

Shreyesh Doppalapudi et al.

Summary: In this study, deep learning models were used to predict survival periods of lung cancer patients, outperforming traditional machine learning models. Feature importance analysis was conducted to understand the factors impacting survival periods, providing a baseline for early cancer diagnosis.

INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS (2021)

Article Oncology

Evaluation of disease staging and chemotherapeutic response in non-small cell lung cancer from patient tumor-derived metabolomic data

Hunter A. Miller et al.

Summary: This study explores predictive models for staging and chemotherapy response in non-small cell lung cancer based on metabolomic analysis of patient-derived core biopsies. Machine learning techniques were applied to differentiate between different disease statuses and treatment responses with high accuracy. The results demonstrate the potential for comprehensive evaluation of patient-specific metabolic profiles to guide clinical decision-making.

LUNG CANCER (2021)

Review Oncology

Tryptophan and Its Metabolites in Lung Cancer: Basic Functions and Clinical Significance

Chenwei Li et al.

Summary: Lung cancer is the most lethal malignancy worldwide, and tryptophan and its metabolites play important roles in regulating the progression of lung cancer, including modulating the tumor environment, promoting immune suppression, and drug resistance. Progress has been made in therapeutic drugs targeting tryptophan metabolism and the kynurenine pathway, with ongoing clinical trials.

FRONTIERS IN ONCOLOGY (2021)

Article Radiology, Nuclear Medicine & Medical Imaging

Preoperative CT-based Deep Learning Model for Predicting Disease-Free Survival in Patients with Lung Adenocarcinomas

Hyungjin Kim et al.

RADIOLOGY (2020)

Article Medicine, General & Internal

Development and Validation of a Deep Learning Model for Non-Small Cell Lung Cancer Survival

Yunlang She et al.

JAMA NETWORK OPEN (2020)

Article Geriatrics & Gerontology

Pre-diagnostic Serum Metabolomic Profiling of Prostate Cancer Survival

Jiaqi Huang et al.

JOURNALS OF GERONTOLOGY SERIES A-BIOLOGICAL SCIENCES AND MEDICAL SCIENCES (2019)

Article Respiratory System

A nomogram to predict overall survival of patients with early stage non-small cell lung cancer

Jiahui Zhang et al.

JOURNAL OF THORACIC DISEASE (2019)

Review Endocrinology & Metabolism

Branched-chain amino acid metabolism in cancer

Elitsa A. Ananieva et al.

CURRENT OPINION IN CLINICAL NUTRITION AND METABOLIC CARE (2018)

Review Endocrinology & Metabolism

A review of metabolism-associated biomarkers in lung cancer diagnosis and treatment

Sanaya Bamji-Stocke et al.

METABOLOMICS (2018)

Article Biochemistry & Molecular Biology

MetaboAnalyst 4.0: towards more transparent and integrative metabolomics analysis

Jasmine Chong et al.

NUCLEIC ACIDS RESEARCH (2018)

Review Radiology, Nuclear Medicine & Medical Imaging

The 8th lung cancer TNM classification and clinical staging system: review of the changes and clinical implications

Wanyin Lim et al.

QUANTITATIVE IMAGING IN MEDICINE AND SURGERY (2018)

Article Respiratory System

Nomogram prediction for the survival of the patients with small cell lung cancer

Hui Pan et al.

JOURNAL OF THORACIC DISEASE (2017)

Article Oncology

Drawing Nomograms with R: applications to categorical outcome and survival data

Zhongheng Zhang et al.

ANNALS OF TRANSLATIONAL MEDICINE (2017)

Editorial Material Oncology

Nominal nomograms and marginal margins: what is the law of the line?

R. Lor Randall et al.

LANCET ONCOLOGY (2016)

Review Biochemistry & Molecular Biology

Serine and glycine metabolism in cancer

Ivano Amelio et al.

TRENDS IN BIOCHEMICAL SCIENCES (2014)

Article Pharmacology & Pharmacy

Clinical metabolomics paves the way towards future healthcare strategies

Sebastiano Collino et al.

BRITISH JOURNAL OF CLINICAL PHARMACOLOGY (2013)

Article Multidisciplinary Sciences

Reversal of tumoral immune resistance by inhibition of tryptophan 2,3-dioxygenase

Luc Pilotte et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2012)

Article Computer Science, Software Engineering

Lung cancer survival prediction using ensemble data mining on SEER data

Ankit Agrawal et al.

SCIENTIFIC PROGRAMMING (2012)

Review Oncology

Tumor metabolism as modulator of immune response and tumor progression

Eva Gottfried et al.

SEMINARS IN CANCER BIOLOGY (2012)

Article Medical Laboratory Technology

Clinical Significance of Simultaneous Determination of Serum Tryptophan and Tyrosine in Patients With Lung Cancer

Ya-Ping Ren et al.

JOURNAL OF CLINICAL LABORATORY ANALYSIS (2011)

Review Oncology

Choline metabolism in malignant transformation

Kristine Glunde et al.

NATURE REVIEWS CANCER (2011)

Review Immunology

IDO expression by dendritic cells: Tolerance and tryptophan catabolism

AL Mellor et al.

NATURE REVIEWS IMMUNOLOGY (2004)

Article Pharmacology & Pharmacy

Tumor-promoting functions of adenosine

J Spychala

PHARMACOLOGY & THERAPEUTICS (2000)