Combination of SELDI-TOF-MS and data mining provides early-stage response prediction for rectal tumors undergoing multimodal neoadjuvant therapy. - Wikidata - awgldk - TriplyDB

Combination of SELDI-TOF-MS and data mining provides early-stage response prediction for rectal tumors undergoing multimodal neoadjuvant therapy.

Combination of SELDI-TOF-MS and data mining provides early-stage response prediction for rectal tumors undergoing multimodal neoadjuvant therapy.

http://www.wikidata.org/entity/Q31095551

about

A survey of computational tools for downstream analysis of proteomic and other omic datasets Qualitative evaluation of chromatographic data from quality control schemes using a support vector machine.Applications of SELDI-MS technology in oncology Genomic and oncoproteomic advances in detection and treatment of colorectal cancer Prediction of outcome of non-small cell lung cancer patients treated with chemotherapy and bortezomib by time-course MALDI-TOF-MS serum peptide profiling.Challenges for biomarker discovery in body fluids using SELDI-TOF-MS.Analysis of post-operative changes in serum protein expression profiles from colorectal cancer patients by MALDI-TOF mass spectrometry: a pilot methodological study Identification of protein clusters predictive of tumor response in rectal cancer patients receiving neoadjuvant chemo-radiotherapy.Serum biomarkers which correlate with failure to respond to immunotherapy and tumor progression in a murine colorectal cancer model.A comparison of methods for classifying clinical samples based on proteomics data: a case study for statistical and machine learning approaches.The current state of proteomics in GI oncology.Analysis of serum proteome profiles in nasopharyngeal carcinoma with different radiosensitivity.Prediction of individual response to anticancer therapy: historical and future perspectives Mass spectrometry-based serum and plasma peptidome profiling for prediction of treatment outcome in patients with solid malignancies.Clinical predictive circulating peptides in rectal cancer patients treated with neoadjuvant chemoradiotherapy.MALDI-MS-Based Profiling of Serum Proteome: Detection of Changes Related to Progression of Cancer and Response to Anticancer Treatment.Screening for colorectal cancer: established and emerging modalities.Bulk evaluation and comparison of radiotherapy treatment plans for breast cancer.The use of molecular markers as a method to predict the response to neoadjuvant therapy for advanced stage rectal adenocarcinoma.Molecular staging of colorectal cancer: new paradigm or waste of time?The surgical significance of residual mucosal abnormalities in rectal cancer following neoadjuvant chemoradiotherapy.

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P2860

Combination of SELDI-TOF-MS and data mining provides early-stage response prediction for rectal tumors undergoing multimodal neoadjuvant therapy.

http://www.wikidata.org/entity/Q31095551

description

2007 nî lūn-bûn

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2007 թուականի Փետրուարին հրատարակուած գիտական յօդուած

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2007 թվականի փետրվարին հրատարակված գիտական հոդված

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2007年の論文

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2007年論文

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2007年論文

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2007年論文

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2007年論文

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2007年論文

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2007年论文

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name

Combination of SELDI-TOF-MS an ...... ultimodal neoadjuvant therapy.

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Combination of SELDI-TOF-MS an ...... ultimodal neoadjuvant therapy.

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Combination of SELDI-TOF-MS an ...... ultimodal neoadjuvant therapy.

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Annals of Surgery

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Combination of SELDI-TOF-MS an ...... ultimodal neoadjuvant therapy.

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Elton Rexhepaj

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Emanuel F Petricoin

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Fraser M Smith

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Lance Liotta

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M John Kennedy

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Richard B Stephens

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P2860

Application of serum SELDI proteomic patterns in diagnosis of lung cancer

Clinical proteomics: written in blood

Preoperative radiochemotherapy and sphincter-saving resection for T3 carcinomas of the lower third of the rectum

Use of proteomic patterns in serum to identify ovarian cancer.

An integrated approach to the detection of colorectal cancer utilizing proteomics and bioinformatics.

Artificial neural networks analysis of surface-enhanced laser desorption/ionization mass spectra of serum protein pattern distinguishes colorectal cancer from healthy population.

Support vector machine classification and validation of cancer tissue samples using microarray expression data.

Use of proteomic analysis to monitor responses to biological therapies.

Analysis of Human Proteome Organization Plasma Proteome Project (HUPO PPP) reference specimens using surface enhanced laser desorption/ionization-time of flight (SELDI-TOF) mass spectrometry: multi-institution correlation of spectra and identificati

DNA damage-induced apoptosis.

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John V Reynolds

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