Prognostic prediction by liver tissue proteomic profiling in patients with colorectal liver metastases.
Aim: To obtain proteomic profiles in patients with colorectal liver metastases (CRLM) and identify the relationship between profiles and the prognosis of CRLM patients.Materials& Methods: Prognosis prediction (favorable or unfavorable according to Fong's score) by a classification and regression tre...
| Publicado en: | Future Oncology Vol. 13; no. 8; pp. 875 - 883 |
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| Autores principales: | , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Taylor & Francis Ltd
Apr2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=121709802&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 121709802 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14796694 3CMQ jtl: Future Oncology issn: 14796694 maglogo: N pubinfo: dt: Apr2017 vid: 13 iid: 8 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 121709802 121709802 NLM28088872 10.2217/fon-2016-0461 NLM28088872 121709802 ppf: 875 ppct: 8 formats: tig: atl: Prognostic prediction by liver tissue proteomic profiling in patients with colorectal liver metastases. aug: au: Reyes, Adalgiza Marti, Josep Marfà, Santiago Jiménez, Wladimiro Reichenbach, Vedrana Pelegrina, Amalia Fondevila, Constantino Garcia Valdecasas, Juan Carlos Fuster, Josep affil: Liver Surgery & Transplantation Unit, Department of Surgery, ICMDM, Hospital Clinic, IDIBAPS, CIBERehd, Villarroel, 170, 08036, Barcelona, Spain sug: subj: Liver Neoplasms Colorectal Neoplasms Pathology Proteomics Liver Neoplasms Metabolism Proteomics Methods Male Liver Neoplasms Mortality Female Case Control Studies Prognosis Aged, 80 and Over Aged Adult Colorectal Neoplasms Mortality Middle Age Aged, 80 & over Aged: 65+ years Adult: 19-44 years Middle Aged: 45-64 years Male Female ab: Aim: To obtain proteomic profiles in patients with colorectal liver metastases (CRLM) and identify the relationship between profiles and the prognosis of CRLM patients.Materials& Methods: Prognosis prediction (favorable or unfavorable according to Fong's score) by a classification and regression tree algorithm of surface-enhanced laser desorption/ionization TOF-MS proteomic profiles from cryopreserved CRLM (patients) and normal liver tissue (controls).Results: The protein peak 7371 m/z showed the clearest differences between CRLM and control groups (94.1% sensitivity, 100% specificity, p < 0.001). The algorithm that best differentiated favorable and unfavorable groups combined 2970 and 2871 m/z protein peaks (100% sensitivity, 90% specificity).Conclusion: Proteomic profiling in liver samples using classification and regression tree algorithms is a promising technique to differentiate healthy subjects from CRLM patients and to classify the severity of CRLM patients. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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