Early detection of colorectal adenocarcinoma: a clinical decision support tool based on plasma porphyrin accumulation and risk factors

Abstract Background An increase in naturally-occurring porphyrins has been described in the blood of subjects bearing different kinds of tumors, including colorectal, and this is probably related to a systemic alteration of heme metabolism induced by tumor cells. The aim of our study was to develop...

Full description

Bibliographic Details
Main Authors: Manuela Lualdi, Adalberto Cavalleri, Luigi Battaglia, Ambrogio Colombo, Giulia Garrone, Daniele Morelli, Emanuele Pignoli, Elisa Sottotetti, Ermanno Leo
Format: Article
Language:English
Published: BMC 2018-08-01
Series:BMC Cancer
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12885-018-4754-2
id doaj-e8f3bcad85b34ec98aa6b0522dd5e9ea
record_format Article
spelling doaj-e8f3bcad85b34ec98aa6b0522dd5e9ea2020-11-24T21:50:00ZengBMCBMC Cancer1471-24072018-08-011811910.1186/s12885-018-4754-2Early detection of colorectal adenocarcinoma: a clinical decision support tool based on plasma porphyrin accumulation and risk factorsManuela Lualdi0Adalberto Cavalleri1Luigi Battaglia2Ambrogio Colombo3Giulia Garrone4Daniele Morelli5Emanuele Pignoli6Elisa Sottotetti7Ermanno Leo8Medical Physics Unit, Fondazione IRCCS Istituto Nazionale dei TumoriEpidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei TumoriColorectal Cancer Unit, Fondazione IRCCS Istituto Nazionale dei TumoriHealth Administration, Fondazione IRCCS Istituto Nazionale dei TumoriEpidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei TumoriDepartment of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei TumoriMedical Physics Unit, Fondazione IRCCS Istituto Nazionale dei TumoriDepartment of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei TumoriColorectal Cancer Unit, Fondazione IRCCS Istituto Nazionale dei TumoriAbstract Background An increase in naturally-occurring porphyrins has been described in the blood of subjects bearing different kinds of tumors, including colorectal, and this is probably related to a systemic alteration of heme metabolism induced by tumor cells. The aim of our study was to develop an artificial neural network (ANN) classifier for early detection of colorectal adenocarcinoma based on plasma porphyrin accumulation and risk factors. Methods We measured the endogenous fluorescence of blood plasma in 100 colorectal adenocarcinoma patients and 112 controls using a conventional spectrofluorometer. Height, weight, personal and family medical history, use of alcohol, red meat, vegetables and tobacco were all recorded. An ANN model was built up from demographic data and from the integral of the fluorescence emission peak in the range 610–650 nm. We used the Receiver Operating Characteristic (ROC) curve to assess performance in distinguishing colorectal adenocarcinoma patients and controls. A liquid chromatography-high resolution mass spectrometry (LC-HRMS) analytical method was employed to identify the agents responsible for native fluorescence. Results The fluorescence analysis indicated that the integral of the fluorescence emission peak in the range 610–650 nm was significantly higher in colorectal adenocarcinoma patients than controls (p < 0.0001) and was weakly correlated with the TNM staging (Spearman’s rho = 0.224, p = 0.011). LC-HRMS measurements showed that the agents responsible for the fluorescence emission were mainly protoporphyrin-IX (PpIX) and coproporphyrin-I (CpI). The overall accuracy of our ANN model was 88% (87% sensitivity and 90% specificity) with an area under the ROC curve of 0.83. Conclusions These results confirm that tumor cells accumulate a diagnostic level of endogenous porphyrin compounds and suggest that plasma porphyrin concentrations, indirectly measured through fluorescence analysis, may be useful, together with risk factors, as a clinical decision support tool for the early detection of colorectal adenocarcinoma. Our future efforts will be aimed at examining how plasma porphyrin accumulation correlates with survival and response to therapy.http://link.springer.com/article/10.1186/s12885-018-4754-2Colorectal canceradenocarcinomatumor markernative fluorescenceProtoporphyrin IXCoproporphyrin I
collection DOAJ
language English
format Article
sources DOAJ
author Manuela Lualdi
Adalberto Cavalleri
Luigi Battaglia
Ambrogio Colombo
Giulia Garrone
Daniele Morelli
Emanuele Pignoli
Elisa Sottotetti
Ermanno Leo
spellingShingle Manuela Lualdi
Adalberto Cavalleri
Luigi Battaglia
Ambrogio Colombo
Giulia Garrone
Daniele Morelli
Emanuele Pignoli
Elisa Sottotetti
Ermanno Leo
Early detection of colorectal adenocarcinoma: a clinical decision support tool based on plasma porphyrin accumulation and risk factors
BMC Cancer
Colorectal cancer
adenocarcinoma
tumor marker
native fluorescence
Protoporphyrin IX
Coproporphyrin I
author_facet Manuela Lualdi
Adalberto Cavalleri
Luigi Battaglia
Ambrogio Colombo
Giulia Garrone
Daniele Morelli
Emanuele Pignoli
Elisa Sottotetti
Ermanno Leo
author_sort Manuela Lualdi
title Early detection of colorectal adenocarcinoma: a clinical decision support tool based on plasma porphyrin accumulation and risk factors
title_short Early detection of colorectal adenocarcinoma: a clinical decision support tool based on plasma porphyrin accumulation and risk factors
title_full Early detection of colorectal adenocarcinoma: a clinical decision support tool based on plasma porphyrin accumulation and risk factors
title_fullStr Early detection of colorectal adenocarcinoma: a clinical decision support tool based on plasma porphyrin accumulation and risk factors
title_full_unstemmed Early detection of colorectal adenocarcinoma: a clinical decision support tool based on plasma porphyrin accumulation and risk factors
title_sort early detection of colorectal adenocarcinoma: a clinical decision support tool based on plasma porphyrin accumulation and risk factors
publisher BMC
series BMC Cancer
issn 1471-2407
publishDate 2018-08-01
description Abstract Background An increase in naturally-occurring porphyrins has been described in the blood of subjects bearing different kinds of tumors, including colorectal, and this is probably related to a systemic alteration of heme metabolism induced by tumor cells. The aim of our study was to develop an artificial neural network (ANN) classifier for early detection of colorectal adenocarcinoma based on plasma porphyrin accumulation and risk factors. Methods We measured the endogenous fluorescence of blood plasma in 100 colorectal adenocarcinoma patients and 112 controls using a conventional spectrofluorometer. Height, weight, personal and family medical history, use of alcohol, red meat, vegetables and tobacco were all recorded. An ANN model was built up from demographic data and from the integral of the fluorescence emission peak in the range 610–650 nm. We used the Receiver Operating Characteristic (ROC) curve to assess performance in distinguishing colorectal adenocarcinoma patients and controls. A liquid chromatography-high resolution mass spectrometry (LC-HRMS) analytical method was employed to identify the agents responsible for native fluorescence. Results The fluorescence analysis indicated that the integral of the fluorescence emission peak in the range 610–650 nm was significantly higher in colorectal adenocarcinoma patients than controls (p < 0.0001) and was weakly correlated with the TNM staging (Spearman’s rho = 0.224, p = 0.011). LC-HRMS measurements showed that the agents responsible for the fluorescence emission were mainly protoporphyrin-IX (PpIX) and coproporphyrin-I (CpI). The overall accuracy of our ANN model was 88% (87% sensitivity and 90% specificity) with an area under the ROC curve of 0.83. Conclusions These results confirm that tumor cells accumulate a diagnostic level of endogenous porphyrin compounds and suggest that plasma porphyrin concentrations, indirectly measured through fluorescence analysis, may be useful, together with risk factors, as a clinical decision support tool for the early detection of colorectal adenocarcinoma. Our future efforts will be aimed at examining how plasma porphyrin accumulation correlates with survival and response to therapy.
topic Colorectal cancer
adenocarcinoma
tumor marker
native fluorescence
Protoporphyrin IX
Coproporphyrin I
url http://link.springer.com/article/10.1186/s12885-018-4754-2
work_keys_str_mv AT manuelalualdi earlydetectionofcolorectaladenocarcinomaaclinicaldecisionsupporttoolbasedonplasmaporphyrinaccumulationandriskfactors
AT adalbertocavalleri earlydetectionofcolorectaladenocarcinomaaclinicaldecisionsupporttoolbasedonplasmaporphyrinaccumulationandriskfactors
AT luigibattaglia earlydetectionofcolorectaladenocarcinomaaclinicaldecisionsupporttoolbasedonplasmaporphyrinaccumulationandriskfactors
AT ambrogiocolombo earlydetectionofcolorectaladenocarcinomaaclinicaldecisionsupporttoolbasedonplasmaporphyrinaccumulationandriskfactors
AT giuliagarrone earlydetectionofcolorectaladenocarcinomaaclinicaldecisionsupporttoolbasedonplasmaporphyrinaccumulationandriskfactors
AT danielemorelli earlydetectionofcolorectaladenocarcinomaaclinicaldecisionsupporttoolbasedonplasmaporphyrinaccumulationandriskfactors
AT emanuelepignoli earlydetectionofcolorectaladenocarcinomaaclinicaldecisionsupporttoolbasedonplasmaporphyrinaccumulationandriskfactors
AT elisasottotetti earlydetectionofcolorectaladenocarcinomaaclinicaldecisionsupporttoolbasedonplasmaporphyrinaccumulationandriskfactors
AT ermannoleo earlydetectionofcolorectaladenocarcinomaaclinicaldecisionsupporttoolbasedonplasmaporphyrinaccumulationandriskfactors
_version_ 1725885913696829440