Learning to See Cancer in Early Detection Research

This article explores how scientists learn to detect ‘pre-cancer’, a new diagnostic category defined by the risk of developing the titular disease. This process entails the observation of ‘raw signals’ that stand for potential molecular and metabolic changes in animal and human tissues and their val...

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Main Author: Ignacia Arteaga Pérez
Format: Article
Language:English
Published: University of Edinburgh Library 2021-08-01
Series:Medicine Anthropology Theory
Subjects:
Online Access:http://www.medanthrotheory.org/article/view/5108
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author Ignacia Arteaga Pérez
author_facet Ignacia Arteaga Pérez
author_sort Ignacia Arteaga Pérez
collection DOAJ
description This article explores how scientists learn to detect ‘pre-cancer’, a new diagnostic category defined by the risk of developing the titular disease. This process entails the observation of ‘raw signals’ that stand for potential molecular and metabolic changes in animal and human tissues and their validation as ‘candidate biomarkers’. I draw on ethnographic fieldwork conducted alongside a multidisciplinary group of researchers—physicists, biologists, mathematicians, computer scientists, and engineers, among others—all of whom worked as part of a research programme investigating the early signs and detection of cancer in the UK. ‘Signals’ detected through scientific experiments are intimately entangled with the sensing technologies and analytical techniques used. As previously unknown microscopic realities emerge, scientists seek to negotiate the uncertainty surrounding the identification and validation of signals as candidate biomarkers before they can be tested in clinical trials.
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spelling doaj.art-48a62b11fdf743eb9fba0d9997f23ac22022-12-21T22:37:50ZengUniversity of Edinburgh LibraryMedicine Anthropology Theory2405-691X2021-08-018212510.17157/mat.8.2.51085108Learning to See Cancer in Early Detection ResearchIgnacia Arteaga Pérez0University of CambridgeThis article explores how scientists learn to detect ‘pre-cancer’, a new diagnostic category defined by the risk of developing the titular disease. This process entails the observation of ‘raw signals’ that stand for potential molecular and metabolic changes in animal and human tissues and their validation as ‘candidate biomarkers’. I draw on ethnographic fieldwork conducted alongside a multidisciplinary group of researchers—physicists, biologists, mathematicians, computer scientists, and engineers, among others—all of whom worked as part of a research programme investigating the early signs and detection of cancer in the UK. ‘Signals’ detected through scientific experiments are intimately entangled with the sensing technologies and analytical techniques used. As previously unknown microscopic realities emerge, scientists seek to negotiate the uncertainty surrounding the identification and validation of signals as candidate biomarkers before they can be tested in clinical trials.http://www.medanthrotheory.org/article/view/5108early detectioncancermolecularisationbiomarkersuncertainty
spellingShingle Ignacia Arteaga Pérez
Learning to See Cancer in Early Detection Research
Medicine Anthropology Theory
early detection
cancer
molecularisation
biomarkers
uncertainty
title Learning to See Cancer in Early Detection Research
title_full Learning to See Cancer in Early Detection Research
title_fullStr Learning to See Cancer in Early Detection Research
title_full_unstemmed Learning to See Cancer in Early Detection Research
title_short Learning to See Cancer in Early Detection Research
title_sort learning to see cancer in early detection research
topic early detection
cancer
molecularisation
biomarkers
uncertainty
url http://www.medanthrotheory.org/article/view/5108
work_keys_str_mv AT ignaciaarteagaperez learningtoseecancerinearlydetectionresearch