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Performance of gene...
Performance of gene expression-based single sample predictors for assessment of clinicopathological subgroups and molecular subtypes in cancers : a case comparison study in non-small cell lung cancer
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- Cirenajwis, Helena (författare)
- Lund University,Lunds universitet,Bröstcancer-genetik,Sektion I,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Melanoma Genomics,Forskargrupper vid Lunds universitet,Breastcancer-genetics,Section I,Department of Clinical Sciences, Lund,Faculty of Medicine,Lund University Research Groups
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- Lauss, Martin (författare)
- Lund University,Lunds universitet,Bröstcancer-genetik,Sektion I,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Melanoma Genomics,Forskargrupper vid Lunds universitet,Breastcancer-genetics,Section I,Department of Clinical Sciences, Lund,Faculty of Medicine,Lund University Research Groups
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- Planck, Maria (författare)
- Lund University,Lunds universitet,Bröstcancer-genetik,Sektion I,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Forskningsgrupp Lungcancer,Forskargrupper vid Lunds universitet,Breastcancer-genetics,Section I,Department of Clinical Sciences, Lund,Faculty of Medicine,Research Group Lung Cancer,Lund University Research Groups
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- Vallon-Christersson, Johan (författare)
- Lund University,Lunds universitet,Bröstcancer-genetik,Sektion I,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Breastcancer-genetics,Section I,Department of Clinical Sciences, Lund,Faculty of Medicine
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- Staaf, Johan (författare)
- Lund University,Lunds universitet,Bröstcancer-genetik,Sektion I,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Breastcancer-genetics,Section I,Department of Clinical Sciences, Lund,Faculty of Medicine
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(creator_code:org_t)
- 2019-02-04
- 2019
- Engelska 12 s.
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Ingår i: Briefings in Bioinformatics. - : Oxford University Press (OUP). - 1477-4054 .- 1467-5463. ; 21:2, s. 729-740
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Abstract
Ämnesord
Stäng
- The development of multigene classifiers for cancer prognosis, treatment prediction, molecular subtypes or clinicopathological groups has been a cornerstone in transcriptomic analyses of human malignancies for nearly two decades. However, many reported classifiers are critically limited by different preprocessing needs like normalization and data centering. In response, a new breed of classifiers, single sample predictors (SSPs), has emerged. SSPs classify samples in an N-of-1 fashion, relying on, e.g. gene rules comparing expression values within a sample. To date, several methods have been reported, but there is a lack of head-to-head performance comparison for typical cancer classification problems, representing an unmet methodological need in cancer bioinformatics. To resolve this need, we performed an evaluation of two SSPs [k-top-scoring pair classifier (kTSP) and absolute intrinsic molecular subtyping (AIMS)] for two case examples of different magnitude of difficulty in non-small cell lung cancer: gene expression–based classification of (i) tumor histology and (ii) molecular subtype. Through the analysis of ~2000 lung cancer samples for each case example (n = 1918 and n = 2106, respectively), we compared the performance of the methods for different sample compositions, training data set sizes, gene expression platforms and gene rule selections. Three main conclusions are drawn from the comparisons: both methods are platform independent, they select largely overlapping gene rules associated with actual underlying tumor biology and, for large training data sets, they behave interchangeably performance-wise. While SSPs like AIMS and kTSP offer new possibilities to move gene expression signatures/predictors closer to a clinical context, they are still importantly limited by the difficultness of the classification problem at hand.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Cancer and Oncology (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Medicinska och farmaceutiska grundvetenskaper -- Cell- och molekylärbiologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Basic Medicine -- Cell and Molecular Biology (hsv//eng)
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