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Reaching the limits...
Reaching the limits of prognostication in non-small cell lung cancer : an optimized biomarker panel fails to outperform clinical parameters.
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- Grinberg, Marianna (author)
- Technical University of Dortmund
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- Djureinovic, Dijana (author)
- Uppsala University,Uppsala universitet,Klinisk och experimentell patologi,Fredrik Pontén
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- Brunnström, Hans RR (author)
- Lund University,Lunds universitet,Tumörmikromiljö,Sektion I,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Tumor microenvironment,Section I,Department of Clinical Sciences, Lund,Faculty of Medicine
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- Mattsson, Johanna Sofia Margareta, 1985- (author)
- Uppsala universitet,Klinisk och experimentell patologi,Patrick Micke
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- Edlund, Karolina (author)
- Technical University of Dortmund
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- Hengstler, Jan G (author)
- Technical University of Dortmund
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- La Fleur, Linnea (author)
- Uppsala University,Uppsala universitet,Klinisk och experimentell patologi,Science for Life Laboratory, SciLifeLab,Johan Botling
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- Ekman, Simon (author)
- Uppsala University,Karolinska Institutet,Uppsala universitet,Experimentell och klinisk onkologi
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- Koyi, Hirsh (author)
- Uppsala University,Karolinska Institutet,Uppsala universitet,Centrum för klinisk forskning, Gävleborg
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- Branden, Eva (author)
- Uppsala University,Uppsala universitet,Centrum för klinisk forskning, Gävleborg
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- Ståhle, Elisabeth (author)
- Uppsala University,Uppsala universitet,Thoraxkirurgi,Uppsala kliniska forskningscentrum (UCR)
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- Jirström, Karin (author)
- Lund University,Lunds universitet,Tumörmikromiljö,Sektion I,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Personlig patologi och cancerbehandling,Forskargrupper vid Lunds universitet,Tumor microenvironment,Section I,Department of Clinical Sciences, Lund,Faculty of Medicine,Personalized Pathology & Cancer Therapy,Lund University Research Groups
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Tracy, Derek K (author)
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- Ponten, Fredrik (author)
- Uppsala universitet,Klinisk och experimentell patologi,Fredrik Pontén
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- Botling, Johan (author)
- Uppsala universitet,Klinisk och experimentell patologi,Johan Botling
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Rahnenführer, Jörg (author)
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- Micke, Patrick (author)
- Uppsala University,Uppsala universitet,Klinisk och experimentell patologi,Patrick Micke
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- Mattsson, Johanna Sm (author)
- Uppsala University
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(creator_code:org_t)
- Elsevier BV, 2017
- 2017
- English.
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In: Modern Pathology. - : Elsevier BV. - 0893-3952 .- 1530-0285. ; 30:7, s. 964-977
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http://dx.doi.org/10...
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Abstract
Subject headings
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- Numerous protein biomarkers have been analyzed to improve prognostication in non-small cell lung cancer, but have not yet demonstrated sufficient value to be introduced into clinical practice. Here, we aimed to develop and validate a prognostic model for surgically resected non-small cell lung cancer. A biomarker panel was selected based on (1) prognostic association in published literature, (2) prognostic association in gene expression data sets, (3) availability of reliable antibodies, and (4) representation of diverse biological processes. The five selected proteins (MKI67, EZH2, SLC2A1, CADM1, and NKX2-1 alias TTF1) were analyzed by immunohistochemistry on tissue microarrays including tissue from 326 non-small cell lung cancer patients. One score was obtained for each tumor and each protein. The scores were combined, with or without the inclusion of clinical parameters, and the best prognostic model was defined according to the corresponding concordance index (C-index). The best-performing model was subsequently validated in an independent cohort consisting of tissue from 345 non-small cell lung cancer patients. The model based only on protein expression did not perform better compared to clinicopathological parameters, whereas combining protein expression with clinicopathological data resulted in a slightly better prognostic performance (C-index: all non-small cell lung cancer 0.63 vs 0.64; adenocarcinoma: 0.66 vs 0.70, squamous cell carcinoma: 0.57 vs 0.56). However, this modest effect did not translate into a significantly improved accuracy of survival prediction. The combination of a prognostic biomarker panel with clinicopathological parameters did not improve survival prediction in non-small cell lung cancer, questioning the potential of immunohistochemistry-based assessment of protein biomarkers for prognostication in clinical practice.Modern Pathology advance online publication, 10 March 2017; doi:10.1038/modpathol.2017.14.
Subject headings
- 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 -- Medicinsk genetik (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Basic Medicine -- Medical Genetics (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Klinisk laboratoriemedicin (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Clinical Laboratory Medicine (hsv//eng)
Keyword
- Pathology
- Patologi
Publication and Content Type
- ref (subject category)
- art (subject category)
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- By the author/editor
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Grinberg, Marian ...
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Djureinovic, Dij ...
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Brunnström, Hans ...
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Mattsson, Johann ...
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Edlund, Karolina
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Hengstler, Jan G
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La Fleur, Linnea
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Ekman, Simon
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Koyi, Hirsh
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Branden, Eva
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Ståhle, Elisabet ...
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Jirström, Karin
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Tracy, Derek K
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Ponten, Fredrik
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Botling, Johan
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Rahnenführer, Jö ...
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Micke, Patrick
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Mattsson, Johann ...
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- About the subject
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- MEDICAL AND HEALTH SCIENCES
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MEDICAL AND HEAL ...
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and Clinical Medicin ...
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and Cancer and Oncol ...
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- MEDICAL AND HEALTH SCIENCES
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MEDICAL AND HEAL ...
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and Basic Medicine
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and Medical Genetics
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- MEDICAL AND HEALTH SCIENCES
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MEDICAL AND HEAL ...
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and Clinical Medicin ...
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and Clinical Laborat ...
- Articles in the publication
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Modern Pathology
- By the university
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Uppsala University
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Karolinska Institutet
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Lund University