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Swarm Intelligence-Enhanced Detection of Non-Small-Cell Lung Cancer Using Tumor-Educated Platelets. / Best, Myron G; Sol, Nik; In 't Veld, Sjors G J G et al.

In: Cancer cell, Vol. 32, No. 2, 14.08.2017, p. 238-252.e9.

Research output: Contribution to journalArticleAcademicpeer-review

Harvard

Best, MG, Sol, N, In 't Veld, SGJG, Vancura, A, Muller, M, Niemeijer, A-LN, Fejes, AV, Tjon Kon Fat, L-A, Huis In 't Veld, AE, Leurs, C, Le Large, TY, Meijer, LL, Kooi, IE, Rustenburg, F, Schellen, P, Verschueren, H, Post, E, Wedekind, LE, Bracht, J, Esenkbrink, M, Wils, L, Favaro, F, Schoonhoven, JD, Tannous, J, Meijers-Heijboer, H, Kazemier, G, Giovannetti, E, Reijneveld, JC, Idema, S, Killestein, J, Heger, M, de Jager, SC, Urbanus, RT, Hoefer, IE, Pasterkamp, G, Mannhalter, C, Gomez-Arroyo, J, Bogaard, H-J, Noske, DP, Vandertop, WP, van den Broek, D, Ylstra, B, Nilsson, RJA, Wesseling, P, Karachaliou, N, Rosell, R, Lee-Lewandrowski, E, Lewandrowski, KB, Tannous, BA, de Langen, AJ, Smit, EF, van den Heuvel, MM & Wurdinger, T 2017, 'Swarm Intelligence-Enhanced Detection of Non-Small-Cell Lung Cancer Using Tumor-Educated Platelets', Cancer cell, vol. 32, no. 2, pp. 238-252.e9. https://doi.org/10.1016/j.ccell.2017.07.004

APA

Best, M. G., Sol, N., In 't Veld, S. G. J. G., Vancura, A., Muller, M., Niemeijer, A-L. N., Fejes, A. V., Tjon Kon Fat, L-A., Huis In 't Veld, A. E., Leurs, C., Le Large, T. Y., Meijer, L. L., Kooi, I. E., Rustenburg, F., Schellen, P., Verschueren, H., Post, E., Wedekind, L. E., Bracht, J., ... Wurdinger, T. (2017). Swarm Intelligence-Enhanced Detection of Non-Small-Cell Lung Cancer Using Tumor-Educated Platelets. Cancer cell, 32(2), 238-252.e9. https://doi.org/10.1016/j.ccell.2017.07.004

Vancouver

Best MG, Sol N, In 't Veld SGJG, Vancura A, Muller M, Niemeijer A-LN et al. Swarm Intelligence-Enhanced Detection of Non-Small-Cell Lung Cancer Using Tumor-Educated Platelets. Cancer cell. 2017 Aug 14;32(2):238-252.e9. https://doi.org/10.1016/j.ccell.2017.07.004

Author

Best, Myron G ; Sol, Nik ; In 't Veld, Sjors G J G et al. / Swarm Intelligence-Enhanced Detection of Non-Small-Cell Lung Cancer Using Tumor-Educated Platelets. In: Cancer cell. 2017 ; Vol. 32, No. 2. pp. 238-252.e9.

BibTeX

@article{75074f1d609e433aa208eefb868158f8,
title = "Swarm Intelligence-Enhanced Detection of Non-Small-Cell Lung Cancer Using Tumor-Educated Platelets",
abstract = "Blood-based liquid biopsies, including tumor-educated blood platelets (TEPs), have emerged as promising biomarker sources for non-invasive detection of cancer. Here we demonstrate that particle-swarm optimization (PSO)-enhanced algorithms enable efficient selection of RNA biomarker panels from platelet RNA-sequencing libraries (n = 779). This resulted in accurate TEP-based detection of early- and late-stage non-small-cell lung cancer (n = 518 late-stage validation cohort, accuracy, 88%; AUC, 0.94; 95% CI, 0.92-0.96; p < 0.001; n = 106 early-stage validation cohort, accuracy, 81%; AUC, 0.89; 95% CI, 0.83-0.95; p < 0.001), independent of age of the individuals, smoking habits, whole-blood storage time, and various inflammatory conditions. PSO enabled selection of gene panels to diagnose cancer from TEPs, suggesting that swarm intelligence may also benefit the optimization of diagnostics readout of other liquid biopsy biosources.",
keywords = "Adult, Aged, Aged, 80 and over, Algorithms, Artificial Intelligence, Biomarkers, Tumor, Blood Platelets/physiology, Carcinoma, Non-Small-Cell Lung/blood, Cohort Studies, Diagnosis, Computer-Assisted/methods, Female, Gene Expression Profiling, High-Throughput Nucleotide Sequencing, Humans, Inflammation/blood, Lung Neoplasms/blood, Male, Middle Aged, Support Vector Machine",
author = "Best, {Myron G} and Nik Sol and {In 't Veld}, {Sjors G J G} and Adrienne Vancura and Mirte Muller and Niemeijer, {Anna-Larissa N} and Fejes, {Aniko V} and {Tjon Kon Fat}, Lee-Ann and {Huis In 't Veld}, {Anna E} and Cyra Leurs and {Le Large}, {Tessa Y} and Meijer, {Laura L} and Kooi, {Irsan E} and Fran{\c c}ois Rustenburg and Pepijn Schellen and Heleen Verschueren and Edward Post and Wedekind, {Laurine E} and Jillian Bracht and Michelle Esenkbrink and Leon Wils and Francesca Favaro and Schoonhoven, {Jilian D} and Jihane Tannous and Hanne Meijers-Heijboer and Geert Kazemier and Elisa Giovannetti and Reijneveld, {Jaap C} and Sander Idema and Joep Killestein and Michal Heger and {de Jager}, {Saskia C} and Urbanus, {Rolf T} and Hoefer, {Imo E} and Gerard Pasterkamp and Christine Mannhalter and Jose Gomez-Arroyo and Harm-Jan Bogaard and Noske, {David P} and Vandertop, {W Peter} and {van den Broek}, Daan and Bauke Ylstra and Nilsson, {R Jonas A} and Pieter Wesseling and Niki Karachaliou and Rafael Rosell and Elizabeth Lee-Lewandrowski and Lewandrowski, {Kent B} and Tannous, {Bakhos A} and {de Langen}, {Adrianus J} and Smit, {Egbert F} and {van den Heuvel}, {Michel M} and Thomas Wurdinger",
note = "Copyright {\textcopyright} 2017 The Authors. Published by Elsevier Inc. All rights reserved.",
year = "2017",
month = aug,
day = "14",
doi = "10.1016/j.ccell.2017.07.004",
language = "English",
volume = "32",
pages = "238--252.e9",
journal = "Cancer cell",
issn = "1535-6108",
publisher = "Cell Press",
number = "2",

}

RIS

TY - JOUR

T1 - Swarm Intelligence-Enhanced Detection of Non-Small-Cell Lung Cancer Using Tumor-Educated Platelets

AU - Best, Myron G

AU - Sol, Nik

AU - In 't Veld, Sjors G J G

AU - Vancura, Adrienne

AU - Muller, Mirte

AU - Niemeijer, Anna-Larissa N

AU - Fejes, Aniko V

AU - Tjon Kon Fat, Lee-Ann

AU - Huis In 't Veld, Anna E

AU - Leurs, Cyra

AU - Le Large, Tessa Y

AU - Meijer, Laura L

AU - Kooi, Irsan E

AU - Rustenburg, François

AU - Schellen, Pepijn

AU - Verschueren, Heleen

AU - Post, Edward

AU - Wedekind, Laurine E

AU - Bracht, Jillian

AU - Esenkbrink, Michelle

AU - Wils, Leon

AU - Favaro, Francesca

AU - Schoonhoven, Jilian D

AU - Tannous, Jihane

AU - Meijers-Heijboer, Hanne

AU - Kazemier, Geert

AU - Giovannetti, Elisa

AU - Reijneveld, Jaap C

AU - Idema, Sander

AU - Killestein, Joep

AU - Heger, Michal

AU - de Jager, Saskia C

AU - Urbanus, Rolf T

AU - Hoefer, Imo E

AU - Pasterkamp, Gerard

AU - Mannhalter, Christine

AU - Gomez-Arroyo, Jose

AU - Bogaard, Harm-Jan

AU - Noske, David P

AU - Vandertop, W Peter

AU - van den Broek, Daan

AU - Ylstra, Bauke

AU - Nilsson, R Jonas A

AU - Wesseling, Pieter

AU - Karachaliou, Niki

AU - Rosell, Rafael

AU - Lee-Lewandrowski, Elizabeth

AU - Lewandrowski, Kent B

AU - Tannous, Bakhos A

AU - de Langen, Adrianus J

AU - Smit, Egbert F

AU - van den Heuvel, Michel M

AU - Wurdinger, Thomas

N1 - Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.

PY - 2017/8/14

Y1 - 2017/8/14

N2 - Blood-based liquid biopsies, including tumor-educated blood platelets (TEPs), have emerged as promising biomarker sources for non-invasive detection of cancer. Here we demonstrate that particle-swarm optimization (PSO)-enhanced algorithms enable efficient selection of RNA biomarker panels from platelet RNA-sequencing libraries (n = 779). This resulted in accurate TEP-based detection of early- and late-stage non-small-cell lung cancer (n = 518 late-stage validation cohort, accuracy, 88%; AUC, 0.94; 95% CI, 0.92-0.96; p < 0.001; n = 106 early-stage validation cohort, accuracy, 81%; AUC, 0.89; 95% CI, 0.83-0.95; p < 0.001), independent of age of the individuals, smoking habits, whole-blood storage time, and various inflammatory conditions. PSO enabled selection of gene panels to diagnose cancer from TEPs, suggesting that swarm intelligence may also benefit the optimization of diagnostics readout of other liquid biopsy biosources.

AB - Blood-based liquid biopsies, including tumor-educated blood platelets (TEPs), have emerged as promising biomarker sources for non-invasive detection of cancer. Here we demonstrate that particle-swarm optimization (PSO)-enhanced algorithms enable efficient selection of RNA biomarker panels from platelet RNA-sequencing libraries (n = 779). This resulted in accurate TEP-based detection of early- and late-stage non-small-cell lung cancer (n = 518 late-stage validation cohort, accuracy, 88%; AUC, 0.94; 95% CI, 0.92-0.96; p < 0.001; n = 106 early-stage validation cohort, accuracy, 81%; AUC, 0.89; 95% CI, 0.83-0.95; p < 0.001), independent of age of the individuals, smoking habits, whole-blood storage time, and various inflammatory conditions. PSO enabled selection of gene panels to diagnose cancer from TEPs, suggesting that swarm intelligence may also benefit the optimization of diagnostics readout of other liquid biopsy biosources.

KW - Adult

KW - Aged

KW - Aged, 80 and over

KW - Algorithms

KW - Artificial Intelligence

KW - Biomarkers, Tumor

KW - Blood Platelets/physiology

KW - Carcinoma, Non-Small-Cell Lung/blood

KW - Cohort Studies

KW - Diagnosis, Computer-Assisted/methods

KW - Female

KW - Gene Expression Profiling

KW - High-Throughput Nucleotide Sequencing

KW - Humans

KW - Inflammation/blood

KW - Lung Neoplasms/blood

KW - Male

KW - Middle Aged

KW - Support Vector Machine

U2 - 10.1016/j.ccell.2017.07.004

DO - 10.1016/j.ccell.2017.07.004

M3 - Article

C2 - 28810146

VL - 32

SP - 238-252.e9

JO - Cancer cell

JF - Cancer cell

SN - 1535-6108

IS - 2

ER -

ID: 3996305