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

Myron G. Best, Nik Sol, Sjors G.J.G. In ‘t Veld, Adrienne Vancura, Mirte Muller, Anna Larissa N. Niemeijer, Aniko V. Fejes, Lee Ann Tjon Kon Fat, Anna E. Huis In ‘t Veld, Cyra Leurs, Tessa Y. Le Large, Laura L. Meijer, Irsan E. Kooi, François Rustenburg, Pepijn Schellen, Heleen Verschueren, Edward Post, Laurine E. Wedekind, Jillian Bracht, Michelle Esenkbrink & 33 others Leon Wils, Francesca Favaro, Jilian D. Schoonhoven, Jihane Tannous, Hanne Meijers-Heijboer, Geert Kazemier, Elisa Giovannetti, Jaap C. Reijneveld, Sander Idema, Joep Killestein, Michal Heger, Saskia C. de Jager, Rolf T. Urbanus, Imo E. Hoefer, Gerard Pasterkamp, Christine Mannhalter, Jose Gomez-Arroyo, Harm Jan Bogaard, David P. Noske, W. Peter Vandertop, Daan van den Broek, Bauke Ylstra, R. Jonas A. Nilsson, Pieter Wesseling, Niki Karachaliou, Rafael Rosell, Elizabeth Lee-Lewandrowski, Kent B. Lewandrowski, Bakhos A. Tannous, Adrianus J. de Langen, Egbert F. Smit, Michel M. van den Heuvel, Thomas Wurdinger

Research output: Contribution to journalArticleAcademicpeer-review

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.

Original languageEnglish
Pages (from-to)238-252.e9
JournalCancer Cell
Volume32
Issue number2
DOIs
Publication statusPublished - 14 Aug 2017

Cite this

Best, Myron G. ; Sol, Nik ; In ‘t Veld, Sjors G.J.G. ; Vancura, Adrienne ; Muller, Mirte ; Niemeijer, Anna Larissa N. ; Fejes, Aniko V. ; Tjon Kon Fat, Lee Ann ; Huis In ‘t Veld, Anna E. ; Leurs, Cyra ; Le Large, Tessa Y. ; Meijer, Laura L. ; Kooi, Irsan E. ; Rustenburg, François ; Schellen, Pepijn ; Verschueren, Heleen ; Post, Edward ; Wedekind, Laurine E. ; Bracht, Jillian ; Esenkbrink, Michelle ; Wils, Leon ; Favaro, Francesca ; Schoonhoven, Jilian D. ; Tannous, Jihane ; Meijers-Heijboer, Hanne ; Kazemier, Geert ; Giovannetti, Elisa ; Reijneveld, Jaap C. ; Idema, Sander ; Killestein, Joep ; Heger, Michal ; de Jager, Saskia C. ; Urbanus, Rolf T. ; Hoefer, Imo E. ; Pasterkamp, Gerard ; Mannhalter, Christine ; Gomez-Arroyo, Jose ; Bogaard, Harm Jan ; Noske, David P. ; Vandertop, W. Peter ; van den Broek, Daan ; Ylstra, Bauke ; Nilsson, R. Jonas A. ; Wesseling, Pieter ; Karachaliou, Niki ; Rosell, Rafael ; Lee-Lewandrowski, Elizabeth ; Lewandrowski, Kent B. ; Tannous, Bakhos A. ; de Langen, Adrianus J. ; Smit, Egbert F. ; van den Heuvel, Michel M. ; Wurdinger, Thomas. / 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.
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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 = "blood platelets, cancer diagnostics, liquid biopsies, NSCLC, particle-swarm optimization, RNA, self-learning algorithms, splicing, swarm intelligence, tumor-educated platelets",
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{\cc}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 Bogaard, {Harm Jan} 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",
year = "2017",
month = "8",
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",
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Best, MG, Sol, N, In ‘t Veld, SGJG, Vancura, A, Muller, M, Niemeijer, ALN, Fejes, AV, Tjon Kon Fat, LA, 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, HJ, 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

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.; Vancura, Adrienne; Muller, Mirte; Niemeijer, Anna Larissa N.; Fejes, Aniko V.; Tjon Kon Fat, Lee Ann; Huis In ‘t Veld, Anna E.; Leurs, Cyra; Le Large, Tessa Y.; Meijer, Laura L.; Kooi, Irsan E.; Rustenburg, François; Schellen, Pepijn; Verschueren, Heleen; Post, Edward; Wedekind, Laurine E.; Bracht, Jillian; Esenkbrink, Michelle; Wils, Leon; Favaro, Francesca; Schoonhoven, Jilian D.; Tannous, Jihane; Meijers-Heijboer, Hanne; Kazemier, Geert; Giovannetti, Elisa; Reijneveld, Jaap C.; Idema, Sander; Killestein, Joep; Heger, Michal; de Jager, Saskia C.; Urbanus, Rolf T.; Hoefer, Imo E.; Pasterkamp, Gerard; Mannhalter, Christine; Gomez-Arroyo, Jose; Bogaard, Harm Jan; Noske, David P.; Vandertop, W. Peter; van den Broek, Daan; Ylstra, Bauke; Nilsson, R. Jonas A.; Wesseling, Pieter; Karachaliou, Niki; Rosell, Rafael; Lee-Lewandrowski, Elizabeth; Lewandrowski, Kent B.; Tannous, Bakhos A.; de Langen, Adrianus J.; Smit, Egbert F.; van den Heuvel, Michel M.; Wurdinger, Thomas.

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

Research output: Contribution to journalArticleAcademicpeer-review

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

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 - blood platelets

KW - cancer diagnostics

KW - liquid biopsies

KW - NSCLC

KW - particle-swarm optimization

KW - RNA

KW - self-learning algorithms

KW - splicing

KW - swarm intelligence

KW - tumor-educated platelets

UR - http://www.scopus.com/inward/record.url?scp=85027221443&partnerID=8YFLogxK

U2 - 10.1016/j.ccell.2017.07.004

DO - 10.1016/j.ccell.2017.07.004

M3 - Article

VL - 32

SP - 238-252.e9

JO - Cancer Cell

JF - Cancer Cell

SN - 1535-6108

IS - 2

ER -