Tumor-educated platelet blood tests for Non-Small Cell Lung Cancer detection and management

Mafalda Antunes-Ferreira; Silvia D'Ambrosi; Mohammad Arkani; Edward Post; Sjors G. J. G. In 't Veld; Jip Ramaker; Kenn Zwaan; Ece Demirel Kucukguzel; Laurine E. Wedekind; Arjan W. Griffioen; Mirjam Oude Egbrink; Marijke J. E. Kuijpers; Daan van den Broek; David P. Noske; Koen J. Hartemink; Siamack Sabrkhany; Idris Bahce; Nik Sol; Harm-Jan Bogaard; Danijela Koppers-Lalic; Myron G. Best; Thomas Wurdinger

doi:10.1038/s41598-023-35818-w

Tumor-educated platelet blood tests for Non-Small Cell Lung Cancer detection and management

Mafalda Antunes-Ferreira
, Silvia D'Ambrosi
, Mohammad Arkani
, Edward Post
, Sjors G. J. G. In 't Veld
, Jip Ramaker
, Kenn Zwaan
, Ece Demirel Kucukguzel
, Laurine E. Wedekind
, Arjan W. Griffioen
, Mirjam Oude Egbrink
, Marijke J. E. Kuijpers
, Daan van den Broek
, David P. Noske
, Koen J. Hartemink
, Siamack Sabrkhany
, Idris Bahce
, Nik Sol
, Harm-Jan Bogaard
, Danijela Koppers-Lalic

Myron G. Best, Thomas Wurdinger^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

Liquid biopsy approaches offer a promising technology for early and minimally invasive cancer detection. Tumor-educated platelets (TEPs) have emerged as a promising liquid biopsy biosource for the detection of various cancer types. In this study, we processed and analyzed the TEPs collected from 466 Non-small Cell Lung Carcinoma (NSCLC) patients and 410 asymptomatic individuals (controls) using the previously established thromboSeq protocol. We developed a novel particle-swarm optimization machine learning algorithm which enabled the selection of an 881 RNA biomarker panel (AUC 0.88). Herein we propose and validate in an independent cohort of samples (n = 558) two approaches for blood samples testing: one with high sensitivity (95% NSCLC detected) and another with high specificity (94% controls detected). Our data explain how TEP-derived spliced RNAs may serve as a biomarker for minimally-invasive clinical blood tests, complement existing imaging tests, and assist the detection and management of lung cancer patients.

Original language	English
Article number	9359
Number of pages	12
Journal	Scientific Reports
Volume	13
Issue number	1
DOIs	https://doi.org/10.1038/s41598-023-35818-w
Publication status	Published - 8 Jun 2023

Keywords

LIQUID BIOPSY
GENE-EXPRESSION
RNA-SEQ
DIAGNOSIS
IDENTIFICATION
BIOMARKERS
VALIDATION
SEQUESTER

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Antunes-Ferreira, M., D'Ambrosi, S., Arkani, M., Post, E., In 't Veld, S. G. J. G., Ramaker, J., Zwaan, K., Kucukguzel, E. D., Wedekind, L. E., Griffioen, A. W., Egbrink, M. O., Kuijpers, M. J. E., van den Broek, D., Noske, D. P., Hartemink, K. J., Sabrkhany, S., Bahce, I., Sol, N., Bogaard, H.-J., ... Wurdinger, T. (2023). Tumor-educated platelet blood tests for Non-Small Cell Lung Cancer detection and management. Scientific Reports, 13(1), Article 9359. https://doi.org/10.1038/s41598-023-35818-w

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title = "Tumor-educated platelet blood tests for Non-Small Cell Lung Cancer detection and management",

abstract = "Liquid biopsy approaches offer a promising technology for early and minimally invasive cancer detection. Tumor-educated platelets (TEPs) have emerged as a promising liquid biopsy biosource for the detection of various cancer types. In this study, we processed and analyzed the TEPs collected from 466 Non-small Cell Lung Carcinoma (NSCLC) patients and 410 asymptomatic individuals (controls) using the previously established thromboSeq protocol. We developed a novel particle-swarm optimization machine learning algorithm which enabled the selection of an 881 RNA biomarker panel (AUC 0.88). Herein we propose and validate in an independent cohort of samples (n = 558) two approaches for blood samples testing: one with high sensitivity (95\% NSCLC detected) and another with high specificity (94\% controls detected). Our data explain how TEP-derived spliced RNAs may serve as a biomarker for minimally-invasive clinical blood tests, complement existing imaging tests, and assist the detection and management of lung cancer patients.",

keywords = "LIQUID BIOPSY, GENE-EXPRESSION, RNA-SEQ, DIAGNOSIS, IDENTIFICATION, BIOMARKERS, VALIDATION, SEQUESTER",

author = "Mafalda Antunes-Ferreira and Silvia D'Ambrosi and Mohammad Arkani and Edward Post and \{In 't Veld\}, \{Sjors G. J. G.\} and Jip Ramaker and Kenn Zwaan and Kucukguzel, \{Ece Demirel\} and Wedekind, \{Laurine E.\} and Griffioen, \{Arjan W.\} and Egbrink, \{Mirjam Oude\} and Kuijpers, \{Marijke J. E.\} and \{van den Broek\}, Daan and Noske, \{David P.\} and Hartemink, \{Koen J.\} and Siamack Sabrkhany and Idris Bahce and Nik Sol and Harm-Jan Bogaard and Danijela Koppers-Lalic and Best, \{Myron G.\} and Thomas Wurdinger",

year = "2023",

month = jun,

day = "8",

doi = "10.1038/s41598-023-35818-w",

language = "English",

volume = "13",

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Antunes-Ferreira, M, D'Ambrosi, S, Arkani, M, Post, E, In 't Veld, SGJG, Ramaker, J, Zwaan, K, Kucukguzel, ED, Wedekind, LE, Griffioen, AW, Egbrink, MO , Kuijpers, MJE, van den Broek, D, Noske, DP, Hartemink, KJ, Sabrkhany, S, Bahce, I, Sol, N, Bogaard, H-J, Koppers-Lalic, D, Best, MG & Wurdinger, T 2023, 'Tumor-educated platelet blood tests for Non-Small Cell Lung Cancer detection and management', Scientific Reports, vol. 13, no. 1, 9359. https://doi.org/10.1038/s41598-023-35818-w

TY - JOUR

T1 - Tumor-educated platelet blood tests for Non-Small Cell Lung Cancer detection and management

AU - Antunes-Ferreira, Mafalda

AU - D'Ambrosi, Silvia

AU - Arkani, Mohammad

AU - Post, Edward

AU - In 't Veld, Sjors G. J. G.

AU - Ramaker, Jip

AU - Zwaan, Kenn

AU - Kucukguzel, Ece Demirel

AU - Wedekind, Laurine E.

AU - Griffioen, Arjan W.

AU - Egbrink, Mirjam Oude

AU - Kuijpers, Marijke J. E.

AU - van den Broek, Daan

AU - Noske, David P.

AU - Hartemink, Koen J.

AU - Sabrkhany, Siamack

AU - Bahce, Idris

AU - Sol, Nik

AU - Bogaard, Harm-Jan

AU - Koppers-Lalic, Danijela

AU - Best, Myron G.

AU - Wurdinger, Thomas

PY - 2023/6/8

Y1 - 2023/6/8

N2 - Liquid biopsy approaches offer a promising technology for early and minimally invasive cancer detection. Tumor-educated platelets (TEPs) have emerged as a promising liquid biopsy biosource for the detection of various cancer types. In this study, we processed and analyzed the TEPs collected from 466 Non-small Cell Lung Carcinoma (NSCLC) patients and 410 asymptomatic individuals (controls) using the previously established thromboSeq protocol. We developed a novel particle-swarm optimization machine learning algorithm which enabled the selection of an 881 RNA biomarker panel (AUC 0.88). Herein we propose and validate in an independent cohort of samples (n = 558) two approaches for blood samples testing: one with high sensitivity (95% NSCLC detected) and another with high specificity (94% controls detected). Our data explain how TEP-derived spliced RNAs may serve as a biomarker for minimally-invasive clinical blood tests, complement existing imaging tests, and assist the detection and management of lung cancer patients.

AB - Liquid biopsy approaches offer a promising technology for early and minimally invasive cancer detection. Tumor-educated platelets (TEPs) have emerged as a promising liquid biopsy biosource for the detection of various cancer types. In this study, we processed and analyzed the TEPs collected from 466 Non-small Cell Lung Carcinoma (NSCLC) patients and 410 asymptomatic individuals (controls) using the previously established thromboSeq protocol. We developed a novel particle-swarm optimization machine learning algorithm which enabled the selection of an 881 RNA biomarker panel (AUC 0.88). Herein we propose and validate in an independent cohort of samples (n = 558) two approaches for blood samples testing: one with high sensitivity (95% NSCLC detected) and another with high specificity (94% controls detected). Our data explain how TEP-derived spliced RNAs may serve as a biomarker for minimally-invasive clinical blood tests, complement existing imaging tests, and assist the detection and management of lung cancer patients.

KW - LIQUID BIOPSY

KW - GENE-EXPRESSION

KW - RNA-SEQ

KW - DIAGNOSIS

KW - IDENTIFICATION

KW - BIOMARKERS

KW - VALIDATION

KW - SEQUESTER

U2 - 10.1038/s41598-023-35818-w

DO - 10.1038/s41598-023-35818-w

M3 - Article

C2 - 37291189

SN - 2045-2322

VL - 13

JO - Scientific Reports

JF - Scientific Reports

IS - 1

M1 - 9359

ER -

Tumor-educated platelet blood tests for Non-Small Cell Lung Cancer detection and management

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Keywords

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