Circulating Tumor Cell Kinetics and Morphology from the Liquid Biopsy Predict Disease Progression in Patients with Metastatic Colorectal Cancer Following Resection

Drahomir Kolenčík; Narayan Sachin; Jana-Aletta Thiele; Dillon McKinley; Anna Sandström Gerdtsson; Lisa Welter; Petr Hošek; Pavel Ostašov; Ondrej Vyčítal; Jan Brůha; Ondrej Fiala; Ondrej Šorejs; Vaclav Liska; Pavel Pitule; Peter Kuhn; Stephanie Shishido

doi:10.3390/cancers14030642

Circulating Tumor Cell Kinetics and Morphology from the Liquid Biopsy Predict Disease Progression in Patients with Metastatic Colorectal Cancer Following Resection

Drahomir Kolenčík, Narayan Sachin, Jana-Aletta Thiele, Dillon McKinley, Anna Sandström Gerdtsson, Lisa Welter, Petr Hošek, Pavel Ostašov, Ondrej Vyčítal, Jan Brůha, Ondrej Fiala, Ondrej Šorejs, Vaclav Liska, Pavel Pitule, Peter Kuhn, Stephanie Shishido

LUCC: Lund University Cancer Centre

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

Abstract

The liquid biopsy has the potential to improve current clinical practice in oncology by
providing real-time personalized information about a patient’s disease status and response to treatment. In this study, we evaluated 161 peripheral blood (PB) samples that were collected around
surgical resection from 47 metastatic colorectal cancer (mCRC) patients using the High-Definition
Single Cell Assay (HDSCA) workflow. In conjunction with the standard circulating tumor cell (CTC)
enumeration, cellular morphology and kinetics between time-points of collection were considered in
the survival analysis. CTCs, CTC-Apoptotic, and CTC clusters were found to indicate poor survival
with an increase in cell count from pre-resection to post-resection. This study demonstrates that
CTC subcategorization based on morphological differences leads to nuanced results between the
subtypes, emphasizing the heterogeneity within the CTC classification. Furthermore, we show that
factoring in the time-point of each blood collection is critical, both for its static enumeration and for
the change in cell populations between draws. By integrating morphology and time-based analysis
alongside standard CTC enumeration, liquid biopsy platforms can provide greater insight into the
pathophysiology of mCRC by highlighting the complexity of the disease across a patient’s treatment.

Original language	English
Journal	Cancers
Volume	14
Issue number	3
DOIs	https://doi.org/10.3390/cancers14030642
Publication status	Published - 2022 Jan 27

Subject classification (UKÄ)

Cancer and Oncology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3390/cancers14030642Licence: CC BY

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Kolenčík, D., Sachin, N., Thiele, J.-A., McKinley, D., Sandström Gerdtsson, A., Welter, L., Hošek, P., Ostašov, P., Vyčítal, O., Brůha, J., Fiala, O., Šorejs, O., Liska, V., Pitule, P., Kuhn, P., & Shishido, S. (2022). Circulating Tumor Cell Kinetics and Morphology from the Liquid Biopsy Predict Disease Progression in Patients with Metastatic Colorectal Cancer Following Resection. Cancers, 14(3). https://doi.org/10.3390/cancers14030642

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title = "Circulating Tumor Cell Kinetics and Morphology from the Liquid Biopsy Predict Disease Progression in Patients with Metastatic Colorectal Cancer Following Resection",

abstract = "The liquid biopsy has the potential to improve current clinical practice in oncology byproviding real-time personalized information about a patient{\textquoteright}s disease status and response to treatment. In this study, we evaluated 161 peripheral blood (PB) samples that were collected aroundsurgical resection from 47 metastatic colorectal cancer (mCRC) patients using the High-DefinitionSingle Cell Assay (HDSCA) workflow. In conjunction with the standard circulating tumor cell (CTC)enumeration, cellular morphology and kinetics between time-points of collection were considered inthe survival analysis. CTCs, CTC-Apoptotic, and CTC clusters were found to indicate poor survivalwith an increase in cell count from pre-resection to post-resection. This study demonstrates thatCTC subcategorization based on morphological differences leads to nuanced results between thesubtypes, emphasizing the heterogeneity within the CTC classification. Furthermore, we show thatfactoring in the time-point of each blood collection is critical, both for its static enumeration and forthe change in cell populations between draws. By integrating morphology and time-based analysisalongside standard CTC enumeration, liquid biopsy platforms can provide greater insight into thepathophysiology of mCRC by highlighting the complexity of the disease across a patient{\textquoteright}s treatment.",

author = "Drahomir Kolen{\v c}{\'i}k and Narayan Sachin and Jana-Aletta Thiele and Dillon McKinley and {Sandstr{\"o}m Gerdtsson}, Anna and Lisa Welter and Petr Ho{\v s}ek and Pavel Osta{\v s}ov and Ondrej Vy{\v c}{\'i}tal and Jan Brůha and Ondrej Fiala and Ondrej {\v S}orejs and Vaclav Liska and Pavel Pitule and Peter Kuhn and Stephanie Shishido",

year = "2022",

month = jan,

day = "27",

doi = "10.3390/cancers14030642",

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Kolenčík, D, Sachin, N, Thiele, J-A, McKinley, D, Sandström Gerdtsson, A, Welter, L, Hošek, P, Ostašov, P, Vyčítal, O, Brůha, J, Fiala, O, Šorejs, O, Liska, V, Pitule, P, Kuhn, P & Shishido, S 2022, 'Circulating Tumor Cell Kinetics and Morphology from the Liquid Biopsy Predict Disease Progression in Patients with Metastatic Colorectal Cancer Following Resection', Cancers, vol. 14, no. 3. https://doi.org/10.3390/cancers14030642

TY - JOUR

T1 - Circulating Tumor Cell Kinetics and Morphology from the Liquid Biopsy Predict Disease Progression in Patients with Metastatic Colorectal Cancer Following Resection

AU - Kolenčík, Drahomir

AU - Sachin, Narayan

AU - Thiele, Jana-Aletta

AU - McKinley, Dillon

AU - Sandström Gerdtsson, Anna

AU - Welter, Lisa

AU - Hošek, Petr

AU - Ostašov, Pavel

AU - Vyčítal, Ondrej

AU - Brůha, Jan

AU - Fiala, Ondrej

AU - Šorejs, Ondrej

AU - Liska, Vaclav

AU - Pitule, Pavel

AU - Kuhn, Peter

AU - Shishido, Stephanie

PY - 2022/1/27

Y1 - 2022/1/27

N2 - The liquid biopsy has the potential to improve current clinical practice in oncology byproviding real-time personalized information about a patient’s disease status and response to treatment. In this study, we evaluated 161 peripheral blood (PB) samples that were collected aroundsurgical resection from 47 metastatic colorectal cancer (mCRC) patients using the High-DefinitionSingle Cell Assay (HDSCA) workflow. In conjunction with the standard circulating tumor cell (CTC)enumeration, cellular morphology and kinetics between time-points of collection were considered inthe survival analysis. CTCs, CTC-Apoptotic, and CTC clusters were found to indicate poor survivalwith an increase in cell count from pre-resection to post-resection. This study demonstrates thatCTC subcategorization based on morphological differences leads to nuanced results between thesubtypes, emphasizing the heterogeneity within the CTC classification. Furthermore, we show thatfactoring in the time-point of each blood collection is critical, both for its static enumeration and forthe change in cell populations between draws. By integrating morphology and time-based analysisalongside standard CTC enumeration, liquid biopsy platforms can provide greater insight into thepathophysiology of mCRC by highlighting the complexity of the disease across a patient’s treatment.

AB - The liquid biopsy has the potential to improve current clinical practice in oncology byproviding real-time personalized information about a patient’s disease status and response to treatment. In this study, we evaluated 161 peripheral blood (PB) samples that were collected aroundsurgical resection from 47 metastatic colorectal cancer (mCRC) patients using the High-DefinitionSingle Cell Assay (HDSCA) workflow. In conjunction with the standard circulating tumor cell (CTC)enumeration, cellular morphology and kinetics between time-points of collection were considered inthe survival analysis. CTCs, CTC-Apoptotic, and CTC clusters were found to indicate poor survivalwith an increase in cell count from pre-resection to post-resection. This study demonstrates thatCTC subcategorization based on morphological differences leads to nuanced results between thesubtypes, emphasizing the heterogeneity within the CTC classification. Furthermore, we show thatfactoring in the time-point of each blood collection is critical, both for its static enumeration and forthe change in cell populations between draws. By integrating morphology and time-based analysisalongside standard CTC enumeration, liquid biopsy platforms can provide greater insight into thepathophysiology of mCRC by highlighting the complexity of the disease across a patient’s treatment.

U2 - 10.3390/cancers14030642

DO - 10.3390/cancers14030642

M3 - Article

C2 - 35158910

SN - 2072-6694

VL - 14

JO - Cancers

JF - Cancers

IS - 3

ER -

Circulating Tumor Cell Kinetics and Morphology from the Liquid Biopsy Predict Disease Progression in Patients with Metastatic Colorectal Cancer Following Resection

Abstract

Subject classification (UKÄ)

UN SDGs

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