Tumor specimen cold ischemia time impacts molecular cancer drug target discovery

Tumor tissue collections are used to uncover pathways associated with disease outcomes that can also serve as targets for cancer treatment, ideally by comparing the molecular properties of cancer tissues to matching normal tissues. The quality of such collections determines the value of the data and information generated from their analyses including expression and modifications of nucleic acids and proteins. These biomolecules are dysregulated upon ischemia and decompose once the living cells start to decay into inanimate matter. Therefore, ischemia time before final tissue preservation is the most important determinant of the quality of a tissue collection. Here we show the impact of ischemia time on tumor and matching adjacent normal tissue samples for mRNAs in 1664, proteins in 1818, and phosphosites in 1800 cases (tumor and matching normal samples) of four solid tumor types (CRC, HCC, LUAD, and LUSC NSCLC subtypes). In CRC, ischemia times exceeding 15 min impacted 12.5% (mRNA), 25% (protein), and 50% (phosphosites) of differentially expressed molecules in tumor versus normal tissues. This hypoxia- and decay-induced dysregulation increased with longer ischemia times and was observed across tumor types. Interestingly, the proteomics analysis revealed that specimen ischemia time above 15 min is mostly associated with a dysregulation of proteins in the immune-response pathway and less so with metabolic processes. We conclude that ischemia time is a crucial quality parameter for tissue collections used for target discovery and validation in cancer research.

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Publication Details

Journal
Cell Death and Disease
Published
2024-09-26
DOI
https://doi.org/10.1038/s41419-024-07090-x
Citations
9
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
2.10
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article

Tumor specimen cold ischemia time impacts molecular cancer drug target discovery

Yuichiro Tsukada, Nithya Raman, Nina Gabelia, Takayuki Yoshino et al.
9 citations
Cell Death and Disease
Metabolomics and Mass Spectrometry Studies
2.10
article

Tumor specimen cold ischemia time impacts molecular cancer drug target discovery

Yuichiro Tsukada, Nithya Raman, Nina Gabelia, Takayuki Yoshino, Gerry Melino, Silvia von der Heyde, Hartmut Juhl, John L. Marshall, Xavier Matías‐Guiu, Anton Wellstein, Jobst Landgrebe
article en
9 citations

Abstract

Tumor tissue collections are used to uncover pathways associated with disease outcomes that can also serve as targets for cancer treatment, ideally by comparing the molecular properties of cancer tissues to matching normal tissues. The quality of such collections determines the value of the data and information generated from their analyses including expression and modifications of nucleic acids and proteins. These biomolecules are dysregulated upon ischemia and decompose once the living cells start to decay into inanimate matter. Therefore, ischemia time before final tissue preservation is the most important determinant of the quality of a tissue collection. Here we show the impact of ischemia time on tumor and matching adjacent normal tissue samples for mRNAs in 1664, proteins in 1818, and phosphosites in 1800 cases (tumor and matching normal samples) of four solid tumor types (CRC, HCC, LUAD, and LUSC NSCLC subtypes). In CRC, ischemia times exceeding 15 min impacted 12.5% (mRNA), 25% (protein), and 50% (phosphosites) of differentially expressed molecules in tumor versus normal tissues. This hypoxia- and decay-induced dysregulation increased with longer ischemia times and was observed across tumor types. Interestingly, the proteomics analysis revealed that specimen ischemia time above 15 min is mostly associated with a dysregulation of proteins in the immune-response pathway and less so with metabolic processes. We conclude that ischemia time is a crucial quality parameter for tissue collections used for target discovery and validation in cancer research.

Cell Death and DiseaseVol. 15(9)
University of Rome Tor Vergata (IT), Georgetown University (US), Georgetown University Medical Center (US), Hospital Universitari Arnau de Vilanova (ES), National Cancer Center Hospital East (JP)
Good health and well-being
Openalex Percentile: Top 12%
Metabolomics and Mass Spectrometry Studies
2.10
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