Identification of Cancer-Associated Proteins in Colorectal Cancer Using Mass Spectrometry

Our findings suggest that proteome abundance trends may contribute to the identification of biomarker candidates and therapeutic targets in colorectal cancer. However, given the limited sample size and lack of subtype stratification, further studies using larger, statistically powered cohorts are warranted to establish clinical relevance. These proteins may provide insights into drug resistance and tumor heterogeneity. Limitations of the study include the inability to detect low-abundance proteins and reliance on protein abundance rather than functional activity. Future complementary approaches, such as affinity proteomics, are suggested to address these limitations.

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Publication Details

Journal
Proteomes
Published
2025-08-12
DOI
https://doi.org/10.3390/proteomes13030038
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Identification of Cancer-Associated Proteins in Colorectal Cancer Using Mass Spectrometry

Naoyuki Toyota, Shuhei Iwata, Yusuke Kawashima, Ryo Konno et al.
1 links
Proteomes
Advanced Proteomics Techniques and Applications
article

Identification of Cancer-Associated Proteins in Colorectal Cancer Using Mass Spectrometry

Naoyuki Toyota, Shuhei Iwata, Yusuke Kawashima, Ryo Konno, Rei Noguchi, Tadashi Kondo, Yuki Yoshimatsu, Shin Fujita, Yoshio Kodera
article en

Abstract

Our findings suggest that proteome abundance trends may contribute to the identification of biomarker candidates and therapeutic targets in colorectal cancer. However, given the limited sample size and lack of subtype stratification, further studies using larger, statistically powered cohorts are warranted to establish clinical relevance. These proteins may provide insights into drug resistance and tumor heterogeneity. Limitations of the study include the inability to detect low-abundance proteins and reliance on protein abundance rather than functional activity. Future complementary approaches, such as affinity proteomics, are suggested to address these limitations.

ProteomesVol. 13(3)
Tochigi Cancer Center (JP), Kazusa DNA Research Institute (JP), National Cancer Research Institute (GB), Kitasato University (JP)
Openalex Percentile: Top 82%
Advanced Proteomics Techniques and Applications
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Identification of Cancer-Associated Proteins in Colorectal Cancer Using Mass Spectrometry — Naoyuki Toyota, Shuhei Iwata, et al. · Proteomes (2025) | TGRS Research Map | TGRS