Identification and analysis of microplastics in peritumoral and tumor tissues of colorectal cancer

The widespread occurrence of microplastics (MPs) in the environment has raised significant concerns regarding their potential health impacts, particularly in relation to carcinogenesis. This study aimed to identify and analyze microplastics present in peritumoral and tumor tissues of patients diagnosed with colorectal cancer (CRC). Utilizing advanced scanning electron microscopy (SEM) and laser direct infrared (LDIR) imaging systems, we systematically examined tissue samples to detect and characterize the microplastics. Our findings revealed a diverse array of microplastic types, notably polyvinyl chloride (PVC) and polyethylene (PE), within both peritumoral and tumor regions. Compared to adjacent non-cancerous tissues, tumor tissues exhibited a greater variety and distribution of microplastics. Furthermore, Clathrin-a key protein involved in endocytosis-was found to be highly expressed in colorectal cancer specimens, facilitating the substantial uptake of microplastics. These results suggest a potential association between exposure to microplastics and the pathogenesis of colorectal cancer. This study highlights the urgent need for increased awareness and regulatory measures aimed at mitigating microplastic pollution along with its associated health risks.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-05-08
DOI
https://doi.org/10.1038/s41598-025-98268-6
Citations
16
Primary Topic
Microplastics and Plastic Pollution
Type
article
Field-Weighted Citation Impact
8.06

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identification and analysis of microplastics in peritumoral and tumor tissues of colorectal cancer

Zhansheng Jiang, Jie Hao, Chong Chen, Hui Liu et al.
16 citations
Scientific Reports
Microplastics and Plastic Pollution
8.06
article

Identification and analysis of microplastics in peritumoral and tumor tissues of colorectal cancer

Zhansheng Jiang, Jie Hao, Chong Chen, Hui Liu, Haiyang Zhang, Fei Tian, Mingqing Zhang, Xipeng Zhang, Mingyong Gao, Wan Long Pan
article en
16 citations

Abstract

The widespread occurrence of microplastics (MPs) in the environment has raised significant concerns regarding their potential health impacts, particularly in relation to carcinogenesis. This study aimed to identify and analyze microplastics present in peritumoral and tumor tissues of patients diagnosed with colorectal cancer (CRC). Utilizing advanced scanning electron microscopy (SEM) and laser direct infrared (LDIR) imaging systems, we systematically examined tissue samples to detect and characterize the microplastics. Our findings revealed a diverse array of microplastic types, notably polyvinyl chloride (PVC) and polyethylene (PE), within both peritumoral and tumor regions. Compared to adjacent non-cancerous tissues, tumor tissues exhibited a greater variety and distribution of microplastics. Furthermore, Clathrin-a key protein involved in endocytosis-was found to be highly expressed in colorectal cancer specimens, facilitating the substantial uptake of microplastics. These results suggest a potential association between exposure to microplastics and the pathogenesis of colorectal cancer. This study highlights the urgent need for increased awareness and regulatory measures aimed at mitigating microplastic pollution along with its associated health risks.

Scientific ReportsVol. 15(1)
Tianjin Medical University Cancer Institute and Hospital (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 2%
Microplastics and Plastic Pollution
8.06
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.