Characterisation of colorectal cancer by hierarchical clustering analyses for five stroma-related markers
- Sunao Ito 1, Akira Koshino 2, Chengbo Wang 3, Takahiro Otani 4, Masayuki Komura 3, Akane Ueki 3, Shunsuke Kato 2, Hiroki Takahashi 1, Masahide Ebi 2, Naotaka Ogasawara 2, Toyonori Tsuzuki 5, Kenji Kasai 6, Kunio Kasugai 2, Shuji Takiguchi 1, Satoru Takahashi 3, Shingo Inaguma 3,6,7
- Sunao Ito 1, Akira Koshino 2, Chengbo Wang 3
- 1Department of Gastroenterological Surgery, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
- 2Division of Gastroenterology, Department of Internal Medicine, Aichi Medical University School of Medicine, Nagakute, Japan.
- 3Department of Experimental Pathology and Tumor Biology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
- 4Department of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
- 5Surgical Pathology, Aichi Medical University School of Medicine, Nagakute, Japan.
- 6Department of Pathology, Aichi Medical University School of Medicine, Nagakute, Japan.
- 7Department of Pathology, Nagoya City University East Medical Center, Nagoya, Japan.
- 0Department of Gastroenterological Surgery, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Related Experiment Videos
Contact us if these videos are not relevant.
Contact us if these videos are not relevant.
View abstract on PubMed
Summary
This summary is machine-generated.Colorectal cancer (CRC) stroma, particularly decorin (DCN) and podoplanin (PDPN) expression, impacts patient survival. Identifying DCN-high or PDPN-dominant tumors can predict CRC prognosis and guide potential therapies.
Area Of Science
- Oncology
- Cancer Biology
- Immunology
Background
- Tumor stroma plays a crucial role in supporting colorectal cancer (CRC) growth.
- Cancer-associated fibroblasts (CAFs) and extracellular matrix proteins like collagen are key stromal components.
- Understanding stromal characteristics is vital for predicting CRC progression and treatment response.
Purpose Of The Study
- To investigate the expression of CAF-related markers (decorin, fibroblast activation protein, podoplanin, alpha-smooth muscle actin) and collagen in CRC.
- To analyze the association between these stromal markers, clinicopathological features, and patient survival outcomes.
- To identify distinct patient subgroups based on stromal marker expression for prognostic stratification.
Main Methods
- Immunohistochemistry and Sirius red staining were employed to assess CAF and collagen characteristics.
- Expression levels of decorin (DCN), fibroblast activation protein (FAP), podoplanin (PDPN), and alpha-smooth muscle actin (ACTA2) were analyzed.
- Hierarchical clustering and Cox proportional hazards models were used to correlate stromal markers with patient survival and clinicopathological data.
Main Results
- High decorin (DCN) expression was significantly associated with a worse 5-year survival rate in CRC patients.
- Hierarchical clustering identified three distinct stromal groups (solid, PDPN-dominant, DCN-dominant) with varying survival outcomes.
- The PDPN-dominant group showed a favorable prognosis compared to the DCN-dominant group, which was linked to advanced pT stage and reduced immune cell infiltration (CD8+, FOXP3+).
Conclusions
- Immunohistochemistry and clustering analysis of five stromal factors can effectively prognosticate CRC patient outcomes.
- Decorin (DCN) and podoplanin (PDPN) expression patterns are significant indicators of CRC prognosis.
- Targeting cancer stroma represents a promising therapeutic strategy for colorectal cancer patients.
Related Experiment Videos
Contact us if these videos are not relevant.
Contact us if these videos are not relevant.

