Poly-G for tumor matched samples chronicles the evolution of human colorectal cancer.
10.3760/cma.j.cn112152-20210728-00549
- Author:
Xin GAO
1
;
Tao YU
2
;
Qi ZHANG
1
;
Shuai Yao ZHANG
1
;
Di HUANG
1
;
Xin Yu ZHAO
1
;
Gang LIU
1
Author Information
1. Department of General Surgery, Tianjin Medical University General Hospital, Tianjin 300052, China.
2. Department of Oncology, Tianjin Medical University General Hospital, Tianjin 300052, China.
- Publication Type:Journal Article
- Keywords:
Colorectal neoplasms;
Intra-tumor heterogeneity;
Mutation;
Phylogenetic tree;
Poly-guanine
- MeSH:
Humans;
Lymphatic Metastasis;
Retrospective Studies;
Poly G;
Phylogeny;
Mutation;
Colorectal Neoplasms/pathology*;
Biomarkers, Tumor/genetics*
- From:
Chinese Journal of Oncology
2023;45(5):382-388
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To analyze poly-guanine (poly-G) genotypes and construct the phylogenetic tree of colorectal cancer (CRC) and provide an efficient and convenient method for the study of intra-tumor heterogeneity and tumor metastasis pathway. Methods: The clinicopathological information of patients with primary colorectal cancer resection with regional lymph node metastases were retrospectively collected in the Department of General Surgery, General Hospital of Tianjin Medical University from January 2017 to December 2017. The paraffin sections of the paired tumor samples were performed consecutively, and multi-region microdissection was performed after histogene staining. The phenol-chloroform extraction and ethanol precipitation scheme was used to obtain DNA, and Poly-G multiplex PCR amplification and capillary electrophoresis detection were performed. The correlation between Poly-G mutation frequency and clinicopathological parameters was analyzed. Based on the difference of Poly-G genotypes between paired samples, the distance matrix was calculated, and the phylogenetic tree was constructed to clarify the tumor metastasis pathway. Results: A total of 237 paired samples were collected from 20 patients including 134 primary lesions, 66 lymph node metastases, 37 normal tissues, and Poly-G mutation was detected in 20 patients (100%). The mutation frequency of Poly-G in low and undifferentiated patients was (74.10±23.11)%, higher than that in high and medium differentiated patients [(31.36±12.04)%, P<0.001]. In microsatellite instability patients, the mutation frequency of Poly-G was (68.19±24.80)%, which was higher than that in microsatellite stable patients [(32.40±14.90)%, P=0.003]. The Poly-G mutation frequency was not correlated with age, gender, and pathological staging (all P>0.05). Based on Poly-G genotype difference of the paired samples, the phylogenetic trees of 20 patients were constructed, showing the evolution process of the tumor, especially the subclonal origins of lymph node metastasis. Conclusion: Poly-G mutations accumulate in the occurrence and development of CRC, and can be used as genetic markers to generate reliable maps of intratumor heterogeneity in large numbers of patients with minimal time and cost expenditure.
