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Associations between triple-negative breast cancer gene copy number variation and clinicopathological characteristic on the prognosis of patients |
LI Yuxiang FENG Jinchun WU Tao Aziguli·Abudureheman YU Luyue ZHU Liping |
Department of Breast Surgery, Tumor Hospital Affiliated to Xinjiang Medical University, Xinjiang Uygur Autonomous Region, Urumqi 830000, China |
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Abstract Objective To understand the gene copy number variation (CNV) in triple-negative breast cancer tissues and adjacent tissues, and to explore the relationship between CNV and the clinicopathological characteristics and prognosis of patients with triple-negative breast cancer. Methods From January 2014 to January 2016, the cancer tissue and adjacent tissue or 86 patients with triple-negative breast cancer who underwent surgery in the Tumor Hospital Affiliated to Xinjiang Medical University were collected. The whole exome high-throughput parallel sequencing technology was used to detect the condition of CNV in the samples, while clinical pathological data were combined and follow-up was recorded for comprehensive analysis. Results As of January 2020, after five years of follow-up, the recurrence rate was 34.88%. The difference of CNV in cancer tissues in 86 pairs of samples was significantly higher than that in adjacent tissues, and the difference was highly statistically significant (P < 0.01). Chromosome 8 had the most frequent CNV amplification, and chromosome 17 had the most frequent CNV loss and heterozygous regions; the five-year survival rate of CNV patients on chromosomes 8 and 17 were lower than those of patients without CNV, and the differences were statistically significant (P < 0.05). Age, primary tumor size, lymph node metastasis and CNV status were linearly correlated (r = -0.87, 0.92, 0.94, P < 0.05); TNM staging was positively correlated with CNV status (r = 0.83, P < 0.05). Cox multivariate regression analysis showed that CNV status and TNM staging were independent factors affecting the prognosis of patients with triple-negative breast cancer (HR = 0.456, 1.927, P < 0.05). Conclusion The difference of CNV in cancer tissue and adjacent tissues of TNBC patients is related to age, primary tumor size, lymph node metastasis and TNM stage. In addition, CNV status and TNM staging affect the prognosis of patients.
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