Sheng Yufan, Niu Sen, Li Da, Meng Chunyuan, Wang Tong
Department of General Surgery, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, China.
Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Front Mol Biosci. 2025 Jul 4;12:1605117. doi: 10.3389/fmolb.2025.1605117. eCollection 2025.
Colorectal cancer (CRC) is the third most common tumor worldwide and the second leading cause of cancer-related deaths. Colorectal cancer progresses slowly, and patients have to endure pain for a long time, both before and after surgery. The incidence rate has been increasing year by year in recent years, and the survival rate of patients is low. The number of new cases and deaths is expected to grow to 3.2 million and 1.6 million, respectively, by 2040. Currently, limited treatment (including surgical resection and radiotherapy) and systemic treatment (including chemotherapy and immune-targeted therapy) are the mainstays of colorectal cancer treatment, but the delay in treatment is still caused by untimely detection. In addition, some colorectal cancers are due to diet and lifestyle habits, but some are still due to heredity. Therefore, it is of great importance to analyze the genomic profiles of colorectal cancer and its paraneoplastic tissues, explore the disease-causing risk genes, and search for the potential novel therapeutic targets to improve the therapeutic efficacy of colorectal cancer.
Tumor and adjacent tissue samples were harvested from 26 colorectal cancer patients and divided into tumor and paraneoplastic tissues. Whole genome sequencing was performed on these two groups of samples to obtain somatic and germ line mutation data of the two groups of samples, and then based on the data of the two groups, we screened and analyzed the mutation spectra and mutation characteristics, high-frequency copy number variations, and high-frequency mutated genes of tumor and paraneoplastic samples, thus mapping the genomic map of tumor and cancer susceptibility genes of paraneoplastic samples. The genomic profiles of the tumor and paraneoplastic samples were subsequently mapped. Finally, we performed pan-cancer expression analysis of , a susceptibility gene with a high mutation frequency. We also performed differential analysis of gene expression. We verified its expression level and function by protein blotting, immunohistochemistry, and cell scratch and cell viability assays. These assays further confirmed the validity and reliability of the sequence genome profiles and explored new therapeutic targets for colorectal cancer.
Significant gene mutation differences were observed between the tumor and adjacent normal tissue by whole genome sequencing. Gene spectral analysis of the tumors revealed that the tumors were characterized by C>T mutation types, and most of the samples were dominated by signature A mutation characteristics. High-frequency copy number analysis showed that most samples had increased copy numbers of gene fragments on chromosomes 7, 13, and 20. In addition, one high-frequency mutated gene (ATAD3B) and six candidate susceptibility genes were screened from the mutation data results, in which the probabilities of susceptibility genes mutated in normal tissues next to cancer were (3.85%), (46.15%), (76.92%), (30.77%), (11.54%), and (80.77%); based on which we roughly came up with more ideal cancer susceptibility genes, i.e., and Then, using as a target gene, we demonstrated increased expression in numerous cancers, particularly COAD and READ, through pan-cancer and differential gene expression analyses. We also verified differential expression in tumor and precancerous tissues using immunohistochemistry and protein blotting. After breaking down expression in cells, we performed a cell scratch assay. The cell scratch assay showed that tumor cell migration was reduced in cells with low expression. The CCK8 assay showed that tumor cell proliferation slowed down in cells with low expression compared to cells with high SH3BP1 expression. This suggests that may promote tumor proliferation and migration in colorectal cancer and offers the opportunity to be used as a therapeutic target.
The large differences between single nucleotide mutations and insertion-deletion mutations in somatic cells and germ line cells indicate the large changes in the genome, especially in the non-coding region genome, during the transformation of normal tissue adjacent to cancer into cancerous tissue. In addition, the susceptibility gene found in this study has the role of promoting colorectal cancer, which has good research value and is expected to be a new target for colorectal cancer treatment.
结直肠癌(CRC)是全球第三大常见肿瘤,也是癌症相关死亡的第二大主要原因。结直肠癌进展缓慢,患者在手术前后都要长时间忍受疼痛。近年来发病率逐年上升,患者生存率较低。预计到2040年,新发病例数和死亡数将分别增至320万和160万。目前,有限治疗(包括手术切除和放疗)和全身治疗(包括化疗和免疫靶向治疗)是结直肠癌治疗的主要手段,但治疗延迟仍由检测不及时导致。此外,一些结直肠癌归因于饮食和生活习惯,但有些仍归因于遗传。因此,分析结直肠癌及其癌旁组织的基因组图谱,探索致病风险基因,寻找潜在的新型治疗靶点以提高结直肠癌的治疗效果具有重要意义。
从26例结直肠癌患者中采集肿瘤及相邻组织样本,分为肿瘤组织和癌旁组织。对这两组样本进行全基因组测序,获得两组样本的体细胞和种系突变数据,然后基于两组数据,筛选并分析肿瘤和癌旁样本的突变谱和突变特征、高频拷贝数变异以及高频突变基因,从而绘制肿瘤基因组图谱和癌旁样本的癌症易感性基因图谱。随后绘制肿瘤和癌旁样本的基因组图谱。最后,对高频突变的易感性基因进行泛癌表达分析。我们还对该基因的表达进行差异分析。通过蛋白质印迹、免疫组织化学、细胞划痕和细胞活力测定验证其表达水平和功能。这些测定进一步证实了序列基因组图谱的有效性和可靠性,并探索了结直肠癌的新治疗靶点。
通过全基因组测序观察到肿瘤组织与相邻正常组织之间存在显著的基因突变差异。对肿瘤的基因谱分析显示肿瘤以C>T突变类型为特征,大多数样本以特征A突变特征为主。高频拷贝数分析表明,大多数样本在7号、13号和20号染色体上的基因片段拷贝数增加。此外,从突变数据结果中筛选出一个高频突变基因(ATAD3B)和六个候选易感性基因,其中癌旁正常组织中易感性基因发生突变的概率分别为(3.85%)、(46.15%)、(76.92%)、(30.77%)、(11.54%)和(80.77%);据此我们大致得出了更理想的癌症易感性基因,即和。然后,以作为靶基因,通过泛癌和差异基因表达分析,我们证实在多种癌症中,尤其是在结肠癌(COAD)和直肠癌(READ)中表达增加。我们还使用免疫组织化学和蛋白质印迹验证了肿瘤组织和癌前组织中的差异表达。在细胞中下调表达后,我们进行了细胞划痕试验。细胞划痕试验表明,低表达细胞中的肿瘤细胞迁移减少。CCK8试验表明,与高表达SH3BP(1)的细胞相比,低表达细胞中的肿瘤细胞增殖减缓。这表明可能促进结直肠癌中的肿瘤增殖和迁移,并提供了作为治疗靶点的机会。
体细胞和种系细胞中单核苷酸突变和插入缺失突变之间的巨大差异表明,在癌旁正常组织向癌组织转变过程中基因组发生了巨大变化,尤其是在非编码区基因组。此外,本研究中发现的易感性基因具有促进结直肠癌的作用,具有良好的研究价值,有望成为结直肠癌治疗的新靶点。