Hunter Ewan, Alshaker Heba, Weston Cicely, Issa Mutaz, Bautista Shekinah, Gebregzabhar Abel, Virdi Anya, Dring Ann, Powell Ryan, Green Jayne, Lal Roshan, Velchuru Vamsi, Aryal Kamal, Bin Abu Hassan Muhammad Radzi, Meng Goh Tiong, Patel Janisha Suriakant, Mohamed Gani Shameera Pharveen, Lim Chun Ren, Guiel Thomas, Akoulitchev Alexandre, Pchejetski Dmitri
Oxford BioDynamics Plc., Oxford OX4 2WB, UK.
Norwich Medical School, University of East Anglia, Norwich NR4 7TJ, UK.
Cancers (Basel). 2025 Feb 4;17(3):521. doi: 10.3390/cancers17030521.
Colorectal cancer (CRC) arises from the epithelial lining of the colon or rectum, often following a progression from benign adenomatous polyps to malignant carcinoma. Screening modalities such as colonoscopy, faecal immunochemical tests (FIT), and FIT-DNA are critical for early detection and prevention, but non-invasive methods lack sensitivity to polyps and early CRC. Chromosome conformations (CCs) are potent epigenetic regulators of gene expression. We have previously developed an epigenetic assay, EpiSwitch, that employs an algorithmic-based CCs analysis. Using EpiSwitch technology, we have shown the presence of cancer-specific CCs in peripheral blood mononuclear cells (PBMCs) and primary tumours of patients with melanoma and prostate cancer. EpiSwitch-based commercial tests are now available to diagnose prostate cancer with 94% accuracy (PSE test) and response to immune checkpoint inhibitors across 14 cancers with 85% accuracy (CiRT test). Methods/Results/Conclusions: Using blood samples collected from = 171 patients with CRC, = 44 patients with colorectal polyps and = 110 patients with a 'clear' colonoscopy we performed whole Genome DNA screening for CCs correlating to CRC diagnosis. Our findings suggest the presence of two eight-marker CC signatures (EpiSwitch NST) in whole blood that allow diagnosis of CRC and precancerous polyps, respectively. Independent validation cohort testing demonstrated high accuracy in identifying colorectal polyps and early versus late stages of CRC with an exceptionally high sensitivity of 79-90% and a high positive prediction value of 60-84%. Linking the top diagnostic CCs to nearby genes, we have built pathways maps that likely underline processes contributing to the pathology of polyp and CRC progression, including TGFβ, cMYC, Rho GTPase, ROS, TNFa/NFκB, and APC.
结直肠癌(CRC)起源于结肠或直肠的上皮内层,通常经历从良性腺瘤性息肉到恶性癌的进展过程。结肠镜检查、粪便免疫化学检测(FIT)和FIT-DNA等筛查方式对于早期检测和预防至关重要,但非侵入性方法对息肉和早期结直肠癌缺乏敏感性。染色体构象(CCs)是基因表达的强大表观遗传调节因子。我们之前开发了一种表观遗传学检测方法EpiSwitch,它采用基于算法的CCs分析。利用EpiSwitch技术,我们已证实在黑色素瘤和前列腺癌患者的外周血单核细胞(PBMCs)和原发性肿瘤中存在癌症特异性CCs。基于EpiSwitch的商业检测现已可用于诊断前列腺癌,准确率达94%(PSE检测),以及评估14种癌症对免疫检查点抑制剂的反应,准确率达85%(CiRT检测)。方法/结果/结论:我们收集了171例结直肠癌患者、44例结直肠息肉患者和110例结肠镜检查“正常”患者的血液样本,对与结直肠癌诊断相关的CCs进行全基因组DNA筛查。我们的研究结果表明,全血中存在两种八标记CC特征(EpiSwitch NST),分别可用于诊断结直肠癌和癌前息肉。独立验证队列测试显示,在识别结直肠息肉以及结直肠癌的早期和晚期方面具有很高的准确性,灵敏度高达79 - 90%,阳性预测值高达60 - 84%。通过将顶级诊断性CCs与附近基因联系起来,我们构建了可能构成息肉病理和结直肠癌进展过程基础的通路图谱,包括TGFβ、cMYC、Rho GTPase、ROS、TNFa/NFκB和APC。