Translational Medicine Research Unit, Medical Research Center Oulu, Oulu University Hospital, and University of Oulu, Oulu.
Department of Biological and Environmental Science, University of Jyväskylä, Jyväskylä.
Am J Surg Pathol. 2024 Oct 1;48(10):1284-1292. doi: 10.1097/PAS.0000000000002286. Epub 2024 Jul 15.
Tumor necrosis has been reported to represent an independent prognostic factor in colorectal cancer, but its evaluation methods have not been described in sufficient detail to introduce tumor necrosis evaluation into clinical use. To study the potential of tumor necrosis as a prognostic indicator in colorectal cancer, criteria for 3 methods for its evaluation were defined: the average percentage method (tumor necrosis percentage of the whole tumor), the hotspot method (tumor necrosis percentage in a single hotspot), and the linear method (the diameter of the single largest necrotic focus). Cox regression models were used to calculate cancer-specific mortality hazard ratios (HRs) for tumor necrosis categories in 2 colorectal cancer cohorts with more than 1800 cases. For reproducibility assessment, 30 cases were evaluated by 9 investigators, and Spearman's rank correlation coefficients and Cohen's kappa coefficients were calculated. We found that all 3 methods predicted colorectal cancer-specific survival independent of other prognostic parameters, including disease stage, lymphovascular invasion, and tumor budding. The greatest multivariable HRs were observed for the average percentage method (cohort 1: HR for ≥ 40% vs. <3% 3.03, 95% CI, 1.93-4.78; cohort 2: HR for ≥ 40% vs. < 3% 2.97; 95% CI, 1.63-5.40). All 3 methods had high reproducibility, with the linear method showing the highest mean Spearman's correlation coefficient (0.91) and Cohen's kappa (0.70). In conclusion, detailed criteria for tumor necrosis evaluation were established. All 3 methods showed good reproducibility and predictive ability. The findings pave the way for the use of tumor necrosis as a prognostic factor in colorectal cancer.
肿瘤坏死已被报道为结直肠癌的一个独立预后因素,但尚未详细描述其评估方法,无法将肿瘤坏死评估引入临床应用。为了研究肿瘤坏死作为结直肠癌预后指标的潜力,我们定义了 3 种评估方法的标准:平均百分比法(整个肿瘤的肿瘤坏死百分比)、热点法(单个热点的肿瘤坏死百分比)和线性法(单个最大坏死灶的直径)。我们使用 Cox 回归模型计算了两个包含超过 1800 例病例的结直肠癌队列中肿瘤坏死类别的癌症特异性死亡率风险比(HR)。为了进行重现性评估,由 9 名研究人员评估了 30 例病例,并计算了 Spearman 秩相关系数和 Cohen's kappa 系数。我们发现,所有 3 种方法均独立于其他预后参数(包括疾病分期、血管淋巴管侵犯和肿瘤芽生)预测结直肠癌特异性生存。平均百分比法的最大多变量 HR 最高(队列 1:≥40% vs. <3%,HR 为 3.03,95%CI 为 1.93-4.78;队列 2:≥40% vs. <3%,HR 为 2.97;95%CI 为 1.63-5.40)。所有 3 种方法的重现性均较高,线性法的平均 Spearman 相关系数(0.91)和 Cohen's kappa(0.70)最高。总之,我们建立了详细的肿瘤坏死评估标准。所有 3 种方法均具有良好的重现性和预测能力。这些发现为将肿瘤坏死作为结直肠癌的预后因素的应用铺平了道路。