Department of Surgery, Chung-Ang University Hospital, 06973, Seoul, Republic of Korea.
Chung-Ang University College of Medicine, 06973, Seoul, Republic of Korea.
BMC Cancer. 2022 Aug 6;22(1):861. doi: 10.1186/s12885-022-09957-8.
BACKGROUND: Tumor budding is associated with lymph node (LN) metastasis in submucosal colorectal cancer (CRC). However, the rate of LN metastasis associated with the number of tumor buds is unknown. Here, we determined the optimal tumor budding cut-off number and developed a composite scoring system (CSS) for estimating LN metastasis of submucosal CRC. METHODS: In total, 395 patients with histologically confirmed T1N0-2M0 CRC were evaluated. The clinicopathological characteristics were subjected to univariate and multivariate analyses. The Akaike information criterion (AIC) values of the multivariate models were evaluated to identify the optimal cut-off number. A CSS for LN metastasis was developed using independent risk factors. RESULTS: The prevalence of LN metastasis was 13.2%. Histological differentiation, lymphatic or venous invasion, and tumor budding were associated with LN metastasis in univariate analyses. In multivariate models adjusted for histological differentiation and lymphatic or venous invasion, the AIC value was lowest for five tumor buds. Unfavorable differentiation (odds ratio [OR], 8.16; 95% confidence interval [CI], 1.80-36.89), lymphatic or venous invasion (OR, 5.91; 95% CI, 2.91-11.97), and five or more tumor buds (OR, 3.01; 95% CI, 1.21-7.69) were independent risk factors. In a CSS using these three risk factors, the rates of LN metastasis were 5.6%, 15.5%, 31.0%, and 52.4% for total composite scores of 0, 1, 2, and ≥ 3, respectively. CONCLUSIONS: For the estimation of LN metastasis in submucosal CRC, the optimal tumor budding cut-off number was five. Our CSS can be utilized to estimate LN metastasis.
背景:肿瘤芽与黏膜下结直肠癌(CRC)的淋巴结(LN)转移相关。然而,与肿瘤芽数量相关的 LN 转移率尚不清楚。本研究旨在确定最佳的肿瘤芽截断数量,并建立一个用于估计黏膜下 CRC 淋巴结转移的复合评分系统(CSS)。
方法:共评估了 395 例经组织学证实的 T1N0-2M0 CRC 患者。对临床病理特征进行单因素和多因素分析。通过评估多变量模型的赤池信息量准则(AIC)值来确定最佳截断数量。使用独立的危险因素建立用于 LN 转移的 CSS。
结果:LN 转移的发生率为 13.2%。组织学分化、淋巴管或静脉侵犯以及肿瘤芽与 LN 转移在单因素分析中相关。在多变量模型中,对组织学分化和淋巴管或静脉侵犯进行调整后,肿瘤芽数量为 5 个时 AIC 值最低。分化不良(优势比 [OR],8.16;95%置信区间 [CI],1.80-36.89)、淋巴管或静脉侵犯(OR,5.91;95% CI,2.91-11.97)和 5 个或更多肿瘤芽(OR,3.01;95% CI,1.21-7.69)是独立的危险因素。在使用这三个危险因素的 CSS 中,总复合评分分别为 0、1、2 和≥3 时,LN 转移率分别为 5.6%、15.5%、31.0%和 52.4%。
结论:对于黏膜下 CRC 的 LN 转移评估,最佳的肿瘤芽截断数量为 5 个。我们的 CSS 可用于估计 LN 转移。
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