Section of Cancer Surveillance, International Agency for Research on Cancer, Lyon, France.
Section of Cancer Surveillance, International Agency for Research on Cancer, Lyon, France; African Cancer Registry Network, Oxford, England.
Lancet Oncol. 2019 Feb;20(2):e103-e111. doi: 10.1016/S1470-2045(18)30897-0.
Accurate information on the extent of disease around the time of diagnosis is an important component of cancer care, in defining disease prognosis, and evaluating national and international cancer control policies. However, the collection of stage data by population-based cancer registries remains a challenge in both high-income and low and middle-income countries. We emphasise the lack of availability and comparability of staging information in many population-based cancer registries and propose Essential TNM, a simplified staging system for cancer registries when information on full Tumour, Node, Metastasis (TNM) is absent. Essential TNM aims at staging cancer in its most advanced disease form by summarising the extent of disease in the order of distant metastasis (M), regional lymph node involvement (N), and tumour size or extension, or both (T). Flowcharts and rules have been developed for coding these elements in breast, cervix, prostate, and colon cancers, and combining them into stage groups (I-IV) that correspond to those obtained by full TNM staging. Essential TNM is comparable to the Union for International Cancer Control TNM stage groups and is an alternative to providing staging information by the population-based cancer registries that complies with the objectives of the Global Initiative for Cancer Registry Development.
准确的疾病分期信息是癌症治疗的重要组成部分,它可以用于确定疾病的预后,并评估国家和国际癌症控制政策。然而,在高收入国家和低收入及中等收入国家,基于人群的癌症登记处收集分期数据仍然具有挑战性。我们强调许多基于人群的癌症登记处中分期信息的缺乏和不可比性,并提出了必要的 TNM,这是一种简化的癌症登记处分期系统,用于在缺乏完整肿瘤、淋巴结、转移(TNM)信息时对癌症进行分期。必要的 TNM 旨在通过总结远处转移(M)、区域淋巴结受累(N)、肿瘤大小或扩散程度(或两者)的疾病程度,将癌症分期为最严重的疾病形式。已经为乳腺癌、宫颈癌、前列腺癌和结肠癌制定了编码这些要素的流程图和规则,并将它们组合成与通过完整 TNM 分期获得的阶段组(I-IV)相对应的阶段组。必要的 TNM 与国际抗癌联盟的 TNM 阶段组具有可比性,是符合全球癌症登记发展倡议目标的替代方案,用于提供基于人群的癌症登记处的分期信息。