Faculty of Medicine and Health, Sydney School of Public Health, Camperdown, NSW, Australia; The Daffodil Centre, University of Sydney, Sydney, NSW, Australia.
Faculty of Medicine and Health, Sydney School of Public Health, Camperdown, NSW, Australia; The Daffodil Centre, University of Sydney, Sydney, NSW, Australia.
Pathology. 2024 Feb;56(1):39-46. doi: 10.1016/j.pathol.2023.09.011. Epub 2023 Nov 21.
Information available from the New South Wales Cancer Registry (NSWCR) about the aggressiveness of prostate cancer is limited to the summary stage variable 'degree of spread', which contains a high proportion of cases defined as 'unknown'. In this study we demonstrate the feasibility of obtaining and analysing prostate cancer pathology data from stored pathology records. Pathology data were extracted from stored pathology records of incident prostate cancer cases in men participating in the 45 and Up Study, a large Australian prospective cohort study, who were diagnosed between January 2006 and December 2013. Baseline questionnaires from the 45 and Up Study were linked to the NSWCR. Demographic and pathology items were tabulated and associations described. We evaluated the completeness of pathological characteristics by degree of spread of cancer at diagnosis. Among the 123,921 men enrolled in the 45 and Up Study, 5,091 had incident prostate cancer and 5,085 were linked to a pathology record. The most complete variables included grade group of diagnostic (85.8%) and surgical (99.8%) specimens, margin status (98.1%), extraprostatic extension (95.1%) and seminal vesicle invasion (96.8%). Most diagnostic specimens were grade group 1 (26.6%) or 2 (23.5%). Of the 5,085 cases, 30.8% were classified by the NSWCR with unknown degree of spread; a pathology record could be extracted for 99.4% of these. The unknown degree of spread cases had similar levels of completeness and distribution of diagnostic and surgical pathology features to those with a localised degree of spread. This study demonstrated the feasibility of obtaining and analysing data derived from pathology reports from centralised state-based cancer registry notifications. Supplementing degree of spread information with pathology data from diagnosis and surgery will improve both the quality of research and policy aimed at improving the lives of men with prostate cancer.
从新南威尔士癌症登记处（NSWCR）获得的关于前列腺癌侵袭性的信息仅限于摘要阶段变量“扩散程度”，其中包含很大比例的病例被定义为“未知”。在这项研究中，我们展示了从存储的病理学记录中获取和分析前列腺癌病理学数据的可行性。从参与大型澳大利亚前瞻性队列研究 45 and Up Study 的男性中患有前列腺癌的男性的存储病理学记录中提取了病理学数据，这些男性病例的诊断时间在 2006 年 1 月至 2013 年 12 月之间。将 45 and Up Study 的基线问卷与 NSWCR 联系起来。列出了人口统计学和病理学项目，并描述了关联。我们通过诊断时癌症的扩散程度评估了病理特征的完整性。在 45 and Up Study 中，有 123921 名男性参加，其中有 5091 名男性患有前列腺癌，有 5085 名男性与病理学记录相关。最完整的变量包括诊断（85.8%）和手术（99.8%）标本的分级组、切缘状态（98.1%）、前列腺外扩展（95.1%）和精囊侵犯（96.8%）。大多数诊断标本的分级组为 1（26.6%）或 2（23.5%）。在 5085 例病例中，有 30.8%的病例被 NSWCR 归类为未知的扩散程度，其中 99.4%的病例可以提取病理学记录。未知扩散程度的病例与局部扩散程度的病例具有相似的完整程度和诊断及手术病理特征分布。本研究证明了从中央州级癌症登记处通知中获取和分析来自病理学报告的数据的可行性。用诊断和手术的病理学数据补充扩散程度信息，将提高针对改善前列腺癌男性生活的研究和政策的质量。
