IASLC grading system predicts distant metastases for resected lung adenocarcinoma.

IF 2.5 4区 医学 Q2 PATHOLOGY Journal of Clinical Pathology Pub Date : 2024-08-21 DOI:10.1136/jcp-2024-209649
Yuezhu Wang, Margaret R Smith, Caroline B Dixon, Ralph D'Agostino, Yin Liu, Jimmy Ruiz, Michael D Chan, Jing Su, Kathryn F Mileham, Thomas Lycan, Mary E Green, Omer A Hassan, Yuming Jiang, M Khalid Khan Niazi, Wencheng Li, Fei Xing
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Abstract

Aims: The International Association for the Study of Lung Cancer (IASLC) has proposed a new histological grading system for invasive lung adenocarcinoma (LUAD). However, the efficacy of this grading system in predicting distant metastases in patients with LUAD remains unexplored. This study aims to assess the potential of the IASLC grading system in predicting the occurrence of brain and bone metastases in patients with resectable LUAD, thereby identifying individuals at high risk of post-surgery distant metastasis.

Methods: We retrospectively analysed clinical data and pathological reports of 174 patients with early-stage LUAD who underwent surgical resection between 2008 and 2015 at our cancer center. Patients were monitored for 5 years, and their bone and brain metastasis-free survival rates were determined.

Results: 28 out of 174 patients developed distant metastases in 5 years with a median overall survival of 60 months for metastasis-free patients and 38.3 months for patients with distant metastasis. Tumour grading of all samples was evaluated by both IASLC grading and predominant pattern-based grading systems. Receiver operating characteristic (ROC) curves were used to evaluate the predictive capabilities of the IASLC grading system and tumour stage for distant metastasis. Compared with the predominant pattern-based grading system, the IASLC grading system showed a better correlation with the incidence of distant metastasis and lymphovascular invasion. ROC analyses revealed that the IASLC grading system outperformed tumour stage in predicting distant metastasis.

Conclusions: Our study indicates that the IASLC grading system is capable of predicting the incidence of distant metastasis among patients with early-stage invasive LUAD.

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IASLC分级系统可预测切除肺腺癌的远处转移。
目的:国际肺癌研究协会(IASLC)提出了一种新的浸润性肺腺癌(LUAD)组织学分级系统。然而,该分级系统在预测 LUAD 患者远处转移方面的有效性仍有待探索。本研究旨在评估IASLC分级系统在预测可切除肺腺癌患者发生脑转移和骨转移方面的潜力,从而确定手术后远处转移的高危人群:我们回顾性分析了2008年至2015年间在本癌症中心接受手术切除的174例早期LUAD患者的临床数据和病理报告。结果:174 例患者中有 28 例在 5 年内发生了远处转移,无转移患者的中位总生存期为 60 个月,有远处转移患者的中位总生存期为 38.3 个月。所有样本的肿瘤分级均通过IASLC分级系统和基于主要模式的分级系统进行评估。受体操作特征曲线(ROC)用于评估IASLC分级系统和肿瘤分期对远处转移的预测能力。与基于主要模式的分级系统相比,IASLC分级系统与远处转移和淋巴管侵犯的发生率有更好的相关性。ROC分析显示,IASLC分级系统在预测远处转移方面优于肿瘤分期:我们的研究表明,IASLC分级系统能够预测早期浸润性LUAD患者的远处转移发生率。
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来源期刊
CiteScore
7.80
自引率
2.90%
发文量
113
审稿时长
3-8 weeks
期刊介绍: Journal of Clinical Pathology is a leading international journal covering all aspects of pathology. Diagnostic and research areas covered include histopathology, virology, haematology, microbiology, cytopathology, chemical pathology, molecular pathology, forensic pathology, dermatopathology, neuropathology and immunopathology. Each issue contains Reviews, Original articles, Short reports, Correspondence and more.
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