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基于系统评价的肺癌骨转移多学科治疗算法

Systematic Review-Based Treatment Algorithm for the Multidisciplinary Treatment of Lung Cancer Bone Metastases.

作者信息

Lim Ah Reum, Yoon Won Sup, Park Sunmin, Rim Chai Hong

机构信息

Department of Internal Medicine, Division of Oncology, Korea University Ansan Hospital, Korea University, Ansan-si 15355, Republic of Korea.

Department of Radiation Oncology, Korea University Ansan Hospital, Korea University, Ansan-si 15355, Republic of Korea.

出版信息

Cancers (Basel). 2024 Dec 12;16(24):4144. doi: 10.3390/cancers16244144.

Abstract

The prognosis for patients with lung cancer bone metastases has improved with the use of novel systemic agents. These patients might need surgery or radiotherapy to alleviate symptoms or maintain function. However, there is currently no disease specific algorithm to guide multidisciplinary decisions. : The inclusion criteria encompassed studies with ≥10 patients offering multivariate analysis data on survival that were published after 2000 until September 2023. Clinical factors were categorized based on their characteristics and the pooled hazard ratios (HRs) for each category were calculated. A treatment algorithm was proposed based on clinical importance and the pooled HRs. : Fifteen studies involving 3759 patients with lung cancer bone metastases were included. The median survival ranged between 1.8-28.3 months (median: 12.4). Among the studies involving patients with EGFR+ or treated with TKIs, the median survival ranged between 19.5-28.3 months. The most reported significant factor was ECOG performance (nine studies) followed by chemotherapy use (six studies). In the pooled analyses, the pooled HR [95% confidence interval (CI)] of the EGFR status category was 2.109 (1.345-3.305); the ECOG performance category was 2.007 (1.536-2.622); the visceral metastases category was 2.060 (1.370-3.098); the bone metastases characteristics category (e.g., multiplicity, weight-bearing bone metastases) was 1.910 (1.443-2.527); the body weight category was 1.805 (1.334-2.442); the anti-absorbants category was 1.784 (1.448-2.196); the systemic treatment category was 1.695 (1.407-2.041); the skeletal-related event category was 1.616 (1.063-2.458); the smoking status category was 1.530 (1.306-1.793); the gender category was 1.482 (1.270-1.729); and the histology category was 1.450 (1.186-1.772). : Oncological prognoses are influenced by various interrelated factors. Our treatment algorithm supports multidisciplinary strategies for managing NSCLC bone metastases, considering the complex factors influencing prognosis.

摘要

使用新型全身治疗药物后,肺癌骨转移患者的预后有所改善。这些患者可能需要手术或放疗来缓解症状或维持功能。然而,目前尚无针对该疾病的特定算法来指导多学科决策。纳入标准包括2000年以后至2023年9月发表的、纳入≥10例患者且提供生存多变量分析数据的研究。根据临床因素的特征进行分类,并计算每类因素的合并风险比(HRs)。基于临床重要性和合并HRs提出了一种治疗算法。纳入了15项涉及3759例肺癌骨转移患者的研究。中位生存期在1.8 - 28.3个月之间(中位数:12.4个月)。在涉及表皮生长因子受体(EGFR)阳性或接受酪氨酸激酶抑制剂(TKIs)治疗患者的研究中,中位生存期在19.5 - 28.3个月之间。报告最多的显著因素是美国东部肿瘤协作组(ECOG)体能状态(9项研究),其次是化疗使用情况(6项研究)。在汇总分析中,EGFR状态分类的合并HR [95%置信区间(CI)]为2.109(1.345 - 3.305);ECOG体能状态分类为2.007(1.536 - 2.622);内脏转移分类为2.060(1.370 - 3.098);骨转移特征分类(如转移灶数量、负重骨转移)为1.910(1.443 - 2.527);体重分类为1.805(1.334 - 2.442);抗吸收剂分类为1.784(1.448 - 2.196);全身治疗分类为1.695(1.407 - 2.041);骨相关事件分类为1.616(1.063 - 2.458);吸烟状态分类为1.530(1.306 - 1.793);性别分类为1.482(1.270 - 1.729);组织学分类为1.450(1.186 - 1.772)。肿瘤预后受多种相互关联的因素影响。考虑到影响预后的复杂因素,我们的治疗算法支持非小细胞肺癌(NSCLC)骨转移的多学科管理策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e17d/11674356/27aff1ab7f8f/cancers-16-04144-g001.jpg

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