PO.PS01.04 · 人群科学
肺癌生存率的性别差异:一项使用PLCO试验的竞争风险模型
Sex-based differences in lung cancer survival: A competing risks model using the PLCO trial
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
目的:肺癌每年在美国造成超过130,000人死亡。尽管非小细胞肺癌(NSCLC)女性患者的生存率似乎优于男性,但许多既往研究未能充分考虑关键混杂因素,包括吸烟史和竞争性死亡原因。此外,大型队列分析常依赖Cox模型,当竞争性死亡显著时,该模型可能高估病因特异性风险。因此,本研究评估了在校正这些混杂因素后NSCLC的性别生存差异是否依然存在,并应用竞争风险回归以充分考虑竞争性死亡原因,从而更准确地量化肺癌特异性死亡率。
方法:使用前列腺癌、肺癌、结直肠癌和卵巢癌(PLCO)试验的数据,我们选取首次恶性肿瘤为原发性NSCLC的患者,排除任何有既往其他癌症诊断或继发性/转移性肺肿瘤者。采用Fine and Gray竞争风险模型评估女性与男性的肺癌特异性生存,并对社会人口学因素、癌症部位、组织学、治疗、吸烟状况及合并症进行校正。由于NSCLC患者因非癌症相关原因死亡的比例很高,我们应用竞争风险模型以准确考虑这一点。这一方法避免了在老年人群中使用Cox模型时可能出现的病因特异性风险超过两倍(2.25倍)的高估。所有分析均使用SAS 9.4进行。
结果:在2,793例患者中(59%男性,41%女性),2,006例(72%)发生肺癌相关死亡,531例(19%)死于其他原因,256例(9%)在末次随访时存活。女性患者更可能为从不吸烟者(14% vs 5%,p<0.0001)、患腺癌(55% vs 42%,p<0.0001),且患心血管疾病的可能性更低(心力衰竭:7% vs 18%,p<0.0001)。
未校正的Fine and Gray模型显示女性的肺癌特异性死亡率较低(风险比[HR]:0.81,95%置信区间[CI]:0.74-0.88)。校正分析表明,女性性别(HR:0.85,95% CI:0.74-0.98)与肺癌特异性死亡风险降低相关。女性性别与IV期疾病之间存在显著交互作用(b系数:0.18,95% CI:0.99-1.45),表明在晚期疾病患者中,女性和男性的肺癌特异性生存相似。
结论:NSCLC女性患者在校正竞争风险和混杂因素后表现出更低的肺癌特异性死亡率。这些结果可能提示存在性别差异,源于肿瘤生物学、自然疾病进展的内在生物学差异,或女性总体预期寿命的增加,进一步支持对包括激素信号传导和免疫反应在内的分子通路进行研究,以指导最佳治疗策略。
查看英文原文 English abstract
Purpose:Lung cancer causes more than 130,000 deaths each year in the United States. Although females with non-small cell lung cancer (NSCLC) appear to have better survival than males, many prior studies did not fully account for key confounders, including smoking history and competing causes of mortality. Moreover, large cohort analyses often relied on Cox models, which may overestimate cause-specific risks when competing mortality is substantial. Hence, in this study, we assessed whether sex-based survival differences in NSCLC persist after adjusting for these confounders and applied competing risk regression to adequately account for competing causes of death and more accurately quantify lung cancer-specific mortality.
Methods:Using data from the Prostate, Lung, Colorectal, and Ovarian (PLCO) trial, we selected patients whose first-ever malignancy was primary NSCLC, excluding anyone with a prior other cancer diagnosis or secondary/metastatic lung tumors. Lung cancer-specific survival for females versus males was evaluated using Fine and Gray competing risk models, adjusting for sociodemographic factors, cancer location, histology, treatment, smoking status, and comorbidities. Because patients with NSCLC experience substantial mortality from non-cancer-related causes, we applied a competing risk model to accurately account for this. This approach avoids the more than twofold (2.25-fold) overestimation of cause-specific risk that can occur when Cox models are used in elderly populations. All analyses were performed using SAS 9.4.
Results:Among 2,793 patients (59% male, 41% female), 2,006 (72%) experienced lung cancer-related death, 531 (19%) died from other causes, and 256 (9%) were alive at last follow-up. Female patients were more likely to be never smokers (14% vs 5%, p<0.0001), have adenocarcinoma (55% vs 42%, p<0.0001), and less likely to have cardiovascular disease (heart failure: 7% vs 18%, p<0.0001).
Unadjusted Fine and Gray models showed (hazard ratio [HR]: 0.81, 95% confidence interval [CI]: 0.74-0.88) lower lung cancer-specific mortality among women. Adjusted analyses demonstrated that female sex (HR: 0.85, 95% CI: 0.74-0.98) was associated with decreased risk of lung cancer-specific death. A significant interaction between female sex and stage IV disease (b coefficient: 0.18, 95% CI: 0.99-1.45) showed that lung cancer-specific survival of women and men was similar among patients with advanced disease.
Conclusions:Females with NSCLC demonstrate reduced lung cancer-specific mortality after adjustment for competing risks and confounders. These results could be suggestive of sex-based disparities in inherent biological differences in tumor biology, natural disease progression, or overall increased life expectancy in females, further supporting investigating molecular pathways including hormonal signaling and immune responses to guide optimal treatment strategies.
利益披露 Disclosure
V. N. Shah, None..
G. Mhango, None..
D. Shah, None..
J. P. Wisnivesky, None.