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Explainable Machine Learning Predictions for the Benefit From Chemotherapy in Advanced Non-Small Cell Lung Cancer Without Available Targeted Mutations 无靶向突变的晚期非小细胞肺癌化疗获益的可解释机器学习预测
IF 1.9 4区 医学 Q3 RESPIRATORY SYSTEM Pub Date : 2024-12-18 DOI: 10.1111/crj.70044
Zhao Shuang, Xiong Xingyu, Cheng Yue, Yu Mingjing

Background

Non-small cell lung cancer (NSCLC) is a global health challenge. Chemotherapy remains the standard therapy for advanced NSCLC without mutations, but drug resistance often reduces effectiveness. Developing more effective methods to predict and monitor chemotherapy benefits early is crucial.

Methods

We carried out a retrospective cohort study of NSCLC patients without targeted mutations who received chemotherapy at West China Hospital from 2009 to 2013. We identified variables associated with chemotherapy outcomes and built four predictive models by machine learning. Shapley additive explanations (SHAP) interpreted the best model's predictions. The Kaplan–Meier method assessed key variables' impact on 5-year overall survival.

Results

The study enrolled 461 NSCLC patients. Eight variables were selected for the model: differentiation, surgery history, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), total bilirubin (TBIL), total protein (TP), alanine aminotransferase (ALT), and lactate dehydrogenase (LDH). The extreme gradient boosting (Xgboost) model exhibited superior discriminatory ability in predicting complete response (CR) probabilities to chemotherapy, with an AUC of 0.78. SHAP plots showed surgery history and high differentiation were related to CR benefits from chemotherapy. Absence of surgery, higher NLR, higher PLR, and higher LDH were all independent prognostic factors for poor survivals in NSCLC patients without mutations receiving chemotherapy.

Conclusions

By machine learning, we developed a predictive model to assess chemotherapy benefits in NSCLC patients without targeted mutations, utilizing eight readily available and non-invasive clinical indicators. Demonstrating satisfactory predictive performance and clinical practicability, this model may help clinicians identify patients' tendency to benefit from chemotherapy, potentially improving their prognosis.

背景:非小细胞肺癌(NSCLC)是一个全球性的健康挑战。化疗仍然是晚期非小细胞肺癌无突变的标准治疗方法,但耐药往往降低疗效。开发更有效的方法来早期预测和监测化疗的效果是至关重要的。方法:对2009 - 2013年在华西医院接受化疗的非靶向突变NSCLC患者进行回顾性队列研究。我们确定了与化疗结果相关的变量,并通过机器学习建立了四个预测模型。Shapley加性解释(SHAP)解释了最佳模型的预测。Kaplan-Meier方法评估了关键变量对5年总生存率的影响。结果:该研究纳入了461例非小细胞肺癌患者。模型选取了8个变量:分化、手术史、中性粒细胞与淋巴细胞比值(NLR)、血小板与淋巴细胞比值(PLR)、总胆红素(TBIL)、总蛋白(TP)、丙氨酸转氨酶(ALT)、乳酸脱氢酶(LDH)。极端梯度增强(Xgboost)模型在预测化疗完全缓解(CR)概率方面表现出优越的判别能力,AUC为0.78。SHAP图显示手术史和高分化与化疗的CR获益有关。没有手术,更高的NLR,更高的PLR和更高的LDH都是接受化疗的非突变NSCLC患者生存不良的独立预后因素。结论:通过机器学习,我们开发了一个预测模型来评估无靶向突变的非小细胞肺癌患者的化疗益处,利用8个现成的非侵入性临床指标。该模型表现出令人满意的预测性能和临床实用性,可以帮助临床医生确定患者从化疗中获益的倾向,从而潜在地改善其预后。
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引用次数: 0
Concomitant ALK Fusion and TP53/EGFR Mutation Lead to Adverse Prognostic Outcome 伴随ALK融合和TP53/EGFR突变导致不良预后。
IF 1.9 4区 医学 Q3 RESPIRATORY SYSTEM Pub Date : 2024-12-16 DOI: 10.1111/crj.70041
Mingyuan Du, Cuiwei Liu, Leichong Chen, Zhenyu Li, Sijia Zhang, Rui Meng

Lung cancer treatment has evolved at the molecular level. Detecting the presence of driver genes in lung cancer fundamentally alters the choice of therapeutic regimens and the outcome of this disease. ALK fusion mutation is one of the most important mutations in nonsmall cell lung cancer (NSCLC). Also, it often has other coexisting mutation types. TP53 is the most common coexisting mutation type, whereas the EGFR/ALK coexisting mutation type is extremely rare. There is still no definite conclusion about the impact of the multimutation and best treatment options for NSCLC patients with advanced multimutation. In this study, we report three cases of NSCLC with ALK fusion mutations as well as ALK combined with TP53 mutations and ALK combined with EGFR mutations. Combining cases from our oncology center and previous literature, we found that NSCLC patients with coexisting ALK fusion mutations and other mutations have poorer response to targeted therapy and poorer prognosis, and we also compared the efficacy rates of various types of coexisting mutations for different treatment regimens. Therefore, this review can help to evaluate the prognosis of NSCLC patients with coexisting mutations and the efficacy of targeted therapies and to find more favorable treatment options for patients with this type of coexisting mutations.

肺癌的治疗已经在分子水平上得到了发展。检测肺癌驱动基因的存在从根本上改变了治疗方案的选择和这种疾病的结果。ALK融合突变是非小细胞肺癌(NSCLC)中最重要的突变之一。此外,它经常有其他共存的突变类型。TP53是最常见的共存突变类型,而EGFR/ALK共存突变类型极为罕见。关于多突变的影响和晚期多突变NSCLC患者的最佳治疗方案仍没有明确的结论。在本研究中,我们报道了3例ALK融合突变、ALK合并TP53突变和ALK合并EGFR突变的NSCLC。结合我们肿瘤中心的病例和既往文献,我们发现同时存在ALK融合突变和其他突变的NSCLC患者对靶向治疗的反应较差,预后较差,我们也比较了不同类型共存突变在不同治疗方案下的有效率。因此,本综述有助于评估共存突变NSCLC患者的预后和靶向治疗的疗效,为这类共存突变患者寻找更有利的治疗方案。
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引用次数: 0
Dramatic Response to Ensartinib in Metastatic Neuroendocrine Tumors With a Novel CEP44-ALK Fusion: A Case Report and Literature Review 新型 CEP44-ALK 融合的转移性神经内分泌肿瘤对恩沙替尼的显著反应:病例报告和文献综述。
IF 1.9 4区 医学 Q3 RESPIRATORY SYSTEM Pub Date : 2024-12-12 DOI: 10.1111/crj.70040
Haiyang Chen, Yingxi Wu, Xuan Wu, Kai Wang, Qingxin Xia, Qiming Wang

Neuroendocrine tumor (NET) is a deadly malignancy disease that can be found anywhere in the body. The lack of tumor-specific treatment led to the worse prognosis of NET. Anaplastic lymphoma kinase-tyrosine kinase inhibitors (ALK-TKIs), such as alectinib and crizotinib, have been used in the treatment of NET patients with ALK rearrangement. However, the response to ensatinib in NET patients with rare ALK fusion has been rarely reported. Here, we report a 55-year-old Chinese female patient with NET (atypical carcinoid tumor) and a novel CEP44-ALK rearrangement identified by next-generation sequencing (NGS). NGS can provide more information on mutation landscape for rare neuroendocrine tumors to guide treatment and assist in clinical decisions by presenting molecular changes. The patient received ensartinib (225 mg/day) for 18 months until disease progression in June 2024 and achieved a radiographic partial response. Although patients with ALK fusions showed response to ensatinib in nonsmall cell lung cancer (NSCLC), this study first reports a metastatic NET case with a novel CEP44-ALK rearrangement that responded favorably to ensartinib.

神经内分泌肿瘤(NET)是一种可在身体任何部位发现的致命恶性肿瘤。缺乏肿瘤特异性治疗导致NET预后较差。间变性淋巴瘤激酶-酪氨酸激酶抑制剂(ALK- tkis),如阿勒替尼和克唑替尼,已被用于治疗ALK重排的NET患者。然而,罕见ALK融合的NET患者对恩沙替尼的反应很少有报道。在这里,我们报告了一位55岁的中国女性NET(非典型类癌)患者,通过下一代测序(NGS)发现了一种新的CEP44-ALK重排。NGS可以为罕见神经内分泌肿瘤提供更多的突变景观信息,通过分子变化来指导治疗和辅助临床决策。患者接受恩沙替尼(225mg /天)治疗18个月,直到2024年6月疾病进展,并获得放射学部分缓解。尽管ALK融合患者在非小细胞肺癌(NSCLC)中对恩沙替尼有反应,但本研究首次报道了一例转移性NET病例,该病例具有一种新的CEP44-ALK重排,对恩沙替尼有良好的反应。
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引用次数: 0
Causal Association Between Monounsaturated Fatty Acids and Lung Cancer: A Two-Sample Mendelian Randomization Study 单不饱和脂肪酸与肺癌之间的因果关系:一项双样本孟德尔随机研究。
IF 1.9 4区 医学 Q3 RESPIRATORY SYSTEM Pub Date : 2024-12-10 DOI: 10.1111/crj.70038
Shaofeng Zhang, Jia Jiang, Xiping Wu, Jiayi Liu, Wei Lei, Siqin Chen, Yaling Zeng, Xiang Liu, Qiang Xiao

Objective

This study aims to investigate the potential causal relationship between monounsaturated fatty acids (MUFAs) and lung cancer.

Methods

Genetic data on MUFAs and pathological subtypes of lung cancer were extracted from genome-wide association studies (GWAS). The primary analysis utilized inverse-variance weighted analysis (IVW), with additional methods including the weighted median method, MR-Egger regression method, and weighted model method. Sensitivity analysis was conducted to assess the robustness of the findings.

Results

The inverse variance–weighted (IVW) analysis of monounsaturated fatty acids in relation to lung adenocarcinoma yielded an odds ratio (OR) of 1.059 with a 95% confidence interval of 0.960 to 1.168 and a p value of 0.252. Similarly, for lung squamous cell carcinoma, the IVW analysis produced odd ratios of 0.884, 95% confidence intervals of 0.747 to 1.045, and a p value of 0.148. In the case of small cell lung cancer, the odds ratio was 0.936, the 95% confidence interval was 0.751 to 1.166, and the p value was 0.554.

Conclusion

It can be concluded that there is no direct causal relationship between monounsaturated fatty acids and the development of lung cancer.

目的:探讨单不饱和脂肪酸(MUFAs)与肺癌之间的潜在因果关系。方法:从全基因组关联研究(GWAS)中提取MUFAs与肺癌病理亚型的遗传数据。主要分析采用反方差加权分析(IVW),附加方法包括加权中位数法、MR-Egger回归法和加权模型法。进行敏感性分析以评估研究结果的稳健性。结果:单不饱和脂肪酸与肺腺癌相关的逆方差加权(IVW)分析得出优势比(OR)为1.059,95%置信区间为0.960 ~ 1.168,p值为0.252。同样,对于肺鳞状细胞癌,IVW分析的奇比为0.884,95%可信区间为0.747 ~ 1.045,p值为0.148。对于小细胞肺癌,比值比为0.936,95%可信区间为0.751 ~ 1.166,p值为0.554。结论:单不饱和脂肪酸与肺癌的发生无直接的因果关系。
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引用次数: 0
Rapid Response to Penpulimab Combined With Anlotinib and Chemotherapy in a Thoracic SMARCA4-UT Without PD-L1 Expression: A Case Report and Review of Literature Penpulimab联合Anlotinib和化疗对无PD-L1表达的胸部SMARCA4-UT的快速反应:1例报告和文献回顾
IF 1.9 4区 医学 Q3 RESPIRATORY SYSTEM Pub Date : 2024-12-08 DOI: 10.1111/crj.70036
Yuanhang Wang, Kelei Zhao, Jingjing Zhang, Xiaohan Yuan, Yanting Liu, Jinghang Zhang, Ping Lu, Min Zhang

SMARCA4-deficient undifferentiated tumor (SMARCA4-UT) in the chest is a high-grade malignant tumor that grows rapidly and often carries a poor prognosis. Unfortunately, there are currently no effective treatment available until now. Here, we report a case of SMARCA4-UT in a patient who showed a swift response to a combination treatment of penpulimab, anlotinib, and chemotherapy. A 55-year-old man was diagnosed with thoracic SMARCA4-UT along with metastases to multiple lymph nodes, the pleura, and bones. Immunohistochemical (IHC) testing indicated the absence of PD-L1 expression in tumor cells. He was given sintilimab and anlotinib as first line treatment. However, a follow-up chest CT revealed progressive disease (PD) after the first cycle treatment. Subsequently, the second line regimen was modified to etoposide and cisplatin (EP) combined with anlotinib and penpulimab. The effectiveness evaluation revealed partial remission (PR) following two cycles of the second-line regimen treatment. Notably, the patient's progress-free survival (PFS) exceeds 7 months and the overall survival up to 12 months. Our case implies that a combination of chemotherapy, anlotinib, and penpulimab might offer a promising therapeutic approach for PD-L1-negative thoracic SMARCA4-UT.

胸部smarca4缺陷未分化肿瘤(SMARCA4-UT)是一种生长迅速且预后差的高级别恶性肿瘤。不幸的是,目前还没有有效的治疗方法。在这里,我们报告了一例SMARCA4-UT患者,他对喷普利单抗、安洛替尼和化疗的联合治疗表现出迅速的反应。一名55岁男性被诊断为胸椎SMARCA4-UT,并伴有多发性淋巴结、胸膜和骨骼转移。免疫组化(IHC)检测显示肿瘤细胞中PD-L1表达缺失。给予辛替单抗和安洛替尼作为一线治疗。然而,随访胸部CT显示第一周期治疗后疾病进展(PD)。随后,二线方案被修改为依托泊苷和顺铂(EP)联合安洛替尼和彭普利单抗。有效性评估显示,经过两个周期的二线方案治疗后部分缓解(PR)。值得注意的是,患者的无进展生存期(PFS)超过7个月,总生存期长达12个月。我们的病例表明,化疗、安洛替尼和喷普利单抗联合治疗pd - l1阴性的胸部SMARCA4-UT可能是一种有希望的治疗方法。
{"title":"Rapid Response to Penpulimab Combined With Anlotinib and Chemotherapy in a Thoracic SMARCA4-UT Without PD-L1 Expression: A Case Report and Review of Literature","authors":"Yuanhang Wang,&nbsp;Kelei Zhao,&nbsp;Jingjing Zhang,&nbsp;Xiaohan Yuan,&nbsp;Yanting Liu,&nbsp;Jinghang Zhang,&nbsp;Ping Lu,&nbsp;Min Zhang","doi":"10.1111/crj.70036","DOIUrl":"10.1111/crj.70036","url":null,"abstract":"<p>SMARCA4-deficient undifferentiated tumor (SMARCA4-UT) in the chest is a high-grade malignant tumor that grows rapidly and often carries a poor prognosis. Unfortunately, there are currently no effective treatment available until now. Here, we report a case of SMARCA4-UT in a patient who showed a swift response to a combination treatment of penpulimab, anlotinib, and chemotherapy. A 55-year-old man was diagnosed with thoracic SMARCA4-UT along with metastases to multiple lymph nodes, the pleura, and bones. Immunohistochemical (IHC) testing indicated the absence of PD-L1 expression in tumor cells. He was given sintilimab and anlotinib as first line treatment. However, a follow-up chest CT revealed progressive disease (PD) after the first cycle treatment. Subsequently, the second line regimen was modified to etoposide and cisplatin (EP) combined with anlotinib and penpulimab. The effectiveness evaluation revealed partial remission (PR) following two cycles of the second-line regimen treatment. Notably, the patient's progress-free survival (PFS) exceeds 7 months and the overall survival up to 12 months. Our case implies that a combination of chemotherapy, anlotinib, and penpulimab might offer a promising therapeutic approach for PD-L1-negative thoracic SMARCA4-UT.</p>","PeriodicalId":55247,"journal":{"name":"Clinical Respiratory Journal","volume":"18 12","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11625506/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142796607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Revolutionizing NSCLC Treatment: Immunotherapy Strategies for EGFR-TKIs Resistance 革命性的非小细胞肺癌治疗:EGFR-TKIs耐药性的免疫治疗策略
IF 1.9 4区 医学 Q3 RESPIRATORY SYSTEM Pub Date : 2024-12-04 DOI: 10.1111/crj.70037
Jin Tian, Zhiqi Shi, Lili Zhao, Peng Liu, Xiaojun Sun, Lin Long, Jianhua Zang, Jun Xiao

Epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) are the standard treatment choice for advanced non-small cell lung cancer (NSCLC) patients with EGFR mutations. EGFR-TKIs have made significant progress in the treatment of advanced NSCLC patients, but drug resistance issues still inevitably arise. The mechanism of drug resistance and subsequent treatment has been current research challenge and priority. Immune checkpoint inhibitors (ICIs) are a new choice for late-stage NSCLC patients without druggable molecular alterations. Currently, several studies have applied ICIs therapy for NSCLC patients with EGFR-TKIs resistance and explored the potential efficacy of ICIs. This review elaborates on the current status of immunotherapy after EGFR-TKIs resistance, including ICIs monotherapy, combined with EGFR-TKIs, chemotherapy, antiangiogenic drugs, and other therapies.

表皮生长因子受体酪氨酸激酶抑制剂(EGFR- tkis)是EGFR突变的晚期非小细胞肺癌(NSCLC)患者的标准治疗选择。EGFR-TKIs在晚期NSCLC患者的治疗中取得了重大进展,但耐药性问题仍然不可避免地出现。耐药机制及后续治疗一直是当前研究的难点和重点。免疫检查点抑制剂(ICIs)是晚期非小细胞肺癌(NSCLC)患者无可药物分子改变的新选择。目前已有多项研究将ICIs应用于EGFR-TKIs耐药的NSCLC患者,并探讨了ICIs的潜在疗效。本文综述了EGFR-TKIs耐药后的免疫治疗现状,包括ICIs单药、联合EGFR-TKIs、化疗、抗血管生成药物等治疗方法。
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引用次数: 0
Targeting HLA-E in Lung Cancer: The Therapeutic Potential of IRF5-Engineered M1-Macrophage-Derived Exosomes 靶向HLA-E治疗肺癌:irf5工程m1 -巨噬细胞来源外泌体的治疗潜力
IF 1.9 4区 医学 Q3 RESPIRATORY SYSTEM Pub Date : 2024-12-02 DOI: 10.1111/crj.70035
Xuqin Feng, Xiangyu Lai, Mingming Zhou, Jun Bie, Tingting Li, Dan Wang, Silin Chen, Xin Hu, Chunyu Wang, Peng Xu

Immunotherapy is a pivotal approach in the treatment of lung cancer. Although HLA-E is a potential target for tumor immunotherapy, its role in lung cancer remains unclear. Previous studies have identified the transcription factor IRF5 as a characteristic gene of M1-like macrophages, highlighting its crucial role in promoting antitumor immune responses. In this study, we developed an engineered M1-like macrophage exosomes expressing IRF5 (IRF5 M1-exos) and demonstrated their ability to inhibit proliferation, migration, and invasion of lung cancer cells. Moreover, our experiments using a nude mouse model revealed that IRF5 M1-exos exerted potent therapeutic effects by effectively suppressing tumor growth. Notably, the mechanism by which IRF5 exerts its antitumor function through HLA-E regulation in lung cancer has not been fully elucidated. Here, we identified HLA-E as a downstream target gene of IRF5 and demonstrated that the overexpression of HLA-E can counteract the tumor-promoting effects induced by si-IRF5 M1-exos. These results suggest that M1 macrophage-derived exosomes, enriched with the transcription factor IRF5, exhibit potent antitumor activity by up-regulating HLA-E in lung cancer cells. Therefore, IRF5 M1-exos represent an attractive therapeutic strategy for lung cancer.

免疫疗法是治疗肺癌的关键方法。尽管HLA-E是肿瘤免疫治疗的潜在靶点,但其在肺癌中的作用尚不清楚。先前的研究已经确定转录因子IRF5是m1样巨噬细胞的特征基因,强调了其在促进抗肿瘤免疫应答中的重要作用。在这项研究中,我们开发了一种表达IRF5的工程化m1样巨噬细胞外泌体(IRF5 M1-exos),并证明了它们抑制肺癌细胞增殖、迁移和侵袭的能力。此外,我们使用裸鼠模型的实验表明,IRF5 M1-exos通过有效抑制肿瘤生长而发挥了强大的治疗作用。值得注意的是,IRF5在肺癌中通过调节HLA-E发挥其抗肿瘤功能的机制尚未完全阐明。在这里,我们确定了HLA-E是IRF5的下游靶基因,并证明了HLA-E的过表达可以抵消si-IRF5 M1-exos诱导的促肿瘤作用。这些结果表明,M1巨噬细胞来源的外泌体富含转录因子IRF5,通过上调肺癌细胞中的HLA-E表现出强大的抗肿瘤活性。因此,IRF5 M1-exos代表了一种有吸引力的肺癌治疗策略。
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引用次数: 0
A Nomogram for Predicting Recurrence in Stage I Non-Small Cell Lung Cancer 预测 I 期非小细胞肺癌复发的提名图
IF 1.9 4区 医学 Q3 RESPIRATORY SYSTEM Pub Date : 2024-11-24 DOI: 10.1111/crj.70022
Rongrong Bian, Feng Zhao, Bo Peng, Jin Zhang, Qixing Mao, Lin Wang, Qiang Chen

Background

Early-stage non–small cell lung cancer (NSCLC) is being diagnosed increasingly, and in 30% of diagnosed patients, recurrence will develop within 5 years. Thus, it is urgent to identify recurrence-related markers to optimize the management of patient-tailored therapeutics.

Methods

The eligible datasets were downloaded from TCGA and GEO. In the discovery phase, two algorithms, least absolute shrinkage and selector operation and support vector machine-recursive feature elimination, were used to identify candidate genes. The recurrence-associated signature was developed by penalized Cox regression. The nomogram was constructed and further tested via other independent cohorts.

Results

In this retrospective study, 14 eligible datasets and 7 published signatures were included. A 13-gene based signature was generated by penalized Cox regression categorized training cohort into high-risk and low-risk subgroups (HR = 8.873, 95% CI: 4.228–18.480 p < 0.001). Furthermore, a nomogram integrating the recurrence-related signature, age, and histology was developed to predict the recurrence-free survival in the training cohort, which performed well in the two external validation cohorts (concordance index: 0.737, 95% CI: 0.732–0.742, p < 0.001; 0.666, 95% CI: 0.650–0.682, p < 0.001; 0.651, 95% CI: 0.637–0.665, p < 0.001, respectively). The nomogram was further performed well in the Jiangsu cohort enrolled 163 patients (HR = 2.723, 95% CI: 1.526–4.859, p = 0.001). Post-operative adjuvant therapy achieved evaluated disease-free survival in high and intermediate risk groups (HR = 4.791, 95% CI: 1.081–21.231, p = 0.039).

Conclusions

The proposed nomogram is a promising tool for estimating recurrence-free survival in stage I NSCLC, which might have tremendous value in management of early stage NSCLC and guiding adjuvant therapy strategies.

背景 早期非小细胞肺癌(NSCLC)的确诊率越来越高,30%的确诊患者会在5年内复发。因此,当务之急是确定与复发相关的标志物,以优化针对患者的治疗方案。 方法 从 TCGA 和 GEO 下载符合条件的数据集。在发现阶段,采用最小绝对收缩和选择器操作以及支持向量机递归特征消除两种算法来确定候选基因。复发相关特征是通过惩罚性 Cox 回归得出的。构建了提名图,并通过其他独立队列进行了进一步测试。 结果 在这项回顾性研究中,共纳入了 14 个符合条件的数据集和 7 个已发表的特征。通过惩罚性 Cox 回归生成了基于 13 个基因的特征,将训练队列分为高风险和低风险亚组(HR = 8.873,95% CI: 4.228-18.480 p <0.001)。此外,还开发了一个整合了复发相关特征、年龄和组织学的提名图,用于预测训练队列中的无复发生存率,该提名图在两个外部验证队列中表现良好(一致性指数:0.737,95% CI:0.737,95% CI:0.737):0.737, 95% CI: 0.732-0.742, p < 0.001; 0.666, 95% CI: 0.650-0.682, p < 0.001; 0.651, 95% CI: 0.637-0.665, p < 0.001)。该提名图在江苏队列的 163 例患者中进一步得到了良好的应用(HR = 2.723,95% CI:1.526-4.859,p = 0.001)。术后辅助治疗评估了高危和中危组的无病生存率(HR = 4.791,95% CI:1.081-21.231,P = 0.039)。 结论 所提出的提名图是估算 I 期 NSCLC 无复发生存率的一种有前途的工具,在早期 NSCLC 的管理和指导辅助治疗策略方面可能具有巨大价值。
{"title":"A Nomogram for Predicting Recurrence in Stage I Non-Small Cell Lung Cancer","authors":"Rongrong Bian,&nbsp;Feng Zhao,&nbsp;Bo Peng,&nbsp;Jin Zhang,&nbsp;Qixing Mao,&nbsp;Lin Wang,&nbsp;Qiang Chen","doi":"10.1111/crj.70022","DOIUrl":"https://doi.org/10.1111/crj.70022","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Early-stage non–small cell lung cancer (NSCLC) is being diagnosed increasingly, and in 30% of diagnosed patients, recurrence will develop within 5 years. Thus, it is urgent to identify recurrence-related markers to optimize the management of patient-tailored therapeutics.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>The eligible datasets were downloaded from TCGA and GEO. In the discovery phase, two algorithms, least absolute shrinkage and selector operation and support vector machine-recursive feature elimination, were used to identify candidate genes. The recurrence-associated signature was developed by penalized Cox regression. The nomogram was constructed and further tested via other independent cohorts.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>In this retrospective study, 14 eligible datasets and 7 published signatures were included. A 13-gene based signature was generated by penalized Cox regression categorized training cohort into high-risk and low-risk subgroups (HR = 8.873, 95% CI: 4.228–18.480 <i>p</i> &lt; 0.001). Furthermore, a nomogram integrating the recurrence-related signature, age, and histology was developed to predict the recurrence-free survival in the training cohort, which performed well in the two external validation cohorts (concordance index: 0.737, 95% CI: 0.732–0.742, <i>p</i> &lt; 0.001; 0.666, 95% CI: 0.650–0.682, <i>p</i> &lt; 0.001; 0.651, 95% CI: 0.637–0.665, <i>p</i> &lt; 0.001, respectively). The nomogram was further performed well in the Jiangsu cohort enrolled 163 patients (HR = 2.723, 95% CI: 1.526–4.859, <i>p</i> = 0.001). Post-operative adjuvant therapy achieved evaluated disease-free survival in high and intermediate risk groups (HR = 4.791, 95% CI: 1.081–21.231, <i>p</i> = 0.039).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The proposed nomogram is a promising tool for estimating recurrence-free survival in stage I NSCLC, which might have tremendous value in management of early stage NSCLC and guiding adjuvant therapy strategies.</p>\u0000 </section>\u0000 </div>","PeriodicalId":55247,"journal":{"name":"Clinical Respiratory Journal","volume":"18 11","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/crj.70022","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142707982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Highly Sensitive and Specific Panels of Plasma Exosomal microRNAs for Identification of Malignant Pulmonary Nodules 用于鉴定恶性肺结节的高灵敏度和特异性血浆外泌体 microRNA 小组。
IF 1.9 4区 医学 Q3 RESPIRATORY SYSTEM Pub Date : 2024-11-15 DOI: 10.1111/crj.70034
Rui Tao, Dandan Wang, Wenjing Pei, Yanfei Liu, Pengcheng Liu, Renming Li, Jiegou Xu, Jing Ye, Dahai Zhao
<div> <section> <h3> Objectives</h3> <p>With wide application of computed tomography (CT) in early lung cancer screening, solitary pulmonary nodules (SPNs) are frequently detected. Due to their high etiological diversity and potential for malignancy, rapid and accurate identification and malignant SPNs are crucial in the clinical management. In the present study, plasma exosomal microRNAs were identified and evaluated as sensitive and specific indicators for malignant SPNs.</p> </section> <section> <h3> Materials and Methods</h3> <p>Exosomal miRNAs isolated from the plasmas of pathologically confirmed patients with SPN (four malignant and four benign, designated as the screening set) were subjected for high throughput sequencing and eight candidate miRNAs were selected. The pre-operation plasma levels of the candidate miRNAs in 77 patients with SPN (48 malignant and 29 benign, designated as the identification set) were detected by quantitative PCR, five miRNAs were identified as potential biomarkers for malignant SPNs, and the diagnostic values of the five miRNAs each alone or combined were then analyzed by AUROC analysis. The prediction values of the identified miRNAs were further evaluated in 95 patients with SPN (double blind, 74 malignant and 21 benign, designated as the validation set).</p> </section> <section> <h3> Results</h3> <p>High-throughput sequencing identified 45 miRNAs with statistical differences between benign and malignant SPNs. Among the eight candidate miRNAs in the identification set, miR-1-3p alone had the best diagnostic value, with the sensitivities and specificities of 89.6% and 100% for malignant SPNs. Unexpectedly, when miR-1-3p was combined with miR-99a-5p, both the sensitivity and specificity reached 100% for malignant SPNs. miR-1-3p+miR-125b-5p and miR-1-3p+miR-218-5p were also good indicators of malignant SPNs with sensitivities of 95.8% and 97.9%, specificities of 100% and 96.6%. Further analysis of these microRNA combinations in the validation set indicated that the PPV were 91.4%, 97.4%, and 93.5% and the NPV were 100%, 100%, and 88.9% for miR-1-3p+miR-99a-5p, miR-1-3p+miR-218-5p, and miR-1-3p+miR-125b-5p, with the sensitivities were 100%, 100%, and 97.3% and the specificities were 66.7%, 90.5%, and 76.2% for miR-1-3p+miR-99a-5p, miR-1-3p+miR-218-5p, and miR-1-3p+miR-125b-5p, respectively.</p> </section> <section> <h3> Conclusions</h3> <p>Through high throughput sequencing, qPCR determination of plasma microRNAs and AUROC analysis, miR-1-3p combined with miR-99a-5p, miR-125b-5p, or miR-218-5p have been found to be
目的:随着计算机断层扫描(CT)在早期肺癌筛查中的广泛应用,单发肺结节(SPN)经常被发现。由于其病因的多样性和恶变的可能性,快速准确地识别恶性 SPN 对临床治疗至关重要。本研究对血浆外泌体microRNA进行了鉴定,并将其评估为恶性SPNs的敏感性和特异性指标:对从病理确诊的 SPN 患者(4 例恶性,4 例良性,称为筛选组)血浆中分离出的外泌体 miRNA 进行高通量测序,筛选出 8 个候选 miRNA。用定量 PCR 方法检测了 77 名 SPN 患者(48 名恶性和 29 名良性,称为鉴定集)手术前血浆中候选 miRNA 的水平,确定了 5 个 miRNA 作为恶性 SPN 的潜在生物标志物,然后用 AUROC 分析方法分析了这 5 个 miRNA 单独或组合的诊断价值。在95例SPN患者(双盲,74例恶性,21例良性,为验证集)中进一步评估了所鉴定的miRNA的预测价值:结果:高通量测序发现了45个在良性和恶性SPN之间存在统计学差异的miRNA。在鉴定集中的 8 个候选 miRNAs 中,miR-1-3p 单独具有最佳诊断价值,对恶性 SPN 的敏感性和特异性分别为 89.6% 和 100%。miR-1-3p+miR-125b-5p 和 miR-1-3p+miR-218-5p 也是恶性 SPN 的良好指标,敏感性分别为 95.8% 和 97.9%,特异性分别为 100% 和 96.6%。对验证集中的这些微RNA组合的进一步分析表明,miR-1-3p的PPV分别为91.4%、97.4%和93.5%,NPV分别为100%、100%和88.9%。9%,miR-1-3p+miR-99a-5p、miR-1-3p+miR-218-5p和miR-1-3p+miR-125b-5p的敏感性分别为100%、100%和97.3%,特异性分别为66.7%、90.5%和76.2%:通过高通量测序、血浆microRNAs的qPCR测定和AUROC分析,我们发现miR-1-3p与miR-99a-5p、miR-125b-5p或miR-218-5p在鉴定和验证组中都是恶性SPNs的敏感和特异指标。我们的研究结果表明,血浆 miRNA 可用作恶性 SPN 的诊断生物标志物。
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引用次数: 0
A Novel Scale for Diagnosis of Pulmonary Ground-Glass Nodules: A Multicenter and Ambispective Cohort Study 诊断肺磨玻璃结节的新型量表:一项多中心、前瞻性队列研究
IF 1.9 4区 医学 Q3 RESPIRATORY SYSTEM Pub Date : 2024-11-09 DOI: 10.1111/crj.70027
Minhao Yu, Yalin Cheng, Tao Wen, Liming Zhang, Xiubo Wei, Yonghong Wang, Jiang Du, GuangKe Xie, Lei Bi

Background

A screening tool was devised to aid the diagnosis and treatment of ground-glass nodules (GGNs).

Methods

The current ambispective cohort study included retrospective collation of 20 variables synthesizing a patient's clinical characteristics, serum tumor markers, and CT results, which allowed division into noninvasive (benign, atypical adenomatous hyperplasia, and adenocarcinoma in situ) and invasive (minimally invasive and invasive adenocarcinomas) tumors to build a prediction nomogram and GGN screening scale. The model was verified internally. A prospective cohort of patients was randomly divided by envelope method into those assessed by the GGN screening scale and those assessed via CT values. The diagnostic efficiencies were compared to allow external verification of the model.

Result

A total of 223 patients with 225 GGNs were recruited into the retrospective cohort between January 2021 and December 2022. Multivariable analysis showed sex, diameter, air bronchogram, and vessel convergence sign to be independent factors for prediction of noninvasive and invasive GGNs. Internal verification showed the model had a sensitivity of 70.7% and specificity of 75.0% with the Youden index at 0.457 and area under the curve (AUC) of 0.793 (95% CI: 0.734–0.852). Calibration curves indicated good internal stability (p = 0.357). Between January 2023 and March 2023, 147 patients with 148 GGNs were recruited into the prospective cohort. External verification showed the model had a sensitivity of 92.4% and specificity of 40.0% with the Youden index at 0.324 and AUC of 0.678 (95% CI: 0.509–0.847). Calibration curves indicated good external stability (p = 0.088). The scale was shown to have a sensitivity of 75.00%, specificity of 37.50%, positive predictive value of 91.53%, negative predictive value of 14.29%, and accuracy of 71.25%.

Conclusion

The GGN screening scale has high sensitivity and accuracy, making it suitable for diagnosis of GGNs.

背景:为帮助诊断和治疗磨玻璃结节(GGN),设计了一种筛查工具:我们设计了一种筛查工具来帮助诊断和治疗磨玻璃结节(GGNs):目前的前瞻性队列研究包括对患者的临床特征、血清肿瘤标志物和 CT 结果等 20 个变量进行回顾性整理,从而将肿瘤分为非侵袭性肿瘤(良性、非典型腺瘤性增生和原位腺癌)和侵袭性肿瘤(微侵袭性和侵袭性腺癌),以建立预测提名图和 GGN 筛查量表。该模型已经过内部验证。通过包络法将一组前瞻性患者随机分为通过 GGN 筛查量表评估的患者和通过 CT 值评估的患者。对诊断效率进行比较,以便对模型进行外部验证:结果:2021年1月至2022年12月期间,共有223名225个GGN的患者被纳入回顾性队列。多变量分析显示,性别、直径、气管造影和血管汇聚征是预测无创和有创 GGN 的独立因素。内部验证显示,该模型的灵敏度为 70.7%,特异度为 75.0%,尤登指数为 0.457,曲线下面积(AUC)为 0.793(95% CI:0.734-0.852)。校准曲线显示出良好的内部稳定性(p = 0.357)。2023 年 1 月至 2023 年 3 月期间,前瞻性队列招募了 147 名患者,其中有 148 名 GGN。外部验证显示,该模型的灵敏度为 92.4%,特异性为 40.0%,尤登指数为 0.324,AUC 为 0.678(95% CI:0.509-0.847)。校准曲线显示出良好的外部稳定性(p = 0.088)。该量表的灵敏度为 75.00%,特异度为 37.50%,阳性预测值为 91.53%,阴性预测值为 14.29%,准确度为 71.25%:GGN筛查量表具有较高的灵敏度和准确性,适用于GGN的诊断。
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引用次数: 0
期刊
Clinical Respiratory Journal
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