周一“星”视角|整合模型预测IIIA期NSCLC对新辅助免疫疗法的反应;隐匿性淋巴结阳性的临床IA期肺癌患者行肺段切除术的结局

学术   科学   2024-06-24 20:20   四川  



  本期胸小星将为大家带来整合模型预测IIIA期NSCLC对新辅助免疫疗法的反应;隐匿性淋巴结阳性的临床IA期肺癌患者行肺段切除术的结局,一起来看看吧!

2017·EATTS 

01

Predicting therapeutic response to neoadjuvant immunotherapy based on an integration model in resectable stage IIIA (N2) non–small cell lung cancer

Long Xu1, Haojie Si1, Fenghui Zhuang1, Chongwu Li1, Lei Zhang1, Yue Zhao1, Tao Chen1, Yichen Dong1, Tingting Wang2, Likun Hou3, Tao Hu4, Tianlin Sun4, Yunlang She1, Xuefei Hu1, Dong Xie1, Junqi Wu1, Chunyan Wu3, Deping Zhao5, Chang Chen6

1 Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.

2 Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China.

3 Department of Pathology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.

4 Department of Medicine, Amoy Diagnostics Co, Ltd, Xiamen, China.

5 Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China. 

6 Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.

 

Objective: 

Accurately predicting response during neoadjuvant chemoimmunotherapy for resectable non–small cell lung cancer remains clinically challenging. In this study, we investigated the effectiveness of blood-based tumor mutational burden (bTMB) and a deep learning (DL) model in predicting major pathologic response (MPR) and survival from a phase 2 trial.


Methods: 

Blood samples were prospectively collected from 45 patients with stage IIIA (N2) non–small cell lung cancer undergoing neoadjuvant chemoimmunotherapy. An integrated model, combining the computed tomography–based DL score, bTMB, and clinical factors, was developed to predict tumor response to neoadjuvant chemoimmunotherapy.


Results: 

At baseline, bTMB were detected in 77.8% (35 of 45) of patients. Baseline bTMB ≥11 mutations/megabase was associated with significantly greater MPR rates (77.8% vs 38.5%, P = 0.042), and longer disease-free survival (P = 0.043), but not overall survival (P = 0.131), compared with bTMB <11 mutations/megabase in 35 patients with bTMB available. The developed DL model achieved an area under the curve of 0.703 in all patients. Importantly, the predictive performance of the integrated model improved to an area under the curve of 0.820 when combining the DL score with bTMB and clinical factors. Baseline circulating tumor DNA (ctDNA) status was not associated with pathologic response and survival. Compared with ctDNA residual, ctDNA clearance before surgery was associated with significantly greater MPR rates (88.2% vs 11.1%, P < 0.001) and improved disease-free survival (= 0.010).


Conclusion: 

The integrated model shows promise as a predictor of tumor response to neoadjuvant chemoimmunotherapy. Serial ctDNA dynamics provide a reliable tool for monitoring tumor response.


[CITATION]: Xu L, Si H, Zhuang F, et al Predicting therapeutic response to neoadjuvant immunotherapy based on an integration model in resectable stage IIIA (N2) non-small cell lung cancer. J Thorac Cardiovasc Surg. 2024 May 17:S0022-5223(24)00437-9.

[DOI]: 10.1016/j.jtcvs.2024.05.006.

[IF]: 4.9

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基于整合模型预测可切除IIIA(N2)期非小细胞肺癌对新辅助免疫疗法的治疗反应

胸“星”外科学术团队兴趣小队成员 刘宋杰 


目的

准确预测可切除非小细胞肺癌对新辅助化学免疫疗法的治疗反应在临床上仍具有挑战性。本研究基于血液的肿瘤突变负荷(blood-based tumor mutational burden, bTMB)和深度学习(deep learning, DL)模型研究了其在预测II期试验中主要病理反应(major pathologic response, MPR)和生存率方面的有效性。

方法

本研究前瞻性地收集45例接受新辅助化学免疫治疗的IIIA(N2)期非小细胞肺癌患者的血液样本。结合基于计算机断层扫描的DL评分、bTMB和临床因素,开发了一个整合模型以预测肿瘤对新辅助化学免疫疗法的治疗反应。

结果

基线时,77.8%(45例中的35例)的患者检测到bTMB。在35名有bTMB数据的患者中,与bTMB<11个突变/百万碱基相比,基线时≥11个突变/百万碱基与更高的MPR率(77.8%vs38.5%,P = 0.042)和更长的无病生存(P = 0.043)显著相关,但与总体生存无关(P = 0.131)。开发的DL模型中所有患者的曲线下面积达到0.703。值得注意的是,将DL分数与bTMB和临床因素相结合时,整合模型的曲线下面积提高到0.820。基线循环肿瘤DNA(circulating tumor DNA, ctDNA)状态与病理反应和生存均无关。与ctDNA残留相比,术前ctDNA清除与更高的MPR率(88.2%vs11.1%,P < 0.001)和无病生存改善(P = 0.010)相关。

结论

该整合模型在预测肿瘤对新辅助化学免疫疗法的反应方面具有潜力。连续的ctDNA动态变化为监测肿瘤反应提供了一个可靠的工具。

Figure 3. Predictive performance of DL and integration model for predicting MPR.


Figure 5. bTMB and DL model is a promising predictor of neoadjuvant immunotherapy, and tumor response may be well monitored by ctDNA dynamics.

2017·EATTS 

02

Outcomes of Patients Undergoing Segmentectomy for Occult Node-Positive Clinical Stage IA Lung Cancer

Tamar B Nobel1, Kay See Tan2, Prasad S Adusumilli1, Manjit S Bains1, Robert J Downey1, Katherine Gray1, James Huang1, James M Isbell1, Daniela Molena1, Bernard J Park1, Gaetano Rocco1, Valerie W Rusch1, Smita Sihag1, David R Jones1, Matthew J Bott3

1Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.

2Biostatics Division, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY.

3Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.


Background: 

Results of recent clinical trials suggest segmentectomy may be an acceptable alternative to lobectomy for selected patients with early-stage non-small cell lung cancer (NSCLC). Increased use of segmentectomy may result in a concomitant increase in occult node-positive (N+) disease on surgical pathology. The optimal management for such patients remains unknown.


Metheds: 

Clinicopathologic data were abstracted from a prospective institutional database to identify patients with pathologic N+ disease after segmentectomy for cT1N0M0 NSCLC. Propensity score matching identified a comparable lobectomy cohort for assessment of cumulative incidence of recurrence and overall survival (OS).


Results: 

Of 759 included patients, 27 (4%) had nodal upstaging on final pathology. Of these, 4 (15%) had skip metastasis to N2 stations, and 20 (74%) received adjuvant therapy; no completion lobectomies were performed. Ten patients (37%) had recurrence: 3 isolated locoregional (11%) and 7 distant (26%). The median time to recurrence among patients with recurrence was 1.8 years; OS after recurrence was 3.4 years. After 5:1 matching with 109 lobectomy patients, all variables were balanced between the groups, except pathologic N2 stage and open surgical approach. Five-year cumulative incidence of recurrence was not significantly different between segmentectomy and lobectomy (42% vs 52%; Gray’s P=0.1). Five-year OS (63% and 50%) and rate of locoregional recurrence (12% vs. 13%) were not statistically different between the groups.


Conclusions: 

Patients with occult N+ disease after segmentectomy for cT1N0M0 NSCLC had limited isolated locoregional recurrences and similar outcomes as patients who underwent lobectomy. Lobectomy may not provide an advantage in these patients.


[CITATION]: Nobel TB, Tan KS, Adusumilli PS, et al. Outcomes of Patients Undergoing Segmentectomy for Occult Node-Positive Clinical Stage IA Lung Cancer. Ann Thorac Surg. 2024 Jun 10:S0003-4975(24)00448-X.

[DOI]: 10.1016/j.athoracsur.2024.05.031

[IF]: 4.6

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隐匿性淋巴结阳性的临床IA期肺癌患者行肺段切除术的结局

胸“星”外科学术团队兴趣小队成员 孙可蒙 译


背景

近期临床试验结果表明,对于特定的早期非小细胞肺癌(non-small cell lung cancer, NSCLC)患者,肺段切除术可能是肺叶切除术的可接受替代方案。肺段切除术应用的增加可能会伴随术后病理为隐匿性淋巴结阳性(N+)病变的增加对于此类患者的最佳治疗方案尚不明确。

方法

本研究从前瞻性机构数据库中提取临床病理数据,以确定cT1N0M0NSCLC肺段切除术后病理N+的患者。使用倾向评分匹配确定一个可比的肺叶切除术队列,以评估累积复发率和总体生存(overall survival, OS

结果

在纳入的759患者中,274%患者的最终病理淋巴结分期上调其中415%发生N2跳跃转移,2074%)接受辅助治疗未行完全性肺叶切除术。10患者(37%)复发其中,孤立局部复发3例(11%远处转移7例(26%)。复发患者中位复发时间为1.8复发后的OS3.4年。109例行肺叶切除术患者进行5:1匹配后,除病理N2期和开放手术方式外,所有变量在组间均保持平衡。肺段切除术与肺叶切除术组的5年累积复发率无显著差异(42% vs 52%Gray's P = 0.1)。两组间的5OS63% vs 50%)和局部区域复发率(12% vs 13%无统计学差异。

结论

cT1N0M0NSCLC肺段切除术后N+患者的孤立性局部复发有限,其结局肺叶切除术患者相似。肺叶切除术在这些患者中可能不具优势。

Table 3. Univariable and multivariable Cox models for overall survival in the propensity score matched cohort


Table 4. Univariable and multivariable competing risk regression models for recurrence in the propensity score matched cohort


Figure 1. Comparison of outcomes between lobectomy and segmentectomy in the propensity score matched cohort. (A) Overall survival. (B) Cumulative incidence of recurrence.

2017·EATTS 



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