1
|
Hu X, Hu C, Liu X, Ma F, Xie J, Zhong P, Tang C, Fan D, Gao Y, Feng X, Ding M, Li D, Liu C. Tumor regression rate, PD-L1 expression, pembrolizumab/nab-paclitaxel-based regimens, squamous cell carcinoma, and comorbidities were independently associated with efficacy of neoadjuvant chemoimmunotherapy in non-small cell lung cancer. Front Oncol 2023; 12:1057646. [PMID: 36776373 PMCID: PMC9911863 DOI: 10.3389/fonc.2022.1057646] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 12/20/2022] [Indexed: 01/28/2023] Open
Abstract
Background Neoadjuvant chemoimmunotherapy (NCIO) is more effective than neoadjuvant immunotherapy alone for pathological response in non-small cell lung cancer (NSCLC) patients, but the processes for determining patient suitability for its implementation are not clear. We aimed to identify the most relevant factors and build a convenient model to select NSCLC patients who would benefit most from NCIO. Methods We retrospectively collected the clinical data of patients with locally advanced NSCLC who received NCIO followed by surgery at our institution between January 2019 and July 2022. Results A total of 101 eligible stage IIB-IIIC NSCLC patients were included. After NCIO, all patients successfully underwent surgical resection. A total of 46.53% (47/101) of patients achieved pathological complete response (pCR), and 70.30% (71/101) achieved major pathologic response (MPR). Tumor regression rate (adjusted odds ratio OR = 12.33), PD-L1 expression (adjusted odds ratio (OR) = 9.66), pembrolizumab/nab-paclitaxel-based regimens (adjusted OR = 4.92), and comorbidities (adjusted OR = 0.16) were independently associated with pCR rate (all P < 0.05). Tumor regression rate (adjusted OR = 8.45), PD-L1 expression (adjusted OR = 5.35), and presence of squamous cell carcinoma (adjusted OR = 7.02) were independently associated with MPR rate (all P < 0.05). We established and validated an easy-to-use clinical model to predict pCR (with an area under the curve [AUC] of 0.848) and MPR (with an AUC of 0.847). Of note, the present study showed that CD4+ T-cell count/rate and total cholesterol (TC) and high-density lipoprotein cholesterol (HDL-C) levels in the peripheral blood of pre-NCIO patients were also significantly correlated with pathological response in univariate analyses. Conclusions The tumor regression rate, PD-L1 expression, pembrolizumab/nab-paclitaxel-based regimens, presence of squamous cell carcinoma, and comorbidities were the main influential factors for incidence of pCR/MPR in patients with stage IIB-IIIC NSCLC in the present study. Through predictive models, we can predict who will benefit most from NCIO prior to the emergence of clinical outcomes in locally advanced NSCLC.
Collapse
Affiliation(s)
- Xingsheng Hu
- Department of Oncology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Chunhong Hu
- Department of Oncology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Xianling Liu
- Department of Oncology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Fang Ma
- Department of Oncology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Junpeng Xie
- Department of Oncology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Ping Zhong
- Department of Dermatology, North Sichuan Medical College Affiliated Nanchong Central Hospital, Nanchong, China
| | - Chenxi Tang
- Department of Nursing, North Sichuan Medical College Affiliated Nanchong Central Hospital, Nanchong, China
| | - Dan Fan
- Department of Oncology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Yuan Gao
- Department of Basic Science, Logan University, Chesterfield, MO, United States
| | - Xiang Feng
- Department of Oncology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Mengge Ding
- Department of Oncology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Dezhi Li
- Department of Oncology, The Fourth Affiliated Hospital of Zhejiang University School of Medicine, Yiwu, China
| | - Chaoyuan Liu
- Department of Oncology, The Second Xiangya Hospital of Central South University, Changsha, China,*Correspondence: Chaoyuan Liu,
| |
Collapse
|
2
|
Xuan J, Peng J, Wang S, Cai Y. Prognostic significance of Naples prognostic score in non-small-cell lung cancer patients with brain metastases. Future Oncol 2022; 18:1545-1555. [PMID: 35107367 DOI: 10.2217/fon-2021-1530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Aims: The authors aimed to evaluate the prognostic value of Naples prognostic score (NPS) in advanced non-small-cell lung cancer patients with brain metastases. Materials & methods: A total of 186 consecutive advanced non-small-cell lung cancer patients were retrospectively analyzed. Kaplan-Meier survival analysis and Cox proportional regression models were used to assess the significance of NPS in overall survival and disease-free survival. Results: Multivariate Cox proportional regression analysis revealed that NPS was a significant independent predictive indicator for overall survival (hazard ratio: 1.897; 95% CI: 1.184-3.041; p = 0.008) and disease-free survival (hazard ratio: 2.169; 95% CI: 1.367-3.44; p = 0.001). Conclusion: NPS was a powerful prognostic indicator for outcome in advanced non-small-cell lung cancer patients with brain metastases.
Collapse
Affiliation(s)
- Junmei Xuan
- Department of General medicine, Shaoxing People's Hospital, Shaoxing City, 312000, China
| | - Jianghua Peng
- Department of General medicine, Shaoxing People's Hospital, Shaoxing City, 312000, China
| | - Shuai Wang
- Department of Thoracic surgery, Yidu Central Hospital of Weifang, Weifang City, 261000, China
| | - Yaojie Cai
- Department of Neurology, Zhuji Affiliated Hospital of Shaoxing University, Shaoxing City, 312000, China
| |
Collapse
|