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Zheng X, Zhang L, Wu L, Zhao J, Sun J, Fang Y, Zhou J, Chu Q, Shen Y, Yang Z, Chen L, Huang M, Lin X, Liu Z, Shen P, Wang Z, Wang X, Wang H, Han Z, Liu A, Zhang H, Ye F, Gao W, Wu F, Song Z, Chen S, Zhou C, Wang Q, Xu C, Huang D, Zheng X, Miao Q, Jiang K, Xu Y, Wu S, Wang H, Zhang Q, Yang S, Li Y, Chen S, Lin G. Baseline C-reactive protein predicts efficacy of the first-line immune checkpoint inhibitors plus chemotherapy in advanced lung squamous cell carcinoma: a retrospective, multicenter study. BMC Cancer 2023; 23:1244. [PMID: 38104105 PMCID: PMC10725584 DOI: 10.1186/s12885-023-11737-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 12/10/2023] [Indexed: 12/19/2023] Open
Abstract
AIMS To investigate the predictive value of baseline C-reactive protein (CRP) levels on the efficacy of chemotherapy plus immune checkpoint inhibitors (ICI) in patients with advanced lung squamous cell carcinoma (LSCC). MATERIALS AND METHODS In this retrospective multicenter study spanning from January 2016 to December 2020, advanced LSCC patients initially treated with chemotherapy or a combination of chemotherapy and ICI were categorized into normal and elevated CRP subgroups. The relationship between CRP levels and treatment outcomes was analyzed using multivariate Cox proportional hazards models and multivariate logistic regression, focusing primarily on the progression-free survival (PFS) endpoint, and secondarily on overall survival (OS) and objective response rate (ORR) endpoints. Survival curves were generated using the Kaplan-Meier method, with the log-rank test used for comparison between groups. RESULTS Of the 245 patients evaluated, the 105 who received a combination of chemotherapy and ICI with elevated baseline CRP levels exhibited a significant reduction in PFS (median 6.5 months vs. 11.8 months, HR, 1.78; 95% CI: 1.12-2.81; p = 0.013) compared to those with normal CRP levels. Elevated CRP was identified as an independent risk factor for poor PFS through multivariate-adjusted analysis. However, among the 140 patients receiving chemotherapy alone, baseline CRP levels did not significantly influence PFS. Furthermore, within the combination therapy group, there was a notable decrease in the ORR (51% vs. 71%, p = 0.035), coupled with a significantly shorter OS (median 20.9 months vs. 31.5 months, HR, 2.24; 95% CI: 1.13-4.44; p = 0.033). CONCLUSION In patients with advanced LSCC, elevated baseline CRP levels were identified as an independent predictive factor for the efficacy of combination therapy with chemotherapy and ICI, but not in chemotherapy alone. This suggests that CRP may be a valuable biomarker for guiding treatment strategies.
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Affiliation(s)
- Xinlong Zheng
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Longfeng Zhang
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Lin Wu
- The Second Department of Thoracic Oncology, the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Changsha, China
| | - Jun Zhao
- Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Jianguo Sun
- Cancer Institute, Xinqiao Hospital, Army Medical University, Chongqing, China
| | - Yong Fang
- Department of Medical Oncology, Sir Run Run Shaw Hospital, Zhejiang University, Zhejiang, China
| | - Jin Zhou
- School of Medicine, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Qian Chu
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yihong Shen
- Department of Respiratory Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Zhenzhou Yang
- Department of Cancer Center, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Lijin Chen
- Department of Oncology, Affiliated Quanzhou First Hospital of Fujian Medical University, Quanzhou, China
| | - Meijuan Huang
- Department of Thoracic Oncology, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Xiaoyan Lin
- Department of Oncology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Zhenhua Liu
- Department of Medical Oncology, Provincial Clinical College, Fujian Medical University, Fujian provincial hospital, Fuzhou, China
| | - Peng Shen
- Department of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zhijie Wang
- Medical Oncology Department, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences, and Peking Union Medical College, Beijing, China
| | - Xin Wang
- Department of Oncology, Zhongshan Hospital of Xiamen University, Xiamen, China
| | - Huijuan Wang
- Department of Respiratory Medicine, the Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhengbo Han
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Anwen Liu
- Department of Oncology, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Hongmei Zhang
- Department of Oncology, Xijing Hospital, Airforce Military Medical University, Xian, Shanxi, China
| | - Feng Ye
- Department of Medical Oncology, Cancer Hospital, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Teaching Hospital of Fujian Medical University, Xiamen, China
| | - Wen Gao
- Department of Medical Oncology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiangsu, China
| | - Fang Wu
- Department of Oncology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Zhengbo Song
- Department of Clinical Trial, Cancer Hospital of the University of Chinese Academy of Sciences, Hangzhou, Zhejiang, China
| | - Shengchi Chen
- Department of Oncology, Nanping First Hospital Affiliated to Fujian Medical University, Nanping, China
| | - Chenzhi Zhou
- Respiratory Medicine Department, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Qian Wang
- Department of Respiratory Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Chunwei Xu
- Department of Respiratory Medicine, Affiliated Jinling Hospital, Medical School of Nanjing University Nanjing, Nanjing, Jiangsu, China
| | - Dingzhi Huang
- Department of Thoracic Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Xiaobin Zheng
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Qian Miao
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Kan Jiang
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Yiquan Xu
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Shiwen Wu
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Haibo Wang
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Qiuyu Zhang
- Institute of Immunotherapy, Fujian Medical University, Fuzhou, China
| | - Shanshan Yang
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Yujing Li
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Sihui Chen
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Gen Lin
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
- Fujian Key Laboratory of Advanced Technology for Cancer Screening and Early Diagnosis, Fuzhou, China.
- Interdisciplinary Institute for Medical Engineering, Fuzhou University, Fuzhou, China.
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Xu R, Xiao S, Ding Z, Zhao P. The Value of the C-Reactive Protein-to-Lymphocyte Ratio for Predicting Lymphovascular Invasion Based on Nutritional Status in Gastric Cancer. Technol Cancer Res Treat 2022; 21:15330338221106517. [PMID: 35695253 PMCID: PMC9201353 DOI: 10.1177/15330338221106517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Preoperative nutrition and inflammation are closely related to tumors (T). Many
hematological marker assessment tools comprise nutritional and systemic
inflammatory indexes, evaluating essential factors for cancer nutrition, growth,
and progression. This study retrospectively investigated whether the C-reactive
protein (CRP)-to-lymphocyte ratio (CLR) could predict lymphovascular invasion
(LVI) in gastric cancer (GC) patients based on their nutritional status. We
included 262 patients who underwent GC surgery between 2019 and 2020. The
patient's nutritional status was assessed using the Patient-Generated Subjective
Global Assessment (PG-SCA), and patients with scores ≥4 were classified as
malnourished. First, we examined 7 hematological marker combinations using
receiver operating characteristic (ROC) curves to determine which one best
predicted malnutrition. The CLR predicted malnutrition more accurately than
other ratios (area under the curve: 0.62, 95% confidence interval [CI]:
0.55-0.69, P = .002); the optimal cut-off value for
malnutrition was 1.04. Next, we evaluated the relationship between the 7
combinations and postoperative LVI. A CLR higher than 1.04 (odds ratio [OR]:
1.81, 95% CI: 1.09-3.00, P = .021) and a platelet-to-lymphocyte
ratio (PLR) higher than 129.00 (OR: 1.64, 95% CI: 1.00-2.67,
P = .049) were associated with LVI in the univariate analysis,
and the CLR was an independent predictor of LVI in the multivariate analysis
(OR: 1.73, 95% CI: 1.04-2.87, P = .036). The preoperative CLR
can assess nutritional status and independently predict LVI in GC.
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Affiliation(s)
- Rui Xu
- 92293Sichuan Cancer Hospital, Chengdu, Sichuan, P.R. China
| | - Shuomeng Xiao
- 92293Sichuan Cancer Hospital, Chengdu, Sichuan, P.R. China
| | - Zhi Ding
- 92293Sichuan Cancer Hospital, Chengdu, Sichuan, P.R. China
| | - Ping Zhao
- 92293Sichuan Cancer Hospital, Chengdu, Sichuan, P.R. China
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Huang ZZ, Wen W, Hua X, Song CG, Bi XW, Huang JJ, Xia W, Yuan ZY. Establishment and Validation of Nomogram Based on Combination of Pretreatment C-Reactive Protein/Albumin Ratio-EBV DNA Grade in Nasopharyngeal Carcinoma Patients Who Received Concurrent Chemoradiotherapy. Front Oncol 2021; 11:583283. [PMID: 34336633 PMCID: PMC8320887 DOI: 10.3389/fonc.2021.583283] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 06/29/2021] [Indexed: 12/26/2022] Open
Abstract
Background A higher ratio of pretreatment C-reactive protein/albumin ratio (CAR) is associated with poor prognosis in nasopharyngeal carcinoma (NPC), and Epstein–Barr virus (EBV) DNA level is known to not only participate in the occurrence of nasopharyngeal carcinoma but also affect the development and prognosis of the disease. Herein, we proposed that a combination of both these markers could improve the predictive prognostic ability. Methods In all, 842 NPC patients who received concurrent chemoradiotherapy (CCRT) were entered in this study. We collected all patients’ blood samples and EBV DNA copy numbers within one week before any treatment. Receiver operating characteristic (ROC) curve was used to determine the optimal cut-off. We employed the Kaplan–Meier method for survival analyses and the univariate and multivariate analyses (Cox proportional hazards regression model) for statistical analysis. A nomogram was constructed based on multivariate analyses results of the validation set. The model was internally validated using 1000 bootstrap samples to avoid overfitting. Another validation of 10-fold cross-validation was also applied. Calibration curves and concordance index (C-index) were calculated to determine predictive and discriminatory capacity. Results In the whole cohort, we observed that higher CAR, EBV DNA level, and CAR-EBV DNA (C-E) grade were associated with shorter overall survival (OS) and distant metastasis-free survival (DMFS) (all P<0.05). In univariate and multivariate analyses, C-E grade was an independent prognostic factor (all P<0.05). In the training set, we gained the similar results with the whole set. According to multivariate analyses of the training set, we constructed a nomogram. The results of bootstrap samples and 10-fold cross-validation showed favorable predictive efficacy. And calibration curves of the model provided credibility to its predictive capability. Conclusion C-E grade was confirmed as an independent prognostic predictor in patients with NPC who received CCRT. Higher level of pretreatment C-E grade could signify a higher risk of metastasis and shorter OS. The prognostic nomogram based on C-E grade was dependable in nasopharyngeal carcinoma patients.
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Affiliation(s)
- Zhang-Zan Huang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Wen Wen
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Xin Hua
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Chen-Ge Song
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Xi-Wen Bi
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Jia-Jia Huang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Wen Xia
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Zhong-Yu Yuan
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
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Yu J, Liu H, Zeng X, Zhao Y, Jiang D, Lu H, Qian J. Prognostic and clinicopathological significance of C-reactive protein/albumin ratio (CAR) in patients with gastric cancer: A meta-analysis. PLoS One 2021; 16:e0250295. [PMID: 33901218 PMCID: PMC8075248 DOI: 10.1371/journal.pone.0250295] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Accepted: 04/02/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND In recent years, many studies have explored the potential prognostic utility of C-reactive protein/albumin ratio (CAR) in patients with gastric cancer (GC), however, the results remain conflicting. We thus performed a meta-analysis to determine the association of CAR and prognosis of GC. METHODS This meta-analysis was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) Statement. PubMed, Web of science, Embase, and Cochrane Library were searched. Hazard ratios (HRs) and 95% confidence intervals (CIs) for overall survival (OS) and cancer-specific survival (CSS) of included studies were pooled to estimate the prognostic value of CAR. RESULTS Eight studies with a total of 3,216 patients were included in this meta-analysis. High CAR was significantly associated with poor OS (HR = 1.59, 95%CI = 1.36-1.85, p<0.001) and worse CSS (HR = 1.65, 95%CI = 1.21-2.25, p = 0.002). In addition, high CAR was significantly associated with male sex (OR = 1.80, 95%CI = 1.31-2.47, p<0.001), advanced tumor stage (OR = 2.14, 95%CI = 1.48-3.09, p<0.001), and tumor size ≥3cm (OR = 2.69, 95%CI = 1.84-3.93, p<0.001). CONCLUSION Elevated pretreatment CAR is a prognostic marker of poor OS and CSS in patients with GC. Furthermore, high CAR levels are associated with clinicopathological features reflecting tumor progression.
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Affiliation(s)
- Junhua Yu
- Department of General Surgery, The Quzhou Affiliated Hospital of Wenzhou Medical University, People’s Hospital of Quzhou, Quzhou, Zhejiang, China
| | - Huiling Liu
- Department of Pharmacy, Zhejiang Quhua Hospital, Quzhou, Zhejiang, China
| | - Xueyun Zeng
- Department of General Surgery, The Quzhou Affiliated Hospital of Wenzhou Medical University, People’s Hospital of Quzhou, Quzhou, Zhejiang, China
| | - Yujun Zhao
- Department of General Surgery, The Quzhou Affiliated Hospital of Wenzhou Medical University, People’s Hospital of Quzhou, Quzhou, Zhejiang, China
| | - Dejun Jiang
- Department of General Surgery, The Quzhou Affiliated Hospital of Wenzhou Medical University, People’s Hospital of Quzhou, Quzhou, Zhejiang, China
| | - Hang Lu
- Department of General Surgery, The Quzhou Affiliated Hospital of Wenzhou Medical University, People’s Hospital of Quzhou, Quzhou, Zhejiang, China
| | - Jun Qian
- Department of General Surgery, The Quzhou Affiliated Hospital of Wenzhou Medical University, People’s Hospital of Quzhou, Quzhou, Zhejiang, China
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