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Hou R, Xia W, Zhang C, Shao Y, Zhu X, Feng W, Zhang Q, Yu W, Fu X, Zhao J. Dosiomics and radiomics improve the prediction of post-radiotherapy neutrophil-lymphocyte ratio in locally advanced non-small cell lung cancer. Med Phys 2024; 51:650-661. [PMID: 37963229 DOI: 10.1002/mp.16829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 09/25/2023] [Accepted: 10/24/2023] [Indexed: 11/16/2023] Open
Abstract
PURPOSE To develop and validate a dosiomics and radiomics model based on three-dimensional (3D) dose distribution map and computed tomography (CT) images for the prediction of the post-radiotherapy (post-RT) neutrophil-to-lymphocyte ratio (NLR). METHODS This work retrospectively collected 242 locally advanced non-small cell lung cancer (LA-NSCLC) patients who were treated with definitive radiotherapy from 2012 to 2016. The NLR collected one month after the completion of RT was defined as the primary outcome. Clinical characteristics and two-dimensional dosimetric factors calculated from the dose-volume histogram (DVH) were included. A total of 4165 dosiomics and radiomics features were extracted from the 3D dose maps and CT images within five different anatomical regions of interest (ROIs), respectively. Then, a three-step feature selection method was proposed to progressively filter features from coarse to fine: (i) model-based ranking according to individual feature's performance, (ii) maximum relevance and minimum redundancy (mRMR), (iii) select from model based on feature importance calculated with an ensemble of several decision trees. The selected feature subsets were utilized to develop the prediction model with GBDT. All patients were divided into a development set and an independent testing set (2:1). Five-fold cross-validation was applied to the development set for both feature selection and model training procedure. Finally, a fusion model combining dosiomics, radiomics and clinical features was constructed to further improve the prediction results. The area under receiver operating characteristic curve (ROC) were used to evaluate the model performance. RESULTS The clinical-based and DVH-based models showed limited predictive power with AUCs of 0.632 (95% CI: 0.490-0.773) and 0.634 (95% CI: 0.497-0.771), respectively, in the independent testing set. The 9 feature-based dosiomics and 3 feature-based radiomics models showed improved AUCs of 0.738 (95% CI: 0.628-0.849) and 0.689 (95% CI: 0.566-0.813), respectively. The dosiomics & radiomics & clinical fusion model further improved the model's generalization ability with an AUC of 0.765 (95% CI: 0.656-0.874). CONCLUSIONS Dosiomics and radiomics can benefit the prediction of post-RT NLR of LA-NSCLC patients. This can provide a reference for evaluating radiotherapy-related inflammation.
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Affiliation(s)
- Runping Hou
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
- Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wuyan Xia
- Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chenchen Zhang
- Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yan Shao
- Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xueru Zhu
- Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wen Feng
- Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qin Zhang
- Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wen Yu
- Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaolong Fu
- Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jun Zhao
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
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Xian WJ, Feng YL, Wang Y, Yang M, Lu SN. Usefulness of 18F-fluorodeoxyglucose positron-emission tomography/computed tomography combined with the platelet-lymphocyte ratio in predicting the prognosis of nasopharyngeal carcinoma. Br J Radiol 2022; 95:20210279. [PMID: 34813375 PMCID: PMC8722261 DOI: 10.1259/bjr.20210279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
OBJECTIVES To investigate the value of 18F-fluorodeoxyglucose (FDG) positron-emission tomography (PET)/computed tomography (CT) combined with the platelet-lymphocyte ratio (PLR) in predicting the prognosis of nasopharyngeal carcinoma (NPC). METHODS This was a retrospective analysis of the data of 73 patients with NPC who underwent 18F-FDG PET/CT before treatment from January 2010 to December 2014. The maximum standard uptake value (SUVmax) of NPC and the PLR within 1 week before treatment were both measured. The Mann-Whitney U-test was used to compare the differences between the SUVmax and PLR among the different clinical characteristics of patients with NPC and the 5-year progression-free survival (PFS) rate; according to the receiver operating characteristic (ROC) curve, the best cutoff values of the SUVmax and PLR were obtained and used to group patients. The Kaplan-Meier method and Log-rank test were used to conduct univariate analysis of 5-year PFS in patients with NPC, and Cox regression was used to conduct multivariate analysis; differences in the 5-year PFS of patients with different SUVmax values combined with the PLR were compared. RESULTS The SUVmax and PLR of patients with disease progression within 5 years were higher than those of patients without disease progression (p = 0.006 and p = 0.026). SUVmax = 9.7 and PLR = 132.98 had the best prognostic diagnostic efficiency for patients. Cox multivariate analysis showed that the SUVmax and PLR are independent factors affecting the prognosis of NPC. The 5-year PFS of patients with SUVmax <9.7 was significantly higher than that of patients with SUVmax ≥9.7 in the high PLR group (PLR ≥132.98) and in the low PLR group (PLR <132.98) (59.3% vs 29.4%, p = 0.033 and 90.9% vs 42.9%, p = 0.006, respectively). For patients with SUVmax <9.7, the 5-year PFS of the high PLR group was significantly lower than the low PLR group (59.3% vs 90.9%, p = 0.016); for patients with SUVmax ≥9.7, there was no significant difference in 5-year PFS between the high PLR group and the low PLR group (29.4% vs 42.9%, p = 0.406). CONCLUSIONS Both the SUVmax of the primary tumor and the PLR before treatment have an important influence on the prognosis of NPC. Combining the SUVmax and the PLR can more accurately predict the prognosis of patients with NPC. ADVANCES IN KNOWLEDGE In this study, we evaluated the prognostic value of combining pretreatment tumor 18F-FDG uptake on PET/CT imaging and PLR in NPC patients. We found that both SUVmax and PLR are independent factors for the PFS of NPC patients, and a low SUVmax (SUVmax <9.7) combined with a low PLR (PLR <132.98) revealed significant PFS benefit.
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Affiliation(s)
- Wei jun Xian
- Department of Nuclear Medicine, The First People’s Hospital of Foshan, Foshan, China
| | - Yan lin Feng
- Department of Nuclear Medicine, The First People’s Hospital of Foshan, Foshan, China
| | - Ying Wang
- Department of Nuclear Medicine, The First People’s Hospital of Foshan, Foshan, China
| | - Ming Yang
- Department of Nuclear Medicine, The First People’s Hospital of Foshan, Foshan, China
| | - Sheng nan Lu
- Department of Nuclear Medicine, The First People’s Hospital of Foshan, Foshan, China
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Liu Q, Xi Y, He G, Li X, Zhan F. Dynamics of neutrophil-to-lymphocyte ratio predict outcomes of metastatic colorectal carcinoma patients treated by FOLFOX. J Gastrointest Oncol 2021; 12:2846-2853. [PMID: 35070412 PMCID: PMC8748028 DOI: 10.21037/jgo-21-716] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 12/06/2021] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Peripheral blood cell count is the most common clinical laboratory test. Neutrophil-to-lymphocyte ratio (NLR) as an economic marker has been reported in various cancer types. It is believed that NLR is associated with the prognosis and treatment outcomes of some cancers. Low baseline NLR has been reported as associated with better overall survival (OS) in advanced cancer patients. In this study, we aimed to determine whether the changes of NLR may predict the outcome of metastatic colorectal carcinoma (mCRC) patients treated with folinic acid, fluorouracil, and oxaliplatin (FOLFOX) combined with bevacizumab/cetuximab. METHODS The clinical data obtained from 128 mCRC patients between January 2014 and December 2018 were retrospectively analyzed. The NLR values of patients were calculated after 4 cycles of treatments. Kaplan-Meier analysis and Cox regression modeling were performed to assess the impact of NLR dynamics on OS and progression-free survival (PFS). RESULTS Among the 128 participants, the optimum pre-treatment NLR cutoff value was 3. A total of 70 (54.7%) participants had a pre-treatment of NLR lower than 3. The median of PFS was 9.1 months for NLR <3 compared with 6.1 months for pre-treatment NLR >3. A lower pre-treatment NLR was significantly associated with better PFS (P<0.001), but not associated with OS (P=0.064). A total of 94 (73.4%) participants had a post-treatment NLR <3, which was associated with better PFS and OS (P=0.007). However, changes in NLR significantly affected PFS and OS. Decrease in post-treatment NLR was associated with longer PFS and OS. Patients with changes from low pre-treatment NLR to high post-treatment NLR had worse OS and PFS than that of NLR changes from high to low. CONCLUSIONS It is not the NLR but the changes of NLR that may predict the efficacy of FOLFOX treatment in mCRC patients.
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Affiliation(s)
- Qian Liu
- Department of Clinical Laboratory, Changzhou Cancer Hospital, Soochow University, Changzhou, China
| | - Yanfeng Xi
- Department of Surgical Oncology, Changzhou Cancer Hospital, Soochow University, Changzhou, China
| | - Guangzhao He
- Department of Pharmacy, Changzhou Cancer Hospital, Soochow University, Changzhou, China
| | - Xiaoqian Li
- Department of Oncology, Changzhou Cancer Hospital, Soochow University, Changzhou, China
| | - Feng Zhan
- Department of Clinical Laboratory, Changzhou Cancer Hospital, Soochow University, Changzhou, China
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Biswas T, Gawdi R, Jindal C, Iyer S, Kang KH, Bajor D, Machtay M, Choi YM, Efird JT. Pretreatment neutrophil-to-lymphocyte ratio as an important prognostic marker in stage III locally advanced non-small cell lung cancer: confirmatory results from the PROCLAIM phase III clinical trial. J Thorac Dis 2021; 13:5617-5626. [PMID: 34795912 PMCID: PMC8575807 DOI: 10.21037/jtd-21-1018] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2021] [Accepted: 09/17/2021] [Indexed: 12/11/2022]
Abstract
Background Neutrophil-to-lymphocyte ratio (NLR) is an important pretreatment marker of systemic inflammation and tumor aggressiveness. Increased levels of this ratio have been associated with reduced survival in several observational studies of lung cancer. However, supporting analyses from large clinical trial data are lacking. Methods To validate the prognostic role of NLR, the current study evaluated data from a randomized phase III study (PROCLAIM; clinicaltrial.gov ID: NCT00686959) of patients with stage IIIA/B, unresectable, non-squamous, non-small cell lung cancer (NSCLC), originally comparing combination pemetrexed-cisplatin chemoradiotherapy with etoposide-cisplatin chemoradiotherapy. Adjusted hazard ratios (aHR) and 95% confidence intervals (CI) for survival were estimated using a Cox proportional hazards model. Models were adjusted for age, race, sex, stage, treatment, and body mass index (BMI). Patients were followed for a median of 24 months. Results Increased NLR levels at baseline were associated with reduced overall (PTrend <0.0001) and progression-free survival (PTrend <0.005). A similar but decreasing linear trend was not observed for lymphocytes count alone. Conclusions These findings provide substantiating evidence that NLR, which is routinely available from standard blood testing of patients diagnosed with NSCLC, is an important inflammation-based prognostic marker for survival among patients with locally advanced disease undergoing chemoradiation. Future research will benefit by assessing the prognostic potential of NLR in the context of genetic mutations and molecular markers.
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Affiliation(s)
- Tithi Biswas
- Department of Radiation Oncology, University Hospitals, Case Western Reserve University, Cleveland, OH, USA
| | - Rohin Gawdi
- Wake Forest School of Medicine, Winston-Salem, NC, USA
| | | | - Sharanya Iyer
- Department of Radiation Oncology, University Hospitals, Case Western Reserve University, Cleveland, OH, USA
| | - Kylie H Kang
- Department of Radiation Oncology, Washington University School of Medicine and Alvin J. Siteman Comprehensive Cancer Center, St. Louis, MO, USA
| | - David Bajor
- Medical Oncology, Seidman Cancer Center, Case Western Reserve University, Cleveland, OH, USA
| | - Mitchell Machtay
- Department of Radiation Oncology, Penn State University, Hershey, PA, USA
| | | | - Jimmy T Efird
- Cooperative Studies Program Epidemiology Center, Health Services Research and Development, DVAHCS, Durham, NC, USA
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Kanzaki H, Hamamoto Y, Nagasaki K, Kozuki T. Impact of neutrophil-to-lymphocyte ratio throughout the course of chemoradiotherapy on overall survival and distant failure in unresectable stage III non-small cell lung cancer. Jpn J Radiol 2021; 39:914-922. [PMID: 33999381 PMCID: PMC8413182 DOI: 10.1007/s11604-021-01129-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Accepted: 04/28/2021] [Indexed: 12/24/2022]
Abstract
Purpose Neutrophil-to-lymphocyte ratio (NLR) has been reported to be associated with treatment outcomes in various cancers; however, the optimal timing to measure NLR is unclear. In this study, “average-NLR” was newly devised, which reflects the NLR throughout the course of radiotherapy, and its usefulness was assessed for stage III non-small cell lung cancer (NSCLC) patients treated with chemoradiotherapy. Materials and methods A total of 111 patients who received definitive chemoradiotherapy for unresectable stage III NSCLC were reviewed. Patient/tumor-related factors, treatment-related, and NLR-related factors (average-NLR, pre- and post-radiotherapy NLR, NLR-nadir, NLR-maximum) were assessed using univariate and multivariate analyses. Results The median follow-up period was 43.8 months among the survivors. In the multivariate analysis, average-NLR and post-radiotherapy NLR were significant factors for the overall survival (OS) (p = 0.016 and 0.028) and distant failure (DF) (p = 0.008 and 0.040). For the patients with low, intermediate, and high average-NLR, the median OS was 41.2, 37.7, and 14.8 months, respectively, and the median DF free time was 52.5, 13.5, and 8.9 months, respectively. Conclusion Average-NLR and post-radiotherapy NLR were significant factors for the OS and DF. Average-NLR, which was available immediately after the completion of chemoradiotherapy, seemed to be helpful for treatment decisions.
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Affiliation(s)
- Hiromitsu Kanzaki
- Department of Radiation Oncology, National Hospital Organization Shikoku Cancer Center, Kou-160, Minami-umenomoto-machi, Matsuyama, Ehime, 791-0280, Japan.
| | - Yasushi Hamamoto
- Department of Radiation Oncology, National Hospital Organization Shikoku Cancer Center, Kou-160, Minami-umenomoto-machi, Matsuyama, Ehime, 791-0280, Japan
| | - Kei Nagasaki
- Department of Radiation Oncology, National Hospital Organization Shikoku Cancer Center, Kou-160, Minami-umenomoto-machi, Matsuyama, Ehime, 791-0280, Japan
| | - Toshiyuki Kozuki
- Department of Thoracic Oncology and Medicine, National Hospital Organization Shikoku Cancer Center, Kou-160, Minami-umenomoto-machi, Matsuyama, Ehime, 791-0280, Japan
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A Pilot Study Examining the Prognostic Utility of Tumor Shrinkage on Cone-Beam Computed Tomography (CBCT) for Stage III Locally Advanced Non-Small Cell Lung Cancer Patients Treated with Definitive Chemoradiation. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18063241. [PMID: 33801033 PMCID: PMC8004060 DOI: 10.3390/ijerph18063241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 03/15/2021] [Accepted: 03/17/2021] [Indexed: 11/29/2022]
Abstract
There has been growing interest in utilizing information from cone-beam computed tomography (CBCT) to help guide both treatment delivery and prognosis. In this assessment of locally advanced unresectable stage III non-small cell lung cancer (NSCLC) treated with definitive chemoradiation, we aimed to determine the survival advantage associated with using CBCT to measure tumor regression. Patient, tumor, and treatment characteristics were collected. The serial tumor shrinkage for each patient was determined from tumor volume contours on weekly CBCTs. Survival analysis was performed using the Kaplan–Meier technique and a Cox proportional hazards model. At least two-thirds of patients had a tumor volume reduction of at least 5% after each week of chemoradiation. A weekly reduction in tumor volume of 5% or greater seen on the CBCT images during radiation therapy was significantly associated with improved overall survival, which remained significant when adjusted for age, histology, grade, and T- and N-stages (p = 0.0036). Additionally, the presence of N3 disease was associated with a five-fold increased risk of recurrence (p = 0.0006) and a nearly three-fold increased risk of death (p = 0.053) compared with N0–N2 disease. Tumor volume shrinkage observed in the CBCT images during definitive chemoradiation holds promise as a prognostic indicator of stage III NSCLC, especially given its affordability, availability, and applicability. Further evaluation in a prospective fashion is warranted to validate the tumor volume shrinkage and its clinical utility.
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Biswas T, Kang KH, Gawdi R, Bajor D, Machtay M, Jindal C, Efird JT. Using the Systemic Immune-Inflammation Index (SII) as a Mid-Treatment Marker for Survival among Patients with Stage-III Locally Advanced Non-Small Cell Lung Cancer (NSCLC). INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:E7995. [PMID: 33143164 PMCID: PMC7662688 DOI: 10.3390/ijerph17217995] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Revised: 10/20/2020] [Accepted: 10/23/2020] [Indexed: 02/06/2023]
Abstract
The Systemic Immune-Inflammation Index (SII) is an important marker of immune function, defined as the product of neutrophil-to-lymphocyte ratio (NLR) and platelet count (P). Higher baseline SII levels have been associated with improved survival in various types of cancers, including lung cancer. Data were obtained from PROCLAIM, a randomized phase III trial comparing two different chemotherapy regimens pemetrexed + cisplatin (PEM) vs. etoposide + cisplatin (ETO), in combination with radiotherapy (RT) for the treatment of stage III non-squamous non-small cell lung cancer (NSCLC). We aimed to determine if SII measured at the mid-treatment window for RT (weeks 3-4) is a significant predictor of survival, and if the effect of PEM vs. ETO differs by quartile (Q) level of SII. Hazard-ratios (HR) for survival were estimated using a proportional hazards model, accounting for the underlying correlated structure of the data. A total of 548 patients were included in our analysis. The median age at baseline was 59 years. Patients were followed for a median of 24 months. Adjusting for age, body mass index, sex, race, and chemotherapy regimen, SII was a significant mid-treatment predictor of both overall (adjusted HR (aHR) = 1.6, p < 0.0001; OS) and progression-free (aHR = 1.3, p = 0.0072; PFS) survival. Among patients with mid-RT SII values above the median (6.8), those receiving PEM (vs. ETO) had superior OS (p = 0.0002) and PFS (p = 0.0002). Our secondary analysis suggests that SII is an informative mid-treatment marker of OS and PFS in locally advanced non-squamous NSCLC.
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Affiliation(s)
- Tithi Biswas
- Department of Radiation Oncology, University Hospitals, Case Western Reserve University, Cleveland, OH 44106, USA;
| | - Kylie H. Kang
- Department of Radiation Oncology, Washington University School of Medicine and Alvin J. Siteman Comprehensive Cancer Center, St. Louis, MO 63110, USA;
| | - Rohin Gawdi
- Wake Forest School of Medicine, Winston-Salem, NC 27101, USA;
| | - David Bajor
- Medical Oncology, Seidman Cancer Center, Case Western Reserve University, Cleveland, OH 44106, USA;
| | - Mitchell Machtay
- Department of Radiation Oncology, Penn State University, Hershey, PA 17033, USA;
| | - Charu Jindal
- Faculty of Science, University of Newcastle, Newcastle 2308, Australia;
| | - Jimmy T. Efird
- Cooperative Studies Program Epidemiology Center, Health Services Research and Development (DVAHCS/Duke Affiliated Center), Durham, NC 27705, USA
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Yang C, Wen HB, Zhao YH, Huang WH, Wang ZF, Li ZQ. Systemic Inflammatory Indicators as Prognosticators in Glioblastoma Patients: A Comprehensive Meta-Analysis. Front Neurol 2020; 11:580101. [PMID: 33117267 PMCID: PMC7575748 DOI: 10.3389/fneur.2020.580101] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2020] [Accepted: 08/31/2020] [Indexed: 12/16/2022] Open
Abstract
Background: Inflammation plays an important role in tumorigenesis. Previous studies have reported the prognostic value of several peripheral inflammatory markers in glioma patients, including the neutrophil-to-lymphocyte ratio (NLR). However, it still remains unclear whether inflammatory markers can independently predict the prognosis of glioblastoma (GBM) patients. The present study aims to explore the prognostic value of systemic inflammatory markers, including neutrophils, lymphocytes, platelets, the NLR, and the platelet-to-lymphocyte ratio (PLR), in patients with GBM. Methods: A comprehensive systemic search and review was performed using the PubMed, EMBASE, and Cochrane Library databases to identify all the relevant literature (published before June 30, 2020) that evaluated the association between any of these inflammatory markers and survival in GBM. Results: There were 2 (634 patients), 3 (723 patients), 2 (237 patients), 8 (1,225 patients), and 3 (505 patients) studies examining the correlation of survival with neutrophils, lymphocytes, platelets, the NLR, and the PLR, respectively. An elevated NLR and elevated neutrophil and platelet counts were associated with worse overall survival (OS) in GBM patients (NLR: hazard ratio [HR] = 1.63, 95% confidence interval [CI]: 1.23–2.15, p = 0.0007; neutrophil count: HR = 1.46, 95% CI:1.16–1.83, p = 0.001; platelet count: HR = 1.58, 95% CI: 1.42–1.77, p < 0.00001). However, there was no significant association between the PLR or the absolute lymphocyte count and OS in GBM patients. Conclusion: The NLR and the absolute neutrophil and platelet counts may be valuable and convenient peripheral inflammatory markers to evaluate the prognosis of GBM patients. Further prospective studies are needed to verify its reliability.
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Affiliation(s)
- Chao Yang
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Hong-Bin Wen
- Department of Neurology, Xiangyang Central Hospital, Xiangyang, China
| | - Yu-Hang Zhao
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Wen-Hong Huang
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Ze-Fen Wang
- Department of Physiology, School of Basic Medical Science, Wuhan University, Wuhan, China
| | - Zhi-Qiang Li
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
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Xia WY, Zhu XR, Feng W, Liu J, Wang JM, Lv CX, Zhang Q, Yu W, Cai XW, Fu XL. Neutrophil-lymphocyte ratio and platelet-lymphocyte ratio associations with heart and body dose and their effects on patient outcomes in locally advanced non-small cell lung cancer treated with definitive radiotherapy. Transl Lung Cancer Res 2020; 9:1996-2007. [PMID: 33209619 PMCID: PMC7653146 DOI: 10.21037/tlcr-20-831] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Background Inflammation plays a vital role in tumor growth and progression and can be affected by radiotherapy (RT) and chemotherapy. We sought to investigate the prognostic significance of neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR), and their associations with dosimetric factors in locally advanced non-small cell lung cancer (LA-NSCLC). Methods In this retrospective study, subjects consisted of 244 patients who had received definitive RT ± chemotherapy for LA-NSCLC between 2012 and 2016. Absolute lymphocyte count (ALC), NLR and PLR recorded at pretreatment, during RT and post-RT were analyzed. Multivariable analysis (MVA) was performed to correlate clinical factors and inflammatory biomarkers with progression-free survival (PFS) and overall survival (OS) using a Cox regression model. Relationships between NLR or PLR with OS and PFS were evaluated with Kaplan-Meier analysis and compared with log-rank test results. Multiple stepwise linear regression was used to assess the associations between dosimetric factors and NLR or PLR. Results The median PFS and OS for all patients were 8.6 and 15.8 months, respectively. On MVA for PFS and OS, higher 1-month post-RT start NLR [hazard ratio (HR) 1.049; 95% CI: 1.018–1.080; P=0.001] or higher 1-month post-RT start PLR (HR 1.001; 95% CI: 1.000–1.002; P<0.001) was associated with inferior PFS. Higher 1-month post-RT start NLR (HR 1.040; 95% CI: 1.013–1.069; P=0.004) or PLR (HR 1.001; 95% CI: 1.001–1.002; P<0.001) was also an independent predictor of OS. ALCmin, baseline NLR and PLR were not associated with treatment outcomes. Multiple stepwise linear regression analysis confirmed that baseline NLR (P<0.001), heart V20 (P<0.001), heart V40 (P<0.001), and mean body dose (MBD) were significantly associated with 1-month post-RT start NLR. Also, baseline PLR (P<0.001) and MBD (P<0.001) were significantly associated with 1-month post-RT start PLR. Conclusions Higher NLR and PLR during treatment were associated with worse patient outcomes, and heart dose or body dose was correlated with NLR or PLR in advanced NSCLC patients treated with definitive RT.
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Affiliation(s)
- Wu-Yan Xia
- Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Xue-Ru Zhu
- Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Wen Feng
- Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Jun Liu
- Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Jia-Ming Wang
- Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Chang-Xing Lv
- Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Qin Zhang
- Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Wen Yu
- Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Xu-Wei Cai
- Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Xiao-Long Fu
- Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
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Dynamic evaluation of neutrophil-to-lymphocyte ratio as prognostic factor in stage III non-small cell lung cancer treated with chemoradiotherapy. Clin Transl Oncol 2020; 22:2333-2340. [PMID: 32449125 DOI: 10.1007/s12094-020-02396-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Accepted: 05/12/2020] [Indexed: 12/19/2022]
Abstract
PURPOSE Locally advanced non-small cell lung cancer (LA-NSCLC) is frequently treated with chemoradiotherapy (CRT). Despite the efforts, long-term outcomes are poor, and novel therapies have been introduced to improve results. Biomarkers are needed to detect early treatment failure and plan future follow-up and therapies. Our aim is to evaluate the role of dynamics of neutrophil-to-lymphocyte ratio (NLR) in patients with locally advanced NSCLC treated with CRT. METHODS We retrospectively reviewed patients diagnosed with LA-NSCLC receiving definitive CRT at our center from 2010 to 2015. Baseline and post-treatment NLR were collected from our center database. NLR was dichotomized (threshold = 4) and patients were divided into two groups based on the variation from baseline to post-treatment NLR. The prognostic role and association with response were examined with logistic regression and multivariate Cox regression model, respectively. RESULTS Ninety-two patients were included. Our analysis shows that NLR after treatment is associated with response to treatment [OR in the multivariate analysis 4.94 (1.01-24.48); p value = 0.048]. Furthermore, NLR and ECOG are independent prognostic factors for progression-free survival (PFS) and overall survival (OS). Specifically, PFS was 25.79 months for the good prognosis group and 12.09 for the poor prognosis group [HR 2.98 (CI 95% = 1.74-5.10), p < 0.001]; and OS was 42.94 months and 18.86 months, respectively [HR 2.81 (CI 95% = 1.62-4.90), p < 0.001]. CONCLUSION Dynamics of NLR have a prognostic value in stage III NSCLC treated with definitive CRT. Pre- and post-CRT NLR should be evaluated in prospective clinical trials involving consolidation treatment with immunotherapy.
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Impact of neutrophil-to-lymphocyte ratio in patients with EGFR-mutant NSCLC treated with tyrosine kinase inhibitors. Invest New Drugs 2020; 38:885-893. [DOI: 10.1007/s10637-020-00919-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Accepted: 02/27/2020] [Indexed: 10/24/2022]
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Wang D, Guo D, Shi F, Zhu Y, Li A, Kong L, Teng F, Yu J. The predictive effect of the systemic immune-inflammation index for patients with small-cell lung cancer. Future Oncol 2019; 15:3367-3379. [PMID: 31424272 DOI: 10.2217/fon-2019-0288] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Aim: The purpose of this study was to investigate the predictive power of the systemic immune inflammation index (SII) based on neutrophil (N), platelet (P) and lymphocyte (L) on the clinical outcomes of patients with SCLC. Patients & methods: Blood samples of 228 patients were obtained 1 week before treatment to measure the SII (SII = P × N/L). Overall survival (OS) and progression-free survival (PFS) were estimated using the Kaplan-Meier curves and Cox regression models. Results: Higher SII was associated with poorer OS (p < 0.001) and poorer PFS (p < 0.001). Multivariable analyses further revealed SII as an independent prognostic factor for OS (p < 0.001) and PFS (p < 0.001). Conclusion: Pretreatment SII was a valuable prognostic factor for PFS and OS in SCLC patients.
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Affiliation(s)
- Duoying Wang
- Department of Clinical Medicine, Weifang Medical University, Weifang, PR China.,Department of Radiotherapy, Shandong Cancer Hospital & Institute, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, PR China
| | - Dong Guo
- Department of Radiotherapy, Shandong Cancer Hospital & Institute, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, PR China
| | - Fang Shi
- Department of Radiotherapy, Shandong Cancer Hospital & Institute, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, PR China
| | - Ying Zhu
- Department of Clinical Medicine, Weifang Medical University, Weifang, PR China
| | - Aijie Li
- Department of Clinical Medicine, Weifang Medical University, Weifang, PR China.,Department of Radiotherapy, Shandong Cancer Hospital & Institute, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, PR China
| | - Li Kong
- Department of Radiotherapy, Shandong Cancer Hospital & Institute, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, PR China
| | - Feifei Teng
- Department of Radiotherapy, Shandong Cancer Hospital & Institute, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, PR China
| | - Jinming Yu
- Department of Radiotherapy, Shandong Cancer Hospital & Institute, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, PR China
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Incorporation of the SUVmax Measured From FDG PET and Neutrophil-to-lymphocyte Ratio Improves Prediction of Clinical Outcomes in Patients With Locally Advanced Non-small-cell Lung Cancer. Clin Lung Cancer 2019; 20:412-419. [PMID: 31300364 DOI: 10.1016/j.cllc.2019.06.008] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2019] [Revised: 05/15/2019] [Accepted: 06/06/2019] [Indexed: 12/20/2022]
Abstract
INTRODUCTION The aim of the present study was to investigate the value of incorporation 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET) maximum standardized uptake value (SUVmax) and neutrophil-to-lymphocyte ratio (NLR) for improving prediction of clinical outcomes of patients with locally advanced non-small-cell lung cancer (LA NSCLC). MATERIALS AND METHODS We retrospectively enrolled 138 patients with unresectable LA NSCLC at our institution from July 2010 to August 2017. Spearman correlation analyses were used to estimate the correlations between SUVmax and NLR level. The univariate and multivariate Cox survival analyses were used to evaluate the prognostic indicators, including the incorporation of SUVmax and NLR. We defined the SUVmax and NLR grade (SNG = 0, 1, or 2) score as the number of risk factors among (1) SUVmax > 11.95 and (2) NLR > 3.82. The SNG score prognostic value was evaluated for overall survival (OS) and progression-free survival (PFS). RESULTS Univariate analysis showed that tumor stage, SUVmax, SUVmean, NLR, and SNG score were significantly associated with OS and PFS in patients with LA NSCLC. Kaplan-Meier analysis and log-rank test demonstrated significant differences in both OS and PFS among patients in SNG score (OS, P < .001; PFS, P < .001). Spearman correlation analyses showed that SUVmax had a correlation with the NLR (r = 0.237; P = .005). In subgroup analyses for patients with tumor pathologic stage IIIA/IIIB, we found that the SNG score was significantly associated with OS and PFS in each subgroup (P < .001, P < .001 for OS and P = .027, P < .001 for PFS, respectively). Multivariate analysis showed that the SNG score was a significantly independent prognostic factor for OS (hazard ratio, 1.612; 95% confidence interval, 1.157-2.246; P = .005) and PFS (hazard ratio, 2.241; 95% confidence interval, 1.486-3.379; P < .001). CONCLUSION Incorporation of the SUVmax and NLR improves prediction of clinical outcomes in patients with LA NSCLC.
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Guo M, Li W, Li B, Zou B, Wang S, Meng X, Sun X, Yu J, Wang L. Prognostic value of delta inflammatory biomarker-based nomograms in patients with inoperable locally advanced NSCLC. Int Immunopharmacol 2019; 72:395-401. [PMID: 31030095 DOI: 10.1016/j.intimp.2019.04.032] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Revised: 04/16/2019] [Accepted: 04/16/2019] [Indexed: 12/18/2022]
Abstract
OBJECTIVE Inflammation plays critical roles in tumor growth and progression, and can be adversely affected by chemotherapy and radiotherapy. However, there have been few studies on the prognostic value of delta (Δ) inflammatory biomarkers before and after chemoradiotherapy in patients with locally advanced non-small cell lung cancer (LA-NSCLC). METHODS In this study, pre/post-treatment and Δ inflammatory biomarkers of 370 patients who were diagnosed as having inoperable LA-NSCLC in Shandong Cancer Hospital between January 2005 and January 2016 were analyzed. Nomograms were then established for predicting prognosis. RESULTS Median overall survival (OS) and progression free survival (PFS) for all patients were 28.1 (range 1.9-129.0) months and 11.1 (range 1.7-58.7) months, respectively. The neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) significantly increased and the lymphocyte-to-monocyte ratio (LMR) significantly decreased during the concurrent chemoradiotherapy course (P < 0.001, P < 0.001, and P < 0.001, respectively). Multivariate analysis revealed that pre-LMR, ΔNLR, and minimum absolute lymphocyte counts were independent predictors of OS (P = 0.027, P = 0.012, and P = 0.015, respectively) and post-LMR, post-NLR, and ΔNLR were independent predictors of PFS (P = 0.014, P = 0.001, and P = 0.036, respectively). Nomograms for OS and PFS were established by combining all significant inflammatory markers and clinicopathological characteristics. The concordance indexes for OS and PFS were 0.709 and 0.688, respectively. CONCLUSION Post-treatment and Δ inflammatory biomarkers may have more prognostic significance than baseline measurements of inflammatory biomarkers in LA-NSCLC patients. The proposed nomograms based on the dynamic inflammatory biomarkers and clinicopathological factors may be practical and widely available for evaluating the prognosis of patients with inoperable LA-NSCLC.
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Affiliation(s)
- Meiying Guo
- Department of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong University, Shandong University, Jinan 250117, China
| | - Wanlong Li
- Department of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong University, Shandong University, Jinan 250117, China; Shandong Academy of Medical Sciences, Jinan 250001, China
| | - Butuo Li
- Department of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong University, Shandong University, Jinan 250117, China; Department of Radiation Oncology and Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin 300270, China
| | - Bing Zou
- Department of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong University, Shandong University, Jinan 250117, China; Shandong Academy of Medical Sciences, Jinan 250001, China
| | - Shijiang Wang
- Department of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong University, Shandong University, Jinan 250117, China; Shandong Academy of Medical Sciences, Jinan 250001, China
| | - Xue Meng
- Department of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong University, Shandong University, Jinan 250117, China; Shandong Academy of Medical Sciences, Jinan 250001, China
| | - Xindong Sun
- Department of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong University, Shandong University, Jinan 250117, China; Shandong Academy of Medical Sciences, Jinan 250001, China
| | - Jinming Yu
- Department of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong University, Shandong University, Jinan 250117, China; Shandong Academy of Medical Sciences, Jinan 250001, China.
| | - Linlin Wang
- Department of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong University, Shandong University, Jinan 250117, China; Shandong Academy of Medical Sciences, Jinan 250001, China.
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Zhang Y, Chen B, Wang L, Wang R, Yang X. Systemic immune-inflammation index is a promising noninvasive marker to predict survival of lung cancer: A meta-analysis. Medicine (Baltimore) 2019; 98:e13788. [PMID: 30653090 PMCID: PMC6370019 DOI: 10.1097/md.0000000000013788] [Citation(s) in RCA: 61] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND The prognostic value of pretreatment systemic immune-inflammation index (SII) in lung cancer has yet to be fully established. METHODS Relevant articles were obtained by performing a systematic search. Hazard ratios (HRs) and 95% confidence intervals (95% CIs) were used to assess the relationship between SII index and overall survival (OS) in lung cancer; the OS was calculated from the time of cancer diagnosis to the date of death due to any cause or to the last date of follow-up. RESULTS In total, 2786 patients with lung cancer from 7 studies were included in this meta-analysis. The median thresholds to define high SII was 640 (range 395.4-1600) in the analyzed studies. The pooled HR for OS was 1.77 (95% CI: 1.54-2.00, P < .001), suggesting that the patients with a high SII score had a worse OS. In addition, results from subgroup meta-analysis showed the significant prognostic significance of SII in lung cancer. Especially, the predictive value of SII was significant in the multivariable model for NSCLC (HR: 1.97, 95% CI: 1.69-2.25, P < .001; 5 studies, 1746 patients), and SCLC (HR: 1.38, 95% CI: 1.02-1.85, P < .001; 1 study, 919 patients). CONCLUSION Our data suggest that high SII index indicates poor survival rate in lung cancer. Further researches are warranted to verify the significance of SII index in clinical practice.
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Affiliation(s)
| | - Bo Chen
- Department of Cardiology, the First People's Hospital of Neijiang, Neijiang, Sichuan Province
| | - Lijuan Wang
- Department of Nephrology, Shangrao People's Hospital, Shangrao, Jiangxi Province, P. R. China
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Zhang Y, Feng YC, Zhu HG, Xiong TC, Hou YS, Song J, Jiang W, Zhu CJ. The peripheral blood neutrophil-to-lymphocyte ratio is a prognostic predictor for survival of EGFR-mutant nonsmall cell lung cancer patients treated with EGFR-TKIs. Medicine (Baltimore) 2018; 97:e11648. [PMID: 30045314 PMCID: PMC6078676 DOI: 10.1097/md.0000000000011648] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) are the standard first-line treatment for EGFR-mutant nonsmall cell lung cancer (NSCLC) patients. However, studies have reported that not all NSCLC patients harboring kinase domain mutations in epidermal growth factor receptor (EGFR) show significant clinical benefits from EGFR-targeted tyrosine kinase inhibitors (TKIs). Therefore, it is necessary to establish feasible biomarkers to predict the prognosis of EGFR-mutant NSCLC patients treated with EGFR-TKIs. This study aimed to determine biomarkers using inflammatory parameters from complete blood counts to predict the prognosis of EGFR-mutant NSCLC patients treated with EGFR-TKIs.We retrospectively investigated 127 stage IIIB/IV NSCLC patients with activating EGFR mutations who were treated with EGFR-TKIs. We used receiver operating characteristic (ROC) curves to determine the optimal cut-off for the inflammatory markers as prognostic factors. Additionally, univariate and multivariate analyses were used to identify prognostic factors for progression-free survival (PFS) and overall survival (OS) of EGFR-mutant NSCLC patients treated with EGFR-TKIs.The receiver operating characteristic analysis indicated that the lymphocyte-to-monocyte ratio (LMR) and neutrophil-to-lymphocyte ratio (NLR) cut-off values were 3.37 and 2.90, respectively. The univariate analysis showed that a high LMR (>3.37) and low NLR (≤2.90) were significantly correlated with long-term PFS and OS (LMR, P = .007; NLR, P < .001). The multivariate Cox regression analysis revealed that only low NLR was an independent prognostic factor for long-term PFS and OS (PFS, HR = 0.573, 95% CI: 0.340-0.964, P = .036; OS, HR = 0.491, 95% CI: 0.262-0.920, P = .026).The data show that a low NLR was a good prognostic factor in EGFR-mutant NSCLC patients receiving EGFR-TKIs treatment. Moreover, the NLR measurement has better prognostic value than LMR.
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Affiliation(s)
- Yuan Zhang
- Department of Cancer Researcher Institute
| | | | | | | | - Yan-Shen Hou
- Department of Anesthesiology, Affiliated Tumor Hospital, Xinjiang Medical University, Urumqi
| | - Jia Song
- Department of Cancer Researcher Institute
| | - Wei Jiang
- State Key Laboratory of Molecular Oncology, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Chang-Jun Zhu
- Tianjin Key Laboratory of Animal and Plant Resistance, College of Life Sciences
- Key Laboratory of Molecular and Cellular Systems Biology, Tianjin Normal University, Tianjin, China
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Russo A, Franchina T, Ricciardi GRR, Battaglia A, Scimone A, Berenato R, Giordano A, Adamo V. Baseline neutrophilia, derived neutrophil-to-lymphocyte ratio (dNLR), platelet-to-lymphocyte ratio (PLR), and outcome in non small cell lung cancer (NSCLC) treated with Nivolumab or Docetaxel. J Cell Physiol 2018; 233:6337-6343. [PMID: 29672849 PMCID: PMC6767577 DOI: 10.1002/jcp.26609] [Citation(s) in RCA: 83] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2018] [Accepted: 03/22/2018] [Indexed: 12/13/2022]
Abstract
Nivolumab is a novel therapeutic option in NSCLC, associated with a significant survival gain compared with Docetaxel. However, predictive biomarkers are lacking. The presence of systemic inflammation has been correlated with poor outcome in many cancer types. We aimed to evaluate whether there is a correlation between some indicators of inflammation and response to Nivolumab or Docetaxel in pre-treated NSCLCs. Data of 62 patients receiving Nivolumab or Docetaxel were analyzed. Baseline neutrophilia and thrombocytosis were not associated with response. High dNLR was associated with no response to Nivolumab, but not with Docetaxel, whereas high PLR correlated with low treatment response in both groups. Among refractory patients, a higher incidence of thrombocytosis, neutrophilia, high PLR, and high dNLR levels were observed compared with the overall population. This is one of the first reports in this field and suggests that indicators of inflammation might be included together with other predictive biomarkers in the baseline evaluation of patients candidate for immunotherapy.
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Affiliation(s)
- Alessandro Russo
- Medical Oncology Unit A.O. Papardo & Department of Human Pathology, University of Messina, Messina, Italy
| | - Tindara Franchina
- Medical Oncology Unit A.O. Papardo & Department of Human Pathology, University of Messina, Messina, Italy
| | - Giuseppina R R Ricciardi
- Medical Oncology Unit A.O. Papardo & Department of Human Pathology, University of Messina, Messina, Italy
| | - Alessandra Battaglia
- Medical Oncology Unit A.O. Papardo & Department of Human Pathology, University of Messina, Messina, Italy
| | - Antonino Scimone
- Medical Oncology Unit A.O. Papardo & Department of Human Pathology, University of Messina, Messina, Italy
| | - Rosa Berenato
- Medical Oncology Unit A.O. Papardo & Department of Human Pathology, University of Messina, Messina, Italy
| | - Antonio Giordano
- Department of Medicine, Surgery and Neuroscience, University of Siena and Istituto Toscano Tumori (ITT), Siena, Italy.,Sbarro Institute for Cancer Research and Molecular Medicine, Center for Biotechnology, College of Science and Technology, Temple University, Philadelphia, Pennsylvania
| | - Vincenzo Adamo
- Medical Oncology Unit A.O. Papardo & Department of Human Pathology, University of Messina, Messina, Italy
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