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Ma S, Wang L. Fibrinogen-to-albumin ratio (FAR) is the best biomarker for the overall survival of patients with non-small-cell lung cancer. Front Oncol 2024; 14:1396843. [PMID: 38978733 PMCID: PMC11228243 DOI: 10.3389/fonc.2024.1396843] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Accepted: 05/29/2024] [Indexed: 07/10/2024] Open
Abstract
Objective The inflammatory response and the nutritional status are associated with overall survival (OS) in patients with non-small cell lung cancer (NSCLC), but it is unclear which biomarkers are better suited to predict prognosis. This study sought to determine which of the commonly existing inflammatory and nutritional indicators best predicted the OS. Methods This study included 15 compound indicators based on inflammation or nutrition, with cutoff points obtained through the receiver operating characteristic (ROC) curve. Univariate and multivariate Cox proportional risk models were used to evaluate the relationship between these predictors and OS. Kaplan-Meier curves were used for survival analysis, and log-rank tests were used to compare differences between groups. The C-index was calculated to evaluate the predictive ability of the different indicators. Results The study included 899 patients with NSCLC. In the univariate analysis, all 15 measures were significantly associated with the OS of patients (all p < 0.05). The results of the C-index analysis showed that the fibrinogen-to-albumin ratio (FAR), the systemic immune-inflammation index (SII), and the albumin-to-alkaline phosphatase ratio (AAPR) were the three indices with the best predictive performance. Among them, FAR (C-index = 0.639) had the best predictive power for OS in patients with NSCLC. In the different subgroups, FAR had the highest C-index in male, non-smoking, adenocarcinoma, and stage II patients. The C-index of the platelet-to-lymphocyte ratio (PLR) in female patients was the highest. SII was the highest in smokers, in those aged <65 and ≥65 years, and in stage III patients. The C-index of AAPR was the highest in non-adenocarcinomas. The C-index of the pan-immune-inflammation value (PIV) was the highest in stage I patients. In the multivariate Cox regression analysis, among FAR, SII, and AAPR, only FAR was an independent predictor of OS in patients with NSCLC. A high FAR was associated with a higher risk of death in patients with NSCLC (HR = 1.601, 95% CI = 1.028-2.495). In order to further evaluate the potential prognostic value of FAR, SII, and AAPR in patients with different stages, Cox regression analysis was performed for those with stage I-II and stage III NSCLC. The results showed that FAR was an independent prognostic factor for OS in patients with stage I-II NSCLC. Conclusion For all patients with NSCLC, the prognostic power of FAR was superior to that of other inflammatory and nutritional indicators.
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Affiliation(s)
- Shixin Ma
- Graduate School, Dalian Medical University, Dalian, Liaoning, China
- Department of Thoracic Surgery, Qingdao Municipal Hospital, Qingdao, Shandong, China
| | - Lunqing Wang
- Department of Thoracic Surgery, Qingdao Municipal Hospital, Qingdao, Shandong, China
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Park J, Kym D, Hur J, Yoon J, Kim M, Cho YS, Chun W, Yoon D. A deep dive into burn-mediated ARDS severity assessment: a retrospective study on hematological markers. Sci Rep 2024; 14:12873. [PMID: 38834610 DOI: 10.1038/s41598-024-62235-4] [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: 12/14/2023] [Accepted: 05/15/2024] [Indexed: 06/06/2024] Open
Abstract
Acute Respiratory Distress Syndrome (ARDS) is a critical form of Acute Lung Injury (ALI), challenging clinical diagnosis and severity assessment. This study evaluates the potential utility of various hematological markers in burn-mediated ARDS, including Neutrophil-to-Lymphocyte Ratio (NLR), Mean Platelet Volume (MPV), MPV-to-Lymphocyte Ratio (MPVLR), Platelet count, and Platelet Distribution Width (PDW). Employing a retrospective analysis of data collected over 12 years, this study focuses on the relationship between these hematological markers and ARDS diagnosis and severity in hospitalized patients. The study establishes NLR as a reliable systemic inflammation marker associated with ARDS severity. Elevated MPV and MPVLR also emerged as significant markers correlating with adverse outcomes. These findings suggest these economical, routinely measured markers can enhance traditional clinical criteria, offering a more objective approach to ARDS diagnosis and severity assessment. Hematological markers such as NLR, MPV, MPVLR, Platelet count, and PDW could be invaluable in clinical settings for diagnosing and assessing ARDS severity. They offer a cost-effective, accessible means to improve diagnostic accuracy and patient stratification in ARDS. However, further prospective studies are necessary to confirm these findings and investigate their integration with other diagnostic tools in diverse clinical settings.
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Affiliation(s)
- Jeongsoo Park
- Department of Surgery and Critical Care, Burn Center, Hangang Sacred Heart Hospital, Hallym University Medical Center, College of Medicine, Hallym University, 12, Beodeunaru-ro 7-gil, Yeongdeungpo-gu, Seoul, 07247, Korea
| | - Dohern Kym
- Department of Surgery and Critical Care, Burn Center, Hangang Sacred Heart Hospital, Hallym University Medical Center, College of Medicine, Hallym University, 12, Beodeunaru-ro 7-gil, Yeongdeungpo-gu, Seoul, 07247, Korea.
- Burn Institutes, Hangang Sacred Heart Hospital, Hallym University Medical Center, 12, Beodeunaru-ro 7-gil, Youngdeungpo-gu, Seoul, 07247, Korea.
| | - Jun Hur
- Department of Surgery and Critical Care, Burn Center, Hangang Sacred Heart Hospital, Hallym University Medical Center, College of Medicine, Hallym University, 12, Beodeunaru-ro 7-gil, Yeongdeungpo-gu, Seoul, 07247, Korea.
- Burn Institutes, Hangang Sacred Heart Hospital, Hallym University Medical Center, 12, Beodeunaru-ro 7-gil, Youngdeungpo-gu, Seoul, 07247, Korea.
| | - Jaechul Yoon
- Department of Surgery and Critical Care, Burn Center, Hangang Sacred Heart Hospital, Hallym University Medical Center, College of Medicine, Hallym University, 12, Beodeunaru-ro 7-gil, Yeongdeungpo-gu, Seoul, 07247, Korea
| | - Myongjin Kim
- Department of Surgery and Critical Care, Burn Center, Hangang Sacred Heart Hospital, Hallym University Medical Center, College of Medicine, Hallym University, 12, Beodeunaru-ro 7-gil, Yeongdeungpo-gu, Seoul, 07247, Korea
| | - Yong Suk Cho
- Department of Surgery and Critical Care, Burn Center, Hangang Sacred Heart Hospital, Hallym University Medical Center, College of Medicine, Hallym University, 12, Beodeunaru-ro 7-gil, Yeongdeungpo-gu, Seoul, 07247, Korea
- Burn Institutes, Hangang Sacred Heart Hospital, Hallym University Medical Center, 12, Beodeunaru-ro 7-gil, Youngdeungpo-gu, Seoul, 07247, Korea
| | - Wook Chun
- Department of Surgery and Critical Care, Burn Center, Hangang Sacred Heart Hospital, Hallym University Medical Center, College of Medicine, Hallym University, 12, Beodeunaru-ro 7-gil, Yeongdeungpo-gu, Seoul, 07247, Korea
- Burn Institutes, Hangang Sacred Heart Hospital, Hallym University Medical Center, 12, Beodeunaru-ro 7-gil, Youngdeungpo-gu, Seoul, 07247, Korea
| | - Dogeon Yoon
- Burn Institutes, Hangang Sacred Heart Hospital, Hallym University Medical Center, 12, Beodeunaru-ro 7-gil, Youngdeungpo-gu, Seoul, 07247, Korea
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Chen WH, Shao JJ, Yang Y, Meng Y, Huang S, Xu RF, Liu JB, Chen JG, Wang Q, Chen HZ. Prognostic significance of systemic immune inflammatory index in NSCLC: a meta-analysis. Lung Cancer Manag 2024; 13:LMT67. [PMID: 38812771 PMCID: PMC11131347 DOI: 10.2217/lmt-2023-0010] [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] [Received: 09/11/2023] [Accepted: 01/29/2024] [Indexed: 05/31/2024] Open
Abstract
Aim: The aim of this meta-analysis was to investigate the relationship between the baseline systemic immune inflammatory index (SII) and prognosis in patients with NSCLC. Materials & methods: The relation between pretreatment SII and overall survival, disease-free survival, cancer-specific survival, progression-free survival and recurrence-free survival in NSCLC patients was analyzed combined with hazard ratio and 95% CI. Results: The results showed that high SII was significantly correlated with overall survival and progression-free survival of NSCLC patients, but not with disease-free survival, cancer-specific survival and recurrence-free survival. Conclusion: The study suggests that a higher SII has association with worse prognosis in NSCLC patients. PROSPERO registration number: CRD42022336270.
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Affiliation(s)
- Wen-Hua Chen
- Medical School of Nantong University, Nantong, 226000, China
| | - Jing-Jing Shao
- Cancer Institute, Nantong Tumor Hospital/Affiliated Tumor Hospital of Nantong University, Nantong, 226000, China
| | - Ying Yang
- Cancer Institute, Nantong Tumor Hospital/Affiliated Tumor Hospital of Nantong University, Nantong, 226000, China
| | - Yun Meng
- Department of Oncology, Nantong Tumor Hospital/Affiliated Tumor Hospital of Nantong University, Nantong, 226000,China
| | - Sheng Huang
- Department of Oncology, Nantong Tumor Hospital/Affiliated Tumor Hospital of Nantong University, Nantong, 226000,China
| | - Rong-Fang Xu
- Department of Oncology, Nantong Tumor Hospital/Affiliated Tumor Hospital of Nantong University, Nantong, 226000,China
| | - Ji-Bin Liu
- Cancer Institute, Nantong Tumor Hospital/Affiliated Tumor Hospital of Nantong University, Nantong, 226000, China
| | - Jian-Guo Chen
- Cancer Institute, Nantong Tumor Hospital/Affiliated Tumor Hospital of Nantong University, Nantong, 226000, China
| | - Qin Wang
- Cancer Institute, Nantong Tumor Hospital/Affiliated Tumor Hospital of Nantong University, Nantong, 226000, China
| | - Hai-Zhen Chen
- Medical School of Nantong University, Nantong, 226000, China
- Cancer Institute, Nantong Tumor Hospital/Affiliated Tumor Hospital of Nantong University, Nantong, 226000, China
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He J, Liang G, Yu H, Lin C, Shen W. Evaluating the predictive significance of systemic immune-inflammatory index and tumor markers in lung cancer patients with bone metastases. Front Oncol 2024; 13:1338809. [PMID: 38264753 PMCID: PMC10805270 DOI: 10.3389/fonc.2023.1338809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 12/13/2023] [Indexed: 01/25/2024] Open
Abstract
Objective This study aims to develop a predictive model for identifying lung cancer patients at elevated risk for bone metastases, utilizing the Unified Immunoinflammatory Index and various tumor markers. This model is expected to facilitate timely and effective therapeutic interventions, especially in the context of the growing significance of immunotherapy for lung cancer treatment. Methods A retrospective analysis was conducted on 324 lung cancer patients treated between January 2019 and January 2021. After meeting the inclusion criteria, 241 patients were selected, with 56 exhibiting bone metastases. The cohort was divided into a training group (169 patients) and a validation group (72 patients) at a 7:3 ratio. Lasso regression was employed to identify critical variables, followed by logistic regression to construct a Nomogram model for predicting bone metastases. The model's validity was ascertained through internal and external evaluations using the Concordance Index (C-index) and Receiver Operating Characteristic (ROC) curve. Results The study identified several factors influencing bone metastasis in lung cancer, such as the Systemic Immune-Inflammatory Index (SII), Carcinoembryonic Antigen (CEA), Neuron Specific Enolase (NSE), Cyfra21-1, and Neutrophil-to-Lymphocyte Ratio (NLR). These factors were incorporated into the Nomogram model, demonstrating high validation accuracy with C-index scores of 0.936 for internal and 0.924 for external validation. Conclusion The research successfully developed an intuitive and accurate Nomogram prediction model utilizing clinical indicators to predict the risk of bone metastases in lung cancer patients. This tool can be instrumental in aiding clinicians in developing personalized treatment plans, thereby optimizing patient outcomes in lung cancer care.
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Affiliation(s)
| | | | | | | | - Weiyu Shen
- Department of Thoracic Surgery, Ningbo Medical Center Lihuili Hospital, Ningbo, Zhejiang, China
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Park J, Kym D, Kim M, Cho YS, Hur J, Chun W, Yoon D, Yoon J. Pioneering predictions of AKI and AKIN severity in burn patients: a comprehensive CBC approach. Sci Rep 2024; 14:675. [PMID: 38182863 PMCID: PMC10770361 DOI: 10.1038/s41598-024-51253-x] [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: 07/11/2023] [Accepted: 01/02/2024] [Indexed: 01/07/2024] Open
Abstract
This study aims to evaluate the utility of complete blood count (CBC) markers, in conjunction with the acute kidney injury network (AKIN) criteria, for the early detection, severity assessment, and prediction of mortality outcomes of acute kidney injury (AKI) in burn patients. The research seeks to fill existing gaps in knowledge and validate the cost-effectiveness of using CBC as a routine diagnostic tool for better management of AKI. The study was conducted at Hangang Sacred Heart Hospital. We performed a large-scale retrospective analysis of 2758 adult patients admitted to the burn intensive care unit over a 12-year period. Among these patients, AKI occurred in 1554 patients (56.3%). Based on the AKIN stage classification, 794 patients (28.8%) were categorized as AKIN 1, 494 patients (17.9%) as AKIN 2, and 266 patients (9.6%) as AKIN 3. We defined several ratio markers, including the Neutrophil-to-lymphocyte ratio (NLR), Platelet-to-lymphocyte ratio (PLR), Monocyte-to-lymphocyte ratio (MLR), systemic immune-inflammation index (SII), and various mean platelet volume (MPV) ratios. Our statistical analyses, conducted using the R programming language, revealed significant correlations between these markers and AKI severity. The AUC values for neutrophil count and WBC count were 0.790 and 0.793, respectively, followed by immature granulocyte count with an AUC of 0.727. For red blood cell (RBC)-related parameters, the AUC values for hematocrit (Hct), hemoglobin (Hb), and RBC count were 0.725, 0.713, and 0.713, respectively. Among the platelet-related parameters, only platelet distribution width (PDW) had an AUC of 0.677. Among the ratio markers, the NLR had the highest AUC at 0.772, followed by MPVNR and SII with AUC values of 0.700 and 0.680, respectively. The findings underscore the potential of CBC as an economical, routine test for AKI, thereby paving the way for enhanced patient outcomes. Our study suggests the utility of routine CBC tests, specifically WBC count and PLR, for predicting AKI and platelet, MPV, and NLR for mortality assessment in burn patients. These findings underscore the potential of easily accessible CBC tests in enhancing AKI management. However, further multicenter studies are needed for validation.
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Affiliation(s)
- Jongsoo Park
- Department of Surgery and Critical Care, Burn Center, Hangang Sacred Heart Hospital, Hallym University Medical Center, 12, Beodeunaru-ro 7-gil, Youngdeungpo-gu, Seoul, 07247, South Korea
| | - Dohern Kym
- Department of Surgery and Critical Care, Burn Center, Hangang Sacred Heart Hospital, Hallym University Medical Center, 12, Beodeunaru-ro 7-gil, Youngdeungpo-gu, Seoul, 07247, South Korea.
- Burn Institutes, Hangang Sacred Heart Hospital, Hallym University Medical Center, 12, Beodeunaru-ro 7-gil, Youngdeungpo-gu, Seoul, 07247, South Korea.
| | - Myongjin Kim
- Department of Surgery and Critical Care, Burn Center, Hangang Sacred Heart Hospital, Hallym University Medical Center, 12, Beodeunaru-ro 7-gil, Youngdeungpo-gu, Seoul, 07247, South Korea
| | - Yong Suk Cho
- Department of Surgery and Critical Care, Burn Center, Hangang Sacred Heart Hospital, Hallym University Medical Center, 12, Beodeunaru-ro 7-gil, Youngdeungpo-gu, Seoul, 07247, South Korea
- Burn Institutes, Hangang Sacred Heart Hospital, Hallym University Medical Center, 12, Beodeunaru-ro 7-gil, Youngdeungpo-gu, Seoul, 07247, South Korea
| | - Jun Hur
- Department of Surgery and Critical Care, Burn Center, Hangang Sacred Heart Hospital, Hallym University Medical Center, 12, Beodeunaru-ro 7-gil, Youngdeungpo-gu, Seoul, 07247, South Korea
- Burn Institutes, Hangang Sacred Heart Hospital, Hallym University Medical Center, 12, Beodeunaru-ro 7-gil, Youngdeungpo-gu, Seoul, 07247, South Korea
| | - Wook Chun
- Department of Surgery and Critical Care, Burn Center, Hangang Sacred Heart Hospital, Hallym University Medical Center, 12, Beodeunaru-ro 7-gil, Youngdeungpo-gu, Seoul, 07247, South Korea
- Burn Institutes, Hangang Sacred Heart Hospital, Hallym University Medical Center, 12, Beodeunaru-ro 7-gil, Youngdeungpo-gu, Seoul, 07247, South Korea
| | - Dogeon Yoon
- Burn Institutes, Hangang Sacred Heart Hospital, Hallym University Medical Center, 12, Beodeunaru-ro 7-gil, Youngdeungpo-gu, Seoul, 07247, South Korea
| | - Jaechul Yoon
- Department of Surgery and Critical Care, Burn Center, Hangang Sacred Heart Hospital, Hallym University Medical Center, 12, Beodeunaru-ro 7-gil, Youngdeungpo-gu, Seoul, 07247, South Korea
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Cao W, Tang Q, Zeng J, Jin X, Zu L, Xu S. A Review of Biomarkers and Their Clinical Impact in Resected Early-Stage Non-Small-Cell Lung Cancer. Cancers (Basel) 2023; 15:4561. [PMID: 37760531 PMCID: PMC10526902 DOI: 10.3390/cancers15184561] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Revised: 08/28/2023] [Accepted: 09/08/2023] [Indexed: 09/29/2023] Open
Abstract
The postoperative survival of early-stage non-small-cell lung cancer (NSCLC) patients remains unsatisfactory. In this review, we examined the relevant literature to ascertain the prognostic effect of related indicators on early-stage NSCLC. The prognostic effects of the epidermal growth factor receptor (EGFR), anaplastic lymphoma kinase (ALK), mesenchymal-epithelial transition (MET), C-ros oncogene 1 (ROS1), or tumour protein p53 (TP53) alterations in resected NSCLC remains debatable. Kirsten rat sarcoma viral oncogene homologue (KRAS) alterations indicate unfavourable outcomes in early-stage NSCLC. Meanwhile, adjuvant or neoadjuvant EGFR-targeted agents can substantially improve prognosis in early-stage NSCLC with EGFR alterations. Based on the summary of current studies, resected NSCLC patients with overexpression of programmed death-ligand 1 (PD-L1) had worsening survival. Conversely, PD-L1 or PD-1 inhibitors can substantially improve patient survival. Considering blood biomarkers, perioperative peripheral venous circulating tumour cells (CTCs) and pulmonary venous CTCs predicted unfavourable prognoses and led to distant metastases. Similarly, patients with detectable perioperative circulating tumour DNA (ctDNA) also had reduced survival. Moreover, patients with perioperatively elevated carcinoembryonic antigen (CEA) in the circulation predicted significantly worse survival outcomes. In the future, we will incorporate mutated genes, immune checkpoints, and blood-based biomarkers by applying artificial intelligence (AI) to construct prognostic models that predict patient survival accurately and guide individualised treatment.
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Affiliation(s)
- Weibo Cao
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin 300052, China; (W.C.); (Q.T.); (J.Z.); (X.J.); (L.Z.)
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Quanying Tang
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin 300052, China; (W.C.); (Q.T.); (J.Z.); (X.J.); (L.Z.)
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Jingtong Zeng
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin 300052, China; (W.C.); (Q.T.); (J.Z.); (X.J.); (L.Z.)
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Xin Jin
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin 300052, China; (W.C.); (Q.T.); (J.Z.); (X.J.); (L.Z.)
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Lingling Zu
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin 300052, China; (W.C.); (Q.T.); (J.Z.); (X.J.); (L.Z.)
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Song Xu
- Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin 300052, China; (W.C.); (Q.T.); (J.Z.); (X.J.); (L.Z.)
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment, Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin 300052, China
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Lv X, Xu B, Zou Q, Han S, Feng Y. Clinical application of common inflammatory and nutritional indicators before treatment in prognosis evaluation of non-small cell lung cancer: a retrospective real-world study. Front Med (Lausanne) 2023; 10:1183886. [PMID: 37521341 PMCID: PMC10373868 DOI: 10.3389/fmed.2023.1183886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 06/05/2023] [Indexed: 08/01/2023] Open
Abstract
Objective To evaluate the prognostic value of common clinical inflammatory and nutritional indicators before treatment in patients with non-small cell lung cancer in the real world. Method A total of 5,239 patients with pathologically confirmed non-small cell lung cancer from 2011 to 2018 in the Affiliated Cancer Hospital of Xinjiang Medical University were selected. Their inflammatory and nutritional indicators (RDW, PDW, NLR, LMR, NMR, PLR, SII, PNI, TP, ALB, CYRFA21-1, CEA, CA125, NSE, α1-globulin, α2-globulin, β1-globulin, β2-globulin, and γ-globulin) before treatment were collected. From the total number, 1,049 patients were randomly sampled (18 to 20% of patients each year) and used as the validation set; the remaining 4,190 patients were used as the training set. According to the eighth edition of the guidelines for the diagnosis, treatment, and stage risk stratification of lung cancer, the patients were divided into four groups: stage I/II operable, stage III operable, stage III inoperable, and stage IV. We used the X-tile software to intercept and classify the cut-off values of each index in the validation set. Univariate and multivariate Cox proportional-hazard regression were used to screen the independent risk factors affecting the prognosis of non-small cell lung cancer and establish a prognostic model for 1, 3, and 5 years. The validation set was used to verify its performance. Finally, the Kaplan-Meier curve was used to assess the survival rate, and the corresponding nomogram was established for clinical use. Results After screening, no effective indicators were found in the stage I/II operable group. RDW and CA125 were effective indicators for the stage III operable group (cut-off values were 14.1 and 9.21, respectively, compared with the low-value group; univariate HR was 2.145 and 1.612, and multivariate HR was 1.491 and 1.691, respectively). CYRFA21-1 and CA125 were effective prognostic indicators for the stage III inoperable group (cut-off values were 10.62 and 44.10, respectively, compared with the low-value group; univariate HR was 1.744 and 1.342, and multivariate HR was 1.284 and 1.304, respectively). CYRFA21-1, CA125, NLR, and α1-globulin were effective indicators of prognosis in stage IV (cut-off values were 3.07, 69.60, 4.08, and 5.30, respectively, compared with the low-value group; univariate HR was 1.713, 1.339, 1.388, and 1.539; and multivariate HR was 1.407, 1.119, 1.191, and 1.110, respectively). The model was constructed with the best validation power in stage IV patients (C-index = 0.733, 0.749, and 0.75 at 1, 3, and 5 years, respectively). Conclusion For patients with stage III and IV non-small cell lung cancer, some inflammatory markers, serum tumor markers, and nutritional indicators are independent prognostic factors. Combined with the general data of patients, the constructed prognostic evaluation model has the best efficacy in patients with stage IV and can be widely used in clinical practice.
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Affiliation(s)
- Xiang Lv
- Clinical Laboratory Center, Cancer Hospital Affiliated to Xinjiang Medical University, Ürümqi, China
- Department of Laboratory Medicine, Jianyang People's Hospital, Jianyang, China
| | - Bin Xu
- Clinical Laboratory Center, Cancer Hospital Affiliated to Xinjiang Medical University, Ürümqi, China
- Medical Laboratory Center, Affiliated to Traditional Chinese Medicine Hospital of Xinjiang Medical University, Ürümqi, China
| | - Qingxia Zou
- Clinical Laboratory Center, Cancer Hospital Affiliated to Xinjiang Medical University, Ürümqi, China
| | - Songtao Han
- Clinical Laboratory Center, Cancer Hospital Affiliated to Xinjiang Medical University, Ürümqi, China
- Medical Laboratory Center, Affiliated to Traditional Chinese Medicine Hospital of Xinjiang Medical University, Ürümqi, China
| | - Yangchun Feng
- Clinical Laboratory Center, Cancer Hospital Affiliated to Xinjiang Medical University, Ürümqi, China
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Cao W, Yu H, Zhu S, Lei X, Li T, Ren F, Zhou N, Tang Q, Zu L, Xu S. Clinical significance of preoperative neutrophil‐lymphocyte ratio and platelet‐lymphocyte ratio in the prognosis of resected early‐stage patients with non‐small cell lung cancer: A meta‐analysis. Cancer Med 2022; 12:7065-7076. [PMID: 36480232 PMCID: PMC10067053 DOI: 10.1002/cam4.5505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 10/06/2022] [Accepted: 11/20/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Poor prognosis is linked to peripheral blood levels of preoperative platelet-lymphocyte ratio (PLR) and neutrophil-lymphocyte ratio (NLR) in many advanced cancers. Nevertheless, whether the correlation exists in resected early-stage cases with non-small cell lung cancer (NSCLC) stays controversial. Consequently, we performed a meta-analysis to explore the preoperative NLR and PLR's prognostic significance in early-stage patients with NSCLC undergoing curative surgery. METHODS Relevant studies that validated the link between preoperative NLR or PLR and survival results were found via the proceeding databases: PubMed, Embase, Cochrane Library, and Web of Science. The merged 95% confidence interval (CI) and hazard ratio (HR) was employed to validate the link between the NLR or PLR's index and overall survival (OS) and disease-free survival (DFS) in resected NSCLC cases. We used sensitivity and subgroup analyses to assess the studies' heterogeneity. RESULTS An overall of 21 studies were attributed to the meta-analysis. The findings indicated that great preoperative NLR was considerably correlated with poor DFS (HR = 1.58, 95% CI: 1.37-1.82, p < 0.001) and poor OS (HR = 1.51, 95% CI: 1.33-1.72, p < 0.001), respectively. Subgroup analyses were in line with the pooled findings. In aspect of PLR, raised PLR was indicative of inferior DFS (HR = 1.28, 95% CI: 1.04-1.58, p = 0.021) and OS (HR = 1.37, 95% CI: 1.18-1.60, p < 0.001). In the subgroup analyses between PLR and DFS, only subgroups with a sample size <300 (HR = 1.67, 95% CI: 1.15-2.43, p = 0.008) and TNM staging of mixed (I-II) (HR = 1.47, 95% CI: 1.04-2.07, p = 0.028) showed that the link between high PLR and poor DFS was significant. CONCLUSIONS Preoperative elevated NLR and PLR may act as prognostic biomarkers in resected early-stage NSCLC cases and are therefore valuable for guiding postoperative adjuvant treatment.
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Affiliation(s)
- Weibo Cao
- Department of Lung Cancer Surgery Lung Cancer Institute, Tianjin Medical University General Hospital Tianjin China
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment Lung Cancer Institute, Tianjin Medical University General Hospital Tianjin China
| | - Haochuan Yu
- Department of Lung Cancer Surgery Lung Cancer Institute, Tianjin Medical University General Hospital Tianjin China
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment Lung Cancer Institute, Tianjin Medical University General Hospital Tianjin China
| | - Shuai Zhu
- Department of Lung Cancer Surgery Lung Cancer Institute, Tianjin Medical University General Hospital Tianjin China
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment Lung Cancer Institute, Tianjin Medical University General Hospital Tianjin China
| | - Xi Lei
- Department of Lung Cancer Surgery Lung Cancer Institute, Tianjin Medical University General Hospital Tianjin China
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment Lung Cancer Institute, Tianjin Medical University General Hospital Tianjin China
| | - Tong Li
- Department of Lung Cancer Surgery Lung Cancer Institute, Tianjin Medical University General Hospital Tianjin China
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment Lung Cancer Institute, Tianjin Medical University General Hospital Tianjin China
| | - Fan Ren
- Department of Lung Cancer Surgery Lung Cancer Institute, Tianjin Medical University General Hospital Tianjin China
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment Lung Cancer Institute, Tianjin Medical University General Hospital Tianjin China
| | - Ning Zhou
- Department of Lung Cancer Surgery Lung Cancer Institute, Tianjin Medical University General Hospital Tianjin China
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment Lung Cancer Institute, Tianjin Medical University General Hospital Tianjin China
| | - Quanying Tang
- Department of Lung Cancer Surgery Lung Cancer Institute, Tianjin Medical University General Hospital Tianjin China
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment Lung Cancer Institute, Tianjin Medical University General Hospital Tianjin China
| | - Lingling Zu
- Department of Lung Cancer Surgery Lung Cancer Institute, Tianjin Medical University General Hospital Tianjin China
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment Lung Cancer Institute, Tianjin Medical University General Hospital Tianjin China
| | - Song Xu
- Department of Lung Cancer Surgery Lung Cancer Institute, Tianjin Medical University General Hospital Tianjin China
- Tianjin Key Laboratory of Lung Cancer Metastasis and Tumor Microenvironment Lung Cancer Institute, Tianjin Medical University General Hospital Tianjin China
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Wang Z, Qin Z, Yuan R, Guo J, Xu S, Lv Y, Xu Y, Lu Y, Gao J, Yu F, Tang L, Zhang L, Bai J, Cui X, Zhang J, Tang J. Systemic immune-inflammation index as a prognostic marker for advanced chronic heart failure with renal dysfunction. ESC Heart Fail 2022; 10:478-491. [PMID: 36316302 PMCID: PMC9871671 DOI: 10.1002/ehf2.14217] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 10/10/2022] [Accepted: 10/14/2022] [Indexed: 01/27/2023] Open
Abstract
AIMS We aim to investigate the correlation between high levels of the systemic immune-inflammation index (SII) and long-term mortality and major cardiovascular adverse events in advanced chronic heart failure patients with renal dysfunction. METHODS AND RESULTS Seven hundred seventeen advanced chronic heart failure patients with renal dysfunction, who visited the First affiliated hospital of Zhengzhou University from September 2019 to December 2020, were included. All-cause mortalities (ACM) were selected as primary endpoints and major cardiovascular adverse events (MACEs) as the secondary endpoints. Based on the receiver operating characteristic (ROC) curve and the Youden index, the optimal cut-off values of SII for ACM and MACEs were 1228 and 1406. In the group where ACM were the primary endpoint, patients were categorized into the low-SII group (n = 479) and the high-SII group (n = 238). Patients in the group using MACEs as the secondary endpoint were also categorized into the low-SII groups (n = 514) and the high-SII groups (n = 203). Univariate and multivariate COX regression were used to screen the independent predictors for ACM and MACEs, revealing the relationship between SII levels and endpoints. According to the univariate COX analysis, SII was the risk factor (hazard ratio [HR] = 2.144, 95% confidence interval [CI]: 1.565-2.938, P < 0.001) for the ACM subgroup. It was also the risk factor (HR = 1.625, CI: 1.261-2.905, P < 0.001) for the MACEs subgroup. Multivariate COX regression analysis indicated that the occurrence of ACM and MACEs in high-level SII and low-level SII patients had statistical differences. The incidence of ACM increased by 70.3% (HR = 1.703; 95% CI: 1.200-2.337; P = 0.002) in patients of the high SII level group, the incidence of MACEs increased by 58.3% (HR = 1.583, 95% CI: 1.213-2.065, P = 0.001). Kaplan-Meier (K-M) survival analysis further suggested that patients with a high SII level had an increased risk of having ACM (log-rank P < 0.001) and MACEs (log-rank P < 0.001) within 30 months. SII could be considered as a novel predictor of the occurrence of ACM and MACEs for patients with advanced chronic heart failure and renal dysfunction. CONCLUSIONS This study suggested that SII is a novel independent predictor of mortality in advanced chronic heart failure patients with renal dysfunction, and it should be considered in current clinical management.
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Affiliation(s)
- Zeyu Wang
- Department of CardiologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina,Henan Province Key Laboratory of Cardiac Injury and RepairZhengzhouChina,Henan Province Clinical Research Center for Cardiovascular DiseasesZhengzhouChina
| | - Zhen Qin
- Department of CardiologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina,Henan Province Key Laboratory of Cardiac Injury and RepairZhengzhouChina,Henan Province Clinical Research Center for Cardiovascular DiseasesZhengzhouChina
| | - Ruixia Yuan
- Clinical Big Data CenterThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Jiacheng Guo
- Department of CardiologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina,Henan Province Key Laboratory of Cardiac Injury and RepairZhengzhouChina,Henan Province Clinical Research Center for Cardiovascular DiseasesZhengzhouChina
| | - Shuai Xu
- Department of CardiologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina,Henan Province Key Laboratory of Cardiac Injury and RepairZhengzhouChina,Henan Province Clinical Research Center for Cardiovascular DiseasesZhengzhouChina
| | - Yan Lv
- Department of CardiologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina,Henan Province Key Laboratory of Cardiac Injury and RepairZhengzhouChina,Henan Province Clinical Research Center for Cardiovascular DiseasesZhengzhouChina
| | - Yanyan Xu
- Department of CardiologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina,Henan Province Key Laboratory of Cardiac Injury and RepairZhengzhouChina,Henan Province Clinical Research Center for Cardiovascular DiseasesZhengzhouChina
| | - Yongzheng Lu
- Department of CardiologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina,Henan Province Key Laboratory of Cardiac Injury and RepairZhengzhouChina,Henan Province Clinical Research Center for Cardiovascular DiseasesZhengzhouChina
| | - Jiamin Gao
- Department of CardiologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina,Henan Province Key Laboratory of Cardiac Injury and RepairZhengzhouChina,Henan Province Clinical Research Center for Cardiovascular DiseasesZhengzhouChina
| | - Fengyi Yu
- Department of CardiologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina,Henan Province Key Laboratory of Cardiac Injury and RepairZhengzhouChina,Henan Province Clinical Research Center for Cardiovascular DiseasesZhengzhouChina
| | - Laiyi Tang
- Department of CardiologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina,Henan Province Key Laboratory of Cardiac Injury and RepairZhengzhouChina,Henan Province Clinical Research Center for Cardiovascular DiseasesZhengzhouChina
| | - Li Zhang
- Department of CardiologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina,Henan Province Key Laboratory of Cardiac Injury and RepairZhengzhouChina,Henan Province Clinical Research Center for Cardiovascular DiseasesZhengzhouChina
| | - Jing Bai
- Department of CardiologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina,Henan Province Key Laboratory of Cardiac Injury and RepairZhengzhouChina,Henan Province Clinical Research Center for Cardiovascular DiseasesZhengzhouChina
| | - Xiaolin Cui
- School of MedicineThe Chinese University of Hong KongShenzhenChina
| | - Jinying Zhang
- Department of CardiologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina,Henan Province Key Laboratory of Cardiac Injury and RepairZhengzhouChina,Henan Province Clinical Research Center for Cardiovascular DiseasesZhengzhouChina
| | - Junnan Tang
- Department of CardiologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina,Henan Province Key Laboratory of Cardiac Injury and RepairZhengzhouChina,Henan Province Clinical Research Center for Cardiovascular DiseasesZhengzhouChina
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Wang J, Hu K, Qian H, Yuan Q, Liu Q, Ma C, Shao L, Wan J. Systemic immune-inflammation landscape in brain metastasis needing neurosurgical resection: Analysis of 230 consecutive cases in a single center. Immun Inflamm Dis 2022; 10:e694. [PMID: 36169253 PMCID: PMC9449592 DOI: 10.1002/iid3.694] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Revised: 07/16/2022] [Accepted: 08/20/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Systemic immune-inflammation states across the heterogeneous population of brain metastases are very important in the context of brain-immune bidirectional communication, especially among the patients needing neurosurgical resection. Four blood cell ratios based on complete blood count (CBC) test serving as prognostic biomarkers have been highlighted by previous studies, including systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR). However, the presurgical systemic immune-inflammation landscape in brain metastasis needing neurosurgical resection is limited. METHODS Patients with brain metastases admitted to the Department of Neurosurgery at the National Cancer Center, Cancer Hospital of Chinese Academy of Medical Sciences between January 2016 and December 2019 were included. Based on peripheral blood cell counts in CBC test before neurosurgical resection, four systemic immune-inflammation biomarkers (SII, NLR, PLR, and LMR) were calculated. We characterized the changes of SII, NLR, PLR, and LMR in patients with brain metastasis before neurosurgical resection and the associations of these types of immune-inflammation states with patient demographics. In parallel, the corresponding data from the relative healthy populations without systemic diseases were enrolled as the control in the present study. RESULTS Brain metastases induced systemic immune-inflammation perturbation, which was characterized by a significant increase in SII (p < .01) and NLR levels (p < .01) and a significant decrease in the LMR level (p < .01) in comparison with the healthy control group. Moreover, patients with male gender, less Karnofsky Performance Status (KPS) scores (<70), specific pathological subtypes, extracranial transfer, and history of both systemic and radiation therapy may have significant differences in one or more of these biomarkers, which indicated poorer systemic immune-inflammation states. CONCLUSIONS This study provides evidence that brain metastasis is associated with perturbations in presurgical systemic immune-inflammation states. We should pay attention to the systemic immune-inflammation perturbations following brain metastasis in clinic, especially in the subpopulations with high risks.
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Affiliation(s)
- Jia‐Wei Wang
- Department of Neurosurgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingPeople's Republic of China
| | - Ke Hu
- Department of Neurosurgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingPeople's Republic of China
| | - Hai‐Peng Qian
- Department of Neurosurgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingPeople's Republic of China
| | - Qing Yuan
- Department of Neurosurgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingPeople's Republic of China
| | - Qi Liu
- Department of Neurosurgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingPeople's Republic of China
| | - Chao Ma
- Department of Neurosurgery, The Third People's Hospital of HefeiHefei Third Clinical College of Anhui Medical UniversityHefeiPeople's Republic of China
| | - Liujiazi Shao
- Department of Anesthesiology, Beijing Friendship HospitalCapital Medical UniversityBeijingPeople's Republic of China
| | - Jing‐Hai Wan
- Department of Neurosurgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingPeople's Republic of China
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11
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Zhou L, Feng F, Yang Y, Zheng X, Yang Y. Prognostic predictors of non-small cell lung cancer treated with curative resection: the role of preoperative CT texture features, clinical features, and laboratory parameters. Clin Radiol 2022; 77:e765-e770. [PMID: 35843728 DOI: 10.1016/j.crad.2022.06.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 06/11/2022] [Accepted: 06/15/2022] [Indexed: 11/03/2022]
Abstract
AIM To explore the value of preoperative contrast-enhanced computed tomography (CT) tumour texture characteristics, and clinical and laboratory parameters on the prognosis of curative resection for non-small-cell lung cancer (NSCLC). MATERIALS AND METHODS This retrospective study included 64 patients (34 men and 30 women) with NSCLC who underwent curative resection and were then followed up for 5 years or until death. Preoperative contrast-enhanced CT images, clinical features, and laboratory parameters were collected for these patients. CT texture features of the primary tumour before surgery were extracted from the contrast-enhanced CT images using ImageJ software. Based on the cut-off values determined by X-tile software, the preoperative CT texture features, clinical features, and laboratory parameters were divided into two groups. Kaplan-Meier survival curves and log-rank tests were used to compare the 5-year overall survival (OS) of patients. Multivariate Cox regression analysis was used to determine the independent factors influencing the prognosis. RESULTS The mean survival was 51.5 months. Tumour volume, entropy, platelet-to-lymphocyte ratio (PLR), prognostic nutritional index (PNI), and albumin-to-globulin ratio (AGR) were shown to be significantly associated with 5-year OS (p<0.05). Multivariate Cox regression analysis revealed that entropy was the independent factor of prognosis (hazard ratio 4.375, 95% confidence interval [CI]: 1.646-11.620, p=0.003). CONCLUSION Entropy is an important and potentially non-invasive imaging biomarker for predicting the prognosis of NSCLC undergoing curative resection.
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Affiliation(s)
- L Zhou
- Department of Radiology, Affiliated Tumour Hospital of Nantong University, Nantong, Jiangsu 226361, PR China.
| | - F Feng
- Department of Radiology, Affiliated Tumour Hospital of Nantong University, Nantong, Jiangsu 226361, PR China
| | - Y Yang
- Department of Radiology, Affiliated Tumour Hospital of Nantong University, Nantong, Jiangsu 226361, PR China
| | - X Zheng
- Department of Radiology, Affiliated Tumour Hospital of Nantong University, Nantong, Jiangsu 226361, PR China
| | - Y Yang
- Department of Radiology, Affiliated Tumour Hospital of Nantong University, Nantong, Jiangsu 226361, PR China
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12
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Huang W, Luo J, Wen J, Jiang M. The Relationship Between Systemic Immune Inflammatory Index and Prognosis of Patients With Non-Small Cell Lung Cancer: A Meta-Analysis and Systematic Review. Front Surg 2022; 9:898304. [PMID: 35846963 PMCID: PMC9280894 DOI: 10.3389/fsurg.2022.898304] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 06/03/2022] [Indexed: 12/25/2022] Open
Abstract
Background The relationship between systemic immune inflammation index (SII) and the prognosis of cancer has always been a subject of intense interest. However, the prognostic value of SII in non-small cell lung cancer (NSCLC) patients remains a controversial topic. Objective To evaluate the effect of SII index on prognosis of NSCLC. Methods We conducted a comprehensive search of PubMed, EMBASE, and the Cochrane Library databases to determine correlation between SII index, clinicopathological features, overall survival (OS), and progression-free survival (PFS). Odds ratio (ORs) and 95% confidence interval (CIs) were used to assess the connection between SII and clinicopathological parameters, and HRs and 95% CIs were used to assess the connection between SII and survival. Results Seventeen studies with 8,877 cases were included in the analysis. Compared with NSCLC patients with low SII level, patients with NSCLC with high SII level had a poor OS (HR = 1.75, 95% CI, 1.50–2.00; P < 0.001) and had a poor PFS (HR = 1.61, 95% CI, 1.25–1.96; P < 0.001). In addition, patients with higher pathological stage (II–III) had higher SII levels (OR = 2.32, 95% CI, 2.06–2.62; P < 0.001). Conclusions The SII index is a promising prognostic biomarker for NSCLC and may help clinicians choose appropriate NSCLC treatments.
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Affiliation(s)
- Wei Huang
- Department of Cardiothoracic Surgery, The Affiliated People’s Hospital of Ningbo University, Ningbo, China
- Correspondence: Wei Huang
| | - Jiayu Luo
- Department of Oncology, No.906 Hospital of People’s Liberation Army, Ningbo, China
| | - Jianbo Wen
- Department of Cardiothoracic Surgery, The Affiliated People’s Hospital of Ningbo University, Ningbo, China
| | - Mingjun Jiang
- Department of Cardiothoracic Surgery, The Affiliated People’s Hospital of Ningbo University, Ningbo, China
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Combining serum inflammation indexes at baseline and post treatment could predict pathological efficacy to anti‑PD‑1 combined with neoadjuvant chemotherapy in esophageal squamous cell carcinoma. J Transl Med 2022; 20:61. [PMID: 35109887 PMCID: PMC8809030 DOI: 10.1186/s12967-022-03252-7] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Accepted: 01/13/2022] [Indexed: 01/03/2023] Open
Abstract
Background The neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) have been used to predict therapeutic response in different tumors. However, no assessments of their usefulness have been performed in esophageal squamous cell carcinoma (ESCC) patients receiving anti‑PD‑1 combined with neoadjuvant chemotherapy. Methods The respective data of 64 ESCC patients receiving anti‑PD‑1 combined with neoadjuvant chemotherapy were analyzed. Whether NLR, LMR, PLR, and SII at baseline and post-treatment might predict pathological response to anti‑PD‑1 plus neoadjuvant chemotherapy, and cutoff values of these parameters were all determined by ROC curve analysis. Results NLR (cutoff = 3.173, AUC = 0.644, 95% CI 0.500–0.788, P = 0.124, sensitivity = 1.000, specificity = 0.373), LMR (cutoff = 1.622, AUC = 0.631, 95% CI 0.477–0.784, P = 0.161, sensitivity = 0.917, specificity = 0.137), PLR (cutoff = 71.108, AUC = 0.712, 95% CI 0.575–0.849, P = 0.023, sensitivity = 1.000, specificity = 0.059), and SII at baseline (cutoff = 559.266, AUC = 0.681, 95% CI 0.533–0.830, P = 0.052, sensitivity = 0.373, specificity = 1.000) seemed to be a useful predictor for distinguishing responders from non-responders. Combining NLR with SII at baseline (AUC = 0.729, 95% CI 0.600–0.858, P = 0.014, sensitivity = 0.917, specificity = 0.510), LMR and SII at baseline (AUC = 0.735, 95% CI 0.609–0.861, P = 0.012, sensitivity = 1.000 specificity = 0.471), PLR and SII at baseline (AUC = 0.716, 95% CI 0.584–0.847, P = 0.021, sensitivity = 1.000 specificity = 0.431), and LMR and PLR at post-treatment in the third period (AUC = 0.761, 95% CI 0.605–0.917, P = 0.010, sensitivity = 0.800, specificity = 0.696) might slightly increase the prediction ability to determine patients who have response or no response. Finally, combining LMR at baseline, SII at post-treatment in the second period with PLR at post-treatment in the third period could be considered a better predictor for discriminating responders and non-responders than single or dual biomarkers (AUC = 0.879, 95% CI 0.788–0.969, P = 0.0001, sensitivity = 0.909, specificity = 0.800). Conclusions The models we constructed allowed for the accurate and efficient stratification of ESCC patients receiving anti-PD-1 plus chemotherapy and are easily applicable for clinical practice at no additional cost.
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Xiaowei M, Wei Z, Qiang W, Yiqian N, Yanjie N, Liyan J. Assessment of systemic immune-inflammation index in predicting postoperative pulmonary complications in patients undergoing lung cancer resection. Surgery 2022; 172:365-370. [DOI: 10.1016/j.surg.2021.12.023] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Revised: 12/17/2021] [Accepted: 12/19/2021] [Indexed: 12/14/2022]
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Lin G, Sui Y, Li Y, Huang W. Diagnostic and prognostic value of CT perfusion parameters in patients with advanced NSCLC after chemotherapy. Am J Transl Res 2021; 13:13516-13523. [PMID: 35035693 PMCID: PMC8748164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 10/25/2021] [Indexed: 06/14/2023]
Abstract
OBJECTIVE To determine the short-term prognostic value of Computed Tomography (CT) perfusion parameters in patients with advanced non-small cell lung cancer (NSCLC) after chemotherapy. METHODS A total of 60 patients with NSCLC who received concurrent radiotherapy and chemotherapy were enrolled. Before therapy, CT perfusion imaging was conducted to scan their local lesions. Then, the CT perfusion-associated parameters were recorded, and evaluated. According to the Response Evaluation Criteria in Solid Tumors (RECIST), 42 out of 60 patients had remission after chemotherapy. The blood flow (BF), blood volume (BV), and permeability surface (PS) of the two groups were analyzed before therapy, and factors and parameters affecting the efficacy of concurrent radiotherapy and chemotherapy were discussed. RESULTS After chemotherapy, patients with remission showed lower BF, BV, and PS levels in pulmonary lesions than those without remission (all P<0.05). According to the 1-year follow-up results, 33 cases survived, and 27 cases died, and the survivors showed lower BF and PS levels than the dead (both P<0.05). CONCLUSION Patients with lower BF and PS in CT perfusion parameters obtained better chemotherapy efficacy, so BF and PS can be adopted to predict the survival of patients.
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Affiliation(s)
- Guangyao Lin
- Medical Imaging Center, The First People's Hospital of Shangqiu City Shangqiu 476100, Henan Province, China
| | - Yuan Sui
- Medical Imaging Center, The First People's Hospital of Shangqiu City Shangqiu 476100, Henan Province, China
| | - Yiming Li
- Medical Imaging Center, The First People's Hospital of Shangqiu City Shangqiu 476100, Henan Province, China
| | - Wenqi Huang
- Medical Imaging Center, The First People's Hospital of Shangqiu City Shangqiu 476100, Henan Province, 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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Jin J, Yang L, Liu D, Li WM. Prognostic Value of Pretreatment Lymphocyte-to-Monocyte Ratio in Lung Cancer: A Systematic Review and Meta-Analysis. Technol Cancer Res Treat 2021; 20:1533033820983085. [PMID: 33576324 PMCID: PMC7887688 DOI: 10.1177/1533033820983085] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2020] [Revised: 11/11/2020] [Accepted: 11/30/2020] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND The overall prognosis of lung cancer remains unfavorable and novel prognostic biomarkers of lung cancer are needed warranted. Accumulating evidence indicate that systemic inflammation plays a vital role in lung cancer. The lymphocyte-to-monocyte ratio (LMR) is biomarker that reflects the level of systemic inflammation. OBJECTIVE To perform a comprehensive meta-analysis exploring the correlation of pretreatment LMR with the overall survival (OS) and progression-free survival (PFS) of lung cancer patients. METHODS We conducted searches of the PubMed, Embase, Cochrane Library, and Web of Science databases to May 2020 to identify relevant studies and calculated combined hazard ratios (HRs) to evaluate the association between pretreatment LMR and survival time in patients with lung cancer. RESULTS A total of 23 studies comprising 8361 lung cancer patients were included. Among the patients, 5702 (68%) were males, 4548 were current smokers and 2212 were diagnosed with squamous carcinoma. The pooled analysis revealed that decreased pretreatment LMR was significantly correlated with reduced of PFS (HR = 1.49, 95% CI: 1.34-1.67, p < 0.01) and reduced OS (HR = 1.61, 95% CI: 1.45-1.79, p < 0.01) among lung cancer patients. Furthermore, in the subgroup analyses according to histologic type, a lower level of pretreatment LMR seemed to be unrelated to the poorer OS of small cell lung cancer (SCLC) patients (HR = 1.21, 95%CI: 0.87-1.67, P = 0.25). CONCLUSIONS Decreased pretreatment LMR in peripheral blood was associated with shorter OS and PFS in lung cancer patients, suggesting its potential prognostic value.
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Affiliation(s)
- Jing Jin
- Department of Pulmonary & Critical Care, West China Hospital, Sichuan University, Chengdu, China
| | - Lan Yang
- Department of Pulmonary & Critical Care, West China Hospital, Sichuan University, Chengdu, China
| | - Dan Liu
- Department of Pulmonary & Critical Care, West China Hospital, Sichuan University, Chengdu, China
| | - Wei Min Li
- Department of Pulmonary & Critical Care, West China Hospital, Sichuan University, Chengdu, China
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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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