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Tong L, Ye K, Chen Q, Wang X, Hu C, Xu Q, Zhou L, Zhan R, Tong Y. Proteomics shows that brain metastases of lung adenocarcinoma overexpress ribosomal proteins in response to gamma knife radiosurgery. Sci Rep 2024; 14:15646. [PMID: 38977703 PMCID: PMC11231244 DOI: 10.1038/s41598-024-58967-y] [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: 01/18/2024] [Accepted: 04/05/2024] [Indexed: 07/10/2024] Open
Abstract
Gamma knife radiosurgery (GKRS) is recommended as the first-line treatment for brain metastases of lung adenocarcinoma (LUAD) in many guidelines, but its specific mechanism is unclear. We aimed to study the changes in the proteome of brain metastases of LUAD in response to the hyperacute phase of GKRS and further explore the mechanism of differentially expressed proteins (DEPs). Cancer tissues were collected from a clinical trial for neoadjuvant stereotactic radiosurgery before surgical resection of large brain metastases (ChiCTR2000038995). Five brain metastasis tissues of LUAD were collected within 24 h after GKRS. Five brain metastasis tissues without radiotherapy were collected as control samples. Proteomics analysis showed that 163 proteins were upregulated and 25 proteins were downregulated. GO and KEGG enrichment analyses showed that the DEPs were closely related to ribosomes. Fifty-three of 70 ribosomal proteins were significantly overexpressed, while none of them were underexpressed. The risk score constructed from 7 upregulated ribosomal proteins (RPL4, RPS19, RPS16, RPLP0, RPS2, RPS26 and RPS25) was an independent risk factor for the survival time of LUAD patients. Overexpression of ribosomal proteins may represent a desperate response to lethal radiotherapy. We propose that targeted inhibition of these ribosomal proteins may enhance the efficacy of GKRS.
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Affiliation(s)
- Luqing Tong
- Department of Neurosurgery, The First Affiliated Hospital, Zhejiang University School of Medicine, No.79 Qingchun Street, Shangcheng District, Hangzhou, 310003, Zhejiang, China
| | - Ke Ye
- Department of Neurosurgery, The First Affiliated Hospital, Zhejiang University School of Medicine, No.79 Qingchun Street, Shangcheng District, Hangzhou, 310003, Zhejiang, China
| | - Qun Chen
- Department of Neurosurgery, The First Affiliated Hospital, Zhejiang University School of Medicine, No.79 Qingchun Street, Shangcheng District, Hangzhou, 310003, Zhejiang, China
| | - Xiaoxi Wang
- Department of Pathology, The First Affiliated Hospital, Zhejiang University School of Medicine, No.79 Qingchun Street, Shangcheng District, Hangzhou, 310003, Zhejiang, China
| | - Chi Hu
- Department of Neurosurgery, The First Affiliated Hospital, Zhejiang University School of Medicine, No.79 Qingchun Street, Shangcheng District, Hangzhou, 310003, Zhejiang, China
| | - Qingsheng Xu
- Department of Neurosurgery, The First Affiliated Hospital, Zhejiang University School of Medicine, No.79 Qingchun Street, Shangcheng District, Hangzhou, 310003, Zhejiang, China
| | - Lihui Zhou
- Department of Neurosurgery, The First Affiliated Hospital, Zhejiang University School of Medicine, No.79 Qingchun Street, Shangcheng District, Hangzhou, 310003, Zhejiang, China
| | - Renya Zhan
- Department of Neurosurgery, The First Affiliated Hospital, Zhejiang University School of Medicine, No.79 Qingchun Street, Shangcheng District, Hangzhou, 310003, Zhejiang, China.
| | - Ying Tong
- Department of Neurosurgery, The First Affiliated Hospital, Zhejiang University School of Medicine, No.79 Qingchun Street, Shangcheng District, Hangzhou, 310003, Zhejiang, China.
- Gamma Knife Centre, The First Affiliated Hospital, Zhejiang University School of Medicine, No.79 Qingchun Street, Shangcheng District, Hangzhou, 310003, Zhejiang, China.
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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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Tamas F, Tamas CI, Suciu BA, Manu DR, Cehan AR, Balasa AF. Comparative Analysis of Inflammatory Indexes in Lung Cancer Patients With and Without Brain Metastases. Cureus 2024; 16:e60921. [PMID: 38910770 PMCID: PMC11193412 DOI: 10.7759/cureus.60921] [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] [Accepted: 05/22/2024] [Indexed: 06/25/2024] Open
Abstract
Introduction Lung cancer is the leading cause of oncological deaths worldwide. Various combined inflammatory indexes, such as the systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), and platelet-to-lymphocyte ratio (PLR) have shown associations with pretreatment survival prognosis in patients suffering of lung cancer with or without brain metastases. This study aimed to compare the average values of NLR, PLR, LMR, and SII in healthy patients, patients with lung cancer without any other metastases, and patients with lung cancer and brain metastases. Materials and methods In this prospective study, we have divided the patients into three groups: Group 1 included patients diagnosed with lung cancer and one or more brain metastases of lung cancer origin, Group 2 included patients diagnosed with lung cancer without known metastases, and Group 3 was the control group which included healthy subjects. Preoperative complete blood counts were extracted for all included patients and we calculated the values of SII, NLR, PLR, and LMR for each individual patient in each group. The next step was to calculate the average values of SII, NLR, PLR, and LMR for each group of patients and to identify the differences between groups. Results A total number of 228 patients were enrolled in the study. Group 1 included 67 patients with average values of SII = 2020.98, NLR = 7.25, PLR = 199.46, and LMR = 2.97. Group 2 included 88 patients with average values of SII = 1638.01, NLR = 4.58, PLR = 188.42, and LMR = 3.43. Group 3 included 73 subjects with the following average values of the inflammatory indexes: SII = 577.41, NLR = 2.34, PLR = 117.84, and LMR = 3.56. Conclusion We observed statistically significant differences in SII, NLR, and PLR among the three groups of patients, suggesting their potential role as prognostic markers. Furthermore, our analysis revealed significant correlations between inflammatory markers within lung cancer patients, highlighting their involvement in tumor microenvironment modulation. Our findings demonstrate an escalation in SII, NLR, and PLR values as the disease progresses. These parameters of inflammation and immune status are readily and cost-effectively, and repeatedly assessable in routine clinical practice.
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Affiliation(s)
- Flaviu Tamas
- Neurosurgery, George Emil Palade University of Medicine, Pharmacy, Science and Technology of Târgu Mureș, Târgu Mureș, ROU
- Neurosurgery, Emergency Clinical County Hospital, Târgu Mureș, Târgu Mureș, ROU
| | - Corina I Tamas
- Neurosurgery, Emergency Clinical County Hospital, Târgu Mureș, Târgu Mureș, ROU
- Neurosurgery, George Emil Palade University of Medicine, Pharmacy, Science and Technology of Târgu Mureș, Târgu Mureș, ROU
| | - Bogdan A Suciu
- Anatomy and Embryology, George Emil Palade University of Medicine, Pharmacy, Science and Technology of Târgu Mureș, Târgu Mureș, ROU
- Thoracic Surgery, Emergency Clinical County Hospital, Târgu Mureș, Târgu Mureș, ROU
| | - Doina R Manu
- Biological Sciences, George Emil Palade University of Medicine, Pharmacy, Science and Technology of Târgu Mureș, Târgu Mureș, ROU
| | - Alina R Cehan
- Plastic and Reconstructive Surgery, Emergency Clinical County Hospital, Târgu Mureș, Târgu Mureș, ROU
| | - Adrian F Balasa
- Neurosurgery, Emergency Clinical County Hospital, Târgu Mureș, Târgu Mureș, ROU
- Neurosurgery, George Emil Palade University of Medicine, Pharmacy, Science and Technology of Târgu Mureș, Târgu Mureș, ROU
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Ancel J, Dormoy V, Raby BN, Dalstein V, Durlach A, Dewolf M, Gilles C, Polette M, Deslée G. Soluble biomarkers to predict clinical outcomes in non-small cell lung cancer treated by immune checkpoints inhibitors. Front Immunol 2023; 14:1171649. [PMID: 37283751 PMCID: PMC10239865 DOI: 10.3389/fimmu.2023.1171649] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 05/11/2023] [Indexed: 06/08/2023] Open
Abstract
Lung cancer remains the first cause of cancer-related death despite many therapeutic innovations, including immune checkpoint inhibitors (ICI). ICI are now well used in daily practice at late metastatic stages and locally advanced stages after a chemo-radiation. ICI are also emerging in the peri-operative context. However, all patients do not benefit from ICI and even suffer from additional immune side effects. A current challenge remains to identify patients eligible for ICI and benefiting from these drugs. Currently, the prediction of ICI response is only supported by Programmed death-ligand 1 (PD-L1) tumor expression with perfectible results and limitations inherent to tumor-biopsy specimen analysis. Here, we reviewed alternative markers based on liquid biopsy and focused on the most promising biomarkers to modify clinical practice, including non-tumoral blood cell count such as absolute neutrophil counts, platelet to lymphocyte ratio, neutrophil to lymphocyte ratio, and derived neutrophil to lymphocyte ratio. We also discussed soluble-derived immune checkpoint-related products such as sPD-L1, circulating tumor cells (detection, count, and marker expression), and circulating tumor DNA-related products. Finally, we explored perspectives for liquid biopsies in the immune landscape and discussed how they could be implemented into lung cancer management with a potential biological-driven decision.
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Affiliation(s)
- Julien Ancel
- Inserm UMR-S1250, P3Cell, University of Reims Champagne-Ardenne, SFR CAP-SANTE, Reims, France
- Department of Respiratory Diseases, Centre Hospitalier Universitaire de Reims, Hôpital Maison Blanche, Reims, France
| | - Valérian Dormoy
- Inserm UMR-S1250, P3Cell, University of Reims Champagne-Ardenne, SFR CAP-SANTE, Reims, France
| | - Béatrice Nawrocki Raby
- Inserm UMR-S1250, P3Cell, University of Reims Champagne-Ardenne, SFR CAP-SANTE, Reims, France
| | - Véronique Dalstein
- Inserm UMR-S1250, P3Cell, University of Reims Champagne-Ardenne, SFR CAP-SANTE, Reims, France
- Department of Biopathology, Centre Hospitalier Universitaire de Reims, Hôpital Maison Blanche, Reims, France
| | - Anne Durlach
- Inserm UMR-S1250, P3Cell, University of Reims Champagne-Ardenne, SFR CAP-SANTE, Reims, France
- Department of Biopathology, Centre Hospitalier Universitaire de Reims, Hôpital Maison Blanche, Reims, France
| | - Maxime Dewolf
- Department of Respiratory Diseases, Centre Hospitalier Universitaire de Reims, Hôpital Maison Blanche, Reims, France
| | - Christine Gilles
- Laboratory of Tumor and Development Biology, GIGA-Cancer, University of Liège, Liège, Belgium
| | - Myriam Polette
- Inserm UMR-S1250, P3Cell, University of Reims Champagne-Ardenne, SFR CAP-SANTE, Reims, France
- Department of Biopathology, Centre Hospitalier Universitaire de Reims, Hôpital Maison Blanche, Reims, France
| | - Gaëtan Deslée
- Inserm UMR-S1250, P3Cell, University of Reims Champagne-Ardenne, SFR CAP-SANTE, Reims, France
- Department of Respiratory Diseases, Centre Hospitalier Universitaire de Reims, Hôpital Maison Blanche, Reims, France
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Wang Q, Tan X, Deng G, Fu S, Li J, Li Z. Dynamic changes in the systemic immune-inflammation index predict the prognosis of EGFR-mutant lung adenocarcinoma patients receiving brain metastasis radiotherapy. BMC Pulm Med 2022; 22:75. [PMID: 35241046 PMCID: PMC8895866 DOI: 10.1186/s12890-022-01866-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 02/17/2022] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND The systemic immune-inflammation index (SII) has recently emerged as a predictor of survival in non-small cell lung cancer patients. There is also tight correlation between radiotherapy and immune status, and brain metastases (BM) radiotherapy is an important treatment in patients with BM from lung adenocarcinoma harboring epidermal growth factor receptor (EGFR) mutations. Hence, this study aimed to present the prognostic value of SII and its dynamic changes during BM radiotherapy in EGFR-mutant lung adenocarcinoma patients with BM. METHODS Patients with EGFR-mutant lung adenocarcinoma who received BM radiotherapy between November 2011 and April 2021 were included in this retrospective study. The SII was calculated using data acquired within 1 week before the start of radiation treatment and 1 week before its completion. According to the cutoff value of SII before radiation treatment determined using receiver operating characteristic curve analyses, we divided the patients into a high group and a low group. Patients were further classified into high-high, high-low, low-low, and low-high groups based on dynamic changes in SII. Prognostic values of the SII and other factors were determined using the Kaplan-Meier method, as well as univariate and multivariate Cox analysis. RESULTS A total of 202 patients met the inclusion criteria, and the median overall survival (OS) of the entire cohort was 36 months. According to the SII cutoff of 859.79, an SII value below this cutoff was associated with longer OS (hazard ratio 0.6653, 95% confidence interval 0.4708-0.9402, P < 0.05). The patients in the low-low group, whose SII within 1 week before the start and end of BM radiotherapy were below the cutoff, had a median OS of 55.2 months, which was significantly longer than the OS in all other groups (P < 0.05). Univariate and multivariate analyses confirmed that dynamic SII change (P = 0.032), Lung-molGPA (P < 0.001), and thoracic radiation (P = 0.048) were independently correlated with OS. CONCLUSIONS The SII and its dynamic change may have a prognostic value in patients with EGFR-mutant lung adenocarcinoma treated with BM radiotherapy.
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Affiliation(s)
- Qi Wang
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, China.,Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Xiaojing Tan
- Department of Oncology, Dongying People's Hospital, Dongying, China
| | - Guangchuan Deng
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, China.,Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Shuai Fu
- Department of Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Jianbin Li
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, China. .,Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
| | - Zhenxiang Li
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, China.
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Systemic Inflammation Index and Tumor Glycolytic Heterogeneity Help Risk Stratify Patients with Advanced Epidermal Growth Factor Receptor-Mutated Lung Adenocarcinoma Treated with Tyrosine Kinase Inhibitor Therapy. Cancers (Basel) 2022; 14:cancers14020309. [PMID: 35053473 PMCID: PMC8773680 DOI: 10.3390/cancers14020309] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 01/01/2022] [Accepted: 01/05/2022] [Indexed: 02/07/2023] Open
Abstract
Simple Summary Patients with advanced epidermal growth factor receptor (EGFR)-mutated lung adenocarcinoma have been known to respond to first-line tyrosine kinase inhibitor (TKI) treatment. However, a subgroup of patients are non-responsive to the treatment, with poor survival outcomes, and those who are initially responsive may still experience resistance. A reliable prognostic tool may provide a valuable direction for tailoring individual treatment strategies in this clinical setting. With this aim, the present study explores the prognostic power of the combination of the systemic inflammation index (portrayed by hematological markers) and tumor glycolytic heterogeneity (characterized by 18F-fluorodeoxyglucose positron emission tomography images). The model integrating these two biomarkers could be used to improve risk stratification, and the subsequent personalized management strategy in patients with advanced EGFR-mutated lung adenocarcinoma. Abstract Tyrosine kinase inhibitors (TKIs) are the first-line treatment for patients with advanced epidermal growth factor receptor (EGFR)-mutated lung adenocarcinoma. Over half of patients failed to achieve prolonged survival benefits from TKI therapy. Awareness of a reliable prognostic tool may provide a valuable direction for tailoring individual treatments. We explored the prognostic power of the combination of systemic inflammation markers and tumor glycolytic heterogeneity to stratify patients in this clinical setting. One hundred and five patients with advanced EGFR-mutated lung adenocarcinoma treated with TKIs were retrospectively analyzed. Hematological variables as inflammation-induced biomarkers were collected, including the neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR), and systemic inflammation index (SII). First-order entropy, as a marker of heterogeneity within the primary lung tumor, was obtained by analyzing 18F-fluorodeoxyglucose positron emission tomography images. In a univariate Cox regression analysis, sex, smoking status, NLR, LMR, PLR, SII, and entropy were associated with progression-free survival (PFS) and overall survival (OS). After adjusting for confounders in the multivariate analysis, smoking status, SII, and entropy, remained independent prognostic factors for PFS and OS. Integrating SII and entropy with smoking status represented a valuable prognostic scoring tool for improving the risk stratification of patients. The integrative model achieved a Harrell’s C-index of 0.687 and 0.721 in predicting PFS and OS, respectively, outperforming the traditional TNM staging system (0.527 for PFS and 0.539 for OS, both p < 0.001). This risk-scoring model may be clinically helpful in tailoring treatment strategies for patients with advanced EGFR-mutated lung adenocarcinoma.
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Worldwide Prevalence of Epidermal Growth Factor Receptor Mutations in Non-Small Cell Lung Cancer: A Meta-Analysis. Mol Diagn Ther 2021; 26:7-18. [PMID: 34813053 PMCID: PMC8766385 DOI: 10.1007/s40291-021-00563-1] [Citation(s) in RCA: 61] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/17/2021] [Indexed: 01/22/2023]
Abstract
Background Identification of variable epidermal growth factor receptor (EGFR) gene mutations in non-small cell lung cancer (NSCLC) is important for the selection of appropriate targeted therapies. This meta-analysis was conducted to provide a worldwide overview of EGFR mutation and submutation (specifically exon 19 deletions, exon 21 L858R substitutions, and others) prevalence, and identify important covariates that influence EGFR mutation status in patients with advanced NSCLC to address this clinical data gap. Methods Embase® and MEDLINE® in Ovid were searched for studies published between 2004 and 2019 with cohorts of ≥ 50 adults with EGFR mutations, focusing on stage III/IV NSCLC (≤ 20% of patients with stage I/II NSCLC). Linear mixed-effects models were fitted to EGFR mutation endpoints using logistic transformation (logit), assuming a binomial distribution. The model included terms for an intercept reflecting European studies and further additive terms for other continents. EGFR submutations examined were exon 19 deletions, exon 21 L858R substitutions, and others. Results Of 3969 abstracts screened, 57 studies were included in the overall EGFR mutation analysis and 74 were included in the submutation analysis relative to the overall EGFR mutation population (Europe, n = 12; Asia, n = 51; North America, n = 5; Central America, n = 1; South America, n = 1; Oceania, n = 1; Global, n = 3). The final overall EGFR mutations model estimated Asian and European prevalence of 49.1% and 12.8%, respectively, and included an additive covariate for the proportion of male patients in a study. There were no significant covariates in the submutation analyses. Most submutations were actionable: exon 19 deletions (49.2% [Asia]; 48.4% [Europe]); exon 21 L858R substitutions (41.1% [Asia]; 29.9% [Europe]). Conclusions Although EGFR mutation prevalence was higher in Asian than Western countries, data support worldwide testing for EGFR overall and submutations to inform appropriate targeted treatment decisions. Supplementary Information The online version contains supplementary material available at 10.1007/s40291-021-00563-1.
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Baldessari C, Guaitoli G, Valoriani F, Bonacini R, Marcheselli R, Reverberi L, Pecchi A, Menozzi R, Torricelli P, Bertolini F, Barbieri F, Dominici M. Impact of body composition, nutritional and inflammatory status on outcome of non-small cell lung cancer patients treated with immunotherapy. Clin Nutr ESPEN 2021; 43:64-75. [PMID: 34024567 DOI: 10.1016/j.clnesp.2021.02.017] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 02/21/2021] [Accepted: 02/22/2021] [Indexed: 12/25/2022]
Abstract
BACKGROUND AND AIMS Body composition and balance of nutritional and inflammatory status are important for the immune system. Alterations of these aspects may impact on response, outcome and toxicities of immunotherapy. In this review we try to clarify some definitions and tools used for the assessment of the different aspects of nutritional disorders, body composition and inflammatory status with a focus on lung cancer. METHODS We primary investigate the definitions of malnutrition, cachexia, sarcopenia and overweight. Secondary, tools used to measure body composition, nutritional and inflammatory status, mainly in lung cancer are reviewed. RESULTS All these features, in the time of precision medicine may improve assessment and selection of patients, incorporating also early palliative care in standard therapy. CONCLUSIONS A multimodal approach based on nutrition assessment and physical exercise should be evaluated to improve aspects of the immune response against cancer and to propose the best treatment to every patient.
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Affiliation(s)
- Cinzia Baldessari
- Department of Oncology and Hematology, University of Modena and Reggio Emilia, Azienda Ospedaliero Universitaria of Modena, Italy.
| | - Giorgia Guaitoli
- Department of Oncology and Hematology, University of Modena and Reggio Emilia, Azienda Ospedaliero Universitaria of Modena, Italy
| | - Filippo Valoriani
- Unit of Metabolic Disorder and Clinical Nutrition, Department of Specialist Medicines, Azienda Ospedaliero Universitaria of Modena, Italy
| | - Riccardo Bonacini
- Department of Radiology, University of Modena and Reggio Emilia, Azienda Ospedaliero Universitaria of Modena, Italy
| | - Raffaella Marcheselli
- Department of Diagnostic, Clinical and Public Health Medicine, University of Modena and Reggio Emilia, Modena, Italy
| | - Linda Reverberi
- Unit of Metabolic Disorder and Clinical Nutrition, Department of Specialist Medicines, Azienda Ospedaliero Universitaria of Modena, Italy
| | - Annarita Pecchi
- Department of Radiology, University of Modena and Reggio Emilia, Azienda Ospedaliero Universitaria of Modena, Italy
| | - Renata Menozzi
- Unit of Metabolic Disorder and Clinical Nutrition, Department of Specialist Medicines, Azienda Ospedaliero Universitaria of Modena, Italy
| | - Pietro Torricelli
- Department of Radiology, University of Modena and Reggio Emilia, Azienda Ospedaliero Universitaria of Modena, Italy
| | - Federica Bertolini
- Department of Oncology and Hematology, University of Modena and Reggio Emilia, Azienda Ospedaliero Universitaria of Modena, Italy
| | - Fausto Barbieri
- Department of Oncology and Hematology, University of Modena and Reggio Emilia, Azienda Ospedaliero Universitaria of Modena, Italy
| | - Massimo Dominici
- Department of Oncology and Hematology, University of Modena and Reggio Emilia, Azienda Ospedaliero Universitaria of Modena, Italy
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Ju Q, Huang T, Zhang Y, Wu L, Geng J, Mu X, Yan T, Zhang J. Systemic immune-inflammation index predicts prognosis in patients with different EGFR-mutant lung adenocarcinoma. Medicine (Baltimore) 2021; 100:e24640. [PMID: 33578585 PMCID: PMC7886494 DOI: 10.1097/md.0000000000024640] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Accepted: 01/14/2021] [Indexed: 01/05/2023] Open
Abstract
Lung cancer is the most common type of cancer worldwide with a high mortality rate. The specific tyrosine kinase inhibitors of epidermal growth factor receptor (EGFR) have made enormous strides in non-small-cell lung cancer (NSCLC) treatment. The novel systemic immune-inflammation index (SII), a parameter that integrates lymphocytes, neutrophils, and platelets, has been found to play the vital role of a marker for predicting survival and recrudescence in various tumors.We retrospectively examined 102 patients with different EGFR-mutant lung adenocarcinomas. Survival analysis was performed using the Kaplan-Meier method with the log-rank test. Cut-off points were identified using the receiver operating characteristic curves with the maximum log-rank values. The Cox proportional hazards regression, expressed as p value, hazards regression, and 95% confidence interval, was conducted to assess the prognostic values of variables in overall survival (OS)/ progression-free survival (PFS).Lower SII was associated with prolonged survival in patients with different EGFR mutant lung adenocarcinomas in both variable and multivariable analyses.SII before treatment was a powerful indicator for the PFS and OS of patients who received the first-generation EGFR-TKI.
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Affiliation(s)
- Qing Ju
- Department of Pulmonary and Critical Care Medicine, Xijing Hospital, Fourth Military Medical University, 127 Changle West Road, Xi’an, Shaanxi
| | - Tingping Huang
- Department of Gastroenterology, Shandong Provincial Hospital, Cheeloo College of Medicine
| | - Yong Zhang
- Department of Pulmonary and Critical Care Medicine, Xijing Hospital, Fourth Military Medical University, 127 Changle West Road, Xi’an, Shaanxi
| | - Lei Wu
- Department of Pulmonary and Critical Care Medicine, Xijing Hospital, Fourth Military Medical University, 127 Changle West Road, Xi’an, Shaanxi
| | | | - Xiaoyan Mu
- Department of Healthcare Respiratory Medicine, Shandong Provincial Hospital Affiliated to Shandong University
| | - Tao Yan
- Department of Thoracic surgery, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, PR China
| | - Jian Zhang
- Department of Pulmonary and Critical Care Medicine, Xijing Hospital, Fourth Military Medical University, 127 Changle West Road, Xi’an, Shaanxi
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Gu W, Hu M, Wang W, Shi C, Mei J. Development and Validation of a Novel Nomogram for Predicting Tumor-Distant-Metastasis in Patients with Early T1-2 Stage Lung Adenocarcinoma. Ther Clin Risk Manag 2020; 16:1213-1225. [PMID: 33328735 PMCID: PMC7735943 DOI: 10.2147/tcrm.s272748] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2020] [Accepted: 11/23/2020] [Indexed: 12/25/2022] Open
Abstract
Background Distant metastasis in early T1-2 (diameter≤5 cm) stage lung adenocarcinoma (ET-LUAD) patients largely affect treatment strategies in clinical practice. However, the associated mechanism remains unclear and related studies is less. This study aimed to establish and validate a novel nomogram to predict the risk of distant metastasis in ET-LUAD. Methods A total of 258 patients diagnosed with ET-LUAD and not receiving any treatment were recruited into this study. The patients were randomly divided into a training cohort and validation cohort in a ratio of 1:2. Univariate and multivariate logistic regression analysis was used to select the most significant predictive risk factors associated with distant metastasis in the training cohort. The established nomogram was validated by the consistency index (C-index), calibration curve, and decision curve analysis (DCA). Results There were 124 patients with confirmed distant metastasis and 134 patients with non-distant metastases ET-LUAD were enrolled in the study. Multivariate logistic hazards regression analysis identified independent risk factors associated with distant metastasis to include platelet-to-lymphocyte ratios (PLR), lactate dehydrogenase (LDH), neural-specific enolase (NSE), carcinoembryonic antigen (CEA) and cytokeratin 19 fragments (Cyfra211), which were included in the establishment of the nomogram. The nomogram achieved a high consistency (C-index=0.792), good calibration, and high clinical application value in the validation cohort. Conclusion The established nomogram can be used to predict distant metastasis in high-risk ET-LUAD nonmetastasis patients and can also be used by doctors to guide preventive and individualized treatment for ET-LUAD patients.
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Affiliation(s)
- WeiGuo Gu
- Department of Pathology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, People's Republic of China.,First Clinical Medical College, Nanchang University, Nanchang, Jiangxi, People's Republic of China
| | - MingBin Hu
- Department of Pathology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, People's Republic of China.,First Clinical Medical College, Nanchang University, Nanchang, Jiangxi, People's Republic of China
| | - WeiJia Wang
- Department of Pathology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, People's Republic of China
| | - Chao Shi
- Department of Oncology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, People's Republic of China
| | - JinHong Mei
- Department of Pathology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, People's Republic of China
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Wang Y, Li Y, Chen P, Xu W, Wu Y, Che G. Prognostic value of the pretreatment systemic immune-inflammation index (SII) in patients with non-small cell lung cancer: a meta-analysis. ANNALS OF TRANSLATIONAL MEDICINE 2019; 7:433. [PMID: 31700869 DOI: 10.21037/atm.2019.08.116] [Citation(s) in RCA: 66] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Background The objective of this study is to explore the association between the pretreatment systemic immune-inflammation index (SII) and prognosis in non-small cell lung cancer (NSCLC) patients. Methods A systemic literature search of PubMed, EMBASE, the Web of Science, the Cochrane Library, China National Knowledge Infrastructure (CNKI), Wanfang, VIP and SinoMed databases was performed from January 1, 1966 to April 15, 2019, to identify potential studies that assessed the prognostic role of the pretreatment SII in NSCLC. The hazard ratio (HR) and 95% confidence interval (CI) were combined to evaluate the correlation of the pretreatment SII with overall survival (OS), disease-free survival (DFS), progression-free survival (PFS) and cancer-specific survival (CSS) in NSCLC patients. Results A total of 9 studies involving 2,441 patients were eventually included. An elevated pretreatment SII indicated significantly poorer OS (HR =1.88, 95% CI: 1.50-2.36; P<0.001) with high heterogeneity (I2=60.6%, P=0.019), DFS/PFS (HR =2.50, 95% CI: 1.20-5.20; P=0.014) with high heterogeneity (I2=58.2%, P=0.092) and CSS (HR =1.852, 95% CI: 1.185-2.915; P=0.007). Subgroup analyses further verified the above results. In addition, compared with the neutrophil to lymphocyte ratio (NLR) and the platelet to lymphocyte ratio (PLR), the SII showed a much higher prognostic value in NSCLC. Conclusions The pretreatment SII may serve as a useful prognostic indicator in NSCLC and contribute to prognosis evaluation and treatment strategy formulation. However, more well-designed studies are warranted to verify our findings.
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Affiliation(s)
- Yan Wang
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Yina Li
- West China School of Medicine, Sichuan University, Chengdu 610041, China
| | - Pingrun Chen
- West China School of Medicine, Sichuan University, Chengdu 610041, China
| | - Wenying Xu
- West China School of Medicine, Sichuan University, Chengdu 610041, China
| | - Yanming Wu
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Guowei Che
- Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China
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