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Sandfeld-Paulsen B, Aggerholm-Pedersen N, Winther-Larsen A. Pretreatment Platelet Count is a Prognostic Marker in Lung Cancer: A Danish Registry-based Cohort Study. Clin Lung Cancer 2023; 24:175-183. [PMID: 36646586 DOI: 10.1016/j.cllc.2022.12.012] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 12/03/2022] [Accepted: 12/05/2022] [Indexed: 12/29/2022]
Abstract
BACKGROUND Thrombocytosis has been associated with a poor prognosis in a wide range of malignancies. However, the results have been conflicting for lung cancer. Therefore, we evaluated the prognostic value of platelet count in a large cohort of lung cancer patients. PATIENTS AND METHODS All lung cancer patients diagnosed in The Central Denmark Region from 2009 to 2018 were included in the study. Data from the Danish Lung Cancer Registry were combined with data from the clinical laboratory information system on pretreatment platelet count. Platelet count was defined as low, normal, or high based on being below, within, or above the reference intervals. The prognostic value of platelet count was assessed by the Cox proportional hazard model. C-statistics were conducted to investigate if the platelet count added additional prognostic value to existing prognostic markers. RESULTS Totally, 6,758 patients with non-small-cell lung cancer (NSCLC) and 1150 patients with small-cell lung cancer (SCLC) were included. Low and high platelet count were significantly associated with decreased overall survival (OS) in NSCLC patients (low: adjusted hazard ratio (HR)=1.75 (95% confidence interval [CI]: 1.49-2.06); high: adjusted HR=1.24 (95% CI: 1.16-1.33)). In SCLC patients, only low platelet count was significantly associated with decreased OS (adjusted HR = 2.71 [95% CI: 2.02-3.65]). C-statistics showed that the prognostic models were significantly improved by the addition of platelet count for both NSCLC and SCLC patients (P < .0001). CONCLUSION Low and high platelet count were adverse prognostic factors in NSCLC patients, while only low platelet count was a prognostic marker in SCLC patients.
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Affiliation(s)
| | - Ninna Aggerholm-Pedersen
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Department of Experimental Oncology, Aarhus University Hospital, Aarhus, Denmark.
| | - Anne Winther-Larsen
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Department of Clinical Biochemistry, Aarhus University Hospital, Aarhus, Denmark.
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Bartalis E, Gergics M, Tinusz B, Földi M, Kiss S, Németh D, Solymár M, Szakács Z, Hegyi P, Mezösi E, Bajnok L. Prevalence and Prognostic Significance of Hyponatremia in Patients With Lung Cancer: Systematic Review and Meta-Analysis. Front Med (Lausanne) 2021; 8:671951. [PMID: 34950676 PMCID: PMC8688712 DOI: 10.3389/fmed.2021.671951] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Accepted: 10/29/2021] [Indexed: 01/15/2023] Open
Abstract
Background: The prevalence of hyponatremia is highly variable among patients with lung cancer. However, its prevalence and prognostic significance in subgroups of patients with lung cancer have not yet been evaluated in a meta-analysis. Methods: We have registered our meta-analysis and review protocol to the PROSPERO International Prospective Register of Systematic Reviews, with the following registration number: CRD42020167013. A systematic search was done in the following sources: MEDLINE, Embase, CENTRAL, Web of Science, ClinicalTrials.gov, a WHO Global Health Library. Results: We identified a total of 8,962 potentially eligible studies, and we included 31 articles in our evaluation. The prevalence of hyponatremia in patients with lung cancer varied between 3 and 94.8% with an average of 25% without any significant differences between the following subgroups: histotype, gender, age, Eastern Cooperative Oncology Group (ECOG) state, and the extent of disease. The overall survival (OS) was significantly lower in hyponatremic compared to normonatremic patients at 10 months [RR.59 (95% CI.47-0.74), p < 0.001] and at 20 months [RR.44 (95% CI.33-0.59), p < 0.001], with worse survival rates in non-small cell lung cancer (NSCLC) [RR.27 (95% CI.12-0.44), p < 0.001] than in small cell lung cancer (SCLC) [RR.42 (95% CI.27-0.57), p < 0.001]. If hyponatremia was corrected, OS at 10 months was significantly higher than in the uncorrected hyponatremia group [RR 1.83 (95% CI 1.37-2.44), p < 0.001], but, at 20 months, no statistically significant difference could be found between these subgroups [RR 2.65 (95% CI.94-7.50), p = 0.067]. Conclusions: Patients with lung cancer diagnosed with hyponatremia, especially patients with NSCLC, seem to have significantly lower survival rates than normonatremic patients. If hyponatremia remains uncorrected, the mortality rates might be even higher.
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Affiliation(s)
- Eszter Bartalis
- Medical School, Institute for Translational Medicine, University of Pécs, Pécs, Hungary
- University of Medicine, Pharmacy, Science and Technology of Târgu Mureş, Târgu Mureş, Romania
| | - Marin Gergics
- First Department of Medicine, Medical School, University of Pécs, Pécs, Hungary
| | - Benedek Tinusz
- Medical School, Institute for Translational Medicine, University of Pécs, Pécs, Hungary
- Szentágothai Research Centre, University of Pécs, Pécs, Hungary
| | - Mária Földi
- Medical School, Institute for Translational Medicine, University of Pécs, Pécs, Hungary
- Szentágothai Research Centre, University of Pécs, Pécs, Hungary
- Doctoral School of Clinical Medicine, University of Szeged, Szeged, Hungary
| | - Szabolcs Kiss
- Medical School, Institute for Translational Medicine, University of Pécs, Pécs, Hungary
- Szentágothai Research Centre, University of Pécs, Pécs, Hungary
- Doctoral School of Clinical Medicine, University of Szeged, Szeged, Hungary
| | - Dávid Németh
- Medical School, Institute for Translational Medicine, University of Pécs, Pécs, Hungary
- Szentágothai Research Centre, University of Pécs, Pécs, Hungary
| | - Margit Solymár
- Medical School, Institute for Translational Medicine, University of Pécs, Pécs, Hungary
- Szentágothai Research Centre, University of Pécs, Pécs, Hungary
| | - Zsolt Szakács
- Medical School, Institute for Translational Medicine, University of Pécs, Pécs, Hungary
- Szentágothai Research Centre, University of Pécs, Pécs, Hungary
| | - Péter Hegyi
- Medical School, Institute for Translational Medicine, University of Pécs, Pécs, Hungary
- Szentágothai Research Centre, University of Pécs, Pécs, Hungary
| | - Emese Mezösi
- First Department of Medicine, Medical School, University of Pécs, Pécs, Hungary
| | - László Bajnok
- First Department of Medicine, Medical School, University of Pécs, Pécs, Hungary
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3
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Ma Y, Li G, Yu M, Sun X, Nian J, Gao Y, Li X, Ding T, Wang X. Prognostic significance of thrombocytosis in lung cancer: a systematic review and meta-analysis. Platelets 2021; 32:919-927. [PMID: 32892682 DOI: 10.1080/09537104.2020.1810653] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
A potential relationship between poor prognosis and thrombocytosis has been suggested by previous studies in lung cancer, but the conclusions continued to be controversial. Here, we performed a meta-analysis to explore the prognostic impact of thrombocytosis in lung cancer. The Cochrane Library, EMBASE and PubMed databases were comprehensively and systematically retrieved from establishment to May 5, 2020. Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were applied to evaluate overall effects. Heterogeneity was assessed using I2 statistics and Cochran's Q test. Sensitivity and subgroup analyses were performed to analyze the sources of heterogeneity. Publication bias was examined using the Egger's test and pooled HR was regulated using the trim-and-fill approach when publication bias was observed. A total of 37 studies including 14,833 patients were enrolled in the meta-analysis. Thrombocytosis was significantly correlated to poor overall survival (HR 1.033; 95% CI 1.017-1.050), disease-free survival (HR 1.568; 95% CI 1.276-1.928), and progression-free survival (HR 1.653; 95% CI 1.069-2.556). Although publication bias was identified, rectification for this bias using the trim-and-fill approach did not change the combined HR substantially. In conclusion, this meta-analysis result suggested that thrombocytosis is a predictor of poor prognosis in lung cancer.
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Affiliation(s)
- Yunfei Ma
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China
| | - Guangda Li
- School of Graduates, Beijing University of Chinese Medicine, Beijing, China
| | - Mingwei Yu
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China
| | - Xu Sun
- The Tumor Hospital Affiliated to Zhengzhou University, Zhengzhou, China
| | - Jiayun Nian
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China
| | - Yu Gao
- School of Graduates, Beijing University of Chinese Medicine, Beijing, China
| | - Xiaoxiao Li
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China
| | - Tongjing Ding
- School of Graduates, Beijing University of Chinese Medicine, Beijing, China
| | - Xiaomin Wang
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China
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4
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Ma X, Zhang Z, Chen X, Zhang J, Nie J, Da L, Hu W, Tian G, Wu D, Han J, Han S, Long J, Wang Y, Fang J. Prognostic factor analysis of patients with small cell lung cancer: Real-world data from 988 patients. Thorac Cancer 2021; 12:1841-1850. [PMID: 33955685 PMCID: PMC8201544 DOI: 10.1111/1759-7714.13846] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Revised: 12/31/2020] [Accepted: 12/31/2020] [Indexed: 12/25/2022] Open
Abstract
Background Small cell lung cancer (SCLC) is characterized by aggressive spread and poor prognosis, but has limited treatment options. Results of prognostic factors from randomized trials on treatment arrangement are conflicting and large‐scale real‐world analysis is lacking. Methods Patients diagnosed SCLC between 2008 and 2018 in Peking University Cancer Hospital were included in this study. Kaplan–Meier methods were adopted, and univariate analysis and multivariate Cox regression models were constructed to analyze prognostic factors. Results Among 1045 patients who presented to our center, 988 eligible patients were identified. Median overall survival (OS) was 16.0 months for the whole group, 24.0 months and 11.0 months for limited stage small cell lung cancer (LS‐SCLC) and extensive stage small cell lung cancer (ES‐SCLC), separately. Limited‐stage, good performance status (PS) (ECOG 0–1), response to primary systemic treatment, and patients who received initiative irradiation and three or more lines of chemotherapy were predicted to have better OS in the whole group. Only response to first‐line systemic therapy and prophylactic cranial irradiation (PCI) were independent prognostic factors of survival in LS‐SCLC; while good PS (ECOG 0–1), without liver, bone, or subcutaneous metastases, response to first‐line therapy, initial local irradiation, and three or more lines of systemic therapy predicted a favorable prognosis in ES‐SCLC. Conclusions The present study retrieved from large real–world data suggested that response to primary systemic therapy and aggressive radiotherapy are independent prognostic factors for SCLC. PCI and initiative irradiation for original or metastatic sites improved the OS in LS‐SCLC and ES‐SCLC, respectively.
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Affiliation(s)
- Xiangjuan Ma
- Department of Thoracic Oncology II, Peking University Cancer Hospital & Institute, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing, China
| | - Ziran Zhang
- Department of Thoracic Oncology II, Peking University Cancer Hospital & Institute, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing, China
| | - Xiaoling Chen
- Department of Thoracic Oncology II, Peking University Cancer Hospital & Institute, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing, China
| | - Jie Zhang
- Department of Thoracic Oncology II, Peking University Cancer Hospital & Institute, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing, China
| | - Jun Nie
- Department of Thoracic Oncology II, Peking University Cancer Hospital & Institute, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing, China
| | - Ling Da
- Department of Thoracic Oncology II, Peking University Cancer Hospital & Institute, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing, China
| | - Weiheng Hu
- Department of Thoracic Oncology II, Peking University Cancer Hospital & Institute, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing, China
| | - Guangming Tian
- Department of Thoracic Oncology II, Peking University Cancer Hospital & Institute, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing, China
| | - Di Wu
- Department of Thoracic Oncology II, Peking University Cancer Hospital & Institute, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing, China
| | - Jindi Han
- Department of Thoracic Oncology II, Peking University Cancer Hospital & Institute, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing, China
| | - Sen Han
- Department of Thoracic Oncology II, Peking University Cancer Hospital & Institute, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing, China
| | - Jieran Long
- Department of Thoracic Oncology II, Peking University Cancer Hospital & Institute, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing, China
| | - Yang Wang
- Department of Thoracic Oncology II, Peking University Cancer Hospital & Institute, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing, China
| | - Jian Fang
- Department of Thoracic Oncology II, Peking University Cancer Hospital & Institute, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing, China
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5
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Wang Z, Mo M, Zhou C, Feng X, Shen J, Ye T, Zhang Y, Hu H, Chen H, Zheng Y. Time-varying effect of sex on prognosis of lung adenocarcinoma surgical patients in China. Thorac Cancer 2021; 12:1699-1707. [PMID: 33939309 PMCID: PMC8169287 DOI: 10.1111/1759-7714.13959] [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: 01/24/2021] [Revised: 03/14/2021] [Accepted: 03/22/2021] [Indexed: 12/25/2022] Open
Abstract
Background Little is known about the prognostic advantage of sex for pulmonary adenocarcinoma among Chinese patients. In this study, we aimed to investigate the true sex differences in prognosis by adjusting for confounders and to explore whether the differences were time‐varying. Methods We identified 4438 lung adenocarcinoma patients who underwent surgery at a regional Cancer Center of China from 2008 to 2016, retrospectively. Sex, age group, smoking history, year of diagnosis and pathological stage were collected. Time‐dependent Cox regression models with inverse probability of treatment weighting (IPTW) based on propensity score were used to assess the effect of sex and account for confounders. Landmark analyses were conducted to assess survival before, and after, five years. Results Of these patients, 1761 (39.7%) were men and 2677 (60.3%) were women. Median follow‐up time was 52.6 months. After IPTW adjustment, women were found to have significantly better survival than men varying with time in both crude and IPTW models (hazard ratio [HR] [t] = 0.453*1.015t, where t is the length of time from treatment and its unit is month, p < 0.001). Women had significantly better survival than men within 0–5 years after surgery (HR = 0.763, 95% CI: 0.649–0.897, p = 0.001), whereas there was no difference after five years (HR = 1.135, 95% CI: 0.803–1.605, p = 0.472). In subgroup analysis, women in the 61–71+ age group, in the more than 20 year packs group, pathological stage 0–IB group, and 2013–2016 diagnosis period group revealed the same prognostic pattern. Conclusions Compared with men, women had better survival after surgical resection of lung adenocarcinoma, especially those who were older and nonsmokers or heavy‐smokers and were pathological stage 0–IB in early years, while the advantage for women diminished with time.
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Affiliation(s)
- Zezhou Wang
- Department of Cancer Prevention, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Miao Mo
- Department of Cancer Prevention, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Changming Zhou
- Department of Cancer Prevention, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xiaoshuang Feng
- Department of Cancer Prevention, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jie Shen
- Department of Cancer Prevention, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ting Ye
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Department of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.,Institute of Thoracic Oncology, Fudan University, Shanghai, China.,State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Yang Zhang
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Department of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.,Institute of Thoracic Oncology, Fudan University, Shanghai, China.,State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Hong Hu
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Department of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.,Institute of Thoracic Oncology, Fudan University, Shanghai, China.,State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Haiquan Chen
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Department of Thoracic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.,Institute of Thoracic Oncology, Fudan University, Shanghai, China.,State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Ying Zheng
- Department of Cancer Prevention, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Shanghai Engineering Research Center of Artificial Intelligence Technology for Tumor Diseases, Shanghai, China
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6
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Mei T, Xiu W, Yang X, Tian X, Yu Y, Xu Y, Zhou L, Zhou X, Liu Y, Zou B, Xue J, Ao R, Lu Y, Gong Y. Development and validation of a nomogram for assessing survival in extensive-stage small-cell lung cancer patients with superior vena cava syndrome referred for thoracic radiotherapy: a comparison of upfront vs. consolidative approaches. Strahlenther Onkol 2021; 197:1072-1083. [PMID: 33909099 DOI: 10.1007/s00066-021-01783-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Accepted: 03/30/2021] [Indexed: 02/05/2023]
Abstract
PURPOSE This study sought to design and validate a nomogram capable of predicting outcomes in extensive-stage small-cell lung cancer (ES-SCLC) patients with superior vena cava syndrome (SVCS) based upon the timing of their radiotherapy treatment. METHODS We retrospectively analyzed data from 175 ES-SCLC patients with SCVS, comparing outcomes between those that underwent upfront thoracic radiotherapy (initial radiotherapy with simultaneous chemotherapy) and those that underwent consolidative thoracic radiotherapy (following 4-6 cycles of chemotherapy). Significant predictors of patient outcomes were identified using a Cox proportional hazard model and were used to construct our nomogram. This model was subsequently validated using receiver operating characteristic (ROC) curves, concordance index (C-index) values, and a risk classification system in order to evaluate its discriminative and predictive accuracy. RESULTS The overall survival (OS) of ES-SCLC patients with SVCS that underwent chemotherapy (CT), consolidative thoracic radiotherapy (cc-TRT), and upfront thoracic radiotherapy (cu-TRT) was 8.2, 11.7, and 14.9 months, respectively (p < 0.001), with respective progression-free survival (PFS) durations of 3.3, 5.0, and 7.3 months (p < 0.001). A multivariate regression analysis revealed age, gender, ECOG performance status, sites of tumor metastasis, and treatment approach to all be independent predictors of survival outcomes. A nomogram was therefore developed incorporating these factors. C‑index values upon internal and external validation of this nomogram were 0.7625 and 0.7959, respectively, and ROC and calibration curves revealed this model to be accurate and consistent. CONCLUSIONS We found that upfront thoracic radiotherapy in combination with chemotherapy may be associated with a positive impact on outcomes in ES-SCLC patients with SVCS.
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Affiliation(s)
- Ting Mei
- Department of Thoracic Oncology, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, 610041, Chengdu, China
| | - Weigang Xiu
- Department of Thoracic Oncology, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, 610041, Chengdu, China
| | - Xuexi Yang
- Department of Thoracic Oncology, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, 610041, Chengdu, China
| | - Xiaoman Tian
- Department of Oncology, Chengdu Jinniu District People's Hospital, 610031, Chengdu, China
| | - Yang Yu
- Department of Thoracic Oncology, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, 610041, Chengdu, China
| | - Yong Xu
- Department of Thoracic Oncology, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, 610041, Chengdu, China
| | - Lin Zhou
- Department of Thoracic Oncology, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, 610041, Chengdu, China
| | - Xiaojuan Zhou
- Department of Thoracic Oncology, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, 610041, Chengdu, China
| | - Yongmei Liu
- Department of Thoracic Oncology, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, 610041, Chengdu, China
| | - Bingwen Zou
- Department of Thoracic Oncology, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, 610041, Chengdu, China
| | - Jianxin Xue
- Department of Thoracic Oncology, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, 610041, Chengdu, China
| | - Rui Ao
- Department of Oncology, Sichuan Provincial People's Hospital, 610072, Chengdu, China
| | - You Lu
- Department of Thoracic Oncology, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, 610041, Chengdu, China
| | - Youling Gong
- Department of Thoracic Oncology, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, 610041, Chengdu, China.
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7
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Ma Y, Li G, Li X, Gao Y, Ding T, Yang G, Zhang Y, Nian J, Yu M, Wang X. Clinical characteristics and prognostic analysis of Lung Cancer patients with Hypercoagulability: A single-center, retrospective, real-world study. J Cancer 2021; 12:2968-2974. [PMID: 33854597 PMCID: PMC8040890 DOI: 10.7150/jca.46600] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Accepted: 03/01/2021] [Indexed: 02/05/2023] Open
Abstract
Objective: We explored the clinical regularity and prognosis of lung carcinoma (LC) patients with hypercoagulability, which is often associated with the occurrence and development of tumors. Methods: This retrospective study analyzed 624 LC patients diagnosed from 2010-2017 in the Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, China. Kaplan-Meier analysis was used to estimate survival and the log-rank test was used to identify differences in survival between groups. The predictive power of a hypercoagulation model was tested using receiver operating characteristic (ROC) curve analysis. Univariate and multivariate Cox regression analyses were performed to explore independent factors associated with survival. A logistic regression model was used to explore factors related to hypercoagulability. The diagnostic power of relevant influencing factors on hypercoagulability was tested using ROC curve analysis. Results: Of 624 patients in the study, 161(25.8%) had hypercoagulability and 463 did not (normal group). The overall survival (OS) of the hypercoagulability group was significantly lower than the normal group (P < 0.0001). The ROC curve showed that the predictive power of the hypercoagulability model was better than that of a single coagulation indicator (P < 0.01). Both univariate and multivariate Cox regression analyses showed that hypercoagulability was an independent factor affecting the prognosis of LC (P<0.0001). The results of the logistic regression analysis showed that clinical stage (P < 0.05), cytokeratin 19 fragment (Cyfra211) (P < 0.05), and the platelet-to-lymphocyte ratio (PLR) (P < 0.05) were positively correlated with hypercoagulability. When combining clinical stage, Cyfra211, and the PLR to predict hypercoagulability, the area under the ROC curve was 0.797 (P < 0.01). Conclusions: In LC, hypercoagulability is an independent factor associated with poor OS and could be a prognostic factor.
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Affiliation(s)
- Yunfei Ma
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China
| | - Guangda Li
- Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Xiaoxiao Li
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China
| | - Yu Gao
- Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Tongjing Ding
- Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Guowang Yang
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China
| | - Yi Zhang
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China
| | - Jiayun Nian
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China
| | - Mingwei Yu
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China
| | - Xiaomin Wang
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China
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8
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Barlow M, Hamilton W, Ukoumunne OC, Bailey SER. The association between thrombocytosis and subtype of lung cancer: a systematic review and meta-analysis. Transl Cancer Res 2021; 10:1249-1260. [PMID: 35116452 PMCID: PMC8798371 DOI: 10.21037/tcr-20-3287] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Accepted: 12/17/2020] [Indexed: 01/24/2023]
Abstract
Background Thrombocytosis is associated with poor lung cancer prognosis and has recently been identified as having a high positive predictive value in lung cancer detection. Lung cancer has multiple histological and genetic subtypes and it is not known whether platelet levels differ across these subtypes, or whether thrombocytosis is predictive of a particular subtype. Methods PubMed and Embase were systematically searched for studies that reported pre-treatment platelet count, as either averages or proportion of patients with thrombocytosis, by subtype of lung cancer using a pre-specified search strategy. The Newcastle-Ottowa scale was used to assess study quality and risk of bias. Suitable studies were synthesised in meta-analyses and subgroup analyses examined for differences across subtypes. Results The prevalence of pre-treatment thrombocytosis across all lung cancer patients was 27% (95% CI: 17% to 37%). By subtype, this was 22% (95% CI: 7% to 41%) for adenocarcinoma, 28% (95% CI: 15% to 43%) for squamous cell carcinoma (SCC), 36% (95% CI: 13% to 62%) for large cell carcinoma (LCC), and 30% (95% CI: 8% to 58%) for small cell lung cancer (SCLC). The pooled mean platelet count for lung cancer patients was 289×109/L (95% CI: 268 to 311). By subtype, this was 282×109/L (95% CI: 259 to 306) for adenocarcinoma, 297×109/L (95% CI: 238 to 356) for SCC, 290×109/L (95% CI: 176 to 404) for LCC, and 293×109/L (95% CI: 244 to 342) for SCLC. There was no difference in thrombocytosis prevalence (P=0.76) or mean platelet count (P=0.96) across the subtypes. Conclusions These findings suggest thrombocytosis is no more indicative of one lung cancer subtype over another. We therefore conclude a high platelet count is likely to be generic across all lung cancer subtypes.
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Affiliation(s)
- Melissa Barlow
- University of Exeter Medical School, St Luke's Campus, Exeter, UK
| | - Willie Hamilton
- University of Exeter Medical School, St Luke's Campus, Exeter, UK
| | - Obioha C Ukoumunne
- NIHR ARC, SW Peninsula, University of Exeter Medical School, St Luke's Campus, Exeter, UK
| | - Sarah E R Bailey
- University of Exeter Medical School, St Luke's Campus, Exeter, UK
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Sandfeld-Paulsen B, Aggerholm-Pedersen N, Winther-Larsen A. Hyponatremia in lung cancer: Incidence and prognostic value in a Danish population-based cohort study. Lung Cancer 2021; 153:42-48. [PMID: 33454516 DOI: 10.1016/j.lungcan.2020.12.038] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Revised: 12/16/2020] [Accepted: 12/28/2020] [Indexed: 10/22/2022]
Abstract
OBJECTIVES Hyponatremia is a common electrolyte disorder in lung cancer patients, especially in patients with small-cell lung cancer (SCLC). It has been proposed as a prognostic indicator of higher mortality; however, data have been conflicting. Here, we determine the incidence and prognostic impact of pretreatment hyponatremia in a large Danish registry-based cohort of lung cancer patients. MATERIAL AND METHODS Data on lung cancer patients diagnosed from January 2009 to June 2018 in The Central Denmark Region were extracted from the Danish Lung Cancer Registry and combined with data on the pretreatment sodium level extracted from the clinical laboratory information system. Hyponatremia was defined as a sodium level <135 mmol/l. Cox proportional hazard models assessed the prognostic value of hyponatremia on overall survival (OS) in patients with non-small cell lung cancer (NSCLC) and patients with SCLC. RESULTS A total of 6995 patients with NSCLC and 1171 with SCLC were included. The hyponatremia incidence was 16 % among patients with NSCLC and 26 % among patients with SCLC. Hyponatremia was associated with an inferior OS in patients with NSCLC (<135 mmol/l: median 0.46 years (95 % CI: 0.41-0.51) vs. ≥ 135 mmol/l: median 1.05 years (95 % CI: 1.00-1.11)), p < 0.001; adjusted hazard ratio (HR) = 1.45 (95 % CI: 1.34-1.56)) as well as in patients with SCLC in (<135 mmol/l: median 0.67 year (95 % CI: 0.58-0.73) vs. ≥ 135 mmol/l: median 0.73 years (95 % CI: 0.67-0.78); p = 0.0035; adjusted HR = 1.21 (95 % CI: 1.04-1.41)). CONCLUSION The incidence of pretreatment hyponatremia is high in patients with SCLC as well as with NSCLC. Hyponatremia seems to be an independent predictor of inferior survival in lung cancer patients, especially in patients with NSCLC.
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Affiliation(s)
| | | | - Anne Winther-Larsen
- Department of Clinical Biochemistry, Randers Regional Hospital, Randers, Denmark.
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Wu R, Li C, Wang Z, Fan H, Song Y, Liu H. A narrative review of progress in diagnosis and treatment of small cell lung cancer patients with hyponatremia. Transl Lung Cancer Res 2020; 9:2469-2478. [PMID: 33489807 PMCID: PMC7815354 DOI: 10.21037/tlcr-20-1147] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Small cell lung cancer (SCLC) is one of the malignant cancers of lung tumors, and hyponatremia, defined as serum sodium concentration (Na+) lower than 135 mmol/L, is the most common complication of solid tumors, with an incidence of up to 18.9% and a negative impact on quality of life in SCLC. As a prognostic index of SCLC, timely monitoring and correcting of hyponatremia is of great clinical significance for prolonging the survival period of patients. In the explore of new drugs for small cell lung cancer, it is necessary to include hyponatremia as an evaluation index in clinical studies. As the occurrence of hyponatremia is sometimes unavoidable owing to SCLC specific neurological characteristics, early monitoring to detect the presence of hyponatremia and timely correction are helpful to improve the prognosis of patients. There are many predisposing factors for hyponatremia, including heterotopia of antidiuretic hormone (ADH), use of platinum-based chemotherapy drugs, and intracranial metastasis, among others. Patients with small cell lung cancer are usually asymptomatic in the early stage, while it is of great significance to find a suitable clinical index to judge whether it is a malignant inducement or not. In the clinical setting, due to different electrolyte levels and therapeutic scheduling for the primary disease, an individualized plan is often made, mainly comprising water restriction, infusion, and medications. This review includes related clinical studies and describes the common symptoms and predisposing factors of hyponatremia in patients with SCLC, and their impact on quality of life and prognosis.
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Affiliation(s)
- Ranpu Wu
- Department of Respiratory and Critical Care Medicine, Jinling Hospital, Southeast University of Medicine, Nanjing, China
| | - Chuling Li
- Department of Respiratory and Critical Care Medicine, Affiliated Jinling Hospital, Medical School of Nanjing Medical University, Nanjing, China
| | - Zimu Wang
- Department of Respiratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China
| | - Hang Fan
- Department of Respiratory and Critical Care Medicine, Affiliated Jinling Hospital, Medical School of Nanjing Medical University, Nanjing, China
| | - Yong Song
- Department of Respiratory and Critical Care Medicine, Jinling Hospital, Southeast University of Medicine, Nanjing, China.,Department of Respiratory and Critical Care Medicine, Affiliated Jinling Hospital, Medical School of Nanjing Medical University, Nanjing, China
| | - Hongbing Liu
- Department of Respiratory and Critical Care Medicine, Jinling Hospital, Southeast University of Medicine, Nanjing, China.,Department of Respiratory and Critical Care Medicine, Affiliated Jinling Hospital, Medical School of Nanjing Medical University, Nanjing, China
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11
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Liu F, Zhou S, Tan L, Jiang H, Huang Y. A Retrospective Cohort Study on Pretreated Neutrophil-to-Lymphocyte Ratio and Prognosis of Small Cell Lung Cancer: Evidence of Effect Modification by Chemotherapy Regimen. Cancer Manag Res 2020; 12:10341-10352. [PMID: 33116889 PMCID: PMC7586078 DOI: 10.2147/cmar.s263863] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Accepted: 08/31/2020] [Indexed: 12/18/2022] Open
Abstract
Purpose Neutrophil-to-lymphocyte ratio (NLR) has been suggested as an independent risk factor for progression-free survival (PFS) and overall survival (OS) in small cell lung cancer (SCLC). However, it is still unknown whether there is a linear relationship between the NLR and the risk of death in SCLC. The objective of this study is to provide further results. Patients and Methods A retrospective cohort study was performed among a total of 251 participants with SCLC. Smooth curve fitting and piecewise Cox regression model were used to determine the linear relationship between NLR and mortality risk. A multivariable Cox regression model was used to estimate the effects of NLR on OS. Interaction and stratified analyses were conducted according to covariates. Results The analysis indicated no significant nonlinear relationship or threshold effect between NLR and hazard of death. Multivariate analysis revealed that every unit increase in NLR was associated with a 10% increase in mortality risk. High NLR (>3.5) at baseline was associated with poor OS (hazard ratio [HR]=1.97, P=0.009). The difference in median OS duration between the high and low NLR groups was statistically significant (9.1 months vs 14.6 months, P=0.0067). Furthermore, interaction analysis identified the chemotherapy regimen to play an interactive role in the association between NLR and hazard of death. Conclusion NLR was identified as an independent risk factor for OS in SCLC and the linear correlation was observed between them. Administration of etoposide plus cisplatin (EP) regimen in patients with low NLR resulted in better long-term outcome than that of etoposide plus carboplatin (EC) regimen, while administration of the EC regimen conferred longer OS than that of the EP regimen in patients with high NLR.
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Affiliation(s)
- Feiwen Liu
- Oncology Medical College, Guangxi Medical University, Nanning City 530021, Guangxi Zhuang Autonomous Region, People's Republic of China
| | - Shaozhang Zhou
- Oncology Medical College, Guangxi Medical University, Nanning City 530021, Guangxi Zhuang Autonomous Region, People's Republic of China.,Department of Respiratory Oncology, Guangxi Medical University Affiliated Tumor Hospital, Nanning City 530021, Guangxi Zhuang Autonomous Region, People's Republic of China
| | - Liping Tan
- Department of Respiratory Oncology, Guangxi Medical University Affiliated Tumor Hospital, Nanning City 530021, Guangxi Zhuang Autonomous Region, People's Republic of China
| | - Huiqin Jiang
- Oncology Medical College, Guangxi Medical University, Nanning City 530021, Guangxi Zhuang Autonomous Region, People's Republic of China
| | - Yucong Huang
- Oncology Medical College, Guangxi Medical University, Nanning City 530021, Guangxi Zhuang Autonomous Region, People's Republic of China
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12
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Huang L, Shi Y. Prognostic value of pretreatment smoking status for small cell lung cancer: A meta-analysis. Thorac Cancer 2020; 11:3252-3259. [PMID: 32959954 PMCID: PMC7605986 DOI: 10.1111/1759-7714.13661] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Revised: 08/31/2020] [Accepted: 09/01/2020] [Indexed: 12/24/2022] Open
Abstract
Background Although tobacco exposure remains the most important risk factor of tumorigenesis of small cell lung cancer (SCLC), its prognostic value has failed to reach a consensus until now. Accordingly, we conducted a meta‐analysis to investigate the prognostic value of pretreatment smoking status (smokers vs. never‐smokers) in SCLC. Methods The four databases PubMed, Medline, Embase, and Cochrane library were searched to identify the relevant literature from the inception dates to 24 June 2020. The primary outcome was overall survival (OS), and the secondary endpoint was progression‐free survival (PFS). The hazard ratios (HRs) with 95% confidence intervals (CIs) were extracted to assess the relationship between pretreatment smoking status and patient survival. Sensitivity analysis was performed to assess the stability of the pooled results. Begg's funnel plot and Egger's test were applied to detect the publication bias. All statistical analyses were performed using RevMan V.5.3 and STATA version 15.0 software. Results A total of 27 studies involving 12 047 patients with SCLC (9137 smokers and 2910 never‐smokers) were included in this meta‐analysis. The results showed that smoking history was closely related to poorer survival outcome (OS: HR = 1.17, 95% CI: 1.12–1.23, P < 0.00001; I2 = 0%; PFS: HR = 1.20, 95% CI: 1.06–1.35, P = 0.004; I2 = 0%). Conclusions Smoking history should be considered as an independent poor prognostic factor for patients with SCLC. More large‐scale prospective studies are warranted to testify the prognostic value of pretreatment smoking status.
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Affiliation(s)
- Liling Huang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, Beijing, China
| | - Yuankai Shi
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, Beijing, China
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13
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Gao H, Dang Y, Qi T, Huang S, Zhang X. Mining prognostic factors of extensive-stage small-cell lung cancer patients using nomogram model. Medicine (Baltimore) 2020; 99:e21798. [PMID: 32872080 PMCID: PMC7437828 DOI: 10.1097/md.0000000000021798] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
This study is to establish the nomogram model and provide clinical therapy decision-making for extensive-stage small-cell lung cancer (ES-SCLC) patients with different metastatic sites using the Surveillance, Epidemiology, and End Results (SEER) Program.A total of 10,025 patients of ES-SCLC with metastasis from January 2010 to December 2016 were enrolled from the SEER database. All samples were randomly divided into a derivation cohort and a validation cohort, and the derivation cohort was divided into 6 groups by different metastatic sites: bone, liver, lung, brain, multiple organs, and other organs. Using Cox proportional hazards models to analyze candidate prognostic factors, screening out the independent prognostic factors to establish the nomogram. Compare the different models by Net reclassification improvement and integrated discrimination improvement. Concordance index (C-index) and the calibration curve were used to verify the prediction efficiency of the nomogram in the derivation cohort and validation cohort.In the derivation cohort, the median overall survival was 7 months. The overall survival rates at 6-month, 1-year, and 2-year were 55.07%, 24.61%, and 7.56%, respectively. The median survival time was 10, 8, 7, 9, 7, and 6 months for the 6 groups of different metastatic sites: other, bone, liver, lung, brain, and multiple organs, respectively. Age, sex, race, T, N, distant metastatic site, and chemotherapy were contained in the final nomogram prognostic model. The C-index was 0.6569777 in the derivation cohort and 0.8386301 in the validation cohort.The survival time of ES-SCLC patients with different metastatic sites was significantly different. The nomogram can effectively predict the prognosis of individuals and provide a basis for clinical decision-making.
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Affiliation(s)
- Hongxiang Gao
- Radiotherapy Department, The First Affiliated Hospital of Xi’an Jiaotong University
- Department of Oncology, Chang An Hospital
| | - Yazheng Dang
- Radiotherapy Department, 986 Hospital affiliated to The Fourth Military Medical University, Xi’an, Shaan Xi
| | - Tao Qi
- Radiotherapy Department, 986 Hospital affiliated to The Fourth Military Medical University, Xi’an, Shaan Xi
| | - Shigao Huang
- Faculty of Health Sciences, University of Macau, Taipa, Macao SAR, China
| | - Xiaozhi Zhang
- Radiotherapy Department, The First Affiliated Hospital of Xi’an Jiaotong University
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14
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Yuan Y, Zhong H, Ye L, Li Q, Fang S, Gu W, Qian Y. Prognostic value of pretreatment platelet counts in lung cancer: a systematic review and meta-analysis. BMC Pulm Med 2020; 20:96. [PMID: 32312252 PMCID: PMC7171794 DOI: 10.1186/s12890-020-1139-5] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Accepted: 04/07/2020] [Indexed: 01/09/2023] Open
Abstract
Background The prognostic value of elevated pretreatment platelet counts remains controversial in lung cancer patients. We performed the present meta-analysis to determine its precise role in these patients. Methods We employed a multiple search strategy in the PubMed, EMBASE and Cochrane Library databases to identify eligible studies. Disease-free survival (DFS)/progression-free survival (PFS)/time to progression (TTP) and overall survival (OS) were used as outcomes with hazard ratios (HRs) and 95% confidence intervals (CIs). Heterogeneity among the studies and publication bias were also evaluated. Results A total of 40 studies including 16,696 lung cancer patients were eligible for the analysis. Overall, the pooled analysis showed that compared with normal platelet counts, elevated pretreatment platelet counts were associated with poorer OS (HR = 1.54, 95% CI: 1.37–1.72, P < 0.001) and poorer DFS/PFS/TTP (HR = 1.62, 95% CI: 1.33–1.98, P < 0.001) in patients with lung cancer. In subgroup analyses, elevated pretreatment platelet counts were also associated with poorer OS and DFS/PFS/TTP in most subgroups. There was no evidence of publication bias. Conclusions This meta-analysis revealed that elevated pretreatment platelet counts were an independent predictor of OS and DFS/PFS/TTP in lung cancer patients. Large-scale prospective studies and a validation study are warranted.
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Affiliation(s)
- Yuan Yuan
- Department of Respiratory and Critical Care Medicine, Nanjing First Hospital, Nanjing Medical University, 68 Changle road, Nanjing, 210006, Jiangsu, China
| | - Hai Zhong
- Department of Pulmonary and Critical Care Medicine, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, 210006, Jiangsu, China
| | - Liang Ye
- Department of Respiratory and Critical Care Medicine, Nanjing First Hospital, Nanjing Medical University, 68 Changle road, Nanjing, 210006, Jiangsu, China
| | - Qian Li
- Department of Respiratory and Critical Care Medicine, Nanjing First Hospital, Nanjing Medical University, 68 Changle road, Nanjing, 210006, Jiangsu, China
| | - Surong Fang
- Department of Respiratory and Critical Care Medicine, Nanjing First Hospital, Nanjing Medical University, 68 Changle road, Nanjing, 210006, Jiangsu, China
| | - Wei Gu
- Department of Respiratory and Critical Care Medicine, Nanjing First Hospital, Nanjing Medical University, 68 Changle road, Nanjing, 210006, Jiangsu, China
| | - Yingying Qian
- Department of Respiratory and Critical Care Medicine, Nanjing First Hospital, Nanjing Medical University, 68 Changle road, Nanjing, 210006, Jiangsu, China.
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15
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Sakin A, Yasar N, Arici S, Demir C, Geredeli C, Aksaray F, Isik S, Cihan S. Effect of Pretreatment Platelet Parameters on Survival in Limited Disease Small Cell Lung Cancer. Asian Pac J Cancer Prev 2019; 20:1879-1885. [PMID: 31244313 PMCID: PMC7021604 DOI: 10.31557/apjcp.2019.20.6.1879] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2019] [Indexed: 12/25/2022] Open
Abstract
Background: The aim of this study was to investigate the effect of platelet parameters before concurrent
chemoradiotherapy (CCRT) on survival of patients with limited disease small cell lung cancer (LD-SCLC). Methods:
This study consisted of patients who received CCRT due to LD-SCLC in the oncology clinic between 1997-2017.
Examined platelet parameters included total platelet count (TPC), mean platelet volume, platelet distribution width,
and platelet-lymphocyte ratio. The cut-off value for TPC was determined as 306x109/U (sensitivity: 62%, specificity:
75.5%), where patients below or equal to this level was classified as Group I, and those above as Group II. Results:The
study included 90 patients whose mean age was 59 years (range: 42-83) and male ratio was 80.0% (n=72). Near
three-fourths of patients (74.4%) were at clinical stage III. Among stage I-II patients, mOS was found as 126 months
for Group I whereas it had not been reached in Group II (p=0.158). Stage III patients showed significantly lower mOS
for Group 1 (16 [range: 14.1-17.8] months) compared to that in Group 2 (19.0 [range: 15.6-62.8] months; p=0.002).
In multivariate analysis, Eastern Cooperative Oncology Group performance score (p=0.003), clinical stage (p<0.001),
prophylactic cranial irradiation (p=0.004), and TPC (p=0.031) was determined as the most significant factors affecting
survival. Conclusion: Our study suggests association of high baseline levels of TPC to improved survival in patients
scheduled to undergo CCRT for LD-SCLC. Considering easiness and universal availability of TPC measurement,
potential utilization of this biomarker may be promising to predict survival, albeit requiring validation by further
well-designated prospective studies.
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Affiliation(s)
- Abdullah Sakin
- Department of Medical Oncology, Yuzuncu Yil University Medical School, Van, Turkey.
| | - Nurgul Yasar
- Department of Medical Oncology, University of Health Sciences, Okmeydani Training and Research Hospital, Istanbul, Turkey
| | - Serdar Arici
- Department of Medical Oncology, University of Health Sciences, Okmeydani Training and Research Hospital, Istanbul, Turkey
| | - Cumhur Demir
- Department of Medical Oncology, University of Health Sciences, Okmeydani Training and Research Hospital, Istanbul, Turkey
| | - Caglayan Geredeli
- Department of Medical Oncology, University of Health Sciences, Okmeydani Training and Research Hospital, Istanbul, Turkey
| | - Ferdi Aksaray
- Department of Radiation Oncology, University of Health Sciences, Okmeydani Training and Research Hospital, Istanbul, Turkey
| | - Selver Isik
- Department of Medical Oncology, University of Healt Sciences, Erzurum Bölge Training and Research Hospital, Erzurum, Turkey
| | - Sener Cihan
- Department of Medical Oncology, University of Health Sciences, Okmeydani Training and Research Hospital, Istanbul, Turkey
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Koukourakis MI, Giatromanolaki A. Warburg effect, lactate dehydrogenase, and radio/chemo-therapy efficacy. Int J Radiat Biol 2018; 95:408-426. [PMID: 29913092 DOI: 10.1080/09553002.2018.1490041] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
The anaerobic metabolism of glucose by cancer cells, even under well-oxygenated conditions, has been documented by Otto Warburg as early as 1927. Micro-environmental hypoxia and intracellular pathways activating the hypoxia-related gene response, shift cancer cell metabolism to anaerobic pathways. In the current review, we focus on a major enzyme involved in anaerobic transformation of pyruvate to lactate, namely lactate dehydrogenase 5 (LDH5). The value of LDH5 as a marker of prognosis of cancer patients, as a predictor of response to radiotherapy (RT) and chemotherapy and, finally, as a major target for cancer treatment and radio-sensitization is reported and discussed. Clinical, translational and experimental data supporting the uniqueness of the LDHA gene and its product LDH5 isoenzyme are summarized and future directions for a metabolic treatment of cancer are highlighted.
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Affiliation(s)
- Michael I Koukourakis
- a Department of Radiotherapy and Oncology, Medical School, Democritus University of Thrace , Alexandroupolis , Greece
| | - Alexandra Giatromanolaki
- b Department of Pathology , Medical School, Democritus University of Thrace , Alexandroupolis , Greece
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Nie K, Zhang YX, Nie W, Zhu L, Chen YN, Xiao YX, Liu SY, Yu H. Prognostic value of metabolic tumour volume and total lesion glycolysis measured by 18F-fluorodeoxyglucose positron emission tomography/computed tomography in small cell lung cancer: A systematic review and meta-analysis. J Med Imaging Radiat Oncol 2018; 63:84-93. [PMID: 30230710 DOI: 10.1111/1754-9485.12805] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2018] [Accepted: 08/17/2018] [Indexed: 01/26/2023]
Abstract
The aim of this study was to evaluate the prognostic value of metabolic tumour volume (MTV) and total lesion glycolysis (TLG) for small cell lung cancer (SCLC). MEDLINE, EMBASE and Cochrane Library databases were systematically searched. The pooled hazard ratio (HR) was used to measure the influence of MTV and TLG on survival. The subgroup analysis according to VALSG stage and the measured extent of MTV was performed. Patients with high MTV values experienced a significantly poorer prognosis with a HR of 2.42 (95% CI 1.46-4.03) for overall survival (OS) and a HR of 2.78 (95% CI 1.39-5.53) for progression-free survival (PFS) from the random effect model, and the pooled HR from the fixed effect model was 2.10 (95% CI 1.77-2.50) for OS and 2.27 (95% CI 1.83-2.81) for PFS. Patients with high TLG experienced a poorer prognosis with a HR of 1.61 (95% CI: 1.24-2.07) for OS from the random effect model, and the pooled HR from the fixed effect model was 1.64 (95% CI 1.37-1.96). Heterogeneity among studies was high for MTV in both OS and PFS meta-analyses (I2 = 87% and 88% respectively). After removing one outlier study the heterogeneity was substantially reduced (I2 = 0%) and the pooled HR for the effect of MTV on OS was 1.80 (1.51-2.16, P < 0.00001), and on PFS it was 1.86 (1.49-2.33, P < 0.00001), using either the fixed or random effects model. High MTV is associated with a significantly poorer prognosis OS and PFS, and high TLG is associated with a significantly poorer prognosis regarding OS for SCLC.
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Affiliation(s)
- Kai Nie
- Department of Imaging and Nuclear Medicine, Changzheng Hospital, Second Military Medical University, Shanghai, China
| | - Yu-Xuan Zhang
- School of Pharmacy, Queen's University Belfast, Medical Biology Centre, Belfast, UK
| | - Wei Nie
- Department of Respiration, Shanghai Chest Hospital affiliated to Shanghai Jiaotong University, Shanghai, China
| | - Lin Zhu
- Department of Imaging and Nuclear Medicine, Changzheng Hospital, Second Military Medical University, Shanghai, China
| | - Yi-Nan Chen
- Department of Radiology, Shanghai Chest Hospital affiliated to Shanghai Jiaotong University, Shanghai, China
| | - Yong-Xin Xiao
- Department of Imaging and Nuclear Medicine, Changzheng Hospital, Second Military Medical University, Shanghai, China
| | - Shi-Yuan Liu
- Department of Imaging and Nuclear Medicine, Changzheng Hospital, Second Military Medical University, Shanghai, China
| | - Hong Yu
- Department of Imaging and Nuclear Medicine, Changzheng Hospital, Second Military Medical University, Shanghai, China.,Department of Radiology, Oriental Hospital Affiliated Tongji University, Shanghai, China
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Neuron-specific enolase and response to initial therapy are important prognostic factors in patients with small cell lung cancer. Clin Transl Oncol 2017; 19:865-873. [PMID: 28127669 DOI: 10.1007/s12094-017-1617-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2016] [Accepted: 01/13/2017] [Indexed: 01/30/2023]
Abstract
PURPOSE The prognostic factors for the survival of small cell lung cancer (SCLC) patients are still widely debated. The aim of this study was to identify the clinical features and prognostic factors in SCLC patients. METHODS A retrospective study was conducted on SCLC patients who were treated in our hospital between July 2010 and July 2015. Comparison of overall survival (OS) was performed using the Kaplan-Meier method. Prognostic factors for OS were identified by multivariate Cox regression models. RESULTS A total of 523 patients with complete data and ECOG 0-2 were enrolled in our study. A total of 383 patients (73.2%) were diagnosed with ES-SCLC (extensive-stage SCLC) and 140 patients (26.8%) were diagnosed with LS-SCLC (limited-stage SCLC). In all patients, early disease stage, good ECOG, normal neuron-specific enolase (NSE), thoracic radiotherapy, ≥4 cycles of chemotherapy, prophylactic cranial irradiation, good response to initial therapy were independent favorable prognostic factors for OS, along with gender, age, CEA and CA125. In LS-SCLC patients, normal NSE, normal CEA, good response to initial therapy and surgery were independent favorable prognostic factors for OS. In ES-SCLC patients, good ECOG, normal NSE, thoracic radiotherapy, ≥4 cycles of chemotherapy, prophylactic cranial irradiation and good response to initial therapy were independent favorable prognostic factors for OS. Remarkably, NSE and response to initial therapy were independent prognostic factors for OS in all SCLC patients, LS-SCLC patients and ES-SCLC patients. CONCLUSION The normal NSE and good response to initial therapy predicted a better survival for SCLC patients, regardless of disease stage.
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