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Gradel KO. Interpretations of the Role of Plasma Albumin in Prognostic Indices: A Literature Review. J Clin Med 2023; 12:6132. [PMID: 37834777 PMCID: PMC10573484 DOI: 10.3390/jcm12196132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 09/18/2023] [Accepted: 09/21/2023] [Indexed: 10/15/2023] Open
Abstract
This review assesses how publications interpret factors that influence the serum or plasma albumin (PA) level in prognostic indices, focusing on inflammation and nutrition. On PubMed, a search for "albumin AND prognosis" yielded 23,919 results. From these records, prognostic indices were retrieved, and their names were used as search strings on PubMed. Indices found in 10 or more original research articles were included. The same search strings, restricted to "Review" or "Systematic review", retrieved yielded on the indices. The data comprised the 10 latest original research articles and up to 10 of the latest reviews. Thirty indices had 294 original research articles (6 covering two indices) and 131 reviews, most of which were from recent years. A total of 106 articles related the PA level to inflammation, and 136 related the PA level to nutrition. For the reviews, the equivalent numbers were 54 and 65. In conclusion, more publications mention the PA level as a marker of nutrition rather than inflammation. This is in contrast to several general reviews on albumin and nutritional guidelines, which state that the PA level is a marker of inflammation but not nutrition. Hypoalbuminemia should prompt clinicians to focus on the inflammatory aspects in their patients.
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Affiliation(s)
- Kim Oren Gradel
- Center for Clinical Epidemiology, Odense University Hospital, 5000 Odense, Denmark; ; Tel.: +45-21-15-80-85
- Research Unit of Clinical Epidemiology, Department of Clinical Research, University of Southern Denmark, 5000 Odense, Denmark
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Shi Y, Ju M, Di X, Sun X, Chen X, He C, Liang L. Prognostic value of modified-Gustave-Roussy Immunity Score in resectable proximal gastric cancer. Medicine (Baltimore) 2023; 102:e33334. [PMID: 36961166 PMCID: PMC10036012 DOI: 10.1097/md.0000000000033334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 03/01/2023] [Indexed: 03/25/2023] Open
Abstract
The prognostic evaluation of GRIm score has been confirmed in many tumor species. The purpose of this study is to clarify the value of GRIm score in the prognostic evaluation of patients with resectable proximal gastric cancer. A single center retrospective study was conducted in 174 patients with proximal gastric cancer who underwent radical total gastrectomy. An in-depth analysis was carried out to explore the prognostic differences between high and low GRIm, and the influencing factors of disease-free survival rates and overall survival rates were analyzed by Cox regression model and Kaplan-Meier method. A total of 174 patients were divided into two groups: 135 patients were marked in L-mGRIm and 39 patients in H-mGRIm groups respectively. The median OS of the H-mGRIm and L-mGRIm groups were 23.2 and 38.6 months, respectively. The median DFS of the H-mGRIm and L-mGRIm groups was 16.9 and 31.7 months, respectively. Both DFS and OS were significantly different between groups (P = .000, P = .000). In multivariate analysis, ZPS (2 vs 0-1: HR 1.99 95% CI 1.05-3.76 P = .035), LDH (≥193 vs <193:HR 0.6; 95% CI 0.38-0.95 P = .028), mGRIm score (2-3 vs 0-1: HR 2.4; 95% CI 1.09-5.23 P = .029) was independent risk factors of OS. The age (>65 vs ≤65 years HR 0.63; 95% CI 0.4-0.95 P = .003), LDH (>193 U/L vs ≤193 U/L: HR 0.55; 95% CI 0.37-0.82 P = .004) and mGRIm score (2-3 vs 0-1: HR 4.74; 95% CI 2.24-9.9 P = .000) as an independent risk factor for DFS. mGRIm score is a novel, simple and effective index for prognosis evaluation of resectable cardiac cancer and can be used as a part of the risk stratification process.
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Affiliation(s)
- Yujing Shi
- Department of Oncology, Jurong People’s Hospital, Zhenjiang, China
- Department of Oncology, Jurong Hospital Affiliated to Jiangsu University, Zhenjiang, China
| | - Mengyang Ju
- Department of Radiation Oncology, Osaka University, Suita, Japan
| | - Xiaoke Di
- Department of Radiotherapy, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xinchen Sun
- Department of Radiotherapy, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xiaojiao Chen
- Department of Oncology, Jurong People’s Hospital, Zhenjiang, China
- Department of Oncology, Jurong Hospital Affiliated to Jiangsu University, Zhenjiang, China
| | - Chenhong He
- Department of Oncology, Jurong People’s Hospital, Zhenjiang, China
- Department of Oncology, Jurong Hospital Affiliated to Jiangsu University, Zhenjiang, China
| | - Liang Liang
- Department of Oncology, Jurong People’s Hospital, Zhenjiang, China
- Department of Oncology, Jurong Hospital Affiliated to Jiangsu University, Zhenjiang, China
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Sun B, Hou Q, Liang Y, Xue S, Yao N, Wei L, Cao X, Li H, Si H, Cao J. Prognostic ability of lung immune prognostic index in limited-stage small cell lung cancer. BMC Cancer 2022; 22:1233. [PMID: 36447193 PMCID: PMC9706962 DOI: 10.1186/s12885-022-10351-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 11/22/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND Lung immune prognostic index (LIPI) is a prognostic marker of extensive-stage small cell lung cancer (ES-SCLC) patients received immunotherapy or chemotherapy. However, its ability in limited-stage SCLC (LS-SCLC) should be evaluated extensively. METHODS We retrospectively enrolled 497 patients diagnosed as LS-SCLC between 2015 and 2018, and clinical data included pretreatment lactate dehydrogenase (LDH), white blood cell count, and absolute neutrophil count levels were collected. According to the LIPI scores, the patients were stratified into low-risk (0 points) and high-risk (1-2 points). The correlations between LIPI and overall survival (OS) or progression-free survival (PFS) were analyzed by the Cox regression. Additionally, the propensity score matching (PSM) and inverse probability of treatment weight (IPTW) methods were used to reduce the selection and confounding bias. A nomogram was constructed using on multivariable Cox model. RESULTS Two hundred fifty and 247 patients were in the LIPI high-risk group and low-risk group, and their median OS was 14.67 months (95% CI: 12.30-16.85) and 20.53 months (95% CI: 17.67-23.39), respectively. In the statistical analysis, High-risk LIPI was significantly against worse OS (HR = 1.377, 95%CI:1.114-1.702) and poor PFS (HR = 1.338, 95%CI:1.1-1.626), and the result was similar after matching and compensating with the PSM or IPTW method. A novel nomogram based on LIPI has a decent level of predictive power. CONCLUSION LIPI stratification was a significant factor against OS or PFS of LS-SCLC patients.
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Affiliation(s)
- Bochen Sun
- grid.263452.40000 0004 1798 4018Department of Radiation Oncology, The Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, No.3, Zhigongxin Street, Taiyuan, 030010 Shanxi China
| | - Qing Hou
- grid.263452.40000 0004 1798 4018Department of Radiation Oncology, The Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, No.3, Zhigongxin Street, Taiyuan, 030010 Shanxi China
| | - Yu Liang
- grid.263452.40000 0004 1798 4018Department of Radiation Oncology, The Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, No.3, Zhigongxin Street, Taiyuan, 030010 Shanxi China
| | - Shuqin Xue
- grid.412679.f0000 0004 1771 3402Department of Nuclear Medicine, the First Affiliated Hospital of Anhui Medical University, Hefei, 230022 Anhui Province China
| | - Ningning Yao
- grid.263452.40000 0004 1798 4018Department of Radiation Oncology, The Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, No.3, Zhigongxin Street, Taiyuan, 030010 Shanxi China
| | - Lijuan Wei
- grid.263452.40000 0004 1798 4018Department of Radiation Oncology, The Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, No.3, Zhigongxin Street, Taiyuan, 030010 Shanxi China
| | - Xin Cao
- grid.263452.40000 0004 1798 4018Department of Radiation Oncology, The Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, No.3, Zhigongxin Street, Taiyuan, 030010 Shanxi China
| | - Hongwei Li
- grid.263452.40000 0004 1798 4018Department of Radiation Oncology, The Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, No.3, Zhigongxin Street, Taiyuan, 030010 Shanxi China
| | - Hongwei Si
- grid.412679.f0000 0004 1771 3402Department of Nuclear Medicine, the First Affiliated Hospital of Anhui Medical University, Hefei, 230022 Anhui Province China
| | - Jianzhong Cao
- grid.263452.40000 0004 1798 4018Department of Radiation Oncology, The Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, No.3, Zhigongxin Street, Taiyuan, 030010 Shanxi China
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Zhou W, Wang P, Ti X, Yin Y, Huang S, Yang Z, Li J, Chai G, Lyu B, Li Z, Zhou Y, Xiao F, Xu L, Shi M, Zhao L. Sequential Hypofractionated versus Concurrent Twice-Daily Radiotherapy for Limited-Stage Small-Cell Lung Cancer: A Propensity Score-Matched Analysis. Cancers (Basel) 2022; 14:cancers14163920. [PMID: 36010913 PMCID: PMC9406024 DOI: 10.3390/cancers14163920] [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: 07/03/2022] [Revised: 08/09/2022] [Accepted: 08/10/2022] [Indexed: 11/16/2022] Open
Abstract
Background: As there are no randomized trials comparing twice-daily with sequential hypofractionated (sequential hypo) radiotherapy regimens for limited-stage small-cell lung cancer (LS-SCLC). This study aimed to compare these two regimens for LS-SCLC by propensity score-matched analysis (PSM). Methods: We retrospectively analyzed 108 LS-SCLC patients between January 2015 and July 2019. All patients received concurrent twice-daily or sequential hypo radiotherapy. The survival, failure patterns, and toxicities were evaluated before and after PSM. Results: Before PSM, multivariate analysis showed that patients treated with sequential hypo had a significantly better overall survival (OS) and distant metastasis-free survival (DMFS) (HR = 0.353, p = 0.009; HR = 0.483, p = 0.039, respectively). Total radiotherapy time ≥ 24 days and stage III (HR = 2.454, p = 0.004; HR = 2.310, p = 0.004, respectively) were poor prognostic indicators for OS. Patients with a total radiotherapy time ≥ 24 days and N2−3 were more likely to recur than others (HR = 1.774, p = 0.048; HR = 2.369, p = 0.047, respectively). N2−3 (HR = 3.032, p = 0.011) was a poor prognostic indicator for DMFS. After PSM, being aged ≥65 years was associated with poorer OS, relapse-free survival (RFS) and DMFS (p < 0.05). A total radiotherapy time of ≥24 days was a poor prognostic indicator for OS and RFS (HR = 2.671, p = 0.046; HR = 2.370, p = 0.054, respectively). Although there was no significant difference, the patients in the sequential hypo group had a trend towards a better OS. The failure pattern between the two groups showed no difference. More patients had grade 1−2 esophagitis in the twice-daily group (p = 0.001). Conclusions: After propensity matching, no difference was shown in survival and failure. The sequential hypo schedule was associated with comparable survival and less toxicity and may be used as an alternative to concurrent twice-daily regimens.
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Affiliation(s)
- Wei Zhou
- Department of Radiation Oncology, Xijing Hospital, Air Force Medical University, Xi’an 710032, China
| | - Pang Wang
- Out-Patient Department, Xijing Hospital, Air Force Medical University, Xi’an 710032, China
| | - Xinyu Ti
- Department of Pulmonary Diseases and Critical Care Medicine, Xijing Hospital, Air Force Medical University, Xi’an 710032, China
| | - Yutian Yin
- Department of Radiation Oncology, Xijing Hospital, Air Force Medical University, Xi’an 710032, China
| | - Shigao Huang
- Department of Radiation Oncology, Xijing Hospital, Air Force Medical University, Xi’an 710032, China
| | - Zhi Yang
- Department of Radiation Oncology, Xijing Hospital, Air Force Medical University, Xi’an 710032, China
| | - Jie Li
- Department of Radiation Oncology, Xijing Hospital, Air Force Medical University, Xi’an 710032, China
| | - Guangjin Chai
- Department of Radiation Oncology, Xijing Hospital, Air Force Medical University, Xi’an 710032, China
| | - Bo Lyu
- Department of Radiation Oncology, Xijing Hospital, Air Force Medical University, Xi’an 710032, China
| | - Zhaohui Li
- Department of Radiation Oncology, Xijing Hospital, Air Force Medical University, Xi’an 710032, China
| | - Yan Zhou
- Department of Radiation Oncology, Xijing Hospital, Air Force Medical University, Xi’an 710032, China
| | - Feng Xiao
- Department of Radiation Oncology, Xijing Hospital, Air Force Medical University, Xi’an 710032, China
| | - Lin Xu
- Department of Radiation Oncology, Xijing Hospital, Air Force Medical University, Xi’an 710032, China
| | - Mei Shi
- Department of Radiation Oncology, Xijing Hospital, Air Force Medical University, Xi’an 710032, China
- Correspondence: (M.S.); (L.Z.)
| | - Lina Zhao
- Department of Radiation Oncology, Xijing Hospital, Air Force Medical University, Xi’an 710032, China
- Correspondence: (M.S.); (L.Z.)
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Li L, Pi C, Yan X, Lu J, Yang X, Wang C, Li X, Zhang S, Zhang Z, Sun Y, Hu Y. Prognostic Value of the Pretreatment Lung Immune Prognostic Index in Advanced Small Cell Lung Cancer Patients Treated With First-Line PD-1/PD-L1 Inhibitors Plus Chemotherapy. Front Oncol 2021; 11:697865. [PMID: 34692478 PMCID: PMC8531596 DOI: 10.3389/fonc.2021.697865] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 09/20/2021] [Indexed: 01/11/2023] Open
Abstract
Background Lung immune prognostic index (LIPI) refers to a biomarker combining derived neutrophil-to-lymphocyte ratio (dNLR) and lactate dehydrogenase (LDH). Its prognostic effect on advanced small cell lung cancer (SCLC) patients receiving programmed cell death 1/programmed cell death ligand-1 (PD-1/PD-L1) inhibitors plus chemotherapy as first-line treatment remains unclear. Our research investigated the relationship between pretreatment LIPI and the prognosis of patients receiving first-line PD-1/PD-L1 inhibitors plus chemotherapy. Methods Advanced SCLC patients receiving PD-1/PD-L1 inhibitors plus chemotherapy as first-line treatment from Jan 2015 to Oct 2020 were included. Based on the values of dNLR and LDH, the study population was divided into two groups: LIPI good and LIPI intermediate/poor. The Kaplan-Meier method was used to compute the median survival time and the log-rank test was used to compare the two groups. Univariate and multivariate analyses were used to examine the correlation between the pretreatment LIPI and clinical outcomes. Results One hundred patients were included in this study, of which, 64% were LIPI good (dNLR < 4.0 and LDH < 283 U/L), 11% were LIPI poor (dNLR ≥ 4.0 and LDH ≥ 283 U/L), and the remaining 25% were LIPI intermediate. The LIPI good group had better progression-free survival (PFS) (median: 8.4 vs 4.7 months, p = 0.02) and overall survival (OS) (median: 23.8 vs 13.3 months, p = 0.0006) than the LIPI intermediate/poor group. Multivariate analysis showed that pretreatment LIPI intermediate/poor was an independent risk factor for OS (HR: 2.34; 95%CI, 1.13, 4.86; p = 0.02). Subgroup analysis showed that pretreatment LIPI good was associated with better PFS and OS in males, extensive disease (ED), PD-1 inhibitor treatment, smokers, and liver metastasis (p < 0.05). Conclusions Pretreatment LIPI could serve as a prognostic biomarker for advanced SCLC patients receiving first-line PD-1/PD-L1 inhibitors plus chemotherapy.
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Affiliation(s)
- Lingling Li
- School of Medicine, Nankai University, Tianjin, China.,Department of Oncology, The First Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Chenghui Pi
- School of Medicine, Nankai University, Tianjin, China
| | - Xin Yan
- School of Medicine, Nankai University, Tianjin, China
| | - Jiangyue Lu
- Department of Further Education, Harbin Medical University Cancer Hospital, Harbin, China
| | - Xuhui Yang
- Department of Oncology, The First Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Chunyu Wang
- Department of Oncology, The First Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Xiaoyan Li
- Department of Oncology, The First Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Sujie Zhang
- Department of Oncology, The First Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Zhibo Zhang
- Department of Cardiothoracic Surgery, The 78th Group Army Hospital of Chinese PLA, Mudanjiang, China
| | - Yi Sun
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, China
| | - Yi Hu
- School of Medicine, Nankai University, Tianjin, China.,Department of Oncology, The First Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
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