1
|
Zhao Z, Yan M, Pang H, Chen L, Tang X, Chen Z, Chen X, Sun H. Significance of Nutritional-Inflammatory Index as Predictors for Total Neoadjuvant Therapy-Induced Tumor Regression in Locally Advanced Rectal Cancer Patients. J Inflamm Res 2024; 17:3865-3878. [PMID: 38895140 PMCID: PMC11185252 DOI: 10.2147/jir.s462985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Accepted: 06/08/2024] [Indexed: 06/21/2024] Open
Abstract
Purpose To evaluate the predictive capacity of the nutritional-inflammatory index and clinicopathological characteristics in patients with locally advanced rectal cancer (LARC) receiving total neoadjuvant therapy (TNT). Methods Data from 127 patients with LARC receiving TNT from January 2017 to January 2021 were retrospectively analyzed. Clinicopathological characteristics with different TNT-induced responses were compared. The Chi-square test and the Mann-Whitney test were used to analyze the association between pre-TNT factors and TNT-induced responses. Multivariable logistic regression analysis was used to construct a predictive model. Results In the cohort of 127 patients with LARC who underwent total neoadjuvant therapy (TNT), the mean age was 54.1 ± 11.4 years; 88 (69.3%) were male. Seventy patients (55.1%) exhibited a favorable response to TNT, while 57 patients (44.9%) demonstrated a poor response. Tumor characteristics, including diameter, distance from the anal verge, pre-TNT lymphocyte, pre-TNT hemoglobin, CA199, PLR, and HALP, exhibit correlations with TNT-induced tumor regression. Multivariate logistic regression analysis identified large tumor diameters (> 5.0 cm; p = 0.005, HR 2.958; 95% CI 1.382-6.335) and low HALP (≤ 40; p = 0.002, HR 0.261; 95% CI 0.111-0.612) as predictors of TNT-induced poor responses. Additionally, low levels of HALP were associated with an increased risk of recurrence in patients with LARC with TNT, but this was not statistically significant (p = 0.087, HR 2.008, 95% CI 0.906-4.447). Conclusion A large tumor diameter and low HALP predict poor tumor regression induced by the CAPOX-based TNT regimen in patients with LARC.
Collapse
Affiliation(s)
- Zhou Zhao
- Gastrointestinal Cancer Center, Chongqing University Cancer Hospital, Chongqing, 400030, People’s Republic of China
- Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing, 400030, People’s Republic of China
| | - Menghua Yan
- Gastrointestinal Cancer Center, Chongqing University Cancer Hospital, Chongqing, 400030, People’s Republic of China
| | - Huayang Pang
- Gastrointestinal Cancer Center, Chongqing University Cancer Hospital, Chongqing, 400030, People’s Republic of China
- Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing, 400030, People’s Republic of China
| | - Lihui Chen
- Gastrointestinal Cancer Center, Chongqing University Cancer Hospital, Chongqing, 400030, People’s Republic of China
| | - Xi Tang
- Gastrointestinal Cancer Center, Chongqing University Cancer Hospital, Chongqing, 400030, People’s Republic of China
| | - Zhixiong Chen
- Gastrointestinal Cancer Center, Chongqing University Cancer Hospital, Chongqing, 400030, People’s Republic of China
| | - Xiufeng Chen
- Gastrointestinal Cancer Center, Chongqing University Cancer Hospital, Chongqing, 400030, People’s Republic of China
| | - Hao Sun
- Gastrointestinal Cancer Center, Chongqing University Cancer Hospital, Chongqing, 400030, People’s Republic of China
| |
Collapse
|
2
|
Zhang F, Zhang X, Zhang X, Wang Y, Li T, Guo H, Ding P, Tian Y, Yang P, Li X, Meng N, Guo Z, Zhao Q, Zhang R. Recurrent metastatic patterns and prognosis after radical surgery in patients with alpha-fetoprotein-producing gastric cancer: a retrospective cohort study. Am J Cancer Res 2024; 14:2124-2140. [PMID: 38859826 PMCID: PMC11162674 DOI: 10.62347/iiio8739] [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: 03/21/2024] [Accepted: 04/24/2024] [Indexed: 06/12/2024] Open
Abstract
Alpha-fetoprotein-producing gastric cancer (AFPGC) is a rare and aggressive subtype of gastric cancer associated with poor prognosis. This study aimed to investigate the recurrent metastatic patterns and prognostic factors in AFPGC patients undergoing radical surgical resection. Data from 241 AFPGC patients diagnosed between January 2017 and January 2020 who underwent surgical resection were analyzed across multiple centers. Recurrence patterns, metastatic sites, and survival outcomes were evaluated. Univariate and multivariate analyses were performed to identify risk factors for recurrent metastasis, overall survival (OS), and disease-free survival (DFS). There is an annual increase in the proportion of AFPGC cases, rising from 3.45% in 2017 to 7.88% in 2023. Higher serum AFP level was associated with increased likelihood of lymph node metastasis (P=0.006), deeper invasion depth (P=0.000) and greater tumor diameter (P=0.036). Independent predictors of recurrent metastasis included T4 infiltration, lymph node metastasis, tumor diameter >5 cm, poorly differentiated-undifferentiated pathology, preoperative AFP>1000 ng/mL, and postoperative increasing trend in AFP levels. The 5-year OS and DFS rates were 36.5% and 34.2%, respectively, with poorer survival linked to higher preoperative AFP levels and postoperative increasing trend in AFP level. Independent risk factors for poor OS and DFS included T4 infiltration, lymph node metastasis, poorly differentiated-undifferentiated pathology, preoperative AFP>1000 ng/mL, and postoperative increasing trend in AFP. Serum AFP level can serve as a potential predictive and prognostic biomarker. Identifying independent risk factors informs risk stratification and personalized treatment for AFPGC patients.
Collapse
Affiliation(s)
- Fengbin Zhang
- Department of Gastroenterology, The Fourth Hospital of Hebei Medical UniversityShijiazhuang 050011, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric CancerShijiazhuang 050011, Hebei, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research CenterShijiazhuang 050011, Hebei, China
| | - Xinran Zhang
- Department of Gastroenterology, The Fourth Hospital of Hebei Medical UniversityShijiazhuang 050011, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric CancerShijiazhuang 050011, Hebei, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research CenterShijiazhuang 050011, Hebei, China
| | - Xin Zhang
- Department of Gastroenterology, The Fourth Hospital of Hebei Medical UniversityShijiazhuang 050011, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric CancerShijiazhuang 050011, Hebei, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research CenterShijiazhuang 050011, Hebei, China
| | - Yingnan Wang
- Department of Gastroenterology, The Fourth Hospital of Hebei Medical UniversityShijiazhuang 050011, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric CancerShijiazhuang 050011, Hebei, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research CenterShijiazhuang 050011, Hebei, China
| | - Tongkun Li
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric CancerShijiazhuang 050011, Hebei, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research CenterShijiazhuang 050011, Hebei, China
- Third Department of Surgery, The Fourth Hospital of Hebei Medical UniversityShijiazhuang 050011, Hebei, China
| | - Honghai Guo
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric CancerShijiazhuang 050011, Hebei, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research CenterShijiazhuang 050011, Hebei, China
- Third Department of Surgery, The Fourth Hospital of Hebei Medical UniversityShijiazhuang 050011, Hebei, China
| | - Ping’an Ding
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric CancerShijiazhuang 050011, Hebei, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research CenterShijiazhuang 050011, Hebei, China
- Third Department of Surgery, The Fourth Hospital of Hebei Medical UniversityShijiazhuang 050011, Hebei, China
| | - Yuan Tian
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric CancerShijiazhuang 050011, Hebei, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research CenterShijiazhuang 050011, Hebei, China
- Third Department of Surgery, The Fourth Hospital of Hebei Medical UniversityShijiazhuang 050011, Hebei, China
| | - Peigang Yang
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric CancerShijiazhuang 050011, Hebei, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research CenterShijiazhuang 050011, Hebei, China
- Third Department of Surgery, The Fourth Hospital of Hebei Medical UniversityShijiazhuang 050011, Hebei, China
| | - Xiaolong Li
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric CancerShijiazhuang 050011, Hebei, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research CenterShijiazhuang 050011, Hebei, China
- Department of General Surgery, Baoding First Central HospitalBaoding 071000, Hebei, China
| | - Ning Meng
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric CancerShijiazhuang 050011, Hebei, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research CenterShijiazhuang 050011, Hebei, China
- Department of General Surgery, Shijiazhuang People’s HospitalShijiazhuang 050050, Hebei, China
| | - Zhenjiang Guo
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric CancerShijiazhuang 050011, Hebei, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research CenterShijiazhuang 050011, Hebei, China
- Department of General Surgery, Hengshui People’s HospitalHengshui 053000, Hebei, China
| | - Qun Zhao
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric CancerShijiazhuang 050011, Hebei, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research CenterShijiazhuang 050011, Hebei, China
- Third Department of Surgery, The Fourth Hospital of Hebei Medical UniversityShijiazhuang 050011, Hebei, China
| | - Ruixing Zhang
- Department of Gastroenterology, The Fourth Hospital of Hebei Medical UniversityShijiazhuang 050011, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric CancerShijiazhuang 050011, Hebei, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer, Hebei Provincial Engineering Research CenterShijiazhuang 050011, Hebei, China
| |
Collapse
|
3
|
Song J, Wen Y, Liang L, Lv Y, Liu T, Wang R, Hu K. Prediction of severe radiation-induced oral mucositis in locally advanced nasopharyngeal carcinoma using the combined systemic immune-inflammatory index and prognostic nutritional index. Eur Arch Otorhinolaryngol 2024; 281:2627-2635. [PMID: 38472492 DOI: 10.1007/s00405-024-08536-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Accepted: 02/06/2024] [Indexed: 03/14/2024]
Abstract
OBJECTIVE Severe radiation-induced oral mucositis (sRIOM) can seriously affect patients' quality of life and treatment compliance. This study was to investigate the utility of the systemic immune-inflammatory index (SII) and prognostic nutritional index (PNI) in predicting sRIOM in patients with locally advanced nasopharyngeal carcinoma (LANPC). METHODS 295 patients with LANPC were retrospectively screened. The pre-radiotherapy SII and PNI were calculated based on peripheral blood samples. A receiver operating characteristic (ROC) curve was used to determine the cut-off value. Logistic regression was used for univariate and multivariate analyses. Patients were classified into three groups based on the SII-PNI score: score of 2, high SII (> cut-off value) and low PNI (≤ cut-off value); score of 1, either high SII or low PNI; score of 0, neither high SII nor low PNI. RESULTS The SII-PNI demonstrated significant predictive ability for sRIOM occurrence, as evidenced by an area under the curve (AUC) of 0.738. The incidence rates of sRIOM with SII-PNI score of 2, 1, and 0 were 73.86%, 44.35%, and 18.07%, respectively. Multivariate analysis confirmed that the SII-PNI score was an independent risk factor for sRIOM. CONCLUSION The SII-PNI score is a reliable and convenient indicator for predicting sRIOM in patients with LANPC.
Collapse
Affiliation(s)
- JunMei Song
- Department of Radiation Oncology, the First Affiliated Hospital of Guangxi Medical University, 22# Shuangyong Road, Nanning, 530021, Guangxi, China
- Oncology Department, Nanchong Central Hospital, The Second Clinical Institute of North Sichuan Medical College, Nanchong, 637000, Sichuan, China
- Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor (Guangxi Medical University), Ministry of Education, Nanning, 530021, China
| | - YaJing Wen
- Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangzhou, China
| | - Lixing Liang
- Department of Radiation Oncology, the First Affiliated Hospital of Guangxi Medical University, 22# Shuangyong Road, Nanning, 530021, Guangxi, China
- Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor (Guangxi Medical University), Ministry of Education, Nanning, 530021, China
| | - YuQing Lv
- Department of Radiation Oncology, the First Affiliated Hospital of Guangxi Medical University, 22# Shuangyong Road, Nanning, 530021, Guangxi, China
- Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor (Guangxi Medical University), Ministry of Education, Nanning, 530021, China
| | - Ting Liu
- Department of Radiation Oncology, the First Affiliated Hospital of Guangxi Medical University, 22# Shuangyong Road, Nanning, 530021, Guangxi, China
- Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor (Guangxi Medical University), Ministry of Education, Nanning, 530021, China
| | - RenSheng Wang
- Department of Radiation Oncology, the First Affiliated Hospital of Guangxi Medical University, 22# Shuangyong Road, Nanning, 530021, Guangxi, China.
- Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor (Guangxi Medical University), Ministry of Education, Nanning, 530021, China.
| | - Kai Hu
- Department of Radiation Oncology, the First Affiliated Hospital of Guangxi Medical University, 22# Shuangyong Road, Nanning, 530021, Guangxi, China.
- Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor (Guangxi Medical University), Ministry of Education, Nanning, 530021, China.
| |
Collapse
|
4
|
Dong Q, Zhao F, Li Y, Song F, Li E, Gao L, Xin Y, Shen G, Ren D, Wang M, Zhao Y, Liu Z, Xie Q, Liu Z, Li Z, Zhao J. The correlation between systemic inflammatory markers and efficiency for advanced gastric cancer patients treated with ICIs combined with chemotherapy. Immunology 2024; 172:77-90. [PMID: 38269606 DOI: 10.1111/imm.13759] [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: 09/01/2023] [Accepted: 01/11/2024] [Indexed: 01/26/2024] Open
Abstract
Currently lacking research to explore the correlation between inflammatory markers and the efficacy of immune checkpoint inhibitors (ICIs) combined with chemotherapy in the treatment of advanced gastric cancer. This study is a retrospective study and included patients with advanced gastric cancer who receiving ICIs combined with chemotherapy from January 2020 to December 2022. We analysed the relationship between systemic inflammatory markers and the efficacy of ICIs combined chemotherapy and constructed a clinical prediction model. A nomogram was constructed based on the results of the bidirectional stepwise regression model. A total of 197 patients were enrolled in the training group, with a median follow-up period of time 26 months. Kaplan Meier analysis showed that the median OS of patients with low systemic immune-inflammatory index (SII) and low platelet to lymphocyte ratio (PLR) was superior to those with high SII and PLR. Univariate and multivariate Cox regression analysis showed that SII, NLR, PLR, and N stage as independent prognostic factors for OS. Adding SII to the conventional model improved the predictive ability of the 12-month OS. A total of 95 patients were included in the validation group, and external validation of the SII-based nomogram showed favourable predictive performance. Baseline SII, PLR, and N stage may serve as independent predictive factors for survival outcomes in advanced gastric cancer patients undergoing ICIs combined with chemotherapy. The SII-based nomogram can provide intuitive and accurate prognosis prediction of individual patients.
Collapse
Affiliation(s)
- Qiuxia Dong
- Research Center for High Altitude Medicine, Qinghai University, Xining, People's Republic of China
- Key Laboratory of Plateau Medicine, Ministry of Education, Qinghai University, Xining, People's Republic of China
- Qinghai Key Laboratory of Plateau Medical Application Foundation (Qinghai-Utah Joint Research key Laboratory for High Altitude Medicine), Qinghai University, Xining, People's Republic of China
- Qinghai Red Cross Hospital, The Second Ward of Oncology, Xining, People's Republic of China
| | - Fuxing Zhao
- Research Center for High Altitude Medicine, Qinghai University, Xining, People's Republic of China
- Key Laboratory of Plateau Medicine, Ministry of Education, Qinghai University, Xining, People's Republic of China
- Qinghai Key Laboratory of Plateau Medical Application Foundation (Qinghai-Utah Joint Research key Laboratory for High Altitude Medicine), Qinghai University, Xining, People's Republic of China
- Breast Disease Diagnosis and Treatment Center, Affiliated Hospital of Qinghai University, Affiliated Cancer Hospital of Qinghai University, Qinghai Provincial Clinical Research Center for Cancer, Qinghai Provincial Institute of Cancer Research, Xining, People's Republic of China
| | - Yuying Li
- Affiliated Hospital of Qinghai University, Affiliated Cancer Hospital of Qinghai University, The Second Ward of Oncology, Xining, People's Republic of China
| | - Feixue Song
- Department of Medical Oncology, The Second Hospital of Lanzhou University, Lanzhou, People's Republic of China
| | - Enxi Li
- Department of Medical Oncology, The Second Hospital of Lanzhou University, Lanzhou, People's Republic of China
| | - Lihong Gao
- The Fifth People's Hospital of Qinghai Province, The First Ward of Oncology, Xining, People's Republic of China
| | - Yuanfang Xin
- Qinghai Red Cross Hospital, The Second Ward of Oncology, Xining, People's Republic of China
| | - Guoshuang Shen
- Breast Disease Diagnosis and Treatment Center, Affiliated Hospital of Qinghai University, Affiliated Cancer Hospital of Qinghai University, Qinghai Provincial Clinical Research Center for Cancer, Qinghai Provincial Institute of Cancer Research, Xining, People's Republic of China
| | - Dengfeng Ren
- Breast Disease Diagnosis and Treatment Center, Affiliated Hospital of Qinghai University, Affiliated Cancer Hospital of Qinghai University, Qinghai Provincial Clinical Research Center for Cancer, Qinghai Provincial Institute of Cancer Research, Xining, People's Republic of China
| | - Miaozhou Wang
- Breast Disease Diagnosis and Treatment Center, Affiliated Hospital of Qinghai University, Affiliated Cancer Hospital of Qinghai University, Qinghai Provincial Clinical Research Center for Cancer, Qinghai Provincial Institute of Cancer Research, Xining, People's Republic of China
| | - Yi Zhao
- Breast Disease Diagnosis and Treatment Center, Affiliated Hospital of Qinghai University, Affiliated Cancer Hospital of Qinghai University, Qinghai Provincial Clinical Research Center for Cancer, Qinghai Provincial Institute of Cancer Research, Xining, People's Republic of China
| | - Zhen Liu
- Breast Disease Diagnosis and Treatment Center, Affiliated Hospital of Qinghai University, Affiliated Cancer Hospital of Qinghai University, Qinghai Provincial Clinical Research Center for Cancer, Qinghai Provincial Institute of Cancer Research, Xining, People's Republic of China
| | - Qiqi Xie
- Breast Disease Diagnosis and Treatment Center, Affiliated Hospital of Qinghai University, Affiliated Cancer Hospital of Qinghai University, Qinghai Provincial Clinical Research Center for Cancer, Qinghai Provincial Institute of Cancer Research, Xining, People's Republic of China
| | - Zhilin Liu
- Breast Disease Diagnosis and Treatment Center, Affiliated Hospital of Qinghai University, Affiliated Cancer Hospital of Qinghai University, Qinghai Provincial Clinical Research Center for Cancer, Qinghai Provincial Institute of Cancer Research, Xining, People's Republic of China
| | - Zitao Li
- Breast Disease Diagnosis and Treatment Center, Affiliated Hospital of Qinghai University, Affiliated Cancer Hospital of Qinghai University, Qinghai Provincial Clinical Research Center for Cancer, Qinghai Provincial Institute of Cancer Research, Xining, People's Republic of China
| | - Jiuda Zhao
- Research Center for High Altitude Medicine, Qinghai University, Xining, People's Republic of China
- Key Laboratory of Plateau Medicine, Ministry of Education, Qinghai University, Xining, People's Republic of China
- Qinghai Key Laboratory of Plateau Medical Application Foundation (Qinghai-Utah Joint Research key Laboratory for High Altitude Medicine), Qinghai University, Xining, People's Republic of China
- Breast Disease Diagnosis and Treatment Center, Affiliated Hospital of Qinghai University, Affiliated Cancer Hospital of Qinghai University, Qinghai Provincial Clinical Research Center for Cancer, Qinghai Provincial Institute of Cancer Research, Xining, People's Republic of China
| |
Collapse
|
5
|
Feier CVI, Muntean C, Faur AM, Vonica RC, Blidari AR, Murariu MS, Olariu S. An Exploratory Assessment of Pre-Treatment Inflammatory Profiles in Gastric Cancer Patients. Diseases 2024; 12:78. [PMID: 38667536 PMCID: PMC11048996 DOI: 10.3390/diseases12040078] [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: 03/19/2024] [Revised: 04/08/2024] [Accepted: 04/14/2024] [Indexed: 04/28/2024] Open
Abstract
Gastric cancer ranks as the fifth most common cancer, and the assessment of inflammatory biomarkers in these patients holds significant promise in predicting prognosis. Therefore, data from patients undergoing surgical intervention for gastric cancer over a 7-year period were analyzed. This study was retrospective and involved a preoperative investigation of six inflammatory parameters derived from complete blood counts. Statistical analysis revealed a significant increase in the leucocyte-to-monocyte ratio (LMR) (p = 0.048), along with a significant decrease in the number of lymphocytes and monocytes compared to patients with successful discharge. Taking into consideration patients undergoing emergency surgery, a significant increase in the LMR (p = 0.009), neutrophil-to-lymphocyte ratio (NLR) (p = 0.004), Aggregate Index of Systemic Inflammation (AISI) (p = 0.01), and Systemic Immune-Inflammation Index (SII) (p = 0.028) was observed. Regarding relapse, these patients exhibited significant increases in AISI (p = 0.032) and SII (p = 0.047). Inflammatory biomarkers represent a valuable tool in evaluating and predicting the prognosis of patients with gastric cancer.
Collapse
Affiliation(s)
- Catalin Vladut Ionut Feier
- First Discipline of Surgery, Department X-Surgery, “Victor Babes” University of Medicine and Pharmacy, 2 Eftimie Murgu Sq., 300041 Timisoara, Romania; (C.V.I.F.); (M.-S.M.); (S.O.)
- First Surgery Clinic, “Pius Brinzeu” Clinical Emergency Hospital, 300723 Timisoara, Romania
| | - Calin Muntean
- Medical Informatics and Biostatistics, Department III-Functional Sciences, “Victor Babeș” University of Medicine and Pharmacy, 2 Eftimie Murgu Sq., 300041 Timisoara, Romania
| | - Alaviana Monique Faur
- Faculty of Medicine, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania;
| | - Razvan Constantin Vonica
- Preclinical Department, Discipline of Physiology, Faculty of Medicine, “Lucian Blaga” University of Sibiu, 550169 Sibiu, Romania;
| | - Andiana Roxana Blidari
- Oncology, Department IX-Surgery, “Victor Babes” University of Medicine and Pharmacy, 2 Eftimie Murgu Sq., 300041 Timisoara, Romania;
| | - Marius-Sorin Murariu
- First Discipline of Surgery, Department X-Surgery, “Victor Babes” University of Medicine and Pharmacy, 2 Eftimie Murgu Sq., 300041 Timisoara, Romania; (C.V.I.F.); (M.-S.M.); (S.O.)
- First Surgery Clinic, “Pius Brinzeu” Clinical Emergency Hospital, 300723 Timisoara, Romania
| | - Sorin Olariu
- First Discipline of Surgery, Department X-Surgery, “Victor Babes” University of Medicine and Pharmacy, 2 Eftimie Murgu Sq., 300041 Timisoara, Romania; (C.V.I.F.); (M.-S.M.); (S.O.)
- First Surgery Clinic, “Pius Brinzeu” Clinical Emergency Hospital, 300723 Timisoara, Romania
| |
Collapse
|
6
|
Deng G, Zhu D, Du Z, Xue Y, Song H, Li Y. Body composition change indices combined with Prognostic Nutritional Index predicts the clinical outcomes of patients with gastric cancer treated with immune checkpoint inhibitor. Cancer Med 2024; 13:e7110. [PMID: 38506237 PMCID: PMC10952022 DOI: 10.1002/cam4.7110] [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: 11/21/2023] [Revised: 02/02/2024] [Accepted: 03/04/2024] [Indexed: 03/21/2024] Open
Abstract
OBJECTIVE This study aimed to investigate the prognostic significance of the Prognostic Nutritional Index (PNI) in conjunction with body composition change indices, namely subcutaneous fat area (SFA) and skeletal muscle index (SMI), with regard to clinical outcomes in patients with gastric cancer (GC) undergoing immune checkpoint inhibitors (ICIs) treatment. METHODS This retrospective investigation encompassed patients with comprehensive clinical and pathological data, inclusive of portal phase enhanced CT images. Continuous variables underwent analysis utilizing the Student t-test or Mann-Whitney U-test, while categorical variables were assessed employing the Pearson chi-squared test or Fisher test. Survival outcomes were evaluated using Kaplan-Meier survival curves and the Log-rank test. Independent prognostic indicators were determined through Cox regression analysis, and a nomogram predicting survival probability for progression-free survival (PFS) and overall survival (OS) was constructed. RESULTS Within the PNI-SFA groups, patients in Group 1 exhibited inferior PFS and OS compared to the other two groups. Similarly, among the PNI-SMI groups, Group 1 patients demonstrated poorer PFS and OS. PNI-SMI and Eosi were identified as independent prognostic factors through Cox regression analysis. Furthermore, positive associations with patient prognosis were observed for BMI, SAF, SMI, and PNI. CONCLUSION The comprehensive consideration of PNI-SFA and PNI-SMI proved to be a superior prognostic predictor for GC patients undergoing ICI treatment.
Collapse
Affiliation(s)
- Guiming Deng
- Department of Gastrointestinal SurgeryHarbin Medical University Cancer Hospital, Harbin Medical UniversityHarbinHeilongjiangChina
| | - Dayong Zhu
- Department of General SurgeryHeilongjiang Provincial HospitalHarbinHeilongjiangChina
| | - Zhongze Du
- Department of Gastrointestinal SurgeryHarbin Medical University Cancer Hospital, Harbin Medical UniversityHarbinHeilongjiangChina
| | - Yingwei Xue
- Department of Gastrointestinal SurgeryHarbin Medical University Cancer Hospital, Harbin Medical UniversityHarbinHeilongjiangChina
| | - Hongjiang Song
- Department of Gastrointestinal SurgeryHarbin Medical University Cancer Hospital, Harbin Medical UniversityHarbinHeilongjiangChina
| | - Yuanzhou Li
- Department of RadiologyHarbin Medical University, Cancer Hospital, Harbin Medical UniversityHarbinHeilongjiangChina
| |
Collapse
|
7
|
Zhou L, Huang C, Zhu X, Ma Z. Combined Systemic Immune-inflammatory Index (SII) and Geriatric Nutritional Risk Index (GNRI) predict survival in elderly patients with hip fractures: a retrospective study. J Orthop Surg Res 2024; 19:125. [PMID: 38321497 PMCID: PMC10845798 DOI: 10.1186/s13018-024-04585-3] [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: 10/17/2023] [Accepted: 01/26/2024] [Indexed: 02/08/2024] Open
Abstract
PURPOSE The Systemic Immune-inflammatory Index (SII) and Geriatric Nutritional Risk Index (GNRI) have undergone comprehensive examination and validation in forecasting the outcomes of diverse medical conditions. Nevertheless, the correlation between the combined use of GNRI and SII metrics and hip fractures has yet to be elucidated. This study aimed to determine whether the amalgamation of SII and GNRI scores constitutes an independent prognostic factor for elderly patients with hip fractures. METHODS We conducted a retrospective analysis of elderly patients admitted to our facility with hip fractures, encompassing both femoral neck and intertrochanteric fractures. Demographic information, experimental parameters, and postoperative complications were systematically recorded. The Geriatric Nutritional Risk Index (GNRI) and Systemic Immunoinflammatory Index (SII) were meticulously computed. Receiver operating characteristic (ROC) curves were generated, and optimal cutoff values for each parameter were determined. Subsequently, a multivariate Cox regression analysis was employed to assess the predictive utility of the SII-GNRI score in relation to 1-year postoperative mortality among elderly patients with hip fractures. RESULTS In a study involving 597 patients, 90 of whom experienced mortality within 1 year, it was observed that the SII-GNRI score in the group of patients who passed away was significantly higher compared to the group that survived. Following a multifactorial adjustment, it was established that a high SII-GNRI score served as an independent predictor of 1-year all-cause mortality in older patients with hip fractures. In addition to the SII-GNRI score, factors such as length of hospital stay, CCI > 2, and blood transfusion were also identified as independent risk factors for survival. Notably, the incidence of postoperative complications in patients with high SII-GNRI scores was significantly greater than in patients with low scores. CONCLUSION The SII-GNRI score proves valuable in predicting the 1-year survival rate for elderly patients with hip fractures who have undergone surgery.
Collapse
Affiliation(s)
- Ling Zhou
- Graduate School of Dalian Medical University, Dalian, China
- Department of Orthopaedic Surgery, Qingdao Municipal Hospital, Qingdao, China
| | - Chao Huang
- Department of Orthopaedic Surgery, People's Hospital of Rizhao, Rizhao, China
| | - Xianjie Zhu
- Department of Orthopaedic Surgery, Qingdao Municipal Hospital, Qingdao, China
| | - Zhenhua Ma
- Department of Orthopaedic Surgery, Qingdao Municipal Hospital, Qingdao, China.
| |
Collapse
|
8
|
Tang R, Chen J, Zhou Q, Deng J, Zhan X, Wang X, Wen Y, Su N, Feng X, Xu Q. Association between systemic immune inflammation Index and all-cause mortality in incident peritoneal dialysis-treated CKD patients: a multi-center retrospective cohort study. BMC Nephrol 2024; 25:8. [PMID: 38172773 PMCID: PMC10765751 DOI: 10.1186/s12882-023-03451-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 12/28/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND Chronic inflammatory disorders in peritoneal dialysis (PD) contribute to the adverse clinical outcome. Systemic immune inflammation index (SII) is the novel and convenient measurement that is positively associated with various diseases. However, scarce is known regarding the association between SII with all-cause mortality among PD patients. METHODS In this multi-center retrospective cohort study, 1,677 incident patients with PD were enrolled. Eligible patients were stratified into groups based on SII level: tertile 1(< 456.76), tertile 2(456.76 to 819.03), and tertile 3(> 819.03). The primary endpoint was the all-cause mortality. Both Cox regression analysis and competing risk models were used to examine the association between SII and all-cause mortality. Subgroup analysis was performed to assess the influence of the SII tertiles on all-cause mortality in different subgroups. RESULTS During the follow-up period of 30.5 ± 20.0 months, 26.0% (437/1,677) patients died, of whom the SII tertile 3 group accounted for 39.1% (171/437) of the deaths. Patients in the SII tertile 3 group had a higher all-cause mortality rate than patients in the SII tertile 1 and 2 groups (log-rank = 13.037, P < 0.001). The SII tertile 3 group was significantly associated with 80% greater risk (95% confidence interval:1.13 to 2.85; P = 0.013) compared with the SII tertile 1 group in multivariable Cox regression analysis. The competing risk model also indicated that the relationship between SII tertiles and all-cause mortality remains (subdistribution hazard ratio: 1.86; 95% confidence interval: 1.15 to 2.02, P = 0.011). Furthermore, the relationship between the log-transformed SII and all-cause mortality in patients with PD was nearly linear (P = 0.124). CONCLUSION A close relationship was observed between the SII and all-cause mortality in patients undergoing PD, suggesting that more attention should be paid to the SII, which is a convenient and effective measurement in clinical practice.
Collapse
Affiliation(s)
- Ruiying Tang
- Department of Nephrology, Jiangmen Central Hospital, No. 23 Hai Bang Road, Jiangmen, 529000, China
| | - Jiexin Chen
- Department of Nephrology, Jiangmen Central Hospital, No. 23 Hai Bang Road, Jiangmen, 529000, China
| | - Qian Zhou
- Department of Medical Statistics, Clinical Trials Unit, The First Affiliated Hospital, Sun Yat-Sen Univeristy, Guangzhou, China
| | - Jihong Deng
- Department of Nephrology, Jiangmen Central Hospital, No. 23 Hai Bang Road, Jiangmen, 529000, China
| | - Xiaojiang Zhan
- Department of Nephrology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Xiaoyang Wang
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou Univeristy, ZhengZhou, China
| | - Yueqiang Wen
- Department of Nephrology, the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ning Su
- Department of Hematology, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Xiaoran Feng
- Department of Nephrology, Jiujiang NO.1 People's Hospital, Jiujiang, China
| | - Qingdong Xu
- Department of Nephrology, Jiangmen Central Hospital, No. 23 Hai Bang Road, Jiangmen, 529000, China.
| |
Collapse
|
9
|
Wu Y, Zhao J, Wang Z, Liu D, Tian C, Ye B, Sun Y, Li H, Wang X. Association of systemic inflammatory markers and tertiary lymphoid structure with pathological complete response in gastric cancer patients receiving preoperative treatment: a retrospective cohort study. Int J Surg 2023; 109:4151-4161. [PMID: 38259000 PMCID: PMC10720847 DOI: 10.1097/js9.0000000000000741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 08/24/2023] [Indexed: 01/24/2024]
Abstract
BACKGROUND Assessment of systemic and local immune responses is crucial in determining the efficacy of cancer interventions. The identification of specific factors that correlate with pathological complete response (pCR) is essential for optimizing treatment decisions. METHODS In this retrospective study, a total of 521 patients diagnosed with gastric adenocarcinoma who underwent curative gastrectomy following preoperative treatment were reviewed. Of these patients, 463 did not achieve pCR (non-pCR) and 58 achieved pCR. Clinicopathological factors were evaluated to identify predictors for pCR using a logistic regression model. Additionally, a smaller cohort (n=76) was derived using propensity score matching to investigate local immune response, specifically the features of tertiary lymphoid structure (TLS) using H&E staining, immunohistochemistry, and multiplex immunofluorescence. RESULTS The multivariate regression analysis demonstrated a significant association between low systemic inflammatory status and pCR, as evidenced by reduced levels of the combined systemic immune-inflammation index (SII) and neutrophil-to-lymphocyte ratio (NLR) (SII+NLR) (odds ratio: 3.33, 95% CI: 1.79-6.17, P<0.001). In the smaller cohort analysis, distinct TLS characteristics were correlated with the presence of pCR. Specifically, a higher density of TLS and a lower proportion of PD1+ cells and CD8+ cells within TLS in the tumor bed were strongly associated with pCR. CONCLUSION Both systemic and local immune profile were associated with pCR. A low level of SII+NLR served as an independent predictor of pCR, while distinct TLS features were associated with the presence of pCR. Focusing on the immune profile was crucial for optimal management of gastric cancer patients receiving preoperative treatment.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | - Haojie Li
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, People’s Republic of China
| | - Xuefei Wang
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, People’s Republic of China
| |
Collapse
|
10
|
Guo J, Yang Q, Jiang Q, Gu LW, Lin HX, Guo L. Integrating Baseline Nutritional and Inflammatory Parameters with Post-Treatment EBV DNA Level to Predict Outcomes of Patients with De Novo Metastatic Nasopharyngeal Carcinoma Receiving Chemotherapy Combination PD-1 Inhibitor. Nutrients 2023; 15:4262. [PMID: 37836546 PMCID: PMC10574520 DOI: 10.3390/nu15194262] [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: 09/04/2023] [Revised: 09/25/2023] [Accepted: 09/28/2023] [Indexed: 10/15/2023] Open
Abstract
OBJECTIVES To develop and validate a prognostic nomogram based on baseline nutritional and inflammatory parameters for risk stratification in patients with de novo metastatic nasopharyngeal carcinoma (dmNPC) receiving chemotherapy combination programmed death-1 (PD-1) inhibitor. METHODS This retrospective study analyzed 131 patients with dmNPC (88 and 43 in the training and validation cohorts, respectively) between March 2017 and November 2020. All these patients received chemotherapy combined with PD-1 inhibitor treatment. We identified independent risk factors using univariate and multivariate Cox regression analyses and established a nomogram to predict the progression-free survival (PFS). The predictive accuracy of the nomogram was evaluated and independently validated. RESULTS Baseline nutritional risk index (NRI), prognostic nutritional index (PNI), systemic immune-inflammation index (SII), uric acid (UA), and post-treatment Epstein-Barr virus (EBV) DNA were used to develop a nomogram that could divide patients into favorable- and unfavorable-prognosis groups. The median PFS (mPFS) was significantly longer in the favorable-prognosis group compared to the unfavorable-prognosis group (35.10 months [95% CI: 27.36-42.84] vs. 7.23 months [95% CI: 6.50-7.97]; p = 0.001). All results were confirmed in the validation cohort. CONCLUSIONS The proposed model improved the prognostic risk stratification for patients with dmNPC undergoing chemotherapy combined with PD-1 inhibitor treatment.
Collapse
Affiliation(s)
- Jia Guo
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; (J.G.); (Q.Y.); (Q.J.); (L.-W.G.); (H.-X.L.)
- Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Qi Yang
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; (J.G.); (Q.Y.); (Q.J.); (L.-W.G.); (H.-X.L.)
- Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Qi Jiang
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; (J.G.); (Q.Y.); (Q.J.); (L.-W.G.); (H.-X.L.)
| | - Li-Wen Gu
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; (J.G.); (Q.Y.); (Q.J.); (L.-W.G.); (H.-X.L.)
- Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Huan-Xin Lin
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; (J.G.); (Q.Y.); (Q.J.); (L.-W.G.); (H.-X.L.)
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Ling Guo
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, China; (J.G.); (Q.Y.); (Q.J.); (L.-W.G.); (H.-X.L.)
- Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| |
Collapse
|
11
|
Lv J, Wu J, Wu H, Ding P, Guo H, Yang P, Tian Y, Liu Y, Zhao Q. Study protocol of a phase II clinical trial evaluating the efficacy of neoadjuvant intraperitoneal and systemic albumin-bound paclitaxel combined with camrelizumab and S-1 in the treatment of patients with exfoliative cell-positive gastric cancer. Front Oncol 2023; 13:1201928. [PMID: 37841441 PMCID: PMC10571916 DOI: 10.3389/fonc.2023.1201928] [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: 04/07/2023] [Accepted: 08/08/2023] [Indexed: 10/17/2023] Open
Abstract
Background Currently, gastric cancer with positive lavage cytology without gross peritoneal dissemination (GC-CY1) is a special type of metastatic form with poor prognosis. Consensus guidelines on treatment strategies for patients with GC-CY1 have not been established. This study involves a single-arm, prospective, phase II clinical trial to examine the efficacy and safety of neoadjuvant intraperitoneal and systemic (NIPS) albumin-bound paclitaxel combined with Camrelizumab and S-1 in the treatment of GC-CY1 patients. Methods/design This is a prospective single-center exploratory study, and the primary endpoints of the trial are R0 resection rate and conversion rate of abdominal free cancer cells (FCCs), with secondary endpoints of 3-year progression-free survival (PFS); 3-year overall survival (OS); objective remission rate (ORR); disease control rate (DCR); safety and TRG classification. Discussion This study is the first to apply NIPS albumin-bound paclitaxel combined with Camrelizumab and S-1 to the conversion therapy of GC-CY1 patients. It is speculated that this combination of regimens will increase the negative conversion rate of FCCs by 20%, which will provide innovative insights into conversion treatment ideas for GC-CY1 patients to be managed in a more comprehensive and optimized manner. Clinical trial registration http://clinicaltrials.gov/, identifier NCT05410847.
Collapse
Affiliation(s)
- Jingxia Lv
- The Third Department of Surgery, the Fourth Hospital of Hebei Medical University, Shijiazhuang, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, China
| | - Jiaxiang Wu
- The Third Department of Surgery, the Fourth Hospital of Hebei Medical University, Shijiazhuang, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, China
| | - Haotian Wu
- The Third Department of Surgery, the Fourth Hospital of Hebei Medical University, Shijiazhuang, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, China
| | - Ping’an Ding
- The Third Department of Surgery, the Fourth Hospital of Hebei Medical University, Shijiazhuang, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, China
| | - Honghai Guo
- The Third Department of Surgery, the Fourth Hospital of Hebei Medical University, Shijiazhuang, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, China
| | - Peigang Yang
- The Third Department of Surgery, the Fourth Hospital of Hebei Medical University, Shijiazhuang, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, China
| | - Yuan Tian
- The Third Department of Surgery, the Fourth Hospital of Hebei Medical University, Shijiazhuang, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, China
| | - Yang Liu
- The Third Department of Surgery, the Fourth Hospital of Hebei Medical University, Shijiazhuang, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, China
| | - Qun Zhao
- The Third Department of Surgery, the Fourth Hospital of Hebei Medical University, Shijiazhuang, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, China
| |
Collapse
|
12
|
Melekoglu E, Bayram E, Secmeler S, Mete B, Sahin B. Pretreatment Modified Glasgow Prognostic Score for Predicting Prognosis and Survival in Elderly Patients with Gastric Cancer Treated with Perioperative FLOT. Nutrients 2023; 15:4156. [PMID: 37836440 PMCID: PMC10574228 DOI: 10.3390/nu15194156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Revised: 09/15/2023] [Accepted: 09/20/2023] [Indexed: 10/15/2023] Open
Abstract
The adverse effects of chemotherapy are more apparent in elderly patients and lead to worse prognosis and mortality. Identifying immunonutritional risk factors is of great importance in terms of treatment effectiveness, prognosis, and mortality in geriatric oncology. The modified Glasgow prognostic score (mGPS) is an immunonutritional index based on serum CRP and albumin levels. In this study, we aimed to investigate the role of mGPS in predicting prognosis and survival in elderly patients with gastric cancer receiving perioperative FLOT treatment. We retrospectively enrolled 71 patients aged over 65 years and grouped them according to their pretreatment mGPS score. Kaplan-Meier and Cox regression analysis showed overall survival was significantly worse in the mGPS 1 and mGPS 2 groups than in the mGPS 0 group (p = 0.005 and p < 0.001, respectively). Compared to the mGPS 0 group, the mGPS 1 group had a 6.25 times greater risk of death (95% CI: 1.61-24.28, p = 0.008), and the mGPS 2 group had a 6.59 times greater risk of death (95% CI: 2.08-20.85, p = 0.001). High BMI was identified as a significant risk factor for being in the mGPS 2 group (OR: 1.20, 95% CI: 1.018-1.425, p = 0.030). In conclusion, elevated pretreatment mGPS was associated with poor overall survival in elderly patients with gastric cancer treated with perioperative FLOT therapy. As such, pretreatment mGPS can be a simple and useful tool to predict mortality in this specific patient group.
Collapse
Affiliation(s)
- Ebru Melekoglu
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Cukurova University, Adana 01250, Turkey
| | - Ertugrul Bayram
- Department of Medical Oncology, Faculty of Medicine, Cukurova University, Adana 01250, Turkey; (E.B.); (B.S.)
| | - Saban Secmeler
- Department of Medical Oncology, Bahcelievler Medicalpark Hospital, Altinbas University, Istanbul 34180, Turkey;
| | - Burak Mete
- Department of Public Health, Faculty of Medicine, Cukurova University, Adana 01250, Turkey;
| | - Berksoy Sahin
- Department of Medical Oncology, Faculty of Medicine, Cukurova University, Adana 01250, Turkey; (E.B.); (B.S.)
| |
Collapse
|
13
|
Liang X, Zhou S, Xiao Z. Prognostic value of lactate dehydrogenase in patients with uveal melanoma treated with immune checkpoint inhibition. Aging (Albany NY) 2023; 15:8770-8781. [PMID: 37671944 PMCID: PMC10522394 DOI: 10.18632/aging.204996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 07/19/2023] [Indexed: 09/07/2023]
Abstract
OBJECTIVE We performed the meta-analysis to explore the predictive value of lactate dehydrogenase (LDH) levels in uveal melanoma (UM) patients receiving immune checkpoint inhibitors (ICIs). METHODS Eligible articles were obtained through EMBASE, PubMed, Google Scholar, and the Cochrane Library, until March 23, 2023. The clinical outcomes evaluated in this study encompassed overall survival (OS) and progression-free survival (PFS). RESULTS This meta-analysis comprised eight studies with a combined total of 383 patients. The results showed that patients with high LDH levels had noticeably worse OS (HR: 3.445, 95% CI: 2.504-4.740, p < 0.001) and PFS (HR: 1.720, 95% CI: 1.429-2.070, p < 0.001). Subgroup analysis confirmed that the upper limit of normal was the ideal cut-off value for LDH. In multivariate analysis, we also found that high LDH levels significantly predicted shorter OS (HR: 3.405, 95% CI: 1.827-6.348, p < 0.001) and PFS (HR: 2.519, 95% CI: 1.557-4.076, p < 0.001) in UM patients. The sensitivity analysis and publication bias test supported the reliability of our results. CONCLUSIONS In UM patients treated with ICIs, the LDH levels were reliable indicators of prognosis.
Collapse
Affiliation(s)
- Xiaocui Liang
- Department of Ophthalmology, Wuhan No. 1 Hospital, Wuhan 430023, Hubei Province, China
- Department of Ophthalmology, Wuhan Hospital of Traditional Chinese and Western Medicine, Wuhan 430023, Hubei Province, China
| | - Shan Zhou
- Department of Ophthalmology, Wuhan No. 1 Hospital, Wuhan 430023, Hubei Province, China
- Department of Ophthalmology, Wuhan Hospital of Traditional Chinese and Western Medicine, Wuhan 430023, Hubei Province, China
| | - Zefeng Xiao
- Department of Ophthalmology, Wuhan No. 1 Hospital, Wuhan 430023, Hubei Province, China
- Department of Ophthalmology, Wuhan Hospital of Traditional Chinese and Western Medicine, Wuhan 430023, Hubei Province, China
| |
Collapse
|
14
|
Li L, Tianrui K, Chunlei L, Zhendong Q, Xiaoyan C, Wenhong D. HYDIN mutation status as a potential predictor of immune checkpoint inhibitor efficacy in melanoma. Aging (Albany NY) 2023; 15:7997-8012. [PMID: 37595251 PMCID: PMC10496993 DOI: 10.18632/aging.204925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 07/10/2023] [Indexed: 08/20/2023]
Abstract
BACKGROUND The advent of immune checkpoint inhibitors (ICIs) has altered the outlook for cancer treatment. The estimation of predictive biomarkers could contribute to maximizing the benefits from ICIs treatment. Here, we explored the association between HYDIN mutations (HYDIN-MUT) in melanoma and ICIs efficacy. METHODS Clinical data and sequencing data from published studies were utilized to assess the association between HYDIN-MUT and the efficacy of ICIs treatment in melanoma patients. RESULTS Compared to other tumor types, HYDIN (36.14%) has the highest mutation rate in melanoma patients. In the anti-PD-1 treated cohort (n = 254), the HYDIN-MUT patients had a longer OS after ICIs treatment than the HYDIN wild-type (HYDIN-WT) patients (HR = 0.590 [95% CI, 0.410-0.847], P = 0.004); the objective response rate (ORR) and durable clinical benefit (DCB) were increased in patients with HYDIN-MUT (ORR = 46.25, DCB = 56.00%) compared to patients with HYDIN-WT (ORR = 30.99%, DCB = 42.76%) (ORR: P = 0.019; DCB: P = 0.060). In the anti-CTLA4 treated cohort (n = 174), HYDIN-MUT patients achieved significantly longer OS than HYDIN-WT patients (HR = 0.549 [95% CI, 0.366-0.823], P = 0.003); the proportion of ORR and DCB in HYDIN-MUT patients was significantly higher than that in HYDIN-WT patients (ORR 40.54% vs. 14.42%, P = 0.031; DCB 45.76% vs. 22.22%, P = 0.002). Further gene set enrichment analysis demonstrated that DNA repair and anti-tumor immunity were significantly enhanced in HYDIN-MUT patients. CONCLUSIONS HYDIN mutations are a potential predictive biomarker of ICIs efficacy in melanoma patients.
Collapse
Affiliation(s)
- Liu Li
- Department of General Surgery, Renmin Hospital of Wuhan University, Wuhan, Hubei Province, China
| | - Kuang Tianrui
- Department of General Surgery, Renmin Hospital of Wuhan University, Wuhan, Hubei Province, China
| | - Li Chunlei
- Department of General Surgery, Renmin Hospital of Wuhan University, Wuhan, Hubei Province, China
| | - Qiu Zhendong
- Department of General Surgery, Renmin Hospital of Wuhan University, Wuhan, Hubei Province, China
| | - Chen Xiaoyan
- Department of General Surgery, Renmin Hospital of Wuhan University, Wuhan, Hubei Province, China
| | - Deng Wenhong
- Department of General Surgery, Renmin Hospital of Wuhan University, Wuhan, Hubei Province, China
| |
Collapse
|
15
|
Sun H, Wang H, Pan H, Zuo Y, Zhao R, Huang R, Xue Y, Song H. CD19 (+) B Cell Combined with Prognostic Nutritional Index Predicts the Clinical Outcomes of Patients with Gastric Cancer Who Underwent Surgery. Cancers (Basel) 2023; 15:cancers15092531. [PMID: 37173997 PMCID: PMC10177131 DOI: 10.3390/cancers15092531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 04/21/2023] [Accepted: 04/27/2023] [Indexed: 05/15/2023] Open
Abstract
(1) Background: The aim of this study was to explore the predictive ability of lymphocyte subsets for the prognosis of gastric cancer patients who underwent surgery and the prognostic value of CD19 (+) B cell combined with the Prognostic Nutritional Index (PNI). (2) Methods: This study involved 291 patients with gastric cancer who underwent surgery at our institution between January 2016 and December 2017. All patients had complete clinical data and peripheral lymphocyte subsets. Differences in clinical and pathological characteristics were examined using the Chi-square test or independent sample t-tests. The difference in survival was evaluated using Kaplan-Meier survival curves and the Log-rank test. Cox's regression analysis was performed to identify independent prognostic indicators, and nomograms were used to predict survival probabilities. (3) Results: Patients were categorized into three groups based on their CD19 (+) B cell and PNI levels, with 56 cases in group one, 190 cases in group two, and 45 cases in group three. Patients in group one had a shorter progression-free survival (PFS) (HR = 0.444, p < 0.001) and overall survival (OS) (HR = 0.435, p < 0.001). CD19 (+) B cell-PNI had the highest area under the curve (AUC) compared with other indicators, and it was also identified as an independent prognostic factor. Moreover, CD3 (+) T cell, CD3 (+) CD8 (+) T cell, and CD3 (+) CD16 (+) CD56 (+) NK T cell were all negatively correlated with the prognosis, while CD19 (+) B cell was positively associated with the prognosis. The C-index and 95% confidence interval (CI) of nomograms for PFS and OS were 0.772 (0.752-0.833) and 0.773 (0.752-0.835), respectively. (4) Conclusions: Lymphocyte subsets including CD3 (+) T cell, CD3 (+) CD8 (+) T cell, CD3 (+) CD16 (+) CD56 (+) NK T cell, and CD19 (+) B cell were related to the clinical outcomes of patients with gastric cancer who underwent surgery. Additionally, PNI combined with CD19 (+) B cell had higher prognostic value and could be used to identify patients with a high risk of metastasis and recurrence after surgery.
Collapse
Affiliation(s)
- Hao Sun
- Harbin Medical University Cancer Hospital, Harbin Medical University, 150 Haping Road, Nangang District, Harbin 150081, China
| | - Huibo Wang
- Harbin Medical University Cancer Hospital, Harbin Medical University, 150 Haping Road, Nangang District, Harbin 150081, China
| | - Hongming Pan
- Harbin Medical University Cancer Hospital, Harbin Medical University, 150 Haping Road, Nangang District, Harbin 150081, China
| | - Yanjiao Zuo
- Harbin Medical University Cancer Hospital, Harbin Medical University, 150 Haping Road, Nangang District, Harbin 150081, China
| | - Ruihu Zhao
- Harbin Medical University Cancer Hospital, Harbin Medical University, 150 Haping Road, Nangang District, Harbin 150081, China
| | - Rong Huang
- Harbin Medical University Cancer Hospital, Harbin Medical University, 150 Haping Road, Nangang District, Harbin 150081, China
| | - Yingwei Xue
- Harbin Medical University Cancer Hospital, Harbin Medical University, 150 Haping Road, Nangang District, Harbin 150081, China
| | - Hongjiang Song
- Harbin Medical University Cancer Hospital, Harbin Medical University, 150 Haping Road, Nangang District, Harbin 150081, China
| |
Collapse
|
16
|
Fan R, Chen Y, Xu G, Pan W, Lv Y, Zhang Z. Combined systemic immune-inflammatory index and prognostic nutritional index predict outcomes in advanced non-small cell lung cancer patients receiving platinum-doublet chemotherapy. Front Oncol 2023; 13:996312. [PMID: 37077828 PMCID: PMC10106714 DOI: 10.3389/fonc.2023.996312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Accepted: 03/15/2023] [Indexed: 04/05/2023] Open
Abstract
BackgroundSystemic immune-inflammatory index (SII) and prognostic nutritional index (PNI) could evaluate the therapeutic efficacy and prognosis in different tumors. However, no studies investigated the SII-PNI score to predict outcomes in non-small cell lung cancer (NSCLC) patients treated with platinum-doublet chemotherapy. The aim of this study was to investigate the SII-PNI score in predicting outcomes in non-small cell lung cancer (NSCLC) patients treated with platinum-doublet chemotherapy.Materials and methodsOur study retrospectively analyzed clinical data from 124 patients with advanced NSCLC receiving platinum-doublet chemotherapy. The SII and PNI were calculated based on peripheral blood cell counts and serum albumin, and the optimal cut-off values were determined using receiver operating characteristic (ROC). All patients were divided into three groups according to the SII-PNI score. The association between the SII-PNI score and the clinicopathological characteristics of the patients was examined. The Kaplan-Meier and Cox regression models were used to assess progression-free survival (PFS)and overall survival (OS).ResultsThere was no significant correlation between SII, PNI at baseline and chemotherapy response in patients with advanced NSCLC (p>0.05). However, after receiving 4 cycles of platinum-doublet chemotherapy, the SII of the SD group (p=0.0369) and PD group (p=0.0286) was significantly higher than that of the PR group. At the same time, the PNI of the SD group (p=0.0112) and the PD group (p=0.0007) was significantly lower than that of the PR group. The PFS of patients with SII-PNI scores of 0, 1, and 2 were 12.0, 7.0, and 5.0 months, and the OS of patients with SII-PNI scores of 0, 1, and 2 were 34.0, 17.0, and 10.5 months, respectively. There was statistical significance among the three groups (all p <0.001). Multivariate analyses showed that the chemotherapy response of progressive disease (PD) (HR, 3.508; 95% CI, 1.546-7.960; p=0.003) and SII-PNI score of 2 (HR, 4.732; 95% CI, 2.561-8.743; p < 0.001) were independently associated with a shorter OS. The uses of targeted drugs (HR, 0.543; 95% CI, 0.329-0.898; p=0.017) and immune checkpoint inhibitors (HR, 0.218; 95% CI, 0.081-0.584; p=0.002) were protective factors for OS in patients with NSCLC.ConclusionCompared with baseline parameters, the correlation between SII, PNI after 4 cycles of chemotherapy and the chemotherapy effect was more significant. The SII-PNI score after 4 cycles of chemotherapy is an effective prognostic biomarker for advanced NSCLC patients treated with platinum-doublet chemotherapy. Patients with a higher SII-PNI score had a worse prognosis.
Collapse
|
17
|
Ding P, Wu J, Wu H, Sun C, Guo H, Lowe S, Yang P, Tian Y, Liu Y, Meng L, Zhao Q. Inflammation and nutritional status indicators as prognostic indicators for patients with locally advanced gastrointestinal stromal tumors treated with neoadjuvant imatinib. BMC Gastroenterol 2023; 23:23. [PMID: 36690935 PMCID: PMC9869595 DOI: 10.1186/s12876-023-02658-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Accepted: 01/18/2023] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND Previous studies have confirmed that preoperative nutritional-inflammatory indicators can predict prognosis in various malignancies. However, to the best of our knowledge, no study has investigated the assessment of systemic inflammatory immunity index (SII) combined with prognostic nutritional index (PNI) scores to predict prognosis after neoadjuvant treatment with imatinib in locally advanced gastrointestinal stromal tumours (LA-GIST). The aim of this study was to evaluate the predictive value of pretreatment SII-PNI scores in predicting recurrence after neoadjuvant therapy with imatinib in patients with LA-GIST. METHODS We retrospectively analyzed 57 patients with LA-GIST who received imatinib neoadjuvant from January 2013 to March 2019. Patients were divided into recurrence and non-recurrence groups according to their follow-up status, and SII and PNI cut-offs were calculated by receiver operating characteristic. The SII-PNI score ranged from 0 to 2 and were categorized into the following: score of 2, high SII (≥ 544.6) and low PNI (≤ 47.2); score of 1, either high SII (≥ 544.6) or low PNI (≤ 47.2); score of 0, no high SII (≥ 544.6) nor low PNI (≤ 47.2). RESULTS All patients received imatinib neoadjuvant therapy for a median treatment period of 8.5 months (ranging from 3.2 to 12.6 months), with 8 patients (14.04%) and 49 patients (85.96%) developing recurrence and non-recurrence, respectively. Patients with a high SII-PNI score had a significantly worse recurrence-free survival time than those with a low SII-PNI score (P = 0.022, 0.046), and had a poorer pathological response (P = 0.014). Multivariate analysis demonstrated that the SII-PNI score was an independent prognostic factor for prediction of recurrence-free survival (P = 0.002). CONCLUSION The pre-treatment SII-PNI score can be used to predict the efficacy after neoadjuvant treatment with imatinib in patients with LA-GIST, which may be a promising predictor of recurrence-free survival time for patients.
Collapse
Affiliation(s)
- Ping’an Ding
- grid.452582.cThe Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011 Hebei China ,Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011 China
| | - Jiaxiang Wu
- grid.452582.cThe Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011 Hebei China ,Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011 China
| | - Haotian Wu
- grid.452582.cThe Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011 Hebei China ,Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011 China
| | - Chenyu Sun
- grid.488798.20000 0004 7535 783XAMITA Health Saint Joseph Hospital Chicago, 2900 N. Lake Shore Drive, Chicago, IL 60657 USA
| | - Honghai Guo
- grid.452582.cThe Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011 Hebei China ,Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011 China
| | - Scott Lowe
- grid.258405.e0000 0004 0539 5056College of Osteopathic Medicine, Kansas City University, 1750 Independence Ave, Kansas City, MO 64106 USA
| | - Peigang Yang
- grid.452582.cThe Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011 Hebei China ,Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011 China
| | - Yuan Tian
- grid.452582.cThe Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011 Hebei China ,Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011 China
| | - Yang Liu
- grid.452582.cThe Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011 Hebei China ,Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011 China
| | - Lingjiao Meng
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011 China ,grid.452582.cResearch Center of the Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011 China
| | - Qun Zhao
- grid.452582.cThe Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011 Hebei China ,Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011 China
| |
Collapse
|
18
|
Han QY, Zhang X, Zhang JG, Zhou WJ, Chen QY, Chen YY, Yan WH, Lin A. Pre-operative neutrophil-to-lymphocyte ratio is an independent prognostic factor in patients with gastric cancer. Int Immunopharmacol 2022; 113:109371. [DOI: 10.1016/j.intimp.2022.109371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 10/01/2022] [Accepted: 10/15/2022] [Indexed: 11/05/2022]
|
19
|
Ding P, Lv J, Sun C, Chen S, Yang P, Tian Y, Zhou Q, Guo H, Liu Y, Zhao Q. Combined systemic inflammatory immunity index and prognostic nutritional index scores as a screening marker for sarcopenia in patients with locally advanced gastric cancer. Front Nutr 2022; 9:981533. [PMID: 36046129 PMCID: PMC9421237 DOI: 10.3389/fnut.2022.981533] [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: 06/29/2022] [Accepted: 07/27/2022] [Indexed: 12/24/2022] Open
Abstract
Background Sarcopenia is associated with poor clinical outcomes in patients with locally advanced gastric cancer (LAGC). Currently, the diagnostic criteria for sarcopenia are complex and laborious. Increased evidence suggests the inflammatory state of the body is closely associated with the development of sarcopenia. The systemic immune-inflammatory index (SII) and the prognostic nutritional index (PNI) are representative blood indicators of the status of the systemic inflammatory response, but the clinical significance of the combined testing of these two indicators remains unclear. We aimed to develop a simple and practical risk score (SII-PNI score) to screen patients with LAGC for sarcopenia on admission for early diagnosis. Methods We registered a prospective clinical study from January 2011 to May 2016 involving 134 patients with LAGC undergoing radical surgical resection. All patients followed the definition of sarcopenia in the Asian Working Group on Sarcopenia (AWGS) guidelines and were divided into sarcopenia and non-sarcopenia groups. SII-PNI score 0-2 was scored as 2 for high SII (≥432.9) and low PNI ( ≤ 49.5); score 1, either high SII or low PNI; score 0, no high SII or low PNI. Results All patients underwent radical surgery, including 31 patients (23.13%) with sarcopenia according to AWGS criteria. The SII-PNI score was significantly lower in the non-sarcopenic patients than in the sarcopenic patients (p < 0.001). Logistic multivariate analysis showed that the SII-PNI score predicted an independent prognostic factor for sarcopenia (p < 0.001). Patients with high SII-PNI scores had significantly worse prognosis than those with low SII-PNI scores (p < 0.001). The SII-PNI score was an independent prognostic factor for predicting overall survival and disease-free survival (p = 0.016, 0.023). Conclusion Peripheral blood parameters SII-PNI scores accurately identify sarcopenia in patients with LAGC and could be used as potential systemic markers.
Collapse
Affiliation(s)
- Ping'an Ding
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.,Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, China
| | - Jingxia Lv
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Chenyu Sun
- AMITA Health Saint Joseph Hospital Chicago, Chicago, IL, United States
| | - Shuya Chen
- Newham University Hospital, London, United Kingdom
| | - Peigang Yang
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.,Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, China
| | - Yuan Tian
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.,Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, China
| | - Qin Zhou
- Radiation Oncology, Mayo Clinic, Rochester, MN, United States
| | - Honghai Guo
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.,Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, China
| | - Yang Liu
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.,Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, China
| | - Qun Zhao
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.,Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, China
| |
Collapse
|
20
|
Inflammatory Indexes as Prognostic Factors of Survival in Geriatric Patients with Hepatocellular Carcinoma: A Case Control Study of Eight Slovak Centers. J Clin Med 2022; 11:jcm11144183. [PMID: 35887947 PMCID: PMC9318669 DOI: 10.3390/jcm11144183] [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: 06/03/2022] [Revised: 07/08/2022] [Accepted: 07/14/2022] [Indexed: 02/04/2023] Open
Abstract
Background and Aims: Hepatocellular cancer (HCC) often occurs in geriatric patients. The aim of our study was to compare overall survival and progression-free survival between geriatric patients (>75 years) and patients younger than 75 years and to identify predictive factors of survival in geriatric patients with HCC. Material and Methods: We performed a retrospective analysis of patients with HCC diagnosed in Slovakia between 2010−2016. Cases (HCC patients ≥75 years) were matched to controls (HCC patients <74 years) based on the propensity score (gender, BCLC stage and the first-line treatment). Results: We included 148 patients (84 men, 57%) with HCC. There were no differences between cases and controls in the baseline characteristics. The overall survival in geriatric patients with HCC was comparable to younger controls (p = 0.42). The one-, two-, and three-year overall survival was 42% and 31%, 19% and 12%, and 12% and 9% in geriatric patients and controls, respectively (p = 0.2, 0.4, 0.8). Similarly, there was no difference in the one- and two-year progression-free survival: 28% and 18% vs. 10% and 7% in geriatric HCC patients and controls, respectively (p = 0.2, 1, -). There was no case−control difference between geriatric HCC patients and younger HCC controls in the overall survival in the subpopulation of patients with no known comorbidities (p = 0.5), one and two comorbidities (p = 0.49), and three or more comorbidities (p = 0.39). Log (CRP), log (NLR), log (PLR), and log (SII) were all associated with the three-year survival in geriatric HCC patients in simple logistic regression analyses. However, this time, only log (NLR) remained associated even after controlling for the age and BCLC confounding (OR 5.32, 95% CI 1.43−28.85). Conclusions. We found no differences in overall survival and progression-free survival between older and younger HCC patients. Parameters of subclinical inflammation predict prognosis in geriatric patients with HCC. A limitation of the study is small number of the treated patients; therefore, further investigation is warranted.
Collapse
|
21
|
Combined systemic immune-inflammatory index (SII) and prognostic nutritional index (PNI) predicts chemotherapy response and prognosis in locally advanced gastric cancer patients receiving neoadjuvant chemotherapy with PD-1 antibody sintilimab and XELOX: a prospective study. BMC Gastroenterol 2022; 22:121. [PMID: 35287591 PMCID: PMC8919583 DOI: 10.1186/s12876-022-02199-9] [Citation(s) in RCA: 42] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Accepted: 03/03/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Previous studies have confirmed that systemic immune-inflammatory index (SII) and prognostic nutritional index (PNI) can predict the prognosis and chemotherapy efficacy of various malignant tumors. However, to the best of our knowledge, no study investigated the SII combined with PNI score to predict the efficacy of anti-programmed death 1 (anti-PD-1) antibody sintilimab and XELOX regimen (capecitabine plus oxaliplatin) in the treatment of locally advanced gastric cancer. This study aims to evaluate the predictive value of pre-treatment SII-PNI score on the sensitivity of sintilimab immunotherapy combined with XELOX chemotherapy in patients with locally advanced gastric cancer. METHODS We registered a prospective clinical study involving 30 locally advanced gastric cancer patients from March 2020 to July 2021. The pre-treatment SII and PNI were calculated from peripheral blood samples, and the cut-off value was calculated by receiver operating characteristic. The SII-PNI score ranged from 0 to 2 and were categorized into the following: score of 2, high SII (≥ 568.5) and low PNI (≤ 52.7); score of 1, either high SII or low PNI; score of 0, no high SII nor low PNI. RESULTS All patients were evaluated by RECIST1.1 criteria after four cycles of sintilimab immunotherapy combined with XELOX chemotherapy, including 5 patients with TRG 3 and 25 patients with non-TRG 3. The SII-PNI score of non-TRG 3 patients was significantly lower than that of TRG 3 patients (P = 0.017). The medial progression free survival of patients with low SII-PNI score was significantly better than that of patients with high SII-PNI score (P < 0.001). Multivariate analysis showed that SII-PNI score was an independent prognostic factor for predicting progression-free survival (P = 0.003). CONCLUSION The pre-treatment SII-PNI score is a significant indicator for predicting chemosensitivity of locally advanced patients after sintilimab immunotherapy combined with XELOX chemotherapy, which can help to identify high-risk groups and predict prognosis. TRIAL REGISTRATION The registered name of the trial is "Prospective clinical study of sintilimab combined with chemotherapy for neoadjuvant therapy in locally advanced gastric cancer". Its Current Controlled Trials number is ChiCTR2000030414. Its date of registration is 01/03/2020.
Collapse
|