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Zhang YY, Liu FH, Wang YL, Liu JX, Wu L, Qin Y, Zheng WR, Xing WY, Xu J, Chen X, Xu HL, Bao Q, Wang JY, Wang R, Chen XY, Wei YF, Zou BJ, Liu JC, Yin JL, Jia MQ, Gao S, Luan M, Wang HH, Gong TT, Wu QJ. Associations between peripheral whole blood cell counts derived indexes and cancer prognosis: An umbrella review of meta-analyses of cohort studies. Crit Rev Oncol Hematol 2024; 204:104525. [PMID: 39370059 DOI: 10.1016/j.critrevonc.2024.104525] [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: 07/22/2024] [Revised: 09/15/2024] [Accepted: 09/24/2024] [Indexed: 10/08/2024] Open
Abstract
Meta-analyses have reported conflicting data on the whole blood cell count (WBCC) derived indexes (neutrophil-to-lymphocyte ratio [NLR], platelet-to-lymphocyte ratio [PLR], and lymphocyte-to-monocyte ratio [LMR]) and cancer prognosis. However, the strength and quality of this evidence has not been quantified in aggregate. To grade the evidence from published meta-analyses of cohort studies that investigated the associations between NLR, PLR, and LMR and cancer prognosis. A total of 694 associations from 224 articles were included. And 219 (97.8%) articles rated as moderate-to-high quality according to AMSTAR. There were four associations supported by convincing evidence. Meanwhile, 165 and 164 associations were supported by highly suggestive and suggestive evidence, respectively. In this umbrella review, we summarized the existing evidence on the WBCC-derived indexes and cancer prognosis. Due to the direction of effect sizes is not completely consistent between studies, further research is needed to assess causality and provide firm evidence.
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Affiliation(s)
- Ying-Ying Zhang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Fang-Hua Liu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ya-Li Wang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Department of Information Center, The Fourth Affiliated Hospital of China Medical University, Shenyang, China
| | - Jia-Xin Liu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Lang Wu
- Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA
| | - Ying Qin
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Wen-Rui Zheng
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Wei-Yi Xing
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Jin Xu
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xing Chen
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - He-Li Xu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Qi Bao
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Jia-Yi Wang
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ran Wang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xi-Yang Chen
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yi-Fan Wei
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Bing-Jie Zou
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Jia-Cheng Liu
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Jia-Li Yin
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ming-Qian Jia
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Song Gao
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Meng Luan
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Hui-Han Wang
- Department of Hematology, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Ting-Ting Gong
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Qi-Jun Wu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China; Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China; NHC Key Laboratory of Advanced Reproductive Medicine and Fertility (China Medical University), National Health Commission, Shenyang, China.
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Yan H, Liu J, Zhang Y, Chen S, Xu J, Gao D, Li H, Fang X, Wang Y, Wang H, Wang H. Efficacy and safety of regorafenib in the treatment of metastatic colorectal cancer: a retrospective cohort study. J Gastrointest Oncol 2024; 15:987-1001. [PMID: 38989408 PMCID: PMC11231874 DOI: 10.21037/jgo-24-180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Accepted: 05/22/2024] [Indexed: 07/12/2024] Open
Abstract
Background The majority of studies of regorafenib now were small-sample and single-arm, which potentially limits the strength of evidence. We conduct the study to identify the efficacy and safety of regorafenib for patients with metastatic colorectal cancer (mCRC) in real-world applications. Methods mCRC patients who underwent regorafenib second line or post-second line treatment with at least one assessable lesion were analyzed. Patients received different doses of regorafenib and different combination regimens. The patients were followed up with laboratory tests and imaging examinations every 3 months to evaluate the efficacy and adverse events (AEs). The primary endpoint of this study was median overall survival (mOS), and the secondary endpoints were median progression-free survival (mPFS), the objective response rate (ORR), the disease control rate (DCR), and AEs. Results A total of 77 patients (45 males and 32 females, aged 58.80±11.65 years) were enrolled in the study. Most primary tumors were located in the rectum (59.74%), and the vast majority of tumors (89.62%) had an adenocarcinoma histological type. The 77 patients had an mOS of 17.8 months, a progression-free survival (PFS) of 4.63 months, an ORR of 6.76%, and a DCR of 55.41%. Patients underwent regorafenib third-line therapy had significantly higher overall survival (OS) than those underwent regorafenib post- third-line treatment (P=0.03). The neutrophil to lymphocyte ratio (NLR) was an independent factor affecting the OS of the mCRC patients [hazard ratio (HR) =1.12, P=0.03]. In both univariate and multivariate analyses, discontinued use of regorafenib after progression reduced patients' PFS (HR =3.07, P<0.001; HR =2.78, P=0.007). In terms of the tolerated dose, patients receiving 120 mg regorafenib had the longest OS numbers, but there was no statistical difference. We analyzed the effect of the baseline NLR on the OS of patients receiving regorafenib combined with immunotherapy, and found that the NLR ratio cut-off value was 4.4, and patients with a NLR ratio ≤4.4 benefited significantly in terms of OS (P=0.03). The AEs included 21 (27.27%) cases of hand and foot skin reaction, 15 (19.48%) cases of fatigue, 9 (11.69%) cases of pain, 9 (11.69%) cases of nausea, 9 (11.69%) cases of fever, 9 (11.69%) cases of cough, and so on. Conclusions Regorafenib is relatively effective and safe as a third-line and posterior treatment of mCRC. Patients underwent regorafenib third-line therapy had longer OS than those underwent regorafenib post- third-line treatment. Moreover, PFS benefits can still be obtained by continuing regorafenib treatment after progression. Grade 1-2 AEs were common, but these were usually tolerated by most patients.
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Affiliation(s)
- Hao Yan
- Department of Oncology, Tianjin Union Medical Center, Tianjin, China
| | - Jindong Liu
- Department of Oncology, Tianjin Union Medical Center, Tianjin, China
| | - Yifan Zhang
- Department of Oncology, Tianjin Union Medical Center, Tianjin, China
| | - Shuo Chen
- Department of Proctology, Tianjin Union Medical Center, Tianjin, China
| | - Jing Xu
- Department of Surgery, Tianjin Union Medical Center, Tianjin, China
| | - Dandan Gao
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Haipeng Li
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Xinyue Fang
- NanKai University School of Medicine, Tianjin, China
| | - Yu Wang
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Huaqing Wang
- Department of Oncology, Tianjin Union Medical Center, Tianjin, China
| | - Hui Wang
- Department of Oncology, Tianjin Union Medical Center, Tianjin, China
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Liu CQ, Yu ZB, Gan JX, Mei TM. Preoperative blood markers and intra-abdominal infection after colorectal cancer resection. World J Gastrointest Surg 2024; 16:451-462. [PMID: 38463368 PMCID: PMC10921215 DOI: 10.4240/wjgs.v16.i2.451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 12/16/2023] [Accepted: 01/23/2024] [Indexed: 02/25/2024] Open
Abstract
BACKGROUND Colorectal cancer (CRC) has one of the highest morbidity and mortality rates among digestive tract tumors. Intra-abdominal infection (IAI) is a common postoperative complication that affects the clinical outcomes of patients with CRC and hinders their rehabilitation process. However, the factors influencing abdominal infection after CRC surgery remain unclear; further, prediction models are rarely used to analyze preoperative laboratory indicators and postoperative complications. AIM To explore the predictive value of preoperative blood markers for IAI after radical resection of CRC. METHODS The data of 80 patients who underwent radical resection of CRC in the Anorectal Surgery Department of Suzhou Hospital affiliated with Anhui Medical University were analyzed. These patients were categorized into IAI (n = 15) and non-IAI groups (n = 65) based on whether IAI occurred. Influencing factors were compared; general data and laboratory indices of both groups were identified. The relationship between the indicators was assessed. Further, a nomogram prediction model was developed and evaluated; its utility and clinical applicability were assessed. RESULTS The risk factors for IAI after radical resection of CRC were neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and carcinoembryonic antigen (CEA) levels. NLR was correlated with PLR and SII (r = 0.604, 0.925, and 0.305, respectively), while PLR was correlated with SII (r = 0.787). The nomogram prediction model demonstrated an area under the curve of 0.968 [95% confidence interval (CI): 0.948-0.988] in the training set (n = 60) and 0.926 (95%CI: 0.906-0.980) in the validation set (n = 20). The average absolute errors of the calibration curves for the training and validation sets were 0.032 and 0.048, respectively, indicating a good model fit. The decision curve analysis curves demonstrated high net income above the 5% threshold, indicating the clinical practicality of the model. CONCLUSION The nomogram model constructed using NLR, PLR, SII, and CEA levels had good accuracy and reliability in predicting IAI after radical resection of CRC, potentially aiding clinical treatment decision-making.
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Affiliation(s)
- Chang-Qing Liu
- Department of Gastrointestinal Anorectal Surgery, Suzhou Hospital Affiliated to Anhui Medical University, Suzhou 234000, Anhui Province, China
| | - Zhong-Bei Yu
- Department of Gastrointestinal Anorectal Surgery, Suzhou Hospital Affiliated to Anhui Medical University, Suzhou 234000, Anhui Province, China
| | - Jin-Xian Gan
- Department of Gastrointestinal Anorectal Surgery, Suzhou Hospital Affiliated to Anhui Medical University, Suzhou 234000, Anhui Province, China
| | - Tian-Ming Mei
- Department of Gastrointestinal Anorectal Surgery, Suzhou Hospital Affiliated to Anhui Medical University, Suzhou 234000, Anhui Province, China
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Zhang W, Zhang Z, Qian L. Prognostic and clinicopathological significance of C-reactive protein in patients with ovarian cancer: a meta-analysis. World J Surg Oncol 2024; 22:8. [PMID: 38172843 PMCID: PMC10763048 DOI: 10.1186/s12957-023-03290-5] [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: 08/21/2023] [Accepted: 12/26/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND Many studies have explored the relationship between C-reactive protein (CRP) levels and survival outcomes in patients with ovarian cancer (OC); however, consistent results have not been reported. As such, this meta-analysis was performed to accurately assess the prognostic and clinicopathological roles of CRP in OC. METHODS The PubMed, Web of Science, Embase, and Cochrane Library databases were systematically searched for relevant studies published from inception to April 7, 2023. The effect of CRP level(s) and OC prognostic outcomes was analyzed by computing the combined hazard ratio (HR) and corresponding 95% confidence interval (CI). Thereafter, the association between CRP level(s) and clinicopathological factors was evaluated using a combined odds ratio (OR) and corresponding 95% CI. RESULTS The present meta-analysis included 15 studies comprising 3202 subjects. According to the combined data, higher CRP levels were markedly associated with unfavorable overall survival (OS) (HR 1.23 [95% CI 1.11-1.37]; p < 0.001) and progression-free survival (PFS) (HR 1.55 [95% CI 1.30-1.84]; p < 0.001) in patients with OC. Furthermore, the results indicated that high CRP levels were significantly correlated with International Federation of Gynecology and Obstetrics (FIGO) stages III-IV (p < 0.001), residual tumor size ≥ 1 cm (p < 0.001), histological grade 3 (p = 0.040), and ascites volume ≥ 500 mL (p < 0.001). CONCLUSION The results of this meta-analysis demonstrated that higher serum CRP levels were strongly associated with dismal OS and PFS in subjects with OC. High CRP levels were also significantly associated with clinical factors implicated in tumor aggressiveness and the development of OC.
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Affiliation(s)
- Wei Zhang
- Clinical Laboratory, Nanxun District Hospital of Traditional Chinese Medicine, Huzhou, Zhejiang, 313009, China
| | - Zongxin Zhang
- Clinical Laboratory, Huzhou Central Hospital, Affiliated Central Hospital of Huzhou University, The Fifth School of Clinical Medicine Zhejiang Chinese Medical University, Huzhou, Zhejiang, 313000, China
| | - Lihong Qian
- Operating Room, Huzhou Central Hospital, Affiliated Central Hospital of Huzhou University, The Fifth School of Clinical Medicine Zhejiang Chinese Medical University, Huzhou, Zhejiang, 313000, China.
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Xie H, Wei L, Liu M, Liang Y, Wang Q, Tang S, Gan J. The cancer inflammation prognostic index is a valuable biomarker for predicting the survival of patients with stage I-III colorectal cancer. Sci Rep 2023; 13:18080. [PMID: 37872322 PMCID: PMC10593829 DOI: 10.1038/s41598-023-45550-0] [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: 05/19/2023] [Accepted: 10/20/2023] [Indexed: 10/25/2023] Open
Abstract
This study aimed to assess the relationship between the Cancer-Inflammation Prognostic Index (CIPI) and disease-free survival (DFS) and overall survival (OS) in patients with stage I-III colorectal cancer (CRC). The relationship between the CIPI and survival was evaluated using restricted cubic splines. Survival curves were established using the Kaplan-Meier method and the log-rank test. Cox proportional hazards models were used to explore independent prognostic factors for CRC. Meaningful variables from the multivariate analysis were used to construct prognostic nomograms. The relationship between the CIPI values on a continuous scale and the risk of DFS/OS mortality was an inverted L-shape. Patients with a high CIPI had significantly lower DFS (53.0% vs. 68.5%, p < 0.001) and OS (55.5% vs. 71.7%, p < 0.001) than those with a low CIPI. The CIPI can also serve as an effective auxiliary tool to further distinguish the prognosis of patients with CRC at the same pathological stage, especially for stages II and III. After multivariate adjustment, a high CIPI was found to be an independent risk factor for DFS (HR 1.443, 95% CI 1.203-1.730, p < 0.001) and OS (HR 1.442, 95% CI 1.189-1.749, p < 0.001) in CRC patients. These nomograms have the advantage of integrating individual profiles, tumour characteristics, and serum inflammatory markers, providing favourable discrimination and calibration values. Compared with traditional TNM staging, nomograms have a better predictive performance. The CIPI is an effective and easy-to-use clinical tool for predicting the recurrence and overall mortality of patients with stage I-III CRC.
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Affiliation(s)
- Hailun Xie
- Department of Colorectal and Anal Surgery, The First Affiliated Hospital, Guangxi Medical University, 6 Shuangyong Road, Nanning, 530021, Guangxi, People's Republic of China
- Department of Pharmacy, The First Affiliated Hospital, Guangxi Medical University, 6 Shuangyong Road, Nanning, 530021, Guangxi, People's Republic of China
| | - Lishuang Wei
- Department of Geriatric Respiratory Disease Ward, The First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi, People's Republic of China
| | - Mingxiang Liu
- Department of Colorectal and Anal Surgery, The First Affiliated Hospital, Guangxi Medical University, 6 Shuangyong Road, Nanning, 530021, Guangxi, People's Republic of China
- Guangxi Key Laboratory of Enhanced Recovery After Surgery for Gastrointestinal Cancer, Nanning, Guangxi, People's Republic of China
| | - Yanren Liang
- Department of Colorectal and Anal Surgery, The First Affiliated Hospital, Guangxi Medical University, 6 Shuangyong Road, Nanning, 530021, Guangxi, People's Republic of China
- Guangxi Key Laboratory of Enhanced Recovery After Surgery for Gastrointestinal Cancer, Nanning, Guangxi, People's Republic of China
| | - Qiwen Wang
- Department of Colorectal and Anal Surgery, The First Affiliated Hospital, Guangxi Medical University, 6 Shuangyong Road, Nanning, 530021, Guangxi, People's Republic of China
- Guangxi Key Laboratory of Enhanced Recovery After Surgery for Gastrointestinal Cancer, Nanning, Guangxi, People's Republic of China
| | - Shuangyi Tang
- Department of Pharmacy, The First Affiliated Hospital, Guangxi Medical University, 6 Shuangyong Road, Nanning, 530021, Guangxi, People's Republic of China.
| | - Jialiang Gan
- Department of Colorectal and Anal Surgery, The First Affiliated Hospital, Guangxi Medical University, 6 Shuangyong Road, Nanning, 530021, Guangxi, People's Republic of China.
- Guangxi Key Laboratory of Enhanced Recovery After Surgery for Gastrointestinal Cancer, Nanning, Guangxi, People's Republic of China.
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Xu H, Cao D, Zhou D, Zhao N, Tang X, Shelat VG, Samant H, Satapathy SK, Tustumi F, Aprile G, He A, Xu X, Ge W. Baseline Albumin-Bilirubin grade as a predictor of response and outcome of regorafenib therapy in patients with hepatocellular carcinoma: a systematic review and meta-analysis. BMC Cancer 2023; 23:1006. [PMID: 37858207 PMCID: PMC10588229 DOI: 10.1186/s12885-023-11488-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 10/06/2023] [Indexed: 10/21/2023] Open
Abstract
BACKGROUND The use of regorafenib in the treatment of hepatocellular carcinoma (HCC) is widespread. Albumin-Bilirubin (ALBI) has been shown to be a potential prognostic marker for regorafenib treatment, but its prognostic value remains controversial. Therefore, we conducted a meta-analysis to investigate the value of the baseline ALBI grade in predicting the efficacy and survival outcomes of HCC patients after regorafenib treatment. METHODS PubMed, Embase, Cochrane library, Web of Science, CNKI, Wan Fang Data, and Vip Database were searched from January 2010 to October 2022. Studies treating HCC patients with regorafenib and with ALBI as a categorical variable, overall survival (OS) and progression-free survival (PFS) as outcome indicators were included. After applying Newcastle-Ottawa Scale (NOS) to evaluate the quality of the included studies, Review Manager 5.4 was used to statistically analyze. Chi-square Q test and I2 statistics were used to detect heterogeneity. Funnel plot asymmetry, Egger's and Begg's test were used to evaluate publication bias. RESULTS A total of 12 studies, comprising 1,918 patients, were included in the meta-analysis. The included studies were all evaluated as high quality. Compared to the high-grade baseline ALBI group, patients in the low-grade group had a longer survival time after receiving regorafenib and also more suitable for regorafenib treatment [odds ratio (OR) = 6.50, 95% confidence interval (CI): 2.22-18.96, P < 0.01]. The low-grade baseline ALBI group before sorafenib treatment was significantly correlated with better OS [hazard ratio (HR) = 2.36, 95% CI: 1.68-3.31, P < 0.00001] and PFS (HR = 1.56, 95% CI: 1.16-2.08, P = 0.003). Likewise, the low-grade baseline ALBI group before regorafenib was also significantly correlated with better OS (HR = 1.56, 95% CI: 1.15-2.13, P = 0.005) and PFS (HR = 2.06, 95% CI: 1.37-3.11, P = 0.0005). In addition, the ALBI grade was significantly correlated with disease control rate (DCR) (OR = 2.90, 95% CI: 1.45-5.79, P = 0.003), but not the objective response rate (OR = 1.98, 95% CI: 0.71-5.46, P = 0.19). CONCLUSIONS The baseline ALBI grade could be a valuable prognostic indicator for predicting response and outcomes in HCC patients treated with regorafenib.
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Affiliation(s)
- Huilin Xu
- Department of Oncology, The Fifth Hospital of Wuhan, #122 Xianzheng Road, Hanyang District, Wuhan, 430000, China.
| | - Dedong Cao
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Dingjie Zhou
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Nan Zhao
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Xixian Tang
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, China
| | | | - Hrishikesh Samant
- Division of Hepatology, Ochsner Multi-Organ Transplant Center, New Orleans, LA, USA
| | - Sanjaya K Satapathy
- Division of Hepatology, Department of Medicine and Northwell Center for Liver Diseases & Transplantation, Northwell Health, Manhasset, NY, USA
| | - Francisco Tustumi
- Department of Gastroenterology, Digestive Surgery Division, University of São Paulo Medical School, Sao Paulo, Brazil
| | - Giuseppe Aprile
- Department of Oncology, San Bortolo General Hospital, Berica, Vicenza, Italy
| | - Anbing He
- Department of Oncology, The Fifth Hospital of Wuhan, #122 Xianzheng Road, Hanyang District, Wuhan, 430000, China
| | - Ximing Xu
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Wei Ge
- Department of Oncology, Taikang Tongji Hospital of Wuhan, Wuhan, China
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Tan L, He Y, Wu L, Liu S, Peng P, Huang J. NIFK as a potential prognostic biomarker in colorectal cancer correlating with immune infiltrates. Medicine (Baltimore) 2023; 102:e35452. [PMID: 37800782 PMCID: PMC10553176 DOI: 10.1097/md.0000000000035452] [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: 05/14/2023] [Accepted: 09/11/2023] [Indexed: 10/07/2023] Open
Abstract
BACKGROUND Immune-related initiation, progress, metastasis and sensitivity to treatment associated with poor prognosis of patients with colorectal cancer (CRC). The role of Nucleolar protein interacting with the FHA domain of MKI67 (NIFK) in CRC remained to be investigated. We explore whether NIFK correlates with tumor immune infiltration and plays an important role in CRC patient prognosis. METHODS The data of samples involved in our study was obtained from TCGA and GEO and samples for protein expression detection and clinical information analysis were obtained from our hospital. NIFK expression, association with patient prognosis, correlation with infiltration of immune cells and its correlated genes involved in signaling pathways were analyzed using bioinformatics method along with experimental validation and clinical correlation analysis. RESULTS Results indicated that the expression of NIFK in tumor tissues was significantly increased compared with normal samples. colon and rectal cancer patients with high NIFK expression have poor survival compared with those with low NIFK expression. Results of cell experiments indicated that NIFK is positively correlated with cell proliferation and migration in CRC. NIFK negatively correlated with T cell CD8+, Tregs, Neutrophil and macrophage significantly. DARS and NKRF were positively correlated with NIFK and DARS correlated with CD8 + T cell, CD4 + T cell, macrophage and Neutrophil, NKRF correlated with CD8 + T cell, CD4 + T cell and macrophage in colon and rectal cancer. NIFK along with its correlated genes as DARS and NKRF were involved in Wnt, PI3K-Akt, NF-κB signaling and Intestinal immune network for lgA production. CONCLUSIONS Our results suggested that NIFK might be a biomarker associated with poor prognosis of CRC patients, and it would be a potential target for CRC therapy.
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Affiliation(s)
- Lin Tan
- Department of Gastroenterology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China
- Department of Gastroenterology, The Affiliated Zhuzhou Hospital Xiangya Medical College CSU, Zhuzhou, China
| | - Yuqi He
- Department of Gastroenterology, The Affiliated Zhuzhou Hospital Xiangya Medical College CSU, Zhuzhou, China
| | - Linhui Wu
- Department of Gastroenterology, The Affiliated Zhuzhou Hospital Xiangya Medical College CSU, Zhuzhou, China
| | - Shiquan Liu
- Department of Gastroenterology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Peng Peng
- Department of Gastroenterology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Jiean Huang
- Department of Gastroenterology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China
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Dai R, Peng C, Sang T, Cheng M, Wang Y, Zhang L. Construction and validation of a predictive model for the risk of peritoneal dialysis-associated peritonitis after peritoneal dialysis catheterization. Front Med (Lausanne) 2023; 10:1193754. [PMID: 37790129 PMCID: PMC10543278 DOI: 10.3389/fmed.2023.1193754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Accepted: 09/01/2023] [Indexed: 10/05/2023] Open
Abstract
Aim To construct and validate a risk prediction model for the development of peritoneal dialysis-associated peritonitis (PDAP) in patients undergoing peritoneal dialysis (PD). Methods This retrospective analysis included patients undergoing PD at the Department of Nephrology, the First Affiliated Hospital of Anhui University of Chinese Medicine, between January 2016 and January 2021. Baseline data were collected. The primary study endpoint was PDAP occurrence. Patients were divided into a training cohort (n = 264) and a validation cohort (n = 112) for model building and validation. Least Absolute Shrinkage and Selection Operator (LASSO) regression was applied to optimize the screening variables. Predictive models were developed using multifactorial logistic regression analysis with column line plots. Receiver operating characteristic (ROC) curves, calibration curves, and Hosmer-Lemeshow goodness-of-fit tests were used to verify and evaluate the discrimination and calibration of the prediction models. Decision curve analysis (DCA) was used to assess the clinical validity of the prediction models. Results Five potential predictors of PDAP after PD catheterization were screened using LASSO regression analysis, including neutrophil-to-lymphocyte ratio (NLR), serum ALBumin (ALB), uric acid (UA), high sensitivity C-reactive protein (hsCRP), and diabetes mellitus (DM). Predictive models were developed by multi-factor logistic regression analysis and plotted in columns. The area under the ROC curve (AUC) values were 0.891 (95% confidence interval [CI]: 0.829-0.844) and 0.882 (95% CI: 0.722-0.957) for the training and validation cohorts, respectively. The Hosmer-Lemeshow test showed a good fit (p = 0.829 for the training cohort; p = 0.602 for the validation cohort). The DCA curves indicated that the threshold probabilities for the training and validation cohorts were 4-64% and 3-90%, respectively, predicting a good net gain for the clinical model. Conclusion NLR, ALB, UA, hsCRP, and DM are independent predictors of PDAP after PD catheterization. The column line graph model constructed based on the abovementioned factors has good discriminatory and calibrating ability and helps to predict the risk of PDAP after PD catheterization.
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Affiliation(s)
- Rong Dai
- Department of Chinese Medicine, Anhui University of Chinese Medicine, Hefei, China
| | - Chuyi Peng
- Graduate School, Anhui University of Chinese Medicine, Hefei, China
| | - Tian Sang
- Graduate School, Anhui University of Chinese Medicine, Hefei, China
| | - Meng Cheng
- Department of Nephrology, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, China
| | - Yiping Wang
- Department of Nephrology, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, China
| | - Lei Zhang
- Department of Nephrology, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, China
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Chen X, Li H, Feng Q. Is neutrophil-to-lymphocyte ratio and C-reactive protein the prognostic role in metastatic colorectal cancer using regorafenib? J Gastrointest Oncol 2023; 14:472-473. [PMID: 36915434 PMCID: PMC10007952 DOI: 10.21037/jgo-22-1128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 01/09/2023] [Indexed: 01/18/2023] Open
Affiliation(s)
- Xinyang Chen
- West China School of Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Hancong Li
- West China School of Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Qingbo Feng
- Department of Liver Surgery and Liver Transplantation Centre, West China Hospital, Sichuan University, Chengdu, China
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Tsukamoto S, Mavrogenis AF, Alvarado RA, Traversari M, Akahane M, Honoki K, Tanaka Y, Donati DM, Errani C. Association between Inflammatory Markers and Local Recurrence in Patients with Giant Cell Tumor of Bone: A Preliminary Result. Curr Oncol 2023; 30:1116-1131. [PMID: 36661734 PMCID: PMC9857827 DOI: 10.3390/curroncol30010085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 01/11/2023] [Indexed: 01/15/2023] Open
Abstract
Giant cell tumor of bone (GCTB) has a high local recurrence rate of approximately 20%. Systemic inflammatory markers, such as neutrophil-lymphocyte ratio (NLR), modified Glasgow prognostic score (mGPS), prognostic nutritional index (PNI), lymphocyte-monocyte ratio (LMR), platelet-lymphocyte ratio (PLR), hemoglobin (Hb), alkaline phosphatase (ALP), and lactate dehydrogenase (LDH), have been reported as prognostic markers in patients with malignant tumors. This study aimed to investigate the correlation between these markers and the local recurrence rate of GCTB. In total, 103 patients with GCTB who underwent surgery at the authors' institutions between 1993 and 2021 were included. Thirty patients experienced local recurrence. Univariate and multivariate analysis showed that tumor site, preoperative and postoperative denosumab treatment, and surgery were significantly associated with local recurrence-free survival. LDH was associated with local recurrence-free survival on univariate analysis only. NLR, mGPS, PNI, LMR, and PLR score did not correlate with the local recurrence rate. In conclusion, NLR, mGPS, PNI, LMR, PLR score, Hb, ALP, and LDH levels are not correlated with the local recurrence rate of GCTB. However, due to the small number of patients included in this study, this result should be re-evaluated in a multicenter study with a larger sample size.
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Affiliation(s)
- Shinji Tsukamoto
- Department of Orthopaedic Surgery, Nara Medical University, 840, Shijo-cho, Kashihara 634-8521, Nara, Japan
| | - Andreas F. Mavrogenis
- First Department of Orthopaedics, National and Kapodistrian University of Athens, School of Medicine,41 Ventouri Street, 15562 Athens, Greece
| | - Rebeca Angulo Alvarado
- Department of Orthopaedic Oncology, IRCCS Istituto Ortopedico Rizzoli, Via Pupilli 1, 40136 Bologna, Italy
| | - Matteo Traversari
- Department of Orthopaedic Oncology, IRCCS Istituto Ortopedico Rizzoli, Via Pupilli 1, 40136 Bologna, Italy
| | - Manabu Akahane
- Department of Health and Welfare Services, National Institute of Public Health, 2-3-6 Minami, Wako-shi 351-0197, Saitama, Japan
| | - Kanya Honoki
- Department of Orthopaedic Surgery, Nara Medical University, 840, Shijo-cho, Kashihara 634-8521, Nara, Japan
| | - Yasuhito Tanaka
- Department of Orthopaedic Surgery, Nara Medical University, 840, Shijo-cho, Kashihara 634-8521, Nara, Japan
| | - Davide Maria Donati
- Department of Orthopaedic Oncology, IRCCS Istituto Ortopedico Rizzoli, Via Pupilli 1, 40136 Bologna, Italy
| | - Costantino Errani
- Department of Orthopaedic Oncology, IRCCS Istituto Ortopedico Rizzoli, Via Pupilli 1, 40136 Bologna, Italy
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