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Matsuda S, Hoshino S, Goto T, Kawakubo H, Takeuchi M, Kobayashi R, Nakamura K, Takeuchi H, Nishihara H, Kitagawa Y. Identifying intense inflammatory subtype of esophageal squamous cell carcinoma using clustering approach. Gen Thorac Cardiovasc Surg 2024; 72:417-425. [PMID: 38294659 DOI: 10.1007/s11748-023-02006-6] [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: 10/23/2023] [Accepted: 12/22/2023] [Indexed: 02/01/2024]
Abstract
OBJECTIVE To establish a risk-stratification system for predicting the postoperative recurrence of esophageal squamous cell carcinoma, this study aimed to evaluate the prognostic value of clusters based on blood inflammation and coagulation markers and investigate their correlation with serum cytokines and genetic alteration. METHOD This single-center, retrospective cohort study enrolled 491 patients with esophageal cancer who underwent subtotal esophagectomy between 2004 and 2012. For cluster exploration, nonhierarchical cluster analysis and k-means were applied using serum C-reactive protein, albumin, fibrinogen, and platelet-lymphocyte ratio as variables. Then, multivariate survival analysis was conducted to investigate the association of clusters with recurrence-free survival. To characterize the clusters, serum interleukin-6, interleukin-8, and genetic alteration in primary tumors, the PleSSision-Rapid panel, which can evaluate 160 representative driver genes, was used. RESULTS Patients were classified into clusters 1, 2, and 3, which included 24 (5%), 161 (33%), and 306 (62%) patients, respectively. Compared with cluster 3, cluster 1 or 2 had significantly worse recurrence-free survival. Based on the multivariable analysis using cluster, pStage, and age as covariates, cluster was an independent prognostic factor for recurrence-free survival (hazard ratio, 1.55; 95% confidence interval, 1.08-2.21; P = 0.02). The percentage of serum interleukin-6 and interleukin-8 levels was the highest in cluster 1, followed by clusters 2 and 3. In 23 patients with available genomic profiles, no significant difference in representative genomic alterations was observed. CONCLUSIONS Non-biased clustering using inflammation and coagulation markers identified the intense inflammatory subtype, which had an independent prognostic effect on recurrence-free survival.
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Affiliation(s)
- Satoru Matsuda
- Department of Surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
| | - Shota Hoshino
- Department of Surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Tadahiro Goto
- Department of Clinical Epidemiology and Health Economics, School of Public Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Hirofumi Kawakubo
- Department of Surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Masashi Takeuchi
- Department of Surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Ryota Kobayashi
- Department of Surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Kohei Nakamura
- Genomics Unit, Keio Cancer Center, Keio University School of Medicine, Tokyo, Japan
| | - Hiroya Takeuchi
- Department of Surgery, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Hiroshi Nishihara
- Genomics Unit, Keio Cancer Center, Keio University School of Medicine, Tokyo, Japan
| | - Yuko Kitagawa
- Department of Surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
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Li S, Che J, Gu B, Li Y, Han X, Sun T, Pan K, Lv J, Zhang S, Wang C, Zhang T, Wang J, Xue F. Metabolites, Healthy Lifestyle, and Polygenic Risk Score Associated with Upper Gastrointestinal Cancer: Findings from the UK Biobank Study. J Proteome Res 2024; 23:1679-1688. [PMID: 38546438 DOI: 10.1021/acs.jproteome.3c00827] [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] [Indexed: 05/04/2024]
Abstract
Previous metabolomics studies have highlighted the predictive value of metabolites on upper gastrointestinal (UGI) cancer, while most of them ignored the potential effects of lifestyle and genetic risk on plasma metabolites. This study aimed to evaluate the role of lifestyle and genetic risk in the metabolic mechanism of UGI cancer. Differential metabolites of UGI cancer were identified using partial least-squares discriminant analysis and the Wilcoxon test. Then, we calculated the healthy lifestyle index (HLI) score and polygenic risk score (PRS) and divided them into three groups, respectively. A total of 15 metabolites were identified as UGI-cancer-related differential metabolites. The metabolite model (AUC = 0.699) exhibited superior discrimination ability compared to those of the HLI model (AUC = 0.615) and the PRS model (AUC = 0.593). Moreover, subgroup analysis revealed that the metabolite model showed higher discrimination ability for individuals with unhealthy lifestyles compared to that with healthy individuals (AUC = 0.783 vs 0.684). Furthermore, in the genetic risk subgroup analysis, individuals with a genetic predisposition to UGI cancer exhibited the best discriminative performance in the metabolite model (AUC = 0.770). These findings demonstrated the clinical significance of metabolic biomarkers in UGI cancer discrimination, especially in individuals with unhealthy lifestyles and a high genetic risk.
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Affiliation(s)
- Shuting Li
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
| | - Jiajing Che
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
| | - Bingbing Gu
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
| | - Yunfei Li
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
| | - Xinyue Han
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
| | - Tiantian Sun
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
| | - Keyu Pan
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
| | - Jiali Lv
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
| | - Shuai Zhang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
| | - Cheng Wang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
| | - Tao Zhang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
| | - Jialin Wang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan 250117, China
| | - Fuzhong Xue
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
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Li Z, Huang L, Guo B, Zhang P, Wang J, Wang X, Yao W. The predictive ability of routinely collected laboratory markers for surgically treated spinal metastases: a retrospective single institution study. BMC Cancer 2022; 22:1231. [PMID: 36447178 PMCID: PMC9706860 DOI: 10.1186/s12885-022-10334-8] [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: 07/12/2022] [Accepted: 11/18/2022] [Indexed: 11/30/2022] Open
Abstract
PURPOSE We aimed to identify effective routinely collected laboratory biomarkers for predicting postoperative outcomes in surgically treated spinal metastases and attempted to establish an effective prediction model. METHODS This study included 268 patients with spinal metastases surgically treated at a single institution. We evaluated patient laboratory biomarkers to determine trends to predict survival. The markers included white blood cell (WBC) count, platelet count, neutrophil count, lymphocyte count, hemoglobin, albumin, alkaline phosphatase, creatinine, total bilirubin, calcium, international normalized ratio (INR), platelet-to-lymphocyte ratio (PLR), and neutrophil-to-lymphocyte ratio (NLR). A nomogram based on laboratory markers was established to predict postoperative 90-day and 1-year survival. The discrimination and calibration were validated using concordance index (C-index), area under curves (AUC) from receiver operating characteristic curves, and calibration curves. Another 47 patients were used as a validation group to test the accuracy of the nomogram. The prediction accuracy of the nomogram was compared to Tomita, revised Tokuhashi, modified Bauer, and Skeletal Oncology Research Group machine-learning (SORG ML). RESULTS WBC, lymphocyte count, albumin, and creatinine were shown to be the independent prognostic factors. The four predictive laboratory markers and primary tumor, were incorporated into the nomogram to predict the 90-day and 1-year survival probability. The nomogram performed good with a C-index of 0.706 (0.702-0.710). For predicting 90-day survival, the AUC in the training group and the validation group was 0.740 (0.660-0.819) and 0.795 (0.568-1.000), respectively. For predicting 1-year survival, the AUC in the training group and the validation group was 0.765 (0.709-0.822) and 0.712 (0.547-0.877), respectively. Our nomogram seems to have better predictive accuracy than Tomita, revised Tokuhashi, and modified Bauer, alongside comparable prediction ability to SORG ML. CONCLUSIONS Our study confirmed that routinely collected laboratory markers are closely associated with the prognosis of spinal metastases. A nomogram based on primary tumor, WBC, lymphocyte count, albumin, and creatinine, could accurately predict postoperative survival for patients with spinal metastases.
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Affiliation(s)
- Zhehuang Li
- grid.414008.90000 0004 1799 4638Department of Musculoskeletal Oncology, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, 45000 Henan China
| | - Lingling Huang
- grid.414008.90000 0004 1799 4638Department of Musculoskeletal Oncology, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, 45000 Henan China
| | - Bairu Guo
- grid.414008.90000 0004 1799 4638Department of Musculoskeletal Oncology, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, 45000 Henan China
| | - Peng Zhang
- grid.414008.90000 0004 1799 4638Department of Musculoskeletal Oncology, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, 45000 Henan China
| | - Jiaqiang Wang
- grid.414008.90000 0004 1799 4638Department of Musculoskeletal Oncology, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, 45000 Henan China
| | - Xin Wang
- grid.414008.90000 0004 1799 4638Department of Musculoskeletal Oncology, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, 45000 Henan China
| | - Weitao Yao
- grid.414008.90000 0004 1799 4638Department of Musculoskeletal Oncology, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, 45000 Henan China
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Hoshino S, Matsuda S, Kawakubo H, Yamaguchi S, Nakamura K, Aimono E, Matsui K, Irino T, Fukuda K, Nakamura R, Okita H, Nishihara H, Takeuchi H, Kitagawa Y. ASO Author Reflections: Does Elevation of the Prognostic Factor Plasma Fibrinogen Level Reflect the Tumor Microenvironment at the Primary Site? Ann Surg Oncol 2022; 29:6905-6906. [PMID: 35717519 DOI: 10.1245/s10434-022-12040-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 06/04/2022] [Indexed: 11/18/2022]
Affiliation(s)
- Shota Hoshino
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Satoru Matsuda
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan.
| | - Hirofumi Kawakubo
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Shigeo Yamaguchi
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Kohei Nakamura
- Genomics Unit, Keio Cancer Center, Keio University School of Medicine, Tokyo, Japan
| | - Eriko Aimono
- Genomics Unit, Keio Cancer Center, Keio University School of Medicine, Tokyo, Japan
| | - Kazuaki Matsui
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Tomoyuki Irino
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Kazumasa Fukuda
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Rieko Nakamura
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Hajime Okita
- Division of Diagnostic Pathology, Keio University School of Medicine, Tokyo, Japan
| | - Hiroshi Nishihara
- Genomics Unit, Keio Cancer Center, Keio University School of Medicine, Tokyo, Japan
| | - Hiroya Takeuchi
- Department of Surgery, Hamamatsu University School of Medicine, Shizuoka, Japan
| | - Yuko Kitagawa
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
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Hoshino S, Matsuda S, Kawakubo H, Yamaguchi S, Nakamura K, Aimono E, Matsui K, Irino T, Fukuda K, Nakamura R, Okita H, Nishihara H, Takeuchi H, Kitagawa Y. Elevation of the Prognostic Factor Plasma Fibrinogen Reflects the Immunosuppressive Tumor Microenvironment in Esophageal Squamous Cell Carcinoma. Ann Surg Oncol 2022; 29:6894-6904. [PMID: 35672627 DOI: 10.1245/s10434-022-11974-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 05/18/2022] [Indexed: 11/18/2022]
Abstract
INTRODUCTION Despite previous reports on the clinical significance of plasma fibrinogen (FNG) levels as a prognostic indicator of ESCC, its underlying mechanism remains unclear. This study aimed to validate the prognostic impact of plasma FNG levels and clarify its relationship with primary tumors in patients with esophageal squamous cell carcinoma (ESCC). METHODS The prognostic impact of FNG was evaluated in patients with ESCC who underwent esophagectomy between 2000 and 2019. The RNA sequencing of the primary ESCC site, which was from pre-operative biopsy, was performed, followed by immune profile characterization using an immunogram. Those profiles were assessed via the immunohistochemical staining of tumor-associated macrophages (TAMs) and clinical response to nivolumab. RESULTS Multivariate analysis identified FNG as a significant prognostic factor in ESCC. The immunogram suggested an immunosuppressive tumor environment in the high-FNG group. Immunostaining with the TAM markers CD163 and CD204, revealed that the high-FNG group had significantly higher number of TAMs compared with the low-FNG group. The immunosuppressive characteristics were clinically validated in patients with metastatic ESCC; those who had elevated FNG levels showed poor response to nivolumab. CONCLUSION This study successfully validated the prognostic impact of plasma FNG levels in an expanded cohort with ESCC. Accordingly, our findings showed that increased plasma FNG reflects an immunosuppressive tumor microenvironment that facilitates tumor progression and poor responses to nivolumab.
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Affiliation(s)
- Shota Hoshino
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Satoru Matsuda
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan.
| | - Hirofumi Kawakubo
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Shigeo Yamaguchi
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Kohei Nakamura
- Genomics Unit, Keio Cancer Center, Keio University School of Medicine, Tokyo, Japan
| | - Eriko Aimono
- Genomics Unit, Keio Cancer Center, Keio University School of Medicine, Tokyo, Japan
| | - Kazuaki Matsui
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Tomoyuki Irino
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Kazumasa Fukuda
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Rieko Nakamura
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Hajime Okita
- Division of Diagnostic Pathology, Keio University School of Medicine, Tokyo, Japan
| | - Hiroshi Nishihara
- Genomics Unit, Keio Cancer Center, Keio University School of Medicine, Tokyo, Japan
| | - Hiroya Takeuchi
- Department of Surgery, Hamamatsu University School of Medicine, Shizuoka, Japan
| | - Yuko Kitagawa
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
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Abe T, Oshikiri T, Goto H, Kato T, Horikawa M, Sawada R, Harada H, Urakawa N, Hasegawa H, Kanaji S, Yamashita K, Matsuda T, Nakamura T, Kakeji Y. Albumin and Derived Neutrophil-to-Lymphocyte Ratio is a Novel Prognostic Factor for Patients with Esophageal Squamous Cell Carcinoma. Ann Surg Oncol 2022; 29:6860-6866. [PMID: 35622180 DOI: 10.1245/s10434-022-11868-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 04/20/2022] [Indexed: 12/27/2022]
Abstract
BACKGROUND Multidisciplinary treatment combining neoadjuvant treatment (NAT) and surgery has slightly improved the prognosis of patients with esophageal squamous cell carcinoma (ESCC). Although various biomarkers targeting nutrition and inflammation are associated with cancer prognosis, most studies have focused on conditions prior to NAT. Developing real-time and sensitive biomarkers that monitor changes in systemic conditions during NAT is important. We established a novel nutritional and inflammatory index, represented as the albumin to derived neutrophil-to-lymphocyte ratio (Alb-dNLR), and calculated the change in Alb-dNLR (ΔAlb-dNLR) during neoadjuvant chemotherapy (nCT). In this study, we aimed to evaluate whether ΔAlb-dNLR is associated with prognosis in patients with ESCC. METHODS We investigated 172 patients who underwent nCT before esophagectomy between April 2010 and March 2018. The dNLR was calculated as the ratio of neutrophil count to (white blood cell count - neutrophil count), Alb-dNLR was calculated by dividing the serum albumin level by the dNLR, and ΔAlb-dNLR was evaluated by dividing the post-Alb-dNLR by the pre-Alb-dNLR. Patients were divided into 'high' and 'low' groups according to the ΔAlb-dNLR. RESULTS Thirty-nine patients (22.7%) had a low ΔAlb-dNLR (≤ 0.8), and the 5-year overall survival (OS) rates in patients with low and high ΔAlb-dNLR were 38.1% and 53.6%, respectively (p = 0.0072). Multivariate analyses demonstrated that estimated blood loss (p = 0.044), pathological T stage (p = 0.0005), pathological N stage (p = 0.017), and ΔAlb-dNLR (p = 0.005) were independent prognostic factors for OS. CONCLUSIONS ΔAlb-dNLR is a useful prognostic factor for OS in patients with ESCC receiving nCT.
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Affiliation(s)
- Tomoki Abe
- Division of Gastrointestinal Surgery, Department of Surgery, Graduate School of Medicine, Kobe University, Kobe, Hyogo, Japan
| | - Taro Oshikiri
- Division of Gastrointestinal Surgery, Department of Surgery, Graduate School of Medicine, Kobe University, Kobe, Hyogo, Japan.
| | - Hironobu Goto
- Division of Gastrointestinal Surgery, Department of Surgery, Graduate School of Medicine, Kobe University, Kobe, Hyogo, Japan
| | - Takashi Kato
- Division of Gastrointestinal Surgery, Department of Surgery, Graduate School of Medicine, Kobe University, Kobe, Hyogo, Japan
| | - Manabu Horikawa
- Division of Gastrointestinal Surgery, Department of Surgery, Graduate School of Medicine, Kobe University, Kobe, Hyogo, Japan
| | - Ryuichiro Sawada
- Division of Gastrointestinal Surgery, Department of Surgery, Graduate School of Medicine, Kobe University, Kobe, Hyogo, Japan
| | - Hitoshi Harada
- Division of Gastrointestinal Surgery, Department of Surgery, Graduate School of Medicine, Kobe University, Kobe, Hyogo, Japan
| | - Naoki Urakawa
- Division of Gastrointestinal Surgery, Department of Surgery, Graduate School of Medicine, Kobe University, Kobe, Hyogo, Japan
| | - Hiroshi Hasegawa
- Division of Gastrointestinal Surgery, Department of Surgery, Graduate School of Medicine, Kobe University, Kobe, Hyogo, Japan
| | - Shingo Kanaji
- Division of Gastrointestinal Surgery, Department of Surgery, Graduate School of Medicine, Kobe University, Kobe, Hyogo, Japan
| | - Kimihiro Yamashita
- Division of Gastrointestinal Surgery, Department of Surgery, Graduate School of Medicine, Kobe University, Kobe, Hyogo, Japan
| | - Takeru Matsuda
- Division of Minimally Invasive Surgery, Department of Surgery, Graduate School of Medicine, Kobe University, Kobe, Hyogo, Japan
| | - Tetsu Nakamura
- Division of Gastrointestinal Surgery, Department of Surgery, Graduate School of Medicine, Kobe University, Kobe, Hyogo, Japan
| | - Yoshihiro Kakeji
- Division of Gastrointestinal Surgery, Department of Surgery, Graduate School of Medicine, Kobe University, Kobe, Hyogo, Japan
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Wang S, Feng Y, Xie Y, Zhao X, Ma J, Liu X, Hu C, Hou T. High fibrinogen-albumin ratio index (FARI) predicts poor survival in head and neck squamous cell carcinoma patients treated with surgical resection. Eur Arch Otorhinolaryngol 2022; 279:4541-4548. [DOI: 10.1007/s00405-022-07391-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Accepted: 04/04/2022] [Indexed: 12/24/2022]
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Li S, Zhang G, Lu Y, Zhao T, Gao C, Liu W, Piao Y, Chen Y, Huang C, Chang A, Hao J. Perioperative Serum Scoring Systems Predict Early Recurrence and Poor Prognosis of Resectable Pancreatic Cancer. Front Oncol 2022; 12:841819. [PMID: 35265528 PMCID: PMC8900727 DOI: 10.3389/fonc.2022.841819] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 01/21/2022] [Indexed: 12/19/2022] Open
Abstract
Objective Some patients with pancreatic ductal adenocarcinoma (PDAC) are prone to rapid recurrence or metastasis after radical resection. However, evaluation methods for effectively identifying these patients are lacking. In this study, we established perioperative serum scoring systems to screen patients with early recurrence and poor prognosis. Methods We systematically analysed 44 perioperative serum parameters, including systemic inflammatory parameters, coagulation system parameters, tumor markers, and 18 clinicopathological characteristics of 218 patients with radical resection in our centre. Univariate Cox regression and LASSO regression models were used to screen variables. Kaplan-Meier survival analysis was used to compare relapse-free survival and overall survival. Multivariate Cox regression was used to evaluate the independent risk variables. AUC and C-index were used to reveal the effectiveness of the models. In addition, the effectiveness was also verified in an independent cohort of 109 patients. Results Preoperative systemic immune coagulation cascade (SICC) (including increased neutrophil to lymphocyte ratio, decreased lymphocyte to monocyte ratio, increased platelet and fibrinogen) and increased postoperative tumor markers (TMs) (CA199, CEA and CA242) were independent risk factors for early recurrence of resectable pancreatic cancer. On this basis, we established the preoperative SICC score and postoperative TMs score models. The patients with higher preoperative SICC or postoperative TMs score were more likely to have early relapse and worse prognosis. The nomogram based on preoperative SICC, postoperative TMs, CACI, smoking index, vascular cancer embolus and adjuvant chemotherapy can effectively evaluate the recurrence rate (AUC1 year: 0.763, AUC2 year: 0.679, AUC3 year: 0.657) and overall survival rate (AUC1 year: 0.770, AUC3 year: 0.804, AUC5 year: 0.763). Conclusion Preoperative SICC and postoperative TMs can help identify resectable PDAC patients with early recurrence and poor prognosis.
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Affiliation(s)
- Shengnan Li
- Department of Pancreatic Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
| | - Gengpu Zhang
- Department of Pancreatic Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
| | - Yang Lu
- Department of Pancreatic Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
| | - Tiansuo Zhao
- Department of Pancreatic Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
| | - Chuntao Gao
- Department of Pancreatic Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
| | - Weishuai Liu
- Department of Pancreatic Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
| | - Yongjun Piao
- School of Medicine, Nankai University, Tianjin, China
| | - Yanan Chen
- School of Medicine, Nankai University, Tianjin, China
| | - Chongbiao Huang
- Department of Pancreatic Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
- *Correspondence: Jihui Hao, ; Antao Chang, ; Chongbiao Huang,
| | - Antao Chang
- Department of Pancreatic Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
- *Correspondence: Jihui Hao, ; Antao Chang, ; Chongbiao Huang,
| | - Jihui Hao
- Department of Pancreatic Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin, China
- *Correspondence: Jihui Hao, ; Antao Chang, ; Chongbiao Huang,
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Chen W, Shan B, Zhou S, Yang H, Ye S. Fibrinogen/albumin ratio as a promising predictor of platinum response and survival in ovarian clear cell carcinoma. BMC Cancer 2022; 22:92. [PMID: 35062908 PMCID: PMC8780809 DOI: 10.1186/s12885-022-09204-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2021] [Accepted: 01/17/2022] [Indexed: 02/06/2023] Open
Abstract
Background This study aims to evaluate the role of the fibrinogen/albumin ratio (FAR) in predicting platinum resistance and survival outcomes of patients with ovarian clear cell carcinoma (OCCC). Methods Coagulation function and D-dimer, serum albumin, CA125 and HE4 levels were measured before surgery in OCCC patients undergoing initial surgery in our institution. FAR was calculated as fibrinogen/albumin level. The correlation between these indicators and clinicopathological features, platinum response, and survival outcomes was further analyzed. The Kaplan-Meier method and multivariable Cox regression model were used to assess the effects of FAR on progression-free survival (PFS) and overall survival (OS). Results Advanced stage patients accounted for 42.1% of the 114 participants. Optimal cytoreductive surgery was achieved in 105 patients, and the complete resection rate was 78.1%. FAR was associated with tumor stage, residual tumor and platinum response. A receiver operating characteristic curve for predicting platinum response showed that the optimal cutoff point of the FAR was 12%. The sensitivity was 73.3% and the specificity was 68.2%. In multivariate analysis, FAR ≥12% (HR = 4.963, P = 0.002) was an independent risk factor for platinum resistance. In addition, FAR and D-dimer proved to be independent negative factors for outcomes including both PFS and OS. The median follow-up time was 52 months. A high FAR (≥ 12%) showed a stronger correlation with poor OS and PFS in the subgroup analysis of advanced and completely resected patients. Conclusions The FAR might be a potential preoperative biochemical marker for predicting treatment response and oncological outcomes in OCCC patients.
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Abe T, Oshikiri T, Goto H, Kato T, Horikawa M, Sawada R, Harada H, Urakawa N, Hasegawa H, Kanaji S, Yamashita K, Matsuda T, Kakeji Y. Albumin-Derived NLR Score is a Novel Prognostic Marker for Esophageal Squamous Cell Carcinoma. Ann Surg Oncol 2021; 29:2663-2671. [PMID: 34807322 DOI: 10.1245/s10434-021-11012-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 10/11/2021] [Indexed: 12/18/2022]
Abstract
BACKGROUND Multidisciplinary treatment for esophageal squamous cell carcinoma (ESCC) has improved outcomes, but the prognosis for ESCC remains poor. Nutritional and inflammatory indicators are reported to be associated with cancer prognosis. The combination of albumin and the derived neutrophil-to-lymphocyte ratio (Alb-dNLR) score was established to measure the immune system and nutritional status. The authors hypothesized that the Alb-dNLR score could be a new reliable prognostic factor for ESCC patients. METHODS The study evaluated 269 patients who underwent esophagectomy between April 2010 and March 2018, including 185 patients who received neoadjuvant chemotherapy. The Alb-dNLR score was calculated using serum albumin and the dNLR. The dNLR was calculated as neutrophils to (leukocyte-neutrophil count). The cutoff values of the albumin and dNLR for overall survival (OS) were determined using the receiver operating characteristic curve. Patients were divided into "high" and "low" groups according to the Alb-dNLR score. RESULTS A high Alb-dNLR score was found in 61 cases (22.7%). The 5-year OS was 34% in the high Alb-dNLR group and 66.2% in the low Alb-dNLR group (p < 0.0001). The 5-year cause-specific survival (CSS) was 51.5% in the high Alb-dNLR group and 74.7% in the low Alb-dNLR group (p < 0.0001). Multivariate analyses demonstrated that the Alb-dNLR score was an independent prognostic factor for OS (hazard ratio [HR], 2.198; 95% confidence interval [CI], 1.460-3.263; p = 0.0002) and CSS (HR, 1.733; 95% CI, 1.035-2.835; p = 0.0371). CONCLUSIONS The Alb-dNLR score is an extremely useful, easy-to-use parameter to predict OS and CSS for ESCC patients.
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Affiliation(s)
| | - Taro Oshikiri
- Division of Gastrointestinal Surgery, Department of Surgery, Graduate School of Medicine, Kobe University, Kobe, Japan.
| | - Hironobu Goto
- Division of Gastrointestinal Surgery, Department of Surgery, Graduate School of Medicine, Kobe University, Kobe, Japan
| | - Takashi Kato
- Division of Gastrointestinal Surgery, Department of Surgery, Graduate School of Medicine, Kobe University, Kobe, Japan
| | - Manabu Horikawa
- Division of Gastrointestinal Surgery, Department of Surgery, Graduate School of Medicine, Kobe University, Kobe, Japan
| | - Ryuichiro Sawada
- Division of Gastrointestinal Surgery, Department of Surgery, Graduate School of Medicine, Kobe University, Kobe, Japan
| | - Hitoshi Harada
- Division of Gastrointestinal Surgery, Department of Surgery, Graduate School of Medicine, Kobe University, Kobe, Japan
| | - Naoki Urakawa
- Division of Gastrointestinal Surgery, Department of Surgery, Graduate School of Medicine, Kobe University, Kobe, Japan
| | - Hiroshi Hasegawa
- Division of Gastrointestinal Surgery, Department of Surgery, Graduate School of Medicine, Kobe University, Kobe, Japan
| | | | | | - Takeru Matsuda
- Division of Minimally Invasive Surgery, Department of Surgery, Graduate School of Medicine, Kobe University, Kobe, Japan
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Lymphocyte-to-C-Reactive Protein Ratio as a Novel Marker for Predicting Oncological Outcomes in Patients with Esophageal Cancer. World J Surg 2021; 45:3370-3377. [PMID: 34383091 DOI: 10.1007/s00268-021-06269-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/19/2021] [Indexed: 10/20/2022]
Abstract
BACKGROUND Esophageal cancer has a poor prognosis because of its rapid progression and early and extensive lymph node metastasis. Simple, objective indicators for predicting long-term outcomes are needed to select optimal perioperative treatment and appropriate follow-up for patients with esophageal cancer. The aim of this study is to investigate the relationship between the lymphocyte-to-C-reactive protein ratio (LCR) and the survival of patients with esophageal cancer, by performing time-dependent receiver operating characteristic (ROC) curve analysis. The results were compared to those of traditional inflammation-based markers. METHODS This study enrolled 495 patients who underwent thoracic esophagectomy for esophageal cancer as the primary treatment between 2000 and 2019 in our department. We investigated the predictability of the LCR for oncological outcomes compared to that of other traditional inflammatory markers. RESULTS The 3-year overall survival (OS) and recurrence-free survival (RFS) were 72.6% and 57.5%, respectively. Low LCR was significantly associated with higher cancer stage, included depth of invasion (p < 0.001), lymph node metastasis (p < 0.001) and cStage (p < 0.001). The LCR had the highest AUC value (0.675) for predicting OS compared to the other examined inflammatory markers. In multivariate analysis, the LCR (optimal cutoff threshold = 19,000) was identified as a significant predictor of death (hazard ratio, 2.24; 95% confidence interval [CI], 1.61-3.12; p < 0.001) and recurrence (hazard ratio, 1.97; 95%CI, 1.48-2.63; p < 0.001). CONCLUSION The LCR is novel indicator for oncological outcomes for patients with esophageal cancer and may assist to facilitate personalized multidisciplinary treatments.
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Murakami T, Shoji Y, Nishi T, Chang SC, Jachimowicz RD, Hoshimoto S, Ono S, Shiloh Y, Takeuchi H, Kitagawa Y, Hoon DSB, Bustos MA. Regulation of MRE11A by UBQLN4 leads to cisplatin resistance in patients with esophageal squamous cell carcinoma. Mol Oncol 2021; 15:1069-1087. [PMID: 33605536 PMCID: PMC8024730 DOI: 10.1002/1878-0261.12929] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Revised: 01/20/2021] [Accepted: 02/17/2021] [Indexed: 02/06/2023] Open
Abstract
Resistance to standard cisplatin‐based chemotherapies leads to worse survival outcomes for patients with esophageal squamous cell carcinoma (ESCC). Therefore, there is an urgent need to understand the aberrant mechanisms driving resistance in ESCC tumors. We hypothesized that ubiquilin‐4 (UBQLN4), a protein that targets ubiquitinated proteins to the proteasome, regulates the expression of Meiotic Recombination 11 Homolog A (MRE11A), a critical component of the MRN complex and DNA damage repair pathways. Initially, immunohistochemistry analysis was conducted in specimens from patients with ESCC (n = 120). In endoscopic core ESCC biopsies taken from 61 patients who underwent neoadjuvant chemotherapy (NAC) (5‐fluorouracil and cisplatin), low MRE11A and high UBQLN4 protein levels were associated with reduced pathological response to NAC (P < 0.001 and P < 0.001, respectively). Multivariable analysis of surgically resected ESCC tissues from 59 patients revealed low MRE11A and high UBLQN4 expression as independent factors that can predict shorter overall survival [P = 0.01, hazard ratio (HR) = 5.11, 95% confidence interval (CI), 1.45–18.03; P = 0.02, HR = 3.74, 95% CI, 1.19–11.76, respectively]. Suppression of MRE11A expression was associated with cisplatin resistance in ESCC cell lines. Additionally, MRE11A was found to be ubiquitinated after cisplatin treatment. We observed an amplification of UBQLN4 gene copy numbers and an increase in UBQLN4 protein levels in ESCC tissues. Binding of UBQLN4 to ubiquitinated‐MRE11A increased MRE11A degradation, thereby regulating MRE11A protein levels following DNA damage and promoting cisplatin resistance. In summary, MRE11A and UBQLN4 protein levels can serve as predictors for NAC response and as prognostic markers in ESCC patients.
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Affiliation(s)
- Tomohiro Murakami
- Department of Translational Molecular Medicine, Division of Molecular Oncology, Saint John's Cancer Institute at Providence Saint John's Health Center, Santa Monica, CA, USA.,Department of Surgery, Hamamatsu University School of Medicine, Japan
| | - Yoshiaki Shoji
- Department of Translational Molecular Medicine, Division of Molecular Oncology, Saint John's Cancer Institute at Providence Saint John's Health Center, Santa Monica, CA, USA.,Department of Surgery, Keio University School of Medicine, Shinjuku-ku, Japan
| | - Tomohiko Nishi
- Department of Translational Molecular Medicine, Division of Molecular Oncology, Saint John's Cancer Institute at Providence Saint John's Health Center, Santa Monica, CA, USA.,Department of Surgery, Keio University School of Medicine, Shinjuku-ku, Japan
| | - Shu-Ching Chang
- Medical Data Research Center Providence Health and Services at Providence Saint Joseph's Health, Portland, OR, USA
| | - Ron D Jachimowicz
- Clinic I of Internal Medicine, University Hospital Cologne, Germany.,Max Planck Institute for Biology of Ageing, Cologne, Germany.,Center for Molecular Medicine Cologne, University of Cologne, Germany.,Cologne Excellence Cluster on Cellular Stress Response in Ageing-Associated Diseases, University of Cologne, Germany
| | - Sojun Hoshimoto
- Department of Translational Molecular Medicine, Division of Molecular Oncology, Saint John's Cancer Institute at Providence Saint John's Health Center, Santa Monica, CA, USA.,Department of Surgery, Keio University School of Medicine, Shinjuku-ku, Japan
| | - Shigeshi Ono
- Department of Translational Molecular Medicine, Division of Molecular Oncology, Saint John's Cancer Institute at Providence Saint John's Health Center, Santa Monica, CA, USA.,Department of Surgery, Keio University School of Medicine, Shinjuku-ku, Japan
| | - Yosef Shiloh
- David and Inez Myers Laboratory for Cancer Genetics, Sackler School of Medicine, Tel Aviv University, Israel
| | - Hiroya Takeuchi
- Department of Surgery, Hamamatsu University School of Medicine, Japan
| | - Yuko Kitagawa
- Department of Surgery, Keio University School of Medicine, Shinjuku-ku, Japan
| | - Dave S B Hoon
- Department of Translational Molecular Medicine, Division of Molecular Oncology, Saint John's Cancer Institute at Providence Saint John's Health Center, Santa Monica, CA, USA
| | - Matias A Bustos
- Department of Translational Molecular Medicine, Division of Molecular Oncology, Saint John's Cancer Institute at Providence Saint John's Health Center, Santa Monica, CA, USA
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Matsuda S, Takeuchi H, Kawakubo H, Takemura R, Maeda Y, Hirata Y, Kaburagi T, Egawa T, Nishi T, Ogura M, Miyasho T, Okamura A, Mayanagi S, Fukuda K, Nakamura R, Irino T, Wada N, Kitagawa Y. ASO Author Reflections: Fibrinogen and Albumin Score Validated as a Prognostic Factor to Refine the Treatment Strategy for Esophageal Cancer Patients. Ann Surg Oncol 2020; 27:886-887. [PMID: 32761333 DOI: 10.1245/s10434-020-09008-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Accepted: 07/28/2020] [Indexed: 11/18/2022]
Affiliation(s)
- Satoru Matsuda
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Hiroya Takeuchi
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan. .,Department of Surgery, Hamamatsu University School of Medicine, Shizuoka, Japan.
| | - Hirofumi Kawakubo
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Ryo Takemura
- Biostatistics Unit, Clinical and Translational Research Center, Keio University Hospital, Tokyo, Japan
| | - Yusuke Maeda
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Yuki Hirata
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan.,Department of Surgery, Saiseikai Yokohamashi Tobu Hospital, Yokohama, Japan
| | | | - Tomohisa Egawa
- Department of Surgery, Saiseikai Yokohamashi Tobu Hospital, Yokohama, Japan
| | | | - Masaharu Ogura
- Department of Surgery, Tokyo Medical and Dental University Hospital, Tokyo, Japan
| | - Taku Miyasho
- School of Veterinary Medicine, Rakuno Gakuen University, Ebetsu, Japan
| | - Akihiko Okamura
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Shuhei Mayanagi
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Kazumasa Fukuda
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Rieko Nakamura
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Tomoyuki Irino
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Norihito Wada
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
| | - Yuko Kitagawa
- Department of Surgery, Keio University School of Medicine, Tokyo, Japan
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