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Khouri J, Dima D, Li H, Hansen D, Sidana S, Shune L, Anwer F, Sborov D, Wagner C, Kocoglu MH, Atrash S, Voorhees P, Peres L, Hovanky V, Simmons G, Williams L, Raza S, Afrough A, Anderson LD, Ferreri C, Hashmi H, Davis J, McGuirk J, Goldsmith S, Borogovac A, Lin Y, Midha S, Nadeem O, Locke FL, Baz R, Hamilton B, Alsina M, Sauter C, Patel K, Kaur G. Absolute Lymphocyte Count and Outcomes of Multiple Myeloma Patients Treated with Idecabtagene Vicleucel: The US Myeloma Immunotherapy Consortium Real- World Experience. Transplant Cell Ther 2024; 30:790.e1-790.e16. [PMID: 38834151 DOI: 10.1016/j.jtct.2024.05.025] [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: 01/25/2024] [Revised: 04/14/2024] [Accepted: 05/29/2024] [Indexed: 06/06/2024]
Abstract
Idecabtagene vicleucel (ide-cel) has shown impressive efficacy in relapsed/refractory multiple myeloma (RRMM). This study aimed to investigate the impact of absolute lymphocyte count (ALC) on the survival outcomes of RRMM patients treated with standard of care (SOC) ide-cel. Data were collected retrospectively from 11 institutions in the U.S. Impact of ALC parameters including pre-apheresis (pre-A), pre-lymphodepletion (pre-LD), absolute and percent difference from pre-A to pre-LD on clinical outcomes after ide-cel were examined using survival analysis. A new ALC profile was created based on univariate analysis that comprises 3 groups: normal (≥1 × 109/L) pre-LD ALC (LDN), low (<1 × 109/L) pre-LD ALC (LDL) + percent reduction <37.5 (%RL), and LDL ALC + percent reduction ≥37.5 (%RH). A total of 214 SOC ide-cel recipients were included in this analysis. The median patient age was 64 years (interquartile range [IQR], 57 to 69 years), median number of prior therapies was 6 (IQR, 5 to 9), and median duration of follow-up was 5.4 months (IQR, 2.1 to 8.3 months). Most patients had both low pre-A ALC (75.3%) and pre-LD ALC (77.2%), and the reduction from pre-A to pre-LD (median, .65 to .55 × 109/L) was statistically significant. Univariate analysis showed that the LDL + %RH group had significantly worse progression-free survival (PFS) and overall survival (OS) compared to the LDL + %RL and LDN ALC groups (6-month PFS: 40% versus 67.6% and 60.9%; 6-month OS: 69.5% versus 87% and 94.3%). In multivariable analysis, after adjusting for age, performance status, cytogenetic risk, use of bridging therapy, and extramedullary disease, PFS did not maintain its statistical significance; however, OS remained significantly worse for LDL + %RH group compared to the LDN ALC group (hazard ratio [HR], 4.3; 95% confidence interval [CI], 1.1 to 17), but the difference between the LDL + %RH versus %RL groups was not statistically significant (HR, 1.7; 95% CI, .8 to 4.0). Our findings indicate that low pre-LD ALC with high %R from pre-A to pre-LD was associated with inferior survival outcomes, particularly OS, in patients who received SOC ide-cel.
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Affiliation(s)
- Jack Khouri
- Cleveland Clinic Taussig Cancer Center, Cleveland, Ohio
| | - Danai Dima
- Cleveland Clinic Taussig Cancer Center, Cleveland, Ohio.
| | - Hong Li
- Cleveland Clinic Taussig Cancer Center, Cleveland, Ohio
| | - Doris Hansen
- H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Surbhi Sidana
- Stanford University School of Medicine, Stanford, California
| | - Leyla Shune
- University of Kansas Medical Center, Kansas City, Kansas
| | - Faiz Anwer
- Cleveland Clinic Taussig Cancer Center, Cleveland, Ohio
| | - Douglas Sborov
- University of Utah Huntsman Cancer Institute, Salt Lake City, Utah
| | - Charlotte Wagner
- University of Utah Huntsman Cancer Institute, Salt Lake City, Utah
| | - Mehmet H Kocoglu
- University of Maryland Marlene and Stewart Greenebaum Comprehensive Cancer Center, Baltimore, Maryland
| | | | | | - Lauren Peres
- H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Vanna Hovanky
- Stanford University School of Medicine, Stanford, California
| | - Gary Simmons
- Virginia Commonwealth University Massey Cancer Center, Richmond, Virginia
| | | | - Shahzad Raza
- Cleveland Clinic Taussig Cancer Center, Cleveland, Ohio
| | - Aimaz Afrough
- UT Southwestern Harold C. Simmons Comprehensive Cancer Center, Dallas, Texas
| | - Larry D Anderson
- UT Southwestern Harold C. Simmons Comprehensive Cancer Center, Dallas, Texas
| | | | - Hamza Hashmi
- Medical University of South Carolina, Charleston, South Carolina
| | - James Davis
- Medical University of South Carolina, Charleston, South Carolina
| | - Joseph McGuirk
- University of Kansas Medical Center, Kansas City, Kansas
| | | | | | - Yi Lin
- Mayo Clinic Cancer Center, Rochester, Minnesota
| | | | - Omar Nadeem
- Dana-Farber Cancer Institute, Boston, Massachusetts
| | | | - Rachid Baz
- H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | | | - Melissa Alsina
- H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida
| | - Craig Sauter
- Cleveland Clinic Taussig Cancer Center, Cleveland, Ohio
| | - Krina Patel
- The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Gurbakhash Kaur
- UT Southwestern Harold C. Simmons Comprehensive Cancer Center, Dallas, Texas
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Huo Z, Chen F, Zhao J, Liu P, Chao Z, Liu K, Zhou J, Zhou D, Zhang L, Zhen H, Yang W, Tan Z, Zhu K, Luo Z. Prognostic impact of absolute peripheral blood NK cell count after four cycles of R-CHOP-like regimen treatment in patients with diffuse large B cell lymphoma. Clin Exp Med 2023; 23:4665-4672. [PMID: 37938466 PMCID: PMC10725372 DOI: 10.1007/s10238-023-01249-0] [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: 09/06/2023] [Accepted: 10/27/2023] [Indexed: 11/09/2023]
Abstract
As a subtype of lymphocyte, natural killer (NK) cell is the first line of defense that shows a strong function in tumor immunotherapy response and clinical outcomes. The current study aims to investigate the prognostic influence of peripheral blood absolute NK cell count after four cycles of rituximab combined with cyclophosphamide, doxorubicin, vincristine and prednisone (R-CHOP) treatment (NKCC4) in diffuse large B cell lymphoma (DLBCL) patients. A total of 261 DLBCL patients treated with R-CHOP from January 2018 to September 2022 were enrolled. The low NKCC4 was observed in patients who died during the study period compared with survival individuals. A NKCC4 < 135 cells/μl had a remarkable negative influence in overall survival and progression-free survival (PFS) compared to a NKCC4 ≥ 135 cells/μl (p < 0.0001 and p < 0.0004, respectively). In addition, the OS and PFS were synergistically lower in a NKCC4 < 135 cells/μl group among DLBCL patients with GCB type or high IPI. In conclusion, this study indicates NCKK4 as a valuable marker in clinical practice and provides an insight for combination treatment of R-CHOP to improve outcomes of DLBCL patients.
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Affiliation(s)
- Zhongjun Huo
- Department of Hematology, Central Hospital of Xiangtan, Xiangtan, 411100, China
| | - Fang Chen
- Department of Hematology, Central Hospital of Xiangtan, Xiangtan, 411100, China
| | - Jiajia Zhao
- Department of Reproductive and Genetic Center, Central Hospital of Xiangtan, Xiangtan, 411100, China
| | - Ping Liu
- Department of Hematology, Central Hospital of Xiangtan, Xiangtan, 411100, China
| | - Zhi Chao
- Department of Hematology, Central Hospital of Xiangtan, Xiangtan, 411100, China
| | - Kang Liu
- Department of Hematology, Central Hospital of Xiangtan, Xiangtan, 411100, China
| | - Ji Zhou
- Department of Hematology, Central Hospital of Xiangtan, Xiangtan, 411100, China
| | - Dan Zhou
- Department of Hematology, Central Hospital of Xiangtan, Xiangtan, 411100, China
| | - Lu Zhang
- Department of Hematology, Central Hospital of Xiangtan, Xiangtan, 411100, China
| | - Haifeng Zhen
- Department of Hematology, Central Hospital of Xiangtan, Xiangtan, 411100, China
| | - Wenqun Yang
- Department of Hematology, Central Hospital of Xiangtan, Xiangtan, 411100, China
| | - Zhenqing Tan
- Department of Hematology, Central Hospital of Xiangtan, Xiangtan, 411100, China
| | - Kaibo Zhu
- Department of Hematology, Central Hospital of Xiangtan, Xiangtan, 411100, China
| | - Zimian Luo
- Department of Hematology, Central Hospital of Xiangtan, Xiangtan, 411100, China.
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Zhi Y, Bao S, Mao J, Chai G, Liu C, Zhu J. Development and validation of a survival nomogram in patients with primary testicular diffuse large B-cell lymphoma. J Int Med Res 2023; 51:3000605231197052. [PMID: 37676929 PMCID: PMC10492492 DOI: 10.1177/03000605231197052] [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: 03/28/2023] [Accepted: 08/08/2023] [Indexed: 09/09/2023] Open
Abstract
OBJECTIVE We developed and validated a nomogram for overall survival (OS) and cancer-specific survival (CSS) prediction in patients with primary testicular diffuse large B-cell lymphoma (PT-DLBCL). METHODS Patients diagnosed with PT-DLBCL were selected from the Surveillance, Epidemiology, and End Results (SEER) database. Independent prognostic factors were analyzed to establish a nomogram of OS and CSS. Patients were reclassified into high- and low-risk groups; survival was compared using Kaplan-Meier curves and log-rank tests. RESULTS We collected 1099 PT-DLBCL cases (2000-2019) from SEER and randomized into training (n = 771) and validation (n = 328) cohorts. In univariate and multivariate Cox regression analyses, five prognostic indicators (age, treatment modality, diagnosis year, Ann Arbor stage, laterality) were used to establish a nomogram of OS and CSS. The nomogram demonstrated excellent discrimination and calibration, with concordance indices in the training and validation cohorts of 0.702 (95% confidence interval [CI], 0.677-0.727) and 0.705 (95% CI 0.67-0.74) for OS and 0.694 (95% CI 0.663-0.725) and 0.680 (95% CI 0.63-0.72) for CSS. The calibration curve and ROC analysis indicated good predictive capability of the nomogram. CONCLUSIONS The constructed prognostic model showed good predictive value for PT-DLBCL to assist clinicians in developing individualized treatment strategies.
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Affiliation(s)
- Yongjin Zhi
- Department of Hematology, Taizhou People’s Hospital affiliated to Nanjing Medical University, Taizhou, Jiangsu Province, China
| | - Shuojing Bao
- Department of General Practice, Zhangdian People’s Hospital, Taizhou, Jiangsu Province, China
| | - Jingcheng Mao
- Department of Hematology, Taizhou People’s Hospital affiliated to Nanjing Medical University, Taizhou, Jiangsu Province, China
| | - Gufan Chai
- Department of Hematology, Taizhou People’s Hospital affiliated to Nanjing Medical University, Taizhou, Jiangsu Province, China
| | - Chengjiang Liu
- Department of General Practice, Anhui Medical University, Heifei, Anhui Province, China
| | - Jianfeng Zhu
- Department of Hematology, Taizhou People’s Hospital affiliated to Nanjing Medical University, Taizhou, Jiangsu Province, China
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Li C, Zhang W, Zhao D, Yang P, Wan W, Liu S, Jing H. Development of a new risk scoring system based on spleen involvement and the lymphocyte/monocyte ratio for follicular lymphoma patients. Leuk Res 2022; 123:106980. [DOI: 10.1016/j.leukres.2022.106980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 10/15/2022] [Accepted: 10/20/2022] [Indexed: 11/07/2022]
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Zhang Y, Chen Q, Lu C, Yu L. Prognostic role of controlling nutritional status score in hematological malignancies. Hematology 2022; 27:653-658. [PMID: 35622088 DOI: 10.1080/16078454.2022.2078040] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
BACKGROUND Controlling nutritional status (CONUT) score, based on three indexes including serum albumin (ALB), total cholesterol (CHO), and absolute lymphocyte count (ALC), has been closely associated with the prognosis of cancer patients. Multiple studies revealed the significance of CONUT score in hematological malignancies, including diffuse large B-cell lymphoma (DLBCL), peripheral T-cell lymphoma (PTCL), multiple myeloma (MM), and leukemia. OBJECTIVE This review aimed to explore the prognostic role of CONUT score in hematological malignancies. METHODS We conducted this review through Pubmed to summarize the published studies on the CONUT score in hematological malignancies, using the terms: Controlling nutritional status, CONUT score, hematological malignancy, lymphoma, multiple myeloma, and leukemia. RESULT CONUT score can reflect not only the nutritional status but also the inflammatory status of patients with hematological malignancies. It can assist in predicting the survival of patients with DLBCL, PTCL, MM, adult T-cell leukemia (ATL), myelodysplastic syndrome (MDS), and acute myeloid leukemia with myelodysplasia related changes (AML-MRC). CONCLUSION CONUT score plays an important role in predicting the prognosis of patients with hematological malignancies.
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Affiliation(s)
- Yijing Zhang
- Department of Hematology, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huaian, People's Republic of China.,Key Laboratory of Hematology, Nanjing Medical University, Nanjing, People's Republic of China
| | - Qiuni Chen
- Department of Hematology, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huaian, People's Republic of China.,Key Laboratory of Hematology, Nanjing Medical University, Nanjing, People's Republic of China
| | - Chuanyang Lu
- Department of Hematology, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huaian, People's Republic of China.,Key Laboratory of Hematology, Nanjing Medical University, Nanjing, People's Republic of China
| | - Liang Yu
- Department of Hematology, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huaian, People's Republic of China.,Key Laboratory of Hematology, Nanjing Medical University, Nanjing, People's Republic of China
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Liu Y, Chen W, Yu M, Li H, Cheng H, Cao J, Yan Z, Shi M, Zhu F, Sun H, Sang W, Li D, Wu Q, Chen C, Zheng J, Xu K, Li Z. Absolute Lymphocyte Count Prior to Lymphodepletion Impacts Outcomes in Multiple Myeloma Patients Treated with Chimeric Antigen Receptor T Cells. Transplant Cell Ther 2021; 28:118.e1-118.e5. [PMID: 34861455 DOI: 10.1016/j.jtct.2021.11.016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 11/18/2021] [Accepted: 11/23/2021] [Indexed: 10/19/2022]
Abstract
Chimeric antigen receptor (CAR) T cell therapy has shown unprecedented response rates in patients with relapsed/refractory (R/R) multiple myeloma (MM). However, the factors associated with immediate response and durable remission have not been fully elucidated. This study aimed to investigate the impact of prelymphodepletion (pre-LD) absolute lymphocyte count (ALC) on the outcomes of CAR T cell therapy and cytokine release syndrome (CRS). A receiver operating characteristic curve was used to determine the optimal cutoff value of pre-LD ALC. The correlation of pre-LD ALC with deep response (defined as very good partial response or better), CRS, and long-term outcomes was analyzed in 85 patients with R/R MM who received CAR T cell treatment. The median pre-LD ALC was 1.0 × 109/L (range, 0.1 to 2.9× 109/L). The optimal cutoff value of pre-LD ALC was 0.75 × 109/L. Twenty-two patients (26%) had a low pre-LD ALC (<0.75 × 109/L), and 63 patients (74%) had a high pre-LD ALC (≥0.75 × 109/L). The deep response rate was significantly higher in patients with a high pre-LD ALC compared with patients with a low pre-LD ALC (76% versus 41%; P = .002). Patients with a low pre-LD ALC had significantly inferior overall survival (OS) and progression-free survival (PFS) compared with those with a high pre-LD ALC (median OS, 15.4 months versus not reached [P < .001]; median PFS, 8.4 months versus 27.3 months [P < .001]). No correlation between pre-LD ALC and CRS was observed. Our data indicate that pre-LD ALC may be a useful indicator to predict the outcomes of CAR T cell therapy in patients with R/R MM. © 2021 American Society for Transplantation and Cellular Therapy. Published by Elsevier Inc.
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Affiliation(s)
- Yang Liu
- Blood Diseases Institute, Xuzhou Medical University, Xuzhou, Jiangsu, China; Department of Hematology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China; Jiangsu Key Laboratory of Bone Marrow Stem Cells, Xuzhou, Jiangsu, China
| | - Wei Chen
- Blood Diseases Institute, Xuzhou Medical University, Xuzhou, Jiangsu, China; Department of Hematology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China; Jiangsu Key Laboratory of Bone Marrow Stem Cells, Xuzhou, Jiangsu, China; Department of Hematology, the First People's Hospital of Suqian, Jiangsu, China
| | - Mingxiao Yu
- Blood Diseases Institute, Xuzhou Medical University, Xuzhou, Jiangsu, China; Jiangsu Key Laboratory of Bone Marrow Stem Cells, Xuzhou, Jiangsu, China
| | - Hujun Li
- Blood Diseases Institute, Xuzhou Medical University, Xuzhou, Jiangsu, China; Department of Hematology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China; Jiangsu Key Laboratory of Bone Marrow Stem Cells, Xuzhou, Jiangsu, China
| | - Hai Cheng
- Blood Diseases Institute, Xuzhou Medical University, Xuzhou, Jiangsu, China; Department of Hematology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China; Jiangsu Key Laboratory of Bone Marrow Stem Cells, Xuzhou, Jiangsu, China
| | - Jiang Cao
- Blood Diseases Institute, Xuzhou Medical University, Xuzhou, Jiangsu, China; Department of Hematology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China; Jiangsu Key Laboratory of Bone Marrow Stem Cells, Xuzhou, Jiangsu, China
| | - Zhiling Yan
- Blood Diseases Institute, Xuzhou Medical University, Xuzhou, Jiangsu, China; Department of Hematology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China; Jiangsu Key Laboratory of Bone Marrow Stem Cells, Xuzhou, Jiangsu, China
| | - Ming Shi
- Cancer Institute, Xuzhou Medical University, Xuzhou, Jiangsu, China; Jiangsu Center for the Collaboration and Innovation of Cancer Biotherapy, Cancer Institute, Xuzhou, Medical University, Xuzhou, Jiangsu, China; Center of Clinical Oncology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Feng Zhu
- Blood Diseases Institute, Xuzhou Medical University, Xuzhou, Jiangsu, China; Department of Hematology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China; Jiangsu Key Laboratory of Bone Marrow Stem Cells, Xuzhou, Jiangsu, China
| | - Haiying Sun
- Blood Diseases Institute, Xuzhou Medical University, Xuzhou, Jiangsu, China; Department of Hematology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China; Jiangsu Key Laboratory of Bone Marrow Stem Cells, Xuzhou, Jiangsu, China
| | - Wei Sang
- Blood Diseases Institute, Xuzhou Medical University, Xuzhou, Jiangsu, China; Department of Hematology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China; Jiangsu Key Laboratory of Bone Marrow Stem Cells, Xuzhou, Jiangsu, China
| | - Depeng Li
- Blood Diseases Institute, Xuzhou Medical University, Xuzhou, Jiangsu, China; Department of Hematology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China; Jiangsu Key Laboratory of Bone Marrow Stem Cells, Xuzhou, Jiangsu, China
| | - Qingyun Wu
- Blood Diseases Institute, Xuzhou Medical University, Xuzhou, Jiangsu, China; Department of Hematology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China; Jiangsu Key Laboratory of Bone Marrow Stem Cells, Xuzhou, Jiangsu, China
| | - Chong Chen
- Blood Diseases Institute, Xuzhou Medical University, Xuzhou, Jiangsu, China; Department of Hematology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China; Jiangsu Key Laboratory of Bone Marrow Stem Cells, Xuzhou, Jiangsu, China
| | - Junnian Zheng
- Cancer Institute, Xuzhou Medical University, Xuzhou, Jiangsu, China; Jiangsu Center for the Collaboration and Innovation of Cancer Biotherapy, Cancer Institute, Xuzhou, Medical University, Xuzhou, Jiangsu, China; Center of Clinical Oncology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Kailin Xu
- Blood Diseases Institute, Xuzhou Medical University, Xuzhou, Jiangsu, China; Department of Hematology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China; Jiangsu Key Laboratory of Bone Marrow Stem Cells, Xuzhou, Jiangsu, China
| | - Zhenyu Li
- Blood Diseases Institute, Xuzhou Medical University, Xuzhou, Jiangsu, China; Department of Hematology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China; Jiangsu Key Laboratory of Bone Marrow Stem Cells, Xuzhou, Jiangsu, China.
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Wu X, Yao Y, Dai Y, Diao P, Zhang Y, Zhang P, Li S, Jiang H, Cheng J. Identification of diagnostic and prognostic signatures derived from preoperative blood parameters for oral squamous cell carcinoma. ANNALS OF TRANSLATIONAL MEDICINE 2021; 9:1220. [PMID: 34532357 PMCID: PMC8421978 DOI: 10.21037/atm-21-631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Accepted: 05/17/2021] [Indexed: 11/06/2022]
Abstract
Background We aimed to develop novel diagnostic and prognostic signatures based on preoperative inflammatory, immunological, and nutritional parameters in blood (PIINPBs) by machine learning algorithms for patients with oral squamous cell carcinoma (OSCC). Methods A total of 486 OSCC patients and 200 age and gender-matched non-OSCC patients who were diagnosed and treated at our institution for noninfectious, nontumor diseases were retrospectively enrolled and divided into training and validation cohorts. Based on PIINPB, 6 machine learning classifiers including random forest, support vector machine, extreme gradient boosting, naive Bayes, neural network, and logistic regression were used to derive diagnostic models, while least absolute shrinkage and selection operator (LASSO) analyses were employed to construct prognostic signatures. A novel prognostic nomogram integrating a PIINPB-derived prognostic signature and selected clinicopathological parameters was further developed. Performances of these signatures were assessed by receiver operating characteristic (ROC) curves, calibrating curves, and decision tree. Results Diagnostic models developed by machine learning algorithms from 13 PIINPBs, which included counts of white blood cells (WBC), neutrophils (N), monocytes (M), lymphocytes (L), platelets (P), albumin (ALB), and hemoglobin (Hb), along with albumin-globulin ratio (A/G), neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), lymphocyte-monocyte ratio (LMR), systemic immune-inflammation index (SII), and prognostic nutritional index (PNI), displayed satisfactory discriminating capabilities in patients with or without OSCC, and among OSCC patients with diverse pathological grades and clinical stages. A prognostic signature based on 6 survival-associated PIINPBs (L, P, PNI, LMR, SII, A/G) served as an independent factor to predict patient survival. Moreover, a novel nomogram integrating prognostic signature and tumor size, pathological grade, cervical node metastasis, and clinical stage significantly enhanced prognostic power [3-year area under the curve (AUC) =0.825; 5-year AUC =0.845]. Conclusions Our results generated novel and robust diagnostic and prognostic signatures derived from PIINPBs by machine learning for OSCC. Performance of these signatures suggest the potential for PIINPBs to supplement current regimens and provide better patient stratification and prognostic prediction.
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Affiliation(s)
- Xiang Wu
- Jiangsu Key Laboratory of Oral Disease, Nanjing Medical University, Nanjing, China.,Department of Oral and Maxillofacial Surgery, Affiliated Stomatological Hospital, Nanjing Medical University, Nanjing, China
| | - Yuan Yao
- Jiangsu Key Laboratory of Oral Disease, Nanjing Medical University, Nanjing, China
| | - Yibin Dai
- Jiangsu Key Laboratory of Oral Disease, Nanjing Medical University, Nanjing, China
| | - Pengfei Diao
- Jiangsu Key Laboratory of Oral Disease, Nanjing Medical University, Nanjing, China
| | - Yuchao Zhang
- Jiangsu Key Laboratory of Oral Disease, Nanjing Medical University, Nanjing, China
| | - Ping Zhang
- Department of Oral and Maxillofacial Surgery, Affiliated Stomatological Hospital, Nanjing Medical University, Nanjing, China
| | - Sheng Li
- Department of Oral and Maxillofacial Surgery, Affiliated Stomatological Hospital, Nanjing Medical University, Nanjing, China
| | - Hongbing Jiang
- Department of Oral and Maxillofacial Surgery, Affiliated Stomatological Hospital, Nanjing Medical University, Nanjing, China
| | - Jie Cheng
- Jiangsu Key Laboratory of Oral Disease, Nanjing Medical University, Nanjing, China.,Department of Oral and Maxillofacial Surgery, Affiliated Stomatological Hospital, Nanjing Medical University, Nanjing, China
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Pollari M, Leivonen SK, Leppä S. Testicular Diffuse Large B-Cell Lymphoma-Clinical, Molecular, and Immunological Features. Cancers (Basel) 2021; 13:cancers13164049. [PMID: 34439203 PMCID: PMC8392512 DOI: 10.3390/cancers13164049] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 08/06/2021] [Accepted: 08/10/2021] [Indexed: 12/16/2022] Open
Abstract
Simple Summary Testicular diffuse large B-cell lymphoma (T-DLBCL) is a rare and aggressive lymphoma entity that mainly affects elderly men. It has a high relapse rate with especially the relapses of the central nervous system associating with dismal outcome. T-DLBCL has a unique biology with distinct genetic characteristics and clinical presentation, and the increasing knowledge on the tumor microenvironment of T-DLBCL highlights the significance of the host immunity and immune escape in this rare lymphoma, presenting in an immune-privileged site of the testis. This review provides an update on the latest progress made in T-DLBCL research and summarizes the clinical perspectives in T-DLBCL. Abstract Primary testicular lymphoma is a rare lymphoma entity, yet it is the most common testicular malignancy among elderly men. The majority of the cases represent non-germinal center B-cell-like (non-GCB) diffuse large B-cell lymphoma (DLBCL) with aggressive clinical behavior and a relatively high relapse rate. Due to the rareness of the disease, no randomized clinical trials have been conducted and the currently recognized standard of care is based on retrospective analyses and few phase II trials. During recent years, the tumor microenvironment (TME) and tumor-related immunity have been the focus of many tumor biology studies, and the emergence of targeted therapies and checkpoint inhibitors has significantly modulated the field of cancer therapies. Testicular DLBCL (T-DLBCL) is presented in an immune-privileged site of the testis, and the roles of NF-κB pathway signaling, 9p24.1 aberrations, and tumor-infiltrating immune cells, especially immune checkpoint expressing lymphocytes and macrophages, seem to be unique compared to other lymphoma entities. Preliminary data on the use of immune checkpoint inhibitors in the treatment of T-DLBCL are promising and more studies are ongoing.
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Affiliation(s)
- Marjukka Pollari
- Research Program Unit, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland; (S.-K.L.); (S.L.)
- Department of Oncology, Tays Cancer Center, Tampere University Hospital, 33521 Tampere, Finland
- Correspondence:
| | - Suvi-Katri Leivonen
- Research Program Unit, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland; (S.-K.L.); (S.L.)
- Department of Oncology, Comprehensive Cancer Center, Helsinki University Hospital, 00029 Helsinki, Finland
| | - Sirpa Leppä
- Research Program Unit, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland; (S.-K.L.); (S.L.)
- Department of Oncology, Comprehensive Cancer Center, Helsinki University Hospital, 00029 Helsinki, Finland
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