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Fu M, Lin Y, Yang J, Cheng J, Lin L, Wang G, Long C, Xu S, Lu J, Li G, Yan J, Chen G, Zhuo S, Chen D. Multitask machine learning-based tumor-associated collagen signatures predict peritoneal recurrence and disease-free survival in gastric cancer. Gastric Cancer 2024:10.1007/s10120-024-01551-0. [PMID: 39271552 DOI: 10.1007/s10120-024-01551-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2024] [Accepted: 09/02/2024] [Indexed: 09/15/2024]
Abstract
BACKGROUND Accurate prediction of peritoneal recurrence for gastric cancer (GC) is crucial in clinic. The collagen alterations in tumor microenvironment affect the migration and treatment response of cancer cells. Herein, we proposed multitask machine learning-based tumor-associated collagen signatures (TACS), which are composed of quantitative collagen features derived from multiphoton imaging, to simultaneously predict peritoneal recurrence (TACSPR) and disease-free survival (TACSDFS). METHODS Among 713 consecutive patients, with 275 in training cohort, 222 patients in internal validation cohort, and 216 patients in external validation cohort, we developed and validated a multitask machine learning model for simultaneously predicting peritoneal recurrence (TACSPR) and disease-free survival (TACSDFS). The accuracy of the model for prediction of peritoneal recurrence and prognosis as well as its association with adjuvant chemotherapy were evaluated. RESULTS The TACSPR and TACSDFS were independently associated with peritoneal recurrence and disease-free survival in three cohorts, respectively (all P < 0.001). The TACSPR demonstrated a favorable performance for peritoneal recurrence in all three cohorts. In addition, the TACSDFS also showed a satisfactory accuracy for disease-free survival among included patients. For stage II and III diseases, adjuvant chemotherapy improved the survival of patients with low TACSPR and low TACSDFS, or high TACSPR and low TACSDFS, or low TACSPR and high TACSDFS, but had no impact on patients with high TACSPR and high TACSDFS. CONCLUSIONS The multitask machine learning model allows accurate prediction of peritoneal recurrence and survival for GC and could distinguish patients who might benefit from adjuvant chemotherapy.
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Affiliation(s)
- Meiting Fu
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China
- Department of Gastroenterology, Guangdong Provincial Key Laboratory of Gastroenterology, Nanfang Hospital, Guangzhou, 510515, People's Republic of China
- School of Science, Jimei University, Xiamen, 361021, People's Republic of China
| | - Yuyu Lin
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China
| | - Junyao Yang
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China
| | - Jiaxin Cheng
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China
| | - Liyan Lin
- Department of Pathology, Fujian Key Laboratory of Translational Cancer Medicine, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, People's Republic of China
| | - Guangxing Wang
- School of Science, Jimei University, Xiamen, 361021, People's Republic of China
| | - Chenyan Long
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China
| | - Shuoyu Xu
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China
| | - Jianping Lu
- Department of Pathology, Fujian Key Laboratory of Translational Cancer Medicine, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, People's Republic of China
| | - Guoxin Li
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China
| | - Jun Yan
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China
| | - Gang Chen
- Department of Pathology, Fujian Key Laboratory of Translational Cancer Medicine, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, People's Republic of China
| | - Shuangmu Zhuo
- School of Science, Jimei University, Xiamen, 361021, People's Republic of China
- Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Normal University, Fuzhou, 350007, People's Republic of China
| | - Dexin Chen
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China.
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Chen Z, Shi A, Wang Z, Chen Y, Lin Y, Su M, Dong H, Laptseva N, Hu Y, Flammer AJ, Duru F, Jin W, Chen L. Prognostic value of plasma big endothelin-1 in patients with light chain cardiac amyloidosis. Heart 2024; 110:1124-1132. [PMID: 39084705 DOI: 10.1136/heartjnl-2024-324000] [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: 02/08/2024] [Accepted: 07/02/2024] [Indexed: 08/02/2024] Open
Abstract
BACKGROUND Light chain cardiac amyloidosis (AL-CA) is associated with a high incidence of mortality. Big endothelin-1 (ET-1), the precursor of endothelial-vasoconstrictive ET-1, is closely related to the concentration of bioactive ET-1. Association between big ET-1 and prognosis of AL-CA has not yet been documented. The purpose of this study was to evaluate the prognostic value of big ET-1 for poor outcomes in moderate to severe AL-CA. METHODS Big ET-1 levels were determined on admission in patients with newly diagnosed AL-CA with modified Mayo 2004 stage II or III. Primary outcome was all-cause mortality. The secondary outcomes included death from cardiac cause and the composite of the primary outcome or hospitalisations due to worsening heart failure. RESULTS Overall, 141 patients were retrospectively included (57 stage II, 34 stage IIIa, 50 stage IIIb). During a median follow-up time of 25.7 months, 84 (59.6%) patients died. Patients with big ET-1 levels of ≤0.88 pmol/L had longer survival than those with >0.88 pmol/L (median survival time: 34.1 months vs 15.3 months, log-rank p<0.001), which was also observed in the validation cohort (log-rank p=0.026). Higher big ET-1 levels were predictive for all-cause mortality after multivariable adjustment (HR 1.91, 95% CI 1.05 to 3.49, p=0.035). Big ET-1 levels added an incremental prognostic value over modified Mayo 2004 stage (C-index: from 0.671 to 0.696, p=0.025; integrated discrimination improvement 0.168, p=0.047). CONCLUSIONS Big ET-1 is a strong and independent predictor of mortality in patients with moderate to severe AL-CA, which may indicate a possible role for risk stratification in patients with this disease.
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Affiliation(s)
- Zhongli Chen
- State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Anteng Shi
- State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhiyan Wang
- Department of Cardiovascular Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yanjia Chen
- Department of Cardiovascular Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yahui Lin
- Center of Laboratory Medicine, National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Mingming Su
- State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hongbin Dong
- Department of Radiology, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Natallia Laptseva
- Clinic for Cardiology, University Heart Center Zurich, University Hospital Zurich, Zurich, Switzerland
- Amyloidosis Network Zurich, University Hospital Zurich, Zurich, Switzerland
| | - Yuxiao Hu
- State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Andreas J Flammer
- Clinic for Cardiology, University Heart Center Zurich, University Hospital Zurich, Zurich, Switzerland
- Amyloidosis Network Zurich, University Hospital Zurich, Zurich, Switzerland
| | - Firat Duru
- Clinic for Cardiology, University Heart Center Zurich, University Hospital Zurich, Zurich, Switzerland
- Center for Translational and Experimental Cardiology, University of Zurich, Zurich, Switzerland
| | - Wei Jin
- Department of Cardiovascular Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Heart Failure Center, Luwan Branch, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Liang Chen
- State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Clinic for Cardiology, University Heart Center Zurich, University Hospital Zurich, Zurich, Switzerland
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Niu Z, Kozminsky M, Day KC, Broses LJ, Henderson ML, Patsalis C, Tagett R, Qin Z, Blumberg S, Reichert ZR, Merajver SD, Udager AM, Palmbos PL, Nagrath S, Day ML. Characterization of circulating tumor cells in patients with metastatic bladder cancer utilizing functionalized microfluidics. Neoplasia 2024; 57:101036. [PMID: 39173508 PMCID: PMC11387905 DOI: 10.1016/j.neo.2024.101036] [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: 06/07/2024] [Revised: 07/19/2024] [Accepted: 07/28/2024] [Indexed: 08/24/2024]
Abstract
Assessing the molecular profiles of bladder cancer (BC) from patients with locally advanced or metastatic disease provides valuable insights, such as identification of invasive markers, to guide personalized treatment. Currently, most molecular profiling of BC is based on highly invasive biopsy or transurethral tumor resection. Liquid biopsy takes advantage of less-invasive procedures to longitudinally profile disease. Circulating tumor cells (CTCs) isolated from blood are one of the key analytes of liquid biopsy. In this study, we developed a protein and mRNA co-analysis workflow for BC CTCs utilizing the graphene oxide (GO) microfluidic chip. The GO chip was conjugated with antibodies against both EpCAM and EGFR to isolate CTCs from 1 mL of blood drawn from BC patients. Following CTC capture, protein and mRNA were analyzed using immunofluorescent staining and ion-torrent-based whole transcriptome sequencing, respectively. Elevated CTC counts were significantly associated with patient disease status at the time of blood draw. We found a count greater than 2.5 CTCs per mL was associated with shorter overall survival. The invasive markers EGFR, HER2, CD31, and ADAM15 were detected in CTC subpopulations. Whole transcriptome sequencing showed distinct RNA expression profiles from patients with or without tumor burden at the time of blood draw. In patients with advanced metastatic disease, we found significant upregulation of metastasis-related and chemotherapy-resistant genes. This methodology demonstrates the capability of GO chip-based assays to identify tumor-related RNA signatures, highlighting the prognostic potential of CTCs in metastatic BC patients.
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Affiliation(s)
- Zeqi Niu
- Department of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109, USA; Biointerface Institute, University of Michigan, Ann Arbor, MI 48109, USA; Rogel Comprehensive Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA
| | - Molly Kozminsky
- Department of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109, USA; Biointerface Institute, University of Michigan, Ann Arbor, MI 48109, USA; Rogel Comprehensive Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA
| | - Kathleen C Day
- Department of Urology, University of Michigan, Ann Arbor, MI 48109, USA; Rogel Comprehensive Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA
| | - Luke J Broses
- Department of Urology, University of Michigan, Ann Arbor, MI 48109, USA; Rogel Comprehensive Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA
| | - Marian L Henderson
- Department of Internal Medicine, Hematology Oncology Division, University of Michigan, Ann Arbor, MI 48109, USA; Rogel Comprehensive Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA
| | - Christopher Patsalis
- Department of Internal Medicine, Hematology Oncology Division, University of Michigan, Ann Arbor, MI 48109, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA; Rogel Comprehensive Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA
| | - Rebecca Tagett
- Bioinformatics Core, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Zhaoping Qin
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Sarah Blumberg
- Department of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109, USA; Rogel Comprehensive Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA
| | - Zachery R Reichert
- Department of Internal Medicine, Hematology Oncology Division, University of Michigan, Ann Arbor, MI 48109, USA; Rogel Comprehensive Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA
| | - Sofia D Merajver
- Department of Internal Medicine, Hematology Oncology Division, University of Michigan, Ann Arbor, MI 48109, USA; Rogel Comprehensive Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA
| | - Aaron M Udager
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Rogel Comprehensive Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA
| | - Phillip L Palmbos
- Department of Internal Medicine, Hematology Oncology Division, University of Michigan, Ann Arbor, MI 48109, USA; Rogel Comprehensive Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA
| | - Sunitha Nagrath
- Department of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109, USA; Biointerface Institute, University of Michigan, Ann Arbor, MI 48109, USA; Rogel Comprehensive Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA.
| | - Mark L Day
- Department of Urology, University of Michigan, Ann Arbor, MI 48109, USA; Rogel Comprehensive Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA.
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Zhang C, Wang SF, Zhang YL, Teng CX. Peripheral hemoglobin to albumin ratio predicts prognosis in patients with nasopharyngeal carcinoma underwent concurrent chemoradiotherapy. BMC Cancer 2024; 24:1012. [PMID: 39148032 PMCID: PMC11325836 DOI: 10.1186/s12885-024-12763-z] [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: 02/06/2024] [Accepted: 08/05/2024] [Indexed: 08/17/2024] Open
Abstract
BACKGROUND Recently, the hemoglobin to albumin ratio (HAR) has been shown to be closely associated with the survival of certain malignancies. However, its prognostic value in nasopharyngeal carcinoma (NPC) remained to be elucidated. Herein, we aimed to explore the correlation between HAR and overall survival (OS) in NPC patients treated with concurrent chemoradiotherapy (CCRT). METHODS This retrospective study included a total of 858 patients with NPC receiving CCRT between January 2010 and December 2014 in Sun Yat-sen University Cancer Center. We randomly divided them into the training cohort (N = 602) and the validation cohort (N = 206). We performed univariate and multivariate Cox regression analyses to identify variables associated with OS, based on which, a predictive nomogram was constructed and assessed. RESULTS In both the training and validation cohorts, patients were classified into low- and high-HAR groups according to the cutoff value determined by the maximally selected rank statistics. This HAR cutoff value effectively divided patients into two distinct prognostic groups with significant differences. Multivariable Cox analysis revealed that higher T-stage, N-stage, and HAR values were significantly related to poorer prognosis in NPC patients and served as independent prognostic factors for NPC. Based on these, a predictive model was constructed and graphically presented as a nomogram, whose predictive performance is satisfactory with a C-index of 0.744 [95%CI: 0.679-0.809] and superior to traditional TNM staging system [C-index = 0.609, 95%CI: 0.448-0.770]. CONCLUSION The HAR value was an independent predictor for NPC patients treated with CCRT, the predictive model based on HAR with superior predictive performance than traditional TNM staging system might improve individualized survival predictions.
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Affiliation(s)
- Chao Zhang
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, 510060, People's Republic of China
- Department of Breast Oncology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China
| | - Si-Fen Wang
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, 510060, People's Republic of China
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China
| | - Yu-Ling Zhang
- Department of Endocrinology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, 330006, China
| | - Cha-Xiang Teng
- Department of Medical Oncology, Shenzhen Qianhai Taikang Hospital, Shenzhen, 518054, People's Republic of China.
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Duan L, Guo W, Yin S, Yang S, Liu J, Duan Y, Dong G, Li W, Chen F. The Baseline Pan-Immune‑Inflammation Value (PIV) and PILE in Predicting Clinical Outcomes and Therapeutic Response for Primary Central Nervous System Lymphoma. J Inflamm Res 2024; 17:5347-5363. [PMID: 39161678 PMCID: PMC11331148 DOI: 10.2147/jir.s468537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2024] [Accepted: 07/30/2024] [Indexed: 08/21/2024] Open
Abstract
Purpose To investigate the prognostic significance of pan-immune-inflammation value (PIV) and PILE score (based on PIV, lactate dehydrogenase (LDH), and Eastern Cooperative Oncology Group Performance Status (ECOG PS)) in patients with primary central nervous system lymphoma (PCNSL). Patients and Methods A total of 109 patients were enrolled. PIV was calculated as follows: (neutrophil count × platelet count × monocyte count)/lymphocyte count. The PILE score was incorporated based on PIV, LDH levels, and ECOG PS. The Kaplan-Meier curves and Cox hazards regression models were applied for survival analyses. The relationship between PIV, PILE, and therapeutic response was examined. Results Baseline high PIV was significantly associated with worse overall survival (OS) in univariate (HR 3.990, 95% CI 1.778-8.954, p < 0.001) and multivariate (HR 3.047, 95% CI 1.175-7.897, p = 0.022) analyses. High PIV was also associated with worse progression-free survival (PFS) in univariate (HR 2.121, 95% CI 1.075-4.186, p = 0.030) but not significant in multivariate analyses. PIV outperformed other systemic inflammation parameters. The patients in the high PILE group (PILE score 2-3) had worse OS (p = 0.008) and PFS (p < 0.001) compared to the low PILE group (PILE score 0-1). PILE was independently associated with therapeutic response to initial treatment (OR 0.17, 95% CI 0.05-0.46; p < 0.001). Conclusion High PIV and PILE were correlated with worse clinical outcomes in PCNSL patients, indicating that PIV and PILE might be a powerful predictor of prognosis and a potential predictive indicator for therapeutic response in PCNSL.
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Affiliation(s)
- Ling Duan
- Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, People’s Republic of China
| | - Wenhui Guo
- Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, People’s Republic of China
| | - Shuo Yin
- Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, People’s Republic of China
| | - Shoubo Yang
- Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, People’s Republic of China
| | - Jie Liu
- Department of Clinical Diagnosis, Laboratory of Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, People’s Republic of China
| | - Yunyun Duan
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, People’s Republic of China
| | - Gehong Dong
- Department of Pathology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, People’s Republic of China
| | - Wenbin Li
- Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, People’s Republic of China
| | - Feng Chen
- Department of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, People’s Republic of China
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Ruixin S, Yifan L, Yansha S, Min Z, Yiwei D, Xiaoli H, Bizhi S, Hua J, Zonghai L. Dual targeting chimeric antigen receptor cells enhance antitumour activity by overcoming T cell exhaustion in pancreatic cancer. Br J Pharmacol 2024. [PMID: 39129178 DOI: 10.1111/bph.16505] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 05/15/2024] [Accepted: 05/29/2024] [Indexed: 08/13/2024] Open
Abstract
BACKGROUND AND PURPOSE Although our previous data indicated that claudin 18 isoform 2 (CLDN18.2)-targeted chimeric antigen receptor (CAR) T cells displayed remarkable clinical efficacy in CLDN18.2-positive gastric cancer, their efficacy is limited in pancreatic ductal adenocarcinoma (PDAC). The tumour microenvironment (TME) is one of the main obstacles to the efficacy of CAR-T and remodelling the TME may be a possible way to overcome this obstacle. The TME of PDAC is characterized by abundant cancer-related fibroblasts (CAFs), which hinder the infiltration and function of CLDN18.2-targeted CAR-T cells. The expression of fibroblast activation protein alpha (FAP) is an important feature of active CAFs, providing potential targets for eliminating CAFs. EXPERIMENTAL APPROACH In this study, we generated 10 FAP/CLDN 18.2 dual-targeted CAR-T cells and evaluated their anti-tumour ability in vitro and in vivo. KEY RESULTS Compared with conventional CAR-T cells, some dual-targeted CAR-T cells showed improved therapeutic effects in mouse pancreatic cancers. Further, dual-targeted CAR-T cells with better anti-tumour effect could suppress the recruitment of myeloid-derived suppressor cells (MDSCs) to improve the immunosuppressive TME, which contributes to the survival of CD8+ T cells. Moreover, dual-targeted CAR-T cells reduced the exhaustion of T cells in transforming TGF-β dependent manner. CONCLUSION AND IMPLICATIONS The dual-targeted CAR-T cells obtained enhancement of T effector function, inhibition of T cell exhaustion, and improvement of tumour microenvironment. Our findings provide a theoretical rationale for dual-targeted FAP/CLDN 18.2 CAR-T cells therapy in PDAC.
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Affiliation(s)
- Sun Ruixin
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Department of Laboratory Medicine, Shanghai Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Liu Yifan
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Sun Yansha
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Zhou Min
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Dong Yiwei
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Hu Xiaoli
- CARsgen Therapeutics, Shanghai, China
| | - Shi Bizhi
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- CARsgen Therapeutics, Shanghai, China
| | - Jiang Hua
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- CARsgen Therapeutics, Shanghai, China
| | - Li Zonghai
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- CARsgen Therapeutics, Shanghai, China
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Liu J, Ye Z, Xiang J, Wang Q, Zhao W, Qin W, Rao J, Chen Y, Hu Z, Peng H. Association of muscle mass and radiodensity assessed by chest CT with all-cause and cardiovascular mortality in hemodialysis patients. Int Urol Nephrol 2024:10.1007/s11255-024-04113-6. [PMID: 38865001 DOI: 10.1007/s11255-024-04113-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Accepted: 06/05/2024] [Indexed: 06/13/2024]
Abstract
PURPOSE This study investigates the prognostic value of skeletal muscle index (SMI) and skeletal muscle radiodensity (SMD) measured by chest CT in relation to all-cause and cardiovascular disease (CVD) mortality among hemodialysis (HD) patients. METHODS A retrospective study was conducted from January 2015 to December 2021 involving HD patients at a dialysis center. Chest CT scans at the twelfth thoracic vertebra level (T12) were analyzed to assess SMI and SMD. Sex-specific cut-off values for two metrics were determined using maximally selected rank statistics. Hazard ratios (HRs) were calculated to evaluate the associations of SMI and SMD with mortality. The discrimination of prognostic models was also compared. RESULTS The study included 603 patients with a median age of 58 years. Of these, 187 (31.0%) patients with SMI < 30.00 cm2/m2 (male) or < 25.04 cm2/m2 (female) and 192 (31.8%) patients with SMD < 32.25 HU (male) or < 30.64 HU (female) were categorized as lower SMI and SMD, respectively. Over a median follow-up of 3.8 years, 144 deaths occurred. Multivariate Cox regression analysis showed that lower SMI and SMD were independently associated with all-cause mortality (SMI: HR = 1.47, 95% CI 1.03-2.10; SMD: HR = 1.75, 95% CI 1.20-2.54) and CVD mortality (SMI: HR = 1.74, 95% CI 1.03-2.94; SMD: HR = 1.72, 95% CI 1.02-2.95). Adding SMI and SMD to the established risk model improved the C-index from 0.82 to 0.87 (P < 0.001). Decision curve analysis showed that the prognostic model incorporating both SMI and SMD offered the highest net benefit for predicting all-cause mortality. CONCLUSIONS Muscle metrics derived from CT scans at T12 level provide valuable prognostic information which could enhance the role of chest CT in muscle assessment among HD patients.
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Affiliation(s)
- Jianqiang Liu
- Division of Nephrology, Department of Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Ave., Guangzhou, 510630, China
| | - Zengchun Ye
- Division of Nephrology, Department of Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Ave., Guangzhou, 510630, China
| | - Juncheng Xiang
- Division of Nephrology, Department of Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Ave., Guangzhou, 510630, China
| | - Qian Wang
- Division of Nephrology, Department of Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Ave., Guangzhou, 510630, China
| | - Wenbo Zhao
- Division of Nephrology, Department of Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Ave., Guangzhou, 510630, China
| | - Weixuan Qin
- Division of Nephrology, Department of Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Ave., Guangzhou, 510630, China
| | - Jialing Rao
- Division of Nephrology, Department of Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Ave., Guangzhou, 510630, China
| | - Yanru Chen
- Division of Nephrology, Department of Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Ave., Guangzhou, 510630, China
| | - Zhaoyong Hu
- Division of Nephrology, Department of Medicine, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Hui Peng
- Division of Nephrology, Department of Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Ave., Guangzhou, 510630, China.
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Pilcher WC, Yao L, Gonzalez-Kozlova E, Pita-Juarez Y, Karagkouni D, Acharya CR, Michaud ME, Hamilton M, Nanda S, Song Y, Sato K, Wang JT, Satpathy S, Ma Y, Schulman J, D'Souza D, Jayasinghe RG, Cheloni G, Bakhtiari M, Pabustan N, Nie K, Foltz JA, Saldarriaga I, Alaaeldin R, Lepisto E, Chen R, Fiala MA, Thomas BE, Cook A, Dos Santos JV, Chiang IL, Figueiredo I, Fortier J, Slade M, Oh ST, Rettig MP, Anderson E, Li Y, Dasari S, Strausbauch MA, Simon VA, Rahman AH, Chen Z, Lagana A, DiPersio JF, Rosenblatt J, Kim-Schulze S, Dhodapkar MV, Lonial S, Kumar S, Bhasin SS, Kourelis T, Vij R, Avigan D, Cho HJ, Mulligan G, Ding L, Gnjatic S, Vlachos IS, Bhasin M. A single-cell atlas characterizes dysregulation of the bone marrow immune microenvironment associated with outcomes in multiple myeloma. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.15.593193. [PMID: 38798338 PMCID: PMC11118283 DOI: 10.1101/2024.05.15.593193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Multiple Myeloma (MM) remains incurable despite advances in treatment options. Although tumor subtypes and specific DNA abnormalities are linked to worse prognosis, the impact of immune dysfunction on disease emergence and/or treatment sensitivity remains unclear. We established a harmonized consortium to generate an Immune Atlas of MM aimed at informing disease etiology, risk stratification, and potential therapeutic strategies. We generated a transcriptome profile of 1,149,344 single cells from the bone marrow of 263 newly diagnosed patients enrolled in the CoMMpass study and characterized immune and hematopoietic cell populations. Associating cell abundances and gene expression with disease progression revealed the presence of a proinflammatory immune senescence-associated secretory phenotype in rapidly progressing patients. Furthermore, signaling analyses suggested active intercellular communication involving APRIL-BCMA, potentially promoting tumor growth and survival. Finally, we demonstrate that integrating immune cell levels with genetic information can significantly improve patient stratification.
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Affiliation(s)
- William C. Pilcher
- Coultier Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA
| | - Lijun Yao
- Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Edgar Gonzalez-Kozlova
- Human Immune Monitoring Center, Tisch Cancer Institute, Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Yered Pita-Juarez
- Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Dimitra Karagkouni
- Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Marina E Michaud
- Department of Pediatrics, Emory School of Medicine, Atlanta, GA, USA
| | | | - Shivani Nanda
- Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Yizhe Song
- Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Kazuhito Sato
- Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Julia T. Wang
- Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Sarthak Satpathy
- Department of Biomedical Informatics, Emory School of Medicine, Atlanta, GA, USA
| | - Yuling Ma
- Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Darwin D'Souza
- Human Immune Monitoring Center, Tisch Cancer Institute, Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Reyka G. Jayasinghe
- Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Giulia Cheloni
- Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Mojtaba Bakhtiari
- Department of Pediatrics, Emory School of Medicine, Atlanta, GA, USA
| | | | - Kai Nie
- Human Immune Monitoring Center, Tisch Cancer Institute, Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jennifer A. Foltz
- Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | | | - Rania Alaaeldin
- Department of Pediatrics, Emory School of Medicine, Atlanta, GA, USA
| | | | - Rachel Chen
- Human Immune Monitoring Center, Tisch Cancer Institute, Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Mark A. Fiala
- Bone Marrow Transplantation & Leukemia Section, Division of Oncology, Washington University School of Medicine, St. Louis, MO, USA
| | - Beena E Thomas
- Department of Pediatrics, Emory School of Medicine, Atlanta, GA, USA
| | | | - Junia Vieira Dos Santos
- Tisch Cancer Institute, Department of Immunology and Immunotherapy, Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - I-ling Chiang
- Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Igor Figueiredo
- Human Immune Monitoring Center, Tisch Cancer Institute, Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Julie Fortier
- Bone Marrow Transplantation & Leukemia Section, Division of Oncology, Washington University School of Medicine, St. Louis, MO, USA
| | - Michael Slade
- Bone Marrow Transplantation & Leukemia Section, Division of Oncology, Washington University School of Medicine, St. Louis, MO, USA
| | - Stephen T. Oh
- Division of Hematology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
- Immunomonitoring Laboratory, Center for Human Immunology and Immunotherapy Programs, Washington University School of Medicine, St. Louis, MO, USA
| | - Michael P. Rettig
- Division of Oncology, Washington University School of Medicine, St. Louis, MO, USA
| | | | - Ying Li
- Mayo Clinic, Rochester, MN, USA
| | | | | | | | | | - Adeeb H Rahman
- Human Immune Monitoring Center, Tisch Cancer Institute, Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Zhihong Chen
- Human Immune Monitoring Center, Tisch Cancer Institute, Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alessandro Lagana
- Tisch Cancer Institute, Department of Immunology and Immunotherapy, Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - John F. DiPersio
- Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA
| | - Jacalyn Rosenblatt
- Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Cancer Center & Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Seunghee Kim-Schulze
- Human Immune Monitoring Center, Tisch Cancer Institute, Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Madhav V Dhodapkar
- Department of Hematology Oncology, Emory School of Medicine, Atlanta, GA, USA
- Winship Cancer Institute, Emory School of Medicine, Atlanta, GA, USA
| | - Sagar Lonial
- Department of Pediatrics, Emory School of Medicine, Atlanta, GA, USA
- Aflac Cancer and Blood Disorders Center, Children's Healthcare of Atlanta
| | | | - Swati S Bhasin
- Department of Pediatrics, Emory School of Medicine, Atlanta, GA, USA
| | | | - Ravi Vij
- Bone Marrow Transplantation & Leukemia Section, Division of Oncology, Washington University School of Medicine, St. Louis, MO, USA
- Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO, USA
| | - David Avigan
- Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Cancer Center & Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | | | | | - Li Ding
- Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA
- Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO, USA
| | - Sacha Gnjatic
- Human Immune Monitoring Center, Tisch Cancer Institute, Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ioannis S Vlachos
- Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Spatial Technologies Unit, Harvard Medical School Initiative for RNA Medicine, Boston, MA, USA
- Cancer Center & Cancer Research Institute, Beth Israel Deaconess Medical Center, Boston, MA
| | - Manoj Bhasin
- Coultier Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA
- Department of Pediatrics, Emory School of Medicine, Atlanta, GA, USA
- Department of Biomedical Informatics, Emory School of Medicine, Atlanta, GA, USA
- Aflac Cancer and Blood Disorders Center, Children's Healthcare of Atlanta, Atlanta, GA, USA
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Wang B, Wang X, Du X, Gao S, Liang B, Yao W. Identification and prognostic evaluation of differentially expressed long noncoding RNAs associated with immune infiltration in osteosarcoma. Heliyon 2024; 10:e27023. [PMID: 38463807 PMCID: PMC10920385 DOI: 10.1016/j.heliyon.2024.e27023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Revised: 01/20/2024] [Accepted: 02/22/2024] [Indexed: 03/12/2024] Open
Abstract
Osteosarcoma is a malignant bone cancer that originates from the bone with the strongest invasiveness. Tumor formation strongly correlates with immune cell infiltration into the tumor immune microenvironment (TIME). Therefore, we aimed to identify TIME-related biomarkers as potential prognostic markers of osteosarcoma. The mRNA and long noncoding RNA (lncRNA) transcriptome data of 88 patients with osteosarcoma and the expression profile of GSE99671 were downloaded from The Cancer Genome Atlas and Gene Expression Omnibus, respectively. Immune infiltration scores and types were evaluated using ESTIMATE and CIBERSORT. A linear model was established to identify the differentially expressed genes (DEGs) and lncRNAs (DElncRNAs). Functional enrichment analysis of DEGs was conducted by Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, gene set enrichment analysis, and gene set variation analysis. DElncRNAs were analyzed using a weighted gene co-expression network. Least absolute shrinkage and selection operator regression was applied to screen for prognostic markers. Patient survival was predicted by the risk score and analyzed by receiver operating characteristic curve. Clinical features affecting patient survival were assessed. Immune infiltration positively correlated with osteosarcoma patient survival. Different immune cell infiltrates in patients with osteosarcma may serve as prognostic indicators and targets for immunotherapy. In total, 1125 DEGs, 80 DElncRNAs, and 11 pairs of co-expressed lncRNA-mRNAs were identified. DEGs in the three modules were associated with immune infiltration into the TIME. Four DElncRNAs, namely AC015819.1, AC015911.3, AL365361.1, and USP30-AS1, showed good prognostic ability for osteosarcoma and were positively correlated with the immune score. Tumor metastasis and risk scores alone were good prognostic indicators, and a combination of the two variables can better predict the prognosis of osteosarcoma. We identified four lncRNAs, AC015819.1, AC015911.3, AL365361.1, and USP30-AS1, as potential biomarkers for osteosarcoma prognosis.
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Affiliation(s)
- Bangmin Wang
- Department of Bone Oncology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
| | - Xin Wang
- Department of Bone Oncology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
| | - Xinhui Du
- Department of Bone Oncology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
| | - Shilei Gao
- Department of Bone Oncology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
| | - Bo Liang
- Department of Nephrology, The Key Laboratory for the Prevention and Treatment of Chronic Kidney Disease of Chongqing, Chongqing Clinical Research Center of Kidney and Urology Diseases, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Weitao Yao
- Department of Bone Oncology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China
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Gil KE, Mikrut K, Mazur J, Black AL, Truong VT, Smart S, Zareba KM. Risk stratification in patients with structurally normal hearts: Does fibrosis type matter? PLoS One 2023; 18:e0295519. [PMID: 38117807 PMCID: PMC10732365 DOI: 10.1371/journal.pone.0295519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 11/26/2023] [Indexed: 12/22/2023] Open
Abstract
OBJECTIVES The study sought to assess the prognostic significance of nonischemic myocardial fibrosis (MF) on cardiovascular magnetic resonance (CMR)-both macroscopic MF assessed by late gadolinium enhancement (LGE) and diffuse microscopic MF quantified by extracellular volume fraction (ECV)-in patients with structurally normal hearts. BACKGROUND The clinical relevance of tissue abnormalities identified by CMR in patients with structurally normal hearts remains unclear. METHODS Consecutive patients undergoing CMR were screened for inclusion to identify those with LGE imaging and structurally normal hearts. ECV was calculated in patients with available T1 mapping. The associations between myocardial fibrosis and the outcomes of all-cause mortality, new-onset heart failure [HF], and an arrhythmic outcome were evaluated. RESULTS In total 525 patients (mean age 43.1±14.2 years; 30.5% males) were included. Over a median follow-up of 5.8 years, 13 (2.5%) patients died and 18 (3.4%) developed new-onset HF. Nonischemic midwall /subepicardial LGE was present in 278 (52.9%) patients; isolated RV insertion fibrosis was present in 80 (15.2%) patients. In 276 patients with available T1 mapping, the mean ECV was 25.5 ± 4.4%. There was no significant association between LGE and all-cause mortality (HR: 1.36, CI: 0.42-4.42, p = 0.61), or new-onset HF (HR: 0.64, CI: 0.25-1.61, p = 0.34). ECV (per 1% increase) correlated with all-cause mortality (HR: 1.19, CI: 1.04-1.36, p = 0.009), but not with new-onset HF (HR: 0.97, CI: 0.86-1.10, p = 0.66). There was no significant association between arrhythmic outcomes and LGE (p = 0.60) or ECV (p = 0.49). In a multivariable model after adjusting for covariates, ECV remained significantly associated with all-cause mortality (HR per 1% increase in ECV: 1.26, CI: 1.06-1.50, p = 0.009). CONCLUSION Nonischemic LGE in patients with structurally normal hearts is common and does not appear to be associated with adverse outcomes, whereas elevated ECV is associated with all-cause mortality and may be an important risk stratification tool.
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Affiliation(s)
- Katarzyna E. Gil
- The Ohio State University Division of Cardiovascular Medicine, Columbus, OH, United States of America
| | - Katarzyna Mikrut
- Advocate Heart Institute, Advocate Lutheran General Hospital, Chicago, IL, United States of America
| | - Jan Mazur
- University of Cincinnati College of Medicine, Cincinnati, OH, United States of America
| | - Ann Lowery Black
- The Ohio State University College of Medicine, Columbus, OH, United States of America
| | - Vien T. Truong
- Department of Internal Medicine, Nazareth Hospital, Philadelphia, PA, United States of America
| | - Suzanne Smart
- Dorothy M. Davis Heart and Lung Research Institute, The Ohio State University, Columbus, OH, United States of America
| | - Karolina M. Zareba
- The Ohio State University Division of Cardiovascular Medicine, Columbus, OH, United States of America
- Dorothy M. Davis Heart and Lung Research Institute, The Ohio State University, Columbus, OH, United States of America
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11
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Xiu Y, Jiang C, Huang Q, Yu X, Qiao K, Wu D, Yang X, Zhang S, Lu X, Huang Y. Naples score: a novel prognostic biomarker for breast cancer patients undergoing neoadjuvant chemotherapy. J Cancer Res Clin Oncol 2023; 149:16097-16110. [PMID: 37698677 DOI: 10.1007/s00432-023-05366-x] [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: 07/17/2023] [Accepted: 08/28/2023] [Indexed: 09/13/2023]
Abstract
BACKGROUND AND PURPOSE The Naples Score (NPS) is a novel prognostic indicator that has been used in various cancers, but its potential in breast malignant tumor patients receiving neoadjuvant chemotherapy (NAC) has not been discovered. This study aimed to investigate the relationship between NPS and overall survival (OS) and disease-free survival (DFS) in breast cancer patients. METHODS A total of 217 breast cancer patients undergoing NAC were incorporated into this retrospectively research. K-M survival curves and log-rank tests are used to determine OS and DFS. Cox regression model was used to evaluate the relationship between NPS and OS and DFS. Nomogram was developed based on the results of multivariate Cox regression analysis. Prognostic models were internally validated using bootstrapping and the consistency index (C-index). RESULTS Age group was correlated with NPS (p < 0.05). Low and moderate Naples risk patients had higher 5-year OS and DFS rates than high risk Naples patients (93.8% vs. 75.4% vs. 60.0%; X2 = 9.2, P = 0.01; 82.4% vs 64.5% vs 43.7%; X2 = 7.4, P = 0.024; respectively). The nomogram based on demonstrated good performance in predicting OS and DFS (AUC = 0.728, 0.630; respectively). CONCLUSIONS In breast cancer patients who have undergone NAC, NPS is a novel prognostic indicator. NPS combined with clinicopathological features showed good predictive ability, and its performance was better than that of traditional pathological TNM staging.
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Affiliation(s)
- Yuting Xiu
- Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, 150086, China
| | - Cong Jiang
- Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, 150086, China
| | - Qinghua Huang
- Department of Breast Surgery, Wuzhou Red Cross Hospital, Wuzhou, 543000, China
| | - Xiao Yu
- Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, 150086, China
| | - Kun Qiao
- Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, 150086, China
| | - Danping Wu
- Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, 150086, China
| | - Xiaotian Yang
- Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, 150086, China
| | - Shiyuan Zhang
- Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, 150086, China
| | - Xiangshi Lu
- Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, 150086, China.
| | - Yuanxi Huang
- Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, 150086, China.
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Yan W, Liu T, He M, Yi J, Tang L, Ou X, Hu C. Induction chemotherapy plus re-irradiation versus re-irradiation alone in locally recurrent nasopharyngeal carcinoma: A model-based analysis. Radiother Oncol 2023; 188:109903. [PMID: 37678621 DOI: 10.1016/j.radonc.2023.109903] [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: 10/20/2022] [Revised: 08/26/2023] [Accepted: 09/01/2023] [Indexed: 09/09/2023]
Abstract
OBJECTIVE To investigate the role of additional induction chemotherapy (IC) prior to re-irradiation in locally recurrent nasopharyngeal carcinoma (lrNPC). METHODS A total of 480 patients from three cancer treatment centers who received re-irradiation between 2012 and 2020 were retrospectively analyzed. Overall survival (OS) was determined using the Kaplan-Meier method and compared with log-rank method. Inverse probability of treatment weighting (IPTW) was performed to match the patients in pairwise treatment groups. Multivariate analysis using the Cox proportional hazards regression method identified predictors of OS. The risk stratification model was defined by the risk score calculated with the sum of coefficients. RESULTS In the entire cohort, the addition of IC was associated with similar OS compared with radiotherapy alone (P = 0.58) or with concomitant chemoradiation (P = 0.76). A risk stratification model was constructed and validated based on significant prognostic factors (coefficient) including male (0.6), age ≥ 60 years (0.9), volume of recurrence gross tumor volume ≥ 16 cc (0.7), and lactate dehydrogenase (LDH)-ratio ≥ 0.5 (0.4). In the intermediate-risk group (sum of coefficient: 0.9---1.6), patients with IC plus re-irradiation had a significantly better OS than those who received re-irradiation (P = 0.03). After adjustments for several potentially confounding variables with IPTW, survival benefit of IC was also observed (P = 0.031). However, no significant difference in OS for the additional IC prior to re-irradiation was demonstrated in the low- (sum of coefficient: <0.9) and high-risk group (sum of coefficient: > 1.6). CONCLUSION Additional IC prior to re-irradiation was associated with improved OS in the intermediate-risk group of lrNPC, whereas there was no difference for the low-risk and high-risk group. Prospective validation is required to validate these findings.
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Affiliation(s)
- Wenbin Yan
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China; Shanghai Clinical Research Center for Radiation Oncology, Shanghai 200032, China; Shanghai Key Laboratory of Radiation Oncology, Shanghai 200032, China.
| | - Ting Liu
- Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, China.
| | - Meilin He
- Department of radiation oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
| | - Junlin Yi
- Department of radiation oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
| | - Linquan Tang
- Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, China.
| | - Xiaomin Ou
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China; Shanghai Clinical Research Center for Radiation Oncology, Shanghai 200032, China; Shanghai Key Laboratory of Radiation Oncology, Shanghai 200032, China.
| | - Chaosu Hu
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China; Shanghai Clinical Research Center for Radiation Oncology, Shanghai 200032, China; Shanghai Key Laboratory of Radiation Oncology, Shanghai 200032, China.
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Wang MD, Duan FF, Hua X, Cao L, Xia W, Chen JY. A Novel Albumin-Related Nutrition Biomarker Predicts Breast Cancer Prognosis in Neoadjuvant Chemotherapy: A Two-Center Cohort Study. Nutrients 2023; 15:4292. [PMID: 37836576 PMCID: PMC10574703 DOI: 10.3390/nu15194292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Revised: 09/29/2023] [Accepted: 10/04/2023] [Indexed: 10/15/2023] Open
Abstract
BACKGROUND Recently, there has been a growing focus on the prognostic significance of nutrition-related biomarkers. We attempted to explore the association between a novel albumin-related nutrition marker called "lymphocyte × albumin (LA)" and disease-free survival (DFS) in breast cancer patients undergoing neoadjuvant chemotherapy (NAC). METHODS In total, 711 non-metastatic breast cancer patients who underwent NAC at two medical centers were retrospectively analyzed. We performed least absolute shrinkage and selection operator (LASSO) Cox regression analysis as well as multivariate Cox regression analyses to identify the variables associated with DFS and to establish a predictive nomogram. RESULTS The nomogram incorporated four variables based on the multivariate analysis of DFS in the training cohort: LA, ypN stage, ypT stage, and hormone receptor status. In comparison with the traditional TNM staging system, the nomogram demonstrated superior discrimination, calibration ability, and clinical usefulness in both the training set and internal and external validation sets. Furthermore, patients stratified into different risk groups resulted in significant differences in DFS. CONCLUSIONS LA is an independent prognostic biomarker, and LA-based prognostic nomogram offers a more precise assessment of DFS for breast cancer patients treated with NAC, potentially serving as a valuable tool for personalized prognostic predictions.
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Affiliation(s)
- Meng-Di Wang
- Department of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China; (M.-D.W.); (X.H.)
| | - Fang-Fang Duan
- The State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Xin Hua
- Department of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China; (M.-D.W.); (X.H.)
| | - Lu Cao
- Department of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China; (M.-D.W.); (X.H.)
| | - Wen Xia
- The State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Jia-Yi Chen
- Department of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200025, China; (M.-D.W.); (X.H.)
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14
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Wang J, Tan S, Xu J, Li S, Yan M, Yang F, Huang Q, Zhang Z, Zhang Y, Han J, Liu H, Zhuang Q, Xi Q, Meng Q, Wu G. Development and application of the Cancer Cachexia Staging Index for the diagnosis and staging of cancer cachexia. Nutrition 2023; 114:112114. [PMID: 37454609 DOI: 10.1016/j.nut.2023.112114] [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: 12/28/2022] [Accepted: 06/01/2023] [Indexed: 07/18/2023]
Abstract
OBJECTIVE The current tools for evaluating cancer cachexia are either too simple to reflect the far-reaching effects of cachexia or too complicated to be used in daily practice. This study aimed to develop a cancer cachexia staging index (CCSI) that is both practical and comprehensive. METHODS Patients with gastrointestinal cancers were prospectively included in the study. Clinical data including weight change, body composition, systematic inflammation, nutrition, and function status were entered into regression models to determine the best variable combination as well as their respective cutoff values and score distribution in the CCSI. The CCSI's ability to predict outcomes and evaluate the consequences of cachexia for patients were then assessed. RESULTS Clinical information and test results from 10 568 patients were used to develop a CCSI composed of subjective and objective measures. Subjective measures included body mass index-adjusted weight loss grade, rate of weight loss, inflammation (neutrophil-to-lymphocyte ratio and C-reactive protein level), and prealbumin level. Objective measures included appetite status and physical status. Patients were diagnosed and stratified by the total CCSI score into 3 subgroups: no cachexia, mild or moderate cachexia, and severe cachexia. The CCSI grades showed good survival discrimination and were independently predictive of survival in multivariate analysis. Compared with the traditional Fearon criteria for diagnosing cancer cachexia, the CCSI was more accurate in predicting postoperative complications (net reclassification index [NRI], 2.8%; 95% CI, 0.0104-0.0456%), death (NRI, 10.68%; 95% CI, 0.0429-0.1708%), recurrence (NRI, 3.71%; 95% CI, 0.0082-0.0685%), and overall survival (NRI, 8.5%; 95% CI, 0.0219-0.1533%). The CCSI also had better discriminative ability than Fearon criteria in discriminating nutritional status, body composition, and systematic inflammation in patients with or without cachexia. A more detailed evaluation of a randomly selected subgroup (n = 1566) showed that CCSI grades had good discrimination of appetite and food intake status, physical function and muscle strength, symptom burden, and quality of life. CONCLUSIONS The CCSI is a comprehensive and practical evaluation tool for cancer cachexia. It can predict postoperative outcomes and survival. The CCSI stages showed good discrimination when evaluating patients with cancer in terms of nutritional status, physical function, systematic inflammation, body composition, symptom burden, and quality of life.
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Affiliation(s)
- Junjie Wang
- Department of General Surgery/Shanghai Clinical Nutrition Research Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Shanjun Tan
- Department of General Surgery/Shanghai Clinical Nutrition Research Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jiahao Xu
- Department of General Surgery/Shanghai Clinical Nutrition Research Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Shuhao Li
- Department of General Surgery/Shanghai Clinical Nutrition Research Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Mingyue Yan
- Department of General Surgery/Shanghai Clinical Nutrition Research Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Fan Yang
- Department of General Surgery/Shanghai Clinical Nutrition Research Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Qiuyue Huang
- Department of General Surgery/Shanghai Clinical Nutrition Research Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Zhige Zhang
- Department of General Surgery/Shanghai Clinical Nutrition Research Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yanni Zhang
- Department of General Surgery/Shanghai Clinical Nutrition Research Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jun Han
- Department of General Surgery/Shanghai Clinical Nutrition Research Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Hao Liu
- Department of General Surgery/Shanghai Clinical Nutrition Research Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Qiulin Zhuang
- Department of General Surgery/Shanghai Clinical Nutrition Research Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Qiulei Xi
- Department of General Surgery/Shanghai Clinical Nutrition Research Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Qingyang Meng
- Department of General Surgery/Shanghai Clinical Nutrition Research Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Guohao Wu
- Department of General Surgery/Shanghai Clinical Nutrition Research Center, Zhongshan Hospital, Fudan University, Shanghai, China.
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Wu Q, Deng L, Cao Y, Lian S. Preoperative Biomarkers and Survival in Chinese Breast Cancer Patients with HIV: A Propensity-Score-Matched-Cohort Study. Viruses 2023; 15:1490. [PMID: 37515177 PMCID: PMC10383696 DOI: 10.3390/v15071490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 06/27/2023] [Accepted: 06/29/2023] [Indexed: 07/30/2023] Open
Abstract
BACKGROUND China initiated its national free antiretroviral therapy program in 2004 and saw a dramatic decline in mortality among the population with HIV. However, the morbidity of non-AIDS-defining cancers such as breast cancer is steadily growing as life expectancy improves. The aim of this study was to investigate the clinical characteristics and prognosis of breast cancer patients with HIV in China. MATERIALS AND METHODS Data from 21 breast cancer patients with HIV and 396 breast cancer patients without HIV treated at the Shanghai public health clinical center from 2014-2022 was collected. After propensity score matching, 21 paired patients in the two groups were obtained and compared. The optimal cut-off value of preoperative biomarkers for recurrence was determined via maximally selected log-rank statistics. Preoperative biomarkers were categorized into high and low groups, based on the best cut-off values and compared using Kaplan-Meier survival curves and the log-rank test. The Cox proportional hazards regression model was used to perform univariate and multivariate analyses. RESULTS The median follow-up time was 38 months (IQR: 20-68 months) for the propensity-score-matching cohort. The progression-free survival at 1, 2 and 3 years for patients with and without HIV were 74.51%, 67.74%, and 37.63% and 95.24%, 95.24%, and 90.48%, respectively. The overall survival for patients with HIV at 1, 2 and 3 years were 94.44%, 76.74%, and 42.63%. After multivariate analysis, Only HIV status (hazard ratios (HRs) = 6.83, 95% [confidence intervals (CI)] 1.22-38.12) were associated with progression-free survival. Based on the best cut-off value, CD8 showed discriminative value for overall survival (p = 0.04), whereas four variables, the lymphocyte-to-monocyte ratio (p = 0.02), platelet-to-lymphocyte ratio (p = 0.03), CD3 (p = 0.01) and CD8 (p < 0.01) were suggested be significant for progression-free survival. The univariate analysis suggested that CD3 (HRs = 0.10, 95% [CI] 0.01-0.90) and lymphocyte-to-monocyte ratio (HRs = 0.22, 95% [CI] 0.05-0.93) were identified as significant predictors for progression-free survival. CONCLUSION In this study, breast cancer in patients with HIV in China reflected a more aggressive nature with a more advanced diagnostic stage and worse prognosis. Moreover, preoperative immune and inflammatory biomarkers might play a role in the prognosis of breast cancer patients with HIV.
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Affiliation(s)
- Qian Wu
- Department of General Surgery, Fudan University Affiliated Huadong Hospital, Shanghai 200040, China
| | - Li Deng
- Department of General Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Ye Cao
- Department of General Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
| | - Shixian Lian
- Department of General Surgery, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China
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Qiu Z, Wu Z, Zhou X, Lin F, Lyu S, Su Y, Tao Y. Could definitive radiotherapy be a treatment option for lymphoepithelial carcinoma of major salivary gland: Comparison of clinical outcomes of upfront surgery and upfront chemoradiotherapy. Oral Oncol 2023; 143:106443. [PMID: 37295063 DOI: 10.1016/j.oraloncology.2023.106443] [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: 05/28/2023] [Accepted: 05/30/2023] [Indexed: 06/12/2023]
Abstract
OBJECTIVES The optimal treatment and associated clinical outcomes for lymphoepithelial carcinoma of the major salivary gland (LECSG) are currently unclear. As such, the purpose of this study was to assess the survival rates of LECSG patients who received either upfront surgery or upfront chemoradiotherapy (CRT). MATERIALS AND METHODS In this retrospective study, we analyzed cases of LECSG patients treated at our center from January 2010 to April 2021. The cumulative incidences of overall survival rate (OS) and locoregional failure-free survival rate (LRFFS) were evaluated using the Kaplan-Meier method. In order to balance potential risk factors between the treatment groups, we conducted propensity score matching (PSM) at a 1:1 ratio. RESULTS The study enrolled a total of 107 patients, among whom 24 received surgery alone, 56 underwent surgery combined with postoperative radiotherapy, and 27 underwent definitive radiotherapy. The 5-year LRFFS rate and 5-year OS rate for the entire cohort were 86.6% and 84.4%, respectively. Following PSM, the 5-year LRFFS and OS rates for the upfront CRT cases were comparable to those of upfront surgery, both before and after matching. However, the upfront surgery group showed a tendency toward more de novo facial nerve injury and post-treatment facial nerve injury. CONCLUSION The results of this study suggest that upfront CRT is as effective as upfront surgery in terms of locoregional control and overall survival for LECSG patients. Therefore, upfront CRT could be considered a viable treatment option, potentially avoiding the risks associated with surgical intervention.
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Affiliation(s)
- Zichen Qiu
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, No. 651 Dongfeng Road East, Guangzhou 510060, PR China
| | - Zheng Wu
- Department of Radiation Oncology, Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, 283 Tong Zi Po Road, Changsha 410013, PR China
| | - Xiong Zhou
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, No. 651 Dongfeng Road East, Guangzhou 510060, PR China
| | - Feifei Lin
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, No. 651 Dongfeng Road East, Guangzhou 510060, PR China
| | - Shaowen Lyu
- Department of Radiation Oncology (MAASTRO), GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Yong Su
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, No. 651 Dongfeng Road East, Guangzhou 510060, PR China.
| | - Yalan Tao
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, No. 651 Dongfeng Road East, Guangzhou 510060, PR China.
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Li D, Ma D, Hou Y. Pyroptosis patterns influence the clinical outcome and immune microenvironment characterization in HPV-positive head and neck squamous cell carcinoma. Infect Agent Cancer 2023; 18:30. [PMID: 37221570 DOI: 10.1186/s13027-023-00507-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 04/26/2023] [Indexed: 05/25/2023] Open
Abstract
BACKGROUND Head and neck squamous cell carcinoma (HNSCC) is a heterogeneous tumor with diverse molecular pathological profiles. Recent studies have suggested the vital role of pyroptosis in tumor microenvironment. However, the expression patterns of pyroptosis in HPV-positive HNSCC are still unclear. METHODS Unsupervised clustering analysis was used to identify the pyroptosis patterns based on the RNA-sequencing data of 27 pyroptosis-related genes (PRGs) in HPV-positive HNSCC samples. Random forest classifier and artificial neural network were performed to screen the signature genes associated with pyroptosis, which were verified in two independent external cohorts and qRT-PCR experiment. Principal component analysis was used to develop a scoring system, namely Pyroscore. RESULTS The expression variations of 27 PRGs in HPV-positive HNSCC patients were analyzed from genomic and transcriptional domains. Two pyroptosis-related subtypes with distinct clinical outcomes, enrichment pathways and immune characteristics were identified. Next, six signature genes (GZMB, LAG3, NKG7, PRF1, GZMA and GZMH) associated with pyroptosis were selected for prognostic prediction. Further, a Pyroscore system was constructed to determine the level of pyroptosis in each patient. A low Pyroscore was featured by better survival time, increased immune cell infiltration, higher expression of immune checkpoint molecules and T cell-inflamed genes, as well as elevated mutational burden. The Pyroscore was also related to the sensitivity of chemotherapeutic agents. CONCLUSIONS The pyroptosis-related signature genes and Pyroscore system may be reliable predictors of prognosis and serve as mediators of immune microenvironment in patients with HPV-positive HNSCC.
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Affiliation(s)
- Doudou Li
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, 98# XiWu Road, Xi'an, 710004, Shaanxi, P.R. China
- Department of Orthodontics, College of Stomatology, Xi'an Jiaotong University, 98# XiWu Road, Xi'an, 710004, Shaanxi, P.R. China
| | - Dong Ma
- Department of Oral and Maxillofacial Surgery, College of Stomatology, Xi'an Jiaotong University, 98# XiWu Road, Xi'an, 710004, Shaanxi, P.R. China
| | - Yuxia Hou
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, 98# XiWu Road, Xi'an, 710004, Shaanxi, P.R. China.
- Department of Orthodontics, College of Stomatology, Xi'an Jiaotong University, 98# XiWu Road, Xi'an, 710004, Shaanxi, P.R. China.
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Jeong MJ, Yoon YN, Kang YK, Kim CJ, Nam HS, Lee YS. A Novel Score Using Lymphocyte-to-Monocyte Ratio in Blood and Malignant Body Fluid for Predicting Prognosis of Patients with Advanced Ovarian Cancer. Cancers (Basel) 2023; 15:cancers15082328. [PMID: 37190256 DOI: 10.3390/cancers15082328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 04/11/2023] [Accepted: 04/14/2023] [Indexed: 05/17/2023] Open
Abstract
(1) Background: The lymphocyte-to-monocyte ratio (LMR), one of the systemic inflammatory markers, has been shown to be associated with prognosis of various solid tumors. However, no study has reported clinical utility of the LMR of malignant body fluid (mLMR) (2) Methods: We retrospectively analyzed clinical data of the final 92 patients of a total of 197 patients with advanced ovarian cancer newly diagnosed from November 2015 and December 2021 using our institute big data. (3) Results: Patients were divided into three groups according to their combined bLMR and mLMR scores (bmLMR score): 2, both bLMR and mLMR were elevated; 1, bLMR or mLMR was elevated; and 0, neither bLMR nor mLMR was elevated. A multivariable analysis confirmed that the histologic grade (p = 0.001), status of residual disease (p < 0.001), and bmLMR score (p < 0.001) were independent predictors of disease progression. A low combined value of bLMR and mLMR was strongly associated with a poor prognosis in patients with ovarian cancer. (4) Conclusions: Although further studies are required to apply our results clinically, this is the first study to validate the clinical value of mLMR for predicting prognosis of patients with advanced ovarian cancer.
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Affiliation(s)
- Min Jin Jeong
- Department of Obstetrics and Gynecology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 03312, Republic of Korea
| | - Yeo Nyeong Yoon
- Department of Obstetrics and Gynecology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 03312, Republic of Korea
| | - Yeon Kyung Kang
- Department of Obstetrics and Gynecology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 03312, Republic of Korea
| | - Chan Joo Kim
- Department of Obstetrics and Gynecology, Uijeongbu St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 11765, Republic of Korea
| | - Hae Seong Nam
- Division of Pulmonology, Department of Internal Medicine, Inha University Hospital, Inha University School of Medicine, Incheon 22332, Republic of Korea
| | - Yong Seok Lee
- Department of Obstetrics and Gynecology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 03312, Republic of Korea
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Liu Y, Sun Y, Wang P, Li S, Dong Y, Zhou M, Shi B, Jiang H, Sun R, Li Z. FAP-targeted CAR-T suppresses MDSCs recruitment to improve the antitumor efficacy of claudin18.2-targeted CAR-T against pancreatic cancer. J Transl Med 2023; 21:255. [PMID: 37046312 PMCID: PMC10091631 DOI: 10.1186/s12967-023-04080-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 03/25/2023] [Indexed: 04/14/2023] Open
Abstract
PURPOSE The claudin 18.2 (CLDN18.2) antigen is frequently expressed in malignant tumors, including pancreatic ductal adenocarcinoma (PDAC). Although CLDN18.2-targeted CAR-T cells demonstrated some therapeutic efficacy in PDAC patients, further improvement is needed. One of the major obstacles might be the abundant cancer-associated fibroblasts (CAFs) in the PDAC tumor microenvironment (TME). Targeting fibroblast activation protein (FAP), a vital characteristic of CAFs provides a potential way to overcome this obstacle. In this study, we explored the combined antitumor activity of FAP-targeted and CLDN18.2-targeted CAR-T cells against PDAC. METHODS Novel FAP-targeted CAR-T cells were developed. Sequential treatment of FAP-targeted and CLDN18.2-targeted CAR-T cells as well as the corresponding mechanism were explored in immunocompetent mouse models of PDAC. RESULTS The results indicated that the priorly FAP-targeted CAR-T cells infusion could significantly eliminate CAFs and enhance the anti-PDAC efficacy of subsequently CLDN18.2-targeted CAR-T cells in vivo. Interestingly, we observed that FAP-targeted CAR-T cells could suppress the recruitment of myeloid-derived suppressor cells (MDSCs) and promote the survival of CD8+ T cells and CAR-T cells in tumor tissue. CONCLUSION In summary, our finding demonstrated that FAP-targeted CAR-T cells could increase the antitumor activities of sequential CAR-T therapy via remodeling TME, at least partially through inhibiting MDSCs recruitment. Sequential infusion of FAP-targeted and CLDN18.2-targeted CAR-T cells might be a feasible approach to enhance the clinical outcome of PDAC.
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Affiliation(s)
- Yifan Liu
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, No. 25/Ln2200 XieTu Road, Shanghai, 200032, China
| | - Yansha Sun
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, No. 25/Ln2200 XieTu Road, Shanghai, 200032, China
| | - Peng Wang
- CARsgen Therapeutics, Shanghai, 200032, China
| | - Songling Li
- State Key Laboratory for Oncogenes and Related Genes, Renji-Med X Clinical Stem Cell Research Center, Ren Ji Hospital, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Yiwei Dong
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, No. 25/Ln2200 XieTu Road, Shanghai, 200032, China
| | - Min Zhou
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, No. 25/Ln2200 XieTu Road, Shanghai, 200032, China
| | - Bizhi Shi
- CARsgen Therapeutics, Shanghai, 200032, China
| | - Hua Jiang
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, No. 25/Ln2200 XieTu Road, Shanghai, 200032, China
- CARsgen Therapeutics, Shanghai, 200032, China
| | - Ruixin Sun
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, No. 25/Ln2200 XieTu Road, Shanghai, 200032, China.
| | - Zonghai Li
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, No. 25/Ln2200 XieTu Road, Shanghai, 200032, China.
- CARsgen Therapeutics, Shanghai, 200032, China.
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Li X, Cai D, Huang Y, Xie Y, Shen D, Yuan Z, Liu X, Huang M, Luo Y, Yu H, Wang X. Aberrant methylation in neurofunctional gene serves as a hallmark of tumorigenesis and progression in colorectal cancer. BMC Cancer 2023; 23:315. [PMID: 37020199 PMCID: PMC10077670 DOI: 10.1186/s12885-023-10765-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 03/22/2023] [Indexed: 04/07/2023] Open
Abstract
BACKGROUND DNA methylation is one of the most promising biomarkers in predicting the prognosis of colorectal cancer (CRC). We aimed to develop a DNA methylation biomarker that could evaluate the prognosis of CRC. METHODS A promising DNA methylation biomarker was developed by hypermethylated genes in cancer tissue that were identified from Illumina EPIC methylation arrays. A cohort comprising 30 pairs of snap-frozen tumor tissue and adjacent normal tissue was used for correlation analysis between the methylation and expression status of the marker. The other cohort comprising 254 formalin-fixed paraffin-embedded (FFPE) tumor tissue from 254 CRC patients was used for prognosis analysis. RESULTS Regulating synaptic membrane exocytosis 2 (RIMS2) was hypermethylated and lowly expressed in CRC comparing to adjacent normal tissue. Hypermethylation of RIMS2 in CRC was correlated with less frequent KRAS mutant and high differentiation. RIMS2 promoter methylation showed independent predictive value for survival outcome (P = 0.015, HR 1.992, 95% CI [(1.140-3.48)]), and a combination of RIMS2 methylation with KRAS status could predict prognosis better. CONCLUSIONS RIMS2 is frequently hypermethylated in CRC, which can silence the expression of RIMS2. RIMS2 methylation is a novel biomarker for predicting the prognosis of CRC.
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Affiliation(s)
- Xuan Li
- Department of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
- Guangdong Institute of Gastroenterology, Guangzhou, Guangdong, China
- Department of General Surgery, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Du Cai
- Department of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
- Guangdong Institute of Gastroenterology, Guangzhou, Guangdong, China
- Department of General Surgery, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Yaoyi Huang
- Department of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
- Guangdong Institute of Gastroenterology, Guangzhou, Guangdong, China
- Department of General Surgery, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Yumo Xie
- Department of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
- Guangdong Institute of Gastroenterology, Guangzhou, Guangdong, China
- Department of General Surgery, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Dingcheng Shen
- Department of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
- Guangdong Institute of Gastroenterology, Guangzhou, Guangdong, China
- Department of General Surgery, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Ze Yuan
- Department of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
- Guangdong Institute of Gastroenterology, Guangzhou, Guangdong, China
- Department of General Surgery, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Xiaoxia Liu
- Department of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
- Guangdong Institute of Gastroenterology, Guangzhou, Guangdong, China
- Department of General Surgery, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Meijin Huang
- Department of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
- Guangdong Institute of Gastroenterology, Guangzhou, Guangdong, China
- Department of General Surgery, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Yanxin Luo
- Department of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
- Guangdong Institute of Gastroenterology, Guangzhou, Guangdong, China
- Department of General Surgery, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Huichuan Yu
- Department of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China.
- Guangdong Institute of Gastroenterology, Guangzhou, Guangdong, China.
- Department of General Surgery, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China.
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China.
| | - Xiaolin Wang
- Department of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China.
- Guangdong Institute of Gastroenterology, Guangzhou, Guangdong, China.
- Department of General Surgery, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China.
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China.
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Huang D, Zheng S, Huang F, Chen J, Zhang Y, Chen Y, Li B. Prognostic nomograms integrating preoperative serum lipid derivative and systemic inflammatory marker of patients with non-metastatic colorectal cancer undergoing curative resection. Front Oncol 2023; 13:1100820. [PMID: 36969019 PMCID: PMC10034181 DOI: 10.3389/fonc.2023.1100820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 02/22/2023] [Indexed: 03/11/2023] Open
Abstract
BackgroundLipid metabolism and cancer-related inflammation are closely related to the progression and prognosis of colorectal cancer (CRC). Therefore, this study aims to establish novel nomograms based on the combined detection of preoperative blood lipids and systemic inflammatory indicators to predict the overall survival (OS) and cancer-specific survival (CCS) of CRC patients.MethodsA total of 523 patients with stage I-III CRC in our institute were collected from 2014 to 2018. The independent predictors for OS and CCS were determined by forward stepwise Cox regression for the establishment of prognostic models. The superiorities of different models were compared by concordance index (C-index), Akaike information criterion (AIC) and integrated discrimination improvement analysis. The performance of the nomograms based on the optimal models was measured by the plotting time-dependent receiver operating characteristic curves, calibration curves, and decision curves, and compared with the tumor-node-metastasis (TNM) staging system. The cohort was categorized into low-risk, medium-risk and high-risk groups according to the risk points of the nomogram, and analyzed using Kaplan–Meier curves and log-rank test.ResultsPreoperative TG/HDL-C ratio (THR) ≥ 1.93 and prognostic nutritional index (PNI) ≥ 42.55 were independently associated with favorable outcomes in CRC patients. Six (pT stage, pN stage, histological subtype, perineural invasion, THR and PNI) and seven (pT stage, pN stage, histological subtype, perineural invasion, gross appearance, THR and PNI) variables were chosen to develop the optimal models and construct nomograms for the prediction of OS and CCS. The models had lower AIC and larger C-indexes than other models lacking either or both of THR and PNI, and improved those integrated discrimination ability significantly. The nomograms showed better discrimination ability, calibration ability and clinical effectiveness than TNM system in predicting OS and CCS, and these results were reproducible in the validation cohort. The three risk stratifications based on the nomograms presented significant discrepancies in prognosis.ConclusionPreoperative THR and PNI have distinct prognostic value in stage I-III CRC patients. The nomograms incorporated the two indexes provide an intuitive and reliable approach for predicting the prognosis and optimizing individualized therapy of non-metastatic CRC patients, which may be a complement to the TNM staging system.
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Affiliation(s)
- Dimei Huang
- Department of General Internal Medicine, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, China
| | - Shaochu Zheng
- Department of Haematology/Oncology and Paediatric Oncology, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, China
| | - Fang Huang
- Department of General Internal Medicine, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, China
| | - Jingyu Chen
- Department of General Internal Medicine, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, China
| | - Yuexiang Zhang
- Department of Oncology, Affiliated Changzhi People’s Hospital of Changzhi Medical College, Changzhi, China
| | - Yusha Chen
- Department of Oncology, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China
| | - Bixun Li
- Department of General Internal Medicine, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, China
- *Correspondence: Bixun Li,
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Sun H, Wang H, Wang Y, Zhong W, Meng Y, Lv Z, Guo W, Han B. Adjuvant transarterial chemoembolization timing after radical resection is an independent prognostic factor for patients with hepatocellular carcinoma. Front Oncol 2023; 13:1129065. [PMID: 36969018 PMCID: PMC10034130 DOI: 10.3389/fonc.2023.1129065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 02/22/2023] [Indexed: 03/11/2023] Open
Abstract
BackgroundIt has been reported that postoperative adjuvant TACE (PA-TACE) treatment decreases recurrence and significantly improves the survival of patients who undergo radical resection of hepatocellular carcinoma (HCC) with high-risk recurrence factors. However, when to perform PA-TACE has not been fully studied.MethodsWe retrospectively collected the clinicopathologic characteristics of the patients with HCC between October 2013 and June 2020. The optimal cutoff value for PA-TACE time was determined based on the R package “maxstat”. Logistic regression and Cox regression analysis were used to determine the effect of the choice of PA-TACE timing on prognosis.ResultsThe analysis was performed on 789 patients with HCC, and 484 patients were finally involved and were divided into training cohort (378) and validation cohort (106). The PA-TACE timing was found to be associated with survival outcomes. Multivariate logistic analysis found independent predictors of the PA-TACE timing, including gender and history of HBV. Multivariate Cox analysis showed that Ki-67, tumor size, MVI and the PA-TACE timing were independent prognostic factors for RFS in HCC patients.ConclusionsBased on this study, HCC patients with high-risk recurrence factors can receive personalized assistance in undergoing PA-TACE treatment and improve their survival outcomes.
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Affiliation(s)
- Hongfa Sun
- Department of Hepatobiliary and Pancreatic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Hanlin Wang
- Department of Hepatobiliary and Pancreatic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Youpeng Wang
- Department of Hepatobiliary and Pancreatic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Wenqing Zhong
- Department of Hepatobiliary and Pancreatic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Yushan Meng
- Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Ziqiang Lv
- Department of Hepatobiliary and Pancreatic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Weidong Guo
- Department of Hepatobiliary and Pancreatic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
- *Correspondence: Bing Han, ; Weidong Guo,
| | - Bing Han
- Department of Hepatobiliary and Pancreatic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
- *Correspondence: Bing Han, ; Weidong Guo,
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23
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Chen D, Lai J, Cheng J, Fu M, Lin L, Chen F, Huang R, Chen J, Lu J, Chen Y, Huang G, Yan M, Ma X, Li G, Chen G, Yan J. Predicting peritoneal recurrence in gastric cancer with serosal invasion using a pathomics nomogram. iScience 2023; 26:106246. [PMID: 36994190 PMCID: PMC10040964 DOI: 10.1016/j.isci.2023.106246] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 01/29/2023] [Accepted: 02/16/2023] [Indexed: 03/06/2023] Open
Abstract
Peritoneal recurrence is the most frequent and lethal recurrence pattern in gastric cancer (GC) with serosal invasion after radical surgery. However, current evaluation methods are not adequate for predicting peritoneal recurrence in GC with serosal invasion. Emerging evidence shows that pathomics analyses could be advantageous for risk stratification and outcome prediction. Herein, we propose a pathomics signature composed of multiple pathomics features extracted from digital hematoxylin and eosin-stained images. We found that the pathomics signature was significantly associated with peritoneal recurrence. A competing-risk pathomics nomogram including carbohydrate antigen 19-9 level, depth of invasion, lymph node metastasis, and pathomics signature was developed for predicting peritoneal recurrence. The pathomics nomogram had favorable discrimination and calibration. Thus, the pathomics signature is a predictive indicator of peritoneal recurrence, and the pathomics nomogram may provide a helpful reference for predicting an individual's risk in peritoneal recurrence of GC with serosal invasion.
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Affiliation(s)
- Dexin Chen
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, Guangzhou 510515, P.R. China
- Corresponding author
| | - Jianbo Lai
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, Guangzhou 510515, P.R. China
| | - Jiaxin Cheng
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, Guangzhou 510515, P.R. China
| | - Meiting Fu
- Department of Gastroenterology, Guangdong Provincial Key Laboratory of Gastroenterology, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, Guangzhou 510515, P.R. China
| | - Liyan Lin
- Department of Pathology, Fujian Provincial Key Laboratory of Translational Cancer Medicine, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou 350014, P.R. China
| | - Feng Chen
- Department of Oncological Surgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou 362000, P.R. China
| | - Rong Huang
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, Guangzhou 510515, P.R. China
| | - Jun Chen
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, Guangzhou 510515, P.R. China
| | - Jianping Lu
- Department of Gastroenterology, Guangdong Provincial Key Laboratory of Gastroenterology, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, Guangzhou 510515, P.R. China
| | - Yuning Chen
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, Guangzhou 510515, P.R. China
| | - Guangyao Huang
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, Guangzhou 510515, P.R. China
| | - Miaojia Yan
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, Guangzhou 510515, P.R. China
| | - Xiaodan Ma
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, Guangzhou 510515, P.R. China
| | - Guoxin Li
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, Guangzhou 510515, P.R. China
- Corresponding author
| | - Gang Chen
- Department of Pathology, Fujian Provincial Key Laboratory of Translational Cancer Medicine, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou 350014, P.R. China
- Corresponding author
| | - Jun Yan
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, Guangzhou 510515, P.R. China
- Corresponding author
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Prognostic value of pre-treatment FDG PET/CT SUVmax for metastatic lesions in de novo metastatic nasopharyngeal carcinoma following chemotherapy and locoregional radiotherapy. Cancer Imaging 2023; 23:21. [PMID: 36829263 PMCID: PMC9960210 DOI: 10.1186/s40644-023-00536-z] [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: 12/28/2022] [Accepted: 02/14/2023] [Indexed: 02/26/2023] Open
Abstract
BACKGROUND To explore the prognostic role of FDG PET/CT maximal standard uptake values of metastatic lesions (SUVmax-M) in patients with de novo metastatic nasopharyngeal carcinoma (mNPC) following palliative chemotherapy and locoregional radiotherapy (LRRT). METHODS We retrospectively collected the information of 86 eligible patients between Jan 2012 and Oct 2020. All the parameters involving SUVmax and serum lactate dehydrogenase (LDH) at diagnosis were evaluated and cutoff values were determined by the maximum log-rank statistic method. The multivariate analysis was performed using Cox proportional hazards regression to identify the independent prognostic factors associated with overall survival (OS). All estimated survival rates were conducted with Kaplan-Meier method. RESULTS Median survival and progression time in the cohort were 38.2 and 13.9 months, respectively. The univariable analysis showed that male, number of metastatic sites ≥ 4, presence of liver, serum LDH ≥ 229, SUVmax-M ≥ 10, SUVmax-M-sum ≥ 10, and SUVmax-M-mean ≥ 8.8 were significant prognostic factors. Five variables were identified after LASSO regression and entered into the multivariate analysis. Furthermore, liver involvement (P = 0.039), elevated LDH (≥ 229) (P = 0.05) and higher SUVmax-M (≥ 10) (P = 0.004) were significantly associated with worse OS. CONCLUSION The high SUVmax of metastatic lesions (≥ 10), liver involvement, and elevated serum LDH (≥ 229) at diagnosis could independently predict poor survival for de novo mNPC patients treated with palliative chemotherapy following LRRT.
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Odera DO, Tuju J, Mwai K, Nkumama IN, Fürle K, Chege T, Kimathi R, Diehl S, Musasia FK, Rosenkranz M, Njuguna P, Hamaluba M, Kapulu MC, Frank R, Osier FHA, Abdi AI, Chi PC, de Laurent Z, Jao I, Kamuya D, Kamuyu G, Makale J, Murungi L, Musyoki J, Muthui M, Mwacharo J, Kariuki S, Mwanga D, Mwongeli J, Ndungu F, Njue M, Nyangweso G, Kimani D, Ngoi JM, Musembi J, Ngoto O, Otieno E, Ooko M, Shangala J, Wambua J, Mohammed KS, Omuoyo D, Mosobo M, Kibinge N, Kinyanjui S, Bejon P, Lowe B, Marsh K, Marsh V, Abebe Y, Billingsley PF, Sim BKL, Hoffman SL, James ER, Richie TL, Audi A, Olewe F, Oloo J, Ongecha J, Ongas MO, Koskei N, Bull PC, Hodgson SH, Kivisi C, Imwong M, Murphy SC, Ogutu B, Tarning J, Winterberg M, Williams TN. Anti-merozoite antibodies induce natural killer cell effector function and are associated with immunity against malaria. Sci Transl Med 2023; 15:eabn5993. [PMID: 36753561 DOI: 10.1126/scitranslmed.abn5993] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
Abstract
Natural killer (NK) cells are potent immune effectors that can be activated via antibody-mediated Fc receptor engagement. Using multiparameter flow cytometry, we found that NK cells degranulate and release IFN-γ upon stimulation with antibody-opsonized Plasmodium falciparum merozoites. Antibody-dependent NK (Ab-NK) activity was largely strain transcending and enhanced invasion inhibition into erythrocytes. Ab-NK was associated with the successful control of parasitemia after experimental malaria challenge in African adults. In an independent cohort study in children, Ab-NK increased with age, was boosted by concurrent P. falciparum infections, and was associated with a lower risk of clinical episodes of malaria. Nine of the 14 vaccine candidates tested induced Ab-NK, including some less well-characterized antigens: P41, P113, MSP11, RHOPH3, and Pf_11363200. These data highlight an important role of Ab-NK activity in immunity against malaria and provide a potential mechanism for evaluating vaccine candidates.
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Affiliation(s)
- Dennis O Odera
- Centre of Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany.,Centre for Geographic Medicine Research (Coast), Kenya Medical Research Institute-Wellcome Trust Research Programme, Kilifi, Kenya
| | - James Tuju
- Centre for Geographic Medicine Research (Coast), Kenya Medical Research Institute-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Kennedy Mwai
- Centre for Geographic Medicine Research (Coast), Kenya Medical Research Institute-Wellcome Trust Research Programme, Kilifi, Kenya.,Epidemiology and Biostatistics Division, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa
| | - Irene N Nkumama
- Centre of Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany
| | - Kristin Fürle
- Centre of Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany
| | - Timothy Chege
- Centre for Geographic Medicine Research (Coast), Kenya Medical Research Institute-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Rinter Kimathi
- Centre for Geographic Medicine Research (Coast), Kenya Medical Research Institute-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Stefan Diehl
- Centre of Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany
| | - Fauzia K Musasia
- Centre of Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany
| | - Micha Rosenkranz
- Centre of Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany
| | - Patricia Njuguna
- Centre for Geographic Medicine Research (Coast), Kenya Medical Research Institute-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Mainga Hamaluba
- Centre for Geographic Medicine Research (Coast), Kenya Medical Research Institute-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Melissa C Kapulu
- Centre for Geographic Medicine Research (Coast), Kenya Medical Research Institute-Wellcome Trust Research Programme, Kilifi, Kenya
| | - Roland Frank
- Centre of Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany
| | | | - Faith H A Osier
- Centre of Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany.,Centre for Geographic Medicine Research (Coast), Kenya Medical Research Institute-Wellcome Trust Research Programme, Kilifi, Kenya.,Department of Life Sciences, Imperial College London, UK
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26
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He K, Liu X, Yang Z. Development and Validation of a Vascular Endothelial Growth Factor A-associated Prognostic Model for Unresectable Hepatocellular Carcinoma. J Hepatocell Carcinoma 2023; 10:139-156. [PMID: 36777498 PMCID: PMC9910209 DOI: 10.2147/jhc.s399299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 01/26/2023] [Indexed: 02/05/2023] Open
Abstract
Purpose High serum vascular endothelial growth factor (VEGF) levels have been identified as an independent risk factor for hepatocellular carcinoma (HCC). We aimed to construct a VEGF-included prognostic model to accurately perform individualized predictions of survival probability for patients with unresectable HCC. Patients and Methods From October 2018 to March 2021, 182 consecutive newly diagnosed patients with unresectable HCC were retrospectively enrolled. Baseline serum VEGF-A and other characteristics were collected for all patients. Univariate Cox regression analysis and LASSO regression model were applied to develop the prognostic model, enhanced bootstrap method with 100 replicates was performed to validate its discrimination and calibration. We compared the final model with China Liver Cancer (CNLC) stage, American Joint Committee on Cancer (AJCC) stage, Barcelona Clinic Liver Cancer (BCLC) stage, and the model without the "VEGF". Finally, the established model was stratified by age. Results The VEGF-associated prognostic model we established has high accuracy with an overall C-index of 0.7892 after correction for optimistic estimates. The area under the curve (AUC) of the time-dependent receiver operating characteristic (ROC) curves at 6-month, 1-year, and 2-year after correction were 0.843, 0.860, 0.833, respectively, and the calibration of the model was 0.1153, 0.1514, and 0.1711, respectively. The final model showed significant improvement in predicting OS when compared to the other models according to Harrell's C-index, The AUC of the time-dependent ROC, area under the decision curve analysis (AUDC), integrated discrimination improvement (IDI), and continuous net reclassification index (NRI). Conclusion The VEGF-associated prognostic model may help to predict the survival probabilities of HCC patients with favorable performance and discrimination. However, further validation is required since we only verified this model using internal but not external data.
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Affiliation(s)
- Kun He
- Department of Hepatobiliary Surgery, Xijing Hospital, Fourth Military Medical University, Xi’an, People’s Republic of China
| | - Xinyu Liu
- Department of Hepatobiliary Surgery, Xijing Hospital, Fourth Military Medical University, Xi’an, People’s Republic of China
| | - Zelong Yang
- Department of Hepatobiliary Surgery, Xijing Hospital, Fourth Military Medical University, Xi’an, People’s Republic of China,Correspondence: Zelong Yang, Department of Hepatobiliary Surgery, Xijing Hospital, Fourth Military Medical University, No. 15, Changle West Road, Xi’an, People’s Republic of China, Tel +86 17795714179, Email
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Romani C, Lorini L, Bozzola A, Bignotti E, Tomasoni M, Ardighieri L, Bugatti M, Battocchio S, Ravaggi A, Tomasini D, Ravanelli M, Gurizzan C, Lombardi D, Mattavelli D, Calza S, Piazza C, Bossi P. Functional profiles of curatively treated adenoid cystic carcinoma unveil prognostic features and potentially targetable pathways. Sci Rep 2023; 13:1809. [PMID: 36720951 PMCID: PMC9889376 DOI: 10.1038/s41598-023-28901-9] [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: 09/29/2022] [Accepted: 01/27/2023] [Indexed: 02/02/2023] Open
Abstract
Adenoid cystic carcinoma (ACC) of salivary gland is a slowly growing tumor showing a propensity for delayed recurrence, with decreased survival rates. The identification of poor prognosis patients may help in defining molecular-based targeted strategies in this rare disease orphan of new treatments. Through a gene expression microarray-based approach followed by GSE functional analysis the expression profile of 46 primary untreated ACC samples and of ACC (h-TERT) tumor cells was analyzed. Patients who experienced early relapse showed enrichment in proliferation-related gene sets, including the G2-M checkpoint, E2F and myc targets, and in gene sets related to IFN signaling and aberrant proteostasis (FDR < 0.1), indicating increased mitotic and transcriptional activity in aggressive ACC. Similar functions were enriched in ACC samples classified by immunohistochemical staining as p63-negative, which exhibited increased protein burden and activation of pro-survival stress response pathways compared to p63-positive tumors. Compared to ACC tissues, ACC (h-TERT) cells share transcriptional features of aggressive p63-negative tumors. These data suggest association of specific pathway alterations with histopathological features of ACC, as recapitulated by p63 testing in patient prognostic stratification, anticipating new avenues for therapeutic intervention.
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Affiliation(s)
- Chiara Romani
- Angelo Nocivelli Institute of Molecular Medicine, University of Brescia and ASST Spedali Civili di Brescia, Brescia, Italy.,Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy
| | - Luigi Lorini
- Medical Oncology Unit, ASST Spedali Civili di Brescia, Brescia, Italy
| | - Anna Bozzola
- Department of Pathology, ASST Spedali Civili di Brescia, Brescia, Italy
| | - Eliana Bignotti
- Angelo Nocivelli Institute of Molecular Medicine, University of Brescia and ASST Spedali Civili di Brescia, Brescia, Italy
| | - Michele Tomasoni
- Unit of Otorhinolaryngology-Head and Neck Surgery, ASST Spedali Civili di Brescia, Brescia, Italy
| | - Laura Ardighieri
- Department of Pathology, ASST Spedali Civili di Brescia, Brescia, Italy
| | - Mattia Bugatti
- Department of Pathology, ASST Spedali Civili di Brescia, Brescia, Italy
| | | | - Antonella Ravaggi
- Angelo Nocivelli Institute of Molecular Medicine, University of Brescia and ASST Spedali Civili di Brescia, Brescia, Italy
| | - Davide Tomasini
- Department of Radiation Oncology, ASST Spedali Civili di Brescia, Brescia, Italy
| | - Marco Ravanelli
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy
| | - Cristina Gurizzan
- Medical Oncology Unit, ASST Spedali Civili di Brescia, Brescia, Italy
| | - Davide Lombardi
- Unit of Otorhinolaryngology-Head and Neck Surgery, ASST Spedali Civili di Brescia, Brescia, Italy
| | - Davide Mattavelli
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy.,Unit of Otorhinolaryngology-Head and Neck Surgery, ASST Spedali Civili di Brescia, Brescia, Italy
| | - Stefano Calza
- Unit of Biostatistics and Bioinformatics, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Cesare Piazza
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy.,Unit of Otorhinolaryngology-Head and Neck Surgery, ASST Spedali Civili di Brescia, Brescia, Italy
| | - Paolo Bossi
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy. .,Medical Oncology Unit, ASST Spedali Civili di Brescia, Brescia, Italy.
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Arseni L, Sharma R, Mack N, Nagalla D, Ohl S, Hielscher T, Singhal M, Pilz R, Augustin H, Sandhoff R, Herold-Mende C, Tews B, Lichter P, Seiffert M. Sphingosine-1-Phosphate Recruits Macrophages and Microglia and Induces a Pro-Tumorigenic Phenotype That Favors Glioma Progression. Cancers (Basel) 2023; 15:cancers15020479. [PMID: 36672428 PMCID: PMC9856301 DOI: 10.3390/cancers15020479] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 01/05/2023] [Accepted: 01/10/2023] [Indexed: 01/13/2023] Open
Abstract
Glioblastoma is the most aggressive brain tumor in adults. Treatment failure is predominantly caused by its high invasiveness and its ability to induce a supportive microenvironment. As part of this, a major role for tumor-associated macrophages/microglia (TAMs) in glioblastoma development was recognized. Phospholipids are important players in various fundamental biological processes, including tumor-stroma crosstalk, and the bioactive lipid sphingosine-1-phosphate (S1P) has been linked to glioblastoma cell proliferation, invasion, and survival. Despite the urgent need for better therapeutic approaches, novel strategies targeting sphingolipids in glioblastoma are still poorly explored. Here, we showed that higher amounts of S1P secreted by glioma cells are responsible for an active recruitment of TAMs, mediated by S1P receptor (S1PR) signaling through the modulation of Rac1/RhoA. This resulted in increased infiltration of TAMs in the tumor, which, in turn, triggered their pro-tumorigenic phenotype through the inhibition of NFkB-mediated inflammation. Gene set enrichment analyses showed that such an anti-inflammatory microenvironment correlated with shorter survival of glioblastoma patients. Inhibition of S1P restored a pro-inflammatory phenotype in TAMs and resulted in increased survival of tumor-bearing mice. Taken together, our results establish a crucial role for S1P in fine-tuning the crosstalk between glioma and infiltrating TAMs, thus pointing to the S1P-S1PR axis as an attractive target for glioma treatment.
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Affiliation(s)
- Lavinia Arseni
- Division of Molecular Genetics, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Correspondence: (L.A.); (M.S.)
| | - Rakesh Sharma
- Schaller Research Group at the University of Heidelberg and the German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Molecular Mechanisms of Tumor Invasion, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Faculty of Biosciences, Heidelberg University, 69120 Heidelberg, Germany
| | - Norman Mack
- Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, 69120 Heidelberg, Germany
| | - Deepthi Nagalla
- Schaller Research Group at the University of Heidelberg and the German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Molecular Mechanisms of Tumor Invasion, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Sibylle Ohl
- Division of Molecular Genetics, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Thomas Hielscher
- Division of Biostatistics, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Mahak Singhal
- European Center for Angioscience (ECAS), Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany
- Division of Vascular Oncology and Metastasis, German Cancer Research Center (DKFZ)-ZMBH Alliance, 69120 Heidelberg, Germany
| | - Robert Pilz
- Faculty of Biosciences, Heidelberg University, 69120 Heidelberg, Germany
- Lipid Pathobiochemistry, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Hellmut Augustin
- European Center for Angioscience (ECAS), Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany
- Division of Vascular Oncology and Metastasis, German Cancer Research Center (DKFZ)-ZMBH Alliance, 69120 Heidelberg, Germany
| | - Roger Sandhoff
- Lipid Pathobiochemistry, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Christel Herold-Mende
- Department of Neurosurgery, Division of Experimental Neurosurgery, Heidelberg University Hospital, 69120 Heidelberg, Germany
| | - Björn Tews
- Schaller Research Group at the University of Heidelberg and the German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Molecular Mechanisms of Tumor Invasion, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Peter Lichter
- Division of Molecular Genetics, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Martina Seiffert
- Division of Molecular Genetics, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Correspondence: (L.A.); (M.S.)
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Determinants of activity and efficacy of anti-PD1/PD-L1 therapy in patients with advanced solid tumors recruited in a clinical trials unit: a longitudinal prospective biomarker-based study. Cancer Immunol Immunother 2023; 72:1709-1723. [PMID: 36625938 DOI: 10.1007/s00262-022-03360-9] [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: 09/06/2022] [Accepted: 12/25/2022] [Indexed: 01/11/2023]
Abstract
Immune-checkpoint inhibitors (ICI) have revolutionized the therapeutic landscape of cancer. However, optimal patient selection is still an unmet need. One-hundred-forty-six patients with metastatic cancer candidates to ICI at the Hospital Clinic of Barcelona Clinical Trials Unit were prospectively recruited in this observational study. Blood samples were collected at different timepoints, baseline LIPI score calculated and pre-ICI archived tissues retrieved to evaluate PD-L1, tumor-infiltrating lymphocytes (TILs) and PD1 mRNA levels. Tumor assessments were centrally reviewed by RECIST 1.1 criteria. Associations with overall response rates (ORR), durable clinical benefit (DCB), progression-free survival (PFS) and overall survival (OS) were performed with univariable/multivariable logistic and Cox regressions, where appropriate. At a median follow-up of 26.9 months, median PFS and OS were 2.7 and 12.9 months. Response rates were 17.8% with duration of response (DOR) of 4.4 months. LIPI score was independently associated with PFS (p = 0.025) and OS (p < 0.001). Immunotherapy-naïve status was independently associated with better PFS (p = 0.005). Time-to-best response (TTBR) and ORR (p < 0.001 both) were associated with better OS at univariate analysis. PFS and DOR were moderately correlated with OS (p < 0.001 both). A PD-L1 10% cut-off detected worse/best responders in terms of ORR (univariate p = 0.011, multivariate p = 0.028) and DCB (univariate p = 0.043). PD1 mRNA levels were strikingly associated to complete responses (p = 0.021). To resume, in our prospective observational pan-cancer study, baseline LIPI score, immunotherapy-naïve status, cancer type and RT before starting ICI were the most relevant clinical factors independently correlated with immunotherapy outcomes. Longer TTBR seemed to associate with better survival, while PD1 mRNA and PD-L1 protein levels might be tumor-agnostic predictive factors of response to ICI and should be furtherly explored.
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He K, Yang Z, Liu X, Yang Y, Song W, Wang S, Chen Y. Identification of Potential Predictors of Prognosis and Sorafenib-Associated Survival Benefits in Patients with Hepatocellular Carcinoma after Transcatheter Arterial Chemoembolization. Curr Oncol 2022; 30:476-491. [PMID: 36661687 PMCID: PMC9857819 DOI: 10.3390/curroncol30010038] [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: 11/28/2022] [Revised: 12/22/2022] [Accepted: 12/26/2022] [Indexed: 12/31/2022] Open
Abstract
Some studies have shown that sorafenib could significantly prolong the overall survival of patients with unresectable hepatocellular carcinoma treated with transcatheter arterial chemoembolization (TACE). However, other studies revealed that patients had no access to sorafenib-related survival benefits after TACE. To identify the predictive biomarkers of therapeutic efficacy of sorafenib, we explored the potential predictive value of vascular endothelial growth factor (VEGF) and other clinical variables for survival benefits from sorafenib in patients treated with TACE previously. The results demonstrated that patients with tumor size > 7 cm or total bilirubin ≤ 17.3 μmol/L showed significant survival benefits from sorafenib after TACE treatment compared with those with tumor size ≤ 7 cm or total bilirubin > 17.3 μmol/L. Meanwhile, patients with VEGF > 131.09 pg/mL may obtain sorafenib-associated survival benefits after TACE when compared to those with VEGF ≤ 131.09 pg/mL, which needs further confirmation. The abovementioned results are helpful to confirm the specific population who are sensitive to targeted therapy. (1) Background: VEGF plays a crucial role in modulating proliferation and metastasis in HCC. We aimed to explore the relationship between VEGF and the prognosis, as well as the mortality risk of HCC patients who received TACE, and whether it and other variables could be considered as potential biomarkers for predicting the benefits from sorafenib. (2) Method: A total of 230 consecutive newly diagnosed patients with unresectable HCC treated with either TACE or TACE−sorafenib were collected retrospectively. Cox regression analyses were performed to evaluate the prognostic value of VEGF. Furthermore, restricted cubic splines were fitted to assess the nonlinear associations between VEGF and OS, and the threshold effect analysis was subsequently performed. Lastly, the potential factors for predicting the survival benefits from sorafenib after the TACE procedure were identified using the Cox proportional hazard model with an interaction term. (3) Results: VEGF was recognized as an independent prognostic factor for OS in the TACE alone cohort (HR = 3.237, p = 0.013). A nonlinear relationship was observed between VEGF and OS in HCC patients with TACE administration after adjustment for confounders (p for nonlinearity = 0.030); the mortality risk increased with increasing the baseline VEGF before the inflection point, and the HR for death was 1.008. There was no significant interaction between the VEGF levels and treatment modality (p for interaction = 0.233), and further studies are needed to identify its predictive value on the efficacy of sorafenib. Patients with tumor size > 7 cm or total bilirubin ≤ 17.3 μmol/L derived significant sorafenib-related benefits in OS when compared to those with tumor size ≤ 7 cm or total bilirubin > 17.3 μmol/L (p for interaction = 0.004 and 0.031, respectively). (4) Conclusions: Within a certain concentration range, elevated baseline VEGF meant an increased risk of death in HCC patients treated with TACE. Significant improvements in OS associated with sorafenib were observed in patients with higher tumor size and lower total bilirubin after TACE treatment.
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Affiliation(s)
| | | | | | | | | | | | - Yong Chen
- Department of Hepatobiliary Surgery, Xijing Hospital, Fourth Military Medical University, Xi’an 710032, China
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A Novel Inflammatory and Nutritional Prognostic Scoring System for Nonpathological Complete Response Breast Cancer Patients Undergoing Neoadjuvant Chemotherapy. DISEASE MARKERS 2022; 2022:8044550. [PMID: 36569222 PMCID: PMC9788886 DOI: 10.1155/2022/8044550] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Revised: 11/08/2022] [Accepted: 11/22/2022] [Indexed: 12/23/2022]
Abstract
Background It has been demonstrated that inflammatory and nutritional variables are associated with poor breast cancer survival. However, some studies do not include these variables due to missing data. To investigate the predictive potential of the INPS, we constructed a novel inflammatory-nutritional prognostic scoring (INPS) system with machine learning. Methods This retrospective analysis included 249 patients with malignant breast tumors undergoing neoadjuvant chemotherapy (NAC). After comparing seven potent machine learning models, the best model, Xgboost, was applied to construct an INPS system. K-M survival curves and the log-rank test were employed to determine OS and DFS. Univariate and multivariate analyses were carried out with the Cox regression model. Additionally, we compared the predictive power of INPS, inflammatory, and standard nutritional variables using the Z test. Results After comparing seven machine learning models, it was determined that the XGBoost model had the best OS and DFS performance (AUC = 0.865 and 0.771, respectively). For overall survival (OS, cutoff value = 0.3917) and disease-free survival (cutoff value = 0.4896), all patients were divided into two groups by the INPS. Those with low INPS had higher 5-year OS and DFS rates (77.2% vs. 50.0%, P < 0.0001; and 59.6% vs. 32.1%, P < 0.0001, respectively) than patients with high INPS. For OS and DFS, the INPS exhibited the highest AUC compared to the other inflammatory and nutritional variables (AUC = 0.615, P = 0.0003; AUC = 0.596, P = 0.0003, respectively). Conclusion The INPS was an independent predictor of OS and DFS and exhibited better predictive ability than BMI, PNI, and MLR. For patients undergoing NAC for nonpCR breast cancer, INPS was a crucial and comprehensive biomarker. It could also forecast individual survival in breast cancer patients with low HER-2 expression.
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Changes in ALBI Score and PIVKA-II within Three Months after Commencing Atezolizumab Plus Bevacizumab Treatment Affect Overall Survival in Patients with Unresectable Hepatocellular Carcinoma. Cancers (Basel) 2022; 14:cancers14246089. [PMID: 36551574 PMCID: PMC9776967 DOI: 10.3390/cancers14246089] [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: 11/24/2022] [Accepted: 12/08/2022] [Indexed: 12/14/2022] Open
Abstract
In this study, we aimed to evaluate the efficacy and safety of atezolizumab plus bevacizumab (Atez/Bev) treatment for unresectable hepatocellular carcinoma (HCC) and to analyze the factors affecting overall survival (OS). A total of 69 patients who received Atez/Bev at our institutions for unresectable HCC were enrolled in this study. OS and progression-free survival (PFS) were estimated using the Kaplan−Meier method. Changes in clinical indicators within 3 months were defined as delta (∆) values, and the Cox proportional hazards model was used to identify which ∆ values affected OS. The median OS, PFS, objective response rate, and disease control rate were 12.5 months, 5.4 months, 23.8%, and 71.4%, respectively. During the observational period, 62 patients (92.5%) experienced AEs (hypertension (33.3%) and general fatigue), and 27 patients (47.4%) experienced grade ≥ 3 AEs (hypertension (10.1%) and anemia (7.2%)). There was a significant deterioration in the albumin-bilirubin (ALBI) score (−2.22 to −1.97; p < 0.001), and a reduction in PIVKA-II levels (32,458 to 11,584 mAU/mL; p = 0.040) within 3 months after commencing Atez/Bev. Both the worsening ∆ ALBI score (p = 0.005) and increasing ∆ PIVKA-II (p = 0.049) were significantly associated with the OS of patients.
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Prognostic value of a modified systemic inflammation score in breast cancer patients who underwent neoadjuvant chemotherapy. BMC Cancer 2022; 22:1249. [PMID: 36460981 PMCID: PMC9717545 DOI: 10.1186/s12885-022-10291-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 11/07/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND AND PURPOSE The modified systemic inflammation score (mSIS) system, which is constructed based on the neutrophil to lymphocyte ratio (NLR) and albumin (Alb), has not been applied to evaluate the prognosis of malignant breast cancer patients who underwent neoadjuvant chemotherapy (NAC). The present study aimed to explore the relationship between the mSIS and overall survival (OS), disease-free survival (DFS) and pathological complete response (pCR). METHODS A total of 305 malignant breast tumor patients who underwent NAC were incorporated into this retrospective analysis. We determined OS and DFS using K-M survival curves and the log-rank test. The relationship between the mSIS and OS and DFS was evaluated by a Cox regression model. A nomogram was constructed based on Cox regression analysis. RESULTS Patients in the mSIS low-risk group had better 5- and 8-year OS rates than those in the mSIS high-risk group (59.8% vs. 77.0%; 50.1% vs. 67.7%; X2 = 8.5, P = 0.0035, respectively). Patients in the mSIS (1 + 2 score) + pCR subgroup had the highest 5- and 8-year OS and disease-free survival (DFS) rates (OS: 55.0% vs. 75.7% vs. 84.8, 42.8% vs. 65.7% vs. 79.8%, X2 = 16.6, P = 0.00025; DFS: 38.8% vs. 54.7% vs. 76.3%, 33.3% vs. 42.3 vs. 72.1%, X2 = 12.4, P = 0.002, respectively). Based on the mSIS, clinical T stage and pCR results, the nomogram had better predictive ability than the clinical TNM stage, NLR and Alb. CONCLUSIONS mSIS is a promising prognostic tool for malignant breast tumor patients who underwent NAC, and the combination of mSIS and pCR is helpful in enhancing the ability to predict a pCR.
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Liu J, Yu F, Liu Z, Wang X, Li J. A Robust Prognostic Signature of Tumor Microenvironment in Colorectal Cancer. Cancer Biother Radiopharm 2022; 37:963-975. [PMID: 34551265 DOI: 10.1089/cbr.2021.0171] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Background: Colorectal cancer (CRC) has been a major public health problem. Tumor microenvironment (TME) greatly contributes to the heterogeneity of CRC and is crucial for the regulation of CRC progression. The authors' study aimed to develop a robust prognostic signature for CRC patients based on TME-related genes. Materials and Methods: Gene expression data and clinicopathologic information of CRC patients were collected from Gene Expression Omnibus and The Cancer Genome Atlas databases. TME-related genes with prognostic value were identified by Cox regression and bootstrap method. The authors used the prognostic genes to construct a robust prognostic model using the least absolute shrinkage and selection operator (LASSO) regression method. The immune and stromal cell abundance of CRC samples were estimated by a microenvironment cell populations-counter method. Results: Based on a training set that comprised 893 CRC samples and 4775 TME-related genes, they established a prognostic model consisting of 25 TME-related genes. With specific risk score formulae, the prognostic model divided CRC patients into high-risk and low-risk subgroups with significantly different survival, which were further confirmed in validation cohorts consisting of other 473 CRC cases or subpopulation of specific stages. The result of time-dependent receiver operating characteristic analysis demonstrated strong predictive accuracy of the prognostic model both in training and validation cohorts. Multivariate Cox regression analysis showed that the 25-gene signature was an independent prognostic factor for overall survival, which was validated through clinical subgroups analysis. Further analysis revealed that CRC samples of high-risk group was abundant of stromal-relevant processes and had a significantly higher proportion of fibroblasts and endothelial cells infiltration. Conclusion: The authors established a robust prognostic signature of 25 TME-related genes which may be an effective tool for prognostic prediction and CRC patient stratification to assist in making treatment decisions.
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Affiliation(s)
- Jingwen Liu
- Department of Pathology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, P.R. China.,Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, P.R. China.,RNA Biomedical Institute, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, P.R. China
| | - Fei Yu
- Emergency Department, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, P.R. China
| | - Zhao Liu
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Xiaojing Wang
- Clinical Center of Human Genomic Research, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China.,Department of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China
| | - Jianming Li
- Department of Pathology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, P.R. China.,Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, P.R. China.,RNA Biomedical Institute, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, P.R. China
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Chen D, Fu M, Chi L, Lin L, Cheng J, Xue W, Long C, Jiang W, Dong X, Sui J, Lin D, Lu J, Zhuo S, Liu S, Li G, Chen G, Yan J. Prognostic and predictive value of a pathomics signature in gastric cancer. Nat Commun 2022; 13:6903. [PMID: 36371443 PMCID: PMC9653436 DOI: 10.1038/s41467-022-34703-w] [Citation(s) in RCA: 39] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 11/03/2022] [Indexed: 11/13/2022] Open
Abstract
The current tumour-node-metastasis (TNM) staging system alone cannot provide adequate information for prognosis and adjuvant chemotherapy benefits in patients with gastric cancer (GC). Pathomics, which is based on the development of digital pathology, is an emerging field that might improve clinical management. Herein, we propose a pathomics signature (PSGC) that is derived from multiple pathomics features of haematoxylin and eosin-stained slides. We find that the PSGC is an independent predictor of prognosis. A nomogram incorporating the PSGC and TNM staging system shows significantly improved accuracy in predicting the prognosis compared to the TNM staging system alone. Moreover, in stage II and III GC patients with a low PSGC (but not in those with a high PSGC), satisfactory chemotherapy benefits are observed. Therefore, the PSGC could serve as a prognostic predictor in patients with GC and might be a potential predictive indicator for decision-making regarding adjuvant chemotherapy.
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Affiliation(s)
- Dexin Chen
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, 510515, Guangzhou, P.R. China
- School of Science, Jimei University, 361021, Xiamen, P.R. China
| | - Meiting Fu
- Department of Gastroenterology, Guangdong Provincial Key Laboratory of Gastroenterology, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, 510515, Guangzhou, P.R. China
| | - Liangjie Chi
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, 510515, Guangzhou, P.R. China
- Department of Gastrointestinal Surgery, Fujian Provincial Hospital, Teaching Hospital of Fujian Medical University, 350001, Fuzhou, P.R. China
| | - Liyan Lin
- Department of Pathology, Fujian Key Laboratory of Translational Cancer Medicine, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, 350014, Fuzhou, P.R. China
| | - Jiaxin Cheng
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, 510515, Guangzhou, P.R. China
| | - Weisong Xue
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, 510515, Guangzhou, P.R. China
| | - Chenyan Long
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, 510515, Guangzhou, P.R. China
| | - Wei Jiang
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, 510515, Guangzhou, P.R. China
| | - Xiaoyu Dong
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, 510515, Guangzhou, P.R. China
| | - Jian Sui
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, 510515, Guangzhou, P.R. China
- Department of Gastrointestinal Surgery, Fujian Provincial Hospital, Teaching Hospital of Fujian Medical University, 350001, Fuzhou, P.R. China
| | - Dajia Lin
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, 510515, Guangzhou, P.R. China
- Department of Gastrointestinal Surgery, Fujian Provincial Hospital, Teaching Hospital of Fujian Medical University, 350001, Fuzhou, P.R. China
| | - Jianping Lu
- Department of Pathology, Fujian Key Laboratory of Translational Cancer Medicine, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, 350014, Fuzhou, P.R. China
| | - Shuangmu Zhuo
- School of Science, Jimei University, 361021, Xiamen, P.R. China.
| | - Side Liu
- Department of Gastroenterology, Guangdong Provincial Key Laboratory of Gastroenterology, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, 510515, Guangzhou, P.R. China.
| | - Guoxin Li
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, 510515, Guangzhou, P.R. China.
| | - Gang Chen
- Department of Pathology, Fujian Key Laboratory of Translational Cancer Medicine, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, 350014, Fuzhou, P.R. China.
| | - Jun Yan
- Department of General Surgery, Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Nanfang Hospital, The First School of Clinical Medicine, Southern Medical University, 510515, Guangzhou, P.R. China.
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Lin F, Xia W, Chen M, Jiang T, Guo J, Ouyang Y, Sun H, Chen X, Deng W, Guo L, Lin H. A Prognostic Model Based on Nutritional Risk Index in Operative Breast Cancer. Nutrients 2022; 14:nu14183783. [PMID: 36145159 PMCID: PMC9502262 DOI: 10.3390/nu14183783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 09/03/2022] [Accepted: 09/09/2022] [Indexed: 11/16/2022] Open
Abstract
Background: The nutritional risk index (NRI) is an independent prognostic factor for overall survival in various cancers, but its prognostic value in breast cancer remains unclear. This study aimed to explore the relationship between the NRI and overall survival (OS) in breast cancer and to develop a predictive nomogram. Methods: We retrospectively enrolled 1347 breast cancer patients who underwent mastectomy or lumpectomy between January 2011 and November 2012. Using a cutoff value of 110.59, patients were divided into a high-NRI group and a low-NRI group. OS was compared between the two groups. Clinicopathological factors independently associated with survival were used to construct a predictive nomogram. Results: Of the 1347 patients, 534 patients were classified as high NRI and 813 as low NRI. OS was significantly shorter in low-NRI patients. The 3- and 5-year OS rates were 87.3% and 73.4%, respectively, in the high-NRI group whereas they were 83.0% and 67.2%, respectively, in the low-NRI group. Cox regression analysis found that histopathological type, tumor size, lymph node status, progesterone receptor (PR) status, Ki-67, and NRI were independently associated with OS. Conclusions: NRI is an independent prognostic factor of OS in breast cancer patients. The proposed nomogram model may be a useful tool for individualized survival prediction.
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Huth KBS, Waldorp LJ, Luigjes J, Goudriaan AE, van Holst RJ, Marsman M. A Note on the Structural Change Test in Highly Parameterized Psychometric Models. PSYCHOMETRIKA 2022; 87:1064-1080. [PMID: 35103931 PMCID: PMC9433362 DOI: 10.1007/s11336-021-09834-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 12/13/2021] [Indexed: 06/14/2023]
Abstract
Equal parameter estimates across subgroups is a substantial requirement of statistical tests. Ignoring subgroup differences poses a threat to study replicability, model specification, and theory development. Structural change tests are a powerful statistical technique to assess parameter invariance. A core element of those tests is the empirical fluctuation process. In the case of parameter invariance, the fluctuation process asymptotically follows a Brownian bridge. This asymptotic assumption further provides the basis for inference. However, the empirical fluctuation process does not follow a Brownian bridge in small samples, and this situation is amplified in large psychometric models. Therefore, common methods of obtaining the sampling distribution are invalid and the structural change test becomes conservative. We discuss an alternative solution to obtaining the sampling distribution-permutation approaches. Permutation approaches estimate the sampling distribution through resampling of the dataset, avoiding distributional assumptions. Hereby, the tests power are improved. We conclude that the permutation alternative is superior to standard asymptotic approximations of the sampling distribution.
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Affiliation(s)
- K B S Huth
- Department of Psychology, University of Amsterdam, Nieuwe Achtergracht 129B, PO Box 15906, 1001 NK, Amsterdam, The Netherlands.
- Department of Psychiatry, Amsterdam University Medical Center, Amsterdam, The Netherlands.
- Centre for Urban Mental Health, Amsterdam, The Netherlands.
| | - L J Waldorp
- Department of Psychology, University of Amsterdam, Nieuwe Achtergracht 129B, PO Box 15906, 1001 NK, Amsterdam, The Netherlands
| | - J Luigjes
- Department of Psychiatry, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - A E Goudriaan
- Department of Psychiatry, Amsterdam University Medical Center, Amsterdam, The Netherlands
- Arkin Mental Health Institute, Amsterdam, The Netherlands
| | - R J van Holst
- Department of Psychiatry, Amsterdam University Medical Center, Amsterdam, The Netherlands
- Centre for Urban Mental Health, Amsterdam, The Netherlands
| | - M Marsman
- Department of Psychology, University of Amsterdam, Nieuwe Achtergracht 129B, PO Box 15906, 1001 NK, Amsterdam, The Netherlands
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Yan W, Ou X, Shen C, Hu C. The impact of interval between surgery and postoperative radiotherapy in major salivary gland carcinoma. JOURNAL OF THE NATIONAL CANCER CENTER 2022; 2:188-194. [PMID: 39036445 PMCID: PMC11256663 DOI: 10.1016/j.jncc.2022.06.001] [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: 02/21/2022] [Revised: 05/13/2022] [Accepted: 06/07/2022] [Indexed: 12/24/2022] Open
Abstract
Background Radiotherapy following primary operation is strongly recommended for salivary gland carcinomas (SGCs) with adverse features. The interval between surgery and the initiation of radiotherapy (SRT) varied and a prolonged SRT may cause failure of cancer treatment. However, the association of SRT with survival is unclear in major SGCs. Methods This retrospective study included a total of 346 patients who underwent radiotherapy after the primary operation from Fudan University Shanghai Cancer Center from 2005 to 2020. The best cutoff value of the SRT was determined by the maximum log-rank statistic method. The primary endpoint of the study was overall survival (OS). Correlations between variables and OS were conducted by the univariable analysis using the Log-rank method, and a multivariate Cox proportional hazards regression was performed to identify the independent prognostic factors associated with OS. The estimated survival rates were captured using the Kaplan-Meier method. Results With a median follow-up time of 70.31 months, the estimated 5-year OS, LRFS, and DMFS were 83.3%, 80.1%, and 75.9%, respectively. The cutoff value for SRT was 8.5 weeks, while age, T stage, N stage, perineural invasion (PNI), pathological aggression, chemotherapy, and SRT were associated with OS in the univariable analysis. The Cox regression analysis demonstrated that older age (P < 0.001), T3-4 tumors (P = 0.007), positive N stage (P < 0.001), pathological aggression (P = 0.014), and longer SRT (P = 0.009) were independent prognostic factors for major SGCs. Using the stratification model, we observed that delay in the SRT was associated with worse OS (P = 0.006) in the high-risk group, whereas no significant difference was observed in the low-risk subgroup (P = 0.61). Conclusions The delay in the initiation of postoperative radiotherapy may be a prognostic factor for patients with major SGCs. It was suggested that radiotherapy should be delivered within 8.5 weeks following the operation, especially for patients with ≥2 risk factors, including older age, high pathological aggression, T3-4 tumors, and positive N stage.
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Affiliation(s)
- Wenbin Yan
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Shanghai, China
| | - Xiaomin Ou
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Shanghai, China
| | - Chunying Shen
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Shanghai, China
| | - Chaosu Hu
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Shanghai, China
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39
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Yan W, Ou X, Shen C, Hu C. A nomogram involving immune-inflammation index for predicting distant metastasis-free survival of major salivary gland carcinoma following postoperative radiotherapy. Cancer Med 2022; 12:2772-2781. [PMID: 36052414 PMCID: PMC9939092 DOI: 10.1002/cam4.5167] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 07/23/2022] [Accepted: 07/24/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Postoperative radiotherapy (PORT) is beneficial in the improvement of local-regional control and overall survival (OS) for major salivary gland carcinomas (SGCs), and distant metastasis remained the main failure pattern. This study was designed to develop a nomogram model involving immune-inflammation index to predict distant metastasis-free survival (DMFS) of major SGCs. PATIENTS AND METHODS A total of 418 patients with major SGCs following PORT were randomly divided into a training (n = 334) and validation set (n = 84). The pre-radiotherapy neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) were calculated and transformed as continuous variables for every patient. Associations between DMFS and variables were performed by univariate and multivariable analysis using Log-rank and Cox regression methods. A nomogram was constructed based on the prognostic factors identified by the Cox hazards model. The decision curve analysis (DCA) was conducted with the training and validation set. RESULTS The estimated 3-, 5-, and 10-year DMFS were 79.4%, 71.8%, and 59.1%, respectively. The multivariate analysis revealed that age (p = 0.033), advanced T stage (p = 0.003), positive N stage (p < 0.001), high-risk pathology (p = 0.011), and high PLR (p = 0.001) were significantly associated with worse DMFS. The nomogram showed good calibration and discrimination in the training (AUC = 80.9) and validation set (AUC = 87.9). Furthermore, the DCA demonstrated favorable applicability, and a significant difference (p < 0.001) was observed for the DMFS between the subgroups based on the nomogram points. CONCLUSION The nomogram incorporating clinicopathological features and PLR presented accurate individual prediction for DMFS of the patients with major SGCs following PORT. Further external validation of the model is warranted for clinical utility.
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Affiliation(s)
- Wenbin Yan
- Department of Radiation OncologyFudan University Shanghai Cancer CenterShanghaiChina,Department of OncologyShanghai Medical CollegeShanghaiChina
| | - Xiaomin Ou
- Department of Radiation OncologyFudan University Shanghai Cancer CenterShanghaiChina,Department of OncologyShanghai Medical CollegeShanghaiChina
| | - Chunying Shen
- Department of Radiation OncologyFudan University Shanghai Cancer CenterShanghaiChina,Department of OncologyShanghai Medical CollegeShanghaiChina
| | - Chaosu Hu
- Department of Radiation OncologyFudan University Shanghai Cancer CenterShanghaiChina,Department of OncologyShanghai Medical CollegeShanghaiChina
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Yan W, Liu Y, Shen C, Yi J, Ou X, Hu C. Elevated preradiotherapy serum lactate dehydrogenase predicts distant metastasis for lymphoepithelial carcinoma of major salivary gland following postoperative radiotherapy. Head Neck 2022; 44:2660-2667. [DOI: 10.1002/hed.27173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 07/18/2022] [Accepted: 08/03/2022] [Indexed: 11/11/2022] Open
Affiliation(s)
- Wenbin Yan
- Department of Radiation Oncology Fudan University Shanghai Cancer Center Shanghai China
- Department of Oncology Shanghai Medical College Shanghai China
| | - Yang Liu
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Chunying Shen
- Department of Radiation Oncology Fudan University Shanghai Cancer Center Shanghai China
- Department of Oncology Shanghai Medical College Shanghai China
| | - Junlin Yi
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Xiaomin Ou
- Department of Radiation Oncology Fudan University Shanghai Cancer Center Shanghai China
- Department of Oncology Shanghai Medical College Shanghai China
| | - Chaosu Hu
- Department of Radiation Oncology Fudan University Shanghai Cancer Center Shanghai China
- Department of Oncology Shanghai Medical College Shanghai China
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Neutrophil-to-Lymphocyte Ratio as a Predictive Tool for Post-Operative Outcomes in Patients Undergoing Open Lower Extremity Revascularization Procedures. Ann Vasc Surg 2022; 87:155-163. [PMID: 35817380 DOI: 10.1016/j.avsg.2022.06.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 05/23/2022] [Accepted: 06/23/2022] [Indexed: 11/23/2022]
Abstract
INTRODUCTION Elevated neutrophil-to-lymphocyte ratio (NLR), a marker of systemic inflammation, has been shown to correlate with worse outcomes in patients undergoing vascular surgery. Limited data exists on the association of NLR and outcomes in patients undergoing lower extremity vascular surgery. We sought to investigate whether preoperative NLR correlates with outcomes in patients undergoing open lower extremity revascularization procedures. METHODS We conducted a retrospective analysis of a prospectively maintained database of patients who underwent open lower extremity revascularization procedures from January 2011 to January 2017 (N=535). Preoperative NLR was calculated within six months of surgery. Primary outcomes were major adverse limb event (MALE) or death. The maximally-ranked statistic method was used to determine the NLR cut-off point. Kaplan-Meier analyses of death and MALE and NLR were used to compare the groups by NLR cut-off point. We conducted a multivariate analysis of the association between NLR and mortality using Cox proportional hazard models, including confounding variables such as age, smoking status, and diabetes. P-values <0.05 were considered statistically significant. RESULTS 254 patients undergoing surgery from January 2011 to January 2013 were analyzed. The median NLR was 3.6 [IQR 2.5 - 6.7]. The analysis showed a negative correlation between elevated NLR and mortality (P<0.001), but not MALE (P=0.8). Controlling for multiple comorbidities including gender, age, smoking, BMI, diabetes, hyperlipidemia, hypertension, and infection, the NLR cut-off point was a significant independent predictor of mortality (P<0.0001), but not MALE (P=0.551). Elevated NLR was also correlated with statistically and clinically significant longer hospital stays (6.5 [IQR 3.0 - 12.8] days vs. 4.0 [IQR 2.0 - 8.0] days, P=0.027). CONCLUSION This study suggests that NLR is an independent predictor of mortality and hospital length of stay in patients undergoing open lower extremity revascularizations. Going forward, we plan to expand this study to include more patients and to compare NLR to other risk assessment tools.
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Survival-related indicators ALOX12B and SPRR1A are associated with DNA damage repair and tumor microenvironment status in HPV 16-negative head and neck squamous cell carcinoma patients. BMC Cancer 2022; 22:714. [PMID: 35768785 PMCID: PMC9241267 DOI: 10.1186/s12885-022-09722-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 05/30/2022] [Indexed: 12/24/2022] Open
Abstract
OBJECTIVES To investigate prognostic-related gene signature based on DNA damage repair and tumor microenvironment statue in human papillomavirus 16 negative (HPV16-) head and neck squamous cell carcinoma (HNSCC). METHODS For the RNA-sequence matrix in HPV16- HNSCC in the Cancer Genome Atlas (TCGA) cohort, the DNA damage response (DDR) and tumor microenvironment (TM) status of each patient sample was estimated by using the ssGSEA algorithm. Through bioinformatics analysis in DDR_high/TM_high (n = 311) and DDR_high/TM_low (n = 53) groups, a survival-related gene signature was selected in the TCGA cohort. Two independent external validation cohorts (GSE65858 (n = 210) and GSE41613 (n = 97)) with HPV16- HNSCC patients validated the gene signature. Correlations among the clinical-related hub differentially expressed genes (DEGs) and infiltrated immunocytes were explored with the TIMER2.0 server. Drug screening based on hub DEGs was performed using the CellMiner and GSCALite databases. The loss-of-function studies were used to evaluate the effect of screened survival-related gene on the motility of HPV- HNSCC cells in vitro. RESULTS A high DDR level (P = 0.025) and low TM score (P = 0.012) were independent risk factors for HPV16- HNSCC. Downregulated expression of ALOX12B or SPRR1A was associated with poor survival rate and advanced cancer stages. The pathway enrichment analysis showed the DDR_high/TM_low samples were enriched in glycosphingolipid biosynthesis-lacto and neolacto series, glutathione metabolism, platinum drug resistance, and ferroptosis pathways, while the DDR_high/TM_low samples were enriched in Th17 cell differentiation, Neutrophil extracellular trap formation, PD - L1 expression and PD - 1 checkpoint pathway in cancer. Notably, the expression of ALOX12B and SPRR1A were negatively correlated with cancer-associated fibroblasts (CAFs) infiltration and CAFs downstream effectors. Sensitivity to specific chemotherapy regimens can be derived from gene expressions. In addition, ALOX12B and SPRR1A expression was associated with the mRNA expression of insulin like growth factor 1 receptor (IGF1R), AKT serine/threonine kinase 1 (AKT1), mammalian target of rapamycin (MTOR), and eukaryotic translation initiation factor 4E binding protein 1 (EIF4EBP1) in HPV negative HNSCC. Down-regulation of ALOX12B promoted HPV- HNSCC cells migration and invasion in vitro. CONCLUSIONS ALOX12B and SPRR1A served as a gene signature for overall survival in HPV16- HNSCC patients, and correlated with the amount of infiltrated CAFs. The specific drug pattern was determined by the gene signature.
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A Novel Pseudogene Methylation Signature to Predict Temozolomide Outcome in Non-G-CIMP Glioblastomas. JOURNAL OF ONCOLOGY 2022; 2022:6345160. [PMID: 35712126 PMCID: PMC9194959 DOI: 10.1155/2022/6345160] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Revised: 03/29/2022] [Accepted: 04/12/2022] [Indexed: 01/21/2023]
Abstract
Objective Alterations in the methylation state of pseudogenes may serve as clinically useful biomarkers of glioblastomas (GBMs) that do not have glioma-CpG island methylator phenotype (G-CIMP). Methods Non-G-CIMP GBM datasets were included for evaluation, and a RISK-score signature was determined from the methylation state of pseudogene loci. Both bioinformatic and experimental analyses were performed for biological validation. Results By integrating clinical information with DNA methylation microarray data, we screened a panel of eight CpGs from discovery cohorts of non-G-CIMP GBMs. Each CpG could accurately and independently predict the prognosis of patients under a treatment regime that combined radiotherapy (RT) and temozolomide (TMZ). The 8-CpG signature appeared to show opposite prognostic correlations between patients treated with RT/TMZ and those treated with RT monotherapy. The analyses further indicated that this signature had predictive value for TMZ efficacy because different survival benefits between RT/TMZ and RT therapies were observed in each risk subgroup. The incorporation of other risk factors, such as age and O-6-methylguanine-DNA methyltransferase (MGMT) promoter methylation status, with our pseudogene methylation signature could provide precise risk classification. In vitro experimental data revealed that two locus-specific pseudogenes (ZNF767P and CLEC4GP1) may modulate TMZ resistance via distinct mechanisms in GBM cells. Conclusion The biologically and clinically relevant RISK-score signature, based on pseudogene methylation loci, may offer information for predicting TMZ responses of non-G-CIMP GBMs, that is independent from, but complementary to, MGMT-based approaches.
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Morelli C, Rofei M, Riondino S, Fraboni D, Torino F, Orlandi A, Tesauro M, Del Vecchio Blanco G, Federici M, Arkenau HT, Formica V, Roselli M. Immune Response in Vitamin D Deficient Metastatic Colorectal Cancer Patients: A Player That Should Be Considered for Targeted Vitamin D Supplementation. Cancers (Basel) 2022; 14:2594. [PMID: 35681576 PMCID: PMC9179512 DOI: 10.3390/cancers14112594] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 05/22/2022] [Accepted: 05/23/2022] [Indexed: 01/05/2023] Open
Abstract
Background: Vitamin D deficiency is a poor prognostic factor in metastatic colorectal cancer (mCRC); however, targeted supplementation trials have so far yielded limited results. We investigated clinical-laboratory parameters influencing vitamin D deficiency, with a particular focus on immune response, and the effect on survival. These parameters could help optimize targeted supplementation therapy. Methods: Association of plasma 25-hydroxyvitamin D (25(OH])D) with overall survival (OS) was assessed with the Hazard Ratio Smoothed Curve with Restricted Cubic Splines (HRSC-RCS) and maximally selected rank statistics (MSRS) in mCRC patients who underwent first-line chemotherapy. Several hematobiochemical variables were evaluated as predictors of vitamin D deficiency by means of Least Absolute Shrinkage and Selection Operator (LASSO) analysis. In a patient subset, peripheral lymphocyte subpopulations were also analyzed. Results: One hundred thirty-three mCRC patients were included. The median(m) baseline 25(OH)D was 10.8 ng/mL (range 3−53.4). HRSC-RCS revealed a linear association between 25(OH)D and OS. MSRS found 10 ng/mL as the optimal 25(OH)D cut-off. The median OS for 25(OH)D < 10 (n = 60) vs. > 10 ng/mL (n = 73) was 12.3 and 24.5 months, respectively (p = 0.002). The LASSO analysis identified high neutrophil-to-lymphocyte ratio (NLR > 3.5) as the strongest predictor of vitamin D deficiency (Odds Ratio 3.35, p 0.0009). Moreover, patients with low 25(OH)D levels (< 10 ng/mL) and high NLR (>3.5) had the shortest survival and patients with 25(OH)D >10 ng/mL and NLR <3.5 had the longest: mOS 8.1 and 28.1 months, respectively, HR 3.40 (1.76−6.59), p 0.0004. Besides the significant difference in NLR between 25(OH)D < and > 10 ng/mL patients (mNLR 3.6 vs. 2.9, p 0.03), the lymphocyte subpopulation analysis revealed that vitamin D deficiency was associated with high T- CD4+ (p = 0.04) and low B (p = 0.03) lymphocyte frequency. Conclusions: NLR is a powerful predictor of Vitamin D deficiency and can further help in stratifying prognosis. Vitamin D deficiency was associated with significant variations in peripheral immune cells. We hypothesize that integrated targeted interventions to both vitamin D and immune system would improve the prognosis of mCRC patients.
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Affiliation(s)
- Cristina Morelli
- Medical Oncology Unit, Department of Systems Medicine, Tor Vergata University Hospital, 00133 Rome, Italy; (C.M.); (M.R.); (S.R.); (F.T.); (M.R.)
| | - Michela Rofei
- Medical Oncology Unit, Department of Systems Medicine, Tor Vergata University Hospital, 00133 Rome, Italy; (C.M.); (M.R.); (S.R.); (F.T.); (M.R.)
| | - Silvia Riondino
- Medical Oncology Unit, Department of Systems Medicine, Tor Vergata University Hospital, 00133 Rome, Italy; (C.M.); (M.R.); (S.R.); (F.T.); (M.R.)
| | - Daniela Fraboni
- Department of Biomedicine and Prevention, University of Rome “Tor Vergata”, 00133 Rome, Italy;
| | - Francesco Torino
- Medical Oncology Unit, Department of Systems Medicine, Tor Vergata University Hospital, 00133 Rome, Italy; (C.M.); (M.R.); (S.R.); (F.T.); (M.R.)
| | - Augusto Orlandi
- Anatomic Pathology, Department of Biomedicine and Prevention, University of Rome “Tor Vergata”, 00133 Rome, Italy;
| | - Manfredi Tesauro
- Department of Internal Medicine, University of Rome “Tor Vergata”, 00133 Rome, Italy;
| | | | - Massimo Federici
- Department of Systems Medicine, University of Rome “Tor Vergata”, 00133 Rome, Italy;
| | - Hendrik-Tobias Arkenau
- Sarah Cannon Research Institute, Cancer Institute, University College London, London W1G 6AD, UK;
| | - Vincenzo Formica
- Medical Oncology Unit, Department of Systems Medicine, Tor Vergata University Hospital, 00133 Rome, Italy; (C.M.); (M.R.); (S.R.); (F.T.); (M.R.)
| | - Mario Roselli
- Medical Oncology Unit, Department of Systems Medicine, Tor Vergata University Hospital, 00133 Rome, Italy; (C.M.); (M.R.); (S.R.); (F.T.); (M.R.)
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Lin F, Zhang LP, Xie SY, Huang HY, Chen XY, Jiang TC, Guo L, Lin HX. Pan-Immune-Inflammation Value: A New Prognostic Index in Operative Breast Cancer. Front Oncol 2022; 12:830138. [PMID: 35494034 PMCID: PMC9043599 DOI: 10.3389/fonc.2022.830138] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 03/15/2022] [Indexed: 12/18/2022] Open
Abstract
Background To build a predictive scoring model based on simple immune and inflammatory parameters to predict postoperative survival in patients with breast cancer. Methods We used a brand-new immuno-inflammatory index-pan-immune-inflammation value (PIV)-to retrospectively evaluate the relationship between PIV and overall survival (OS), and based on the results of Cox regression analysis, we established a simple scoring prediction model based on several independent prognostic parameters. The predictive accuracy of the model was evaluated and independently validated. Results A total of 1,312 patients were included for analysis. PIV was calculated as follows: neutrophil count (109/L) × platelet count (109/L) × monocyte count (109/L)/lymphocyte count (109/L). According to the best cutoff value of PIV, we divided the patients into two different subgroups, high PIV (PIV > 310.2) and low PIV (PIV ≤ 310.2), associated with significantly different survival outcomes (3-year OS, 80.26% vs. 86.29%, respectively; 5-year OS, 62.5% vs. 71.55%, respectively). Six independent prognostic factors were identified and used to build the scoring system, which performed well with a concordance index (C-index) of 0.759 (95% CI: 0.715-0.802); the calibration plot showed good calibration. Conclusions We have established and verified a simple scoring system for predicting prognosis, which can predict the survival of patients with operable breast cancer. This system can help clinicians implement targeted and individualized treatment strategies.
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Affiliation(s)
- Fei Lin
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.,Department of Radiotherapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Li-Ping Zhang
- Department of Oncology, Guangdong Province Hospital of Integrated of Traditional Chinese and Western Medicine, Foshan, China
| | - Shuang-Yan Xie
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.,Department of Radiotherapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Han-Ying Huang
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.,Department of Radiotherapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Xiao-Yu Chen
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.,Department of Radiotherapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Tong-Chao Jiang
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.,Department of Radiotherapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Ling Guo
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.,Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Huan-Xin Lin
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.,Department of Radiotherapy, Sun Yat-sen University Cancer Center, Guangzhou, China
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Ravaggi A, Gambino A, Ferrari F, Olivari A, Zanotti L, Romani C, Ardighieri L, Antonelli P, Garganese G, Gallo D, Scambia G, Bignotti E, Sartori E, Calza S, Odicino F. VEGF-D Serum Level as a Potential Predictor of Lymph Node Metastasis and Prognosis in Vulvar Squamous Cell Carcinoma Patients. Front Oncol 2022; 12:818613. [PMID: 35463308 PMCID: PMC9026339 DOI: 10.3389/fonc.2022.818613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 03/14/2022] [Indexed: 11/23/2022] Open
Abstract
Background Radical surgical resection of the primary tumor with mono/bilateral inguinofemoral lymph node dissection is the standard treatment for invasive vulvar squamous cell carcinoma (VSCC) and is frequently related to severe morbidity. Tailoring surgical treatment is of paramount importance, and a comprehensive preoperative evaluation is mandatory. Vascular endothelial growth factor D (VEGF-D) is considered a regulator of lymphangiogenesis involved in tumor spread via lymphatic vessels. The aim of this study was to evaluate the potential of VEGF-D in the prediction of inguinofemoral lymph node metastasis. Methods We analyzed the preoperative levels of serum VEGF-D (sVEGF-D) from two independent cohorts of patients with VSCC by enzyme-linked immunosorbent assay and its protein expression on tumor tissue by immunohistochemistry. Logistic regression was performed to identify the independent risk factors for lymph node metastasis, and Cox proportional hazard model was used for survival analysis. Results High levels of sVEGF-D, but not tissue VEGF-D, significantly correlated with positive groin nodes and a more advanced International Federation of Gynecologists and Obstetricians (FIGO) stage. In multivariable analysis, a high sVEGF-D level was an independent predictor of lymph node metastasis and worse prognosis. A prediction model based on sVEGF-D, tumor grade assessed on biopsy, tumor diameter, and lymph node clinical evaluation was able to predict lymph node metastasis, reaching C-index values of 0.79 and 0.73 in the training and validation cohorts, respectively. Conclusions The preoperative sVEGF-D level might be a reliable biomarker for the prediction of lymph node metastasis and prognosis in patients with VSCC, supporting better clinical/surgical decision. Multicenter prospective studies are required to confirm our findings.
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Affiliation(s)
- Antonella Ravaggi
- Department of Clinical and Experimental Sciences, Division of Obstetrics and Gynecology, University of Brescia, Brescia, Italy.,Division of Obstetrics and Gynecology, Azienda Socio Sanitaria Territoriale Spedali Civili di Brescia, Brescia, Italy.,'Angelo Nocivelli' Institute of Molecular Medicine, University of Brescia-Azienda Socio Sanitaria Territoriale Spedali Civili, Brescia, Italy
| | - Angela Gambino
- Department of Clinical and Experimental Sciences, Division of Obstetrics and Gynecology, University of Brescia, Brescia, Italy.,Division of Obstetrics and Gynecology, Azienda Socio Sanitaria Territoriale Spedali Civili di Brescia, Brescia, Italy
| | - Federico Ferrari
- Division of Obstetrics and Gynecology, Azienda Socio Sanitaria Territoriale Spedali Civili di Brescia, Brescia, Italy
| | - Alessandro Olivari
- Department of Clinical and Experimental Sciences, Division of Obstetrics and Gynecology, University of Brescia, Brescia, Italy
| | - Laura Zanotti
- Department of Clinical and Experimental Sciences, Division of Obstetrics and Gynecology, University of Brescia, Brescia, Italy.,'Angelo Nocivelli' Institute of Molecular Medicine, University of Brescia-Azienda Socio Sanitaria Territoriale Spedali Civili, Brescia, Italy
| | - Chiara Romani
- 'Angelo Nocivelli' Institute of Molecular Medicine, University of Brescia-Azienda Socio Sanitaria Territoriale Spedali Civili, Brescia, Italy
| | - Laura Ardighieri
- Department of Pathology, Azienda Socio Sanitaria Territoriale Spedali Civili di Brescia, Brescia, Italy
| | - Paolo Antonelli
- Unit of Biostatistics and Bioinformatics, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Giorgia Garganese
- Gynecology and Breast Care Center, Mater Olbia Hospital, Olbia, Italy.,Dipartimento Universitario Scienze della Vita e Sanità Pubblica, Sezione di Ginecologia ed Ostetricia, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Daniela Gallo
- Dipartimento Universitario Scienze della Vita e Sanità Pubblica, Sezione di Ginecologia ed Ostetricia, Università Cattolica del Sacro Cuore, Rome, Italy.,Dipartimento Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico, Rome, Italy
| | - Giovanni Scambia
- Dipartimento Universitario Scienze della Vita e Sanità Pubblica, Sezione di Ginecologia ed Ostetricia, Università Cattolica del Sacro Cuore, Rome, Italy.,Dipartimento Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli, Istituto di Ricovero e Cura a Carattere Scientifico, Rome, Italy
| | - Eliana Bignotti
- Division of Obstetrics and Gynecology, Azienda Socio Sanitaria Territoriale Spedali Civili di Brescia, Brescia, Italy.,'Angelo Nocivelli' Institute of Molecular Medicine, University of Brescia-Azienda Socio Sanitaria Territoriale Spedali Civili, Brescia, Italy
| | - Enrico Sartori
- Department of Clinical and Experimental Sciences, Division of Obstetrics and Gynecology, University of Brescia, Brescia, Italy.,Division of Obstetrics and Gynecology, Azienda Socio Sanitaria Territoriale Spedali Civili di Brescia, Brescia, Italy
| | - Stefano Calza
- Unit of Biostatistics and Bioinformatics, Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.,BDbiomed, Big & Open Data Innovation Laboratory, University of Brescia, Brescia, Italy
| | - Franco Odicino
- Department of Clinical and Experimental Sciences, Division of Obstetrics and Gynecology, University of Brescia, Brescia, Italy.,Division of Obstetrics and Gynecology, Azienda Socio Sanitaria Territoriale Spedali Civili di Brescia, Brescia, Italy
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Korell F, Penack O, Mattie M, Schreck N, Benner A, Krzykalla J, Wang Z, Schmitt M, Bullinger L, Müller-Tidow C, Dreger P, Luft T. EASIX and Severe Endothelial Complications After CD19-Directed CAR-T Cell Therapy—A Cohort Study. Front Immunol 2022; 13:877477. [PMID: 35464403 PMCID: PMC9033201 DOI: 10.3389/fimmu.2022.877477] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 03/10/2022] [Indexed: 12/02/2022] Open
Abstract
Background Endothelial dysfunction is associated with two main complications of chimeric antigen receptor T (CAR-T) cell therapy, cytokine release syndrome (CRS) and immune effector cell-associated neurotoxicity syndrome (ICANS). This study evaluates the Endothelial Activation and Stress Index (EASIX) as a prognostic marker for high-grade CRS and ICANS in patients treated with CD19-directed CAR-T cells. Methods In this retrospective study, a training cohort of 93 patients from the ZUMA-1 trial and a validation cohort of 121 patients from two independent centers (University Hospital Heidelberg, Charité University Medicine Berlin) were investigated. The primary objective was to assess the predictive capacity of EASIX measured immediately before the start of lymphodepletion (EASIX-pre) for the occurrence of grade ≥3 CRS and/or ICANS. To explore a possible endothelial link, serum levels of endothelial stress markers (angiopoietin-2, suppressor of tumorigenicity-2, soluble thrombomodulin, and interleukin-8) were determined before lymphodepletion and on day 7 after CART infusion in the validation cohort (n = 47). Results The prognostic effect of EASIX-pre on grade ≥3 CRS and/or ICANS was significant in the training cohort [OR 2-fold increase 1.72 (1.26–2.46)] and validated in the independent cohort. An EASIX-pre cutoff >4.67 derived from the training cohort associated with a 4.3-fold increased odds ratio of severe CRS/ICANS in the independent cohort. Serum endothelial distress markers measured on day+7 correlated with EASIX-pre and associated with severe complications. Conclusions EASIX-pre is a powerful predictor of severe CRS/ICANS after CD19-directed CART therapy and might be used as a basis for risk-adapted prevention strategies.
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Affiliation(s)
- Felix Korell
- Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany
| | - Olaf Penack
- Department of Hematology, Oncology and Tumor Immunology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Mike Mattie
- Kite Pharma, Gilead, Santa Monica, CA, United States
| | - Nicholas Schreck
- Division of Biostatistics, German Cancer Research Center, Heidelberg, Germany
| | - Axel Benner
- Division of Biostatistics, German Cancer Research Center, Heidelberg, Germany
| | - Julia Krzykalla
- Division of Biostatistics, German Cancer Research Center, Heidelberg, Germany
| | - Zixing Wang
- Kite Pharma, Gilead, Santa Monica, CA, United States
| | - Michael Schmitt
- Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany
| | - Lars Bullinger
- Department of Hematology, Oncology and Tumor Immunology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Carsten Müller-Tidow
- Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany
| | - Peter Dreger
- Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany
| | - Thomas Luft
- Department of Internal Medicine V, University Hospital Heidelberg, Heidelberg, Germany
- *Correspondence: Thomas Luft,
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A single-cell atlas of non-haematopoietic cells in human lymph nodes and lymphoma reveals a landscape of stromal remodelling. Nat Cell Biol 2022; 24:565-578. [PMID: 35332263 PMCID: PMC9033586 DOI: 10.1038/s41556-022-00866-3] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Accepted: 02/10/2022] [Indexed: 12/14/2022]
Abstract
The activities of non-haematopoietic cells (NHCs), including mesenchymal stromal cells and endothelial cells, in lymphomas are reported to underlie lymphomagenesis. However, our understanding of lymphoma NHCs has been hampered by unexplained NHC heterogeneity, even in normal human lymph nodes (LNs). Here we constructed a single-cell transcriptome atlas of more than 100,000 NHCs collected from 27 human samples, including LNs and various nodal lymphomas, and it revealed 30 distinct subclusters, including some that were previously unrecognized. Notably, this atlas was useful for comparative analyses with lymphoma NHCs, which revealed an unanticipated landscape of subcluster-specific changes in gene expression and interaction with malignant cells in follicular lymphoma NHCs. This facilitates our understanding of stromal remodelling in lymphoma and highlights potential clinical biomarkers. Our study largely updates NHC taxonomy in human LNs and analysis of disease status, and provides a rich resource and deeper insights into LN and lymphoma biology to advance lymphoma management and therapy. Abe et al. profile, characterize and compare non-haematopoietic cells in normal human lymph nodes versus nodal lymphomas from patients, providing insights into stromal modelling in health and disease.
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Zhai WY, Duan FF, Chen S, Wang JY, Zhao ZR, Wang YZ, Rao BY, Lin YB, Long H. An Aging-Related Gene Signature-Based Model for Risk Stratification and Prognosis Prediction in Lung Squamous Carcinoma. Front Cell Dev Biol 2022; 10:770550. [PMID: 35300428 PMCID: PMC8921527 DOI: 10.3389/fcell.2022.770550] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2021] [Accepted: 02/04/2022] [Indexed: 12/29/2022] Open
Abstract
Aging is an inevitable process characterized by a decline in many physiological activities, and has been known as a significant risk factor for many kinds of malignancies, but there are few studies about aging-related genes (ARGs) in lung squamous carcinoma (LUSC). We designed this study to explore the prognostic value of ARGs and establish an ARG-based prognosis signature for LUSC patients. RNA-sequencing and corresponding clinicopathological data of patients with LUSC were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). The ARG risk signature was developed on the basis of results of LASSO and multivariate Cox analysis in the TCGA training dataset (n = 492). Furthermore, the GSE73403 dataset (n = 69) validated the prognostic performance of this ARG signature. Immunohistochemistry (IHC) staining was used to verify the expression of the ARGs in the signature. A five ARG-based signature, including A2M, CHEK2, ELN, FOS, and PLAU, was constructed in the TCGA dataset, and stratified patients into low- and high-risk groups with significantly different overall survival (OS) rates. The ARG risk score remained to be considered as an independent indicator of OS in the multivariate Cox regression model for LUSC patients. Then, a prognostic nomogram incorporating the ARG risk score with T-, N-, and M-classification was established. It achieved a good discriminative ability with a C-index of 0.628 (95% confidence interval [CI]: 0.586-0.671) in the TCGA cohort and 0.648 (95% CI: 0.535-0.762) in the GSE73403 dataset. Calibration curves displayed excellent agreement between the actual observations and the nomogram-predicted survival. The IHC staining discovered that these five ARGs were overexpression in LUSC tissues. Besides, the immune infiltration analysis in the TCGA cohort represented a distinctly differentiated infiltration of anti-tumor immune cells between the low- and high-risk groups. We identified a novel ARG-related prognostic signature, which may serve as a potential biomarker for individualized survival predictions and personalized therapeutic recommendation of anti-tumor immunity for patients with LUSC.
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Affiliation(s)
- Wen-Yu Zhai
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Department of Thoracic Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China.,Lung Cancer Research Center, Sun Yat-Sen University, Guangzhou, China
| | - Fang-Fang Duan
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Si Chen
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Department of Thoracic Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China.,Lung Cancer Research Center, Sun Yat-Sen University, Guangzhou, China
| | - Jun-Ye Wang
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Department of Thoracic Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Ze-Rui Zhao
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Department of Thoracic Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China.,Lung Cancer Research Center, Sun Yat-Sen University, Guangzhou, China
| | - Yi-Zhi Wang
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Department of Thoracic Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China.,Lung Cancer Research Center, Sun Yat-Sen University, Guangzhou, China
| | - Bing-Yu Rao
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Department of Thoracic Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China.,Lung Cancer Research Center, Sun Yat-Sen University, Guangzhou, China
| | - Yao-Bin Lin
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Department of Thoracic Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China.,Lung Cancer Research Center, Sun Yat-Sen University, Guangzhou, China
| | - Hao Long
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Department of Thoracic Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China.,Lung Cancer Research Center, Sun Yat-Sen University, Guangzhou, China
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50
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Wang H, Wu J, Ling R, Li F, Yang Q, He J, Lei X, Wu C, Zhang G, Zheng B, Peng Y, Zhang Y, Chen H, Ye G, Li G. Fibroblast-derived LPP as a biomarker for treatment response and therapeutic target in gastric cancer. Mol Ther Oncolytics 2022; 24:547-560. [PMID: 35229032 PMCID: PMC8857546 DOI: 10.1016/j.omto.2022.01.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Accepted: 01/27/2022] [Indexed: 10/26/2022] Open
Abstract
Association of tumor microenvironment and immune checkpoint (e.g., PD-L1) is important for immune escape, impacting chemotherapy and immunotherapy efficacy. We aimed to investigate biomarkers and therapeutic targets against treatment resistance in gastric cancer. Abundances of tumor-infiltrating immune cells were estimated in multiple datasets. Three patient subgroups (A, B, and C) were identified based on seven types of PD-L1- and IFN-γ-associated immune cells. Patients yielded increased prognosis from subgroup A to C (p = 0.027). Subgroup A was characterized by high activated CD4+ memory T cell infiltration, while more resting CD4+ memory T cells were in subgroup C. Further, a risk score was developed for prognostication. Lipoma preferred partner (LPP), as the hub gene in subgroup-related regulatory network, was upregulated (p < 0.01) and was associated with high risk score (p < 0.001) and poor survival (p < 0.05). Bioinformatics analyses and experiments found that LPP expressed restrictively in fibroblasts and associated with activated CD4+ memory T cell infiltration and tumor growth. High-LPP patients yielded fewer benefits from chemotherapy or immunotherapy, compared with the low-LPP group. We finally identified 28 compounds as sensitive drugs for high-LPP patients. Our findings suggested LPP might be a biomarker for treatment response and therapeutic target in gastric cancer.
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Affiliation(s)
- Hao Wang
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangdong Provincial Engineering Technology Research Center of Minimally Invasive Surgery, 1838 North Guangzhou Avenue, Guangzhou 510515, China.,Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Guangzhou 510515, China
| | - Jing Wu
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangdong Provincial Engineering Technology Research Center of Minimally Invasive Surgery, 1838 North Guangzhou Avenue, Guangzhou 510515, China.,Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Guangzhou 510515, China
| | - Ruoyu Ling
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangdong Provincial Engineering Technology Research Center of Minimally Invasive Surgery, 1838 North Guangzhou Avenue, Guangzhou 510515, China.,Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Guangzhou 510515, China
| | - Fengping Li
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangdong Provincial Engineering Technology Research Center of Minimally Invasive Surgery, 1838 North Guangzhou Avenue, Guangzhou 510515, China.,Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Guangzhou 510515, China
| | - Qingbin Yang
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangdong Provincial Engineering Technology Research Center of Minimally Invasive Surgery, 1838 North Guangzhou Avenue, Guangzhou 510515, China.,Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Guangzhou 510515, China
| | - Jiayong He
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangdong Provincial Engineering Technology Research Center of Minimally Invasive Surgery, 1838 North Guangzhou Avenue, Guangzhou 510515, China.,Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Guangzhou 510515, China
| | - Xuetao Lei
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangdong Provincial Engineering Technology Research Center of Minimally Invasive Surgery, 1838 North Guangzhou Avenue, Guangzhou 510515, China.,Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Guangzhou 510515, China
| | - Chaorui Wu
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangdong Provincial Engineering Technology Research Center of Minimally Invasive Surgery, 1838 North Guangzhou Avenue, Guangzhou 510515, China.,Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Guangzhou 510515, China
| | - Guofan Zhang
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangdong Provincial Engineering Technology Research Center of Minimally Invasive Surgery, 1838 North Guangzhou Avenue, Guangzhou 510515, China.,Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Guangzhou 510515, China
| | - Boyang Zheng
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangdong Provincial Engineering Technology Research Center of Minimally Invasive Surgery, 1838 North Guangzhou Avenue, Guangzhou 510515, China.,Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Guangzhou 510515, China
| | - Yanmei Peng
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangdong Provincial Engineering Technology Research Center of Minimally Invasive Surgery, 1838 North Guangzhou Avenue, Guangzhou 510515, China.,Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Guangzhou 510515, China
| | - Yihao Zhang
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangdong Provincial Engineering Technology Research Center of Minimally Invasive Surgery, 1838 North Guangzhou Avenue, Guangzhou 510515, China.,Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Guangzhou 510515, China
| | - Hao Chen
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangdong Provincial Engineering Technology Research Center of Minimally Invasive Surgery, 1838 North Guangzhou Avenue, Guangzhou 510515, China.,Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Guangzhou 510515, China
| | - Gengtai Ye
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangdong Provincial Engineering Technology Research Center of Minimally Invasive Surgery, 1838 North Guangzhou Avenue, Guangzhou 510515, China.,Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Guangzhou 510515, China
| | - Guoxin Li
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangdong Provincial Engineering Technology Research Center of Minimally Invasive Surgery, 1838 North Guangzhou Avenue, Guangzhou 510515, China.,Guangdong Provincial Key Laboratory of Precision Medicine for Gastrointestinal Tumor, Guangzhou 510515, China
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