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Luo W, Xiu Z, Wang X, McGarry R, Allen J. A Novel Method for Evaluating Early Tumor Response Based on Daily CBCT Images for Lung SBRT. Cancers (Basel) 2023; 16:20. [PMID: 38201447 PMCID: PMC10778260 DOI: 10.3390/cancers16010020] [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: 11/03/2023] [Revised: 12/07/2023] [Accepted: 12/11/2023] [Indexed: 01/12/2024] Open
Abstract
BACKGROUND We aimed to develop a new tumor response assessment method for lung SBRT. METHODS In total, 132 lung cancer patients with 134 tumors who received SBRT treatment with daily CBCT were included in this study. The information about tumor size (area), contrast (contrast-to-noise ratio (CNR)), and density/attenuation (μ) was derived from the CBCT images for the first and the last fractions. The ratios of tumor area, CNR, and μ (RA, RCNR, Rμ) between the last and first fractions were calculated for comparison. The product of the three rations was defined as a new parameter (R) for assessment. Tumor response was independently assessed by a radiologist based on a comprehensive analysis of the CBCT images. RESULTS R ranged from 0.27 to 1.67 with a mean value of 0.95. Based on the radiologic assessment results, a receiver operation characteristic (ROC) curve with the area under the curve (AUC) of 95% was obtained and the optimal cutoff value (RC) was determined as 1.1. The results based on RC achieved a 94% accuracy, 94% specificity, and 90% sensitivity. CONCLUSION The results show that R was correlated with early tumor response to lung SBRT and that using R for evaluating tumor response to SBRT would be viable and efficient.
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Affiliation(s)
- Wei Luo
- Department of Radiation Medicine, University of Kentucky, 800 Rose Street, Lexington, KY 40536, USA; (Z.X.); (R.M.)
| | - Zijian Xiu
- Department of Radiation Medicine, University of Kentucky, 800 Rose Street, Lexington, KY 40536, USA; (Z.X.); (R.M.)
| | - Xiaoqin Wang
- Department of Radiology, University of Kentucky, 800 Rose Street, Lexington, KY 40536, USA;
| | - Ronald McGarry
- Department of Radiation Medicine, University of Kentucky, 800 Rose Street, Lexington, KY 40536, USA; (Z.X.); (R.M.)
| | - Joshua Allen
- AdventHealth, 2501 N Orange Ave, Orlando, FL 32804, USA;
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2
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Cai S, Zhang B, Huang C, Deng Y, Wang C, Yang Y, Xiang Z, Ni Y, Wang Z, Wang L, Zhang B, Guo X, He J, Ma K, Yu Z. CTRP6 protects against ferroptosis to drive lung cancer progression and metastasis by destabilizing SOCS2 and augmenting the xCT/GPX4 pathway. Cancer Lett 2023; 579:216465. [PMID: 38084702 DOI: 10.1016/j.canlet.2023.216465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 10/10/2023] [Accepted: 10/24/2023] [Indexed: 12/18/2023]
Abstract
Lung cancer is a highly heterogeneous malignancy, and despite the rapid development of chemotherapy and radiotherapy, acquired drug resistance and tumor progression still occur. Thus, it is urgent to identify novel therapeutic targets. Our research aims to screen novel biomarkers associated with the prognosis of lung carcinoma patients and explore the potential regulatory mechanisms. We obtained RNA sequencing (RNA-seq) data of lung cancer patients from public databases. Clinical signature analysis, weighted gene coexpression network analysis (WGCNA) and the random forest algorithm showed that C1q/tumor necrosis factor-related protein-6 (CTRP6) is a core gene related to lung cancer prognosis, and it was determined to promote tumor proliferation and metastasis both in vivo and in vitro. Mechanistically, silencing CTRP6 was determined to promote xCT/GPX4-involved ferroptosis through functional assays related to lipid peroxidation, Fe2+ concentration and mitochondrial ultrastructure. By performing interactive proteomics analyses in lung tumor cells, we identified the interaction between CTRP6 and suppressor of cytokine signaling 2 (SOCS2) leading to SOCS2 ubiquitination degradation, subsequently enhancing the downstream xCT/GPX4 signaling pathway. Moreover, significant correlations between CTRP6-mediated SOCS2 and ferroptosis were revealed in mouse models and clinical specimens of lung cancer. As inducing ferroptosis has been gradually regarded as an alternative strategy to treat tumors, targeting CTRP6-mediated ferroptosis could be a potential strategy for lung cancer therapy.
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Affiliation(s)
- Songhua Cai
- Department of Thoracic Surgery, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China
| | - Baohui Zhang
- Department of Physiology, School of Life Science, China Medical University, Shenyang, China
| | - Chujian Huang
- Department of Thoracic Surgery, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China
| | - Youjun Deng
- Department of Thoracic Surgery, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China
| | - Chunguang Wang
- Department of Thoracic Surgery, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China
| | - Yikun Yang
- Department of Thoracic Surgery, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China
| | - Zichang Xiang
- Shenzhen University Medical School, Shenzhen, Guangdong, 518055, China
| | - Yao Ni
- Shenzhen University Medical School, Shenzhen, Guangdong, 518055, China
| | - Zhe Wang
- Department of Thoracic Surgery, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China
| | - Lixu Wang
- Department of Thoracic Surgery, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China
| | - Baihua Zhang
- Department of Thoracic Surgery, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China
| | - Xiaotong Guo
- Department of Thoracic Surgery, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China
| | - Jie He
- Department of Thoracic Surgery, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China; Department of Thoracic Surgery, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
| | - Kai Ma
- Department of Thoracic Surgery, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China.
| | - Zhentao Yu
- Department of Thoracic Surgery, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China.
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3
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A fluorogenic probe for predicting treatment response in non-small cell lung cancer with EGFR-activating mutations. Nat Commun 2022; 13:6944. [PMID: 36376325 PMCID: PMC9663578 DOI: 10.1038/s41467-022-34627-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 11/01/2022] [Indexed: 11/16/2022] Open
Abstract
Therapeutic responses of non-small cell lung cancer (NSCLC) to epidermal growth factor receptor (EGFR) - tyrosine kinase inhibitors (TKIs) are known to be associated with EGFR mutations. However, a proportion of NSCLCs carrying EGFR mutations still progress on EGFR-TKI underlining the imperfect correlation. Structure-function-based approaches have recently been reported to perform better in retrospectively predicting patient outcomes following EGFR-TKI treatment than exon-based method. Here, we develop a multicolor fluorescence-activated cell sorting (FACS) with an EGFR-TKI-based fluorogenic probe (HX103) to profile active-EGFR in tumors. HX103-based FACS shows an overall agreement with gene mutations of 82.6%, sensitivity of 81.8% and specificity of 83.3% for discriminating EGFR-activating mutations from wild-type in surgical specimens from NSCLC patients. We then translate HX103 to the clinical studies for prediction of EGFR-TKI sensitivity. When integrating computed tomography imaging with HX103-based FACS, we find a high correlation between EGFR-TKI therapy response and probe labeling. These studies demonstrate HX103-based FACS provides a high predictive performance for response to EGFR-TKI, suggesting the potential utility of an EGFR-TKI-based probe in precision medicine trials to stratify NSCLC patients for EGFR-TKI treatment.
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4
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Nanjo S, Wu W, Karachaliou N, Blakely CM, Suzuki J, Chou YT, Ali SM, Kerr DL, Olivas VR, Shue J, Rotow J, Mayekar MK, Haderk F, Chatterjee N, Urisman A, Yeo JC, Skanderup AJ, Tan AC, Tam WL, Arrieta O, Hosomichi K, Nishiyama A, Yano S, Kirichok Y, Tan DS, Rosell R, Okimoto RA, Bivona TG. Deficiency of the splicing factor RBM10 limits EGFR inhibitor response in EGFR mutant lung cancer. J Clin Invest 2022; 132:145099. [PMID: 35579943 PMCID: PMC9246391 DOI: 10.1172/jci145099] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Accepted: 05/13/2022] [Indexed: 11/18/2022] Open
Abstract
Molecularly targeted cancer therapy has improved outcomes for patients with cancer with targetable oncoproteins, such as mutant EGFR in lung cancer. Yet, the long-term survival of these patients remains limited, because treatment responses are typically incomplete. One potential explanation for the lack of complete and durable responses is that oncogene-driven cancers with activating mutations of EGFR often harbor additional co-occurring genetic alterations. This hypothesis remains untested for most genetic alterations that co-occur with mutant EGFR. Here, we report the functional impact of inactivating genetic alterations of the mRNA splicing factor RNA-binding motif 10 (RBM10) that co-occur with mutant EGFR. RBM10 deficiency decreased EGFR inhibitor efficacy in patient-derived EGFR-mutant tumor models. RBM10 modulated mRNA alternative splicing of the mitochondrial apoptotic regulator Bcl-x to regulate tumor cell apoptosis during treatment. Genetic inactivation of RBM10 diminished EGFR inhibitor–mediated apoptosis by decreasing the ratio of (proapoptotic) Bcl-xS to (antiapoptotic) Bcl-xL isoforms of Bcl-x. RBM10 deficiency was a biomarker of poor response to EGFR inhibitor treatment in clinical samples. Coinhibition of Bcl-xL and mutant EGFR overcame the resistance induced by RBM10 deficiency. This study sheds light on the role of co-occurring genetic alterations and on the effect of splicing factor deficiency on the modulation of sensitivity to targeted kinase inhibitor cancer therapy.
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Affiliation(s)
- Shigeki Nanjo
- Department of Medicine, University of California, San Francisco, San Francisco, United States of America
| | - Wei Wu
- Department of Medicine, University of California, San Francisco, San Francisco, United States of America
| | - Niki Karachaliou
- Cancer Biology and Precision Medicine Program, Germans Trias i Pujol Research Institute and Hospital, Badalona, Spain
| | - Collin M Blakely
- Department of Medicine, University of California, San Francisco, San Francisco, United States of America
| | - Junji Suzuki
- Department of Physiology, University of California, San Francisco, San Francisco, United States of America
| | - Yu-Ting Chou
- Department of Medicine, University of California, San Francisco, San Francisco, United States of America
| | - Siraj M Ali
- Foundation Medicine, Inc., Foundation Medicine, Inc., Cambridge, United States of America
| | - D Lucas Kerr
- Department of Medicine, University of California, San Francisco, San Francisco, United States of America
| | - Victor R Olivas
- Department of Medicine, University of California, San Francisco, San Francisco, United States of America
| | - Jonathan Shue
- Department of Medicine, University of California, San Francisco, San Francisco, United States of America
| | - Julia Rotow
- Department of Medicine, University of California, San Francisco, San Francisco, United States of America
| | - Manasi K Mayekar
- Department of Medicine, University of California, San Francisco, San Francisco, United States of America
| | - Franziska Haderk
- Department of Medicine, University of California, San Francisco, San Francisco, United States of America
| | - Nilanjana Chatterjee
- Department of Medicine, University of California, San Francisco, San Francisco, United States of America
| | - Anatoly Urisman
- Department of Pathology, University of California, San Francisco, San Francisco, United States of America
| | - Jia Chi Yeo
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore
| | - Anders J Skanderup
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore
| | - Aaron C Tan
- Division of Medical Oncology, National Cancer Center Singapore, Singapore, Singapore
| | - Wai Leong Tam
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore
| | - Oscar Arrieta
- Thoracic Oncology Unit, National Cancer Center Institute (INCan), México City, Mexico
| | - Kazuyoshi Hosomichi
- Department of Bioinformatics and Genomic, Kanazawa Universuty, Kanazawa, Japan
| | - Akihiro Nishiyama
- Division of Medical Oncology, Kanazawa University Cancer Research Institute, Kanazawa, Japan
| | - Seiji Yano
- Kanazawa University Cancer Research Institute, Kanazawa, Japan
| | - Yuriy Kirichok
- Department of Physiology, University of California, San Francisco, San Francisco, United States of America
| | - Daniel Sw Tan
- Division of Medical Oncology, National Cancer Center Singapore, Singapore, Singapore
| | - Rafael Rosell
- Cancer Biology and Precision Medicine Program, Germans Trias i Pujol Research Institute and Hospital, Badalona, Spain
| | - Ross A Okimoto
- Department of Medicine, University of California, San Francisco, San Francisco, United States of America
| | - Trever G Bivona
- UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, United States of America
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5
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Fiala O, Baxa J, Svaton M, Benesova L, Ptackova R, Halkova T, Minarik M, Hosek P, Buresova M, Finek J, Ferda J, Pesek M. Combination of Circulating Tumour DNA and 18F-FDG PET/CT for Precision Monitoring of Therapy Response in Patients With Advanced Non-small Cell Lung Cancer: A Prospective Study. Cancer Genomics Proteomics 2022; 19:270-281. [PMID: 35181593 DOI: 10.21873/cgp.20319] [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: 11/16/2021] [Revised: 12/08/2021] [Accepted: 12/09/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND/AIM Circulating tumour DNA (ctDNA) represents an emerging biomarker in non-small cell lung cancer (NSCLC). We focused on the combination of ctDNA and positron emission tomography/computed tomography (PET/CT) in the follow-up monitoring of advanced-stage NSCLC patients treated with chemotherapy. PATIENTS AND METHODS Eighty-four patients were enrolled in this study. 18F-fluorodeoxyglucose PET/CT and ctDNA assessments were performed at baseline and after two cycles of chemotherapy (follow-up). RESULTS There was a correlation of ctDNA with metabolic tumour volume (MTV), total lesion glycolysis (TLG), and iodine concentration (IC) at baseline (p=0.001, p=0.001, p=0.003) and at follow-up (p=0.006, p=0.002, p=0.001). The objective response was associated with follow-up ctDNA (p<0.001) and the change of all PET/CT parameters. ROC analyses showed that the combination of follow-up ctDNA with changes in SUVmax is very promising for the estimation of objective response and progression-free survival. CONCLUSION The combination of ctDNA assessment with PET/CT is a promising approach for the follow-up monitoring of therapy response and prognosis estimation of advanced-stage NSCLC patients.
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Affiliation(s)
- Ondrej Fiala
- Department of Oncology and Radiotherapeutics, Faculty of Medicine and University Hospital in Pilsen, Charles University, Pilsen, Czech Republic; .,Laboratory of Cancer Treatment and Tissue Regeneration, Biomedical Center, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic
| | - Jan Baxa
- Department of Imaging Methods, Faculty of Medicine and University Hospital in Pilsen, Charles University, Pilsen, Czech Republic
| | - Martin Svaton
- Department of Pneumology and Phtiseology, Faculty of Medicine and University Hospital in Pilsen, Charles University, Pilsen, Czech Republic
| | - Lucie Benesova
- Center for Applied Genomics of Solid Tumors, Genomac Research Institute, Prague, Czech Republic
| | - Renata Ptackova
- Center for Applied Genomics of Solid Tumors, Genomac Research Institute, Prague, Czech Republic
| | - Tereza Halkova
- Center for Applied Genomics of Solid Tumors, Genomac Research Institute, Prague, Czech Republic
| | - Marek Minarik
- Elphogene, Prague, Czech Republic.,Department of Analytical Chemistry, Faculty of Science, Charles University, Prague, Czech Republic
| | - Petr Hosek
- Laboratory of Cancer Treatment and Tissue Regeneration, Biomedical Center, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic
| | - Marcela Buresova
- Department of Pneumology and Phtiseology, Faculty of Medicine and University Hospital in Pilsen, Charles University, Pilsen, Czech Republic
| | - Jindrich Finek
- Department of Oncology and Radiotherapeutics, Faculty of Medicine and University Hospital in Pilsen, Charles University, Pilsen, Czech Republic
| | - Jiri Ferda
- Department of Imaging Methods, Faculty of Medicine and University Hospital in Pilsen, Charles University, Pilsen, Czech Republic
| | - Milos Pesek
- Department of Pneumology and Phtiseology, Faculty of Medicine and University Hospital in Pilsen, Charles University, Pilsen, Czech Republic
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Wang D, Qiu B, He H, Yin S, Peng K, Hu N, Guo J, Li Q, Chen N, Chu C, Liu F, Xie CM, Liu H. Tumor response evaluation by combined modalities of chest magnetic resonance imaging and computed tomography in locally advanced non-small cell lung cancer after concurrent chemoradiotherapy. Radiother Oncol 2022; 168:211-220. [DOI: 10.1016/j.radonc.2022.01.042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 01/27/2022] [Accepted: 01/31/2022] [Indexed: 11/16/2022]
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7
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PET imaging of lung and pleural cancer. Nucl Med Mol Imaging 2022. [DOI: 10.1016/b978-0-12-822960-6.00206-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
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8
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Shaheen AA, Mohammed AM, Elshimy A, Shalaby MH. Role of PET/CT in post-therapeutic assessment of bronchogenic carcinoma. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2021. [DOI: 10.1186/s43055-021-00503-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Lung cancer is the most common among all kinds of cancers. It still constitutes the leading cause of cancer-related deaths worldwide, even with major advancements in prevention and treatments available. More than 85% of the cases are of non-small cell lung cancer (NSCLC), while less than 15% are of small cell lung cancers (SCLCs).
Patients and methods
This is a prospective study of 20 patients confirmed histopathologically to have bronchogenic carcinoma, who came for assessment of therapeutic response. All patients underwent positron emission tomography/computed tomography (PET/CT) before and after therapy. Semiquantitative assessment was used to determine maximum standardized uptake value (SUVmax). Treatment response evaluation was assessed according to the Response Evaluation Criteria in Solid Tumors (RECIST) criteria.
Results
Comparison of the pre- and post-treatment SUVmax in the responder and non-responder groups revealed that the post-treatment SUV was significantly lower than the baseline SUV in the responder group (P = 0.008). The responder post-treatment SUV and ∆ SUV were significantly lower than the non-responder values (P = 0.014 and 0.0004 respectively). The optimum threshold values of post-treatment SUV and ∆ SUV threshold defined by the receiver operating characteristic (ROC) curve analysis were ≤ 8 and ≤ −48.3 respectively. The sensitivity, specificity, PPV, NPV, and AUC of post-treatment SUV for predicting tumor response were 100%, 66.67%, 66.7%, 100%, and 0.833 respectively. The sensitivity, specificity, PPV, NPV, and AUC of ∆ SUV for predicting tumor response were 100%, 91.67%, 88.9%, 100%, and 0.979% respectively.
Conclusion
PET/CT proved itself as useful, efficient, and reliable tool in follow-up of lung cancer patients as it gives an early and accurate metabolic response assessment before any CT changes, leading to early modification of therapy or confirmation of its efficiency.
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Gamal GH. The usefulness of 18F-FDG PET/CT in follow-up and recurrence detection for patients with lung carcinoma and its impact on the survival outcome. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2021. [DOI: 10.1186/s43055-021-00504-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
We assess the usefulness of 18F-FDG PET/CT for detection of recurrent or residual tumor in post treatment patients with NSCLC and comparing the results with CECT, and we evaluate its impact to the clinical assessment and overall survival of lung cancer patients.
Results
A prospective study of 63 patients with potentially resectable NSCLC, were divided into 2 groups according to the initial staging of the disease and the early response to treatment.
Group A (n=29) patients were treated by curative treatment, and group B (n=34) patients were treated by palliative treatment.
Evaluation of patients was done during the follow-up period clinically every 3 months and by 18F-FDG PET/CT and CECT imaging at 6 months intervals.
In group A, 18F-FDG PET/CT correctly diagnosed all recurrent or residual tumors (n=7) whereas CECT diagnosed only 5 with 2 false negative cases.
In group B, 18F-FDG PET/CT correctly diagnosed all recurrent or residual tumors (n=23) whereas CECT diagnosed 16 patients with 7 false negative cases.
By comparison of 18F-FDG PET/CT and CECT in detection of residual or recurrent lung cancer (n=30), the sensitivity, specificity, PPV, NPV, and accuracy of 18F-FDG PET/CT were 100%, 92%, 92%, 100%, and 96% respectively, while of CECT were 72%, 95%, 94%, 79%, and 84% respectively in correlation with reference standard data. The calculated SUV max ranged from 2.1 to 4.9.
There was a significant difference in overall survival between patients in routine scan who had positive 18F FDG PET/CT result (median survival 18 months) and those who had negative result (median survival 45 months) (P<0.0001).
Conclusion
18 F-FDG PET/CT plays an important role in distinguishing post treatment changes from tumor recurrence in patients with lung cancer. Follow-up or surveillance 18 F-FDG PET/CT is a prognostic indicator for overall survival of patients.
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Beaumont H, Iannessi A, Wang Y, Voyton CM, Cillario J, Liu Y. Blinded Independent Central Review (BICR) in New Therapeutic Lung Cancer Trials. Cancers (Basel) 2021; 13:cancers13184533. [PMID: 34572761 PMCID: PMC8465869 DOI: 10.3390/cancers13184533] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 08/15/2021] [Accepted: 08/17/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Double reads in blinded independent central reviews (BICRs) are recommended to control the quality of trials but they are prone to discordances. We analyzed inter-reader discordances in a pool of lung cancer trials using RECIST 1.1. METHODS We analyzed six lung cancer BICR trials that included 1833 patients (10,684 time points) involving 17 radiologists. We analyzed the rate of discrepancy of each trial at the time-point and patient levels as well as testing inter-trial differences. The analysis of adjudication made it possible to compute the readers' endorsement rates, the root causes of adjudications, and the proportions of "errors" versus "medically justifiable differences". RESULTS The trials had significantly different discrepancy rates both at the time-point (average = 34.3%) and patient (average = 59.2%) levels. When considering only discrepancies for progressive disease, homogeneous discrepancy rates were found with an average of 32.9%, while readers' endorsement rates ranged between 27.7% and 77.8%. Major causes of adjudication were different per trial, with medically justifiable differences being the most common, triggering 74.2% of total adjudications. CONCLUSIONS We provide baseline performances for monitoring reader performance in trials with double reads. Intelligent reading system implementation along with appropriate reader training and monitoring are solutions that could mitigate a large portion of the commonly encountered reading errors.
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Affiliation(s)
- Hubert Beaumont
- Median Technologies, 1800 Route des Crêtes, 06560 Valbonne, France; (H.B.); (A.I.); (Y.W.); (C.M.V.); (J.C.)
| | - Antoine Iannessi
- Median Technologies, 1800 Route des Crêtes, 06560 Valbonne, France; (H.B.); (A.I.); (Y.W.); (C.M.V.); (J.C.)
- Centre Antoine Lacassagne, 33 Avenue de Valombrose, 06100 Nice, France
| | - Yi Wang
- Median Technologies, 1800 Route des Crêtes, 06560 Valbonne, France; (H.B.); (A.I.); (Y.W.); (C.M.V.); (J.C.)
| | - Charles M. Voyton
- Median Technologies, 1800 Route des Crêtes, 06560 Valbonne, France; (H.B.); (A.I.); (Y.W.); (C.M.V.); (J.C.)
| | - Jennifer Cillario
- Median Technologies, 1800 Route des Crêtes, 06560 Valbonne, France; (H.B.); (A.I.); (Y.W.); (C.M.V.); (J.C.)
| | - Yan Liu
- Median Technologies, 1800 Route des Crêtes, 06560 Valbonne, France; (H.B.); (A.I.); (Y.W.); (C.M.V.); (J.C.)
- Correspondence: ; Tel.: +33-32475608490
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11
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Osman AM, Korashi HI. PET/CT implication on bronchogenic carcinoma TNM staging and follow-up using RECIST/PERCIST criteria: a comparative study with CT. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2020. [DOI: 10.1186/s43055-020-0133-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
To evaluate the role of PET/CT on bronchogenic carcinoma staging as well as treatment response evaluation on follow-up compared to CT study alone.
Methods
A prospective study of 60 patients confirmed histopathologically to have non-small cell bronchogenic carcinoma, 30 of them came for staging (group T) while the rest 30 came for follow-up (group F) to assess therapy response. All patients underwent PET/CT with data analysis done using the eighth edition tumor, nodal, metastatic staging (TNM) staging for group T and RECIST/PERCIST criteria for group F. The CT data alone transferred to a blind radiologist for analysis using the same parameters. The results were collected and compared.
Results
Regarding group T, 12 patients showed different TNM staging between PET/CT and CT alone, 5 cases with different T stagings, 4 cases with different N stagings, and 5 cases with different M stagings. Also, 8 cases showed different surgical stagings. Regarding group F, 9 cases showed a difference between RECIST obtained by CT and PERCIST obtained by PET/CT with most of the cases (6 cases) showed change from partial or stable response to progressive response.
Conclusion
PET/CT has a significant role in TNM staging of bronchogenic carcinoma more at T2 staging due to its ability to differentiate the tumoral mass from the nearby pulmonary reaction. Also, PET/CT makes a difference in tumoral follow-up by its ability to detect the functional changes even before structural changes. Finally, PET/CT is a very important tool in management strategy.
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12
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Kahn J, Kocher MR, Waltz J, Ravenel JG. Advances in Lung Cancer Imaging. Semin Roentgenol 2020; 55:70-78. [PMID: 31964483 DOI: 10.1053/j.ro.2019.10.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Jacob Kahn
- Department of Radiology and Radiological Sciences, Medical University of South Carolina, Charleston, SC
| | - Madison R Kocher
- Department of Radiology and Radiological Sciences, Medical University of South Carolina, Charleston, SC
| | - Jeffrey Waltz
- Department of Radiology and Radiological Sciences, Medical University of South Carolina, Charleston, SC
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Bak SH, Park H, Sohn I, Lee SH, Ahn MJ, Lee HY. Prognostic Impact of Longitudinal Monitoring of Radiomic Features in Patients with Advanced Non-Small Cell Lung Cancer. Sci Rep 2019; 9:8730. [PMID: 31217441 PMCID: PMC6584670 DOI: 10.1038/s41598-019-45117-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Accepted: 05/31/2019] [Indexed: 01/10/2023] Open
Abstract
Tumor growth dynamics vary substantially in non-small cell lung cancer (NSCLC). We aimed to develop biomarkers reflecting longitudinal change of radiomic features in NSCLC and evaluate their prognostic power. Fifty-three patients with advanced NSCLC were included. Three primary variables reflecting patterns of longitudinal change were extracted: area under the curve of longitudinal change (AUC1), beta value reflecting slope over time, and AUC2, a value obtained by considering the slope and area over the longitudinal change of features. We constructed models for predicting survival with multivariate cox regression, and identified the performance of these models. AUC2 exhibited an excellent correlation between patterns of longitudinal volume change and a significant difference in overall survival time. Multivariate regression analysis based on cut-off values of radiomic features extracted from baseline CT and AUC2 showed that kurtosis of positive pixel values and surface area from baseline CT, AUC2 of density, skewness of positive pixel values, and entropy at inner portion were associated with overall survival. For the prediction model, the areas under the receiver operating characteristic curve (AUROC) were 0.948 and 0.862 at 1 and 3 years of follow-up, respectively. Longitudinal change of radiomic tumor features may serve as prognostic biomarkers in patients with advanced NSCLC.
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Affiliation(s)
- So Hyeon Bak
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
- Department of Radiology, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon, Korea
| | - Hyunjin Park
- School of Electronic and Electrical Engineering, Sungkyunkwan University, Suwon, Korea
- Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science, Suwon, Korea
| | - Insuk Sohn
- Statistics and Data Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Korea
| | - Seung Hak Lee
- Department of Electronic Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Korea
| | - Myung-Ju Ahn
- Division of Hematology/Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Ho Yun Lee
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
- Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea.
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Development of Improved Version of Quality of Life Assessment Instrument for Lung Cancer Patients Based on Traditional Chinese Medicine (QLASTCM-Lu). Chin J Integr Med 2018; 25:831-836. [PMID: 30484019 DOI: 10.1007/s11655-018-2991-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/25/2018] [Indexed: 12/19/2022]
Abstract
OBJECTIVE To develop an improved version of the Quality-of-Life Assessment instrument for Lung Cancer Patients Based on Traditional Chinese Medicine (QLASTCM-Lu) and to evaluate its psychometric property. METHODS The structured group method and the theory in developing rating scale were employed to revise the preliminary scale. The psychometric property (reliability, validity, and responsiveness) of the established QLASTCM-Lu (modified) were evaluated by quality of life data measured in 100 lung cancer patients. Statistical analyses were made accordingly by way of correlation analysis, factor analysis and paired t-test. RESULTS The internal consistency reliability of the overall scale and all domains was from 0.80 to 0.94. Correlation and factor analyses demonstrated that the scale was good in construct validity. The criterion validity was formed with European Organization for Research and Treatment of Cancer-Quality of Life Questionnaire-Lung Cancer (EORTC QLQ-LC43) as the criterion. Statistically significant changes were found apart from such domain as "mental condition" and "social function", with the standardized response means being close to those of QLQ-LC43. CONCLUSION QLASTCM-Lu (modified) could be used to measure the quality of life of lung cancer patients with good reliability, validity and a certain degree of responsiveness.
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Dual-Energy Computed Tomography-Based Iodine Quantitation for Response Evaluation of Lung Cancers to Chemoradiotherapy/Radiotherapy: A Comparison With Fluorine-18 Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography-Based Positron Emission Tomography/Computed Tomography Response Evaluation Criterion in Solid Tumors. J Comput Assist Tomogr 2018; 42:614-622. [PMID: 29613988 DOI: 10.1097/rct.0000000000000734] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
OBJECTIVE The objective of this study was to investigate the correlation between dual-energy computed tomography (DECT)-based iodine quantitation and fluorine-18 fluorodeoxyglucose (F-FDG) positron emission tomography (PET)/computed tomography (CT) imaging for response evaluation of lung cancers to treatment. METHODS In this prospective study, a total of 32 pairs of DECT and F-FDG PET/CT imaging acquired consecutively from 13 patients with primary or metastatic lung cancers receiving either radiotherapy alone or chemoradiotherapy were analyzed. Imaging examinations were performed before, immediately, and no later than 6 months after treatment for response evaluation. Iodine-related parameters including the total iodine uptake (TIU) and vital volume (VIV) from DECT and metabolic metrics such as the standardized uptake value normalized to lean body mass (SULpeak), metabolic tumor volume (MTV), and the total lesion glycolysis (TLG) from F-FDG-PET/CT were generated and measured by semiautomatic approaches. Dual-energy CT and PET/CT metrics were calculated and followed up with comparison with response evaluation criteria in solid tumors (RECIST). RESULTS Analysis of pretreatment imaging data revealed a strong correlation between DECT metrics (RECIST, TIU, and VIV) and F-FDG PET/CT metrics (MTV, TLG) with coefficients of R ranging from 0.86 to 0.90 (P < 0.01). With the delivery of treatment, all measured DECT and PET/CT metrics significantly decreased whereas the descending amplitude in RECIST was significantly smaller than that of the remaining parameters (P < 0.05). During follow-up examinations, both metrics followed a similar changing pattern. Overall, strong consistency was found between RECIST, TIU, VIV and SULpeak, MTV, TLG (R covers 0.78-0.96, P < 0.05). CONCLUSIONS Semiautomatic iodine-related quantitation in DECT correlated well with metabolism-based measurements in F-FDG PET/CT, suggesting that DECT-based iodine quantitation might be a feasible substitute for assessment of lung cancer response to chemoradiotherapy/radiotherapy with comparison with F-FDG PET/CT.
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Jiao Y, Ren Y, Zheng X. [Quantitative Imaging Assessment of Tumor Response to Chemoradiation
in Lung Cancer]. ZHONGGUO FEI AI ZA ZHI = CHINESE JOURNAL OF LUNG CANCER 2017. [PMID: 28641699 PMCID: PMC5973359 DOI: 10.3779/j.issn.1009-3419.2017.06.07] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
精准医疗的实施要求及时准确地对治疗疗效进行评估,以便于治疗方案的调整和优化,从而进一步提高疗效,改善预后。以定量评估为基础的影像组学以其无创、直观和可重复的特点在临床疗效评估方面具有不可替代的作用。本文将综述定量影像学在肺癌放化疗疗效评估中的应用现状及其相关进展。
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Affiliation(s)
- Yuxin Jiao
- Department of Radiology Oncology;Department of Radiology, Fudan University Huadong Hospital, Shanghai 200040, China
| | - Yanping Ren
- Department of Radiology Oncology, Fudan University Huadong Hospital, Shanghai 200040, China
| | - Xiangpeng Zheng
- Department of Radiology Oncology;Zhang Guozhen Diagnosis and Treatment Center of Micronodular Lung Cancer (DTC-MLC), Fudan University Huadong Hospital, Shanghai 200040, China
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