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Zhi H, Xiang Y, Chen C, Zhang W, Lin J, Gao Z, Shen Q, Shao J, Yang X, Yang Y, Chen X, Zheng J, Lu M, Pan B, Dong Q, Shen X, Ma C. Development and validation of a machine learning-based 18F-fluorodeoxyglucose PET/CT radiomics signature for predicting gastric cancer survival. Cancer Imaging 2024; 24:99. [PMID: 39080806 PMCID: PMC11290137 DOI: 10.1186/s40644-024-00741-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2024] [Accepted: 07/13/2024] [Indexed: 08/02/2024] Open
Abstract
BACKGROUND Survival prognosis of patients with gastric cancer (GC) often influences physicians' choice of their follow-up treatment. This study aimed to develop a positron emission tomography (PET)-based radiomics model combined with clinical tumor-node-metastasis (TNM) staging to predict overall survival (OS) in patients with GC. METHODS We reviewed the clinical information of a total of 327 patients with pathological confirmation of GC undergoing 18 F-fluorodeoxyglucose (18 F-FDG) PET scans. The patients were randomly classified into training (n = 229) and validation (n = 98) cohorts. We extracted 171 PET radiomics features from the PET images and determined the PET radiomics scores (RS) using the least absolute shrinkage and selection operator (LASSO) and random survival forest (RSF). A radiomics model, including PET RS and clinical TNM staging, was constructed to predict the OS of patients with GC. This model was evaluated for discrimination, calibration, and clinical usefulness. RESULTS On multivariate COX regression analysis, the difference between age, carcinoembryonic antigen (CEA), clinical TNM, and PET RS in GC patients was statistically significant (p < 0.05). A radiomics model was developed based on the results of COX regression. The model had the Harrell's concordance index (C-index) of 0.817 in the training cohort and 0.707 in the validation cohort and performed better than a single clinical model and a model with clinical features combined with clinical TNM staging. Further analyses showed higher PET RS in patients who were older (p < 0.001) and those who had elevated CEA (p < 0.001) and higher clinical TNM (p < 0.001). At different clinical TNM stages, a higher PET RS was associated with a worse survival prognosis. CONCLUSIONS Radiomics models based on PET RS, clinical TNM, and clinical features may provide new tools for predicting OS in patients with GC.
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Affiliation(s)
- Huaiqing Zhi
- Department of General Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Yilan Xiang
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Chenbin Chen
- Department of General Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
- Zhejiang Key Laboratory of Intelligent Cancer Biomarker Discovery and Translation, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Weiteng Zhang
- Department of General Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Jie Lin
- Department of PET/CT, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
- Zhejiang Key Laboratory of Intelligent Cancer Biomarker Discovery and Translation, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Zekan Gao
- Department of General Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Qingzheng Shen
- Department of General Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Jiancan Shao
- Department of General Surgery, The Second Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Xinxin Yang
- Department of General Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Yunjun Yang
- Department of PET/CT, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Xiaodong Chen
- Department of General Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
- Zhejiang Key Laboratory of Intelligent Cancer Biomarker Discovery and Translation, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Jingwei Zheng
- Department of General Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Mingdong Lu
- Department of General Surgery, The Second Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Bujian Pan
- Department of General Surgery, The Second Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Qiantong Dong
- Department of General Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China.
- Zhejiang Key Laboratory of Intelligent Cancer Biomarker Discovery and Translation, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China.
| | - Xian Shen
- Department of General Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China.
- Zhejiang Key Laboratory of Intelligent Cancer Biomarker Discovery and Translation, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China.
| | - Chunxue Ma
- Department of Gastrointestinal Surgery Nursing Unit, Ward 443, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China.
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Li X, Tian S, Ma C, Chen L, Qin J, Wang N, Lin L, Liu A. Multimodal MRI for Estimating Her-2 Gene Expression in Endometrial Cancer. Bioengineering (Basel) 2023; 10:1399. [PMID: 38135990 PMCID: PMC10740753 DOI: 10.3390/bioengineering10121399] [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: 10/16/2023] [Revised: 11/15/2023] [Accepted: 11/27/2023] [Indexed: 12/24/2023] Open
Abstract
PURPOSE To assess the value of multimodal MRI, including amide proton transfer-weighted imaging (APT), diffusion kurtosis imaging (DKI), and T2 mapping sequences for estimating human epidermal growth factor receptor-2 (Her-2) expression in patients with endometrial cancer (EC). METHODS A total of 54 patients with EC who underwent multimodal pelvic MRI followed by biopsy were retrospectively selected and divided into the Her-2 positive (n = 24) and Her-2 negative (n = 30) groups. Her-2 expression was confirmed by immunohistochemistry (IHC). Two observers measured APT, mean kurtosis (MK), mean diffusivity (MD), and T2 values for EC lesions. RESULTS The Her-2 (+) group showed higher APT values and lower MD and T2 values than the Her-2 (-) group (all p < 0.05); there was no significant difference in MK values (p > 0.05). The area under the receiver operating characteristic curve (AUC) of APT, MD, T2, APT + T2, APT + MD, T2 + MD, and APT + MD + T2 models to identify the two groups of cases were 0.824, 0.695, 0.721, 0.824, 0.858, 0.782, and 0.860, respectively, and the diagnostic efficacy after combined APT + MD + T2 value was significantly higher than those of MD and T2 values individually (p = 0.018, 0.028); the diagnostic efficacy of the combination of APT + T2 values was significantly higher than that of T2 values separately (p = 0.028). Weak negative correlations were observed between APT and T2 values (r = -0.365, p = 0.007), moderate negative correlations between APT and MD values (r = -0.560, p < 0.001), and weak positive correlations between MD and T2 values (r = 0.336, p = 0.013). The APT values were independent predictors for assessing Her-2 expression in EC patients. CONCLUSION The APT, DKI, and T2 mapping sequences can be used to preoperatively assess the Her-2 expression in EC, which can contribute to more precise treatment for clinical preoperative.
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Affiliation(s)
- Xiwei Li
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China; (X.L.)
| | - Shifeng Tian
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China; (X.L.)
| | - Changjun Ma
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China; (X.L.)
| | - Lihua Chen
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China; (X.L.)
| | - Jingwen Qin
- Department of Pathology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - Nan Wang
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China; (X.L.)
| | - Liangjie Lin
- Clinical and Technical Support, Philips Healthcare, Beijing 100016, China
| | - Ailian Liu
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China; (X.L.)
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Hernandez MC, Yazaki P, Mortimer JE, Yamauchi D, Poku E, Park J, Frankel P, Kim J, Colcher DM, Wong J, Fong Y, Shively J, Woo Y. Pilot study of HER2 targeted 64 Cu-DOTA-tagged PET imaging in gastric cancer patients. Nucl Med Commun 2023; 44:1151-1155. [PMID: 37901917 PMCID: PMC10872802 DOI: 10.1097/mnm.0000000000001761] [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] [Indexed: 10/31/2023]
Abstract
OBJECTIVE Human epidermal growth factor receptor 2 (HER2) is an important biomarker for targeted gastric cancer (GC) immunotherapy. However, heterogeneous HER2 overexpression in GC, loss of HER2 expression during therapy, and inability to non-invasively identify HER2 overexpressing tumors impede effective targeting therapies. Improved HER2-specific functional imaging can address these challenges. Trastuzumab is a HER2-directed mAb to treat HER2 overexpressing cancers. The 64 Cu-DOTA-trastuzumab radiotracer is used to detect HER2+ metastatic breast cancer. We aimed to develop 64 Cu-DOTA-trastuzumab PET-CT to detect and characterize tumor uptake in HER2+ or - GC patients. METHODS We conducted a single-arm phase II pilot study exploring the feasibility of 64 Cu-DOTA-trastuzumab for PET imaging of HER2 overexpressing GC compared to HER2 non-expressing tumors. Eight patients with biopsy-confirmed gastric adenocarcinoma were included. Immunohistochemistry was used to evaluate primary tumor biopsies for HER2 overexpression. Patients were injected with 45 mg of cold trastuzumab followed by 5 mg of 64 Cu-DOTA-trastuzumab. PET-CT scans were performed 24-48 h post radiotracer injection and compared to standard staging CT scans. RESULTS We observed limited toxicity following 64 Cu-DOTA-trastuzumab injections. While there was uptake of the radiotracer in portions of HER2+ lesions, there was no statistically significant distinction between tumor and background by standardized uptake value analysis. CONCLUSION Despite the potential of 64 Cu-DOTA-trastuzumab PET imaging of HER2+ metastatic breast cancer, a 5 mg dose of this radiotracer injected 24-48 h before imaging was insufficient to identify HER2+ GC. These results inform future GC imaging studies to optimize biomarker-targeted therapies based on dosage and timing for more clinically relevant imaging.
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Affiliation(s)
- Matthew C. Hernandez
- Division of Surgical Oncology, Department of Surgery, City of Hope Comprehensive Cancer Center, Duarte, CA
| | - Paul Yazaki
- Department of Molecular Imaging and Therapy, Beckman Research Institute, City of Hope Medical Center, Duarte, CA
| | - Joanne E. Mortimer
- Department of Medical Oncology and Experimental Therapeutics, City of Hope Comprehensive Cancer Center and Beckman Research Institute, Duarte, CA
| | | | - Erasmus Poku
- Department of Radiation Oncology, City of Hope Comprehensive Cancer Center, Duarte, CA
| | - Jinha Park
- Department of Radiology, University of Iowa Hospitals and Clinics, Iowa City, IA
| | - Paul Frankel
- Department of Biostatistics, Beckman Research Institute, Duarte, CA
| | - Joseph Kim
- Division of Surgical Oncology, Department of Surgery, UK Healthcare, University of Kentucky, Lexington, KY
| | - David M. Colcher
- Department of Medical Oncology and Experimental Therapeutics, City of Hope Comprehensive Cancer Center and Beckman Research Institute, Duarte, CA
| | - Jeffrey Wong
- Department of Radiation Oncology, City of Hope Comprehensive Cancer Center, Duarte, CA
| | - Yuman Fong
- Division of Surgical Oncology, Department of Surgery, City of Hope Comprehensive Cancer Center, Duarte, CA
| | - John Shively
- Department of Immunology, Beckman Research Institute, City of Hope, Duarte, CA
| | - Yanghee Woo
- Division of Surgical Oncology, Department of Surgery, City of Hope Comprehensive Cancer Center, Duarte, CA
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Kim CG, Koh JY, Shin SJ, Shin JH, Hong M, Chung HC, Rha SY, Kim HS, Lee CK, Lee JH, Han Y, Kim H, Che X, Yun UJ, Kim H, Kim JH, Lee SY, Park SK, Park S, Kim H, Ahn JY, Jeung HC, Lee JS, Nam YD, Jung M. Prior antibiotic administration disrupts anti-PD-1 responses in advanced gastric cancer by altering the gut microbiome and systemic immune response. Cell Rep Med 2023; 4:101251. [PMID: 37890486 PMCID: PMC10694627 DOI: 10.1016/j.xcrm.2023.101251] [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: 11/11/2022] [Revised: 04/13/2023] [Accepted: 09/27/2023] [Indexed: 10/29/2023]
Abstract
Evidence on whether prior antibiotic (pATB) administration modulates outcomes of programmed cell death protein-1 (PD-1) inhibitors in advanced gastric cancer (AGC) is scarce. In this study, we find that pATB administration is consistently associated with poor progression-free survival (PFS) and overall survival (OS) in multiple cohorts consisting of patients with AGC treated with PD-1 inhibitors. In contrast, pATB does not affect outcomes among patients treated with irinotecan. Multivariable analysis of the overall patients treated with PD-1 inhibitors confirms that pATB administration independently predicts worse PFS and OS. Administration of pATBs is associated with diminished gut microbiome diversity, reduced abundance of Lactobacillus gasseri, and disproportional enrichment of circulating exhaustive CD8+ T cells, all of which are associated with worse outcomes. Considering the inferior treatment response and poor survival outcomes by pATB administration followed by PD-1 blockade, ATBs should be prescribed with caution in patients with AGC who are planning to receive PD-1 inhibitors.
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Affiliation(s)
- Chang Gon Kim
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - June-Young Koh
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea; Genome Insight, Inc., Daejeon, Republic of Korea
| | - Su-Jin Shin
- Department of Pathology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Ji-Hee Shin
- Research Group of Personalized Diet, Korea Food Research Institute, Wanju, Republic of Korea
| | - Moonki Hong
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hyun Cheol Chung
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea; Songdang Institute for Cancer Research, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Sun Young Rha
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea; Songdang Institute for Cancer Research, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hyo Song Kim
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Choong-Kun Lee
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Ji Hyun Lee
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Yejeong Han
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hyoyong Kim
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Xiumei Che
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Un-Jung Yun
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hyunki Kim
- Department of Pathology, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jee Hung Kim
- Division of Medical Oncology, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Seo Young Lee
- Division of Medical Oncology, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Su Kyoung Park
- Deparment of Medical Records, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Sejung Park
- Songdang Institute for Cancer Research, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hyunwook Kim
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jin Young Ahn
- Division of Infectious Diseases, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hei-Cheul Jeung
- Division of Medical Oncology, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
| | - Jeong Seok Lee
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea; Genome Insight, Inc., Daejeon, Republic of Korea.
| | - Young-Do Nam
- Research Group of Personalized Diet, Korea Food Research Institute, Wanju, Republic of Korea.
| | - Minkyu Jung
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea; Songdang Institute for Cancer Research, Yonsei University College of Medicine, Seoul, Republic of Korea.
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Kim CG, Jung M, Kim HS, Lee CK, Jeung HC, Koo DH, Bae WK, Zang DY, Kim BJ, Kim H, Yun UJ, Che J, Park S, Kim TS, Kwon WS, Park J, Cho SW, Nam CM, Chung HC, Rha SY. Trastuzumab Combined With Ramucirumab and Paclitaxel in Patients With Previously Treated Human Epidermal Growth Factor Receptor 2-Positive Advanced Gastric or Gastroesophageal Junction Cancer. J Clin Oncol 2023; 41:4394-4405. [PMID: 37364218 DOI: 10.1200/jco.22.02122] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 02/20/2023] [Accepted: 05/01/2023] [Indexed: 06/28/2023] Open
Abstract
PURPOSE Trastuzumab-containing chemotherapy is the recommended first-line regimen for human epidermal growth factor receptor 2 (HER2)-positive advanced gastric or gastroesophageal junction (G/GEJ) cancer. We evaluated the safety and efficacy of trastuzumab combined with ramucirumab and paclitaxel as second-line treatment for HER2-positive G/GEJ cancer. PATIENTS AND METHODS Patients with HER2-positive advanced G/GEJ cancer who progressed after first-line treatment with trastuzumab-containing chemotherapy were enrolled from five centers in the Republic of Korea. Patients were administered a 28-day cycle of trastuzumab (once on days 1, 8, 15, and 22: 2 mg/kg followed by 4 mg/kg loading dose), ramucirumab (once on days 1 and 15: 8 mg/kg), and paclitaxel (once on days 1, 8, and 15: dose level 1, 80 mg/m2; or dose level -1, 70 mg/m2). Phase II was conducted with the recommended phase II dose (RP2D). Primary end points were determination of RP2D during phase Ib and investigator-assessed progression-free survival (PFS) in patients treated with RP2D. RESULTS Dose-limiting toxicity at dose level 1 was not documented during phase Ib, and a full dose combination was selected as the RP2D. Among 50 patients with a median follow-up duration of 27.5 months (95% CI, 17.4 to 37.6), median PFS and overall survival were 7.1 months (95% CI, 4.8 to 9.4) and 13.6 months (95% CI, 9.4 to 17.7), respectively. Objective response rate was 54% (27 of 50, including one complete response), and disease control rate was 96% (48 of 50). Loss of HER2 expression was observed in 34.8% (8 of 23) patients after first-line treatment, and no definite association between HER2 expression and the outcome was revealed. Safety profiles were consistent with previous reports. CONCLUSION Trastuzumab combined with ramucirumab and paclitaxel showed appreciable efficacy with manageable safety profiles in patients with previously treated HER2-positive G/GEJ cancer.
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Affiliation(s)
- Chang Gon Kim
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Minkyu Jung
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hyo Song Kim
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Choong-Kun Lee
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hei-Cheul Jeung
- Division of Medical Oncology, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Dong-Hoe Koo
- Divison of Hematology-Oncology, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Woo Kyun Bae
- Division of Hematology-Oncology, Department of Internal Medicine, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, Republic of Korea
| | - Dae Young Zang
- Division of Hematology-Oncology, Department of Internal Medicine, Hallym University Medical Center, Hallym University College of Medicine, Anyang, Republic of Korea
| | - Bum Jun Kim
- Division of Hematology-Oncology, Department of Internal Medicine, Hallym University Medical Center, Hallym University College of Medicine, Anyang, Republic of Korea
| | - Hyunki Kim
- Department of Pathology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Un-Jung Yun
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea
- Songdang Institute for Cancer Research, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jingmin Che
- Songdang Institute for Cancer Research, Yonsei University College of Medicine, Seoul, Republic of Korea
- MD Biolab Co, Ltd, Seoul, Republic of Korea
| | - Sejung Park
- Songdang Institute for Cancer Research, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Tae Soo Kim
- Songdang Institute for Cancer Research, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Woo Sun Kwon
- Songdang Institute for Cancer Research, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Juin Park
- Songdang Institute for Cancer Research, Yonsei University College of Medicine, Seoul, Republic of Korea
- Department of Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Sang Woo Cho
- Songdang Institute for Cancer Research, Yonsei University College of Medicine, Seoul, Republic of Korea
- Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Chung Mo Nam
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hyun Cheol Chung
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Sun Young Rha
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea
- Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea
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Bai JW, Qiu SQ, Zhang GJ. Molecular and functional imaging in cancer-targeted therapy: current applications and future directions. Signal Transduct Target Ther 2023; 8:89. [PMID: 36849435 PMCID: PMC9971190 DOI: 10.1038/s41392-023-01366-y] [Citation(s) in RCA: 30] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Revised: 01/19/2023] [Accepted: 02/14/2023] [Indexed: 03/01/2023] Open
Abstract
Targeted anticancer drugs block cancer cell growth by interfering with specific signaling pathways vital to carcinogenesis and tumor growth rather than harming all rapidly dividing cells as in cytotoxic chemotherapy. The Response Evaluation Criteria in Solid Tumor (RECIST) system has been used to assess tumor response to therapy via changes in the size of target lesions as measured by calipers, conventional anatomically based imaging modalities such as computed tomography (CT), and magnetic resonance imaging (MRI), and other imaging methods. However, RECIST is sometimes inaccurate in assessing the efficacy of targeted therapy drugs because of the poor correlation between tumor size and treatment-induced tumor necrosis or shrinkage. This approach might also result in delayed identification of response when the therapy does confer a reduction in tumor size. Innovative molecular imaging techniques have rapidly gained importance in the dawning era of targeted therapy as they can visualize, characterize, and quantify biological processes at the cellular, subcellular, or even molecular level rather than at the anatomical level. This review summarizes different targeted cell signaling pathways, various molecular imaging techniques, and developed probes. Moreover, the application of molecular imaging for evaluating treatment response and related clinical outcome is also systematically outlined. In the future, more attention should be paid to promoting the clinical translation of molecular imaging in evaluating the sensitivity to targeted therapy with biocompatible probes. In particular, multimodal imaging technologies incorporating advanced artificial intelligence should be developed to comprehensively and accurately assess cancer-targeted therapy, in addition to RECIST-based methods.
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Affiliation(s)
- Jing-Wen Bai
- Fujian Key Laboratory of Precision Diagnosis and Treatment in Breast Cancer, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, 361100, Xiamen, China
- Xiamen Key Laboratory of Endocrine-Related Cancer Precision Medicine, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, 361100, Xiamen, China
- Xiamen Research Center of Clinical Medicine in Breast and Thyroid Cancers, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, 361100, Xiamen, China
- Department of Breast-Thyroid-Surgery and Cancer Center, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, 361100, Xiamen, China
- Department of Medical Oncology, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, 361100, Xiamen, China
- Cancer Research Center of Xiamen University, School of Medicine, Xiamen University, 361100, Xiamen, China
| | - Si-Qi Qiu
- Diagnosis and Treatment Center of Breast Diseases, Clinical Research Center, Shantou Central Hospital, 515041, Shantou, China
- Guangdong Provincial Key Laboratory for Breast Cancer Diagnosis and Treatment, Shantou University Medical College, 515041, Shantou, China
| | - Guo-Jun Zhang
- Fujian Key Laboratory of Precision Diagnosis and Treatment in Breast Cancer, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, 361100, Xiamen, China.
- Xiamen Key Laboratory of Endocrine-Related Cancer Precision Medicine, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, 361100, Xiamen, China.
- Xiamen Research Center of Clinical Medicine in Breast and Thyroid Cancers, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, 361100, Xiamen, China.
- Department of Breast-Thyroid-Surgery and Cancer Center, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, 361100, Xiamen, China.
- Cancer Research Center of Xiamen University, School of Medicine, Xiamen University, 361100, Xiamen, China.
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Incremental value of PET primary lesion-based radiomics signature to conventional metabolic parameters and traditional risk factors for preoperative prediction of lymph node metastases in gastric cancer. Abdom Radiol (NY) 2023; 48:510-518. [PMID: 36418614 DOI: 10.1007/s00261-022-03738-4] [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: 04/26/2022] [Revised: 10/30/2022] [Accepted: 10/31/2022] [Indexed: 11/24/2022]
Abstract
BACKGROUND Precise preoperative prediction of lymph node metastasis (LNM) is crucial for optimal diagnosis and treatment in patients with gastric cancer (GC), in which existing imaging methods have certain limitations. We hypothesized that PET primary lesion-based radiomics signature could provide incremental value to conventional metabolic parameters and traditional risk indicators in predicting LNM in patients with GC. METHODS This retrospective study was performed in 127 patients with GC who underwent preoperative PET/CT. Basic clinical data and PET conventional metabolic parameters were collected. Radiomics signature was constructed by the least absolute shrinkage and selection operator algorithm (LASSO) logistic regression. Based on the postoperative histological results, the patients were divided into LNM group and non-lymph node metastasis (NLNM) group. Receiver-operating characteristic (ROC) was used to evaluate the discriminatory ability of Radiomics score (Rad-score) for predicting LNM and determine whether adding Rad-score to PET conventional metabolic parameters and traditional risk factors could improve the predictive value in LNM. The Integrated discrimination improvement (IDI) and net reclassification improvement (NRI) were calculated to further confirm the incremental value of Rad-score for predicting LNM in GC. RESULTS The LNM group had higher Rad-score than NLNM group [(0.35 (-0.13-0.85) vs. -0.61 (-1.92-0.18), P < 0 .001)]. After adjusted for gender, age, BMI, and FBG, multivariable logistic regression analysis illustrated that Rad-score (OR: 6.38, 95% CI: 2.73-14.91, P < 0.0001) was independent risk factors for LNM in GC. Adding PET conventional parameters to traditional risk factors increased the predictive value of LNM in GC (AUC 0.751 vs 0.651, P = 0.02). Additional inclusion of Rad-score to conventional metabolic parameters and traditional risk indicators significantly improved the AUC (0.882 vs 0.751; P = 0.006). Bootstrap resampling (times = 500) was used for internal verification, 95% confidence interval (CI) was 0.802-0.948, with the sensitivity equaled to 89.5%, and positive predictive value (PPV) was 93.5%. When Rad-score was added to conventional metabolic parameters and traditional risk indicators, net reclassification improvement (NRI) was 0.293 (P = 0.0040) and integrated discrimination improvement (IDI) was 0.293 (P = 0.0045). CONCLUSION In GC patients, PET Radiomics signature of the primary lesion-based was significantly associated with LNM and could improve the prediction of LNM above PET conventional metabolic parameters and traditional risk factors, which could provide incremental value for individual diagnosis and treatment of GC.
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Zhao H, Liang P, Yong L, Cheng M, Zhang Y, Huang M, Gao J. Development and external validation of a radiomics model for assessment of HER2 positivity in men and women presenting with gastric cancer. Insights Imaging 2023; 14:20. [PMID: 36720737 PMCID: PMC9889592 DOI: 10.1186/s13244-022-01361-x] [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: 10/06/2022] [Accepted: 12/19/2022] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND To develop and externally validate a conventional CT-based radiomics model for identifying HER2-positive status in gastric cancer (GC). METHODS 950 GC patients who underwent pretreatment CT were retrospectively enrolled and assigned into a training cohort (n = 388, conventional CT), an internal validation cohort (n = 325, conventional CT) and an external validation cohort (n = 237, dual-energy CT, DECT). Radiomics features were extracted from venous phase images to construct the "Radscore". On the basis of univariate and multivariate analyses, a conventional CT-based radiomics model was built in the training cohort, combining significant clinical-laboratory characteristics and Radscore. The model was assessed and validated regarding its diagnostic effectiveness and clinical practicability using AUC and decision curve analysis, respectively. RESULTS Location, clinical TNM staging, CEA, CA199, and Radscore were independent predictors of HER2 status (all p < 0.05). Integrating these five indicators, the proposed model exerted a favorable diagnostic performance with AUCs of 0.732 (95%CI 0.683-0.781), 0.703 (95%CI 0.624-0.783), and 0.711 (95%CI 0.625-0.798) observed for the training, internal validation, and external validation cohorts, respectively. Meanwhile, the model would offer more net benefits than the default simple schemes and its performance was not affected by the age, gender, location, immunohistochemistry results, and type of tissue for confirmation (all p > 0.05). CONCLUSIONS The conventional CT-based radiomics model had a good diagnostic performance of HER2 positivity in GC and the potential to generalize to DECT, which is beneficial to simplify clinical workflow and help clinicians initially identify potential candidates who might benefit from HER2-targeted therapy.
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Affiliation(s)
- Huiping Zhao
- grid.440288.20000 0004 1758 0451Department of CT, Shaanxi Provincial People’s Hospital, No. 256, Youyi West Road, Xi’an, 710068 Shaanxi Province China ,grid.412633.10000 0004 1799 0733Department of Radiology, The First Affiliated Hospital of Zhengzhou University, No. 1, East Jianshe Road, Zhengzhou, 450052 Henan Province China ,Henan Key Laboratory of Image Diagnosis and Treatment for Digestive System Tumor & Henan International Joint Laboratory of Medical Imaging & Henan Engineering Laboratory of Tumor Imaging & Henan Key Laboratory of CT Imaging & Zhengzhou Key Laboratory of Medical Imaging Technology and Diagnosis, No. 1, East Jianshe Road, Zhengzhou, 450052 Henan Province China
| | - Pan Liang
- grid.412633.10000 0004 1799 0733Department of Radiology, The First Affiliated Hospital of Zhengzhou University, No. 1, East Jianshe Road, Zhengzhou, 450052 Henan Province China ,Henan Key Laboratory of Image Diagnosis and Treatment for Digestive System Tumor & Henan International Joint Laboratory of Medical Imaging & Henan Engineering Laboratory of Tumor Imaging & Henan Key Laboratory of CT Imaging & Zhengzhou Key Laboratory of Medical Imaging Technology and Diagnosis, No. 1, East Jianshe Road, Zhengzhou, 450052 Henan Province China
| | - Liuliang Yong
- grid.412633.10000 0004 1799 0733Department of Radiology, The First Affiliated Hospital of Zhengzhou University, No. 1, East Jianshe Road, Zhengzhou, 450052 Henan Province China ,Henan Key Laboratory of Image Diagnosis and Treatment for Digestive System Tumor & Henan International Joint Laboratory of Medical Imaging & Henan Engineering Laboratory of Tumor Imaging & Henan Key Laboratory of CT Imaging & Zhengzhou Key Laboratory of Medical Imaging Technology and Diagnosis, No. 1, East Jianshe Road, Zhengzhou, 450052 Henan Province China
| | - Ming Cheng
- Henan Key Laboratory of Image Diagnosis and Treatment for Digestive System Tumor & Henan International Joint Laboratory of Medical Imaging & Henan Engineering Laboratory of Tumor Imaging & Henan Key Laboratory of CT Imaging & Zhengzhou Key Laboratory of Medical Imaging Technology and Diagnosis, No. 1, East Jianshe Road, Zhengzhou, 450052 Henan Province China ,grid.412633.10000 0004 1799 0733Department of Medical Information, The First Affiliated Hospital of Zhengzhou University, No. 1, East Jianshe Road, Zhengzhou, 450052 Henan Province China
| | - Yan Zhang
- grid.440288.20000 0004 1758 0451Department of CT, Shaanxi Provincial People’s Hospital, No. 256, Youyi West Road, Xi’an, 710068 Shaanxi Province China
| | - Minggang Huang
- grid.440288.20000 0004 1758 0451Department of CT, Shaanxi Provincial People’s Hospital, No. 256, Youyi West Road, Xi’an, 710068 Shaanxi Province China
| | - Jianbo Gao
- grid.412633.10000 0004 1799 0733Department of Radiology, The First Affiliated Hospital of Zhengzhou University, No. 1, East Jianshe Road, Zhengzhou, 450052 Henan Province China ,Henan Key Laboratory of Image Diagnosis and Treatment for Digestive System Tumor & Henan International Joint Laboratory of Medical Imaging & Henan Engineering Laboratory of Tumor Imaging & Henan Key Laboratory of CT Imaging & Zhengzhou Key Laboratory of Medical Imaging Technology and Diagnosis, No. 1, East Jianshe Road, Zhengzhou, 450052 Henan Province China
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Ma D, Zhang Y, Shao X, Wu C, Wu J. PET/CT for Predicting Occult Lymph Node Metastasis in Gastric Cancer. Curr Oncol 2022; 29:6523-6539. [PMID: 36135082 PMCID: PMC9497704 DOI: 10.3390/curroncol29090513] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 08/11/2022] [Accepted: 09/06/2022] [Indexed: 11/28/2022] Open
Abstract
A portion of gastric cancer patients with negative lymph node metastasis at an early stage eventually die from tumor recurrence or advanced metastasis. Occult lymph node metastasis (OLNM] is a potential risk factor for the recurrence and metastasis in these patients, and it is highly important for clinical prognosis. Positron emission tomography (PET)/computed tomography (CT) is used to assess lymph node metastasis in gastric cancer due to its advantages in anatomical and functional imaging and non-invasive nature. Among the major metabolic parameters of PET, the maximum standardized uptake value (SUVmax) is commonly used for examining lymph node status. However, SUVmax is susceptible to interference by a variety of factors. In recent years, the exploration of new PET metabolic parameters, new PET imaging agents and radiomics, has become an active research topic. This paper aims to explore the feasibility and predict the effectiveness of using PET/CT to detect OLNM. The current landscape and future trends of primary metabolic parameters and new imaging agents of PET are reviewed. For gastric cancer patients, the possibility to detect OLNM non-invasively will help guide surgeons to choose the appropriate lymph node dissection area, thereby reducing unnecessary dissections and providing more reasonable, personalized and comprehensive treatments.
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Affiliation(s)
- Danyu Ma
- Department of Oncology, The Third Affiliated Hospital of Soochow University, Changzhou 213003, China
| | - Ying Zhang
- Department of Oncology, The Third Affiliated Hospital of Soochow University, Changzhou 213003, China
- Institute of Cell Therapy, Soochow University, Changzhou 213003, China
| | - Xiaoliang Shao
- Department of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou 213003, China
| | - Chen Wu
- Department of Oncology, The Third Affiliated Hospital of Soochow University, Changzhou 213003, China
- Institute of Cell Therapy, Soochow University, Changzhou 213003, China
- Correspondence: (C.W.); (J.W.)
| | - Jun Wu
- Department of Oncology, The Third Affiliated Hospital of Soochow University, Changzhou 213003, China
- Correspondence: (C.W.); (J.W.)
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Kim CG, Hong M, Jeung HC, Lee G, Chung HC, Rha SY, Kim HS, Lee CK, Lee JH, Han Y, Kim JH, Lee SY, Kim H, Shin SJ, Baek SE, Jung M. Hyperprogressive disease during PD-1 blockade in patients with advanced gastric cancer. Eur J Cancer 2022; 172:387-399. [PMID: 35839733 DOI: 10.1016/j.ejca.2022.05.042] [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] [Received: 01/18/2022] [Revised: 05/17/2022] [Accepted: 05/28/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND Investigations for programmed cell death-1 (PD-1) blockade-induced hyperprogressive disease (HPD) have not been stringently conducted in patients with advanced gastric cancer (AGC). We explored the occurrence of HPD and its clinical implications in patients with AGC and treated with PD-1 inhibitors. METHODS We enrolled 169 patients with AGC and treated with either the PD-1 blockade (nivolumab or pembrolizumab; N = 112) or irinotecan monotherapy (N = 57) as a single agent. Tumour growth dynamics based on tumour growth kinetics and tumour growth rate (TGR) and time to treatment failure were analysed to define HPD. The incidence, clinical consequences and predictive markers of HPD were investigated. RESULTS The optimal criteria for HPD were 4-fold increases in both tumour growth kinetics and TGR ratios and a 40% increase in TGR based on the analysis for patients treated with irinotecan. In total, 10.7% (12/112) of patients experienced HPD after PD-1 inhibitor treatment. Patients with HPD had both shorter progression-free survival (hazard ratio: 2.318; 95% confidence interval: 1.205-4.460) and overall survival (hazard ratio: 2.542; 95% confidence interval: 1.314-4.918) than patients with progressive disease without HPD, losing opportunities for subsequent systemic treatments. Although other variables including PD-L1 expression were not associated with the occurrence of HPD, hypoalbuminemia (<3.25 mg/dL) at baseline was significantly associated with the occurrence of HPD (P < 0.001) and inferior survival outcomes. CONCLUSIONS HPD occurs in a proportion of patients with AGC and treated with PD-1 inhibitors. PD-1 inhibitor-induced HPD is associated with worse outcome, loss of eligibility for subsequent treatment and hypoalbuminemia, warranting further investigation.
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Affiliation(s)
- Chang Gon Kim
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Moonki Hong
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hei-Cheul Jeung
- Division of Medical Oncology, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Garden Lee
- Division of Hemato-Oncology, Department of Internal Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Republic of Korea
| | - Hyun Cheol Chung
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Sun Young Rha
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hyo Song Kim
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Choong-Kun Lee
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Ji Hyun Lee
- Division of Hemato-Oncology, Department of Internal Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Republic of Korea
| | - Yejeong Han
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jee Hung Kim
- Division of Medical Oncology, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Seo Young Lee
- Division of Medical Oncology, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hyunki Kim
- Department of Pathology, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Su-Jin Shin
- Department of Pathology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Song-Ee Baek
- Division of Abdominal Imaging, Department of Radiology, Yonsei University College of Medicine, Seoul, Republic of Korea.
| | - Minkyu Jung
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea.
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Guan X, Lu N, Zhang J. Evaluation of Epidermal Growth Factor Receptor 2 Status in Gastric Cancer by CT-Based Deep Learning Radiomics Nomogram. Front Oncol 2022; 12:905203. [PMID: 35898877 PMCID: PMC9309372 DOI: 10.3389/fonc.2022.905203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 06/21/2022] [Indexed: 11/24/2022] Open
Abstract
Purpose To explore the role of computed tomography (CT)-based deep learning and radiomics in preoperative evaluation of epidermal growth factor receptor 2 (HER2) status in gastric cancer. Materials and methods The clinical data on gastric cancer patients were evaluated retrospectively, and 357 patients were chosen for this study (training cohort: 249; test cohort: 108). The preprocessed enhanced CT arterial phase images were selected for lesion segmentation, radiomics and deep learning feature extraction. We integrated deep learning features and radiomic features (Inte). Four methods were used for feature selection. We constructed models with support vector machine (SVM) or random forest (RF), respectively. The area under the receiver operating characteristics curve (AUC) was used to assess the performance of these models. We also constructed a nomogram including Inte-feature scores and clinical factors. Results The radiomics-SVM model showed good classification performance (AUC, training cohort: 0.8069; test cohort: 0.7869). The AUC of the ResNet50-SVM model and the Inte-SVM model in the test cohort were 0.8955 and 0.9055. The nomogram also showed excellent discrimination achieving greater AUC (training cohort, 0.9207; test cohort, 0.9224). Conclusion CT-based deep learning radiomics nomogram can accurately and effectively assess the HER2 status in patients with gastric cancer before surgery and it is expected to assist physicians in clinical decision-making and facilitates individualized treatment planning.
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Affiliation(s)
- Xiao Guan
- Department of General Surgery, The Second Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China
| | - Na Lu
- Department of General Surgery, The Second Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, China
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Xue XQ, Wang B, Yu WJ, Zhang FF, Niu R, Shao XL, Shi YM, Yang YS, Wang JF, Li XF, Wang YT. Relationship between total lesion glycolysis of primary lesions based on 18F-FDG PET/CT and lymph node metastasis in gastric adenocarcinoma: a cross-sectional preliminary study. Nucl Med Commun 2022; 43:114-121. [PMID: 34406147 DOI: 10.1097/mnm.0000000000001475] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
OBJECTIVES We explored the relationship between lymph node metastasis (LNM) and total lesion glycolysis (TLG) of primary lesions determined by 18fluoro-2-deoxyglucose PET/computed tomography (18F-FDG PET/CT) in patients with gastric adenocarcinoma, and evaluated the independent effect of this association. METHODS This retrospective study included 106 gastric adenocarcinoma patients who were examined by preoperative 18F-FDG PET/CT imaging between April 2016 and April 2020. We measured TLG of primary gastric lesions and evaluated its association with LNM. Multivariate logistic regression and a two-piece-wise linear regression were performed to evaluate the relationship between TLG of primary lesions and LNM. RESULTS Of the 106 patients, 75 cases (71%) had LNM and 31 cases (29%) did not have LNM. Univariate analyses revealed that a per-SD increase in TLG was independently associated with LNM [odds ratio (OR) = 2.37; 95% confidence interval (CI), 1.42-3.98; P = 0.0010]. After full adjustment of confounding factors, multivariate analyses exhibited that TLG of primary lesions was still significantly associated with LNM (OR per-SD: 2.20; 95% CI, 1.16-4.19; P = 0.0164). Generalized additive model indicated a nonlinear relationship and saturation effect between TLG of primary lesions and LNM. When TLG of primary lesions was <23.2, TLG was significantly correlated with LNM (OR = 1.26; 95% CI, 1.07-1.48; P = 0.0053), whereas when TLG of primary lesions was ≥ 23.2, the probability of LNM was greater than 60%, gradually reached saturation effect, as high as 80% or more. CONCLUSIONS In this preliminary study, there were saturation and segmentation effects between TLG of primary lesions determined by preoperative 18F-FDG PET/CT and LNM. When TLG of primary lesions was ≥ 23.2, the probability of LNM was greater than 60%, gradually reached saturation effect, as high as 80% or more. TLG of primary lesions is helpful in the preoperative diagnosis of LNM in patients with gastric adenocarcinoma.
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Affiliation(s)
- Xiu-Qing Xue
- Department of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou
- Department of Nuclear Medicine, The First People's Hospital of Yancheng City, Yancheng
- Department of Nuclear Medicine, Yancheng First Hospital, Affiliated Hospital of Nanjing University Medical School
| | - Bing Wang
- Department of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou
| | - Wen-Ji Yu
- Department of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou
| | - Fei-Fei Zhang
- Department of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou
| | - Rong Niu
- Department of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou
| | - Xiao-Liang Shao
- Department of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou
| | - Yun-Mei Shi
- Department of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou
| | - Yan-Song Yang
- Department of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou
| | - Jian-Feng Wang
- Department of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou
| | - Xiao-Feng Li
- Department of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou
| | - Yue-Tao Wang
- Department of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou
- Department of Nuclear Medicine, Changzhou Key Laboratory of Molecular Imaging, Changzhou, Jiangsu, China
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Guan L, Zuo R, Wang Z, Xu L, Liu S, Pang H. Associations of whole-body 18F-FDG PET/CT parameters and SCC-Ag level with overall survival in patients with cervical cancer. Nucl Med Commun 2022; 43:49-55. [PMID: 34887369 DOI: 10.1097/mnm.0000000000001493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
OBJECTIVE To explore the whole-body metabolic tumour volume (WBMTV), whole-body total lesion glycolysis (WBTLG) and tumour whole-body maximum standardised uptake value (WBSUVmax) of post-treatment 18F-fluorodeoxyglucose PET/computed tomography (18F-FDG PET/CT) in predicting the overall survival (OS) in patients with cervical squamous cell carcinoma (SCC). METHODS The clinical data of 74 patients with cervical SCC who received 18F-FDG PET/CT were retrospectively analysed. WBMTV, WBTLG and WBSUVmax, as well as the serum SCC-Ag level, were measured. The Kaplan-Meier method and Cox regression were used to analyse the relationships of PET/CT parameters with OS. RESULTS The risk of death was 13.942-fold greater in the PET-positive group than in the PET-negative group (P < 0.001). In the PET-positive group, univariate analysis showed that OS was significantly correlated with WBMTV and WBTLG; it was not correlated with WBSUVmax, SCC-Ag, age, pathological stage or treatment after PET (P > 0.05). Patients with positive PET findings were divided into two groups according to the median of WBMTV or WBTLG; there was a significant difference in OS between the two groups. The risk of death in patients with positive PET imaging findings and high SCC-Ag level was 18.356-fold greater than in patients with negative PET imaging findings (P < 0.001). CONCLUSIONS WBMTV and WBTLG have important prognostic value in the prediction of OS in post-treatment patients with cervical SCC. OS was significantly decreased in patients who had both positive PET imaging findings and high SCC-Ag level.
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Affiliation(s)
- Lili Guan
- Department of Nuclear Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China
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Dondi F, Albano D, Giubbini R, Bertagna F. 18F-FDG PET and PET/CT for the evaluation of gastric signet ring cell carcinoma: a systematic review. Nucl Med Commun 2021; 42:1293-1300. [PMID: 34456317 PMCID: PMC9897274 DOI: 10.1097/mnm.0000000000001481] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 02/24/2021] [Indexed: 02/04/2023]
Abstract
BACKGROUND In the last years, 18F-fluorodeoxyglucose PET/computed tomography (18F-FDG PET/CT) has demonstrated its utility for the evaluation of gastric cancer; however, considering some histotypes such as gastric signet ring cell carcinoma (GSRCC) the results are limited. The aim of this review is to analyze the diagnostic performance of 18F-FDG PET and PET/CT for the assessment of GSRCC. METHODS A wide literature search of the PubMed/MEDLINE, Scopus, Embase and Cochrane library databases was made to find relevant published articles about the diagnostic performance of 18F-FDG PET or PET/CT for the evaluation of GSRCC. RESULTS The comprehensive computer literature search revealed 179 articles. On reviewing the titles and abstracts, 162 articles were excluded because the reported data were not within the field of interest. Nine studies were included in the review and references were also screened for additional articles. Finally, 26 articles were selected and retrieved in full-text version. CONCLUSION Despite some limitations affect our review, GSRCC seems to have low 18F-FDG uptake, and therefore 18F-FDG PET or PET/CT reveals impaired sensitivity for its evaluation. However, a correlation between 18F-FDG uptake and some clinico-pathologic features (such as stage, depth of invasion, size and presence of nodal metastasis) has been demonstrated. Besides, a possible prognostic role of PET/CT features is starting to emerge.
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Affiliation(s)
- Francesco Dondi
- Nuclear Medicine, University of Brescia and ASST Spedali Civili di Brescia, Brescia, Italy
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Wang S, Chen Y, Zhang H, Liang Z, Bu J. The Value of Predicting Human Epidermal Growth Factor Receptor 2 Status in Adenocarcinoma of the Esophagogastric Junction on CT-Based Radiomics Nomogram. Front Oncol 2021; 11:707686. [PMID: 34722254 PMCID: PMC8552039 DOI: 10.3389/fonc.2021.707686] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 09/29/2021] [Indexed: 01/08/2023] Open
Abstract
Purpose We developed and validated a CT-based radiomics nomogram to predict HER2 status in patients with adenocarcinoma of esophagogastric junction (AEG). Method A total of 101 patients with HER2-positive (n=46) and HER2-negative (n=55) esophagogastric junction adenocarcinoma (AEG) were retrospectively analyzed. They were then randomly divided into a training cohort (n=70) and a verification cohort (n=31). The radiomics features were obtained from the portal phase of the CT enhanced scan. We used the least absolute shrinkage and selection operator (LASSO) logistic regression method to select the best radiomics features in the training cohort, combined them linearly, and used the radiomics signature formula to calculate the radiomics score (Rad-score) of each AEG patient. A multivariable logistic regression method was applied to develop a prediction model that incorporated the radiomics signature and independent risk predictors. The prediction performance of the nomogram was evaluated using the training and validation cohorts. Result In the training (P<0.001) and verification groups (P<0.001), the radiomics signature combined with seven radiomics features was significantly correlated with HER2 status. The nomogram composed of CT-reported T stage and radiomics signature showed very good predictive performance for HER2 status. The area under the curve (AUC) of the training cohort was 0.946 (95% CI: 0.919–0.973), and that of the validation group was 0.903 (95% CI: 0.847–0.959). The calibration curve of the radiomics nomogram showed a good degree of calibration. Decision-curve analysis revealed that the radiomics nomogram was useful. Conclusion The nomogram CT-based radiomics signature combined with CT-reported T stage can better predict the HER2 status of AEG before surgery. It can be used as a non-invasive prediction tool for HER2 status and is expected to guide clinical treatment decisions in clinical practice, and it can assist in the formulation of individualized treatment plans.
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Affiliation(s)
- Shuxing Wang
- Department of Radiology, Guangzhou Red Cross Hospital Affiliated to Jinan University, Guangdong, China
| | - Yiqing Chen
- Department of Radiology, Guangzhou Red Cross Hospital Affiliated to Jinan University, Guangdong, China
| | - Han Zhang
- Department of Radiology, Guangzhou Red Cross Hospital Affiliated to Jinan University, Guangdong, China
| | - Zhiping Liang
- Department of Radiology, Guangzhou Red Cross Hospital Affiliated to Jinan University, Guangdong, China
| | - Jun Bu
- Department of Radiology, Guangzhou Red Cross Hospital Affiliated to Jinan University, Guangdong, China
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Zhang H, Xu R, Ding M, Zhang Y. Prediction of Gastric Cancer-Related Proteins Based on Graph Fusion Method. Front Cell Dev Biol 2021; 9:739715. [PMID: 34790662 PMCID: PMC8591485 DOI: 10.3389/fcell.2021.739715] [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: 07/11/2021] [Accepted: 08/02/2021] [Indexed: 12/09/2022] Open
Abstract
Gastric cancer is a common malignant tumor of the digestive system with no specific symptoms. Due to the limited knowledge of pathogenesis, patients are usually diagnosed in advanced stage and do not have effective treatment methods. Proteome has unique tissue and time specificity and can reflect the influence of external factors that has become a potential biomarker for early diagnosis. Therefore, discovering gastric cancer-related proteins could greatly help researchers design drugs and develop an early diagnosis kit. However, identifying gastric cancer-related proteins by biological experiments is time- and money-consuming. With the high speed increase of data, it has become a hot issue to mine the knowledge of proteomics data on a large scale through computational methods. Based on the hypothesis that the stronger the association between the two proteins, the more likely they are to be associated with the same disease, in this paper, we constructed both disease similarity network and protein interaction network. Then, Graph Convolutional Networks (GCN) was applied to extract topological features of these networks. Finally, Xgboost was used to identify the relationship between proteins and gastric cancer. Results of 10-cross validation experiments show high area under the curve (AUC) (0.85) and area under the precision recall (AUPR) curve (0.76) of our method, which proves the effectiveness of our method.
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Affiliation(s)
| | | | - Meng Ding
- Endoscopy Center, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Ying Zhang
- Endoscopy Center, China-Japan Union Hospital of Jilin University, Changchun, China
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Ertürk SA, Hasbek Z, Özer H. The Relationship Between HER-2 Expression Levels and 18F-FDG PET/CT Parameters in Gastric Cancer. Mol Imaging Radionucl Ther 2021; 30:150-157. [PMID: 34658230 PMCID: PMC8522515 DOI: 10.4274/mirt.galenos.2021.78055] [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] [Indexed: 12/09/2022] Open
Abstract
Objectives: Human epidermal growth factor receptor-2 (HER-2) is a protooncogene encoded by ERBB2 on chromosome 17. 18Fluoridefluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) examination is frequently used to detect distant metastasis in gastric cancer imaging. This study aimed to investigate the relationship between the data obtained in the 18F-FDG PET/CT examination and HER-2 expression status in patients with gastric cancer. Methods: A total of 115 patients diagnosed with gastric cancer between 2016 and 2020, with HER-2 immunohistochemical followed by 18F-FDG PET/CT examination for staging purposes were included. Results: HER-2 immunohistochemical examination revealed 71 patients (61.7%) with negative and 44 (38.3%) with positive results. The median maximum standardized uptake value (SUVmax), mean standardized uptake value (SUVmean), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) values of patients positive with HER-2 were 9.95, 5, 30.44, and 139.16, respectively, whereas patients negative with HER-2 were 9.3,5.4,36.62, and 190.424, respectively (p>0.05). The median cancer antigen 19-9 (CA 19-9) levels of patients positive with HER-2 was 33.52, whereas 11.79 in those who were negative (p=0.016). The mean age was 69.3±9.35 years in patients with distant metastases, whereas 65.2±10.9 in those without distant metastases (p=0.042). Median SUVmax and SUVmean values in patients with distant metastases were 11.1 and 6.3, respectively, and 8.2 and 4.5 in those without distant metastases (p=0.002 and p=0.001, respectively). The median CA 19-9 and carcinoembryonic antigen (CEA) levels in patients with distant metastases were 31.34 and 9.20, respectively, whereas those without distant metastases were 11.55 and 2.26, respectively (p=0.011 and p=0.001, respectively). Conclusion: In our study, no statistically significant difference was found in terms of HER-2 status, SUVmax, SUVmean, MTV, TLG, distant metastasis, presence of lymph node metastasis, age, gender, tumor diameter, grade, and localization, and CEA levels in patients with gastric cancer. A statistically significant difference was found between HER-2 status and CA 19-9 levels. A statistically significant relationship was found between distant metastases in the 18F-FDG PET/CT examination and SUVmax, SUVmean, age, CEA levels, and histopathologic diagnosis; however, the relationship between distant metastasis in the 18F-FDG PET/CT scan and MTV, TLG, tumor diameter, localization, and grade was not statistically significant.
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Affiliation(s)
- Seyit Ahmet Ertürk
- T.R. Ministry of Health, Tokat State Hospital, Nuclear Medicine Unit, Tokat, Turkey
| | - Zekiye Hasbek
- Sivas Cumhuriyet University Faculty of Medicine, Department of Nuclear Medicine, Sivas, Turkey
| | - Hatice Özer
- Sivas Cumhuriyet University Faculty of Medicine, Department of Pathology, Sivas, Turkey
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Dual-Energy CT-Based Nomogram for Decoding HER2 Status in Patients With Gastric Cancer. AJR Am J Roentgenol 2021; 216:1539-1548. [PMID: 33852330 DOI: 10.2214/ajr.20.23528] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
OBJECTIVE. The purpose of this study was to develop and evaluate a dual-energy CT (DECT)-based nomogram for noninvasive identification of the status of human epidermal growth factor receptor 2 (HER2; also known as ERBB2) expression in gastric cancer (GC). MATERIALS AND METHODS. A total of 206 patients with histologically proven GC who underwent pretreatment DECT were retrospectively recruited and randomly allocated to a training cohort (n = 144) or a test cohort (n = 62). Information on clinical characteristics, qualitative imaging features, and quantitative DECT parameters was collected. Univariate analysis and multivariate logistic regression were implemented to screen independent predictors of HER2 status. An individualized nomogram was built, and its discrimination, calibration, and clinical usefulness were assessed. RESULTS. Tumor location, the iodine concentration of the tumor in the venous phase, and the normalized iodine concentration of the tumor in the venous phase were significant factors predictive of HER2 status (all p < .05). After these three indicators were integrated, the proposed nomogram showed a favorable diagnostic performance, with AUCs of 0.807 (95% CI, 0.718-0.897) in the training cohort and 0.815 (95% CI, 0.661-0.968) in the test cohort. The nomogram showed a preferable fitting (all p > .05 by the Hosmer-Lemeshow test) and would offer more net benefits than simple default strategies within a wide range of threshold probabilities in both cohorts. CONCLUSION. The DECT-based nomogram has great application potential in terms of detecting HER2 status in GC, and can serve as a novel substitute for invasive testing.
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Prospective evaluation of metabolic intratumoral heterogeneity in patients with advanced gastric cancer receiving palliative chemotherapy. Sci Rep 2021; 11:296. [PMID: 33436659 PMCID: PMC7804009 DOI: 10.1038/s41598-020-78963-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Accepted: 12/01/2020] [Indexed: 12/23/2022] Open
Abstract
Although metabolic intratumoral heterogeneity (ITH) gives important value on treatment responses and prognoses, its association with treatment outcomes have not been reported in gastric cancer (GC). We aimed to evaluate temporal changes in metabolic ITH and the associations with treatment responses, progression-free survival (PFS), and overall survival (OS) in advanced GC patients. Eighty-five patients with unresectable, locally advanced, or metastatic GC were prospectively enrolled before the first-line palliative chemotherapy and underwent [18F]FDG PET at baseline (TP1) and the first response follow-up evaluation (TP2). Standardized uptake values (SUVs), volumetric parameters, and textural features were evaluated in primary gastric tumor at TP1 and TP2. Of 85 patients, 44 had partial response, 33 had stable disease, and 8 progressed. From TP1 to TP2, metabolic ITH was significantly reduced (P < 0.01), and the degree of the decrease was greater in responders than in non-responders (P < 0.01). Using multiple Cox regression analyses, a low SUVmax at TP2, a high kurtosis at TP2 and larger decreases in the coefficient of variance were associated with better PFS. A low SUVmax at TP2, larger decreases in the metabolic tumor volume and larger decreased in the energy were associated with better OS. Age older than 60 years and responders also showed better OS. An early reduction in metabolic ITH is useful to predict treatment outcomes in advanced GC patients.
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Liu G, Yin H, Cheng X, Wang Y, Hu Y, Liu T, Shi H. Intra-tumor metabolic heterogeneity of gastric cancer on 18F-FDG PETCT indicates patient survival outcomes. Clin Exp Med 2020; 21:129-138. [PMID: 32880779 DOI: 10.1007/s10238-020-00659-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Accepted: 08/25/2020] [Indexed: 12/14/2022]
Abstract
The present study aimed to investigate the prognostic value of intra-tumor metabolic heterogeneity on 2-[18F] Fluoro-2-deoxy-D-glucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) for patients with gastric cancer. Fifty-five patients with advanced gastric cancer that had received neoadjuvant chemotherapy and radical surgery were included. Clinicopathological information, 18F-FDG PET/CT before chemotherapy, pathological response, recurrence or metastasis, progression-free survival (PFS), and overall survival (OS) of the patients were collected. The maximum, peak, and mean standardized uptake values (SUVmax, SUVpeak, and SUVmean), tumor-to-liver ratio (TLR), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) on PET/CT were measured. Heterogeneity index-1 (HI-1) was calculated as SUVmean divided by the standard deviation, and heterogeneity index-2 (HI-2) was evaluated through linear regressions of MTVs according to different SUV thresholds. Associations between these parameters and patient survival outcomes were analyzed. None of the parameters on PET were associated with tumor recurrence. Pathological responders had significantly smaller TLR, MTV and HI-2 values than non-responders (P = 0.017, 0.017 and 0.013, respectively). In multivariate analysis of PFS, only HI-2 was an independent factor (hazard ratio [HR] = 2.693, P = 0.005) after adjusting for clinical tumor-node-metastasis (TNM) stage. In multivariate analysis of OS, HI-2 was also an independent predictive factor (HR = 2.281, P = 0.009) after adjusting for tumor recurrence. Thus, HI-2 generated from baseline 18F-FDG PET/CT is significantly associated with survival of patients with gastric cancer. Preoperative assessment of HI-2 by 18F-FDG PET/CT might be promising to identify patients with poor prognosis.
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Affiliation(s)
- Guobing Liu
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, No. 180 in Fenglin Road, Shanghai, 200032, People's Republic of China
| | - Hongyan Yin
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, No. 180 in Fenglin Road, Shanghai, 200032, People's Republic of China
| | - Xi Cheng
- Department of Medical Oncology, Center of Evidence-based Medicine, Zhongshan Hospital, Fudan University, No. 180 in Fenglin Road, Shanghai, 200032, People's Republic of China
| | - Yan Wang
- Department of Medical Oncology, Center of Evidence-based Medicine, Zhongshan Hospital, Fudan University, No. 180 in Fenglin Road, Shanghai, 200032, People's Republic of China
| | - Yan Hu
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, No. 180 in Fenglin Road, Shanghai, 200032, People's Republic of China
| | - Tianshu Liu
- Department of Medical Oncology, Center of Evidence-based Medicine, Zhongshan Hospital, Fudan University, No. 180 in Fenglin Road, Shanghai, 200032, People's Republic of China.
| | - Hongcheng Shi
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, No. 180 in Fenglin Road, Shanghai, 200032, People's Republic of China.
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Harada K, Patnana M, Wang X, Iwatsuki M, Murphy MAB, Zhao M, Das P, Minsky BD, Weston B, Lee JH, Bhutani MS, Estrella JS, Shanbhag N, Ikoma N, Badgwell BD, Ajani JA. Low metabolic activity in primary gastric adenocarcinoma is associated with resistance to chemoradiation and the presence of signet ring cells. Surg Today 2020; 50:1223-1231. [PMID: 32409870 DOI: 10.1007/s00595-020-02018-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Accepted: 03/17/2020] [Indexed: 12/14/2022]
Abstract
PURPOSES Preoperative chemoradiation is a potential treatment option for localized gastric adenocarcinoma (GAC). Currently, the response to chemoradiation cannot be predicted. We analyzed the pretreatment maximum standardized uptake value (SUVmax) and total lesion glycolysis (TLG) on positron emission tomography/computed tomography as potential predictors of the response to chemoradiation. METHODS We analyzed the SUVmax and TLG data from 59 GAC patients who received preoperative chemoradiation. We used logistic regression models to predict a pathologic complete response (pCR) and Kaplan-Meier curves to determine overall survival among patients with high and low SUVmax or TLG. RESULTS Twenty-nine patients (49%) had Siewert type III adenocarcinoma and 30 (51%) had tumors located in the lower stomach. Forty-one patients had poorly differentiated GAC, and 26 had signet ring cells. The median SUVmax was 7.3 (0-28.2) and the median TLG was 56.6 (0-1881.5). Patients with signet ring cells had a low pCR rate, as well as a low SUVmax and TLG. In the multivariable logistic regression model, high SUVmax was a predictor of pCR (odds ratio = 11.1, 95% confidence interval = 2.12-50.0, p = 0.004). Overall survival was not associated with the SUVmax (log-rank p = 0.69) or TLG (log-rank p = 0.85) CONCLUSION: A high SUVmax was associated with sensitivity to chemoradiation and pCR in GAC, and signet ring cells seemed to confer resistance.
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Affiliation(s)
- Kazuto Harada
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA.,Department of Gastroenterological Surgery, Graduate School of Medical Science, Kumamoto University, 1-1-1 Honjo, Kumamoto, 860-8556, Japan
| | - Madhavi Patnana
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xuemei Wang
- Departments of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Masaaki Iwatsuki
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA.,Department of Gastroenterological Surgery, Graduate School of Medical Science, Kumamoto University, 1-1-1 Honjo, Kumamoto, 860-8556, Japan
| | - Mariela A Blum Murphy
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA
| | - Meina Zhao
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA
| | - Prajnan Das
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Bruce D Minsky
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Brian Weston
- Department of Gastroenterology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jeffrey H Lee
- Department of Gastroenterology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Manoop S Bhutani
- Department of Gastroenterology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jeannelyn S Estrella
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Namita Shanbhag
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA
| | - Naruhiko Ikoma
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Brian D Badgwell
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jaffer A Ajani
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
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22
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Wang N, Wang X, Li W, Ye H, Bai H, Wu J, Chen M. Contrast-Enhanced CT Parameters of Gastric Adenocarcinoma: Can Radiomic Features Be Surrogate Biomarkers for HER2 Over-Expression Status? Cancer Manag Res 2020; 12:1211-1219. [PMID: 32110095 PMCID: PMC7035892 DOI: 10.2147/cmar.s230138] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Accepted: 01/15/2020] [Indexed: 12/23/2022] Open
Abstract
Objective The aim of this study was to determine the role of contrast-enhanced computed tomography (CE-CT) parameters in predicting the expression status of HER2 in gastric adenocarcinoma (GAC) patients before radical gastrectomy. Materials and Methods A total of 460 GAC patients who underwent non-contrast CT (NC-CT) and CE-CT examinations before radical resection were enrolled in this retrospective study. The radiologists reviewed their CT scans and recorded parameters, including CT attenuate value (CAV) and corrected CAV (cCAV). The pathologist identified the postoperative HER2 expression status, and HER2 expression status was evaluated by immunohistochemical staining (IHC). The association between CE-CT parameters and HER2 expression status was analyzed. Results Among the 460 patients, 84 patients had HER2 over-expression status, at a prevalence of 18.3%. The CAVs were significantly different between the 2 different HER2 expression groups in the non-contrast and arterial phases (non-contrast phase: p = 0.005; arterial phase: p < 0.001). Besides, there was a significant difference in the cCAVs between the 2 groups in the arterial phase (arterial phase: p = 0.003). Univariate and multivariate logistic regression analyses identified that the maximum diameter of tumor, differentiation degree, CAV in non-contrast, arterial, and portal phases, and cCAV in the arterial phase were predictive factors of HER2 expression status. Conclusion Our analyses showed that the CE-CT parameters were significantly different between different HER2 expression groups. CE-CT parameters could serve as simple, objective predictive factors of HER2 expression status of GAC patients.
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Affiliation(s)
- Na Wang
- Health Care Center, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325002, People's Republic of China
| | - Xinxin Wang
- Wenzhou Medical University, Wenzhou, Zhejiang 325002, People's Republic of China
| | - Wenya Li
- Wenzhou Medical University, Wenzhou, Zhejiang 325002, People's Republic of China
| | - Huajun Ye
- Department of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325002, People's Republic of China
| | - Hongzhao Bai
- Wenzhou Medical University, Wenzhou, Zhejiang 325002, People's Republic of China
| | - Jiansheng Wu
- Department of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325002, People's Republic of China
| | - Mengjun Chen
- Department of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325002, People's Republic of China
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Li Y, Cheng Z, Gevaert O, He L, Huang Y, Chen X, Huang X, Wu X, Zhang W, Dong M, Huang J, Huang Y, Xia T, Liang C, Liu Z. A CT-based radiomics nomogram for prediction of human epidermal growth factor receptor 2 status in patients with gastric cancer. Chin J Cancer Res 2020; 32:62-71. [PMID: 32194306 PMCID: PMC7072015 DOI: 10.21147/j.issn.1000-9604.2020.01.08] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2019] [Accepted: 12/03/2019] [Indexed: 02/05/2023] Open
Abstract
OBJECTIVE To develop and validate a computed tomography (CT)-based radiomics nomogram for predicting human epidermal growth factor receptor 2 (HER2) status in patients with gastric cancer. METHODS This retrospective study included 134 patients with gastric cancer (HER2-negative: n=87; HER2-positive: n=47) from April 2013 to March 2018, who were then randomly divided into training (n=94) and validation (n=40) cohorts. Radiomics features were obtained from the CT images showing gastric cancer. Least absolute shrinkage and selection operator (LASSO) regression analysis was utilized for building the radiomics signature. A multivariable logistic regression method was applied to develop a prediction model incorporating the radiomics signature and independent clinicopathologic risk predictors, which were then visualized as a radiomics nomogram. The predictive performance of the nomogram was assessed in the training and validation cohorts. RESULTS The radiomics signature was significantly associated with HER2 status in both training (P<0.001) and validation (P=0.023) cohorts. The prediction model that incorporated the radiomics signature and carcinoembryonic antigen (CEA) level demonstrated good discriminative performance for HER2 status prediction, with an area under the curve (AUC) of 0.799 [95% confidence interval (95% CI): 0.704-0.894] in the training cohort and 0.771 (95% CI: 0.607-0.934) in the validation cohort. The calibration curve of the radiomics nomogram also showed good calibration. Decision curve analysis showed that the radiomics nomogram was useful. CONCLUSIONS We built and validated a radiomics nomogram with good performance for HER2 status prediction in gastric cancer. This radiomics nomogram could serve as a non-invasive tool to predict HER2 status and guide clinical treatment.
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Affiliation(s)
- Yexing Li
- Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
- Graduate College, Shantou University Medical College, Shantou 515041, China
| | - Zixuan Cheng
- Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
- School of Medicine, South China University of Technology, Guangzhou 510006, China
| | - Olivier Gevaert
- Stanford Center for Biomedical Informatics Research, Department of Medicine, and Department of Biomedical Data Science, Stanford University, California 94305, USA
| | - Lan He
- Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
| | - Yanqi Huang
- Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
| | - Xin Chen
- Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
- Graduate College, Southern Medical University, Guangzhou 510515, China
- Department of Radiology, Guangzhou First People’s Hospital, Guangzhou 510180, China
| | - Xiaomei Huang
- Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
- Graduate College, Southern Medical University, Guangzhou 510515, China
| | - Xiaomei Wu
- Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
- School of Medicine, South China University of Technology, Guangzhou 510006, China
| | - Wen Zhang
- Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
- Graduate College, Southern Medical University, Guangzhou 510515, China
- Department of Radiology, Zhuhai Hospital of Traditional Chinese and Western Medicine, Zhuhai 519000, China
| | - Mengyi Dong
- Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
- Graduate College, Southern Medical University, Guangzhou 510515, China
| | - Jia Huang
- Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
- Graduate College, Shantou University Medical College, Shantou 515041, China
| | - Yucun Huang
- Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
- Graduate College, Southern Medical University, Guangzhou 510515, China
- Department of Radiology, The Fifth People’s Hospital of Zhuhai, Zhuhai 519055, China
| | - Ting Xia
- Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
- School of Medicine, South China University of Technology, Guangzhou 510006, China
| | - Changhong Liang
- Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
- Graduate College, Shantou University Medical College, Shantou 515041, China
- Changhong Liang, PhD. Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, No.106 Zhongshan Er Road, Guangzhou 510080, China.
| | - Zaiyi Liu
- Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
- Graduate College, Shantou University Medical College, Shantou 515041, China
- Zaiyi Liu, PhD. Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, No.106 Zhongshan Er Road, Guangzhou 510080, China.
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Liu G, Hu Y, Cheng X, Wang Y, Gu Y, Liu T, Shi H. Volumetric parameters on 18F-FDG PET/CT predict the survival of patients with gastric cancer associated with their expression status of c-MET. BMC Cancer 2019; 19:790. [PMID: 31395059 PMCID: PMC6686274 DOI: 10.1186/s12885-019-5935-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Accepted: 07/12/2019] [Indexed: 12/17/2022] Open
Abstract
Background This study aimed to investigate the prognostic value of volumetric parameters on 18F- fluoro-2-deoxy-D-glucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) in gastric-cancer patients, according to the expression status of c-MET (MET proto-oncogene, receptor tyrosine kinase), which was previously unclear. Methods The study included 61 patients with advanced gastric cancer. Data on the baseline 18F-FDG PET/CT, clinical-pathological information, progression-free survival (PFS), and overall survival (OS) were collected. The maximum standardized uptake value (SUVmax), peak SUV (SUVpeak), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) of gastric tumors in situ were measured on PET/CT. The expression status of c-MET was recorded based on immunohistochemical staining. Associations between the parameters on PET/CT and patients’ survival outcomes were analyzed in relation to expression status of c-MET. Results Patients with positive c-MET expression had significantly shorter PFS (11.5 vs. 17.6 months, P = 0.039) and OS (17.0 vs. 24.3 months, P = 0.043), and had gastric tumors with a larger MTV (70.8 ± 53.11 vs. 41.1 ± 52.32, P = 0.034) and TLG (428.39 ± 442.95 vs. 205.7 ± 354.40, P = 0.039), compared with those with negative c-MET expression. However, SUVmax (9.6 ± 7.40 vs. 8.0 ± 4.91, P = 0.335) and SUVpeak (7.7 ± 5.99 vs. 6.62 ± 4.08, P = 0.438) were similar between these two patient groups. In patients with c-MET-positive tumors, MTV and TLG were independent factors in predicting patient OS after correction by distant metastasis (hazards ratio = 1.014 and 1.002, respectively; P = 0.024 and 0.027, respectively), while these associations were not significant in patients with c-MET-negative tumors. Conclusions Patients with c-MET-positive gastric cancer had higher MTV and TLG values compared to those with c-MET-negative gastric cancer. In patients with c-MET-positive gastric cancer, volumetric parameters on 18F-FDG PET/CT have prognostic value for patient overall survival.
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Affiliation(s)
- Guobing Liu
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, No. 180 in Fenglin Road, Shanghai, 200032, People's Republic of China
| | - Yan Hu
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, No. 180 in Fenglin Road, Shanghai, 200032, People's Republic of China
| | - Xi Cheng
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, No. 180 in Fenglin Road, Shanghai, 200032, People's Republic of China
| | - Yan Wang
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, No. 180 in Fenglin Road, Shanghai, 200032, People's Republic of China
| | - Yushen Gu
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, No. 180 in Fenglin Road, Shanghai, 200032, People's Republic of China
| | - Tianshu Liu
- Department of Medical Oncology, Zhongshan Hospital, Fudan University, No. 180 in Fenglin Road, Shanghai, 200032, People's Republic of China.
| | - Hongcheng Shi
- Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, No. 180 in Fenglin Road, Shanghai, 200032, People's Republic of China.
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Sun G, Cheng C, Li X, Wang T, Yang J, Li D. Metabolic tumor burden on postsurgical PET/CT predicts survival of patients with gastric cancer. Cancer Imaging 2019; 19:18. [PMID: 30902116 PMCID: PMC6431021 DOI: 10.1186/s40644-019-0205-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Accepted: 03/15/2019] [Indexed: 12/30/2022] Open
Abstract
Background The prognostic value of postoperative 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) to patients with gastric cancer remains unclear. This study aims to investigate the prognostic value of whole body (WB) metabolic tumor burden (MTBWB) on postsurgical 18F-FDG PET/CT to patients with gastric cancer. Methods A total of 376 patients with surgeries-confirmed gastric cancer were enrolled. Clinicopathologic information, overall survival (OS) and MTBWB parameters on postsurgical PET/CT, in terms of WB maximum standardized uptake value (SUVWBmax), WB metabolic tumor volume (MTVWB), and WB total lesion glycolysis (TLGWB) were collected. In-between differences of patient clinicopathologic characteristics, OS and MTBWB measurements were compared using chi-square test, Fisher’s exact test, Student’s t test or the Kaplan-Meier survival analysis. The optimal cutoffs of MTBWB measurements were calculated through the receiver operating characteristic (ROC) curve analysis. Univariable and multivariable Cox proportional hazard regression were performed to test the predictive value of the clinicopathologic factors and MTBWB measurements to patient survival. Results The PET-positive patients had significantly decreased OS based on either Kaplan-Meier survival analysis (P < 0.001) or univariable Cox regression (hazard ratio [HR] = 2.850, P < 0.001). In patients with PET-positive tumors, the associations between OS and SUVWBmax, MTVWB and TLGWB were significant, both in univariable analysis (P < 0.001, P < 0.001 and P = 0.001, respectively) and in multivariable analysis (P = 0.002, P < 0.001 and P = 0.005, respectively). Patient OS among groups dichotomized by cutoffs of SUVWBmax > 8.6, MTVWB > 91.5 cm3, and TLGWB > 477.6 cm3 were significantly different (P = 0.001, P < 0.001 and P = 0.001, respectively). Conclusions MTBWB, in terms of SUVWBmax, MTVWB and TLGWB, on postsurgical 18F-FDG PET/CT provides prognostic value to patients with gastric cancer after curative resection.
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Affiliation(s)
- Gaofeng Sun
- Department of Nuclear Medicine, Changhai Hospital, Block 10, Changhai hospital, No. 168 in Changhai Road, Yangpu district, Shanghai, 200433, China
| | - Chao Cheng
- Department of Nuclear Medicine, Changhai Hospital, Block 10, Changhai hospital, No. 168 in Changhai Road, Yangpu district, Shanghai, 200433, China
| | - Xiao Li
- Department of Nuclear Medicine, Changhai Hospital, Block 10, Changhai hospital, No. 168 in Changhai Road, Yangpu district, Shanghai, 200433, China.
| | - Tao Wang
- Department of Nuclear Medicine, Changhai Hospital, Block 10, Changhai hospital, No. 168 in Changhai Road, Yangpu district, Shanghai, 200433, China
| | - Jian Yang
- Department of Nuclear Medicine, Changhai Hospital, Block 10, Changhai hospital, No. 168 in Changhai Road, Yangpu district, Shanghai, 200433, China
| | - Danni Li
- Department of Nuclear Medicine, Changhai Hospital, Block 10, Changhai hospital, No. 168 in Changhai Road, Yangpu district, Shanghai, 200433, China
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