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Qin L, Chen W, Ye Y, Yi H, Pang W, Long B, Wang Y, Ye T, Li L. Prediction of HER2 Expression in Gastric Adenocarcinoma Based On Preoperative Noninvasive Multimodal 18F-FDG PET/CT Imaging. Acad Radiol 2024; 31:3200-3211. [PMID: 38302386 DOI: 10.1016/j.acra.2024.01.022] [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: 11/25/2023] [Revised: 01/02/2024] [Accepted: 01/11/2024] [Indexed: 02/03/2024]
Abstract
RATIONALE AND OBJECTIVES This study aims to investigate the role of a flourine-18 fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) multimodal radiomics model in predicting the status of human epidermal growth factor receptor 2 (HER2) expression preoperatively in cases of gastric adenocarcinoma. MATERIALS AND METHODS This retrospective study included 133 patients with gastric adenocarcinoma who were classified into training (n = 93) and validation (n = 40) cohorts in a ratio of 7:3. Features were selected using Least Absolute Shrinkage and Selection Operator and Extreme Gradient Boosting (XGBoost) methods; further, prediction models were constructed using logistic regression and XGBoost. These models were evaluated and validated using area under the curve (AUC), decision curves, and calibration curves to select the best-performing model. RESULTS Six different models were established to predict HER2 expression. Among these, the comprehensive model, which integrates seven clinical features, one CT feature, and five PET features, demonstrated AUC values of 0.95 (95% confidence interval [CI]: 0.89-1.00) and 0.76 (95% CI: 0.52-1.00) in the training and validation cohorts, respectively. Compared with other models, this model exhibited a superior net benefit on the decision curve and demonstrated good alignment agreement with the observed values on the calibration curve. Based on these findings, we constructed a nomogram for visualizing the model, providing a noninvasive preoperative method for predicting HER2 expression. CONCLUSION The preoperative 18F-FDG PET/CT multimodal radiomics model can effectively predict HER2 expression in patients with gastric adenocarcinoma, thereby guiding clinical decision-making and advancing the field of precision medicine.
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Affiliation(s)
- Lilin Qin
- Department of Nuclear Medicine, Zhejiang Cancer Hospital, Banshan Street 1, Hangzhou, Zhejiang 310022, China; Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China; Second Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Wujie Chen
- Department of Radiology, Zhejiang Cancer Hospital, Hangzhou, Zhejiang, China; Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China
| | - Yuanxin Ye
- Department of Radiology, Zhejiang Cancer Hospital, Hangzhou, Zhejiang, China; Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China; Second Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Heqing Yi
- Department of Nuclear Medicine, Zhejiang Cancer Hospital, Banshan Street 1, Hangzhou, Zhejiang 310022, China; Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China
| | - Weiqiang Pang
- Department of Nuclear Medicine, Zhejiang Cancer Hospital, Banshan Street 1, Hangzhou, Zhejiang 310022, China; Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China
| | - Bin Long
- Department of Nuclear Medicine, Zhejiang Cancer Hospital, Banshan Street 1, Hangzhou, Zhejiang 310022, China; Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China
| | - Yun Wang
- Department of Nuclear Medicine, Zhejiang Cancer Hospital, Banshan Street 1, Hangzhou, Zhejiang 310022, China; Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China
| | - Ting Ye
- Department of Nuclear Medicine, Zhejiang Cancer Hospital, Banshan Street 1, Hangzhou, Zhejiang 310022, China; Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China
| | - Linfa Li
- Department of Nuclear Medicine, Zhejiang Cancer Hospital, Banshan Street 1, Hangzhou, Zhejiang 310022, China; Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China.
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Wang Q, Zhang Q, Zhu J, Li L, Zeng R, Ding H, Li Z, Feng T, Hao R, Zhang G. Nomogram for predicting overall survival after curative gastrectomy using inflammatory, nutritional and pathological factors. Clin Transl Oncol 2024; 26:1001-1011. [PMID: 37996667 DOI: 10.1007/s12094-023-03340-0] [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: 05/10/2023] [Accepted: 10/20/2023] [Indexed: 11/25/2023]
Abstract
PURPOSE To establish a nomogram for predicting the overall survival (OS) in patients with gastric cancer (GC) based on inflammatory, nutritional and pathological factors. METHODS GC patients underwent curative gastrectomy from January 2012 to June 2017 in our hospital were included, and were classified into training set and validation set with a ratio of 7:3. Then variables associated with OS were analyzed using univariate and multivariate Cox regression analysis. Nomograms predicting OS were built using variables from multivariable Cox models. Finally, Kaplan-Meier curve and Log-rank test were also conducted to analyze the 1-yr, 3-yr and 5-yr OS to validate the efficiency of risk stratification of the nomogram. RESULTS A total of 366 GC patients were included. After univariate and multivariate Cox regression analysis, age (HR = 1.52, 95% CI = 1.01-2.30, P = 0.044), CA50 (HR = 1.90, 95% CI = 1.12-3.21, P = 0.017), PNI (HR = 1.65, 95% CI = 1.13-2.39, P = 0.009), SII (HR = 1.46, 95% CI = 1.03-2.08, P = 0.036), T stage (HR = 2.26, 95% CI = 1.01-5.05, P = 0.048; HR = 7.24, 95% CI = 3.64-14.40, P < 0.001) were independent influencing factors on the survival time of GC patients. Five factors including CEA, prognostic nutritional index (PNI), systemic immune-inflammation index (SII), ln (tumor size), T stage, and N stage were identified and entered the nomogram, which showed good discrimination and calibration in both sets. On internal validation, 1-yr, 3-yr and 5-yr nomogram demonstrated a good discrimination with an area under the ROC curve (AUC) of 0.77, 0.84 and 0.86, respectively. The AUC for 1-yr, 3-yr and 5-yr nomogram in validation set was 0.77, 0.79 and 0.81, respectively. The OS in low risk group of training cohort and validation cohort was significantly higher than that of intermediate risk group and high risk group, respectively. CONCLUSIONS We established a nomogram based on PNI, SII and pathological factors for predicting OS in GC patients. In addition, its efficiency was validated by validation set and stratified analysis.
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Affiliation(s)
- Qi Wang
- Department of General Surgery, The First Affiliated Hospital of Shandong First Medical University, Jinan, 250100, China
| | - Qiang Zhang
- Department of General Surgery, Qingdao Hospital, University of Health and Rehabilitation Sciences (Qingdao Municipal Hospital), Qingdao, 266000, China
| | - Jiankang Zhu
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Shandong First Medical University, No. 16766 Jingshi Road, Jinan, 250100, China
| | - Linchuan Li
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Shandong First Medical University, No. 16766 Jingshi Road, Jinan, 250100, China
| | - Runzhi Zeng
- Department of General Surgery, Shandong Provincial Qianfoshan Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250014, China
| | - Huanxin Ding
- Department of General Surgery, Shandong Provincial Qianfoshan Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250014, China
| | - Zhenmin Li
- Department of General Surgery, The First Affiliated Hospital of Shandong First Medical University, Jinan, 250100, China
| | - Tianyi Feng
- Department of General Surgery, Shandong Provincial Qianfoshan Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250014, China
| | - Ruiqi Hao
- Department of General Surgery, The First Affiliated Hospital of Shandong First Medical University, Jinan, 250100, China
| | - Guangyong Zhang
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Shandong First Medical University, No. 16766 Jingshi Road, Jinan, 250100, China.
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Ueda A, Yuki S, Ando T, Hosokawa A, Nakada N, Kito Y, Motoo I, Ito K, Sakumura M, Nakayama Y, Ueda Y, Kajiura S, Nakashima K, Harada K, Kawamoto Y, Komatsu Y, Yasuda I. CA125 Kinetics as a Potential Biomarker for Peritoneal Metastasis Progression following Taxane-Plus-Ramucirumab Administration in Patients with Advanced Gastric Cancer. Cancers (Basel) 2024; 16:871. [PMID: 38473233 DOI: 10.3390/cancers16050871] [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: 01/06/2024] [Revised: 02/12/2024] [Accepted: 02/20/2024] [Indexed: 03/14/2024] Open
Abstract
Currently, no established marker exists for predicting peritoneal metastasis progression during chemotherapy, although they are major interruptive factors in sequential chemotherapy in patients with advanced gastric cancer (AGC). This multicenter retrospective study was conducted from June 2015 to July 2019, analyzing 73 patients with AGC who underwent taxane-plus-ramucirumab (TAX/RAM) therapy and had their serum carbohydrate antigen 125 (CA125) concentrations measured. Of 31 patients with elevated CA125 levels above a cutoff of 35 U/mL, 25 (80.6%) had peritoneal metastasis. The CA125 concentrations before TAX/RAM treatment were associated with ascites burden. The overall survival was significantly shorter in the CA125-elevated group. CA125 kinetics, measured at a median of 28 days after chemotherapy, were associated with the ascites response (complete or partial response: -1.86%/day; stable disease: 0.28%/day; progressive disease: 2.33%/day). Progression-free survival in the CA125-increased group, defined by an increase of 0.0067%/day using receiver operating characteristic curve analysis, was significantly poorer among patients with peritoneal metastases. In conclusion, this study highlights that CA125 kinetics can serve as an early predictor for the progression of peritoneal metastasis during TAX/RAM treatment.
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Affiliation(s)
- Akira Ueda
- Third Department of Internal Medicine, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan
| | - Satoshi Yuki
- Department of Gastroenterology and Hepatology, Hokkaido University Hospital, Kita14, Nishi 5, Kita-ku, Sapporo 060-8648, Japan
| | - Takayuki Ando
- Third Department of Internal Medicine, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan
| | - Ayumu Hosokawa
- Department of Clinical Oncology, University of Miyazaki Hospital, 5200 Kihara, Kiyotake-cho, Miyazaki 889-1692, Japan
| | - Naokatsu Nakada
- Department of Internal Medicine, Itoigawa Sogo Hospital, 457-1 Takegahana, Itoigawa 941-8502, Japan
| | - Yosuke Kito
- Department of Medical Oncology, Ishikawa Prefectural Central Hospital, 2-1 Kuratuki Higashi, Kanazawa 920-8530, Japan
| | - Iori Motoo
- Third Department of Internal Medicine, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan
| | - Ken Ito
- Department of Gastroenterology, Tomakomai City Hospital, 1-5-20 Shimizucho, Tomakomai 053-8567, Japan
| | - Miho Sakumura
- Third Department of Internal Medicine, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan
| | - Yurika Nakayama
- Third Department of Internal Medicine, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan
| | - Yuko Ueda
- Third Department of Internal Medicine, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan
| | - Shinya Kajiura
- Third Department of Internal Medicine, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan
| | - Koji Nakashima
- Department of Clinical Oncology, University of Miyazaki Hospital, 5200 Kihara, Kiyotake-cho, Miyazaki 889-1692, Japan
| | - Kazuaki Harada
- Department of Gastroenterology and Hepatology, Hokkaido University Hospital, Kita14, Nishi 5, Kita-ku, Sapporo 060-8648, Japan
| | - Yasuyuki Kawamoto
- Division of Cancer Center, Hokkaido University Hospital, Kita 14, Nishi 5, Kita-ku, Sapporo 060-8648, Japan
| | - Yoshito Komatsu
- Division of Cancer Center, Hokkaido University Hospital, Kita 14, Nishi 5, Kita-ku, Sapporo 060-8648, Japan
| | - Ichiro Yasuda
- Third Department of Internal Medicine, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan
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Ho SYA, Tay KV. Systematic review of diagnostic tools for peritoneal metastasis in gastric cancer-staging laparoscopy and its alternatives. World J Gastrointest Surg 2023; 15:2280-2293. [PMID: 37969710 PMCID: PMC10642463 DOI: 10.4240/wjgs.v15.i10.2280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Revised: 05/16/2023] [Accepted: 06/12/2023] [Indexed: 10/27/2023] Open
Abstract
BACKGROUND Gastric cancer is one of the leading causes of cancer burden and mortality, often resulting in peritoneal metastasis in advanced stages with negative survival outcomes. Staging laparoscopy has become standard practice for suspected cases before a definitive gastrectomy or palliation. This systematic review aims to compare the efficacy of other diagnostic modalities instead of staging laparoscopy as the alternatives are able to reduce cost and invasive staging procedures. Recently, a radiomic model based on computed tomography and positron emission tomography (PET) has also emerged as another method to predict peritoneal metastasis. AIM To determine if the efficacy of computed tomography, magnetic resonance imaging and PET is comparable with staging laparoscopy. METHODS Articles comparing computed tomography, PET, magnetic resonance imaging, and radiomic models based on computed tomography and PET to staging laparoscopies were filtered out from the Cochrane Library, EMBASE, PubMed, Web of Science, and Reference Citations Analysis (https://www.referencecitationanalysis.com/). In the search for studies comparing computed tomography (CT) to staging laparoscopy, five retrospective studies and three prospective studies were found. Similarly, five retrospective studies and two prospective studies were also included for papers comparing CT to PET scans. Only one retrospective study and one prospective study were found to be suitable for papers comparing CT to magnetic resonance imaging scans. RESULTS Staging laparoscopy outperformed computed tomography in all measured aspects, namely sensitivity, specificity, positive predictive value and negative predictive value. Magnetic resonance imaging and PET produced mixed results, with the former shown to be only marginally better than computed tomography. CT performed slightly better than PET in most measured domains, except in specificity and true negative rates. We speculate that this may be due to the limited F-fluorodeoxyglucose uptake in small peritoneal metastases and in linitis plastica. Radiomic modelling, in its current state, shows promise as an alternative for predicting peritoneal metastases. With further research, deep learning and radiomic modelling can be refined and potentially applied as a preoperative diagnostic tool to reduce the need for invasive staging laparoscopy. CONCLUSION Staging laparoscopy was superior in all measured aspects. However, associated risks and costs must be considered. Refinements in radiomic modelling are necessary to establish it as a reliable screening technique.
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Affiliation(s)
| | - Kon Voi Tay
- Upper GI and Bariatric Division, General Surgery, Tan Tock Seng Hospital, Singapore 308433, Singapore
- Upper GI and Bariatric Division, General Surgery, Woodlands Health, Singapore 768024, Singapore
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Gao H, Ji K, Bao L, Chen H, Lin C, Feng M, Tao L, Wang M. Establishment and verification of prediction model of occult peritoneal metastasis in advanced gastric cancer. World J Surg Oncol 2023; 21:320. [PMID: 37833730 PMCID: PMC10571475 DOI: 10.1186/s12957-023-03188-2] [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: 05/22/2023] [Accepted: 09/17/2023] [Indexed: 10/15/2023] Open
Abstract
BACKGROUND To investigate the risk factors associated with the development of occult peritoneal metastasis in advanced gastric cancer, and establish and externally validate a nomogram for predicting the occurrence of occult peritoneal metastasis in patients with advanced gastric cancer. METHODS A total of 111 patients with advanced gastric cancer who underwent laparoscopic exploration or peritoneal lavage cytology examination at the Affiliated Drum Tower Hospital of Nanjing University Medical School from August 2014 to December 2021 were retrospectively analyzed. The patients diagnosed between 2019 and 2021 were assigned to the training set (n = 64), while those diagnosed between 2014 and 2016 constituted the external validation set (n = 47). In the training set, patients were classified into two groups based on preoperative imaging and postoperative pathological data: the occult peritoneal metastasis group (OPMG) and the peritoneal metastasis negative group (PMNG). In the validation set, patients were classified into the occult peritoneal metastasis group (CY1P0, OPMG) and the peritoneal metastasis negative group (CY0P0, PMNG) based on peritoneal lavage cytology results. A nomogram was constructed using univariate and multivariate analyses. The performance of the nomogram was evaluated using Harrell's C-index, the area under the receiver operating characteristic curve (AUC), decision curve analysis (DCA), and calibration plots. RESULTS This study analyzed 22 potential variables of OPM in 111 gastric cancer patients who underwent laparoscopic exploration or peritoneal lavage cytology examination. Logistic regression analysis results showed that Lauren classification, CLDN18.2 score and CA125 were independent risk factors for OPM in patients with gastric cancer. We developed a simple and easy-to-use prediction nomogram of occult peritoneal metastasis in advanced gastric cancer. This nomogram had an excellent diagnostic performance. The AUC of the bootstrap model in the training set was 0.771 and in the validation set was 0.711. This model showed a good fitting and calibration and positive net benefits in decision curve analysis. CONCLUSION We have developed a prediction nomogram of OPM for gastric cancer. This novel nomogram has the potential to enhance diagnostic accuracy for occult peritoneal metastasis in gastric cancer patients.
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Affiliation(s)
- Hengfei Gao
- Department of General Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing, China
- Medical School of Nanjing University, Nanjing, China
| | - Kangkang Ji
- Department of Gastrointestinal, Fuyang People's Hospital, Fuyang, China
| | - Linsen Bao
- Department of General Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing, China
- Medical School of Nanjing University, Nanjing, China
| | - Hao Chen
- Department of General Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing, China
- Medical School of Nanjing University, Nanjing, China
| | - Chen Lin
- Department of General Surgery, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China
| | - Min Feng
- Department of General Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
- Medical School of Nanjing University, Nanjing, China.
| | - Liang Tao
- Department of General Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
- Medical School of Nanjing University, Nanjing, China.
| | - Meng Wang
- Department of General Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
- Medical School of Nanjing University, Nanjing, China.
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Guan G, Li Z, Wang Q, Ying X, Shan F, Li Z. Risk factors associated with peritoneal carcinomatosis of gastric cancer in staging laparoscopy: A systematic review and meta-analysis. Front Oncol 2022; 12:955181. [PMID: 36387230 PMCID: PMC9650136 DOI: 10.3389/fonc.2022.955181] [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: 05/28/2022] [Accepted: 09/26/2022] [Indexed: 11/30/2022] Open
Abstract
Background The optimal indications of staging laparoscopy in gastric cancer to detect peritoneal carcinomatosis are still controversial. We performed this systematic review and meta-analysis to quantify the relevance of the preoperative factors with peritoneal carcinomatosis to explore the indications of staging laparoscopy. Materials and methods Systematic searches were conducted using Medline, Embase, and the Cochrane Library in December 2021. On the basis of calculating the odds ratio (OR) of each factor, we quantified the association between the risk factors and peritoneal carcinomatosis such as clinical T/N stage, Borrmann type, and tumor markers, using meta-analysis with a random-effects model. Results A total of 21 case-control studies and one cohort study were obtained. T stage, N stage, and differentiation degree were most widely studied, with OR values of 2.96 (95% CI: 1.87–4.69), 1.22 (95% CI: 0.86–1.73), and 1.91 (95% CI: 1.42–2.56), respectively. Among all the factors, elevated CA125 (OR = 19.45, 95% CI: 4.71–80.30), Borrmann type IV (OR = 7.68, 95% CI: 3.62–16.27), and large tumor diameter (OR = 5.12, 95% CI: 2.55–10.31) had the highest OR. In particular, CA125 had the best predictability for peritoneal carcinomatosis but was only mentioned by three articles. Conclusions There was a cognitive gap between the awareness and importance of risk factors for peritoneal carcinomatosis. In addition to T4 stage, patients with factors with high OR, such as Borrmann type IV, large tumor diameter, and elevated CA125, should undergo staging laparoscopy.
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Li Z, Guan G, Liu Z, Li J, Ying X, Shan F, Li Z. Predicting peritoneal carcinomatosis of gastric cancer: A simple model to exempt low-risk patients from unnecessary staging laparoscopy. Front Surg 2022; 9:916001. [PMID: 35937608 PMCID: PMC9349356 DOI: 10.3389/fsurg.2022.916001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 06/28/2022] [Indexed: 11/21/2022] Open
Abstract
Background Peritoneal carcinomatosis (PC) of gastric cancer indicates a poor outcome and is mainly diagnosed by staging laparoscopy (SL). This study was designed to develop a risk stratification model based on the number of risk factors to exempt low-risk patients from unnecessary SL. Methods This was a retrospective cohort study based on a single institution between January 2015 and December 2019. SL is indicated for patients of advanced locoregional stage, and clinicopathologic characteristics of 535 consecutive patients were included. PC-associated variables were identified by logistic regression analysis. A risk stratification model based on the number of risk factors was constructed, and we defined its predictive value with a receiver operating characteristic (ROC) curve and negative predictive value. Results In total, 15.9% of included patients were found to have PC during SL. Borrmann type IV, elevated CA125, and tumour diameter ≥5 cm were independent risk factors of PC. These three factors combined with cT4 were selected as predictive factors, and the number of predictive variables was significantly related to the possibility of PC (2.0%, 12.8%, 20.0%, 54.2%, and 100%, respectively). When the cutoff value is more than one predictive factor, the negative predictive value is 98.0%, with an area under the curve of 0.780. This model could exempt 29.8% of unnecessary SL compared to the indication of the current NCCN guideline. Conclusions We constructed a simple model to predict the probability of PC using the number of predictive factors. It is recommended that patients without any of these factors should be exempt from SL.
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Bao D, Yang Z, Chen S, Li K, Hu Y. Construction of a Nomogram Model for Predicting Peritoneal Dissemination in Gastric Cancer Based on Clinicopathologic Features and Preoperative Serum Tumor Markers. Front Oncol 2022; 12:844786. [PMID: 35719995 PMCID: PMC9198602 DOI: 10.3389/fonc.2022.844786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Accepted: 05/04/2022] [Indexed: 12/24/2022] Open
Abstract
Background Peritoneal dissemination (PD) is the most common mode of metastasis for advanced gastric cancer (GC) with poor prognosis. It is of great significance to accurately predict preoperative PD and develop optimal treatment strategies for GC patients. Our study assessed the diagnostic potential of serum tumor markers and clinicopathologic features, to improve the accuracy of predicting the presence of PD in GC patients. Methods In our study, 1264 patients with GC at Fudan University Shanghai Cancer Center and Wenzhou people’s hospital from 2018 to 2020 were retrospectively analyzed, including 316 cases of PD and 948 cases without PD. All patients underwent enhanced CT scan or magnetic resonance imaging (MRI) before surgery and treatment. Clinicopathological features, including tumor diameter and tumor stage (depth of tumor invasion, nearby lymph node metastasis and distant metastasis), were obtained by imaging examination. The independent risk factors for PD were screened through univariate and multivariate logistic regression analyses, and the results were expressed with 95% confidence intervals (CIs). A model of PD diagnosis and prediction was established by using Cox proportional hazards regression model of training set. Furthermore, the accuracy of the prediction model was verified by ROC curve and calibration plots. Results Univariate analysis showed that PD in GC was significantly related to tumor diameter (odds ratio (OR)=12.06, p<0.0006), depth of invasion (OR=14.55, p<0.0001), lymph node metastases (OR=5.89, p<0.0001), carcinoembryonic antigen (CEA) (OR=2.50, p<0.0001), CA125 (OR=11.46, p<0.0001), CA72-4 (OR=4.09, p<0.0001), CA19-9 (OR=2.74, p<0.0001), CA50 (OR=5.20, p<0.0001) and CA242 (OR=3.83, p<0.0001). Multivariate analysis revealed that clinical invasion depth and serum marker of CA125 and CA72-4 were independent risk factors for PD. The prediction model was established based on the risk factors using the R program. The area under the curve (AUC) of the receiver operating characteristics (ROC) was 0.931 (95% CI: 0.900–0.960), with the accuracy, sensitivity and specificity values of 90.5%, 86.2% and 82.2%, respectively. Conclusion The nomogram model constructed using CA125, CA72-4 and depth of invasion increases the accuracy and sensitivity in predicting the incidence of PD in GC patients and can be used as an important tool for preoperative diagnosis.
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Affiliation(s)
- Dandan Bao
- Department of General Surgery, The Third Clinical Institute Affiliated to Wenzhou Medical University, The Third Affiliated hospital of Shanghai University, Wenzhou People's Hospital, Wenzhou, China
| | - Zhangwei Yang
- Department of General Surgery, The Third Clinical Institute Affiliated to Wenzhou Medical University, The Third Affiliated hospital of Shanghai University, Wenzhou People's Hospital, Wenzhou, China
| | - Senrui Chen
- Department of General Surgery, The Third Clinical Institute Affiliated to Wenzhou Medical University, The Third Affiliated hospital of Shanghai University, Wenzhou People's Hospital, Wenzhou, China
| | - Keqin Li
- Department of General Surgery, The Third Clinical Institute Affiliated to Wenzhou Medical University, The Third Affiliated hospital of Shanghai University, Wenzhou People's Hospital, Wenzhou, China
| | - Yiren Hu
- Department of General Surgery, The Third Clinical Institute Affiliated to Wenzhou Medical University, The Third Affiliated hospital of Shanghai University, Wenzhou People's Hospital, Wenzhou, China.,Department of General Surgery, Medical College of Soochow University, Soochow, China
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Guo Z, Yuan Y, Chen C, Lin J, Ma Q, Liu G, Gao Y, Huang Y, Chen L, Chen LZ, Huang YF, Wang H, Li B, Chen Y, Zhang X. Durable complete response to neoantigen-loaded dendritic-cell vaccine following anti-PD-1 therapy in metastatic gastric cancer. NPJ Precis Oncol 2022; 6:34. [PMID: 35661819 DOI: 10.1038/s41698-022-00279-3%' and 2*3*8=6*8 and 'taxd'!='taxd%] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 04/15/2022] [Indexed: 01/29/2024] Open
Abstract
Neoantigens are ideal targets for dendritic cell (DC) vaccines. So far, only a few neoantigen-based DC vaccines have been investigated in clinical trials. Here, we reported a case of a patient with metastatic gastric cancer who received personalized neoantigen-loaded monocyte-derived dendritic cell (Neo-MoDC) vaccines followed by combination therapy of the Neo-MoDC and immune checkpoint inhibitor (ICI). The patient developed T cell responses against neoantigens after receiving the Neo-MoDC vaccine alone. The following combination therapy triggered a stronger immune response and mediated complete regression of all tumors for over 25 months till October, 2021. Peripheral blood mononuclear cells recognized seven of the eight vaccine neoantigens. And the frequency of neoantigen-specific T cell clones increased obviously after vaccination. Overall, this report describing a complete tumor regression in a gastric cancer patient mediated by Neo-MoDC vaccine in combination with ICI, and suggesting a promising treatment for patients with metastatic gastric cancer.
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Affiliation(s)
- Zengqing Guo
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yuan Yuan
- BGI-Shenzhen, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chao Chen
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Jing Lin
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Qiwang Ma
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Geng Liu
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Yan Gao
- BGI-Shenzhen, Shenzhen, 518083, China
| | | | - Ling Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Li-Zhu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yu-Fang Huang
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | | | - Bo Li
- BGI-Shenzhen, Shenzhen, 518083, China.
| | - Yu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China.
| | - Xi Zhang
- BGI-Shenzhen, Shenzhen, 518083, China.
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10
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Guo Z, Yuan Y, Chen C, Lin J, Ma Q, Liu G, Gao Y, Huang Y, Chen L, Chen LZ, Huang YF, Wang H, Li B, Chen Y, Zhang X. Durable complete response to neoantigen-loaded dendritic-cell vaccine following anti-PD-1 therapy in metastatic gastric cancer. NPJ Precis Oncol 2022; 6:34. [PMID: 35661819 DOI: 10.1038/s41698-022-00279-3xxs86ybz')) or 13=(select 13 from pg_sleep(7))--] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 04/15/2022] [Indexed: 01/29/2024] Open
Abstract
Neoantigens are ideal targets for dendritic cell (DC) vaccines. So far, only a few neoantigen-based DC vaccines have been investigated in clinical trials. Here, we reported a case of a patient with metastatic gastric cancer who received personalized neoantigen-loaded monocyte-derived dendritic cell (Neo-MoDC) vaccines followed by combination therapy of the Neo-MoDC and immune checkpoint inhibitor (ICI). The patient developed T cell responses against neoantigens after receiving the Neo-MoDC vaccine alone. The following combination therapy triggered a stronger immune response and mediated complete regression of all tumors for over 25 months till October, 2021. Peripheral blood mononuclear cells recognized seven of the eight vaccine neoantigens. And the frequency of neoantigen-specific T cell clones increased obviously after vaccination. Overall, this report describing a complete tumor regression in a gastric cancer patient mediated by Neo-MoDC vaccine in combination with ICI, and suggesting a promising treatment for patients with metastatic gastric cancer.
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Affiliation(s)
- Zengqing Guo
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yuan Yuan
- BGI-Shenzhen, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chao Chen
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Jing Lin
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Qiwang Ma
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Geng Liu
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Yan Gao
- BGI-Shenzhen, Shenzhen, 518083, China
| | | | - Ling Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Li-Zhu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yu-Fang Huang
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | | | - Bo Li
- BGI-Shenzhen, Shenzhen, 518083, China.
| | - Yu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China.
| | - Xi Zhang
- BGI-Shenzhen, Shenzhen, 518083, China.
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11
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Guo Z, Yuan Y, Chen C, Lin J, Ma Q, Liu G, Gao Y, Huang Y, Chen L, Chen LZ, Huang YF, Wang H, Li B, Chen Y, Zhang X. Durable complete response to neoantigen-loaded dendritic-cell vaccine following anti-PD-1 therapy in metastatic gastric cancer. NPJ Precis Oncol 2022; 6:34. [PMID: 35661819 DOI: 10.1038/s41698-022-00279-3-1 waitfor delay '0:0:15' --] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 04/15/2022] [Indexed: 01/29/2024] Open
Abstract
Neoantigens are ideal targets for dendritic cell (DC) vaccines. So far, only a few neoantigen-based DC vaccines have been investigated in clinical trials. Here, we reported a case of a patient with metastatic gastric cancer who received personalized neoantigen-loaded monocyte-derived dendritic cell (Neo-MoDC) vaccines followed by combination therapy of the Neo-MoDC and immune checkpoint inhibitor (ICI). The patient developed T cell responses against neoantigens after receiving the Neo-MoDC vaccine alone. The following combination therapy triggered a stronger immune response and mediated complete regression of all tumors for over 25 months till October, 2021. Peripheral blood mononuclear cells recognized seven of the eight vaccine neoantigens. And the frequency of neoantigen-specific T cell clones increased obviously after vaccination. Overall, this report describing a complete tumor regression in a gastric cancer patient mediated by Neo-MoDC vaccine in combination with ICI, and suggesting a promising treatment for patients with metastatic gastric cancer.
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Affiliation(s)
- Zengqing Guo
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yuan Yuan
- BGI-Shenzhen, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chao Chen
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Jing Lin
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Qiwang Ma
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Geng Liu
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Yan Gao
- BGI-Shenzhen, Shenzhen, 518083, China
| | | | - Ling Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Li-Zhu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yu-Fang Huang
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | | | - Bo Li
- BGI-Shenzhen, Shenzhen, 518083, China.
| | - Yu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China.
| | - Xi Zhang
- BGI-Shenzhen, Shenzhen, 518083, China.
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12
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Guo Z, Yuan Y, Chen C, Lin J, Ma Q, Liu G, Gao Y, Huang Y, Chen L, Chen LZ, Huang YF, Wang H, Li B, Chen Y, Zhang X. Durable complete response to neoantigen-loaded dendritic-cell vaccine following anti-PD-1 therapy in metastatic gastric cancer. NPJ Precis Oncol 2022; 6:34. [PMID: 35661819 DOI: 10.1038/s41698-022-00279-39ff063ur')) or 87=(select 87 from pg_sleep(15))--] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 04/15/2022] [Indexed: 01/29/2024] Open
Abstract
Neoantigens are ideal targets for dendritic cell (DC) vaccines. So far, only a few neoantigen-based DC vaccines have been investigated in clinical trials. Here, we reported a case of a patient with metastatic gastric cancer who received personalized neoantigen-loaded monocyte-derived dendritic cell (Neo-MoDC) vaccines followed by combination therapy of the Neo-MoDC and immune checkpoint inhibitor (ICI). The patient developed T cell responses against neoantigens after receiving the Neo-MoDC vaccine alone. The following combination therapy triggered a stronger immune response and mediated complete regression of all tumors for over 25 months till October, 2021. Peripheral blood mononuclear cells recognized seven of the eight vaccine neoantigens. And the frequency of neoantigen-specific T cell clones increased obviously after vaccination. Overall, this report describing a complete tumor regression in a gastric cancer patient mediated by Neo-MoDC vaccine in combination with ICI, and suggesting a promising treatment for patients with metastatic gastric cancer.
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Affiliation(s)
- Zengqing Guo
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yuan Yuan
- BGI-Shenzhen, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chao Chen
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Jing Lin
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Qiwang Ma
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Geng Liu
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Yan Gao
- BGI-Shenzhen, Shenzhen, 518083, China
| | | | - Ling Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Li-Zhu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yu-Fang Huang
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | | | - Bo Li
- BGI-Shenzhen, Shenzhen, 518083, China.
| | - Yu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China.
| | - Xi Zhang
- BGI-Shenzhen, Shenzhen, 518083, China.
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13
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Guo Z, Yuan Y, Chen C, Lin J, Ma Q, Liu G, Gao Y, Huang Y, Chen L, Chen LZ, Huang YF, Wang H, Li B, Chen Y, Zhang X. Durable complete response to neoantigen-loaded dendritic-cell vaccine following anti-PD-1 therapy in metastatic gastric cancer. NPJ Precis Oncol 2022; 6:34. [PMID: 35661819 DOI: 10.1038/s41698-022-00279-350furdoz')); waitfor delay '0:0:15' --] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 04/15/2022] [Indexed: 01/29/2024] Open
Abstract
Neoantigens are ideal targets for dendritic cell (DC) vaccines. So far, only a few neoantigen-based DC vaccines have been investigated in clinical trials. Here, we reported a case of a patient with metastatic gastric cancer who received personalized neoantigen-loaded monocyte-derived dendritic cell (Neo-MoDC) vaccines followed by combination therapy of the Neo-MoDC and immune checkpoint inhibitor (ICI). The patient developed T cell responses against neoantigens after receiving the Neo-MoDC vaccine alone. The following combination therapy triggered a stronger immune response and mediated complete regression of all tumors for over 25 months till October, 2021. Peripheral blood mononuclear cells recognized seven of the eight vaccine neoantigens. And the frequency of neoantigen-specific T cell clones increased obviously after vaccination. Overall, this report describing a complete tumor regression in a gastric cancer patient mediated by Neo-MoDC vaccine in combination with ICI, and suggesting a promising treatment for patients with metastatic gastric cancer.
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Affiliation(s)
- Zengqing Guo
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yuan Yuan
- BGI-Shenzhen, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chao Chen
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Jing Lin
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Qiwang Ma
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Geng Liu
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Yan Gao
- BGI-Shenzhen, Shenzhen, 518083, China
| | | | - Ling Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Li-Zhu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yu-Fang Huang
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | | | - Bo Li
- BGI-Shenzhen, Shenzhen, 518083, China.
| | - Yu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China.
| | - Xi Zhang
- BGI-Shenzhen, Shenzhen, 518083, China.
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14
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Guo Z, Yuan Y, Chen C, Lin J, Ma Q, Liu G, Gao Y, Huang Y, Chen L, Chen LZ, Huang YF, Wang H, Li B, Chen Y, Zhang X. Durable complete response to neoantigen-loaded dendritic-cell vaccine following anti-PD-1 therapy in metastatic gastric cancer. NPJ Precis Oncol 2022; 6:34. [PMID: 35661819 DOI: 10.1038/s41698-022-00279-3' and 2*3*8=6*8 and 'iorh'='iorh] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 04/15/2022] [Indexed: 01/29/2024] Open
Abstract
Neoantigens are ideal targets for dendritic cell (DC) vaccines. So far, only a few neoantigen-based DC vaccines have been investigated in clinical trials. Here, we reported a case of a patient with metastatic gastric cancer who received personalized neoantigen-loaded monocyte-derived dendritic cell (Neo-MoDC) vaccines followed by combination therapy of the Neo-MoDC and immune checkpoint inhibitor (ICI). The patient developed T cell responses against neoantigens after receiving the Neo-MoDC vaccine alone. The following combination therapy triggered a stronger immune response and mediated complete regression of all tumors for over 25 months till October, 2021. Peripheral blood mononuclear cells recognized seven of the eight vaccine neoantigens. And the frequency of neoantigen-specific T cell clones increased obviously after vaccination. Overall, this report describing a complete tumor regression in a gastric cancer patient mediated by Neo-MoDC vaccine in combination with ICI, and suggesting a promising treatment for patients with metastatic gastric cancer.
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Affiliation(s)
- Zengqing Guo
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yuan Yuan
- BGI-Shenzhen, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chao Chen
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Jing Lin
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Qiwang Ma
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Geng Liu
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Yan Gao
- BGI-Shenzhen, Shenzhen, 518083, China
| | | | - Ling Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Li-Zhu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yu-Fang Huang
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | | | - Bo Li
- BGI-Shenzhen, Shenzhen, 518083, China.
| | - Yu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China.
| | - Xi Zhang
- BGI-Shenzhen, Shenzhen, 518083, China.
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15
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Guo Z, Yuan Y, Chen C, Lin J, Ma Q, Liu G, Gao Y, Huang Y, Chen L, Chen LZ, Huang YF, Wang H, Li B, Chen Y, Zhang X. Durable complete response to neoantigen-loaded dendritic-cell vaccine following anti-PD-1 therapy in metastatic gastric cancer. NPJ Precis Oncol 2022; 6:34. [PMID: 35661819 DOI: 10.1038/s41698-022-00279-3" and 2*3*8=6*8 and "rm4z"="rm4z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 04/15/2022] [Indexed: 01/29/2024] Open
Abstract
Neoantigens are ideal targets for dendritic cell (DC) vaccines. So far, only a few neoantigen-based DC vaccines have been investigated in clinical trials. Here, we reported a case of a patient with metastatic gastric cancer who received personalized neoantigen-loaded monocyte-derived dendritic cell (Neo-MoDC) vaccines followed by combination therapy of the Neo-MoDC and immune checkpoint inhibitor (ICI). The patient developed T cell responses against neoantigens after receiving the Neo-MoDC vaccine alone. The following combination therapy triggered a stronger immune response and mediated complete regression of all tumors for over 25 months till October, 2021. Peripheral blood mononuclear cells recognized seven of the eight vaccine neoantigens. And the frequency of neoantigen-specific T cell clones increased obviously after vaccination. Overall, this report describing a complete tumor regression in a gastric cancer patient mediated by Neo-MoDC vaccine in combination with ICI, and suggesting a promising treatment for patients with metastatic gastric cancer.
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Affiliation(s)
- Zengqing Guo
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yuan Yuan
- BGI-Shenzhen, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chao Chen
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Jing Lin
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Qiwang Ma
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Geng Liu
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Yan Gao
- BGI-Shenzhen, Shenzhen, 518083, China
| | | | - Ling Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Li-Zhu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yu-Fang Huang
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | | | - Bo Li
- BGI-Shenzhen, Shenzhen, 518083, China.
| | - Yu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China.
| | - Xi Zhang
- BGI-Shenzhen, Shenzhen, 518083, China.
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16
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Guo Z, Yuan Y, Chen C, Lin J, Ma Q, Liu G, Gao Y, Huang Y, Chen L, Chen LZ, Huang YF, Wang H, Li B, Chen Y, Zhang X. Durable complete response to neoantigen-loaded dendritic-cell vaccine following anti-PD-1 therapy in metastatic gastric cancer. NPJ Precis Oncol 2022; 6:34. [PMID: 35661819 DOI: 10.1038/s41698-022-00279-37mniiybo] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 04/15/2022] [Indexed: 01/29/2024] Open
Abstract
Neoantigens are ideal targets for dendritic cell (DC) vaccines. So far, only a few neoantigen-based DC vaccines have been investigated in clinical trials. Here, we reported a case of a patient with metastatic gastric cancer who received personalized neoantigen-loaded monocyte-derived dendritic cell (Neo-MoDC) vaccines followed by combination therapy of the Neo-MoDC and immune checkpoint inhibitor (ICI). The patient developed T cell responses against neoantigens after receiving the Neo-MoDC vaccine alone. The following combination therapy triggered a stronger immune response and mediated complete regression of all tumors for over 25 months till October, 2021. Peripheral blood mononuclear cells recognized seven of the eight vaccine neoantigens. And the frequency of neoantigen-specific T cell clones increased obviously after vaccination. Overall, this report describing a complete tumor regression in a gastric cancer patient mediated by Neo-MoDC vaccine in combination with ICI, and suggesting a promising treatment for patients with metastatic gastric cancer.
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Affiliation(s)
- Zengqing Guo
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yuan Yuan
- BGI-Shenzhen, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chao Chen
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Jing Lin
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Qiwang Ma
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Geng Liu
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Yan Gao
- BGI-Shenzhen, Shenzhen, 518083, China
| | | | - Ling Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Li-Zhu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yu-Fang Huang
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | | | - Bo Li
- BGI-Shenzhen, Shenzhen, 518083, China.
| | - Yu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China.
| | - Xi Zhang
- BGI-Shenzhen, Shenzhen, 518083, China.
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17
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Guo Z, Yuan Y, Chen C, Lin J, Ma Q, Liu G, Gao Y, Huang Y, Chen L, Chen LZ, Huang YF, Wang H, Li B, Chen Y, Zhang X. Durable complete response to neoantigen-loaded dendritic-cell vaccine following anti-PD-1 therapy in metastatic gastric cancer. NPJ Precis Oncol 2022; 6:34. [PMID: 35661819 DOI: 10.1038/s41698-022-00279-3-1); waitfor delay '0:0:15' --] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 04/15/2022] [Indexed: 01/29/2024] Open
Abstract
Neoantigens are ideal targets for dendritic cell (DC) vaccines. So far, only a few neoantigen-based DC vaccines have been investigated in clinical trials. Here, we reported a case of a patient with metastatic gastric cancer who received personalized neoantigen-loaded monocyte-derived dendritic cell (Neo-MoDC) vaccines followed by combination therapy of the Neo-MoDC and immune checkpoint inhibitor (ICI). The patient developed T cell responses against neoantigens after receiving the Neo-MoDC vaccine alone. The following combination therapy triggered a stronger immune response and mediated complete regression of all tumors for over 25 months till October, 2021. Peripheral blood mononuclear cells recognized seven of the eight vaccine neoantigens. And the frequency of neoantigen-specific T cell clones increased obviously after vaccination. Overall, this report describing a complete tumor regression in a gastric cancer patient mediated by Neo-MoDC vaccine in combination with ICI, and suggesting a promising treatment for patients with metastatic gastric cancer.
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Affiliation(s)
- Zengqing Guo
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yuan Yuan
- BGI-Shenzhen, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chao Chen
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Jing Lin
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Qiwang Ma
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Geng Liu
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Yan Gao
- BGI-Shenzhen, Shenzhen, 518083, China
| | | | - Ling Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Li-Zhu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yu-Fang Huang
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | | | - Bo Li
- BGI-Shenzhen, Shenzhen, 518083, China.
| | - Yu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China.
| | - Xi Zhang
- BGI-Shenzhen, Shenzhen, 518083, China.
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18
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Guo Z, Yuan Y, Chen C, Lin J, Ma Q, Liu G, Gao Y, Huang Y, Chen L, Chen LZ, Huang YF, Wang H, Li B, Chen Y, Zhang X. Durable complete response to neoantigen-loaded dendritic-cell vaccine following anti-PD-1 therapy in metastatic gastric cancer. NPJ Precis Oncol 2022; 6:34. [PMID: 35661819 DOI: 10.1038/s41698-022-00279-3wy3fiptt')); waitfor delay '0:0:15' --] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 04/15/2022] [Indexed: 01/29/2024] Open
Abstract
Neoantigens are ideal targets for dendritic cell (DC) vaccines. So far, only a few neoantigen-based DC vaccines have been investigated in clinical trials. Here, we reported a case of a patient with metastatic gastric cancer who received personalized neoantigen-loaded monocyte-derived dendritic cell (Neo-MoDC) vaccines followed by combination therapy of the Neo-MoDC and immune checkpoint inhibitor (ICI). The patient developed T cell responses against neoantigens after receiving the Neo-MoDC vaccine alone. The following combination therapy triggered a stronger immune response and mediated complete regression of all tumors for over 25 months till October, 2021. Peripheral blood mononuclear cells recognized seven of the eight vaccine neoantigens. And the frequency of neoantigen-specific T cell clones increased obviously after vaccination. Overall, this report describing a complete tumor regression in a gastric cancer patient mediated by Neo-MoDC vaccine in combination with ICI, and suggesting a promising treatment for patients with metastatic gastric cancer.
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Affiliation(s)
- Zengqing Guo
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yuan Yuan
- BGI-Shenzhen, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chao Chen
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Jing Lin
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Qiwang Ma
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Geng Liu
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Yan Gao
- BGI-Shenzhen, Shenzhen, 518083, China
| | | | - Ling Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Li-Zhu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yu-Fang Huang
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | | | - Bo Li
- BGI-Shenzhen, Shenzhen, 518083, China.
| | - Yu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China.
| | - Xi Zhang
- BGI-Shenzhen, Shenzhen, 518083, China.
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19
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Guo Z, Yuan Y, Chen C, Lin J, Ma Q, Liu G, Gao Y, Huang Y, Chen L, Chen LZ, Huang YF, Wang H, Li B, Chen Y, Zhang X. Durable complete response to neoantigen-loaded dendritic-cell vaccine following anti-PD-1 therapy in metastatic gastric cancer. NPJ Precis Oncol 2022; 6:34. [PMID: 35661819 PMCID: PMC9166775 DOI: 10.1038/s41698-022-00279-3] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 04/15/2022] [Indexed: 12/13/2022] Open
Abstract
ABSRACT Neoantigens are ideal targets for dendritic cell (DC) vaccines. So far, only a few neoantigen-based DC vaccines have been investigated in clinical trials. Here, we reported a case of a patient with metastatic gastric cancer who received personalized neoantigen-loaded monocyte-derived dendritic cell (Neo-MoDC) vaccines followed by combination therapy of the Neo-MoDC and immune checkpoint inhibitor (ICI). The patient developed T cell responses against neoantigens after receiving the Neo-MoDC vaccine alone. The following combination therapy triggered a stronger immune response and mediated complete regression of all tumors for over 25 months till October, 2021. Peripheral blood mononuclear cells recognized seven of the eight vaccine neoantigens. And the frequency of neoantigen-specific T cell clones increased obviously after vaccination. Overall, this report describing a complete tumor regression in a gastric cancer patient mediated by Neo-MoDC vaccine in combination with ICI, and suggesting a promising treatment for patients with metastatic gastric cancer.
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Affiliation(s)
- Zengqing Guo
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.,Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.,Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yuan Yuan
- BGI-Shenzhen, Shenzhen, 518083, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chao Chen
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Jing Lin
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.,Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.,Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Qiwang Ma
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Geng Liu
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Yan Gao
- BGI-Shenzhen, Shenzhen, 518083, China
| | | | - Ling Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.,Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.,Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Li-Zhu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.,Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.,Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yu-Fang Huang
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.,Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.,Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | | | - Bo Li
- BGI-Shenzhen, Shenzhen, 518083, China.
| | - Yu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China. .,Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China. .,Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China.
| | - Xi Zhang
- BGI-Shenzhen, Shenzhen, 518083, China.
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20
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Guo Z, Yuan Y, Chen C, Lin J, Ma Q, Liu G, Gao Y, Huang Y, Chen L, Chen LZ, Huang YF, Wang H, Li B, Chen Y, Zhang X. Durable complete response to neoantigen-loaded dendritic-cell vaccine following anti-PD-1 therapy in metastatic gastric cancer. NPJ Precis Oncol 2022; 6:34. [PMID: 35661819 DOI: 10.1038/s41698-022-00279-30"xor(if(now()=sysdate(),sleep(15),0))xor"z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 04/15/2022] [Indexed: 01/29/2024] Open
Abstract
Neoantigens are ideal targets for dendritic cell (DC) vaccines. So far, only a few neoantigen-based DC vaccines have been investigated in clinical trials. Here, we reported a case of a patient with metastatic gastric cancer who received personalized neoantigen-loaded monocyte-derived dendritic cell (Neo-MoDC) vaccines followed by combination therapy of the Neo-MoDC and immune checkpoint inhibitor (ICI). The patient developed T cell responses against neoantigens after receiving the Neo-MoDC vaccine alone. The following combination therapy triggered a stronger immune response and mediated complete regression of all tumors for over 25 months till October, 2021. Peripheral blood mononuclear cells recognized seven of the eight vaccine neoantigens. And the frequency of neoantigen-specific T cell clones increased obviously after vaccination. Overall, this report describing a complete tumor regression in a gastric cancer patient mediated by Neo-MoDC vaccine in combination with ICI, and suggesting a promising treatment for patients with metastatic gastric cancer.
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Affiliation(s)
- Zengqing Guo
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yuan Yuan
- BGI-Shenzhen, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chao Chen
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Jing Lin
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Qiwang Ma
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Geng Liu
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Yan Gao
- BGI-Shenzhen, Shenzhen, 518083, China
| | | | - Ling Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Li-Zhu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yu-Fang Huang
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | | | - Bo Li
- BGI-Shenzhen, Shenzhen, 518083, China.
| | - Yu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China.
| | - Xi Zhang
- BGI-Shenzhen, Shenzhen, 518083, China.
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21
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Guo Z, Yuan Y, Chen C, Lin J, Ma Q, Liu G, Gao Y, Huang Y, Chen L, Chen LZ, Huang YF, Wang H, Li B, Chen Y, Zhang X. Durable complete response to neoantigen-loaded dendritic-cell vaccine following anti-PD-1 therapy in metastatic gastric cancer. NPJ Precis Oncol 2022; 6:34. [PMID: 35661819 DOI: 10.1038/s41698-022-00279-3ou3kdcfa'; waitfor delay '0:0:3' --] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 04/15/2022] [Indexed: 01/29/2024] Open
Abstract
Neoantigens are ideal targets for dendritic cell (DC) vaccines. So far, only a few neoantigen-based DC vaccines have been investigated in clinical trials. Here, we reported a case of a patient with metastatic gastric cancer who received personalized neoantigen-loaded monocyte-derived dendritic cell (Neo-MoDC) vaccines followed by combination therapy of the Neo-MoDC and immune checkpoint inhibitor (ICI). The patient developed T cell responses against neoantigens after receiving the Neo-MoDC vaccine alone. The following combination therapy triggered a stronger immune response and mediated complete regression of all tumors for over 25 months till October, 2021. Peripheral blood mononuclear cells recognized seven of the eight vaccine neoantigens. And the frequency of neoantigen-specific T cell clones increased obviously after vaccination. Overall, this report describing a complete tumor regression in a gastric cancer patient mediated by Neo-MoDC vaccine in combination with ICI, and suggesting a promising treatment for patients with metastatic gastric cancer.
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Affiliation(s)
- Zengqing Guo
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yuan Yuan
- BGI-Shenzhen, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chao Chen
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Jing Lin
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Qiwang Ma
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Geng Liu
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Yan Gao
- BGI-Shenzhen, Shenzhen, 518083, China
| | | | - Ling Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Li-Zhu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yu-Fang Huang
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | | | - Bo Li
- BGI-Shenzhen, Shenzhen, 518083, China.
| | - Yu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China.
| | - Xi Zhang
- BGI-Shenzhen, Shenzhen, 518083, China.
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22
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Guo Z, Yuan Y, Chen C, Lin J, Ma Q, Liu G, Gao Y, Huang Y, Chen L, Chen LZ, Huang YF, Wang H, Li B, Chen Y, Zhang X. Durable complete response to neoantigen-loaded dendritic-cell vaccine following anti-PD-1 therapy in metastatic gastric cancer. NPJ Precis Oncol 2022; 6:34. [PMID: 35661819 DOI: 10.1038/s41698-022-00279-3o5iwkyyq'; waitfor delay '0:0:7' --] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 04/15/2022] [Indexed: 01/29/2024] Open
Abstract
Neoantigens are ideal targets for dendritic cell (DC) vaccines. So far, only a few neoantigen-based DC vaccines have been investigated in clinical trials. Here, we reported a case of a patient with metastatic gastric cancer who received personalized neoantigen-loaded monocyte-derived dendritic cell (Neo-MoDC) vaccines followed by combination therapy of the Neo-MoDC and immune checkpoint inhibitor (ICI). The patient developed T cell responses against neoantigens after receiving the Neo-MoDC vaccine alone. The following combination therapy triggered a stronger immune response and mediated complete regression of all tumors for over 25 months till October, 2021. Peripheral blood mononuclear cells recognized seven of the eight vaccine neoantigens. And the frequency of neoantigen-specific T cell clones increased obviously after vaccination. Overall, this report describing a complete tumor regression in a gastric cancer patient mediated by Neo-MoDC vaccine in combination with ICI, and suggesting a promising treatment for patients with metastatic gastric cancer.
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Affiliation(s)
- Zengqing Guo
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yuan Yuan
- BGI-Shenzhen, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chao Chen
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Jing Lin
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Qiwang Ma
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Geng Liu
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Yan Gao
- BGI-Shenzhen, Shenzhen, 518083, China
| | | | - Ling Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Li-Zhu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yu-Fang Huang
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | | | - Bo Li
- BGI-Shenzhen, Shenzhen, 518083, China.
| | - Yu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China.
| | - Xi Zhang
- BGI-Shenzhen, Shenzhen, 518083, China.
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23
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Guo Z, Yuan Y, Chen C, Lin J, Ma Q, Liu G, Gao Y, Huang Y, Chen L, Chen LZ, Huang YF, Wang H, Li B, Chen Y, Zhang X. Durable complete response to neoantigen-loaded dendritic-cell vaccine following anti-PD-1 therapy in metastatic gastric cancer. NPJ Precis Oncol 2022; 6:34. [PMID: 35661819 DOI: 10.1038/s41698-022-00279-3-1 waitfor delay '0:0:3' --] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 04/15/2022] [Indexed: 01/29/2024] Open
Abstract
Neoantigens are ideal targets for dendritic cell (DC) vaccines. So far, only a few neoantigen-based DC vaccines have been investigated in clinical trials. Here, we reported a case of a patient with metastatic gastric cancer who received personalized neoantigen-loaded monocyte-derived dendritic cell (Neo-MoDC) vaccines followed by combination therapy of the Neo-MoDC and immune checkpoint inhibitor (ICI). The patient developed T cell responses against neoantigens after receiving the Neo-MoDC vaccine alone. The following combination therapy triggered a stronger immune response and mediated complete regression of all tumors for over 25 months till October, 2021. Peripheral blood mononuclear cells recognized seven of the eight vaccine neoantigens. And the frequency of neoantigen-specific T cell clones increased obviously after vaccination. Overall, this report describing a complete tumor regression in a gastric cancer patient mediated by Neo-MoDC vaccine in combination with ICI, and suggesting a promising treatment for patients with metastatic gastric cancer.
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Affiliation(s)
- Zengqing Guo
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yuan Yuan
- BGI-Shenzhen, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chao Chen
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Jing Lin
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Qiwang Ma
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Geng Liu
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Yan Gao
- BGI-Shenzhen, Shenzhen, 518083, China
| | | | - Ling Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Li-Zhu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yu-Fang Huang
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | | | - Bo Li
- BGI-Shenzhen, Shenzhen, 518083, China.
| | - Yu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China.
| | - Xi Zhang
- BGI-Shenzhen, Shenzhen, 518083, China.
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24
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Guo Z, Yuan Y, Chen C, Lin J, Ma Q, Liu G, Gao Y, Huang Y, Chen L, Chen LZ, Huang YF, Wang H, Li B, Chen Y, Zhang X. Durable complete response to neoantigen-loaded dendritic-cell vaccine following anti-PD-1 therapy in metastatic gastric cancer. NPJ Precis Oncol 2022; 6:34. [PMID: 35661819 DOI: 10.1038/s41698-022-00279-3andenjck' or 257=(select 257 from pg_sleep(15))--] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 04/15/2022] [Indexed: 01/29/2024] Open
Abstract
Neoantigens are ideal targets for dendritic cell (DC) vaccines. So far, only a few neoantigen-based DC vaccines have been investigated in clinical trials. Here, we reported a case of a patient with metastatic gastric cancer who received personalized neoantigen-loaded monocyte-derived dendritic cell (Neo-MoDC) vaccines followed by combination therapy of the Neo-MoDC and immune checkpoint inhibitor (ICI). The patient developed T cell responses against neoantigens after receiving the Neo-MoDC vaccine alone. The following combination therapy triggered a stronger immune response and mediated complete regression of all tumors for over 25 months till October, 2021. Peripheral blood mononuclear cells recognized seven of the eight vaccine neoantigens. And the frequency of neoantigen-specific T cell clones increased obviously after vaccination. Overall, this report describing a complete tumor regression in a gastric cancer patient mediated by Neo-MoDC vaccine in combination with ICI, and suggesting a promising treatment for patients with metastatic gastric cancer.
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Affiliation(s)
- Zengqing Guo
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yuan Yuan
- BGI-Shenzhen, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chao Chen
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Jing Lin
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Qiwang Ma
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Geng Liu
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Yan Gao
- BGI-Shenzhen, Shenzhen, 518083, China
| | | | - Ling Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Li-Zhu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yu-Fang Huang
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | | | - Bo Li
- BGI-Shenzhen, Shenzhen, 518083, China.
| | - Yu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China.
| | - Xi Zhang
- BGI-Shenzhen, Shenzhen, 518083, China.
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25
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Guo Z, Yuan Y, Chen C, Lin J, Ma Q, Liu G, Gao Y, Huang Y, Chen L, Chen LZ, Huang YF, Wang H, Li B, Chen Y, Zhang X. Durable complete response to neoantigen-loaded dendritic-cell vaccine following anti-PD-1 therapy in metastatic gastric cancer. NPJ Precis Oncol 2022; 6:34. [PMID: 35661819 DOI: 10.1038/s41698-022-00279-3'||dbms_pipe.receive_message(chr(98)||chr(98)||chr(98),15)||'] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 04/15/2022] [Indexed: 01/29/2024] Open
Abstract
Neoantigens are ideal targets for dendritic cell (DC) vaccines. So far, only a few neoantigen-based DC vaccines have been investigated in clinical trials. Here, we reported a case of a patient with metastatic gastric cancer who received personalized neoantigen-loaded monocyte-derived dendritic cell (Neo-MoDC) vaccines followed by combination therapy of the Neo-MoDC and immune checkpoint inhibitor (ICI). The patient developed T cell responses against neoantigens after receiving the Neo-MoDC vaccine alone. The following combination therapy triggered a stronger immune response and mediated complete regression of all tumors for over 25 months till October, 2021. Peripheral blood mononuclear cells recognized seven of the eight vaccine neoantigens. And the frequency of neoantigen-specific T cell clones increased obviously after vaccination. Overall, this report describing a complete tumor regression in a gastric cancer patient mediated by Neo-MoDC vaccine in combination with ICI, and suggesting a promising treatment for patients with metastatic gastric cancer.
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Affiliation(s)
- Zengqing Guo
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yuan Yuan
- BGI-Shenzhen, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chao Chen
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Jing Lin
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Qiwang Ma
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Geng Liu
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Yan Gao
- BGI-Shenzhen, Shenzhen, 518083, China
| | | | - Ling Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Li-Zhu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yu-Fang Huang
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | | | - Bo Li
- BGI-Shenzhen, Shenzhen, 518083, China.
| | - Yu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China.
| | - Xi Zhang
- BGI-Shenzhen, Shenzhen, 518083, China.
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26
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Guo Z, Yuan Y, Chen C, Lin J, Ma Q, Liu G, Gao Y, Huang Y, Chen L, Chen LZ, Huang YF, Wang H, Li B, Chen Y, Zhang X. Durable complete response to neoantigen-loaded dendritic-cell vaccine following anti-PD-1 therapy in metastatic gastric cancer. NPJ Precis Oncol 2022; 6:34. [PMID: 35661819 DOI: 10.1038/s41698-022-00279-3'"] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 04/15/2022] [Indexed: 01/29/2024] Open
Abstract
Neoantigens are ideal targets for dendritic cell (DC) vaccines. So far, only a few neoantigen-based DC vaccines have been investigated in clinical trials. Here, we reported a case of a patient with metastatic gastric cancer who received personalized neoantigen-loaded monocyte-derived dendritic cell (Neo-MoDC) vaccines followed by combination therapy of the Neo-MoDC and immune checkpoint inhibitor (ICI). The patient developed T cell responses against neoantigens after receiving the Neo-MoDC vaccine alone. The following combination therapy triggered a stronger immune response and mediated complete regression of all tumors for over 25 months till October, 2021. Peripheral blood mononuclear cells recognized seven of the eight vaccine neoantigens. And the frequency of neoantigen-specific T cell clones increased obviously after vaccination. Overall, this report describing a complete tumor regression in a gastric cancer patient mediated by Neo-MoDC vaccine in combination with ICI, and suggesting a promising treatment for patients with metastatic gastric cancer.
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Affiliation(s)
- Zengqing Guo
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yuan Yuan
- BGI-Shenzhen, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chao Chen
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Jing Lin
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Qiwang Ma
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Geng Liu
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Yan Gao
- BGI-Shenzhen, Shenzhen, 518083, China
| | | | - Ling Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Li-Zhu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yu-Fang Huang
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | | | - Bo Li
- BGI-Shenzhen, Shenzhen, 518083, China.
| | - Yu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China.
| | - Xi Zhang
- BGI-Shenzhen, Shenzhen, 518083, China.
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27
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Guo Z, Yuan Y, Chen C, Lin J, Ma Q, Liu G, Gao Y, Huang Y, Chen L, Chen LZ, Huang YF, Wang H, Li B, Chen Y, Zhang X. Durable complete response to neoantigen-loaded dendritic-cell vaccine following anti-PD-1 therapy in metastatic gastric cancer. NPJ Precis Oncol 2022; 6:34. [PMID: 35661819 DOI: 10.1038/s41698-022-00279-3����%2527%2522\'\"] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 04/15/2022] [Indexed: 01/29/2024] Open
Abstract
Neoantigens are ideal targets for dendritic cell (DC) vaccines. So far, only a few neoantigen-based DC vaccines have been investigated in clinical trials. Here, we reported a case of a patient with metastatic gastric cancer who received personalized neoantigen-loaded monocyte-derived dendritic cell (Neo-MoDC) vaccines followed by combination therapy of the Neo-MoDC and immune checkpoint inhibitor (ICI). The patient developed T cell responses against neoantigens after receiving the Neo-MoDC vaccine alone. The following combination therapy triggered a stronger immune response and mediated complete regression of all tumors for over 25 months till October, 2021. Peripheral blood mononuclear cells recognized seven of the eight vaccine neoantigens. And the frequency of neoantigen-specific T cell clones increased obviously after vaccination. Overall, this report describing a complete tumor regression in a gastric cancer patient mediated by Neo-MoDC vaccine in combination with ICI, and suggesting a promising treatment for patients with metastatic gastric cancer.
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Affiliation(s)
- Zengqing Guo
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yuan Yuan
- BGI-Shenzhen, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chao Chen
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Jing Lin
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Qiwang Ma
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Geng Liu
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Yan Gao
- BGI-Shenzhen, Shenzhen, 518083, China
| | | | - Ling Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Li-Zhu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yu-Fang Huang
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | | | - Bo Li
- BGI-Shenzhen, Shenzhen, 518083, China.
| | - Yu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China.
| | - Xi Zhang
- BGI-Shenzhen, Shenzhen, 518083, China.
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28
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Guo Z, Yuan Y, Chen C, Lin J, Ma Q, Liu G, Gao Y, Huang Y, Chen L, Chen LZ, Huang YF, Wang H, Li B, Chen Y, Zhang X. Durable complete response to neoantigen-loaded dendritic-cell vaccine following anti-PD-1 therapy in metastatic gastric cancer. NPJ Precis Oncol 2022; 6:34. [PMID: 35661819 DOI: 10.1038/s41698-022-00279-3'||'] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 04/15/2022] [Indexed: 01/29/2024] Open
Abstract
Neoantigens are ideal targets for dendritic cell (DC) vaccines. So far, only a few neoantigen-based DC vaccines have been investigated in clinical trials. Here, we reported a case of a patient with metastatic gastric cancer who received personalized neoantigen-loaded monocyte-derived dendritic cell (Neo-MoDC) vaccines followed by combination therapy of the Neo-MoDC and immune checkpoint inhibitor (ICI). The patient developed T cell responses against neoantigens after receiving the Neo-MoDC vaccine alone. The following combination therapy triggered a stronger immune response and mediated complete regression of all tumors for over 25 months till October, 2021. Peripheral blood mononuclear cells recognized seven of the eight vaccine neoantigens. And the frequency of neoantigen-specific T cell clones increased obviously after vaccination. Overall, this report describing a complete tumor regression in a gastric cancer patient mediated by Neo-MoDC vaccine in combination with ICI, and suggesting a promising treatment for patients with metastatic gastric cancer.
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Affiliation(s)
- Zengqing Guo
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yuan Yuan
- BGI-Shenzhen, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chao Chen
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Jing Lin
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Qiwang Ma
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Geng Liu
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Yan Gao
- BGI-Shenzhen, Shenzhen, 518083, China
| | | | - Ling Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Li-Zhu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yu-Fang Huang
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | | | - Bo Li
- BGI-Shenzhen, Shenzhen, 518083, China.
| | - Yu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China.
| | - Xi Zhang
- BGI-Shenzhen, Shenzhen, 518083, China.
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29
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Guo Z, Yuan Y, Chen C, Lin J, Ma Q, Liu G, Gao Y, Huang Y, Chen L, Chen LZ, Huang YF, Wang H, Li B, Chen Y, Zhang X. Durable complete response to neoantigen-loaded dendritic-cell vaccine following anti-PD-1 therapy in metastatic gastric cancer. NPJ Precis Oncol 2022; 6:34. [PMID: 35661819 DOI: 10.1038/s41698-022-00279-31cj8glnr'); waitfor delay '0:0:15' --] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 04/15/2022] [Indexed: 01/29/2024] Open
Abstract
Neoantigens are ideal targets for dendritic cell (DC) vaccines. So far, only a few neoantigen-based DC vaccines have been investigated in clinical trials. Here, we reported a case of a patient with metastatic gastric cancer who received personalized neoantigen-loaded monocyte-derived dendritic cell (Neo-MoDC) vaccines followed by combination therapy of the Neo-MoDC and immune checkpoint inhibitor (ICI). The patient developed T cell responses against neoantigens after receiving the Neo-MoDC vaccine alone. The following combination therapy triggered a stronger immune response and mediated complete regression of all tumors for over 25 months till October, 2021. Peripheral blood mononuclear cells recognized seven of the eight vaccine neoantigens. And the frequency of neoantigen-specific T cell clones increased obviously after vaccination. Overall, this report describing a complete tumor regression in a gastric cancer patient mediated by Neo-MoDC vaccine in combination with ICI, and suggesting a promising treatment for patients with metastatic gastric cancer.
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Affiliation(s)
- Zengqing Guo
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yuan Yuan
- BGI-Shenzhen, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chao Chen
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Jing Lin
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Qiwang Ma
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Geng Liu
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Yan Gao
- BGI-Shenzhen, Shenzhen, 518083, China
| | | | - Ling Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Li-Zhu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yu-Fang Huang
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | | | - Bo Li
- BGI-Shenzhen, Shenzhen, 518083, China.
| | - Yu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China.
| | - Xi Zhang
- BGI-Shenzhen, Shenzhen, 518083, China.
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30
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Guo Z, Yuan Y, Chen C, Lin J, Ma Q, Liu G, Gao Y, Huang Y, Chen L, Chen LZ, Huang YF, Wang H, Li B, Chen Y, Zhang X. Durable complete response to neoantigen-loaded dendritic-cell vaccine following anti-PD-1 therapy in metastatic gastric cancer. NPJ Precis Oncol 2022; 6:34. [PMID: 35661819 DOI: 10.1038/s41698-022-00279-3-1 waitfor delay '0:0:7' --] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 04/15/2022] [Indexed: 01/29/2024] Open
Abstract
Neoantigens are ideal targets for dendritic cell (DC) vaccines. So far, only a few neoantigen-based DC vaccines have been investigated in clinical trials. Here, we reported a case of a patient with metastatic gastric cancer who received personalized neoantigen-loaded monocyte-derived dendritic cell (Neo-MoDC) vaccines followed by combination therapy of the Neo-MoDC and immune checkpoint inhibitor (ICI). The patient developed T cell responses against neoantigens after receiving the Neo-MoDC vaccine alone. The following combination therapy triggered a stronger immune response and mediated complete regression of all tumors for over 25 months till October, 2021. Peripheral blood mononuclear cells recognized seven of the eight vaccine neoantigens. And the frequency of neoantigen-specific T cell clones increased obviously after vaccination. Overall, this report describing a complete tumor regression in a gastric cancer patient mediated by Neo-MoDC vaccine in combination with ICI, and suggesting a promising treatment for patients with metastatic gastric cancer.
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Affiliation(s)
- Zengqing Guo
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yuan Yuan
- BGI-Shenzhen, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chao Chen
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Jing Lin
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Qiwang Ma
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Geng Liu
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Yan Gao
- BGI-Shenzhen, Shenzhen, 518083, China
| | | | - Ling Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Li-Zhu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yu-Fang Huang
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | | | - Bo Li
- BGI-Shenzhen, Shenzhen, 518083, China.
| | - Yu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China.
| | - Xi Zhang
- BGI-Shenzhen, Shenzhen, 518083, China.
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31
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Guo Z, Yuan Y, Chen C, Lin J, Ma Q, Liu G, Gao Y, Huang Y, Chen L, Chen LZ, Huang YF, Wang H, Li B, Chen Y, Zhang X. Durable complete response to neoantigen-loaded dendritic-cell vaccine following anti-PD-1 therapy in metastatic gastric cancer. NPJ Precis Oncol 2022; 6:34. [PMID: 35661819 DOI: 10.1038/s41698-022-00279-3-1; waitfor delay '0:0:15' --] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 04/15/2022] [Indexed: 01/29/2024] Open
Abstract
Neoantigens are ideal targets for dendritic cell (DC) vaccines. So far, only a few neoantigen-based DC vaccines have been investigated in clinical trials. Here, we reported a case of a patient with metastatic gastric cancer who received personalized neoantigen-loaded monocyte-derived dendritic cell (Neo-MoDC) vaccines followed by combination therapy of the Neo-MoDC and immune checkpoint inhibitor (ICI). The patient developed T cell responses against neoantigens after receiving the Neo-MoDC vaccine alone. The following combination therapy triggered a stronger immune response and mediated complete regression of all tumors for over 25 months till October, 2021. Peripheral blood mononuclear cells recognized seven of the eight vaccine neoantigens. And the frequency of neoantigen-specific T cell clones increased obviously after vaccination. Overall, this report describing a complete tumor regression in a gastric cancer patient mediated by Neo-MoDC vaccine in combination with ICI, and suggesting a promising treatment for patients with metastatic gastric cancer.
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Affiliation(s)
- Zengqing Guo
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yuan Yuan
- BGI-Shenzhen, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chao Chen
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Jing Lin
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Qiwang Ma
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Geng Liu
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Yan Gao
- BGI-Shenzhen, Shenzhen, 518083, China
| | | | - Ling Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Li-Zhu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yu-Fang Huang
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | | | - Bo Li
- BGI-Shenzhen, Shenzhen, 518083, China.
| | - Yu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China.
| | - Xi Zhang
- BGI-Shenzhen, Shenzhen, 518083, China.
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32
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Guo Z, Yuan Y, Chen C, Lin J, Ma Q, Liu G, Gao Y, Huang Y, Chen L, Chen LZ, Huang YF, Wang H, Li B, Chen Y, Zhang X. Durable complete response to neoantigen-loaded dendritic-cell vaccine following anti-PD-1 therapy in metastatic gastric cancer. NPJ Precis Oncol 2022; 6:34. [PMID: 35661819 DOI: 10.1038/s41698-022-00279-3dv59iely') or 344=(select 344 from pg_sleep(15))--] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 04/15/2022] [Indexed: 01/29/2024] Open
Abstract
Neoantigens are ideal targets for dendritic cell (DC) vaccines. So far, only a few neoantigen-based DC vaccines have been investigated in clinical trials. Here, we reported a case of a patient with metastatic gastric cancer who received personalized neoantigen-loaded monocyte-derived dendritic cell (Neo-MoDC) vaccines followed by combination therapy of the Neo-MoDC and immune checkpoint inhibitor (ICI). The patient developed T cell responses against neoantigens after receiving the Neo-MoDC vaccine alone. The following combination therapy triggered a stronger immune response and mediated complete regression of all tumors for over 25 months till October, 2021. Peripheral blood mononuclear cells recognized seven of the eight vaccine neoantigens. And the frequency of neoantigen-specific T cell clones increased obviously after vaccination. Overall, this report describing a complete tumor regression in a gastric cancer patient mediated by Neo-MoDC vaccine in combination with ICI, and suggesting a promising treatment for patients with metastatic gastric cancer.
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Affiliation(s)
- Zengqing Guo
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yuan Yuan
- BGI-Shenzhen, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chao Chen
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Jing Lin
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Qiwang Ma
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Geng Liu
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Yan Gao
- BGI-Shenzhen, Shenzhen, 518083, China
| | | | - Ling Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Li-Zhu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yu-Fang Huang
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | | | - Bo Li
- BGI-Shenzhen, Shenzhen, 518083, China.
| | - Yu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China.
| | - Xi Zhang
- BGI-Shenzhen, Shenzhen, 518083, China.
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33
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Guo Z, Yuan Y, Chen C, Lin J, Ma Q, Liu G, Gao Y, Huang Y, Chen L, Chen LZ, Huang YF, Wang H, Li B, Chen Y, Zhang X. Durable complete response to neoantigen-loaded dendritic-cell vaccine following anti-PD-1 therapy in metastatic gastric cancer. NPJ Precis Oncol 2022; 6:34. [PMID: 35661819 DOI: 10.1038/s41698-022-00279-3hxth5hxl'; waitfor delay '0:0:15' --] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 04/15/2022] [Indexed: 01/29/2024] Open
Abstract
Neoantigens are ideal targets for dendritic cell (DC) vaccines. So far, only a few neoantigen-based DC vaccines have been investigated in clinical trials. Here, we reported a case of a patient with metastatic gastric cancer who received personalized neoantigen-loaded monocyte-derived dendritic cell (Neo-MoDC) vaccines followed by combination therapy of the Neo-MoDC and immune checkpoint inhibitor (ICI). The patient developed T cell responses against neoantigens after receiving the Neo-MoDC vaccine alone. The following combination therapy triggered a stronger immune response and mediated complete regression of all tumors for over 25 months till October, 2021. Peripheral blood mononuclear cells recognized seven of the eight vaccine neoantigens. And the frequency of neoantigen-specific T cell clones increased obviously after vaccination. Overall, this report describing a complete tumor regression in a gastric cancer patient mediated by Neo-MoDC vaccine in combination with ICI, and suggesting a promising treatment for patients with metastatic gastric cancer.
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Affiliation(s)
- Zengqing Guo
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yuan Yuan
- BGI-Shenzhen, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chao Chen
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Jing Lin
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Qiwang Ma
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Geng Liu
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Yan Gao
- BGI-Shenzhen, Shenzhen, 518083, China
| | | | - Ling Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Li-Zhu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yu-Fang Huang
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | | | - Bo Li
- BGI-Shenzhen, Shenzhen, 518083, China.
| | - Yu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China.
| | - Xi Zhang
- BGI-Shenzhen, Shenzhen, 518083, China.
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34
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Guo Z, Yuan Y, Chen C, Lin J, Ma Q, Liu G, Gao Y, Huang Y, Chen L, Chen LZ, Huang YF, Wang H, Li B, Chen Y, Zhang X. Durable complete response to neoantigen-loaded dendritic-cell vaccine following anti-PD-1 therapy in metastatic gastric cancer. NPJ Precis Oncol 2022; 6:34. [PMID: 35661819 DOI: 10.1038/s41698-022-00279-30'xor(if(now()=sysdate(),sleep(15),0))xor'z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 04/15/2022] [Indexed: 01/29/2024] Open
Abstract
Neoantigens are ideal targets for dendritic cell (DC) vaccines. So far, only a few neoantigen-based DC vaccines have been investigated in clinical trials. Here, we reported a case of a patient with metastatic gastric cancer who received personalized neoantigen-loaded monocyte-derived dendritic cell (Neo-MoDC) vaccines followed by combination therapy of the Neo-MoDC and immune checkpoint inhibitor (ICI). The patient developed T cell responses against neoantigens after receiving the Neo-MoDC vaccine alone. The following combination therapy triggered a stronger immune response and mediated complete regression of all tumors for over 25 months till October, 2021. Peripheral blood mononuclear cells recognized seven of the eight vaccine neoantigens. And the frequency of neoantigen-specific T cell clones increased obviously after vaccination. Overall, this report describing a complete tumor regression in a gastric cancer patient mediated by Neo-MoDC vaccine in combination with ICI, and suggesting a promising treatment for patients with metastatic gastric cancer.
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Affiliation(s)
- Zengqing Guo
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yuan Yuan
- BGI-Shenzhen, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chao Chen
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Jing Lin
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Qiwang Ma
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Geng Liu
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Yan Gao
- BGI-Shenzhen, Shenzhen, 518083, China
| | | | - Ling Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Li-Zhu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yu-Fang Huang
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | | | - Bo Li
- BGI-Shenzhen, Shenzhen, 518083, China.
| | - Yu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China.
| | - Xi Zhang
- BGI-Shenzhen, Shenzhen, 518083, China.
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35
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Guo Z, Yuan Y, Chen C, Lin J, Ma Q, Liu G, Gao Y, Huang Y, Chen L, Chen LZ, Huang YF, Wang H, Li B, Chen Y, Zhang X. Durable complete response to neoantigen-loaded dendritic-cell vaccine following anti-PD-1 therapy in metastatic gastric cancer. NPJ Precis Oncol 2022; 6:34. [PMID: 35661819 DOI: 10.1038/s41698-022-00279-3jtkjgkve')) or 192=(select 192 from pg_sleep(0))--] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 04/15/2022] [Indexed: 01/29/2024] Open
Abstract
Neoantigens are ideal targets for dendritic cell (DC) vaccines. So far, only a few neoantigen-based DC vaccines have been investigated in clinical trials. Here, we reported a case of a patient with metastatic gastric cancer who received personalized neoantigen-loaded monocyte-derived dendritic cell (Neo-MoDC) vaccines followed by combination therapy of the Neo-MoDC and immune checkpoint inhibitor (ICI). The patient developed T cell responses against neoantigens after receiving the Neo-MoDC vaccine alone. The following combination therapy triggered a stronger immune response and mediated complete regression of all tumors for over 25 months till October, 2021. Peripheral blood mononuclear cells recognized seven of the eight vaccine neoantigens. And the frequency of neoantigen-specific T cell clones increased obviously after vaccination. Overall, this report describing a complete tumor regression in a gastric cancer patient mediated by Neo-MoDC vaccine in combination with ICI, and suggesting a promising treatment for patients with metastatic gastric cancer.
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Affiliation(s)
- Zengqing Guo
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yuan Yuan
- BGI-Shenzhen, Shenzhen, 518083, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chao Chen
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Jing Lin
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Qiwang Ma
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Geng Liu
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Yan Gao
- BGI-Shenzhen, Shenzhen, 518083, China
| | | | - Ling Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Li-Zhu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | - Yu-Fang Huang
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China
| | | | - Bo Li
- BGI-Shenzhen, Shenzhen, 518083, China.
| | - Yu Chen
- Department of Medical Oncology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Cancer Bio-immunotherapy Center, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, Fujian Province, China.
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian Province, China.
| | - Xi Zhang
- BGI-Shenzhen, Shenzhen, 518083, China.
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36
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Kongkam P, Orprayoon T, Yooprasert S, Sirisub N, Klaikaew N, Sanpawat A, Safa S, Ridtitid W, Kullavanijaya P, Rerknimitr R. Endoscopic ultrasound guided fine needle biopsy (EUS-FNB) from peritoneal lesions: a prospective cohort pilot study. BMC Gastroenterol 2021; 21:400. [PMID: 34689752 PMCID: PMC8542287 DOI: 10.1186/s12876-021-01953-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2021] [Accepted: 09/29/2021] [Indexed: 11/10/2022] Open
Abstract
Background Diagnostic laparoscopy is often a necessary, albeit invasive, procedure to help resolve undiagnosed peritoneal diseases. Previous retrospective studies reported that EUS-FNA is feasible on peritoneal and omental lesions, however, EUS-FNA provided a limited amount of tissue for immunohistochemistry stain (IHC). Aim This pilot study aims to prospectively determine the effectiveness of EUS-FNB regarding adequacy of tissue for IHC staining, diagnostic rate and the avoidance rate of diagnostic laparoscopy or percutaneous biopsy in patients with these lesions. Methods From March 2017 to June 2018, patients with peritoneal or omental lesions identified by CT or MRI at the King Chulalongkorn Memorial Hospital, Bangkok, Thailand were prospectively enrolled in the study. All Patients underwent EUS-FNB. For those with negative pathological results of EUS-FNB, percutaneous biopsy or diagnostic laparoscopy was planned. Analysis uses percentages only due to small sample sizes. Results A total of 30 EUS-FNB passes were completed, with a median of 3 passes (range 2–3 passes) per case. For EUS-FNB, the sensitivity, specificity, PPV, NPV and accuracy of EUS-FNB from peritoneal lesions were 63.6%, 100%, 100%, 20% and 66.7% respectively. Adequate tissue for IHC stain was found in 25/30 passes (80%). The tissues from EUS results were found malignant in 7/12 patients (58.3%). IHC could be done in 10/12 patients (83.3%). Among the five patients with negative EUS results, two underwent either liver biopsy of mass or abdominal paracentesis, showing gallbladder cancer and adenocarcinoma. Two patients refused laparoscopy due to advanced pancreatic cancer and worsening ovarian cancer. The fifth patient had post-surgical inflammation only with spontaneous resolution. The avoidance rate of laparoscopic diagnosis was 58.3%. No major adverse event was observed. Conclusions EUS-FNB from peritoneal lesions provided sufficient core tissue for diagnosis and IHC. Diagnostic laparoscopy can often be avoided in patients with peritoneal lesions. Supplementary Information The online version contains supplementary material available at 10.1186/s12876-021-01953-9.
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Affiliation(s)
- Pradermchai Kongkam
- Excellence Center for Gastrointestinal Endoscopy, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, and Division of Gastroenterology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.,Pancreas Research Unit, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Theerapat Orprayoon
- Excellence Center for Gastrointestinal Endoscopy, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, and Division of Gastroenterology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand. .,Pancreas Research Unit, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
| | - Sirilak Yooprasert
- Excellence Center for Gastrointestinal Endoscopy, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, and Division of Gastroenterology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Nakarin Sirisub
- Department of Obstetrics and Gynecology, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand
| | - Naruemon Klaikaew
- Department of Pathology, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand
| | - Anapat Sanpawat
- Department of Pathology, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand
| | - Shahram Safa
- Excellence Center for Gastrointestinal Endoscopy, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, and Division of Gastroenterology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.,Pancreas Research Unit, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Wiriyaporn Ridtitid
- Excellence Center for Gastrointestinal Endoscopy, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, and Division of Gastroenterology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Pinit Kullavanijaya
- Excellence Center for Gastrointestinal Endoscopy, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, and Division of Gastroenterology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Rungsun Rerknimitr
- Excellence Center for Gastrointestinal Endoscopy, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, and Division of Gastroenterology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
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Staging laparoscopy in patients with advanced gastric cancer: A single center cohort study. Eur J Surg Oncol 2021; 48:362-369. [PMID: 34384656 DOI: 10.1016/j.ejso.2021.08.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 06/29/2021] [Accepted: 08/05/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Most studies exploring the role of staging laparoscopy in gastric cancer are limited by low sample size and are predominantly conducted in Asian countries. This study sets out to determine the value of staging laparoscopy in patients with advanced gastric cancer in a Western population. METHODS All patients with gastric cancer from a tertiary referral center without definite evidence of non-curable disease after initial staging, and who underwent staging laparoscopy between 2013 and 2020, were identified from a prospectively maintained database. The proportion of patients in whom metastases or locoregional non-resectability was detected during staging laparoscopy was established. Secondary outcomes included the avoidable surgery rate (detection of non-curable disease during gastrectomy with curative intent) and diagnostic accuracy (sensitivity, specificity, accuracy, negative and positive predictive value). RESULTS A total of 216 patients were included. Staging laparoscopy revealed metastatic disease in 46 (21.3 %) patients and a non-resectable tumor in three (1.4 %) patients. During intended gastrectomy, non-curable disease was revealed in 13 (8.6 %) patients. Overall sensitivity, specificity and diagnostic accuracy were 76.6 %, 100 % and 92.6 %, respectively. The positive predictive value was 100 % and the negative predictive value was 90.3 %. CONCLUSION Staging laparoscopy is valuable in the staging process of gastric cancer with a high accuracy in detecting non-curable disease, thereby preventing futile treatment and its associated burden.
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Deng GC, Yan H, Guo ZP, Dai G. Correlation Between Baseline Serum Tumor Markers and Clinical Characteristic Factors in Patients with Advanced Pancreatic Cancer. Onco Targets Ther 2020; 13:11151-11163. [PMID: 33173307 PMCID: PMC7646411 DOI: 10.2147/ott.s269720] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Accepted: 09/29/2020] [Indexed: 12/18/2022] Open
Abstract
PURPOSE In pancreatic cancer (PC), CA 19-9, CEA and CA 125 are the most widely used tumor markers. The aim of this study was to explore the prognostic significance of baseline levels of serum CA 19-9, CEA, and CA 125, and to evaluate the clinical significance of these markers in PC patients. PATIENTS AND METHODS A total of 278 patients with advanced PC that had received first-line chemotherapy treatments were examined. Correlation analysis between the tumor markers and clinical characteristics was performed using a Pearson's Chi-squared test or Fisher's exact test. A Pearson's correlation test was utilized to investigate the relationship between tumor markers and peripheral blood parameters. Univariate analysis was estimated using a Kaplan-Meier analysis and compared using a Log rank test. Multivariate analysis was performed using a Cox proportional hazards regression model. RESULTS Both individually and collectively, the baseline CA 19-9, CEA and CA 125 levels were positively associated with the primary tumor site (p < 0.01), liver metastasis (p < 0.05), and number of organ metastases (p < 0.05). Furthermore, CA 19-9, CEA and CA 125 were correlated to baseline WBC (p < 0.001) and LDH (p < 0.01) levels. Additionally, CA 19-9 was correlated with years of smoking (p = 0.024); diabetes and years of diabetes (p = 0.012); baseline glycemic levels (p = 0.004); and neutrophil counts (p < 0.001). Moreover, CA 125 levels were associated with the baseline neutrophil counts (p < 0.001) and peritoneal metastasis (p = 0.008). When examining neutrophil, LDH, CA 19-9 and CA 125 levels were found to be associated with overall survival (OS) and shown to be independent prognostic factors. CONCLUSION CA 19-9, CEA and CA 125 are correlated with multiple clinical factors. Baseline neutrophil, LDH, CA 19-9 and CA 125 levels are associated with OS and may potentially serve as prognostic factors.
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Affiliation(s)
- Guo-chao Deng
- School of Medicine, Nankai University, Tianjin300071, People’s Republic of China
- Department of Medical Oncology, The First Medical Center of Chinese People’s Liberation Army (PLA) General Hospital, Beijing, 100853, People’s Republic of China
| | - Huan Yan
- Department of Medical Oncology, The First Medical Center of Chinese People’s Liberation Army (PLA) General Hospital, Beijing, 100853, People’s Republic of China
| | - Zhi-peng Guo
- Department of Medical Oncology, The First Medical Center of Chinese People’s Liberation Army (PLA) General Hospital, Beijing, 100853, People’s Republic of China
| | - Guanghai Dai
- School of Medicine, Nankai University, Tianjin300071, People’s Republic of China
- Department of Medical Oncology, The First Medical Center of Chinese People’s Liberation Army (PLA) General Hospital, Beijing, 100853, People’s Republic of China
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Huang C, Hu C, Zhu J, Zhang W, Huang J, Zhu Z. Establishment of Decision Rules and Risk Assessment Model for Preoperative Prediction of Lymph Node Metastasis in Gastric Cancer. Front Oncol 2020; 10:1638. [PMID: 32984033 PMCID: PMC7492596 DOI: 10.3389/fonc.2020.01638] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 07/27/2020] [Indexed: 12/26/2022] Open
Abstract
Background: Preoperative accurate prediction of lymph node status is especially important for the formulation of treatment plans for patients with gastric cancer (GC). The purpose of this study was to establish decision rules and a risk assessment model for lymph node metastasis (LNM) in GC using preoperative indicators. Methods: The clinical data of 554 patients who underwent gastrectomy with D2 lymphadenectomy were collected. A 1:1 propensity score matching (PSM) system was used, and the clinical data of the matched 466 patients were further analyzed. The important risk factors for LNM were extracted by the random forest algorithm, and decision rules and nomogram models for LNM were constructed with a classification tree and the "rms" package of R software, respectively. Results: Tumor size (OR: 2.058; P = 0.000), computed tomography (CT) findings (OR: 1.969; P = 0.001), grade (OR: 0.479; P = 0.000), hemoglobin (Hb) (OR: 1.211; P = 0.005), CEA (OR: 1.111; P = 0.017), and CA19-9 (OR: 1.040; P = 0.033) were independent risk factors for LNM in GC. Tumor size did rank first in the ranking of important factors for LNM in GC and was the first-level segmentation of the two initial branches of the classification tree. The accuracy, sensitivity, specificity, and positive predictive value of the decision rules in diagnosing preoperative LNM in GC were 75.6, 85.7, 73.9, 73.5, and 79.3%, respectively. The accuracy, sensitivity, and specificity of the risk assessment model in predicting preoperative LNM in GC were 79.3, 80.3, and 79.4%, respectively. Conclusion: Tumor size was the most important factor for evaluating LNM in GC. This decision rules and nomogram model constructed to take into account tumor size, CT findings, grade, hemoglobin, CEA, and CA19-9 effectively predicted the incidence of LNM in preoperative GC.
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Affiliation(s)
- Chao Huang
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Cegui Hu
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Jinfeng Zhu
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Wenjun Zhang
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Jun Huang
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Zhengming Zhu
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China
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The Chicago Consensus on peritoneal surface malignancies: Management of gastric metastases. Cancer 2020; 126:2541-2546. [PMID: 32282074 DOI: 10.1002/cncr.32868] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Revised: 09/09/2019] [Accepted: 09/14/2019] [Indexed: 12/29/2022]
Abstract
The Chicago Consensus Working Group provides multidisciplinary recommendations for the management of gastric cancer specifically as it relates to the management of peritoneal surface malignancy. These guidelines are developed with input from leading experts, including surgical oncologists, medical oncologists, pathologists, radiologists, palliative care physicians, and pharmacists. These guidelines recognize and address the emerging need for increased awareness of the appropriate management of peritoneal surface disease. They are not intended to replace the quest for higher levels of evidence.
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Affiliation(s)
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- Chicago Consensus Working Group, Chicago, Illinois
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The Chicago Consensus on Peritoneal Surface Malignancies: Management of Gastric Metastases. Ann Surg Oncol 2020; 27:1768-1773. [PMID: 32285269 DOI: 10.1245/s10434-020-08320-0] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Indexed: 01/08/2023]
Abstract
The Chicago Consensus Working Group provides multidisciplinary recommendations for the management of gastric cancer specifically as it relates to the management of peritoneal surface malignancy. These guidelines are developed with input from leading experts including surgical oncologists, medical oncologists, pathologists, radiologists, palliative care physicians, and pharmacists. These guidelines recognize and address the emerging need for increased awareness of the appropriate management of peritoneal surface disease. They are not intended to replace the quest for higher levels of evidence.
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Huang C, Liu Z, Xiao L, Xia Y, Huang J, Luo H, Zong Z, Zhu Z. Clinical Significance of Serum CA125, CA19-9, CA72-4, and Fibrinogen-to-Lymphocyte Ratio in Gastric Cancer With Peritoneal Dissemination. Front Oncol 2019; 9:1159. [PMID: 31750248 PMCID: PMC6848261 DOI: 10.3389/fonc.2019.01159] [Citation(s) in RCA: 86] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2019] [Accepted: 10/17/2019] [Indexed: 12/24/2022] Open
Abstract
Background: Relevant serum tumor markers have been indicated to be associated with peritoneal dissemination (PD) of gastric cancer (GC). Fibrinogen has been shown to play an important role in the systemic inflammatory response (SIR) and in tumor progression. However, the clinical significance of the fibrinogen-to-lymphocyte ratio (FLR) in GC with PD has not been studied. Methods: The clinical data of 391 patients with GC were collected, including 86 cases of PD. Then, 1:3 matching was performed by propensity score matching (PSM), and the clinical data of the matched 344 patients were analyzed by univariate and multivariate conditional logistic regression. Classification tree analysis was used to obtain the decision rules and a random forest algorithm to extract the important risk factors of PD in GC. A nomogram model for risk assessment of PD in GC was established by using the rms package of R software. Results: Univariate analysis showed that the factors related to PD in GC were: carbohydrate antigen (CA) 125 (P < 0.0001), CA19-9 (P < 0.0001), CA72-4 (P < 0.0001), FLR (P < 0.0001), neutrophil-to-lymphocyte ratio (NLR) (P < 0.0001), albumin-to- lymphocyte ratio (ALR) (P < 0.0001), platelet-to-lymphocyte ratio (PLR) (P = 0.013), and carcinoembryonic antigen (CEA) (P = 0.031). Conditional logistic regression found that CA125 (OR: 1.046; P < 0.0001), CA19-9 (OR: 1.002; P < 0.0001), and FLR (OR: 1.266; P = 0.024) were independent risk factors for GC with PD. The accuracy, sensitivity, specificity, positive predictive value and negative predictive value of the decision rules for detecting PD of GC were 89.5, 77.4, 94.0, 82.8, and 91.8%, respectively. According to the important variables identified by the classification tree and random forest algorithm, the risk assessment model of PD in GC was established. The accuracy, sensitivity, and specificity of the model were 91, 89.5, and 79.5%, respectively. Conclusion: CA125 > 17.3 U/ml, CA19-9 > 27.315 U/ml, and FLR > 2.555 were the risk factors for GC with PD. The decision rules and nomogram model constructed by CA125, CA19-9, CA72-4, and FLR can correctly predict the risk of PD in GC.
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Affiliation(s)
- Chao Huang
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Zitao Liu
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Li Xiao
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yongqiang Xia
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Jun Huang
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Hongliang Luo
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Zhen Zong
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Zhengming Zhu
- Department of Gastrointestinal Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China
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Prognostic values of normal preoperative serum cancer markers for gastric cancer. Oncotarget 2018; 7:58459-58469. [PMID: 27533455 PMCID: PMC5295443 DOI: 10.18632/oncotarget.11248] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2016] [Accepted: 07/28/2016] [Indexed: 12/22/2022] Open
Abstract
We examined the prognostic value of normal levels of four serum cancer markers, carcinoembryonic antigen (CEA), carbohydrate associated antigen (CA19-9), alpha-fetoprotein (AFP) and cancer antigen 125 (CA125), in gastric cancer patients. Among 1927 gastric cancer patients enrolled in this study, 1477 were male (76.6%) and 450 were female (23.4%). The median age was 57 years (range 20-86). Clinicopathological features and survival times were recorded, and the association between CEA, CA19-9, AFP, and CA125 levels and patient prognosis was analyzed. The optimal cut-off values were 0.71 for CEA (P=0.317), 9.22 for CA19-9 (P=0.009), 3.76 for AFP (P=0.008) and 15.65 for CA125 (P=0.006). Serum CA19-9 levels correlated with gender, age, and tumor depth (all P<0.05); AFP levels correlated with pathological type (P=0.005); and CA125 levels correlated with gender, tumor size, pathological type, tumor depth and lymph node metastasis (all P<0.05). Relatively high levels of CA19-9, AFP and CA125, still within the normal range, were all associated with poor prognosis (5-year overall survival: 70.6% vs 64.2%, P<0.001. 69.6% vs 54.5%, P=0.011. 70.2% vs 54.9%, P<0.001). However, only CA19-9 and AFP levels were independent prognostic predictors. We conclude that the combined assessment of CA19-9, AFP and CA125 levels could have prognostic value in gastric cancer (P<0.001).
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Computed tomographic characteristics for patients with unresectable gastric cancer harboring low-volume peritoneal carcinomatosis. Med Oncol 2017; 34:143. [PMID: 28726044 DOI: 10.1007/s12032-017-1004-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2017] [Accepted: 07/14/2017] [Indexed: 01/06/2023]
Abstract
Although current staging workups could differentiate most patients with operable from inoperable advanced gastric cancers, there are still some patients with low-volume peritoneal carcinomatosis, defined as only metastasis with multiple subcentimeter lesions in peritoneum, receiving unnecessary open-close procedures. The computed tomography (CT) of the patients with unresectable advanced gastric cancer harboring low-volume peritoneal carcinomatosis was retrospectively identified and then thoroughly reviewed by two independent radiologists unaware of the peritoneal carcinomatosis status. Of the 798 patients with newly diagnosed gastric cancer between January 2007 and December 2010, 52 patients harboring advanced gastric cancer with low-volume peritoneal carcinomatosis receiving surgery with curative intent were identified. Descriptive statistic was used for the radiologic characteristics. The most common radiologic characteristic of CT was omental fat stranding (57.7%), followed by omental clustered subcentimeter nodules (53.8%), distant enlarged lymph node (40.4%), distant grouping of small lymph nodes (36.5%), peritoneal nodules or thickening (34.6%), minimal loculated ascites (21.2%), intestinal wall thickening or irregularity (9.6%), and hydronephrosis or hydroureter without stone or urothelial lesion (5.8%). Comprehensively reviewing the radiologic characteristics of CT may identify the patients harboring advanced gastric cancer with low-volume peritoneal carcinomatosis.
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Diagnostic staging laparoscopy in gastric cancer: a prospective cohort at a cancer institute in Japan. Surg Endosc 2017; 32:268-275. [PMID: 28664424 DOI: 10.1007/s00464-017-5673-z] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2017] [Accepted: 06/16/2017] [Indexed: 02/07/2023]
Abstract
BACKGROUND There have been many studies that describe the value of diagnostic staging laparoscopy (DSL) in gastric cancer. However, different studies use different indications, making study results difficult to compare. This study aimed to clarify the diagnostic feasibility of DSL for gastric cancer in a prospective manner and investigated the impact of DSL on clinical decision-making in gastric cancer treatment. METHODS The study was a prospective cohort study based at a single institution between January 2010 and December 2013. We treated 2213 patients with potentially resectable gastric cancer during this period. DSL was primarily indicated for asymptomatic patients with: (1) large Borrmann type 3 tumours ≥8 cm, (2) Borrmann type 4 tumours (linitis plastica), (3) bulky lymph nodes or paraaortic lymph node swelling, or (4) clinical suspicion of peritoneal disease. The primary outcome is change in treatment strategy, and the secondary outcomes are diagnostic accuracy of the indications and false negative rate of DSL. RESULTS DSL was performed on 156 (7%) of 2213 patients. Of these, peritoneal disease was found in 74 (47%) patients: (1) 56% for large type 3, (2) 54% for type 4, (3) 21% for bulky lymph nodes or paraaortic lymph node swelling, and (4) 20% for suspected peritoneal disease. The diagnostic accuracy of our indication for DSL was 92% for all patients and 74% for patients with cT3/T4 tumours. Among 82 patients without peritoneal disease, 66 patients (81%) underwent subsequent radical gastrectomy; peritoneal disease was discovered intraoperatively for 7 patients at laparotomy, indicating a false negative rate of 11%. CONCLUSION We confirmed that DSL performed according to our indication, in the context of gastric cancer, possesses diagnostic feasibility. Approximately half of the patients who underwent DSL consequently avoided unnecessary laparotomy and were able to receive appropriate alternative treatment.
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Shi HJ, Jin C, Fu DL. Preoperative evaluation of pancreatic ductal adenocarcinoma with synchronous liver metastasis: Diagnosis and assessment of unresectability. World J Gastroenterol 2016; 22:10024-10037. [PMID: 28018110 PMCID: PMC5143749 DOI: 10.3748/wjg.v22.i45.10024] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2016] [Revised: 09/09/2016] [Accepted: 10/19/2016] [Indexed: 02/06/2023] Open
Abstract
AIM To identify predictors for synchronous liver metastasis from resectable pancreatic ductal adenocarcinoma (PDAC) and assess unresectability of synchronous liver metastasis.
METHODS Retrospective records of PDAC patients with synchronous liver metastasis who underwent simultaneous resections of primary PDAC and synchronous liver metastasis, or palliative surgical bypass, were collected from 2007 to 2015. A series of pre-operative clinical parameters, including tumor markers and inflammation-based indices, were analyzed by logistic regression to figure out predictive factors and assess unresectability of synchronous liver metastasis. Cox regression was used to identify prognostic factors in liver-metastasized PDAC patients after surgery, with intention to validate their conformance to the indications of simultaneous resections and palliative surgical bypass. Survival of patients from different groups were analyzed by the Kaplan-Meier method. Intra- and post-operative courses were compared, including complications. PDAC patients with no distant metastases who underwent curative resection served as the control group.
RESULTS CA125 > 38 U/mL (OR = 12.397, 95%CI: 5.468-28.105, P < 0.001) and diabetes mellitus (OR = 3.343, 95%CI: 1.539-7.262, P = 0.002) independently predicted synchronous liver metastasis from resectable PDAC. CA125 > 62 U/mL (OR = 5.181, 95%CI: 1.612-16.665, P = 0.006) and age > 62 years (OR = 3.921, 95%CI: 1.217-12.632, P = 0.022) correlated with unresectability of synchronous liver metastasis, both of which also indicated a worse long-term outcome of liver-metastasized PDAC patients after surgery. After the simultaneous resections, patients with post-operatively elevated serum CA125 levels had shorter survival than those with post-operatively reduced serum CA125 levels (7.7 mo vs 16.3 mo, P = 0.013). The survival of liver-metastasized PDAC patients who underwent the simultaneous resections was similar to that of non-metastasized PDAC patients who underwent curative pancreatectomy alone (7.0 mo vs 16.9 mo, P < 0.001), with no higher rates of either pancreatic fistula (P = 0.072) or other complications (P = 0.230) and no greater impacts on length of hospital stay (P = 0.602) or post-operative diabetic control (P = 0.479).
CONCLUSION The criterion set up by CA125 levels could facilitate careful diagnosis of synchronous liver metastases from PDAC, and prudent selection of appropriate patients for the simultaneous resections.
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Tustumi F, Bernardo WM, Roncon Dias A, Kodama Pertille Ramos MF, Cecconello I, Zilberstein B, Ribeiro-Júnior U. Detection value of free cancer cells in peritoneal washing in gastric cancer: a systematic review and meta-analysis. Clinics (Sao Paulo) 2016; 71:733-745. [PMID: 28076519 PMCID: PMC5175297 DOI: 10.6061/clinics/2016(12)10] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2016] [Accepted: 09/09/2016] [Indexed: 02/05/2023] Open
Abstract
Intraperitoneal free cancer cells in gastric adenocarcinoma are associated with a poor outcome. However, the true prognostic value of intraperitoneal free cancer cells is still unclear, leading to a lack of consensus in the management of gastric cancer. The aim of the present study is to perform a systematic review and meta-analysis to analyze intraperitoneal free cancer cells-positive patients with regard to tumor oncologic stage, recurrence, grade of cellular differentiation, and survival rates and to analyze the clinical significance of intraperitoneal free cancer cells with regard to prognosis. Databases were searched up to January 2016 for prognostic factors associated with intraperitoneal free cancer cells, including oncologic stage, depth of neoplasm invasion, lymph nodal spread, differentiation grade of the tumor, and recurrence and survival rates. A total of 100 studies were identified. Meta-analysis revealed a clear association between intraperitoneal free cancer cells and a poor prognosis. intraperitoneal free cancer cells -positive patients had higher rates of nodal spread (risk difference: 0.29; p<0.01), serosal invasion (risk difference: 0.43; p<0.01), recurrence (after 60 months of follow-up, risk difference: 0.44; p<0.01), and mortality (after 60 months of follow-up, risk difference: 0.34; p<0.01). Intraperitoneal free cancer cells are associated with a poor outcome in gastric cancer. This surrogate biomarker should be used to guide therapy both prior to and after surgery.
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Affiliation(s)
- Francisco Tustumi
- Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo/SP, Brazil
- E-mail:
| | | | - Andre Roncon Dias
- Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo/SP, Brazil
| | | | - Ivan Cecconello
- Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo/SP, Brazil
| | - Bruno Zilberstein
- Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo/SP, Brazil
| | - Ulysses Ribeiro-Júnior
- Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo/SP, Brazil
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Sluiter N, de Cuba E, Kwakman R, Kazemier G, Meijer G, Te Velde EA. Adhesion molecules in peritoneal dissemination: function, prognostic relevance and therapeutic options. Clin Exp Metastasis 2016; 33:401-16. [PMID: 27074785 PMCID: PMC4884568 DOI: 10.1007/s10585-016-9791-0] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2015] [Accepted: 04/07/2016] [Indexed: 12/14/2022]
Abstract
Peritoneal dissemination is diagnosed in 10–25 % of colorectal cancer patients. Selected patients are treated with cytoreductive surgery and hyperthermic intraperitoneal chemotherapy. For these patients, earlier diagnosis, optimised selection criteria and a personalised approach are warranted. Biomarkers could play a crucial role here. However, little is known about possible candidates. Considering tumour cell adhesion as a key step in peritoneal dissemination, we aim to provide an overview of the functional importance of adhesion molecules in peritoneal dissemination and discuss the prognostic, diagnostic and therapeutic options of these candidate biomarkers. A systematic literature search was conducted according to the PRISMA guidelines. In 132 in vitro, ex vivo and in vivo studies published between 1995 and 2013, we identified twelve possibly relevant adhesion molecules in various cancers that disseminate peritoneally. The most studied molecules in tumour cell adhesion are integrin α2β1, CD44 s and MUC16. Furthermore, L1CAM, EpCAM, MUC1, sLex and Lex, chemokine receptors, Betaig-H3 and uPAR might be of clinical importance. ICAM1 was found to be less relevant in tumour cell adhesion in the context of peritoneal metastases. Based on currently available data, sLea and MUC16 are the most promising prognostic biomarkers for colorectal peritoneal metastases that may help improve patient selection. Different adhesion molecules appear expressed in haematogenous and transcoelomic spread, indicating two different attachment processes. However, our extensive assessment of available literature reveals that knowledge on metastasis-specific genes and their possible candidates is far from complete.
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Affiliation(s)
- Nina Sluiter
- Department of Surgery, VU University Medical Centre, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Erienne de Cuba
- Department of Surgery, VU University Medical Centre, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.,Department of Pathology, VU University Medical Centre, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Riom Kwakman
- Department of Surgery, VU University Medical Centre, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Geert Kazemier
- Department of Surgery, VU University Medical Centre, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Gerrit Meijer
- Department of Pathology, VU University Medical Centre, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.,Department of Pathology, Antoni van Leeuwenhoek Hospital (NKI-AVL), Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands
| | - Elisabeth Atie Te Velde
- Department of Surgery, VU University Medical Centre, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands. .,Department of Surgical Oncology, VU University Medical Centre, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands.
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Hu YF, Deng ZW, Liu H, Mou TY, Chen T, Lu X, Wang D, Yu J, Li GX. Staging laparoscopy improves treatment decision-making for advanced gastric cancer. World J Gastroenterol 2016; 22:1859-1868. [PMID: 26855545 PMCID: PMC4724617 DOI: 10.3748/wjg.v22.i5.1859] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2015] [Revised: 10/19/2015] [Accepted: 11/24/2015] [Indexed: 02/06/2023] Open
Abstract
AIM: To evaluate the clinical value of staging laparoscopy in treatment decision-making for advanced gastric cancer (GC).
METHODS: Clinical data of 582 patients with advanced GC were retrospectively analyzed. All patients underwent staging laparoscopy. The strength of agreement between computed tomography (CT) stage, endoscopic ultrasound (EUS) stage, laparoscopic stage, and final stage were determined by weighted Kappa statistic (Kw). The number of patients with treatment decision-changes was counted. A χ2 test was used to analyze the correlation between peritoneal metastasis or positive cytology and clinical characteristics.
RESULTS: Among the 582 patients, the distributions of pathological T classifications were T2/3 (153, 26.3%), T4a (262, 45.0%), and T4b (167, 28.7%). Treatment plans for 211 (36.3%) patients were changed after staging laparoscopy was performed. Two (10.5%) of 19 patients in M1 regained the opportunity for potential radical resection by staging laparoscopy. Unnecessary laparotomy was avoided in 71 (12.2%) patients. The strength of agreement between preoperative T stage and final T stage was in almost perfect agreement (Kw = 0.838; 95% confidence interval (CI): 0.803-0.872; P < 0.05) for staging laparoscopy; compared with CT and EUS, which was in fair agreement. The strength of agreement between preoperative M stage and final M stage was in almost perfect agreement (Kw = 0.990; 95% CI: 0.977-1.000; P < 0.05) for staging laparoscopy; compared with CT, which was in slight agreement. Multivariate analysis revealed that tumor size (≥ 40 mm), depth of tumor invasion (T4b), and Borrmann type (III or IV) were significantly correlated with either peritoneal metastasis or positive cytology. The best performance in diagnosing P-positive was obtained when two or three risk factors existed.
CONCLUSION: Staging laparoscopy can improve treatment decision-making for advanced GC and decrease unnecessary exploratory laparotomy.
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Li Z, Ji J. Application of laparoscopy in the diagnosis and treatment of gastric cancer. ANNALS OF TRANSLATIONAL MEDICINE 2015. [PMID: 26207254 DOI: 10.3978/j.issn.2305-5839.2015.03.29] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Affiliation(s)
- Ziyu Li
- Department of Gastrointestinal Surgery, Peking University Cancer Hospital & Institute, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Beijing 100142, China
| | - Jiafu Ji
- Department of Gastrointestinal Surgery, Peking University Cancer Hospital & Institute, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Beijing 100142, China
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