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Meng F, Yang Y, Wang X, Cai F, Liang H, Zhang R, Deng J. Imaging lymph node regression can predict the pathological tumor regression grade in gastric cancer after neoadjuvant treatment. Surgery 2023; 174:836-843. [PMID: 37562986 DOI: 10.1016/j.surg.2023.07.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Revised: 05/24/2023] [Accepted: 07/08/2023] [Indexed: 08/12/2023]
Abstract
BACKGROUND Neoadjuvant chemotherapy has become the standard treatment for locally advanced gastric cancer. The tumor regression grade system is an effective and widely used tool for the evaluation of treatment response to neoadjuvant chemotherapy. However, whether tumor regression grade could be predicted using clinical characteristics is uncertain. METHODS A total of 287 locally advanced gastric cancer patients from 2014 to 2021 were retrospectively included. According to the College of American Pathologists' tumor regression grade system, patients were classified into response group (tumor regression grade 0-1) and non-response group (tumor regression grade 2-3). Associations between clinical characteristics and neoadjuvant chemotherapy response were performed by the logistic regression model. The Kaplan-Meier method was used to estimate the survival. A prediction scoring system was constructed based on the β coefficients of multivariate analysis. The receiver operating characteristic curve and decision curve analysis were used to evaluate the performance of the predictive scoring system. RESULTS Survival analysis showed that patients with tumor regression grades 0 to 1 had significantly better disease-free survival and overall survival than the tumor regression grades 2 to 3. Tumor differentiation, ycT stage, immunotherapy, and lymph node regression were independent predictors of pathological response to neoadjuvant chemotherapy. We further developed a scoring system to predict the tumor regression grade. The receiver operating characteristic and decision curve analysis showed good predictive performance of the scoring system. CONCLUSION Lymph node regression could be used as a predictor for pathological response. We developed a scoring system to predict the treatment response of patients with gastric cancer receiving neoadjuvant chemotherapy. The scoring system based on the predictors could provide guidance for making clinical decisions.
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Affiliation(s)
- Feiyu Meng
- Department of Gastric Surgery, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, P. R. China
| | - Yang Yang
- Department of Anesthesiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, P. R. China
| | - Xinyu Wang
- Department of Gastric Surgery, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, P. R. China
| | - Fenglin Cai
- Department of Gastric Surgery, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, P. R. China
| | - Han Liang
- Department of Gastric Surgery, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, P. R. China
| | - Rupeng Zhang
- Department of Gastric Surgery, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, P. R. China
| | - Jingyu Deng
- Department of Gastric Surgery, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, P. R. China.
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Zhou Z, Ren Y, Zhang Z, Guan T, Wang Z, Chen W, Luo T, Li G. Digital histopathological images of biopsy predict response to neoadjuvant chemotherapy for locally advanced gastric cancer. Gastric Cancer 2023; 26:734-742. [PMID: 37322381 DOI: 10.1007/s10120-023-01407-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Accepted: 06/04/2023] [Indexed: 06/17/2023]
Abstract
BACKGROUND Neoadjuvant chemotherapy (NAC) has been recognized as an effective therapeutic option for locally advanced gastric cancer as it is expected to reduce tumor size, increase the resection rate, and improve overall survival. However, for patients who are not responsive to NAC, the best operation timing may be missed together with suffering from side effects. Therefore, it is paramount to differentiate potential respondents from non-respondents. Histopathological images contain rich and complex data that can be exploited to study cancers. We assessed the ability of a novel deep learning (DL)-based biomarker to predict pathological responses from images of hematoxylin and eosin (H&E)-stained tissue. METHODS In this multicentre observational study, H&E-stained biopsy sections of patients with gastric cancer were collected from four hospitals. All patients underwent NAC followed by gastrectomy. The Becker tumor regression grading (TRG) system was used to evaluate the pathologic chemotherapy response. Based on H&E-stained slides of biopsies, DL methods (Inception-V3, Xception, EfficientNet-B5, and ensemble CRSNet models) were employed to predict the pathological response by scoring the tumor tissue to obtain a histopathological biomarker, the chemotherapy response score (CRS). The predictive performance of the CRSNet was evaluated. RESULTS 69,564 patches from 230 whole-slide images of 213 patients with gastric cancer were obtained in this study. Based on the F1 score and area under the curve (AUC), an optimal model was finally chosen, named the CRSNet model. Using the ensemble CRSNet model, the response score derived from H&E staining images reached an AUC of 0.936 in the internal test cohort and 0.923 in the external validation cohort for predicting pathological response. The CRS of major responders was significantly higher than that of minor responders in both internal and external test cohorts (both p < 0.001). CONCLUSION In this study, the proposed DL-based biomarker (CRSNet model) derived from histopathological images of the biopsy showed potential as a clinical aid for predicting the response to NAC in patients with locally advanced GC. Therefore, the CRSNet model provides a novel tool for the individualized management of locally advanced gastric cancer.
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Affiliation(s)
- Zhihao Zhou
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Sun Yat-sen University, Zhongshan 2nd Street, No. 58, Guangzhou, 510080, Guangdong, China
| | - Yong Ren
- Guangdong Artificial Intelligence and Digital Economy Laboratory (Guangzhou), Pazhou Lab, No.70 Yuean Road, Haizhu District, Guangzhou, Guangdong, China
| | - Zhimei Zhang
- Department of Pathology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Tianpei Guan
- Department of Gastrointestinal Surgery, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Zhixiong Wang
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Sun Yat-sen University, Zhongshan 2nd Street, No. 58, Guangzhou, 510080, Guangdong, China
| | - Wei Chen
- Department of Pathology, Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Tedong Luo
- Department of Gastrointestinal Surgery, First People's Hospital of Foshan, Foshan, Guangdong, China
| | - Guanghua Li
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Sun Yat-sen University, Zhongshan 2nd Street, No. 58, Guangzhou, 510080, Guangdong, China.
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Wang G, Tan Y, Jiang Y, Liu J, Su Y, Sun Z, Liu B. Prognostic Model of D2 Radical Gastrectomy Combined with Neoadjuvant Chemotherapy for Gastric Cancer. Risk Manag Healthc Policy 2023; 16:1259-1271. [PMID: 37456825 PMCID: PMC10348377 DOI: 10.2147/rmhp.s413052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Accepted: 06/21/2023] [Indexed: 07/18/2023] Open
Abstract
Purpose The AJCC (the American Joint Committee on Cancer) ypTNM (post-neoadjuvant pathologic stage group) staging was established based on patients with lymphadenectomy scope less than D2 and did not include ypT0N0 patients with pathologically complete response (PCR). The purpose of this study was to construct a survival predictive model for gastric cancer patients after neoadjuvant chemotherapy and gastrectomy combined with D2 lymphadenectomy. Patients and Methods The multicenter data of 838 gastric cancer patients who received neoadjuvant chemotherapy and gastrectomy combined with D2 lymphadenectomy were analyzed retrospectively. These dual center patients were divided into training (n = 671, the Affiliated Hospital of Qingdao University) and validation (n = 167, Qingdao West Coast New Area Central Hospital) cohorts. Based on training cohort, univariate and multivariable COX regression analyses were performed to select the clinicopathological characteristics significantly correlating with overall survival and construct a nomogram. Based on training and validation cohorts, the distinguishing and calibrating capabilities of nomogram was evaluated by the receiver operating characteristic (ROC) curve, Harrell's concordance index (C-index), decision curve analysis (DCA) curve and calibration curve. Results Platelet-to-lymphocyte ratio (PLR), pathologic stage after neoadjuvant treatment: ypT and ypN stage, tumor regression grade (TRG) became independent variables intimately related to the prognosis and was used to construct nomograms of 3/5-year prognosis. The nomograms showed an accuracy in predicting OS (overall survival) rate, with area under the ROC curve (AUC) of 0.818 (95% CI = 0.753~0.883) and C-index of 0.801 (95% CI = 0.744~0.858) in validation cohort. Calibration curves showed satisfactory agreement between nomogram prediction and actual result, and DCA curves indicated the large positive net benefit and excellent clinical usefulness of nomogram. Conclusion This study successfully developed a nomogram to predict overall survival of gastric cancer patients after neoadjuvant chemotherapy and gastrectomy combined with D2 lymphadenectomy, which might have excellent predictive performance and clinical application value.
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Affiliation(s)
- Guangjun Wang
- Department of General Surgery, Qingdao West Coast New Area Central Hospital, Qingdao, Shandong, People’s Republic of China
| | - Yinghua Tan
- Department of Paediatrics, Qingdao West Coast New Area Central Hospital, Qingdao, Shandong, People’s Republic of China
| | - Yongjie Jiang
- Department of General Surgery, Qingdao West Coast New Area Central Hospital, Qingdao, Shandong, People’s Republic of China
| | - Jia Liu
- Department of General Surgery, Qingdao West Coast New Area Central Hospital, Qingdao, Shandong, People’s Republic of China
| | - Yuanhui Su
- Department of General Surgery, Lanzhou University Second Hospital, Lanzhou, Gansu, People’s Republic of China
| | - Zhengang Sun
- Department of Spine Surgery, Qingdao West Coast New Area Central Hospital, Qingdao, Shandong, People’s Republic of China
| | - Bo Liu
- Department of General Surgery, Lanzhou University Second Hospital, Lanzhou, Gansu, People’s Republic of China
- Department of Gastrointestinal Surgery, the Affiliated Hospital of Qingdao University, Qingdao, Shandong, People’s Republic of China
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Wang X, Jiang K, Hu Y, Zhao X, Yin L, Diao X, Ma X, Xu Y, Bai Y, Zhang Y, Li Z, Sun Y. An exploration of gastric cancer with heterogeneous mismatch repair status. Virchows Arch 2023; 482:517-523. [PMID: 36754896 DOI: 10.1007/s00428-023-03506-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 01/27/2023] [Accepted: 01/30/2023] [Indexed: 02/10/2023]
Abstract
Survival benefits or symptom alleviation from immune checkpoint blockade therapy can be seen in microsatellite instability-high (MSI-H) cases. However, genetic heterogeneity within a specific subgroup of MSI-H tumors may be associated with poor response and prognosis. We investigated the molecular changes and microsatellite status of the cases with heterogeneous MMR protein staining by polymerase chain reaction (PCR) and next-generation sequencing (NGS). Data from 3723 patients with gastric cancer were retrospectively analyzed to determine the mismatch repair (MMR) status by performing immunohistochemical staining of four major MMR proteins (MLH1, PMS2, MSH2, and MSH6). When heterogeneous MMR protein staining result was positive, PCR and NGS were performed. Heterogeneous MMR protein staining was observed in 12 cases. In microsatellite stable (MSS) cases, TP53 mutation appeared to accompany heterogeneous staining (HS) of MLH1. However, TP53 variation was not observed with MSI-H occurrence. Cases showing heterogeneous MSH6 protein staining revealed MSH6 mutations. Some cases with the same MMR protein staining set had varying MSI results. In one case whose primary and metastatic foci presented MLH1-HS and PMS2-HS, the microsatellite status was classified as MSS and MSI-H, respectively. Moreover, HS was also found in multiple biopsies and surgical specimens. This study found a preliminary relationship between heterogeneously stained MSH6 or MLH1 proteins and their gene mutations, as well as between MSI-H/TP53 - and MSS/TP53 + tumors. The microsatellite status of patients with heterogeneous MMR protein staining is unpredictable. Given the heterogeneity of mismatch repair, microsatellite status should be assessed for all specimens if sufficient specimens can be obtained.
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Affiliation(s)
- Xinyu Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Pathology, Peking University Cancer Hospital and Institute, Haidian District, 52 Fucheng Road, 100142, Beijing, China
- Department of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kang Jiang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Pathology, Peking University Cancer Hospital and Institute, Haidian District, 52 Fucheng Road, 100142, Beijing, China
| | - Yajie Hu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Pathology, Peking University Cancer Hospital and Institute, Haidian District, 52 Fucheng Road, 100142, Beijing, China
| | - Xinya Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Pathology, Peking University Cancer Hospital and Institute, Haidian District, 52 Fucheng Road, 100142, Beijing, China
| | - Lisha Yin
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Pathology, Peking University Cancer Hospital and Institute, Haidian District, 52 Fucheng Road, 100142, Beijing, China
| | - Xinting Diao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Pathology, Peking University Cancer Hospital and Institute, Haidian District, 52 Fucheng Road, 100142, Beijing, China
| | - Xiuli Ma
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Pathology, Peking University Cancer Hospital and Institute, Haidian District, 52 Fucheng Road, 100142, Beijing, China
| | - Yu Xu
- Medical Affairs, 3D Medicines Inc., Shanghai, China
| | - Yuezong Bai
- Medical Affairs, 3D Medicines Inc., Shanghai, China
| | - Yan Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Gastrointestinal Cancer Center, Peking University Cancer Hospital and Institute, Haidian District, 52 Fucheng Road, 100142, Beijing, China
| | - Ziyu Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Gastrointestinal Cancer Center, Peking University Cancer Hospital and Institute, Haidian District, 52 Fucheng Road, 100142, Beijing, China.
| | - Yu Sun
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Pathology, Peking University Cancer Hospital and Institute, Haidian District, 52 Fucheng Road, 100142, Beijing, China.
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MACHADO MCDA, BARBOSA JPCDVL, de OLIVEIRA FF, BARBOSA JAL. MORBIDITY AND SURVIVAL AFTER PERIOPERATIVE CHEMOTHERAPY IN GASTRIC CANCER: A STUDY USING THE BECKER'S CLASSIFICATION AND REGRESSION. ARQUIVOS BRASILEIROS DE CIRURGIA DIGESTIVA : ABCD = BRAZILIAN ARCHIVES OF DIGESTIVE SURGERY 2023; 35:e1704. [PMID: 36629685 PMCID: PMC9831635 DOI: 10.1590/0102-672020220002e1704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Accepted: 07/29/2022] [Indexed: 01/11/2023]
Abstract
BACKGROUND Gastric cancer is an aggressive neoplasm with a poor prognosis. The multimodal approach with perioperative chemotherapy is currently the recommended treatment for patients with locally advanced gastric cancer. This treatment induces a histopathological response expressed either through the degree of regression of the primary tumor or of the lymph nodes or through yTNM staging. Despite its advantages, there are still doubts regarding the effects of chemotherapy on postoperative morbidity and mortality. AIMS This study aims to evaluate the impact of perioperative chemotherapy and its effect on anatomopathological results and postoperative morbidity and on patient survival. METHODS This is an observational retrospective study on 134 patients with advanced gastric cancer who underwent perioperative chemotherapy and curative radical surgery. The degree of histological regression of the primary tumor was evaluated according to Becker's criteria; the proportion of regressed lymph nodes was determined, and postoperative complications were evaluated according to the Clavien-Dindo classification. Survival times were compared between the groups using Kaplan-Meier curves and the Mantel-Cox log-rank test. RESULTS In all, 22.3% of the patients were classified as good responders and 75.9% as poor responders. This variable was not correlated with operative morbidity (p=1.68); 64.2% of patients had invaded lymph nodes and 46.3% had regressed lymph nodes; and 49.4% had no lymphatic invasion and 61.9% had no signs of venous invasion. Postoperative complications occurred in 30.6% of the patients. The group of good responders had an average survival of 56.0 months and the group of poor responders had 34.0 months (p=0.17). CONCLUSION Perioperative chemotherapy induces regression in both the primary tumor and lymph nodes. The results of the operative morbidity were similar to those described in the literature. However, although the group of good responders showed better survival, this value was not significant. Therefore, further studies are needed to evaluate the importance of the degree of lymph node regression and its impact on the survival of these patients.
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Affiliation(s)
| | | | | | - José Adelino Lobarinhas BARBOSA
- Universidade do Porto, Faculty of Medicine, Department of Surgery and Physiology – Porto, Portugal;,São João University Hospital, Department of General Surgery – Porto, Portugal
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He Y, Qi X, Luo X, Wang W, Yang H, Xu M, Wu X, Fan W. The clinical value of dual-energy CT imaging in preoperative evaluation of pathological types of gastric cancer. Technol Health Care 2023; 31:1799-1808. [PMID: 36970925 DOI: 10.3233/thc-220664] [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] [Indexed: 04/25/2023]
Abstract
BACKGROUND Gastric cancer (GC) is the fifth most common cancer worldwide and the third leading cause of cancer death. Due to the low rate of early diagnosis, most patients are already in the advanced stage and lose the chance of radical surgery. OBJECTIVE To investigate the clinical value of computed tomography (CT) dual-energy imaging in preoperative evaluation of pathological types of gastric cancer patients. METHODS 121 patients with gastric cancer were selected. Dual-energy CT imaging was performed on the patients. The CT values of virtual noncontrast (VNC) images and iodine concentration of the lesion were measured, and the standardized iodine concentration ratio was calculated. The iodine concentration, iodine concentration ratio and CT values of VNC images of different pathological types were analyzed and compared. RESULTS The iodine concentration and iodine concentration ratio of gastric mucinous carcinoma patients in venous phase and parenchymal phase were lower than those of gastric non-mucinous carcinoma patients, and the differences were statistically significant (P< 0.05). The iodine concentration and iodine concentration ratio of patients with mucinous adenocarcinoma in venous phase and parenchymal phase were lower than those of patients with choriocarcinoma, and the differences were statistically significant (P< 0.05). The iodine concentration and iodine concentration ratio of middle and high differentiated adenocarcinoma patients in venous phase and parenchymal phase were lower than those of low differentiated adenocarcinoma patients, and the differences were statistically significant (P< 0.05). However, there was no significant difference in CT values of VNC images among venous, arterial, and parenchymal phases in all pathological types of gastric cancer patients (P> 0.05). CONCLUSION Dual-energy CT imaging plays an important role in the preoperative evaluation of patients with gastric cancer. The pathological types of gastric cancer are different, and the iodine concentration will change accordingly. Dual-energy CT imaging can effectively evaluate the pathological types of gastric cancer and has high clinical application value.
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Affiliation(s)
- Yongsheng He
- Department of Radiology, Maanshan People's Hospital, Maanshan, Anhui, China
- Department of Radiology, Maanshan People's Hospital, Maanshan, Anhui, China
| | - Xuan Qi
- Department of Radiology, Maanshan People's Hospital, Maanshan, Anhui, China
- Department of Radiology, Maanshan People's Hospital, Maanshan, Anhui, China
| | - Xiao Luo
- Department of Radiology, Maanshan People's Hospital, Maanshan, Anhui, China
| | - Wuling Wang
- Department of Radiology, Maanshan People's Hospital, Maanshan, Anhui, China
| | - Hongkai Yang
- Department of Radiology, Maanshan People's Hospital, Maanshan, Anhui, China
| | - Min Xu
- Department of Radiology, Maanshan People's Hospital, Maanshan, Anhui, China
| | - Xuanyuan Wu
- Department of Radiology, Maanshan People's Hospital, Maanshan, Anhui, China
| | - Wenjie Fan
- School of Graduate, Wannan Medical College, Wuhu, Anhui, China
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Bu Z, Jiang Y, Luo S, He X, Qin H, Tang W. Weight Loss During Neoadjuvant Therapy Is Associated With Poor Response Among the Patients With Gastrointestinal Cancer: A Propensity Score Matching Analysis. Cancer Control 2023; 30:10732748231164016. [PMID: 37071968 PMCID: PMC10126799 DOI: 10.1177/10732748231164016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/20/2023] Open
Abstract
PURPOSE The aim of the current study was to identify the relationship between body composition changes during neoadjuvant therapy (NAT) and the treatment efficiency of NAT in gastrointestinal cancer (GC) patients. METHODS From January 2015 to July 2020, 277 GC patients treated with NAT had included for retrospective analysis. The body mass index (BMI) and computed tomography (CT) imaging before and after NAT were recorded. The BMI change optimal cut-off value were calculated by ROC curve. Balancing essential characteristic variables using propensity score matching (PSM) method. Exploring the association between BMI changes and tumor response to NAT using logistic regression analysis. The survival outcome of matched patients between different BMI change groups was compared. RESULTS A cutoff point of BMI change >2% during NAT was defined as BMI loss. Among the 277 patients, 110 (39.7%) patients showed BMI change with a loss after NAT. In total, 71 pairs of patients were selected for further analysis. The median follow-up time was 22 months (range 3 to 63 months). Univariate and multivariate logistic regression analyses in matched cohort showed that BMI change was a prognostic factor for tumor response after NAT in GC patients (odds ratio (OR), .471; 95% confidence interval (CI), .233-.953; P = .036). In addition, patients who experienced BMI loss after NAT showed worse overall survival than those who had BMI gain or stable. CONCLUSION BMI loss during NAT probably may has negative effects on NAT efficiency and survival for gastrointestinal cancer patients. It is necessary to monitor and maintain weight for patients during treatment.
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Affiliation(s)
- Zhaoting Bu
- Division of Colorectal and Anal Surgery, Department of Gastrointestinal Surgery, Guangxi Medical University Cancer Hospital, Nanning, The People's Republic of China
- Guangxi Clinical Research Center for Colorectal Cancer, Nanning, The People's Republic of China
| | - Yuting Jiang
- Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, The People's Republic of China
| | - Shanshan Luo
- Division of Colorectal and Anal Surgery, Department of Gastrointestinal Surgery, Guangxi Medical University Cancer Hospital, Nanning, The People's Republic of China
- Guangxi Clinical Research Center for Colorectal Cancer, Nanning, The People's Republic of China
| | - Xinxin He
- Division of Colorectal and Anal Surgery, Department of Gastrointestinal Surgery, Guangxi Medical University Cancer Hospital, Nanning, The People's Republic of China
- Guangxi Clinical Research Center for Colorectal Cancer, Nanning, The People's Republic of China
| | - Haiquan Qin
- Division of Colorectal and Anal Surgery, Department of Gastrointestinal Surgery, Guangxi Medical University Cancer Hospital, Nanning, The People's Republic of China
- Guangxi Clinical Research Center for Colorectal Cancer, Nanning, The People's Republic of China
| | - Weizhong Tang
- Division of Colorectal and Anal Surgery, Department of Gastrointestinal Surgery, Guangxi Medical University Cancer Hospital, Nanning, The People's Republic of China
- Guangxi Clinical Research Center for Colorectal Cancer, Nanning, The People's Republic of China
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Luo Y, Liu L, Liu D, Shen H, Wang X, Fan C, Zeng Z, Zhang J, Tan Y, Zhang X, Wu J, Zhang J. Extracellular volume fraction determined by equilibrium contrast-enhanced CT for the prediction of the pathological complete response to neoadjuvant chemoradiotherapy for locally advanced rectal cancer. Eur Radiol 2022; 33:4042-4051. [PMID: 36462046 DOI: 10.1007/s00330-022-09307-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 10/31/2022] [Accepted: 11/21/2022] [Indexed: 12/04/2022]
Abstract
OBJECTIVES To determine the extracellular volume (ECV) fraction derived from equilibrium contrast-enhanced CT for predicting pathological complete response (pCR) after neoadjuvant chemoradiotherapy (NCRT) in locally advanced rectal cancer (LARC). METHODS The ECV fraction before NCRT (ECVpre) and/or ECV after NCRT (ECVpost) of rectal tumors was assessed, and ECVΔ was calculated as ECVpost - ECVpre. The histopathologic tumor regression grading (TRG) was assessed. pCR (TRG 0 grade) was defined as the absence of viable tumor cells in the primary tumor and lymph nodes. Demographic and clinicopathological characteristics and ECV fraction were compared between the pCR and non-pCR groups. A mixed model was constructed by logistic regression. The performance for predicting pCR was assessed with the area under the receiver-operator curve (AUC). The AUCs of the different methods were compared by the method proposed by DeLong et al. RESULTS: Seventy-five patients were included; 17 achieved pCR, and 58 achieved non-pCR. The ECVpost (17.05 ± 2.36% vs. 29.94 ± 1.20%; p < 0.001) and ECVΔ (- 17.01 ± 3.01% vs. 0.44 ± 1.45%; p < 0.001) values in the pCR group were significantly lower than those in the non-pCR group. The mixed model that combined ECVpost with ECVΔ achieved an AUC of 0.92 (95% confidence interval (CI) = 0.81-0.98), which was higher than that of ECVpost (AUC, 0.91 (95% CI = 0.80-0.97); p = 0.60) or ECVΔ (AUC, 0.90 (95% CI = 0.79-0.97); p = 0.61). CONCLUSIONS ECVpost and ECVΔ determined by using equilibrium contrast-enhanced CT were useful in distinguishing between pCR and non-pCR patients with LARC who received NCRT. KEY POINTS • ECVpost and ECVΔ (ECVpost - ECVpre) differed significantly between the non-pCR and pCR groups. • ECVpre cannot be used to predict the efficacy of neoadjuvant chemoradiotherapy. • ECVpost combined with ECVΔ had the best performance with an AUC of 0.92 for predicting pCR after NCRT in LARC.
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Tong Y, Zhao Z, Zhang J, Wang W, Zhu Y. High expressions of CD10, FAP and GPR77 in CAFs are associated with chemoresistance and worse prognosis in gastric cancer. Front Oncol 2022; 12:984817. [PMID: 36387219 PMCID: PMC9650088 DOI: 10.3389/fonc.2022.984817] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Accepted: 09/26/2022] [Indexed: 07/23/2023] Open
Abstract
INTRODUCTION As neoadjuvant chemotherapy (NCT) has been successfully introduced in gastric cancer (GC), more biomarkers are needed to evaluate the efficacy. Cancer-associated fibroblasts (CAFs) is associated with chemoresistance and prognosis. Three biomarkers, CD10, fibroblast activation protein-α (FAP) and G-protein-coupled receptor 77 (GPR77), have been proved to express in CAFs. However, their predictive values for efficacy of NCT and prognosis in gastric cancer is unknown. METHODS Totally, specimens of 171 locally advanced gastric cancer patients who underwent NCT and D2 radical gastrectomy and matched preoperative biopsy specimens were retrospectively analyzed. Tumor regression grade (TRG) is reevaluated according to Mandard TRG. Expressions of CD10, FAP and GPR77 in CAFs before NCT (pre-) and after NCT (post-) were evaluated by immunohistochemistry. Survival curves on overall survival (OS) were obtained by Kaplan-Meier method, and differences were analyzed by log-rank test. Associations between categorical variables were explored by chi-square test or Fisher's exact method. Univariable and multivariate analyses were performed by logistic regression model and Cox proportional hazard regression model. RESULTS High expressions of post-CD10, post-FAP, post-GPR77 and pre-CD10 were related to worse TRG (all p<0.05). In multivariable analysis, post- and pre-FAP were independent predictive factors to TRG (p<0.010). Post-CD10 (p=0.032) and post-FAP (p=0.013) were related to OS in univariable analysis, but none of biomarkers were independent prognostic factors in multivariable analysis. CONCLUSIONS Expressions of CD10, FAP and GPR77 in CAFs were related to chemoresistance and overall survival, and these biomarkers have predictive values for tumor regression and prognosis in locally advanced gastric cancer patients.
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Affiliation(s)
- Yilin Tong
- Department of Gastric Surgery, Affiliated Cancer Hospital of Dalian University of Technology (Liaoning Cancer Hospital and Institute, Cancer Hospital of China Medical University), Shenyang, Liaoning, China
| | - Zehua Zhao
- Department of Pathology, Affiliated Cancer Hospital of Dalian University of Technology (Liaoning Cancer Hospital and Institute, Cancer Hospital of China Medical University), Shenyang, Liaoning, China
| | - Jianjun Zhang
- Department of Gastric Surgery, Affiliated Cancer Hospital of Dalian University of Technology (Liaoning Cancer Hospital and Institute, Cancer Hospital of China Medical University), Shenyang, Liaoning, China
| | - Wentao Wang
- Department of Gastric Surgery, Affiliated Cancer Hospital of Dalian University of Technology (Liaoning Cancer Hospital and Institute, Cancer Hospital of China Medical University), Shenyang, Liaoning, China
| | - Yanmei Zhu
- Department of Pathology, Affiliated Cancer Hospital of Dalian University of Technology (Liaoning Cancer Hospital and Institute, Cancer Hospital of China Medical University), Shenyang, Liaoning, China
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10
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Dai F, Wu X, Wang X, Li K, Wang Y, Shen C, Zhou J, Niu H, Deng B, Tan Q, Wang R, Guo W. Neoadjuvant immunotherapy combined with chemotherapy significantly improved patients' overall survival when compared with neoadjuvant chemotherapy in non-small cell lung cancer: A cohort study. Front Oncol 2022; 12:1022123. [PMID: 36353552 PMCID: PMC9637677 DOI: 10.3389/fonc.2022.1022123] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 10/07/2022] [Indexed: 10/18/2023] Open
Abstract
BACKGROUND Programmed death-1 (PD-1)/programmed death ligand-1 (PD-L1) inhibitors displayed considerable advantages in neoadjuvant therapy of non-small cell lung cancer (NSCLC), but the specific application of neoadjuvant immunotherapy has not been well determined, and the long-term prognostic data of neoadjuvant immunochemotherapy combined with surgical resection of NSCLC remains limited. In this study, we intended to assess the efficacy of the neoadjuvant therapy of the PD-1 inhibitor and long-term prognosis in patients with resectable NSCLC. METHODS We retrospectively analyzed NSCLC surgical patients treated with neoadjuvant therapy in our hospital, and divided them into a neoadjuvant chemotherapy group and a neoadjuvant immunotherapy combined with chemotherapy group. The propensity score matching method was used to evaluate the effectiveness of immunotherapy combined with chemotherapy in the treatment of resectable lung cancer, and the long-term prognosis of these two groups was compared. RESULTS A total of 62 cases were enrolled, including 20 patients (20/62, 32.26%) in the immunotherapy group and 42 patients (42/62, 67.74%) in the chemotherapy group. The clinical baseline data of these two groups were balanced. In the immunotherapy group, all patients had tumor regression in imaging finding (tumor regression ratio: 11.88% - 75.00%). In the chemotherapy group, 30 patients had tumor regression (tumor regression ratio: 2.70% - 58.97%). The R0 removal rates of cancers were comparable between the immunotherapy group and chemotherapy group (19/20, 95.00% vs. 39/42, 92.86%, P=1.000). The two groups were balanced in complete minimally invasive surgery, pneumonectomy, operative duration, blood loss, postoperative complications, and hospital stay. The immunotherapy group had more sleeve resection (36.84% vs. 10.26%, p=0.039) including bronchial sleeve and vascular sleeve, higher pathological complete response (pCR) rate (57.89% vs. 5.13%, P<0.001) and major pathologic response (MPR) rate (78.95% vs. 10.26%, P<0.001). There were no differences in survival curves for: smoker and non-smoker, squamous cell carcinoma and adenocarcinoma, or right lung cancer and left lung cancer. Moreover, patients who achieved MPR (including pCR) had significantly better overall survival (OS) and disease-free survival (DFS). Patients in immunotherapy group had significantly better OS and longer DFS than those in chemotherapy group. CONCLUSIONS In conclusion, neoadjuvant immunotherapy combined with chemotherapy can provide better OS and DFS and improving pCR and MPR rates by shrinking tumors.This study has been registered in the Chinese Clinical Trial Registry, number ChiCTR2200060433. http://www.chictr.org.cn/edit.aspx?pid=170157&htm=4.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | - Wei Guo
- Department of Thoracic Surgery, Daping Hospital, Army Medical University, Chongqing, China
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11
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Ryu HS, Lee JL, Kim CW, Yoon YS, Park IJ, Lim SB, Yu CS, Kim JH, Kim JC. Correlative significance of tumor regression grade and ypT category in patients undergoing preoperative chemoradiotherapy for locally advanced rectal cancer. Clin Colorectal Cancer 2022; 21:212-219. [DOI: 10.1016/j.clcc.2022.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 01/28/2022] [Accepted: 02/07/2022] [Indexed: 11/03/2022]
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12
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Shi C, Badgwell BD, Grabsch HI, Gibson MK, Hong SM, Kumarasinghe P, Lam AK, Lauwers G, O'Donovan M, van der Post RS, Tang L, Ushiku T, Vieth M, Selinger CI, Webster F, Nagtegaal ID. Data Set for Reporting Carcinoma of the Stomach in Gastrectomy. Arch Pathol Lab Med 2021; 146:1072-1083. [DOI: 10.5858/arpa.2021-0225-oa] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/19/2021] [Indexed: 11/06/2022]
Abstract
Context.—
A standardized detailed surgical pathology report is the cornerstone of gastric cancer management.
Objective.—
To guide management and prognostication for patients with gastric carcinomas globally, the International Collaboration on Cancer Reporting aimed to produce an evidence-based international pathology reporting data set with a panel of globally recognized expert pathologists and clinicians.
Design.—
Based on published guidelines/data sets for gastric carcinomas, a working draft was developed by the chair of the expert panel of pathologists and clinicians. The draft was then circulated to the panel and discussed in a series of teleconferences and email communications until consensus was achieved. The draft data set was uploaded on the International Collaboration on Cancer Reporting Web site for public comment. The data set was reviewed in consideration of the feedback, and a final version was approved by the panel.
Results.—
This data set was developed for gastrectomy specimens for primary gastric carcinomas, including neuroendocrine carcinomas and mixed neuroendocrine-nonneuroendocrine neoplasms. Well-differentiated neuroendocrine tumors, nonepithelial malignancies, and secondary tumors were excluded from this data set. The final data set contains 15 core (required) elements and 8 noncore (recommended) elements. A commentary is provided for each element.
Conclusions.—
The International Collaboration on Cancer Reporting has published freely available, evidence-based data sets for gastric cancer reporting. Standardized reporting has been shown to improve patient care and facilitates data exchange and analysis for quality assurance, cancer epidemiology, and clinical and basic research.
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Affiliation(s)
- Chanjuan Shi
- From the Department of Pathology, Duke University School of Medicine, Durham, North Carolina (Shi)
| | - Brian D. Badgwell
- The Division of Surgery, Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston (Badgwell)
| | - Heike I. Grabsch
- The Department of Pathology, GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, the Netherlands (Grabsch)
- The Division of Pathology & Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, United Kingdom (Grabsch)
| | - Michael K. Gibson
- The Division of Hematology and Oncology, Vanderbilt University Medical Center, Vanderbilt-Ingram Cancer Center, Nashville, Tennessee (Gibson)
| | - Seung-Mo Hong
- The Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea (Hong)
| | - Priyanthi Kumarasinghe
- PathWest Laboratory Medicine, PathWest QEII Medical Center, Perth, Australia (Kumarasinghe)
| | - Alfred K. Lam
- Pathology, School of Medicine, Gold Coast Campus, Griffith University, Gold Coast, Australia (Lam)
- Pathology Queensland, Gold Coast University Hospital, Southport, Australia (Lam)
- Faculty of Medicine, The University of Queensland, Herston, Australia (Lam)
| | - Gregory Lauwers
- The Department of Pathology, Moffitt Cancer Center, Tampa, Florida (Lauwers)
| | - Maria O'Donovan
- The Histopathology Department, Cambridge University Hospitals NHS Foundation Trust Addenbrookes Hospital, Cambridge, United Kingdom (O'Donovan)
| | - Rachel S. van der Post
- The Department of Pathology, Radboud University Medical Center, Nijmegen, the Netherlands (van der Post and Nagtegaal)
| | - Laura Tang
- The Department of Pharmacy, Memorial Sloan Kettering Cancer Center, New York, New York, (Tang)
| | - Tetsuo Ushiku
- The Department of Pathology and Diagnostic Pathology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan (Ushiku)
| | - Michael Vieth
- The Institute of Pathology, Friedrich-Alexander University Erlangen-Nuremberg, Klinikum Bayreuth, Germany (Vieth)
| | | | - Fleur Webster
- The International Collaboration on Cancer Reporting, Sydney, Australia (Webster)
| | - Iris D. Nagtegaal
- The Department of Pathology, Radboud University Medical Center, Nijmegen, the Netherlands (van der Post and Nagtegaal)
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13
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Liu ZN, Wang YK, Zhang L, Jia YN, Fei S, Ying XJ, Zhang Y, Li SX, Sun Y, Li ZY, Ji JF. Comparison of tumor regression grading systems for locally advanced gastric adenocarcinoma after neoadjuvant chemotherapy. World J Gastrointest Oncol 2021; 13:2161-2179. [PMID: 35070049 PMCID: PMC8713316 DOI: 10.4251/wjgo.v13.i12.2161] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 07/25/2021] [Accepted: 09/17/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Current tumor regression grade (TRG) evaluations are based on various systems which brings confusion for oncologists and pathologists when interpreting results. The recent six-tier system (JGCA2017-TRG) recommended by the Japanese Gastric Cancer Association (JGCA) is worth investigating, as four-tier TRG systems are favored in various parts of the world.
AIM To compare the predictive accuracies of five published TRG systems.
METHODS Data were retrospectively collected from patients with locally advanced gastric cancer (LAGC) who underwent neoadjuvant chemotherapy followed by D2 Lymphadenectomy between January 2005 and January 2014 at our institution. Outcomes were overall survival (OS) and disease-free survival (DFS), which were evaluated separately using the following TRG systems: JGCA2017, JGCA, Becker, AJCC/CAP, and Mandard.
RESULTS All five published TRG systems were independent predictors for OS and DFS. Concordance indices of the JGCA2017, JGCA, Becker, AJCC/CAP-TRG, and Mandard systems were 0.651/0.648 0.652/0.649, 0.693/0.695, 0.688/0.685, and 0.674/0.675 for OS and DFS, respectively. The four-tier Becker system showed the highest c-index, which was significantly greater than that of the six-tier JGCA2017 and five-tier JGCA systems (P < 0.05 in OS and DFS). When residual tumor percentages were reset as: “no residual tumor”, < 10%, < 100%, and “no response”, the rearranged cutoff values achieved a maximum c-index with 0.728 for OS and 0.737 for DFS, which was superior to the other five systems.
CONCLUSION The newly introduced six-tier JGCA-TRG system cannot increase prognostic stratification. The four-tier Becker system is more suitable for LAGC patients. A population-based study is warranted to define the optimal criterion for TRG in LAGC patients.
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Affiliation(s)
- Zi-Ning Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Gastrointestinal Cancer Center, Peking University Cancer Hospital and Institute, Beijing 100142, China
| | - Yin-Kui Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Gastrointestinal Cancer Center, Peking University Cancer Hospital and Institute, Beijing 100142, China
| | - Li Zhang
- Department of Pathology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, Beijing 100142, China
| | - Yong-Ning Jia
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Gastrointestinal Cancer Center, Peking University Cancer Hospital and Institute, Beijing 100142, China
| | - Shan Fei
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Gastrointestinal Cancer Center, Peking University Cancer Hospital and Institute, Beijing 100142, China
| | - Xiang-Ji Ying
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Gastrointestinal Cancer Center, Peking University Cancer Hospital and Institute, Beijing 100142, China
| | - Yan Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Gastrointestinal Cancer Center, Peking University Cancer Hospital and Institute, Beijing 100142, China
| | - Shuang-Xi Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Gastrointestinal Cancer Center, Peking University Cancer Hospital and Institute, Beijing 100142, China
| | - Yu Sun
- Department of Pathology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, Beijing 100142, China
| | - Zi-Yu Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Gastrointestinal Cancer Center, Peking University Cancer Hospital and Institute, Beijing 100142, China
| | - Jia-Fu Ji
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Gastrointestinal Cancer Center, Peking University Cancer Hospital and Institute, Beijing 100142, China
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14
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Tong Y, Zhu Y, Zhao Y, Jiang C, Wang W, Shan Z, Sun F, Liu D, Zhang J. CA724 Predicts Tumor Regression Grade in Locally Advanced Gastric Cancer Patients with Neoadjuvant Chemotherapy. J Cancer 2021; 12:6465-6472. [PMID: 34659537 PMCID: PMC8489128 DOI: 10.7150/jca.60694] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Accepted: 08/23/2021] [Indexed: 12/16/2022] Open
Abstract
Purpose: Tumor regression grade (TRG) is widely used to evaluate the efficacy of neoadjuvant chemotherapy (NCT) and it is related to many clinicopathological factors. However, whether TRG can be predicted by clinical characteristics is unknown. Methods: 141 locally advanced gastric cancer (GC) patients who underwent NCT and curative operation were retrospectively analyzed. TRG is reevaluated according to the CAP guideline. The values of CA199, CA125 and CA724 before NCT (pre-) and after NCT (post-) were extracted from our database. Survival curves on overall survival (OS) were obtained by Kaplan-Meier method, and differences were analyzed by log-rank test. Associations between categorical variables were explored by chi-square test or Fisher's exact method. Univariable and multivariate analyses were performed by logistic regression model or Cox proportional hazard regression model. Results: TRG was related to OS (P < 0.001), especially when divided into responders (TRG 0-1) and non-responders (TRG 2-3). Pre-CA724 (p = 0.029) and post-CA199 (p = 0.038) were related to OS. In multivariable analysis, pre-CA724 (p = 0.015) and post-CA199 (p = 0.007) were independent prognostic factors for OS, respectively. The changes (diff-) of all tumor markers were not related to OS. Among the clinical characteristics, pre-CA724 (P = 0.047) and tumor size (P = 0.012) were related to TRG, while pre-CA199 (P = 0.377) and pre-CA125 (P = 0.856) were not. In logistics analysis, pre-CA724 (P = 0.032), tumor size (P = 0.011) and tumor location (P = 0.047) were independent risk factors to pathological response. Conclusion: CA724 was an independent prognostic factor for OS and could be used to predict pathological response.
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Affiliation(s)
- Yilin Tong
- Department of Gastric Surgery, Liaoning Cancer Hospital and Institute, Cancer Hospital of China Medical University, Shenyang, China
| | - Yanmei Zhu
- Department of Pathology, Liaoning Cancer Hospital and Institute, Cancer Hospital of China Medical University, Shenyang, China
| | - Yan Zhao
- Department of Gastric Surgery, Liaoning Cancer Hospital and Institute, Cancer Hospital of China Medical University, Shenyang, China
| | - Chengyao Jiang
- Department of Gastric Surgery, Liaoning Cancer Hospital and Institute, Cancer Hospital of China Medical University, Shenyang, China
| | - Wentao Wang
- Department of Gastric Surgery, Liaoning Cancer Hospital and Institute, Cancer Hospital of China Medical University, Shenyang, China
| | - Zexing Shan
- Department of Gastric Surgery, Liaoning Cancer Hospital and Institute, Cancer Hospital of China Medical University, Shenyang, China
| | - Fan Sun
- Department of Gastric Surgery, Liaoning Cancer Hospital and Institute, Cancer Hospital of China Medical University, Shenyang, China
| | - Dong Liu
- Department of Pathology, Liaoning Cancer Hospital and Institute, Cancer Hospital of China Medical University, Shenyang, China
| | - Jianjun Zhang
- Department of Gastric Surgery, Liaoning Cancer Hospital and Institute, Cancer Hospital of China Medical University, Shenyang, China
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15
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Lombardi PM, Mazzola M, Achilli P, Aquilano MC, De Martini P, Curaba A, Gualtierotti M, Bertoglio CL, Magistro C, Ferrari G. Prognostic value of pathological tumor regression grade in locally advanced gastric cancer: New perspectives from a single-center experience. J Surg Oncol 2021; 123:923-931. [PMID: 33497471 DOI: 10.1002/jso.26391] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 01/09/2021] [Accepted: 01/12/2021] [Indexed: 12/30/2022]
Abstract
BACKGROUND AND OBJECTIVE Perioperative chemotherapy (PC) with radical surgery represents the gold standard of treatment for resectable advanced gastric cancer (GC). The prognostic value of pathological tumor regression grade (TRG) induced by neoadjuvant chemotherapy (NACT) is not clearly established. This study aimed to investigate the correlation between TRG and survival in GC. METHODS Patients affected by advanced GC undergoing PC and radical surgery were considered. TRG was assessed for each patient according to Becker's grading system. The correlation between TRG and survival was investigated. RESULTS One-hundred patients were selected; 25 showed a good response (GR) (TRG 1a/1b), while 75 had a poor response (PR) (TRG 2/3) to NACT. GR patients showed better disease-free survival (DFS) (52 vs. 19 months, p < .001) and disease-specific survival (DSS) (57 vs. 25 months, p < .0001) when compared to PR patients. On univariate analysis, TRG, lymph node ratio (LNR), tumor size, grading, and post-neoadjuvant therapy TNM stage were significantly correlated with survival. On multivariate analysis, TRG, LNR and tumor size were independent prognostic factors for DFS and DSS. CONCLUSIONS TRG, LNR, and tumor size are independent prognostic factors for DFS and DSS in patients with advanced GC undergoing NACT.
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Affiliation(s)
- Pietro Maria Lombardi
- Division of Minimally-invasive Surgical Oncology, Niguarda Cancer Center, ASST Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, Milan, Italy
| | - Michele Mazzola
- Division of Minimally-invasive Surgical Oncology, Niguarda Cancer Center, ASST Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, Milan, Italy
| | - Pietro Achilli
- Division of Minimally-invasive Surgical Oncology, Niguarda Cancer Center, ASST Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, Milan, Italy
| | - Maria Costanza Aquilano
- Department of Oncology and Hemat-Oncology, Niguarda Cancer Center, ASST Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, Milan, Italy
| | - Paolo De Martini
- Division of Minimally-invasive Surgical Oncology, Niguarda Cancer Center, ASST Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, Milan, Italy
| | - Annabella Curaba
- Department of Pathology and Cytogenetics, Niguarda Cancer Center, ASST Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, Milan, Italy
| | - Monica Gualtierotti
- Division of Minimally-invasive Surgical Oncology, Niguarda Cancer Center, ASST Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, Milan, Italy
| | - Camillo L Bertoglio
- Division of Minimally-invasive Surgical Oncology, Niguarda Cancer Center, ASST Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, Milan, Italy
| | - Carmelo Magistro
- Division of Minimally-invasive Surgical Oncology, Niguarda Cancer Center, ASST Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, Milan, Italy
| | - Giovanni Ferrari
- Division of Minimally-invasive Surgical Oncology, Niguarda Cancer Center, ASST Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore, Milan, Italy
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