LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 4897

Search options

  1. Article ; Online: LMOD1, an oncogene associated with Lauren classification, regulates the metastasis of gastric cancer cells through the FAK-AKT/mTOR pathway.

    Tan, Yuen / Chen, Qingchuan / Pan, Siwei / An, Wen / Xu, Huimian / Xing, Yao / Zhang, Jianjun

    BMC cancer

    2022  Volume 22, Issue 1, Page(s) 474

    Abstract: Background: The Lauren classification of gastric tumors strongly correlates with prognosis ... The purpose of this study was to explore the specific molecular mechanism of Lauren classification ... Results: The WGCNA model demonstrated that blue cyan was highly correlated with the Lauren classification ...

    Abstract Background: The Lauren classification of gastric tumors strongly correlates with prognosis. The purpose of this study was to explore the specific molecular mechanism of Lauren classification of gastric cancer and provide a possible theoretical basis for the treatment of gastric cancer.
    Methods: We standardized the gene expression data of five Gene Expression Omnibus gastric cancer databases and constructed a Weighted Co-expression Network Analysis (WGCNA) model based on clinicopathological information. The overall survival (OS) and disease-free survival (DFS) curves were extracted from the Cancer Genome Atlas (TCGA) and GSE62254 databases. Western blotting was used to measure protein expression in cells and tissues. Scratch and transwell experiments were used to test the migration ability of tumor cells. Immunohistochemistry was used to measure tissue protein expression in clinical tissue samples to correlate to survival data.
    Results: The WGCNA model demonstrated that blue cyan was highly correlated with the Lauren classification of the tumor (r = 0.24, P = 7 × 10
    Conclusion: LMOD1 is an oncogene associated with diffuse gastric cancer and can affect the occurrence and development of EMT by regulating the FAK-Akt/mTOR pathway. LMOD1 can therefore promote peritoneal metastasis of gastric cancer cells and can be used as a novel therapeutic target for gastric cancer.
    MeSH term(s) Autoantigens ; Cell Line, Tumor ; Cell Movement/genetics ; Cytoskeletal Proteins/genetics ; Humans ; Oncogenes ; Peritoneal Neoplasms/genetics ; Proto-Oncogene Proteins c-akt/metabolism ; Stomach Neoplasms/pathology ; TOR Serine-Threonine Kinases/genetics ; TOR Serine-Threonine Kinases/metabolism
    Chemical Substances Autoantigens ; Cytoskeletal Proteins ; LMOD1 protein, human ; MTOR protein, human (EC 2.7.1.1) ; Proto-Oncogene Proteins c-akt (EC 2.7.11.1) ; TOR Serine-Threonine Kinases (EC 2.7.11.1)
    Language English
    Publishing date 2022-04-30
    Publishing country England
    Document type Journal Article
    ZDB-ID 2041352-X
    ISSN 1471-2407 ; 1471-2407
    ISSN (online) 1471-2407
    ISSN 1471-2407
    DOI 10.1186/s12885-022-09541-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  2. Article ; Online: A radiomics nomogram analysis based on CT images and clinical features for preoperative Lauren classification in gastric cancer.

    Nie, Tingting / Liu, Dan / Ai, Shuangquan / He, Yaoyao / Yang, Miao / Chen, Jun / Yuan, Zilong / Liu, Yulin

    Japanese journal of radiology

    2022  Volume 41, Issue 4, Page(s) 401–408

    Abstract: ... clinical features to preoperatively distinguish Lauren's diffuse-type gastric cancer (GC) from intestinal ... type GC.: Methods: Ninety-five patients with Lauren's intestinal or diffuse-type GC confirmed ... 940) in the test cohort. Among the combined models that assessed Lauren's type GC, the model including ...

    Abstract Purpose: To develop a combined radiomics nomogram based on computed tomography (CT) images and clinical features to preoperatively distinguish Lauren's diffuse-type gastric cancer (GC) from intestinal-type GC.
    Methods: Ninety-five patients with Lauren's intestinal or diffuse-type GC confirmed by postoperative pathology had their preoperative clinical information and dynamic contrast CT images retrospectively analyzed and were subdivided into training and test groups in a 7:3 ratio. To select the optimal features and construct the radiomic signatures, we extracted, filtered, and minimized the radiomic features from arterial phase (AP) and venous phase (VP) CT images. We constructed four models (clinical model, AP radiomics model, VP radiomics model, and radiomics-clinical model) to assess and compare their predictive performance between the intestinal- and diffuse-type GC. Receiver-operating characteristic (ROC) curve, area under the ROC curve (AUC), and the DeLong test were used for assessment and comparison. In this study, radiomic nomograms integrating combined radiomic signatures and clinical characteristics were developed.
    Results: Compared to the AP radiomics model, the VP radiomics model had better performance, with an AUC of 0.832 (95% confidence interval [CI], 0.735, 0.929) in the training cohort and 0.760 (95% CI 0.580, 0.940) in the test cohort. Among the combined models that assessed Lauren's type GC, the model including age and VP radiomics showed the best performance, with an AUC of 0.849 (95% CI 0.758, 0.940) in the training cohort and 0.793 (95% CI 0.629, 0.957) in the test cohort.
    Conclusions: Nomogram incorporating radiomic signatures and clinical features effectively differentiated Lauren's diffuse-type from intestinal-type GC.
    MeSH term(s) Humans ; Nomograms ; Retrospective Studies ; Stomach Neoplasms/diagnostic imaging ; Stomach Neoplasms/surgery ; Stomach Neoplasms/pathology ; ROC Curve ; Tomography, X-Ray Computed/methods
    Language English
    Publishing date 2022-11-12
    Publishing country Japan
    Document type Journal Article
    ZDB-ID 2488907-6
    ISSN 1867-108X ; 1867-1071
    ISSN (online) 1867-108X
    ISSN 1867-1071
    DOI 10.1007/s11604-022-01360-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  3. Article ; Online: Intratumoral and peritumoral radiomics analysis for preoperative Lauren classification in gastric cancer.

    Wang, Xiao-Xiao / Ding, Yi / Wang, Si-Wen / Dong, Di / Li, Hai-Lin / Chen, Jian / Hu, Hui / Lu, Chao / Tian, Jie / Shan, Xiu-Hong

    Cancer imaging : the official publication of the International Cancer Imaging Society

    2020  Volume 20, Issue 1, Page(s) 83

    Abstract: Background: Preoperative prediction of the Lauren classification in gastric cancer (GC) is very ... However, there is not yet radiomics analysis concerning the prediction of Lauren classification straightly ... In this study, a radiomic nomogram was developed to preoperatively differentiate Lauren diffuse type ...

    Abstract Background: Preoperative prediction of the Lauren classification in gastric cancer (GC) is very important to the choice of therapy, the evaluation of prognosis, and the improvement of quality of life. However, there is not yet radiomics analysis concerning the prediction of Lauren classification straightly. In this study, a radiomic nomogram was developed to preoperatively differentiate Lauren diffuse type from intestinal type in GC.
    Methods: A total of 539 GC patients were enrolled in this study and later randomly allocated to two cohorts at a 7:3 ratio for training and validation. Two sets of radiomic features were derived from tumor regions and peritumor regions on venous phase computed tomography (CT) images, respectively. With the least absolute shrinkage and selection operator logistic regression, a combined radiomic signature was constructed. Also, a tumor-based model and a peripheral ring-based model were built for comparison. Afterwards, a radiomic nomogram integrating the combined radiomic signature and clinical characteristics was developed. All the models were evaluated regarding classification ability and clinical usefulness.
    Results: The combined radiomic signature achieved an area under receiver operating characteristic curve (AUC) of 0.715 (95% confidence interval [CI], 0.663-0.767) in the training cohort and 0.714 (95% CI, 0.636-0.792) in the validation cohort. The radiomic nomogram incorporating the combined radiomic signature, age, CT T stage, and CT N stage outperformed the other models with a training AUC of 0.745 (95% CI, 0.696-0.795) and a validation AUC of 0.758 (95% CI, 0.685-0.831). The significantly improved sensitivity of radiomic nomogram (0.765 and 0.793) indicated better identification of diffuse type GC patients. Further, calibration curves and decision curves demonstrated its great model fitness and clinical usefulness.
    Conclusions: The radiomic nomogram involving the combined radiomic signature and clinical characteristics holds potential in differentiating Lauren diffuse type from intestinal type for reasonable clinical treatment strategy.
    MeSH term(s) Aged ; Female ; Humans ; Male ; Middle Aged ; Neoplasm Staging ; Nomograms ; Stomach Neoplasms/classification ; Stomach Neoplasms/diagnostic imaging ; Stomach Neoplasms/pathology ; Tomography, X-Ray Computed/methods
    Language English
    Publishing date 2020-11-23
    Publishing country England
    Document type Journal Article ; Randomized Controlled Trial
    ZDB-ID 2104862-9
    ISSN 1470-7330 ; 1470-7330
    ISSN (online) 1470-7330
    ISSN 1470-7330
    DOI 10.1186/s40644-020-00358-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  4. Article ; Online: Clinicopathological Variation of Lauren Classification in Gastric Cancer.

    Chen, Yun-Chi / Fang, Wen-Liang / Wang, Ruei-Fang / Liu, Chien-An / Yang, Muh-Hwa / Lo, Shu-Shun / Wu, Chew-Wen / Li, Anna Fen-Yau / Shyr, Yi-Ming / Huang, Kuo-Hung

    Pathology oncology research : POR

    2016  Volume 22, Issue 1, Page(s) 197–202

    Abstract: ... prognosis in gastric cancer. Lauren's classification is currently a useful histological classification ... There are few large series evaluating the prognostic significance of Lauren's classification ... for gastric cancer. According Lauren's classification, 1423(46.3%) patients were intestinal type, 1000 patients (32.6 ...

    Abstract The investigation of prognostic factor for gastric cancer is still desirable because of dismal prognosis in gastric cancer. Lauren's classification is currently a useful histological classification. There are few large series evaluating the prognostic significance of Lauren's classification in gastric cancer. From January 1987 to December 2013, a total of 3071 patients received gastrectomy for gastric cancer. According Lauren's classification, 1423(46.3%) patients were intestinal type, 1000 patients (32.6%) were diffuse type, and 648 patients (21.1%) were mixed type. The clinicopathological characteristics and prognosis in Lauren's classification were analyzed in these patients. Our results showed that patients with intestinal type gastric cancer (57.7%) had a better 5-year overall survival than diffuse type (45.6%) and mixed type (43.4%, P < 0.001). The clinicopathological characteristics showed that gastric cancer patients with intestinal type were older (P < 0.001), male predominant (P < 0.001), smaller tumor size (P < 0.001), distal stomach predominant (P < 0.001), relative well differentiated (P < 0.001), less advanced Borrmann type (P < 0.001), less scirrhous type stromal reaction(P < 0.001), less infiltrating type of Ming's histology type(P < 0.001), less tumor invasion depth and less lymphovascular invasion (P < 0.001). Multivariate analysis with overall survival as an endpoint showed that age (P = 0.005), Borrmann classification (P < 0.001), pathological T category (P = 0.023), pathological N category (P < 0.001) and Lauren's classification (P = 0.003) were significant correlated in gastric cancer. Lauren's classification is an independent prognostic factor in gastric cancer patient undergoing gastrectomy. Lauren's classification can serve as a prognostic marker for gastric cancer patient receiving gastrectomy. The clinicopathological appearance and prognosis of mixed type gastric cancer is similar to diffuse type gastric cancer.
    MeSH term(s) Adenocarcinoma/classification ; Adenocarcinoma/pathology ; Adenocarcinoma/surgery ; Aged ; Female ; Follow-Up Studies ; Gastrectomy ; Humans ; Intestinal Neoplasms/classification ; Intestinal Neoplasms/pathology ; Intestinal Neoplasms/surgery ; Male ; Neoplasm Grading ; Neoplasm Invasiveness ; Neoplasm Staging ; Prognosis ; Stomach Neoplasms/classification ; Stomach Neoplasms/pathology ; Stomach Neoplasms/surgery ; Survival Rate
    Language English
    Publishing date 2016-01
    Publishing country Netherlands
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1375979-6
    ISSN 1532-2807 ; 1219-4956
    ISSN (online) 1532-2807
    ISSN 1219-4956
    DOI 10.1007/s12253-015-9996-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  5. Article: Analysis of the Incidence and Survival of Gastric Cancer Based on the Lauren Classification: A Large Population-Based Study Using SEER.

    Tang, Chao-Tao / Zeng, Ling / Yang, Jing / Zeng, Chunyan / Chen, Youxiang

    Frontiers in oncology

    2020  Volume 10, Page(s) 1212

    Abstract: Background: ...

    Abstract Background:
    Language English
    Publishing date 2020-08-03
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2649216-7
    ISSN 2234-943X
    ISSN 2234-943X
    DOI 10.3389/fonc.2020.01212
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  6. Article ; Online: Lauren classification identifies distinct prognostic value and functional status of intratumoral CD8

    Li, Ruochen / Zhang, Heng / Cao, Yifan / Liu, Xin / Chen, Yifan / Qi, Yangyang / Wang, Jieti / Yu, Kuan / Lin, Chao / Liu, Hao / He, Hongyong / Li, He / Chen, Lingli / Shen, Zhenbin / Qin, Jing / Zhang, Weijuan / Sun, Yihong / Xu, Jiejie

    Cancer immunology, immunotherapy : CII

    2020  Volume 69, Issue 7, Page(s) 1327–1336

    Abstract: ... This study was aimed to evaluate the functional impact of Lauren classification on immune contexture ...

    Abstract With dichotomous etiology and pathogenesis, intestinal type and diffuse type gastric cancers vary in their clinical and molecular features to the point of representing distinct entities. However, the differences of tumor-infiltrating immune cells within the two types of gastric cancer have not been well researched. This study was aimed to evaluate the functional impact of Lauren classification on immune contexture in gastric cancer patients. Tumor tissues of gastric cancer patients from Zhongshan Hospital and gastric cancer data from The Cancer Genome Atlas (TCGA) cohort were analyzed. By immunohistochemistry and flow cytometry, we found that intratumoral CD8
    MeSH term(s) Adenocarcinoma/classification ; Adenocarcinoma/immunology ; Adenocarcinoma/pathology ; Biomarkers, Tumor/analysis ; CD8-Positive T-Lymphocytes/immunology ; Follow-Up Studies ; Humans ; Prognosis ; Stomach Neoplasms/classification ; Stomach Neoplasms/immunology ; Stomach Neoplasms/pathology
    Chemical Substances Biomarkers, Tumor
    Language English
    Publishing date 2020-03-21
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 195342-4
    ISSN 1432-0851 ; 0340-7004
    ISSN (online) 1432-0851
    ISSN 0340-7004
    DOI 10.1007/s00262-020-02550-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  7. Article: Cardia Gastric Cancer Is Associated With Increased PIK3CA Amplifications and HER2 Expression Than Noncardia Gastric Cancer According to Lauren Classification.

    Pai, Shih-Min / Huang, Kuo-Hung / Chen, Ming-Huang / Fang, Wen-Liang / Chao, Yee / Lo, Su-Shun / Li, Anna Fen-Yau / Wu, Chew-Wun / Shyr, Yi-Ming

    Frontiers in oncology

    2021  Volume 11, Page(s) 632609

    Abstract: Background: To date, few reports have investigated genetic alterations and clinicopathological features in cardia and noncardia gastric cancer (GC).: Methods: In total, 435 GC patients receiving curative surgery were included. The clinicopathological ...

    Abstract Background: To date, few reports have investigated genetic alterations and clinicopathological features in cardia and noncardia gastric cancer (GC).
    Methods: In total, 435 GC patients receiving curative surgery were included. The clinicopathological features, recurrence patterns, prognoses and genetic alterations were compared between cardia and noncardia GC patients.
    Results: Among the 435 enrolled patients, 47 (10.8%) had cardia GC. Compared with noncardia GC, cardia GC was associated with more intestinal-type tumors and similar initial recurrence patterns and 5-year overall survival (OS; 50.8% vs. 50.5%,
    Conclusions: Cardia GC is not an independent prognostic factor. In cardia GC patients with intestinal-type GC,
    Language English
    Publishing date 2021-06-08
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2649216-7
    ISSN 2234-943X
    ISSN 2234-943X
    DOI 10.3389/fonc.2021.632609
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  8. Article ; Online: Superiority of Tumor Location-Modified Lauren Classification System for Gastric Cancer: A Multi-Institutional Validation Analysis.

    Zhao, Lin-Yong / Wang, Jun-Jiang / Zhao, Yong-Liang / Chen, Xin-Zu / Yang, Kun / Chen, Xiao-Long / Zhang, Wei-Han / Liu, Kai / Song, Xiao-Hai / Zheng, Jia-Bin / Zhou, Zong-Guang / Yu, Pei-Wu / Li, Yong / Hu, Jian-Kun

    Annals of surgical oncology

    2018  Volume 25, Issue 11, Page(s) 3257–3263

    Abstract: Background: The tumor location-modified Lauren classification (mLC) has been proposed recently ... evaluate its superiority to the Lauren classification (LC) for gastric cancer patients with gastrectomy ...

    Abstract Background: The tumor location-modified Lauren classification (mLC) has been proposed recently, but its clinical significance remains under debate. This study aimed to elucidate the clinical relevance of mLC and evaluate its superiority to the Lauren classification (LC) for gastric cancer patients with gastrectomy.
    Methods: This study retrospectively evaluated 2764 consecutive gastric cancer patients from three comprehensive medical institutions. The patients were categorized into training, inner-validation, and independent validation sets. The relationships between mLC and other clinicopathologic factors were analyzed, and independent prognostic factors were identified. Survival prognostic discriminatory ability and predictive accuracy were compared between mLC and LC using the concordance index (C-index) and Akaike's information criterion (AIC), and a nomogram based on mLC was constructed to compare its prognostic improvement with the tumor-node metastasis (TNM) staging system.
    Results: A significant association between mLC and gender, age, histologic type, T stage, N stage, and M stage was found. The findings showed that mLC, not LC, is an independent prognostic factor, with a smaller AIC and a higher C-index than LC. The nomogram based on mLC showed a better predictive ability than TNM alone.
    Conclusions: Compared with LC, mLC, which could be considered a more reliable prognostic factor, may improve the prognostic discriminatory ability and predictive accuracy for gastric cancer patients with gastrectomy.
    MeSH term(s) Female ; Follow-Up Studies ; Gastrectomy/mortality ; Humans ; Male ; Middle Aged ; Neoplasm Staging/methods ; Neoplasm Staging/standards ; Nomograms ; Retrospective Studies ; Stomach Neoplasms/classification ; Stomach Neoplasms/diagnosis ; Stomach Neoplasms/pathology ; Stomach Neoplasms/surgery ; Survival Rate
    Language English
    Publishing date 2018-07-26
    Publishing country United States
    Document type Journal Article ; Multicenter Study ; Randomized Controlled Trial ; Validation Studies
    ZDB-ID 1200469-8
    ISSN 1534-4681 ; 1068-9265
    ISSN (online) 1534-4681
    ISSN 1068-9265
    DOI 10.1245/s10434-018-6654-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  9. Article: Feasibility of differentiating T3 from T4a gastric cancer in different Lauren classification by determining serosa invasion: Diagnostic performance of high enhanced serosa sign.

    Sun, Rui-Jia / Tang, Lei / Chen, Ying / Li, Xiao-Ting / Sun, Yu / Li, Zi-Yu / Sun, Ying-Shi

    Chinese journal of cancer research = Chung-kuo yen cheng yen chiu

    2018  Volume 30, Issue 2, Page(s) 263–271

    Abstract: ... tomography (CT) in differentiating T3 from T4a gastric cancer in different Lauren classification.: Methods ... on CT in the differentiation of T4a from T3 in different Lauren classification was calculated ...

    Abstract Objective: To study the value of high enhanced serosa sign on contrast-enhanced computed tomography (CT) in differentiating T3 from T4a gastric cancer in different Lauren classification.
    Methods: This study included 276 consecutive patients with surgically confirmed pT3 or pT4a gastric cancers. The pre-operative CT images were reviewed by two radiologists blinded. The demonstration of the high enhanced serosa on CT between T3 and T4a was compared with chi-square test. The diagnostic performance of this sign on CT in the differentiation of T4a from T3 in different Lauren classification was calculated.
    Results: The accuracy, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) for the judgement of serosa invasion using the high enhanced serosa sign on CT was 74.6%, 63.7%, 83.6%, 76.0% and 73.8% by one radiologist and 76.4%, 66.1%, 84.9%, 78.1% and 75.4% by the other radiologist. Compared to the intestinal-type, the sensitivity of the judgement of serosa invasion using the high enhanced serosa sign on CT in diffuse-type was significant higher (80% in both readers), while the specificity trended to be lower (65.9% and 80.5%, respectively). There is no significant difference in the accuracy of diagnosis between intestinal-type and diffuse-type of gastric cancers (the P-values of two radiologists were 0.968, 0.591, respectively). The combination of the high enhanced serosa sign with conventional CT signs is significant different in diagnosis of T3 and T4a (P<0.001). The diagnostic accuracy was increased in both radiologists after the combination. The two readers achieved substantial agreement, with Kappa coefficient of 0.63, P<0.001.
    Conclusions: The high enhanced serosa sign on CT is associated with serosa involvement. The sensitivity of the judgement of serosa invasion using this sign on CT in diffuse-type was significant higher than that in intestinal-type.
    Language English
    Publishing date 2018-03-01
    Publishing country China
    Document type Journal Article
    ZDB-ID 1067584-x
    ISSN 1993-0631 ; 1000-9604
    ISSN (online) 1993-0631
    ISSN 1000-9604
    DOI 10.21147/j.issn.1000-9604.2018.02.09
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  10. Article ; Online: The Efficacy of Taxanes- and Oxaliplatin-Based Chemotherapy in the Treatment of Gastric Cancer After D2 Gastrectomy for Different Lauren Types.

    Zheng, Zhen / Jin, Xiance / He, Qiuxiang / Lin, Baochai / Su, Huafang / Chen, Hanbin / Fei, Shaoran / Fei, Zhenghua / Chen, Guorong / Pan, Huangle / Chen, Xiaolei / Xie, Congying

    Medicine

    2016  Volume 95, Issue 6, Page(s) e2785

    Abstract: ... in the treatment of gastric cancer patients after D2 gastrectomy with different Lauren types. In this study, 299 ... according to different Lauren types, such as the intestinal type, diffuse type, and mixed type groups ... Therefore, it will be of benefit for gastric patients by introducing Lauren classification clinically and to help ...

    Abstract To investigate the efficacy of Taxanes- and Oxaliplatin-based chemotherapies (TC and OC) in the treatment of gastric cancer patients after D2 gastrectomy with different Lauren types. In this study, 299 patients of gastric adenocarcinoma with D2 lymph node dissection were reviewed between 2007 and 2014. Chemotherapies were classified as Oxaliplatin-based and Taxanes-based regimen. Treatment outcomes were analyzed according to different Lauren types, such as the intestinal type, diffuse type, and mixed type groups, respectively. The disease-free survival (DFS) and overall survival (OS) were estimated using the Kaplan-Meier method. The log-rank test was used for univariate analysis, and Cox regression was used for multivariate analysis. In diffuse type gastric cancer, the Oxaliplatin-based arm had a longer median DFS and OS compared with Taxanes-based arm (DFS: 47.0 vs 28.6 months, P = 0.04; OS: 51.9 vs 34.5 months, P = 0.048). The chemotherapy regimen was an independent prognostic factor for DFS and OS of diffuse type gastric cancer patients by multivariate analysis (P = 0.01). In the intestinal type, although the DFS and OS of intestinal type patients in TC group were higher than those in OC group (DFS: 53.4 vs 42.4 months; OS: 69.7 vs 57.8 months), there was no statistical significance observed (both P > 0.05). For the mixed type, the 2 different chemotherapy regimens achieved similar median DFS and OS. In a conclusion, the patients of diffuse type were more sensitive to OC, and the intestinal type patients may be benefit from TC. Therefore, it will be of benefit for gastric patients by introducing Lauren classification clinically and to help the choice of chemotherapy regimen for gastric patients after D2 gastrectomy.
    MeSH term(s) Adenocarcinoma/classification ; Adenocarcinoma/therapy ; Adult ; Aged ; Aged, 80 and over ; Antineoplastic Agents/therapeutic use ; Chemotherapy, Adjuvant ; Female ; Gastrectomy ; Humans ; Male ; Middle Aged ; Organoplatinum Compounds/therapeutic use ; Oxaliplatin ; Postoperative Period ; Retrospective Studies ; Stomach Neoplasms/classification ; Stomach Neoplasms/therapy ; Taxoids/therapeutic use ; Treatment Outcome
    Chemical Substances Antineoplastic Agents ; Organoplatinum Compounds ; Taxoids ; Oxaliplatin (04ZR38536J)
    Language English
    Publishing date 2016-02-05
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 80184-7
    ISSN 1536-5964 ; 0025-7974
    ISSN (online) 1536-5964
    ISSN 0025-7974
    DOI 10.1097/MD.0000000000002785
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

To top