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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1947 1
1951 5
1952 1
1961 2
1962 3
1964 4
1965 3
1966 3
1967 1
1968 2
1969 3
1971 4
1972 2
1973 4
1974 1
1976 2
1977 3
1978 3
1979 4
1980 4
1981 6
1982 6
1983 1
1984 5
1985 8
1986 12
1987 13
1988 18
1989 20
1990 10
1991 30
1992 23
1993 29
1994 36
1995 35
1996 35
1997 43
1998 46
1999 42
2000 50
2001 49
2002 53
2003 64
2004 57
2005 65
2006 80
2007 73
2008 79
2009 104
2010 134
2011 112
2012 174
2013 237
2014 221
2015 317
2016 354
2017 366
2018 417
2019 449
2020 493
2021 535
2022 516
2023 562
2024 179

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5,430 results

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The following term was not found in PubMed: 20Manzione
Page 1
Dissecting transcriptional heterogeneity in primary gastric adenocarcinoma by single cell RNA sequencing.
Zhang M, Hu S, Min M, Ni Y, Lu Z, Sun X, Wu J, Liu B, Ying X, Liu Y. Zhang M, et al. Gut. 2021 Mar;70(3):464-475. doi: 10.1136/gutjnl-2019-320368. Epub 2020 Jun 12. Gut. 2021. PMID: 32532891 Free PMC article.
Among them, three subgroups exhibited different differentiation grade which corresponded well to histopathological features of Lauren's subtypes. Interestingly, the other two subgroups displayed unique transcriptome features. ...
Among them, three subgroups exhibited different differentiation grade which corresponded well to histopathological features of Lauren
Molecular Classification of Gastric Adenocarcinoma.
Wang Q, Liu G, Hu C. Wang Q, et al. Gastroenterology Res. 2019 Dec;12(6):275-282. doi: 10.14740/gr1187. Epub 2019 Nov 21. Gastroenterology Res. 2019. PMID: 31803306 Free PMC article. Review.
The traditional morphology-based classification systems including the World Health Organization (WHO) classification and the Lauren's classification have a limited utility in guiding clinical treatment due to the molecular heterogeneity of GC. ...
The traditional morphology-based classification systems including the World Health Organization (WHO) classification and the Lauren' …
Clinicopathological Variation of Lauren Classification in Gastric Cancer.
Chen YC, Fang WL, Wang RF, Liu CA, Yang MH, Lo SS, Wu CW, Li AF, Shyr YM, Huang KH. Chen YC, et al. Pathol Oncol Res. 2016 Jan;22(1):197-202. doi: 10.1007/s12253-015-9996-6. Epub 2015 Oct 27. Pathol Oncol Res. 2016. PMID: 26502923 Free article.
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. ...
Lauren's classification is an independent prognostic factor in gastric cancer patient undergoing gastrectomy. Lauren'
Lauren classification and individualized chemotherapy in gastric cancer.
Ma J, Shen H, Kapesa L, Zeng S. Ma J, et al. Oncol Lett. 2016 May;11(5):2959-2964. doi: 10.3892/ol.2016.4337. Epub 2016 Mar 16. Oncol Lett. 2016. PMID: 27123046 Free PMC article.
During the last 50 years, the histological classification of gastric carcinoma has been largely based on Lauren's criteria, in which gastric cancer is classified into two major histological subtypes, namely intestinal type and diffuse type adenocarcinoma. ...The aim …
During the last 50 years, the histological classification of gastric carcinoma has been largely based on Lauren's criteria, in …
Preoperative prediction of Lauren classification in gastric cancer: a radiomics model based on dual-energy CT iodine map.
Li M, Qin H, Yu X, Sun J, Xu X, You Y, Ma C, Yang L. Li M, et al. Insights Imaging. 2023 Jul 16;14(1):125. doi: 10.1186/s13244-023-01477-8. Insights Imaging. 2023. PMID: 37454355 Free PMC article.
RESULTS: Gender and maximum tumor thickness were independent predictors of Lauren classification and were used to build a clinical model. Separately establish IM-radiomics (R-IM), mixed radiomics (R-MIX), and combined IM + MIX image radiomics (R-COMB) models. ...CONCLUSION …
RESULTS: Gender and maximum tumor thickness were independent predictors of Lauren classification and were used to build a clinical mo …
Perceived number is not abstract.
Aulet LS, Lourenco SF. Aulet LS, et al. Behav Brain Sci. 2021 Dec 15;44:e179. doi: 10.1017/S0140525X21001102. Behav Brain Sci. 2021. PMID: 34907877
Metabolism-associated molecular classification of gastric adenocarcinoma.
Ye Y, Yang W, Ruan X, Xu L, Cheng W, Zhao M, Wang X, Chen X, Cai D, Li G, Wang Y, Yan F, Lu X, Jiang L. Ye Y, et al. Front Oncol. 2022 Nov 16;12:1024985. doi: 10.3389/fonc.2022.1024985. eCollection 2022. Front Oncol. 2022. PMID: 36465405 Free PMC article.
However, traditional morphology-based classification systems, including the WHO classification and Lauren's classification, have limited utility in guiding clinical treatment. ...
However, traditional morphology-based classification systems, including the WHO classification and Lauren's classification, ha …
Preoperative prediction for lauren type of gastric cancer: A radiomics nomogram analysis based on CT images and clinical features.
Sun Z, Jin L, Zhang S, Duan S, Xing W, Hu S. Sun Z, et al. J Xray Sci Technol. 2021;29(4):675-686. doi: 10.3233/XST-210888. J Xray Sci Technol. 2021. PMID: 34024809 Clinical Trial.
PURPOSE: To investigate feasibility of predicting Lauren type of gastric cancer based on CT radiomics nomogram before operation. ...CONCLUSION: The nomogram combining radiomics signature and clinical features is a useful tool with the increased value to predict Lauren
PURPOSE: To investigate feasibility of predicting Lauren type of gastric cancer based on CT radiomics nomogram before operation. ...C …
5,430 results