Classification of gastric carcinoma using the goseki system provides prognostic information additional to TNM staging

Cancer ◽  
2000 ◽  
Vol 88 (10) ◽  
pp. 2426-2427 ◽  
Author(s):  
Giovanni de Manzoni ◽  
Giuseppe Verlato
Keyword(s):  
Gastric Carcinoma ◽  
Tnm Staging ◽  
Prognostic Information

scholarly journals Classification of gastric carcinoma using the Goseki system provides prognostic information additional to TNM staging

Cancer ◽  
1999 ◽  
Vol 85 (10) ◽  
pp. 2114-2118 ◽  
Author(s):  
Ilfet Songun ◽  
Cornelis J. H. van de Velde ◽  
Jan W. Arends ◽  
Paul Blok ◽  
A. Joris K. Grond ◽  
...  
Keyword(s):  
Gastric Carcinoma ◽  
Tnm Staging ◽  
Prognostic Information

scholarly journals Prognostic information of gastric carcinoma using Goseki system in relation to nuclear organizer region (AgNOR) and proliferating cell nuclear antigen (PCNA) expression

2010 ◽  
Vol 9 (2) ◽  
pp. 76-86 ◽  
Author(s):  
Sulekha Gosh ◽  
Tapan Kumar Ghosh ◽  
Nikhilesh Dewasi ◽  
Krishnendu Das
Keyword(s):  
Gastric Carcinoma ◽  
Rank Order ◽  
Organizer Region ◽  
Medical Science ◽  
Nuclear Antigen ◽  
Grading System ◽  
Prognostic Information ◽  
Agnor Count ◽  
Chi Squared

Objective: The present study was undertaken to find out the relationship of Goseki grading system (I-IV) with existing classification of WHO, Lauren and tumour differentiation of gastric carcinoma and its prognostic information in relation to AgNOR & PCNA expression. Materials and methods: To assess the reproducibility and usefulness of Goseki grading system thirty five gastric carcinoma were selected from January 2007 to July 2009 in the department of Pathology, Burdwan Medical College in West Bengal, India and analyzed in relation to existing grading system by chi-squared testing. Mean AgNOR count & mean PCNA leveling index quantities of different tissue sections were assessed according to different classification system of gastric carcinoma and interobserver variations of all data were evaluated from Spearman Rank-order Correlation Coefficient (rs ). Results: Highly significant predictable correlation of Goseki grading system for existing classification of gastric carcinoma was obtained statistically. Increasing values of mean AgNOR count and PCNA leveling index (2.35% & 15.14%, 2.91% & 21.32%, 3.08 %& 24.76% and 3.2% & 25.12 respectively) were observed from Grade I – IV of Goseki grade. Mucin rich (3.05% & 23.22%) and tubule poor (3.14% & 24.76%) tumours higher values than mucin poor (2.71% & 19.95%) and tubule rich (2.63% & 18.23%) tumors. No significant correlations were observed in other grading system. Conclusion: Following Goseki grading system increasing expression of proliferating marker in mucin rich than mucin poor tumours and tubules poor than tubules rich tumors indicate poor prognosis and tumour behavior. Simple system may help to select patients for adjuvant therapy. Key words: Goseki grade; gastric carcinoma; AgNOR; PCNA. DOI: 10.3329/bjms.v9i2.5655Bangladesh Journal of Medical Science Vol.09 No.2 Apr 2010 pp.76-86

A simple classification of lymph node level in gastric carcinoma

1995 ◽  
Vol 169 (4) ◽  
pp. 382-385 ◽  
Author(s):  
Yosuke Adachi ◽  
Tatsuo Oshiro ◽  
Toshiro Okuyama ◽  
Tatsuro Kamakura ◽  
Masaki Mori ◽  
...  
Keyword(s):  
Lymph Node ◽  
Gastric Carcinoma ◽  
Simple Classification ◽  
Node Level

scholarly journals Molecular genetic changes in gastric carcinoma

2021 ◽  
Vol 6 ◽  
pp. 30-46
Author(s):  
Juhi Singh ◽  
Puneet Kumar ◽  
Khushi Verma ◽  
Satyender Kumar Tiwary ◽  
Gopeshwar Narayan ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Gastric Carcinoma ◽  
Wide Spectrum ◽  
Molecular Genetic ◽  
Survival Rates ◽  
High Throughput Analysis ◽  
Genetic Changes ◽  
Genetic Level ◽  
New Biomarkers

Gastric cancer remains highly prevalent and accounts for a notable proportion of global cancer mortality and this is associated with poor survival rates. Understanding the molecular genetic changes of gastric carcinoma may offer an insight into its pathogenesis helps in identifying new biomarkers, aid prognostication, and novel treatment targets. Over a past few decades, advances in technology and high throughput analysis have improved understanding of the molecular genetic aspects of gastric cancer. In this article, hierarchy of the changes at genetic and molecular level including several aspects which are heterogenous and represents a wide spectrum such as tumor suppressor genes, oncogenes, cellcycle regulators, apoptosis, cell-adhesion molecules, loss of heterozygosity, microsatellite instability, and epigenetic changes. The classification of gastric carcinoma at molecular and genetic level as well as hereditary gastric carcinoma is elaborated. The molecular genetic aspects regarding pathogenesis, changes and aberrations of all genes and pathways which are involved in gastric cancer are addressed in this review.

Áp dụng hóa bảng phân loại của ST GALLEN 2013 trong phân nhóm phân tử ung thư vú biểu mô tuyến vú

2020 ◽  
Author(s):  
Chu Nguyen Van
Keyword(s):  
Breast Cancer ◽  
Adjuvant Therapy ◽  
Cancer Patients ◽  
Molecular Classification ◽  
Breast Cancer Patients ◽  
Luminal A ◽  
Prognostic Information ◽  
Patient Groups

Molecular classification of breast cancer is target to category patient groups who need to treat by the appropriate adjuvant therapy and provide more exact prognostic information. Purpose: Determining the proportion of molecular types and commenting on some association with clinicpathological characteristics of breast cancer. Methods: 521 operated breast cancer patients were stained by immunohistochemistry with markes such as: ER, PR, HER2, and Ki67 for classifying into 5 molecular categories and follow up assessment. Results: Type LUMBH- accounted for the highest proportion of 26.5%, followed by luminal A (22.5%). Typically, LUMA was the highest rate in good NPI (35.0%), whereas in poor NPI group, HER2 type was the highest rate (36.4%) (p<0.001). The LUMBH - group has the OS rate during the 5-year follow-up of 94.6% and LUMA is 93.5%; In contrast, the HER2 group showed the lowest OS ratio (72.6%) (p<0.05). Conclusion: Molecular classification of breast cancer according to St Gallen 2013 classification can provide the important information for treatment and prognosis.

The Prognostic Relevance of the New 8th Edition of the Union for International Cancer Control Classification of TNM Staging for Ampulla of Vater Carcinoma

2019 ◽  
Vol 26 (6) ◽  
pp. 1639-1648 ◽  
Author(s):  
Taisuke Imamura ◽  
Yusuke Yamamoto ◽  
Teiichi Sugiura ◽  
Yukiyasu Okamura ◽  
Takaaki Ito ◽  
...  
Keyword(s):  
Cancer Control ◽  
Ampulla Of Vater ◽  
Tnm Staging ◽  
Prognostic Relevance ◽  
8Th Edition

scholarly journals EEG in Epilepsy: Current Perspectives

1999 ◽  
Vol 26 (4) ◽  
pp. 255-262 ◽  
Author(s):  
M. Sundaram ◽  
R.M. Sadler ◽  
G.B. Young ◽  
N. Pillay
Keyword(s):  
Supporting Evidence ◽  
Prognostic Information ◽  
Seizure Focus ◽  
Continuous Eeg ◽  
Diagnostic Role ◽  
Antiepileptic Drug Withdrawal ◽  
Electroencephalogram Eeg ◽  
Established Role ◽  
Clinical Eeg

The electroencephalogram (EEG) plays an important diagnostic role in epilepsy and provides supporting evidence of a seizure disorder as well as assisting with classification of seizures and epilepsy syndromes. Emerging evidence suggests that the EEG may also provide useful prognostic information regarding seizure recurrence after a single unprovoked attack and following antiepileptic drug withdrawal. Continuous EEG video telemetry monitoring has an established role in the diagnosis of non-epileptic pseudo-seizures and in localizing the seizure focus for epilepsy surgery. Newer tools such as EEG mapping and magneto-encephalogram, although still investigational, appear potentially useful for defining the seizure focus in epilepsy. This review examines the traditional concepts of clinical EEG in the light of newly available data.

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