Application of St Gallen Categories in Predicting Survival for Patients With Breast Cancer in Vietnam

Nguyen, Van Chu; Vu, Truong V.; Phung, Thi Huyen; Nguyen, Thi Phuong Hoa; Nguyen, Ngoc Duong; Le, Dinh Roanh

doi:10.1177/1073274819862794

Cited by 9 publications

(10 citation statements)

References 35 publications

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“…This result is logical according to one study showing that the breast cancer incidence in Vietnamese women was highest at the age of 50[21]. Meanwhile, the overall survival rate for breast cancer patients was 85.01 ± 1.61 months[28]. Similarly, according to a study investigating the breast cancer mortality rate in China during 1991 -2011 showing that breast cancer usually occurs post-puberty, and its incidence increases slowly from 30 years old, reaching a peak at the ages of 40-60, and the first death peak occurring at 55 to 65 years[20].…”

mentioning

confidence: 77%

"Premature Mortality due to Breast Cancer in a Mountainous Province of Vietnam from 2005 to 2018"

2022

BJSTR

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confidence: 77%

"Premature Mortality due to Breast Cancer in a Mountainous Province of Vietnam from 2005 to 2018"

2022

BJSTR

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“…Identifying and identifying different subtypes of gastric cancer samples at these molecular levels can not only help people understand the disease at the root, but also help doctors choose the best medicine [24]. Treatment options predict the survival of different patients and identify high-risk factors associated with specific subtypes [25]. The purpose of this study is to expect to obtain gastric cancer subtypes that are related to gastric cancer biology and clinical data at the gene expression level and methylation level, and use the information gene to establish a classifier at the molecular level to predict the class assignment of new samples.…”

Section: Discussionmentioning

confidence: 99%

DNA methylation data-based molecular subtype classification and prediction in patients with gastric cancer

et al. 2020

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Background: Genetic and epigenetic alterations have been indicated to be closely correlated with the carcinogenesis, DNA methylation is one of most frequently occurring molecular behavior that take place early during this complicated process in gastric cancer (GC). Methods: In this study, 398 samples were collected from the cancer genome atlas (TCGA) database and were analyzed, so as to mine the specific DNA methylation sites that affected the prognosis for GC patients. Moreover, the 23,588 selected CpGs that were markedly correlated with patient prognosis were used for consistent clustering of the samples into 6 subgroups, and samples in each subgroup varied in terms of M, Stage, Grade, and Age. In addition, the levels of methylation sites in each subgroup were calculated, and 347 methylation sites (corresponding to 271 genes) were screened as the intrasubgroup specific methylation sites. Meanwhile, genes in the corresponding promoter regions that the above specific methylation sites were located were performed signaling pathway enrichment analysis. Results: The specific genes were enriched to the biological pathways that were reported to be closely correlated with GC; moreover, the subsequent transcription factor enrichment analysis discovered that, these genes were mainly enriched into the cell response to transcription factor B, regulation of MAPK signaling pathways, and regulation of cell proliferation and metastasis. Eventually, the prognosis prediction model for GC patients was constructed using the Random Forest Classifier model, and the training set and test set data were carried out independent verification and test. Conclusions: Such specific classification based on specific DNA methylation sites can well reflect the heterogeneity of GC tissues, which contributes to developing the individualized treatment and accurately predicting patient prognosis.

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“…Thus, this requires an essential demand for the application of the appropriate treatment protocols, which are used in Vietnam for managing patients with BC. 19 Therefore, to comprehensively decipher the role of AR in BC, the current study was investigated to define the AR expression and AR:ER ratio, and explored their correlation with the clinicopathological features, prognosis, and survival outcomes in the various subclasses of invasive BC.…”

Section: Introductionmentioning

confidence: 99%

Impact of Androgen Receptor Expression and the AR:ER Ratio on the Survival Outcomes in the Diverse Subgroups of Vietnamese Breast Cancer: A Single Institutional Retrospective Cohort Analysis

Phung

Nguyen

Thi

et al. 2022

Technol Cancer Res Treat

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Background: The androgen receptor (AR) has recently emerged as a useful marker for the more favorable prognosis and better outcomes among women with estrogen receptor (ER) + ve breast cancer (BC) and the further refinement of BC subtype. Furthermore, AR expression in ER − ve tumors has a particular prognostic significance. Additionally, the ratio of nuclear AR to ER may critically have an influence on tumor biology and respond to endocrine therapy. Purpose: To define the AR expression and AR:ER ratio, and explored their correlation with the clinicopathological features, prognosis, and survival outcomes in the various subclasses of invasive BC. Methods: The current study was conducted on 522 BC patients who had surgical operations, without neoadjuvant chemotherapy by applying a retrospective cohort analysis. The clinicopathological characteristics were recorded. Immunohistochemical staining was performed on AR, ER, PR, HER2, and Ki67. Expression of AR was paired into different immunophenotypes for analysis with clinicopathological features and survival. All BC patients’ survival was analyzed using Kaplan–Meier and log-rank models. Results: The presence of AR was detected in 65.3%. Positive AR, the ratio of AR:ER<2, luminal androgen receptor (LAR) + and AR + HER2 + immunophenotypes were significantly associated with better prognostic features. AR:ER<2 was observed in the prolonged overall survival (OS) and disease-free survival (DFS) (87.9 and 86.2%, respectively) compared to AR:ER≥2 (25.0% in both) ( P < .001). In contrast, in HR + ve BCs, the AR expression was not significantly correlated with survival. The multivariate model revealed that the ratio of nuclear AR to ER remained as an independent prognostic variable. Conclusion: The AR expression had a distinct OS and DFS. The AR:ER ratio is an independent indicator for predicting the OS and DFS of BC patients in both univariate and multivariate analyses.

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Application of St Gallen Categories in Predicting Survival for Patients With Breast Cancer in Vietnam

Cited by 9 publications

References 35 publications

"Premature Mortality due to Breast Cancer in a Mountainous Province of Vietnam from 2005 to 2018"

"Premature Mortality due to Breast Cancer in a Mountainous Province of Vietnam from 2005 to 2018"

DNA methylation data-based molecular subtype classification and prediction in patients with gastric cancer

Impact of Androgen Receptor Expression and the AR:ER Ratio on the Survival Outcomes in the Diverse Subgroups of Vietnamese Breast Cancer: A Single Institutional Retrospective Cohort Analysis

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