ATG9A Is Overexpressed in Triple Negative Breast Cancer and Its In Vitro Extinction Leads to the Inhibition of Pro-Cancer Phenotypes

Claude-Taupin, Aurore; Fonderflick, Leïla; Gauthier, Thierry; Mansi, Laura; Pallandre, Jean-René; Borg, Christophe; Pérez, Valérie; Monnien, Franck; Algros, Marie‐Paule; Vigneron, Marc; Adami, Pascale; Delage-Mourroux, Régis; Peixoto, Paul; Herfs, Michaël; Boyer-Guittaut, Michaël; Hervouet, Éric

doi:10.3390/cells7120248

Cited by 20 publications

(12 citation statements)

References 36 publications

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“…In contrast to our study, decreased beclin-1 expression was observed in seventy percent of the breast tumors, and the protein levels were co-related to the mRNA levels [14]. However, Claude-Taupin, et al, [15] reported that no major difference in beclin-1 mRNA expression between tumor and healthy adjacent tissues. The current study revealed that TGF-β was significantly increased in breast carcinoma patients compared to control group (P value< 0.001) and this finding is affirmed by Ciftci, et al, [16] who have studied the expression level of TGF-β and established that the mean serum TGF-β level of breast cancer patients was considerably higher than controls.…”

Section: Correlation Between Beclin-1 and Tgf-β Expression Levelscontrasting

confidence: 99%

Diagnostic Significance of Beclin-1 and Transforming Growth Factor β in Breast Cancer

Elshaer

Rashed

Hamid

2019

JCTI

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Background: The main cause of cancer deaths amongst women breast cancer remains a clinical and social challenge, and a serious public health problem. On a worldwide level, it continues to be a devastating disorder.BECN1 is a tumor suppressor gene implicated in the initiation of autophagy. It encodes beclin-1 protein that inhibits cancer growth. There is wide disputation concerning its role in initiation, promotion of tumor and predictive importance of autophagic molecules. Transforming growth factor β (TGF-β) induces process of epithelial-mesenchymal transition (EMT) keeping, epithelial cells more motile and invasive resulting in cancer progression and metastasis. Aim: Detection of beclin-1 expression level in metastatic and non-metastatic breast cancer patients and study its role in tumorigenesis of breast cancer through attainable association with the inflammatory cytokine, TGF-β. Methods: Expression levels of beclin-1 and TGF-β were assessed in 70 breast cancer female patients and 20 controls using quantitative real-time PCR. Results: Beclin-1 expression levels as well as TGF-β were significantly higher in metastatic breast cancer patients and non-metastatic patients compared to controls. Positive correlation was found between beclin-1 expression level and TGF-β expression level in breast cancer patients. Conclusion: Our results indicated that over-expression of both beclin-1 and TGF-β was associated with aggressive clinical outcomes of breast cancer patients and tumor growth. These findings suggest that beclin-1 and TGF-β are associated with tumorigenesis of breast cancer.

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Section: Correlation Between Beclin-1 and Tgf-β Expression Levelscontrasting

confidence: 99%

Diagnostic Significance of Beclin-1 and Transforming Growth Factor β in Breast Cancer

Elshaer

Rashed

Hamid

2019

JCTI

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“…ATG9B regulates cell autophagy process and if increased it can promote cell survival and proliferation of different types of neoplasms, such as renal cancer, breast cancer, cervical cancer, etc. [42][43][44]. Therefore, autophagy alteration could be an additional mechanism through which C-reactive protein can possibly promote endometrial cancer development and progression.…”

Section: Increased Crp As a Bad Prognostic Sign -Potential Mechanismmentioning

confidence: 99%

C-reactive Protein as a Diagnostic and Prognostic Factor of Endometrial Cancer

Socha¹,

Malinowski²,

Wartęga³

et al. 2020

Preprint

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Endometrial Cancer (EC) is the sixth most commonly occurring cancer in women with 380 000 cases in 2018. Sadly, EC morbidity and mortality are continuously increasing, therefore the medical society have a substantial need for an accurate and inexpensive diagnostic test for EC early detection and a prognostic tool for treatment planning and evaluation. Considering experience with different types of cancers C-reactive protein (CRP) appears to be a promising diagnostic and prognostic factor. Aiming to investigate its potential and in view of EC authors, this paper reviewed the following databases for metanalysis, randomized controlled trials and review articles published up to June 2020: Pubmed, Scopus, Google scholar and ClinicalKey. Studies indicate CRP >3.33 mg/l correlate with EC incidence with HR = 2.29 (p<0.05). Moreover, High-sensitivity CRP assay allows to detect CRP in very low concentrations and distinguish patients with endometriosis, soft tissue sarcomas and possibly EC. Preoperational and postoperational CRP, as well as its dynamic change are independent prognostic factors for EC and are more reliable if analyzed together. However, CRP-to-albumin ratio as well as Glasgow Prognostic Scale have greater prognostic value that CRP alone. Additionally, CRP is possibly a mediator of carcinogenesis and cancer progression through activation of inter alia FcgRs/MAPK/ERK, FcgRs/IL-6/AKT/STAT3 and FcgRs/NF-κB/NLRP3 pathways.

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“…Several ARGs have been shown involved in pathogenesis of breast cancer. ATG9B has lower expression level in invasive breast tumors than matched normal tissues ( Claude-Taupin et al, 2018 ; Zhang et al, 2016 ). ATG9A inhibition led to an inhibition of in vitro cancer features ( Claude-Taupin et al, 2018 ).…”

Section: Discussionmentioning

confidence: 96%

“…ATG9B has lower expression level in invasive breast tumors than matched normal tissues ( Claude-Taupin et al, 2018 ; Zhang et al, 2016 ). ATG9A inhibition led to an inhibition of in vitro cancer features ( Claude-Taupin et al, 2018 ). GABARAPL1, as a tumor suppressor protein in breast cancer, is associated with a better outcome for patients with lymph node-positive breast cancer ( Berthier et al, 2010 ; Poillet-Perez et al, 2017 ).…”

Section: Discussionmentioning

confidence: 96%

Identification and validation of prognostic signature for breast cancer based on genes potentially involved in autophagy

Zhong

Chen

Yang

et al. 2020

PeerJ

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We aimed to identify prognostic signature based on autophagy-related genes (ARGs) for breast cancer patients. The datasets of breast cancer were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). Least absolute shrinkage and selection operator (LASSO) Cox regression was conducted to construct multiple-ARG risk signature. In total, 32 ARGs were identified as differentially expressed between tumors and adjacent normal tissues based on TCGA. Six ARGs (IFNG, TP63, PPP1R15A, PTK6, EIF4EBP1 and NKX2-3) with non-zero coefficient were selected from the 32 ARGs using LASSO regression. The 6-ARG signature divided patients into high-and low-risk group. Survival analysis indicated that low-risk group had longer survival time than high-risk group. We further validated the 6-ARG signature using dataset from GEO and found similar results. We analyzed the associations between ARGs and breast cancer survival in TCGA and nine GEO datasets, and obtained 170 ARGs with significant associations. EIF4EBP1, FOS and FAS were the top three ARGs with highest numbers of significant associations. EIF4EBP1 may be a key ARG which had a higher expression level in patients with more malignant molecular subtypes and higher grade breast cancer. In conclusion, our 6-ARG signature was of significance in predicting of overall survival of patients with breast cancer. EIF4EBP1 may be a key ARG associated with breast cancer survival.

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ATG9A Is Overexpressed in Triple Negative Breast Cancer and Its In Vitro Extinction Leads to the Inhibition of Pro-Cancer Phenotypes

Cited by 20 publications

References 36 publications

Diagnostic Significance of Beclin-1 and Transforming Growth Factor β in Breast Cancer

Diagnostic Significance of Beclin-1 and Transforming Growth Factor β in Breast Cancer

C-reactive Protein as a Diagnostic and Prognostic Factor of Endometrial Cancer

Identification and validation of prognostic signature for breast cancer based on genes potentially involved in autophagy

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