scholarly journals Oncogene-mediated metabolic gene signature predicts breast cancer outcome

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Merve Aslan ◽  
En-Chi Hsu ◽  
Fernando J. Garcia-Marques ◽  
Abel Bermudez ◽  
Shiqin Liu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Triple Negative Breast Cancer ◽  
Triple Negative ◽  
Gene Signature ◽  
The United States ◽  
Breast Cancer Patients ◽  
Metabolic Gene ◽  
Metabolic Signature ◽  
Breast Cancer Outcome ◽  
Cancer Outcome

AbstractBreast cancer remains the second most lethal cancer among women in the United States and triple-negative breast cancer is the most aggressive subtype with limited treatment options. Trop2, a cell membrane glycoprotein, is overexpressed in almost all epithelial cancers. In this study, we demonstrate that Trop2 is overexpressed in triple-negative breast cancer (TNBC), and downregulation of Trop2 delays TNBC cell and tumor growth supporting the oncogenic role of Trop2 in breast cancer. Through proteomic profiling, we discovered a metabolic signature comprised of TALDO1, GPI, LDHA, SHMT2, and ADK proteins that were downregulated in Trop2-depleted breast cancer tumors. The identified oncogene-mediated metabolic gene signature is significantly upregulated in TNBC patients across multiple RNA-expression clinical datasets. Our study further reveals that the metabolic gene signature reliably predicts poor survival of breast cancer patients with early stages of the disease. Taken together, our study identified a new five-gene metabolic signature as an accurate predictor of breast cancer outcome.

Peritumoural vascular invasion: A major determinant of triple-negative breast cancer outcome

2011 ◽  
Vol 47 (10) ◽  
pp. 1537-1545 ◽  
Author(s):  
Renaud Sabatier ◽  
Jocelyne Jacquemier ◽  
François Bertucci ◽  
Benjamin Esterni ◽  
Pascal Finetti ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Triple Negative Breast Cancer ◽  
Vascular Invasion ◽  
Triple Negative ◽  
Major Determinant ◽  
Breast Cancer Outcome ◽  
Cancer Outcome

Triple Negative Breast Cancer: Outcome Correlation With Immunohistochemical Detection of Basal Markers

2010 ◽  
Vol 34 (7) ◽  
pp. 956-964 ◽  
Author(s):  
Aye Aye Thike ◽  
Jabed Iqbal ◽  
Poh Yian Cheok ◽  
Angela Phek Yoon Chong ◽  
Gary Man-Kit Tse ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Triple Negative Breast Cancer ◽  
Triple Negative ◽  
Immunohistochemical Detection ◽  
Breast Cancer Outcome ◽  
Cancer Outcome

Molecular characteristics and metastasis predictor genes of triple-negative breast cancer.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 1043-1043
Author(s):  
Wen-Hung Kuo ◽  
Yao-Yin Chang ◽  
Ming-Feng Hou ◽  
Eric Y Chuang ◽  
King-Jen Chang
Keyword(s):  
Breast Cancer ◽  
Triple Negative Breast Cancer ◽  
Triple Negative ◽  
Early Stage ◽  
Gene Signature ◽  
Breast Cancers ◽  
Prognostic Signature ◽  
Characteristic Analysis ◽  
Disease Etiology ◽  
Breast Cancer Outcome

1043 Background: Triple-negative breast cancer(TNBC) is a subtype of breast cancer with aggressive tumor behavior and distinct disease etiology. Due to the lack of an effective targeted medicine, treatment options for triple-negative breast cancer are few and recurrence rates are high. Although various multi-gene prognostic markers have been proposed for the prediction of breast cancer outcome, most of them were proven clinically useful only for estrogen receptor-positive breast cancers. Reliable identification of triple-negative patients with a favorable prognosis is not yet possible. Methods: Clinicopathological information and microarray data from 157 invasive breast carcinomas were collected at National Taiwan University Hospital from 1995 to 2008. Gene expression data of 51 triple-negative and 106 luminal breast cancers were generated with oligonucleotide microarrays. A prognostic 45-gene signature for triple-negative breast cancer was identified using Student’s t test and receiver operating characteristic analysis. Results: Hierarchical clustering analysis revealed that the majority (94%) of triple-negative breast cancers were tightly clustered together carrying strong basal-like characteristics. A novel 45-gene signature giving 98% predictive accuracy in distant metastasis recurrence was identified in our triple-negative patient cohort. External validation of the prognostic signature in an independent microarray dataset of 59 early-stage triple-negative patients also obtained statistical significance (hazard ratio 2.29, 95% CI 1.04-5.06, Cox P = 0.04), outperforming five other published breast cancer prognostic signatures. The prognostic signature was statistically predictive with the node-negative triple-negative patients in the validation cohort. Conclusions: The 45-gene prognostic signature identified in this study revealed that TGF-β signaling in immune/inflammatory regulation may be critically involved in distant metastatic invasion of TNBC. The 45-gene signature, if further validated, may be a clinically useful tool in risk assessment of metastasis recurrence for early-stage triple-negative patients.

scholarly journals A gene signature predicts response to neoadjuvant chemotherapy in triple-negative breast cancer patients

2019 ◽  
Vol 39 (5) ◽  
Author(s):  
Tianzhi Zheng ◽  
Zhiyuan Pang ◽  
Zhao Zhao
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Neoadjuvant Chemotherapy ◽  
Triple Negative Breast Cancer ◽  
Triple Negative ◽  
Characteristic Curve ◽  
Complete Response ◽  
Gene Signature ◽  
Differentially Expressed ◽  
Breast Cancer Patients

Abstract Triple-negative breast cancer (TNBC) accounts for approximately 15% of all breast cancer cases. TNBC is highly aggressive and associated with poor prognosis. The present study aimed to compare gene expression between TNBC patients with pathological complete response (pCR) and those with not complete response (nCR) to neoadjuvant chemotherapy. Microarray data of 16 TNBC patients received neoadjuvant chemotherapy were identified from the Gene Expression Omnibus database and 10 patients of them had pCR. We found that 250 coding genes and 155 long noncoding RNAs (lncRNAs) were statistically differentially expressed between patients with pCR and nCR. Receiver operator characteristic curve and area under the curve (AUC) were calculated to assess predictive value of differentially expressed genes. A gene signature of three coding genes and two lncRNA was developed: 2.318*TCF3 + 7.349*CREB1 + 0.891*CEP44 + 0.091*NR_023392.1 + 1.424*NR_048561.1 − 106.682. The gene signature was further validated and had an AUC = 0.829. In summary, we profiled gene expression in pCR patients and developed a gene signature, which was effective to predict pCR among TNBC patients received neoadjuvant chemotherapy.

scholarly journals A Prognostic Gene Signature for Metastasis-Free Survival of Triple Negative Breast Cancer Patients

PLoS ONE ◽  
2013 ◽  
Vol 8 (12) ◽  
pp. e82125 ◽  
Author(s):  
UnJin Lee ◽  
Casey Frankenberger ◽  
Jieun Yun ◽  
Elena Bevilacqua ◽  
Carlos Caldas ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Triple Negative Breast Cancer ◽  
Triple Negative ◽  
Gene Signature ◽  
Breast Cancer Patients ◽  
Free Survival ◽  
Prognostic Gene ◽  
Prognostic Gene Signature
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