Guest Editors
Wenwen Zhang
Department of Oncology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
wwzhang1022@hotmail.com
Xiaoxiang Guan
Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
xguan@njmu.edu.cn
Summary
Breast cancer is one of the most common malignancies, and its incidence is the highest among female cancers. Recent studies have shown that breast cancer cases has surpassed lung cancer as the most prevalent malignancy worldwide in 2020. In the early stages of breast cancer, surgery can achieve a good therapeutic outcome or even complete cure. However, due to the insidious onset and rapid progression of breast cancer, some patients are diagnosed even when the tumor has progressed to the middle and late stages, missing the best time for surgical treatment. Therefore, effective biomarkers for breast cancer diagnosis are urgently needed.
In recent years, with the tremendous progress in molecular biology technology, the molecular mechanisms involved in the development of breast cancer have received sufficient attention and focused research. Researchers are screening new therapeutic biomarkers for breast cancer and exploring the molecular mechanisms underlying their effects on the biological properties of breast cancer. Currently, multiple molecules or signaling pathways that play key roles in breast cancer progression have been elucidated. Designing biologically precise therapies against these relevant targets or receptors can improve the killing power of drugs on breast cancer cells while reducing the damage to normal cells. These findings provide new perspectives and strategies for clinical individualized treatment of breast cancer.
In this topic, we aim to collect original research articles, reviews, mini-reviews, commentaries and opinions focused on the recent advances of predictive and prognostic biomarkers for breast cancer. Topics of interest include, but are not limited to:
1) Identification of novel biomarkers for breast cancer phenotyping and treatment option selection.
2) The molecular mechanism of biomarkers regulating the development of breast cancer.
3) Developing biomarkers-based diagnostics and therapeutics in breast cancer.
Keywords
Breast cancer, Biomarkers, Prognosis, Diagnosis, Targeted therapy
Published Papers
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Open Access
ARTICLE
Study on the Value of Ultrasound Elastography Combined with Plasma miRNA Expression in the Early Detection of Breast Cancer
Qian Zhang, Yuanyuan Cao, Mingming Fang, Qin Yang, Pingyang Zhang
Oncologie, Vol.24, No.4, pp. 717-727, 2022, DOI:10.32604/oncologie.2022.026998
（This article belongs to this Special Issue:
Biomarkers for Breast Cancer Diagnosis and Treatment Selection: from Basic Research to Practice)
Abstract Background: Breast cancer (BC) is the most common malignant tumor in women, and its morbidity and mortality are
increasing each year, due to the lack of specific clinical symptoms in the early stage of BC, and the lack of diagnostic
methods for early breast cancer. Therefore, identifying an effective diagnostic method for early BC has become urgent.
Materials and Methods: Breast lesions with a histological diagnosis that were examined by ultrasonic elastography
(UE) in our department from June 2020 to December 2021 were reviewed. qRT-PCR was performed to measure
the expression levels of miR-144-5p and miR-26b-5p in the plasma of…
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Open Access
ARTICLE
PD-1 Relevant Genes Predict the Prognosis of Breast Cancer and Their Prediction Effect in Tumor Response to Immunotherapy
Yu Xiao, Jianping Jiang, Yan Chen, Yi Huang, Changyuan Wei
Oncologie, Vol.24, No.4, pp. 729-742, 2022, DOI:10.32604/oncologie.2022.026118
（This article belongs to this Special Issue:
Biomarkers for Breast Cancer Diagnosis and Treatment Selection: from Basic Research to Practice)
Abstract Background: Immunotherapy is becoming a powerful approach in the treatment of breast cancer. However, high
response rates in the majority of breast cancer patients have yet to be achieved.
Materials and Methods: Based on public
data sources, we identified 22 genes that are correlated with PD-1 expression as well as differentially expressed between
tumor tissues and normal tissues, and high expression of all the key genes was correlated with a superior survival outcome.
Using the least absolute shrinkage and selection operator Cox regression model, a risk score was constructed.
Results: A
multivariate Cox analysis showed that the constructed risk score…
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Open Access
ARTICLE
Research on Clinical Effectiveness of Aspirin for Treating Breast Cancer and Cell Protein Biomarkers on Aspirin Treatment in Drug-Resistant Estrogen Receptor-Positive Breast Cancer Cells
Junwei Cui, Minghua Li, Ruifang Pang, Yinhua Liu
Oncologie, Vol.24, No.4, pp. 743-768, 2022, DOI:10.32604/oncologie.2022.025419
（This article belongs to this Special Issue:
Biomarkers for Breast Cancer Diagnosis and Treatment Selection: from Basic Research to Practice)
Abstract Background: Aspirin (ASA) has been reported to have an antitumor effect but the role of ASA in the prevention and treatment of breast cancer (BC) is still controversial. This study aimed to identify clinical effectiveness of ASA in the treatment of BC and explore the antitumor target proteins of ASA that may be involved in overcoming tamoxifen resistance in estrogen receptor (ER)-positive BC cells.
Materials and Methods: Randomized controlled trials (RCTs) of ASA in the treatment of BC were queried from the databases, including PubMed, Web of Science, Cochrane Library, WanFang, and Chinese National Knowledge Infrastructure. According to the quality…
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Open Access
ARTICLE
Identification of Circular RNA hsa-circ-0006969 as a Novel Biomarker for Breast Cancer
Libin Wang, Xiaohan Li, Jinhai Tian, Jingjing Yu, Qi Huang, Rong Ma, Jia Wang, Jia Cao, Jinping Li, Xu Zhang
Oncologie, Vol.24, No.4, pp. 789-801, 2022, DOI:10.32604/oncologie.2022.026589
（This article belongs to this Special Issue:
Biomarkers for Breast Cancer Diagnosis and Treatment Selection: from Basic Research to Practice)
Abstract Background: To investigate the characteristics of circular RNA hsa-circ-0006969 in breast cancer and identify it
as a novel biomarker for breast cancer.
Methods: Three breast cancer (BC) patient tissues were selected to perform human circRNA microarray analysis. GeneSpring 13.0 (Agilent) software was applied for analyzing the data.
Another 116 BC patients were recruited for verification. Hsa-circ-0006969 was found as a potential circRNA for
BC diagnostic biomarker. The structure of hsa-circ-0006969 was predicted by circPrimer1.2 software. MiRanda
v3.3, RNA hybrid 2.1, and Cytoscape 3.6.0 were used for predicting the networks of circRNA-miRNA. T-test,
Curve regression, and ROC analysis were applied to…
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Open Access
ARTICLE
A Metabolism-Related Gene Signature Predicts the Prognosis of Breast Cancer Patients: Combined Analysis of High-Throughput Sequencing and Gene Chip Data Sets
Lei Hu, Meng Chen, Haiming Dai, Hongzhi Wang, Wulin Yang
Oncologie, Vol.24, No.4, pp. 803-822, 2022, DOI:10.32604/oncologie.2022.026419
（This article belongs to this Special Issue:
Biomarkers for Breast Cancer Diagnosis and Treatment Selection: from Basic Research to Practice)
Abstract Background and Aim: Hundreds of consistently altered metabolic genes have been identified in breast cancer
(BC), but their prognostic value remains to be explored. Therefore, we aimed to build a prediction model based
on metabolism-related genes (MRGs) to guide BC prognosis.
Methods: Current work focuses on constructing a
novel MRGs signature to predict the prognosis of BC patients using MRGs derived from the Virtual Metabolic
Human (VMH) database, and expression profiles and clinicopathological data from The Cancer Genome Atlas
(TCGA) and Gene Expression Omnibus (GEO) databases.
Results: The 3-MRGs-signature constructed by SERPINA1, QPRT and PXDNL was found to be an…
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