scholarly journals RNA Sequence Profiling Reveals Unique Immune and Metabolic Features of Breast Cancer Brain Metastases

2021 ◽  
Vol 11 ◽  
Author(s):  
Limei Xiao ◽  
Jie Zhou ◽  
Hongyi Liu ◽  
Yuanyuan Zhou ◽  
Weibin Chen ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Cancer Patients ◽  
Breast Cancers ◽  
Breast Cancer Patients ◽  
Rna Sequence ◽  
Metabolic Analysis ◽  
Km Plotter ◽  
Breast Cancer Brain Metastases ◽  
Extracranial Metastases

There is an urgent need to improve our understanding of breast cancer brain metastases (BCBMs). Thus, we obtained transcriptome data of BCBMs, primary breast cancers (BCs), and extracranial metastases (BCEMs) from the Gene Expression Omnibus (GEO) database, including GSE43837, GSE14017, and GSE14018, for immune and metabolic analysis. Firstly, we performed immune and metabolic analysis on BCBMs and primary breast cancers of GSE43837 using RNA sequence. We identified significant immunosuppression and gene signatures associated with immune infiltration in BCBMs; the lower the expression of the signatures, the worse the prognosis of breast cancer patients in the Kaplan–Meier (KM) plotter [Breast cancer] database. We also identified increased oxidative phosphorylation (OXPHOS) utilization in BCBMs compared with BCs and gene signatures associated with increased OXPHOS utilization in BCBMs; the higher the expression of the signatures, the worse the prognosis of breast cancer patients in the KM plotter [Breast cancer] database, which can predict the prognosis of breast cancer patients better, as it can also predict the prognosis of patients with different breast cancer subtypes. In addition, we performed immune and metabolic analysis on BCBMs and extracranial metastases of GSE14017 and GSE14018 using RNA sequence. Compared with extracranial metastases, we identified more significant immunosuppression but no difference in OXPHOS utilization in BCBMs, which may be because OXPHOS was also involved in extracranial metastases. We have proven that OXPHOS was functionally significant in metastasis in vitro assays. Oligomycin, an OXPHOS inhibitor, substantially attenuated the migration and invasion potential of breast cancer cells. Our study provides new insights into the pathogenesis of BCBMs.SignificanceOur study reports the most comprehensive gene expression analysis of BCBMs, BCs and extracranial metastases to date. We identified immunosuppression and OXPHOS enrichment in BCBMs compared with BCs, which provide new insights into the pathogenesis of BCBMs and will facilitate the development of new therapeutic strategies for patients with BCBMs.

scholarly journals Association between the nucleosome footprint of plasma DNA and neoadjuvant chemotherapy response for breast cancer

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Xu Yang ◽  
Geng-Xi Cai ◽  
Bo-Wei Han ◽  
Zhi-Wei Guo ◽  
Ying-Song Wu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Neoadjuvant Chemotherapy ◽  
Cancer Patients ◽  
Cell Receptor ◽  
Chemotherapy Response ◽  
Breast Cancer Patients ◽  
Plasma Dna ◽  
Transcription Start Sites ◽  
Response To Chemotherapy

AbstractGene expression signatures have been used to predict the outcome of chemotherapy for breast cancer. The nucleosome footprint of cell-free DNA (cfDNA) carries gene expression information of the original tissues and thus may be used to predict the response to chemotherapy. Here we carried out the nucleosome positioning on cfDNA from 85 breast cancer patients and 85 healthy individuals and two cancer cell lines T-47D and MDA-MB-231 using low-coverage whole-genome sequencing (LCWGS) method. The patients showed distinct nucleosome footprints at Transcription Start Sites (TSSs) compared with normal donors. In order to identify the footprints of cfDNA corresponding with the responses to neoadjuvant chemotherapy in patients, we mapped on nucleosome positions on cfDNA of patients with different responses: responders (pretreatment, n = 28; post-1 cycle, post-3/4 cycles, and post-8 cycles of treatment, n = 12) and nonresponders (pretreatment, n = 10; post-1 cycle, post-3/4 cycles, and post-8 cycles of treatment, n = 10). The coverage depth near TSSs in plasma cfDNA differed significantly between responders and nonresponders at pretreatment, and also after neoadjuvant chemotherapy treatment cycles. We identified 232 TSSs with differential footprints at pretreatment and 321 after treatment and found enrichment in Gene Ontology terms such as cell growth inhibition, tumor suppressor, necrotic cell death, acute inflammatory response, T cell receptor signaling pathway, and positive regulation of vascular endothelial growth factor production. These results suggest that cfDNA nucleosome footprints may be used to predict the efficacy of neoadjuvant chemotherapy for breast cancer patients and thus may provide help in decision making for individual patients.

Is There a Bias Against Obese Patients in the Treatment of Breast Cancer?

2020 ◽  
pp. 000313482098487
Author(s):  
Melinda Wang ◽  
Julian Huang ◽  
Anees B. Chagpar
Keyword(s):  
Breast Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Cancer Patients ◽  
Prophylactic Mastectomy ◽  
Implicit Bias ◽  
Treatment Decision ◽  
Obese Patients ◽  
Breast Cancers ◽  
Breast Cancer Patients ◽  
Immediate Reconstruction

Background Patient and tumor characteristics often coincide with obesity, potentially affecting treatment decision-making in obese breast cancer patients. Independent of all of these factors, however, it is unclear whether obesity itself impacts the decision to offer patients undergoing mastectomy breast reconstruction, postmastectomy radiation therapy (PMRT), or neoadjuvant chemotherapy. We sought to determine whether implicit bias against obese breast cancer patients undergoing mastectomy plays a role in their treatment. Methods Medical records of breast cancer patients undergoing mastectomy from January 2010 to April 2018 from a single institution were retrospectively reviewed, separated into obese (BMI ≥30) and nonobese (BMI <30) categories, and compared using nonparametric statistical analyses. Results Of 972 patients, 291 (31.2%) were obese. Obese patients were more likely to have node-positive, triple-negative breast cancers ( P = .026) and were also more likely to have other comorbidities such as a history of smoking ( P = .026), hypertension ( P < .001), and diabetes ( P < .001). Receipt of immediate reconstruction and contralateral prophylactic mastectomy did not vary between obese and nonobese patients. While obese patients were more likely to undergo neoadjuvant chemotherapy (26.5% vs. 18.1%, P = .004) and PMRT (33.0% vs. 23.4%, P = .003), this did not remain significant when controlling for comorbidities and clinicopathologic confounders. Conclusion Obese patients present with more aggressive tumors and often have concomitant comorbidities. Independent of these factors, however, differences in the treatment of patients undergoing mastectomy do not seem to be affected by an implicit bias against obese patients.

Predominance of RAD21 and ERBB2 amplification and progesterone receptor positivity in tumors of the right breast support breast cancer lateralization.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e12557-e12557
Author(s):  
Zachary Spigelman ◽  
Jo-Ellen Murphy
Keyword(s):  
Breast Cancer ◽  
Progesterone Receptor ◽  
Cancer Patients ◽  
Breast Tumors ◽  
Left Breast ◽  
Breast Cancers ◽  
Her2 Expression ◽  
Breast Cancer Patients ◽  
The Right ◽  
Chi Square Analysis

e12557 Background: Biologic lateralization broadly impacts breast cancer. Malignancies originating in the left breast compared to the right breast tend to be more frequent, larger and of poorer prognosis. Left breast tumors respond differently to HER2-neu signaling and have lateralized Ki67 expression. In a prior study a right-left asymmetry in the neutrophil/lymphocyte ratio (NLR) of breast cancers was identified (ASCO 2018, e13094). As a follow-up, retrospective analysis of results from comprehensive genomic profiling (CGP) of right and left side breast cancer specimens was performed to determine a potential genomic etiology for the observed NLR lateralization. Methods: Tumors from 43 consecutive breast cancer patients underwent analysis for all classes of genomic alterations by hybrid capture-based CGP (Foundation Medicine). The CGP results from the 25 left- and 18 right-sided breast cancer samples were analyzed along with the histologic grade and status of estrogen receptor (ER), progesterone receptor (PR), and HER2 expression. Results: In this cohort of advanced breast cancer patients (stage 3-4), no statistically significant differences in lateralization were identified based on patient age, tumor stage, or frequency of ER or Her2 expression (Table). A predominance of PR positivity (p=0.14 chi square analysis) and amplifications in the ERBB2 (p=0.37) and RAD21 (p=0.08) genes were detected in right side tumors. Conclusions: Together with the prior study, trends in asymmetry based on genomic, pathologic, and immunohistologic differences have been detected in breast cancers, including an increased incidence of ERBB2 and RAD21 amplification in right-side breast tumors in this cohort. The predominance of lower PR positivity in the left breast tumors may be due to preferential hypermethylation, consistent with reports that it mediates biologic lateralization changes, downregulates PR expression, and alters amplification rates. Epigenetic methylation, may contribute to asymmetric breast cancer biology and have implications for therapeutic strategy. Further study is warranted.[Table: see text]

Abnormal gene expression leads to poor prognosis in breast cancer patients in Bihar

2016 ◽  
Vol 25 (4) ◽  
pp. 763-768
Author(s):  
Aseem Kumar Anshu ◽  
Akhileshwari Nath ◽  
Prinyanka ◽  
Neha Sinha ◽  
Priyanka Sinha ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Cancer Patients ◽  
Poor Prognosis ◽  
Breast Cancer Patients

scholarly journals DNAJC28 expression associates with survival in triple negative breast cancer.

2021 ◽  
Author(s):  
Shahan Mamoor
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Overall Survival ◽  
Cancer Patients ◽  
Triple Negative Breast Cancer ◽  
Microarray Data ◽  
Triple Negative ◽  
Breast Cancer Patients ◽  
Primary Tumors ◽  
Significant Gene

We mined published microarray data (1) to understand the most significant gene expression differences in the tumors of triple negative breast cancer patients based on survival following treatment: dead or alive. We observed significant transcriptome-wide differential expression of DnaJ (Hsp40) homolog, subfamily C, member 28, encoded by DNAJC28 when comparing the primary tumors of triple negative breast cancer patients dead or alive. Importantly, DNAJC28 expression was correlated with overall survival in patients with breast cancer. DNAJC28 may be of relevance as a biomarker or as a molecule of interest in understanding the etiology or progression of triple negative breast cancer.

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