scholarly journals High VEGF-A expression distinguishes basal-like human breast cancer.

2022 ◽  
Author(s):  
Shahan Mamoor
Keyword(s):  
Breast Cancer ◽  
Survival Data ◽  
Human Breast Cancer ◽  
Molecular Subtypes ◽  
Human Breast ◽  
Luminal A ◽  
Luminal B ◽  
Dismal Prognosis ◽  
Basal Like Breast Cancer ◽  
Tumor Expression

Patients diagnosed with basal-like breast cancer face a more aggressive disease course and more dismal prognosis than patients diagnosed with luminal A and luminal B breast cancer molecular subtypes (1-4). We mined published microarray data (5, 6) to understand in an unbiased fashion the most distinguishing transcriptional features of tumors from patients with basal or basal-like subtype breast cancer. We observed transcriptome-wide differential expression of the vascular endothelial growth factor A, VEGFA, when comparing tumors of patients with basal-like breast cancer with that of other PAM50 molecular subtypes. VEGF-A mRNA was present at significantly higher quantities in the tumors of patients with basal-like breast cancer. Analysis of patient survival data revealed that VEGF-A primary tumor expression was correlated with recurrence-free survival, with higher VEGF-A associated with inferior outcomes - in basal-like patients but not in luminal A, luminal B, HER2+, or normal-like patients. High VEGF-A expression appears to distinguish basal-like human breast cancer from the other molecular subtypes.

scholarly journals Low GATA3 expression distinguishes basal-like human breast cancer.

2022 ◽  
Author(s):  
Shahan Mamoor
Keyword(s):  
Breast Cancer ◽  
Survival Data ◽  
Human Breast Cancer ◽  
Molecular Subtypes ◽  
Human Breast ◽  
Luminal A ◽  
Luminal B ◽  
Dismal Prognosis ◽  
Gata3 Expression ◽  
Basal Like Breast Cancer

Patients diagnosed with basal-like breast cancer face a more aggressive disease course and more dismal prognosis than patients diagnosed with luminal A and luminal B breast cancer molecular subtypes (1-4). We mined published microarray data (5, 6) to understand in an unbiased fashion the most distinguishing transcriptional features of tumors from patients with basal or basal-like subtype breast cancer. We observed transcriptome-wide differential expression of the transcription factor GATA3 when comparing tumors of patients with basal-like breast cancer with that of other PAM50 molecular subtypes. GATA3 mRNA was present at significantly reduced quantities in the tumors of patients with basal-like breast cancer. Analysis of patient survival data revealed that GATA3 primary tumor expression was correlated with distant metastasis-free survival, with low GATA3 expression correlated with inferior survival outcomes. Low GATA3 expression appears to distinguish basal-like human breast cancer from the other molecular subtypes.

scholarly journals Elevated SOX11 expression distinguishes basal-like human breast cancer.

2022 ◽  
Author(s):  
Shahan Mamoor
Keyword(s):  
Breast Cancer ◽  
Survival Data ◽  
Human Breast Cancer ◽  
Molecular Subtypes ◽  
Human Breast ◽  
Luminal A ◽  
Luminal B ◽  
Dismal Prognosis ◽  
Sox11 Expression ◽  
Basal Like Breast Cancer

Patients diagnosed with basal-like breast cancer face a more aggressive disease course and more dismal prognosis than patients diagnosed with luminal A and luminal B breast cancer molecular subtypes (1-4). We mined published microarray data (5, 6) to understand in an unbiased fashion the most distinguishing transcriptional features of tumors from patients with basal or basal-like subtype breast cancer. We observed transcriptome-wide differential expression of SRY-box 11, SOX11, when comparing tumors of patients with basal-like breast cancer with that of other PAM50 molecular subtypes. SOX11 mRNA was present at significantly higher quantities in the tumors of patients with basal-like breast cancer. Analysis of patient survival data revealed that SOX11 primary tumor expression was correlated with overall survival, with higher SOX11 associated with inferior outcomes - in basal-like patients but not in luminal A, luminal B, HER2+, or normal-like patients. Elevated SOX11 expression appears to distinguish basal-like human breast cancer from the other molecular subtypes.

scholarly journals An allele on chromosome 5 residing within the ZSWIM6 region distinguishes patients with basal-like human breast cancer.

2021 ◽  
Author(s):  
Shahan Mamoor
Keyword(s):  
Breast Cancer ◽  
Survival Data ◽  
Human Breast Cancer ◽  
Human Breast ◽  
Luminal A ◽  
Luminal B ◽  
Basal Subtype ◽  
Dismal Prognosis ◽  
Basal Like Breast Cancer ◽  
Tumor Expression

Patients diagnosed with basal-like (also known as basal) subtype breast cancer face a more aggressive disease course and more dismal prognosis than patients diagnosed with luminal A and luminal B breast cancer molecular subtypes (1-4). We mined published microarray data (5, 6) to understand in an unbiased fashion the most distinguishing genetic and transcriptional features of tumors from patients with basal or basal-like subtype breast cancer. We identified a single nucleotide polymorphism, rs6449531 in ZSWIM6 as among the most significant genetic differences in the tumors of patients with basal-like breast cancer. In a separate cohort of patients with basal subtype breast cancer, we observed transcriptome-wide differential expression of a ZSWIM6 transcript. Analysis of patient survival data revealed that ZSWIM6 primary tumor expression was correlated with overall survival in patients with basal subtype breast cancer. Sequence variation in the ZSWIM6 gene may be important in understanding differences in genetic background that favor development of basal subtype human breast cancer.

scholarly journals A single nucleotide variant on chromosome 10 residing within nebulette (C10orf113) distinguishes patients with basal-like human breast cancer.

2022 ◽  
Author(s):  
Shahan Mamoor
Keyword(s):  
Breast Cancer ◽  
Survival Data ◽  
Single Nucleotide Variants ◽  
Luminal A ◽  
Chromosome 10 ◽  
Single Nucleotide ◽  
Free Survival ◽  
Dismal Prognosis ◽  
Basal Like Breast Cancer ◽  
Tumor Expression

Patients diagnosed with basal-like breast cancer face a more aggressive disease course and more dismal prognosis than patients diagnosed with luminal A and luminal B breast cancer molecular subtypes (1-4). We mined published microarray data (5, 6) to understand in an unbiased fashion the most distinguishing genetic and transcriptional features of tumors from patients with basal or basal-like subtype breast cancer. We identified a single nucleotide polymorphism (rs625223) residing within NEBL (C10orf113) as among the most significant genetic differences in the tumors of patients with basal-like breast cancer. In a separate cohort of patients with basal subtype breast cancer, we observed transcriptome-wide differential tumor expression of a C10orf113 transcript. Analysis of patient survival data revealed that C10orf113 primary tumor expression was correlated with recurrence-free survival and distant metastasis-free survival in patients with basal-like breast cancer, but in a contrary manner. Thus, single nucleotide variants on both chromosome 5 (7) and chromosome 10 are fundamental differences that define the genetic composition of basal-like breast cancer in humans.

scholarly journals Inflammatory Breast Cancer: Clinical Characteristics and Influence of Molecular Subtypes on Treatment Response

2021 ◽  
Vol 107 (1_suppl) ◽  
pp. 12-12
Author(s):  
D Aissaoui ◽  
M Bohli ◽  
R Ben Amor ◽  
J Yahyaoui ◽  
A Hamdoun ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Treatment Response ◽  
Inflammatory Breast Cancer ◽  
Hormone Receptor ◽  
Triple Negative ◽  
Molecular Subtypes ◽  
Luminal A ◽  
Her2 Positive ◽  
Luminal B ◽  
Significant Difference

Introduction: Inflammatory Breast Cancer (IBC) is a rare and very aggressive breast cancer with poor prognosis. The prevalence is different from a country to another. In Tunisia, it is about 5 to 7% of breast cancer. The aim of this study is to describe the epidemiological and histopathological features of patients with inflammatory breast cancer and to evaluate the treatment response according to the molecular subtypes. Methods: This retrospective review identified 31 patients with no metastatic IBC treated in our radiotherapy department between December 2019 and November 2020. IBC was confirmed using the clinical criteria. Baseline clinic-pathological and treatment information was retrieved from medical records. Statistical analysis was performed with IBM SPSS V.20. Results: Median age was 51.3 years [27-68]. 48% of tumors were grade 3. The average tumor size was 36mm [10-90]. The histological type was ductal carcinoma in 97%. Vascular invasion was noted in 24 patients (77%). Thirty patients were classified as stage IIIB and one patient was IIIC. 74% were hormone receptor positive and 45% were HER2 positive. Luminal B was the predominant subtype (52%) followed by Her2 positive (32%), Luminal A (23%), and triple negative (3%) All patients had chemotherapy: neoadjuvant for 26 patients (84%) and adjuvant for 5 patients (16%). Nine patients (29%) had tumor pathological complete response (pCR). Partial response was observed in 18 patients (58%). Lymph node pCR was noted in 16% of cases (n=5). Endocrine therapy and trastuzumab were given to 76% and 45% of patients, respectively. The influence of the molecular subtype was not statistically significant on the response to neoadjuvant treatment. The highest rate of pCR were 43% for Her2positive, then 27%, 21% and 9% for Luminal B, Luminal A and Triple negative, respectively (p=0.2). Conclusion: Our study showed a high percentage of hormone receptor and Her2+ (74% and 45% respectively) in IBC. Luminal B was the most frequent subtype. Anthracycline-based chemotherapy and trastuzumab improved the pCR rate: 44% for Her2positive. Triple negative showed poorer pCR than other breast cancer subtype without a significant difference. A larger study is warranted to confirm our findings.

scholarly journals Diffusion-Weighted Imaging of Different Breast Cancer Molecular Subtypes: A Systematic Review and Meta-Analysis

Breast Care ◽  
2021 ◽  
pp. 1-8
Author(s):  
Hans-Jonas Meyer ◽  
Andreas Wienke ◽  
Alexey Surov
Keyword(s):  
Breast Cancer ◽  
Systematic Review ◽  
Diffusion Weighted Imaging ◽  
Triple Negative ◽  
Molecular Subtypes ◽  
Luminal A ◽  
Diagnose Breast Cancer ◽  
Luminal B ◽  
Diffusion Weighted ◽  
Adc Values

Background: Magnetic resonance imaging can be used to diagnose breast cancer (BC).Diffusion-weighted imaging (DWI) and the apparent diffusion coefficient (ADC) can be used to reflect tumor microstructure. Objectives: This analysis aimed to compare ADC values between molecular subtypes of BC based on a large sample of patients. Method: The MEDLINE library and Scopus database were screened for the associations between ADC and molecular subtypes of BC up to April 2020. The primary end point of the systematic review was the ADC value in different BC subtypes. Overall, 28 studies were included. Results: The included studies comprised a total of 2,990 tumors. Luminal A type was diagnosed in 865 cases (28.9%), luminal B in 899 (30.1%), human epidermal growth factor receptor (Her2)-enriched in 597 (20.0%), and triple-negative in 629 (21.0%). The mean ADC values of the subtypes were as follows: luminal A: 0.99 × 10–3 mm2/s (95% CI 0.94–1.04), luminal B: 0.97 × 10–3 mm2/s (95% CI 0.89–1.05), Her2-enriched: 1.02 × 10–3 mm2/s (95% CI 0.95–1.08), and triple-negative: 0.99 × 10–3 mm2/s (95% CI 0.91–1.07). Conclusions: ADC values cannot be used to discriminate between molecular subtypes of BC.

Association between molecular subtype of local advanced breast cancer with Ca 15-3 level

2021 ◽  
pp. 1-4
Author(s):  
Dony Ruswendro ◽  
Salman Ardi Syamsu ◽  
Rudy Thabry ◽  
Arifin Seweng ◽  
Andi Nilawati Usman
Keyword(s):  
Breast Cancer ◽  
Advanced Breast Cancer ◽  
Tumor Marker ◽  
Molecular Subtypes ◽  
Locally Advanced Breast Cancer ◽  
Locally Advanced ◽  
Tissue Growth ◽  
Advanced Breast ◽  
Luminal A ◽  
Luminal B

BACKGROUND: Neoplasm is an abnormal mass of tissue that grows excessively and not coordinated with normal tissue growth and continues to do so even though the stimulation that triggered the change has stopped. Breast cancer can be known by using tumor marker, which has been used is mucin-like glycoprotein Carcinoma Antigen (CA 15-3) which is a tumor marker that is specific to breast cancer. METHOD: This study is a cross-sectional study to determine the association between molecular subtypes of locally advanced breast cancer with CA 15-3 level at Abdul Wahab Sjahranie Samarinda Hospital. The population in this study were all breast cancer patients that were confirmed by histopathological examination. RESULTS: A total of 75 patients were included for this study, 29 patients (38.7%) known as Overexpression HER2, 18 patients (24.0%) were Luminal B with HER2 (+), 11 patients (14.7%) were Luminal B with HER2 (−), 11 patients (14.7%) were Basal-like/TNBC, and 6 patients (8,0%) were Luminal A. From the ANOVA test, the value of p = 0.045 (p < 0.05) means there was an association between Ca 15-3 level and molecular subtypes in patients with locally advanced breast cancer at the Abdul Wahab Sjahranie Hospital in Samarinda 2017. In this study Ca 15-3 levels were obtained on average for Luminal A 16.98 U/mL, Luminal B with HER2 (−) 42.41 U/mL, Luminal B with HER2 (+) 73.75 U/mL, Overexpression HER2 47.73 U/mL, and Basal Like /TNBC 63.50 U/mL. CONCLUSION: Statistically, it was found that there was an association between Ca 15-3 levels and molecular subtypes in patients with locally advanced breast cancer at the Abdul Wahab Sjahranie Hospital in Samarinda 2017.

Trends in breast cancer mortality according to molecular subtypes: A population-based study.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 572-572
Author(s):  
Yunan Han ◽  
Shuai Xu ◽  
Graham A. Colditz ◽  
Adetunji T. Toriola
Keyword(s):  
Breast Cancer ◽  
Cancer Mortality ◽  
Triple Negative ◽  
Molecular Subtypes ◽  
Breast Cancer Mortality ◽  
Treatment Strategies ◽  
Luminal A ◽  
Her2 Positive ◽  
Mortality Trends ◽  
Luminal B

572 Background: Breast cancer is the second leading cause of cancer death in U.S. women. On the molecular level, breast cancer is a heterogeneous disease. Heterogeneous expressions of estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) are etiologically and clinically meaningful, as they map to distinct risk factors and different treatment strategies. Although breast cancer mortality has been declining since 1990, little is known about mortality trends according to molecular subtypes at the population level. Methods: We examined the incidence-based mortality rates and trends among women who were diagnosed with invasive breast cancer from 2010 through 2017 using the Surveillance, Epidemiology, and End Results (SEER) database. We defined incidence-based mortality using a moving 5-year calendar period starting in 2014. We further assessed mortality according to breast cancer molecular subtypes: luminal A (ER and/or PR positive, HER2 negative), luminal B (ER and/or PR positive, HER2 positive), HER2-enriched (HER2 over-expressed or amplified, ER and PR negative) and triple-negative (ER and PR negative, HER2 negative) tumors. We calculated annual percent changes (APC) in incidence-based mortality using joinpoint regression models. Results: Overall, incidence-based mortality for breast cancer significantly decreased by 1.5% annually from 2014 through 2017 (APC, -1.5%; 95% coefficient interval [CI], -2.3% to -0.7%; p<0.001). Incidence-based mortality decreased annually by 2.0% for luminal A breast cancer (APC, -2.0%; 95% CI, -3.7% to -0.3%; p<0.001), 2.1% for luminal B breast cancer (APC, -2.1%; 95% CI, -5.4% to 1.4%; p=0.1), 1.1% for triple-negative breast cancer (TNBC) (APC, -1.1%; 95% CI, -2.1% to -0.0%; p<0.001). However, incidence-based mortality for HER2-enriched breast cancer increased 2.3% annually during the study period (APC, 2.3%; 95% CI, -2.4% to 7.2%; p=0.2). Conclusions: Between 2014 and 2017, incidence-based mortality for luminal A, luminal B, and TNBC decreased among U.S. women, with a larger decrease observed for luminal tumors. However, incidence-based mortality for HER2-enriched breast cancer increased. The favorable incidence-based mortality trends for luminal tumors and TNBC are likely due to the continuing improvement in treatments and early detection. The increasing trend of incidence-based mortality for HER2-enriched breast cancer constitutes a priority for cancer control activities and further research.

scholarly journals Identification of key genes unique to the luminal A and basal-like breast cancer subtypes via bioinformatic analysis

2020 ◽  
Author(s):  
Rong Jia ◽  
Zhongxian Li ◽  
Wei Liang ◽  
Yucheng Ji ◽  
Yujie Weng ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Differentially Expressed Genes ◽  
Survival Data ◽  
Breast Cancer Subtypes ◽  
Differentially Expressed ◽  
Expression Data ◽  
Luminal A ◽  
Cancer Subtypes ◽  
Protein Protein Interaction ◽  
Basal Like Breast Cancer

Abstract Background Breast cancer subtypes are statistically associated with prognosis. The search for markers of breast tumor heterogeneity and the development of precision medicine for patients are the current focuses of the field. Methods We used a bioinformatic approach to identify key disease-causing genes unique to the luminal A and basal-like subtypes of breast cancer. First, we retrieved gene expression data for luminal A breast cancer, basal-like breast cancer, and normal breast tissue samples from The Cancer Genome Atlas database. The differentially expressed genes unique to the 2 breast cancer subtypes were identified and subjected to Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses. We constructed protein–protein interaction networks of the differentially expressed genes. Finally, we analyzed the key modules of the networks, which we combined with survival data to identify the unique cancer genes associated with each breast cancer subtype. Results We identified 1,114 differentially expressed genes in luminal A breast cancer and 1,042 differentially expressed genes in basal-like breast cancer, of which the subtypes shared 500. We observed 614 and 542 differentially expressed genes unique to luminal A and basal-like breast cancer, respectively. Through enrichment analyses, protein–protein interaction network analysis, and module mining, we identified 8 key differentially expressed genes unique to each subtype. Analysis of the gene expression data in the context of the survival data revealed that high expression of NMUR1 and NCAM1 in luminal A breast cancer statistically correlated with poor prognosis, whereas the low expression levels of CDC7 , KIF18A , STIL , and CKS2 in basal-like breast cancer statistically correlated with poor prognosis. Conclusions NMUR1 and NCAM1 are novel key disease-causing genes for luminal A breast cancer, and STIL is a novel key disease-causing gene for basal-like breast cancer. These genes are potential targets for clinical treatment.

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