scholarly journals Comparison of Genome Aberrations Between Early-Onset and Late-Onset Breast Cancer

10.5772/22913 ◽  
2011 ◽  
Author(s):  
Ming-Ta Hsu ◽  
Ching Cheng ◽  
Chian Feng ◽  
Chen ◽  
Yiin-Jeng Jong ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Early Onset ◽  
Late Onset

Bimodal breast cancer incidence patterns provide support for a dualistic model of mammary carcinogenesis

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 595-595 ◽  
Author(s):  
W. F. Anderson ◽  
R. M. Pfeiffer ◽  
G. M. Dores ◽  
M. E. Sherman
Keyword(s):  
Breast Cancer ◽  
Stem Cells ◽  
Early Onset ◽  
Late Onset ◽  
Mammary Carcinogenesis ◽  
Breast Cancers ◽  
Breast Carcinomas ◽  
Cellular Origin ◽  
Causal Pathways ◽  
Er Expression

595 Background: Although breast cancers are extremely heterogeneous with respect to clinical presentation, histopathological appearance, and molecular alterations; breast cancer is often viewed as a single biologic entity with common etiology and unified pathogenesis. Accumulating data has challenged this view, demonstrating that the stratification of tumors by gene expression profiles, immunohistochemical (IHC) staining patterns, and other techniques may permit the categorization of breast cancers into two main pathways of mammary carcinogenesis. Based upon cellular origin and/or estrogen receptor (ER) expression there are 1) tumors from stem cells committed to luminal differentiation and ER expression and 2) neoplasms from stem cells programmed to display basal differentiation and lacking ER expression. If confirmed, these observations may form the basis for revised conceptual frameworks. Methods:: We applied age-at-diagnosis density plots and a two component statistical mixture model to breast cancer cases overall (n=270,124) in the SEER program. These age distributions were reevaluated after stratification by histopathologic type, race, and ER. Results: A bimodal distribution provided a better fit for the age distribution patterns than a single distribution for breast cancers overall and for all histologic types, except medullary carcinoma. However, the proportion of early-onset and late-onset tumors varied: ductal and tubular carcinomas demonstrated relatively equal proportions; lobular, papillary and mucinous tumors were associated with late-onset populations; and inflammatory and medullary tumors were more related to early-onset disease. Medullary carcinomas were exceptional in showing a single distribution irrespective of race and/or ER status. Of note, medullary breast carcinomas are rare tumors that are associated with germline mutations in BRCA1. Conclusion: Most histopathologic types of breast carcinomas demonstrated a bimodal mixture of early- and late-onset cancer populations, possibly representing two major age-related causal pathways. These population-based results seem consistent with emerging molecular data, showing two main classes of breast cancer based upon cellular origin and ER expression. No significant financial relationships to disclose.

scholarly journals Apolipoprotein E Allelic Frequency Altered in Women with Early-onset Breast Cancer

2010 ◽  
Vol 4 ◽  
pp. 117822341000400 ◽  
Author(s):  
Tirtsa Porrata-Doria ◽  
Jaime L. Matta ◽  
Summer F. Acevedo
Keyword(s):  
Breast Cancer ◽  
Risk Factor ◽  
Apolipoprotein E ◽  
Potential Risk ◽  
Tumor Size ◽  
Early Onset ◽  
Late Onset ◽  
The United States ◽  
The Body ◽  
Early Onset Breast Cancer

Among women, the most prevalent type of cancer is breast cancer, affecting 1 out of every 8 women in the United States; in Puerto Rico, 70 out of every 100,000 will develop some type of breast cancer. Therefore, a better understanding of the potential risk factors for breast cancer could lead to the development of early detection tools. A gene that has been proposed as a risk factor in several populations around the world is Apolipoprotein E (apoE). ApoE functions as a mechanism of transport for lipoproteins and cholesterol throughout the body, with 3 main isoforms present in humans (apoE2, apoE3, and apoE4). Whether or not apoE4 is a risk factor for breast cancer remains controversial. Previous studies have either included test subjects of all ages (20–80) or have focused on late-onset (after age 50) breast cancer; none has concentrated specifically on early-onset (aged 50 and younger) breast cancer. The objectives of this study was to examine (in a Puerto Rican population) the differences in the relative frequency of occurrence of apoE4 in non-breast cancer versus breast cancer patients and to examine, as well, the potential differences of same in early- versus late-onset patients. We found an increased frequency of apoE4 (odds ratio 2.15) only in early-onset breast cancer survivors, which is similar to the findings of those studies that combined or adjusted for age as well as for an association between apoE4 and decreased tumor size. ApoE is also a potential risk factor for long-term cognitive effects after chemotherapy and affects response to hormone replacement. Our data supports the theory that knowing the apoE genotype of women who are at risk of developing breast cancer may be beneficial, as such knowledge would aid in the prediction of tumor size and the development of treatment regimens.

Qualitative age interactions (or effect modification) suggest divergent pathways for early-onset and late-onset breast cancers

2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 21036-21036 ◽  
Author(s):  
W. F. Anderson ◽  
L. A. Brinton ◽  
B. Chen ◽  
S. S. Devesa
Keyword(s):  
Breast Cancer ◽  
Cancer Incidence ◽  
Early Onset ◽  
Late Onset ◽  
Breast Cancer Incidence ◽  
Temporal Trends ◽  
Effect Modification ◽  
Low Grade ◽  
High Grade ◽  
Breast Cancers

21036 Background: Notwithstanding some recent declines, breast cancer incidence rates have risen for decades, though not equally for all age groups. We used the National Cancer Institute's SEER program to further explore the effect of aging upon breast cancer incidence. Materials and Methods: The SEER program collected data on n=494,543 in-situ + invasive female breast cancer cases, newly diagnosed during 1974–2003. Temporal trends by race, stage, and grade were stratified by age at diagnosis in decades: 20–29 to 80+ years. Results: We observed age interactions over time. For example, as the specification of grade improved from 1974–2003, temporal trends for high and low grade tumors varied with age. Among women ages <40 years, high grade lesions were more common than low grade tumors for all time periods. Among women ages 40+ years, high grade lesions were more common during the early years, and then rates crossed, after which low-grade tumors were more common than high grade lesions. Conclusion: Age at diagnosis was both a quantitative (non- crossover) and qualitative (crossover) effect modifier. The crossing of rates from high to low grade tumors among women ages 40+ years in the 1980s is consistent with more aggressive breast cancer screening, with mammography preferentially detecting low grade tumors among women targeted for screening, i.e., ages 40–80 years. Though once thought to be rare or artifactual, qualitative interactions or effect modification suggest etiologic heterogeneity in an otherwise homogeneous disease process. Indeed, if true, qualitative age interactions imply divergent pathways for early-onset and late-onset breast cancers. No significant financial relationships to disclose.

scholarly journals Long Noncoding RNAs-LET Behave as a Noncoding Signature for Early-Onset Menarche and Late-Onset Menopause in Breast Cancer Patients

2021 ◽  
Vol 10 ◽  
pp. e2108
Author(s):  
Farzaneh Darbeheshti ◽  
Hosein Mansoori ◽  
Rasoul Abdollahzadeh ◽  
Hassan Dastsooz ◽  
Abdolreza Daraei ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Early Onset ◽  
Late Onset ◽  
Noncoding Rnas ◽  
Breast Tumors ◽  
Normal Breast ◽  
Long Noncoding Rnas ◽  
Breast Cancer Patients ◽  
Bioinformatics Analyses ◽  
Breast Tissues

Background: Breast cancer (BC) as a major cause of cancer-related death in women shows a very complex molecular and clinical phenotype, which has reduced the effectiveness of medical interventions. Evidence suggests that long noncoding RNAs (lncRNAs) are responsible for an important part of this complexity. This study aims to assess the expression and clinical implication of lncRNA LET in the pathobiology of BC. Materials and Methods: Quantitative real-time polymerase chain reaction was used to measure the expression of lncRNA-LET in breast tumors and adjacent normal-appearing tissues from 4 BC patients, as well as normal mammary tissues. Moreover, a bioinformatics approach was applied to uncover the potential lncRNA-LET-mediated sponge regulatory network as LET/miRNA/mRNA crosstalk. Results: Our study revealed that lncRNA-LET was significantly down-expressed not only in breast tumors but also in normal appearing breast tissues samples from BC subjects compared with true normal breast tissues obtained from healthy women. The low level of lncRNA-LET was meaningfully associated with early-onset menarche (≤13 years) and late-onset menopause (≥50) in patients. Moreover, the bioinformatics analyses support that lncRNA-LET could function as a tumor suppressor miRNA sponge. Conclusion: The results indicate that normal appearing breast tissues can undergo tumor-related molecular changes. Furthermore, they reveal the potential role of the dysregulation in LET-mediated ceRNA network in the pathophysiology of BC.

scholarly journals Bimodal age distribution at diagnosis in breast cancer persists across molecular and genomic classifications

2019 ◽  
Vol 179 (1) ◽  
pp. 185-195 ◽  
Author(s):  
Emma H. Allott ◽  
Yue Shan ◽  
Mengjie Chen ◽  
Xuezheng Sun ◽  
Susana Garcia-Recio ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Early Onset ◽  
Late Onset ◽  
Age At Onset ◽  
Age Distribution ◽  
Distribution Patterns ◽  
Component Mixture ◽  
Breast Cancer Study ◽  
Two Component ◽  
Carolina Breast Cancer Study

Abstract Purpose Female breast cancer demonstrates bimodal age frequency distribution patterns at diagnosis, interpretable as two main etiologic subtypes or groupings of tumors with shared risk factors. While RNA-based methods including PAM50 have identified well-established clinical subtypes, age distribution patterns at diagnosis as a proxy for etiologic subtype are not established for molecular and genomic tumor classifications. Methods We evaluated smoothed age frequency distributions at diagnosis for Carolina Breast Cancer Study cases within immunohistochemistry-based and RNA-based expression categories. Akaike information criterion (AIC) values compared the fit of single density versus two-component mixture models. Two-component mixture models estimated the proportion of early-onset and late-onset categories by immunohistochemistry-based ER (n = 2860), and by RNA-based ESR1 and PAM50 subtype (n = 1965). PAM50 findings were validated using pooled publicly available data (n = 8103). Results Breast cancers were best characterized by bimodal age distribution at diagnosis with incidence peaks near 45 and 65 years, regardless of molecular characteristics. However, proportional composition of early-onset and late-onset age distributions varied by molecular and genomic characteristics. Higher ER-protein and ESR1-RNA categories showed a greater proportion of late age-at-onset. Similarly, PAM50 subtypes showed a shifting age-at-onset distribution, with most pronounced early-onset and late-onset peaks found in Basal-like and Luminal A, respectively. Conclusions Bimodal age distribution at diagnosis was detected in the Carolina Breast Cancer Study, similar to national cancer registry data. Our data support two fundamental age-defined etiologic breast cancer subtypes that persist across molecular and genomic characteristics. Better criteria to distinguish etiologic subtypes could improve understanding of breast cancer etiology and contribute to prevention efforts.

Early onset isolated ostial left-main-stem stenosis after breast cancer radiation report of a case and review of literature

2012 ◽  
Vol 60 (S 01) ◽  
Author(s):  
M Wilbring ◽  
SM Tugtekin ◽  
S Schön ◽  
D Joskowiak ◽  
K Matschke ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Early Onset ◽  
Main Stem ◽  
Review Of Literature ◽  
Left Main ◽  
Left Main Stem

NEONATAL SEPSIS AND IDENTIFICATION OF RISK FACTORS: STUDY IN AVBRH HOSPITAL SAWANGI

2019 ◽  
Vol 3 (6) ◽  
Author(s):  
Pramod P. Singhavi
Keyword(s):  
Risk Factors ◽  
Neonatal Sepsis ◽  
Early Onset ◽  
Late Onset ◽  
Signs And Symptoms ◽  
Premature Rupture ◽  
Maternal Risk ◽  
Late Onset Sepsis ◽  
Early Onset Sepsis ◽  
Meconium Stained Amniotic Fluid

Introduction: India has the highest incidence of clinical sepsis i.e.17,000/ 1,00,000 live births. In Neonatal sepsis septicaemia, pneumonia, meningitis, osteomyelitis, arthritis and urinary tract infections can be included. Mortality in the neonatal period each year account for 41% (3.6 million) of all deaths in children under 5 years and most of these deaths occur in low income countries and about one million of these deaths are due to infectious causes including neonatal sepsis, meningitis, and pneumonia. In early onset neonatal sepsis (EOS) Clinical features are non-specific and are inefficient for identifying neonates with early-onset sepsis. Culture results take up to 48 hours and may give false-positive or low-yield results because of the antenatal antibiotic exposure. Reviews of risk factors has been used globally to guide the development of management guidelines for neonatal sepsis, and it is similarly recommended that such evidence be used to inform guideline development for management of neonatal sepsis. Material and Methods: This study was carried out using institution based cross section study . The total number neonates admitted in the hospital in given study period was 644, of which 234 were diagnosed for neonatal sepsis by the treating pediatrician based on the signs and symptoms during admission. The data was collected: Sociodemographic characteristics; maternal information; and neonatal information for neonatal sepsis like neonatal age on admission, sex, gestational age, birth weight, crying immediately at birth, and resuscitation at birth. Results: Out of 644 neonates admitted 234 (36.34%) were diagnosed for neonatal sepsis by the paediatrician based on the signs and symptoms during admission. Of the 234 neonates, 189 (80.77%) infants were in the age range of 0 to 7 days (Early onset sepsis) while 45 (19.23%) were aged between 8 and 28 days (Late onset sepsis). Male to female ratio in our study was 53.8% and 46% respectively. Out of total 126 male neonates 91(72.2%) were having early onset sepsis while 35 (27.8%) were late onset type. Out of total 108 female neonates 89(82.4%) were having early onset sepsis while 19 (17.6%) were late onset type. Maternal risk factors were identified in 103(57.2%) of early onset sepsis cases while in late onset sepsis cases were 11(20.4%). Foul smelling liquor in early onset sepsis and in late onset sepsis was 10(5.56%) and 2 (3.70%) respectively. In early onset sepsis cases maternal UTI, Meconium stained amniotic fluid, Multipara and Premature rupture of membrane was seen in 21(11.67%), 19 (10.56%), 20(11.11%) and 33 (18.33%) cases respectively. In late onset sepsis cases maternal UTI, Meconium stained amniotic fluid, Multipara and Premature rupture of membrane was seen in 2 (3.70%), 1(1.85%), 3 (5.56%) and 3 (5.56%) cases respectively. Conclusion: Maternal risk identification may help in the early identification and empirical antibiotic treatment in neonatal sepsis and thus mortality and morbidity can be reduced.

Sign in / Sign up

Export Citation Format

Share Document