scholarly journals CUTOFF VALUE OF KI-67 BIOMARKER AS PROGNOSTIC MARKER IN FEMALE BREAST CANCER

2022 ◽  
Vol 51 (1) ◽  
pp. 549-562
Keyword(s):  
Breast Cancer ◽  
Prognostic Marker ◽  
Female Breast Cancer ◽  
Ki 67 ◽  
Cutoff Value ◽  
Female Breast

Evaluation of pathologic and genomic characteristics in female breast cancer patients.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e13001-e13001
Author(s):  
Damien Mikael Hansra ◽  
Amber Moran ◽  
Becky Slawik ◽  
Shirelle Clark ◽  
Vicki Doctor ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Metastatic Disease ◽  
Stage Iv ◽  
Retrospective Chart Review ◽  
Female Breast Cancer ◽  
Breast Cancer Patients ◽  
Ki 67 ◽  
Female Breast ◽  
Locally Recurrent

e13001 Background: The genomic landscape of female breast cancer is rapidly evolving partially owing to advancements in next generation sequencing (NGS). Here we report the genomic characteristics of female breast cancer patients with locally recurrent inoperable and metastatic disease. Methods: IRB approval was obtained for a retrospective analysis of archived pathology on patients treated at Cancer Treatment Centers of America. Comprehensive genomic profiling of tumors was derived from Foundation One (F1) and Guardant 360 NGS. Clinical information was derived from retrospective chart review. Inclusions: adult females with breast cancer with stage IV metastatic disease or locally recurrent inoperable disease. Exclusions: Males, missing genomic and pathologic information. Results of clinical, pathologic, and genomic data were summarized. Results: 1788 patients met study criteria. Median age: 48 yrs., range 20-79 yrs. Race: Caucasian 1029/1788 (58%), African American 582/1788 (32%), Hispanic 77/1788 (4%), Asian 26/1788 (1%), other 73/1788 (4%). Receptor status: Hormone receptor ER(+) &/or PR(+) 950/1788 (53.1%); Triple negative 390/1788 (21.8%); HER2(+) 205/1788 (11.5%); missing/incomplete: 243/1788 (13.6%). Ki-67 status: High 548/705 (77.7%)/Low 57/705 (8.1%)/Intermediate (INT) 100/705 (14.2%). PD-L1 status: PD-L1(-) 346/544 (63.6%)/ PD-L1(+) 179/544 (32.9%)/PD-L1 (indeterminate or QNS) 19/544 (3.5%). NGS test total (1984 tests): F1 1023/1984 (52%), F1 CDx 703/1984 (35%), F1 Act 91/1984 (6%), F1 Liquid 82/1984 (6%), Guardant 360 85/1984 (4%). Biomarkers (1096 results): Microsatellite Instability (MSI) High 4/1096 (0.3%), MSI- Intermediate (INT) 2/1096 (0.1%), MS-stable 1017/1096 (93%), Cannot be determined (CBD) 73/1096 (7%). Tumor Mutation Burden (TMB) (842 results): TMB high 22/842 (3%), TMB INT 233/842 (28%), TMB low 513/842 (61%), CBD 74/842 (9%). Genomic abnormalities (% alterations per patient): TP53 999/1783 (56.03%), PIK3CA 610/1783 (34.21%), MYC 425/1783 (23.84%), CCND1 318/1783 (17.84%), FGF19 298/1783 (16.71%), FGF3 296/1783 (16.60%), FGF4 293/1783 (16.43%), ESR1 266/1783 (14.92%), FGFR1 276/1783 (15.48%), PTEN 239/1783 (13.40%), ZNF703 251/1783 (14.08%), ERBB2 218/1783 (12.23%), GATA3 178/1783 (9.98%), CDH1 165/1783 (9.25%), RAD21 157/1783 (8.81%). Pathway defects (expressed as total % of alterations): Alterations in FGF genes 10.64%, mTOR pathway 8.36%, HHR pathway 3.17%. Conclusions: Female breast cancer patients display a heterogeneous variety of complex genomic alterations. Mutations in FGF genes were most common. The single most common alteration was in TP53. Other common alterations include PIK3CA, MYC, CCND1, and ESR1.

scholarly journals Ki-67 proliferative index correlation to the immunohistochemistry profile in early female breast cancer: a review of 515 cases

2021 ◽  
Vol 6 (2) ◽  
pp. 108-113
Author(s):  
Abdalla Saad Abdalla Al-Zawi ◽  
Mohamed Elamass ◽  
Agnieszka Kapturek ◽  
Philip Idaewor
Keyword(s):  
Breast Cancer ◽  
Female Breast Cancer ◽  
Proliferative Index ◽  
Ki 67 ◽  
Female Breast

Treatment disparities in female breast cancer patients according to race, ethnicity and socioeconomic status

2013 ◽  
Author(s):  
Christopher S. Bartlett ◽  
Tulay Koru-Sengul ◽  
Feng Miao ◽  
Stacey L. Tannenbaum ◽  
David J. Lee ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Socioeconomic Status ◽  
Cancer Patients ◽  
Female Breast Cancer ◽  
Breast Cancer Patients ◽  
Female Breast ◽  
Treatment Disparities ◽  
Race Ethnicity

scholarly journals 165P Comparison of male and female breast cancer in reference hospital in Mexico

2021 ◽  
Vol 32 ◽  
pp. S90-S91
Author(s):  
G. Sanchez ◽  
A. Gutierrez ◽  
J.C. Jímenez ◽  
R. Correa ◽  
J.A. Alegría Baños ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Female Breast Cancer ◽  
Male And Female ◽  
Female Breast ◽  
Reference Hospital

scholarly journals Socio-Economic Position, Cancer Incidence and Stage at Diagnosis: A Nationwide Cohort Study in Belgium

Cancers ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 933
Author(s):  
Michael Rosskamp ◽  
Julie Verbeeck ◽  
Sylvie Gadeyne ◽  
Freija Verdoodt ◽  
Harlinde De Schutter
Keyword(s):  
Breast Cancer ◽  
Lung Cancer ◽  
Cohort Study ◽  
Cancer Incidence ◽  
Regression Models ◽  
Female Breast Cancer ◽  
Stage At Diagnosis ◽  
Female Breast ◽  
Economic Parameters ◽  
Economic Position

Background: Socio-economic position is associated with cancer incidence, but the direction and magnitude of this relationship differs across cancer types, geographical regions, and socio-economic parameters. In this nationwide cohort study, we evaluated the association between different individual-level socio-economic and -demographic factors, cancer incidence, and stage at diagnosis in Belgium. Methods: The 2001 census was linked to the nationwide Belgian Cancer Registry for cancer diagnoses between 2004 and 2013. Socio-economic parameters included education level, household composition, and housing conditions. Incidence rate ratios were assessed through Poisson regression models. Stage-specific analyses were conducted through logistic regression models. Results: Deprived groups showed higher risks for lung cancer and head and neck cancers, whereas an inverse relation was observed for malignant melanoma and female breast cancer. Typically, associations were more pronounced in men than in women. A lower socio-economic position was associated with reduced chances of being diagnosed with known or early stage at diagnosis; the strongest disparities were found for male lung cancer and female breast cancer. Conclusions: This study identified population groups at increased risk of cancer and unknown or advanced stage at diagnosis in Belgium. Further investigation is needed to build a comprehensive picture of socio-economic inequality in cancer incidence.

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