scholarly journals Ki67 index in intrinsic breast cancer subtypes and its association with prognostic parameters

2019 ◽  
Vol 12 (1) ◽  
Author(s):  
Atif Ali Hashmi ◽  
Kashif Ali Hashmi ◽  
Muhammad Irfan ◽  
Saadia Mehmood Khan ◽  
Muhammad Muzzammil Edhi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Ductal Carcinoma ◽  
Prognostic Significance ◽  
Breast Cancer Subtypes ◽  
Prognostic Parameters ◽  
Ki67 Index ◽  
Breast Cancers ◽  
Cancer Subtypes ◽  
Luminal B ◽  
Cancer Management

Abstract Objectives Ki67 is the most commonly used marker to evaluate proliferative index in breast cancer, however no cutoff values have been clearly defined for high ki67 index. Cancer management should be according to loco-regional profile; therefore, we aimed to determine ki67 index in 1951 cases of intrinsic breast cancer subtypes and its association with other prognostic parameters in our set up. Results Triple negative breast cancers showed highest ki67 index (mean 50.9 ± 23.7%) followed by Her2neu (mean 42.6 ± 21.6%) and luminal B cancers (mean 34.9 ± 20.05%). Metaplastic and medullary breast cancers significantly showed higher ki67 index as compared to ductal carcinoma, NOS. No significant association of ki67 index was noted with any of the histologic parameters in different subtypes of breast cancer expect for tumor grade. Although, ki67 index is a valuable biomarker in breast cancer, however no independent prognostic significance of ki67 could be established in our study.

scholarly journals Evaluation of FGFR targeting in breast cancer through interrogation of patient-derived models

2021 ◽  
Vol 23 (1) ◽  
Author(s):  
Nicole J. Chew ◽  
Terry C. C. Lim Kam Sian ◽  
Elizabeth V. Nguyen ◽  
Sung-Young Shin ◽  
Jessica Yang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Therapeutic Target ◽  
Breast Cancer Subtype ◽  
Breast Cancer Subtypes ◽  
Cancer Tissue ◽  
Breast Cancers ◽  
Luminal A ◽  
Tissue Samples ◽  
Cancer Subtypes ◽  
Luminal B

Abstract Background Particular breast cancer subtypes pose a clinical challenge due to limited targeted therapeutic options and/or poor responses to the existing targeted therapies. While cell lines provide useful pre-clinical models, patient-derived xenografts (PDX) and organoids (PDO) provide significant advantages, including maintenance of genetic and phenotypic heterogeneity, 3D architecture and for PDX, tumor–stroma interactions. In this study, we applied an integrated multi-omic approach across panels of breast cancer PDXs and PDOs in order to identify candidate therapeutic targets, with a major focus on specific FGFRs. Methods MS-based phosphoproteomics, RNAseq, WES and Western blotting were used to characterize aberrantly activated protein kinases and effects of specific FGFR inhibitors. PDX and PDO were treated with the selective tyrosine kinase inhibitors AZD4547 (FGFR1-3) and BLU9931 (FGFR4). FGFR4 expression in cancer tissue samples and PDOs was assessed by immunohistochemistry. METABRIC and TCGA datasets were interrogated to identify specific FGFR alterations and their association with breast cancer subtype and patient survival. Results Phosphoproteomic profiling across 18 triple-negative breast cancers (TNBC) and 1 luminal B PDX revealed considerable heterogeneity in kinase activation, but 1/3 of PDX exhibited enhanced phosphorylation of FGFR1, FGFR2 or FGFR4. One TNBC PDX with high FGFR2 activation was exquisitely sensitive to AZD4547. Integrated ‘omic analysis revealed a novel FGFR2-SKI fusion that comprised the majority of FGFR2 joined to the C-terminal region of SKI containing the coiled-coil domains. High FGFR4 phosphorylation characterized a luminal B PDX model and treatment with BLU9931 significantly decreased tumor growth. Phosphoproteomic and transcriptomic analyses confirmed on-target action of the two anti-FGFR drugs and also revealed novel effects on the spliceosome, metabolism and extracellular matrix (AZD4547) and RIG-I-like and NOD-like receptor signaling (BLU9931). Interrogation of public datasets revealed FGFR2 amplification, fusion or mutation in TNBC and other breast cancer subtypes, while FGFR4 overexpression and amplification occurred in all breast cancer subtypes and were associated with poor prognosis. Characterization of a PDO panel identified a luminal A PDO with high FGFR4 expression that was sensitive to BLU9931 treatment, further highlighting FGFR4 as a potential therapeutic target. Conclusions This work highlights how patient-derived models of human breast cancer provide powerful platforms for therapeutic target identification and analysis of drug action, and also the potential of specific FGFRs, including FGFR4, as targets for precision treatment.

scholarly journals Reduced menin expression leads to decreased ERα expression and is correlated with the occurrence of human luminal B-like and ER-negative breast cancer subtypes

2021 ◽  
Author(s):  
Romain Teinturier ◽  
Razan Abou Ziki ◽  
Loay Kassem ◽  
Yakun Luo ◽  
Lucie Malbeteau ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Protein Expression ◽  
Reporter Gene ◽  
Breast Cancer Subtypes ◽  
Breast Cancers ◽  
Human Breast ◽  
Mcf7 Cells ◽  
Cancer Subtypes ◽  
Luminal B

Abstract Purpose Menin, encoded by the MEN1 gene, was recently reported to be involved in breast cancers, though the underlying mechanisms remain elusive. In the current study, we sought to further determine its role in mammary cells. Methods Menin expression in mammary lesions from mammary-specific Men1 mutant mice was detected using immunofluorescence staining. RT-qPCR and western blot were performed to determine the role of menin in ERα expression in human breast cancer cell lines. ChIP-qPCR and reporter gene assays were carried out to dissect the action of menin on the proximal ESR1 promoter. Menin expression in female patients with breast cancer was analyzed and its correlation with breast cancer subtypes was investigated. Results Immunofluorescence staining revealed that early mammary neoplasia in Men1 mutant mice displayed weak ERα expression. Furthermore, MEN1 silencing led to both reduced ESR1 mRNA and ERα protein expression in MCF7 and T47D cells. To further dissect the regulation of ESR1 transcription by menin, we examined whether and in which way menin could regulate the proximal ESR1 promoter, which has not been fully explored. Using ChIP analysis and reporter gene assays covering − 2500 bp to + 2000 bp of the TSS position, we showed that the activity of the proximal ESR1 promoter was markedly reduced upon menin downregulation independently of H3K4me3 status. Importantly, by analyzing the expression of menin in 354 human breast cancers, we found that a lower expression was associated with ER-negative breast cancer (P = 0.041). Moreover, among the 294 ER-positive breast cancer samples, reduced menin expression was not only associated with larger tumors (P = 0.01) and higher SBR grades (P = 0.005) but also with the luminal B-like breast cancer subtype (P = 0.006). Consistent with our clinical data, we demonstrated that GATA3 and FOXA1, co-factors in ESR1 regulation, interact physically with menin in MCF7 cells, and MEN1 knockdown led to altered protein expression of GATA3, the latter being a known marker of the luminal A subtype, in MCF7 cells. Conclusion Taken together, our data provide clues to the important role of menin in ERα regulation and the formation of breast cancer subtypes.

scholarly journals Prognostic parameters of luminal A and luminal B intrinsic breast cancer subtypes of Pakistani patients

2018 ◽  
Vol 16 (1) ◽  
Author(s):  
Atif Ali Hashmi ◽  
Saher Aijaz ◽  
Saadia Mehmood Khan ◽  
Raeesa Mahboob ◽  
Muhammad Irfan ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Subtypes ◽  
Prognostic Parameters ◽  
Luminal A ◽  
Cancer Subtypes ◽  
Luminal B

scholarly journals Crosstalk between HER2 and PD-1/PD-L1 in Breast Cancer: From Clinical Applications to Mathematical Models

Cancers ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 636 ◽  
Author(s):  
Regina Padmanabhan ◽  
Hadeel Shafeeq Kheraldine ◽  
Nader Meskin ◽  
Semir Vranic ◽  
Ala-Eddin Al Moustafa
Keyword(s):  
Breast Cancer ◽  
Mathematical Models ◽  
Immune Checkpoint ◽  
Checkpoint Inhibitors ◽  
Breast Cancers ◽  
Treatment Protocols ◽  
Cancer Subtypes ◽  
Cancer Management ◽  
Her2 Breast Cancer ◽  
Programmed Death

Breast cancer is one of the major causes of mortality in women worldwide. The most aggressive breast cancer subtypes are human epidermal growth factor receptor-positive (HER2+) and triple-negative breast cancers. Therapies targeting HER2 receptors have significantly improved HER2+ breast cancer patient outcomes. However, several recent studies have pointed out the deficiency of existing treatment protocols in combatting disease relapse and improving response rates to treatment. Overriding the inherent actions of the immune system to detect and annihilate cancer via the immune checkpoint pathways is one of the important hallmarks of cancer. Thus, restoration of these pathways by various means of immunomodulation has shown beneficial effects in the management of various types of cancers, including breast. We herein review the recent progress in the management of HER2+ breast cancer via HER2-targeted therapies, and its association with the programmed death receptor-1 (PD-1)/programmed death ligand-1 (PD-L1) axis. In order to link research in the areas of medicine and mathematics and point out specific opportunities for providing efficient theoretical analysis related to HER2+ breast cancer management, we also review mathematical models pertaining to the dynamics of HER2+ breast cancer and immune checkpoint inhibitors.

5162 Prognostic significance of breast cancer subtypes and nodal status

2009 ◽  
Vol 7 (2) ◽  
pp. 308-309
Author(s):  
J.M. Jurado ◽  
J.A. Ortega ◽  
P. Iglesias ◽  
E. Pacios ◽  
M. Delgado ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Prognostic Significance ◽  
Nodal Status ◽  
Breast Cancer Subtypes ◽  
Cancer Subtypes

Clinical Significance of p53 and bcl-2 Protein Coexpression Phenotypes in Molecular Breast Cancer Subtypes of Pre-menopausal and Post-menopausal African-American Women

2009 ◽  
Vol 75 (9) ◽  
pp. 776-784 ◽  
Author(s):  
Chukwuemeka U. Ihemelandu ◽  
Robert L. Dewitty ◽  
Lasalle D. Leffall ◽  
Siram M. Suryanarayana ◽  
Wayne A. Frederick
Keyword(s):  
Breast Cancer ◽  
African American ◽  
African American Women ◽  
Clinical Significance ◽  
Basal Cell ◽  
Prognostic Significance ◽  
Response To Therapy ◽  
Breast Cancer Subtypes ◽  
American Women ◽  
Cancer Subtypes

With the current classification of breast carcinoma into molecular subtypes with distinct prognosis and response to therapy, we sort to assess the clinical significance of p53 and bcl-2 coexpression phenotypes in invasive breast tumors and correlate this to the different molecular breast cancer subtypes in African-American women. We performed a retrospective analysis of data on p53 and bcl-2 expression. Results were correlated to molecular breast cancer subtypes, and clinicopathologic variables of prognostic significance. Our study sample included all African-American women diagnosed with breast cancer from 1998 to 2005. Twenty-seven (27.6%) per cent of cases in our study sample over-expressed p53, whereas 69.3 per cent over-expressed bcl-2 protein. A significant inverse correlation was observed between expression of p53 and bcl-2. Combined analysis of p53 and bcl-2 showed that 53.2 per cent of the tumors displayed p53(-)bcl-2(+) phenotype which was significantly associated with the luminal A subtype, whereas 11.6 per cent displayed the p53(+)bcl-2(-) phenotype which was significantly associated with the basal cell-like and Her-2/neu. Neither p53 expression nor bcl-2 expression individually or in combination were of independent prognostic significance. p53(+)bcl-2(-) phenotype is significantly correlated with the basal cell-like subtype and may be associated with the biologic aggressiveness of this cohort of molecular breast cancer.

scholarly journals Ki-67 (30-9) scoring and differentiation of Luminal A- and Luminal B-like breast cancer subtypes

2019 ◽  
Vol 178 (2) ◽  
pp. 451-458 ◽  
Author(s):  
Giuseppe Viale ◽  
Amy E. Hanlon Newell ◽  
Espen Walker ◽  
Greg Harlow ◽  
Isaac Bai ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Subtypes ◽  
Luminal A ◽  
Ki 67 ◽  
Cancer Subtypes ◽  
Luminal B

Response to neoadjuvant chemotherapy and outcome based on breast cancer subtype

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. e11516-e11516
Author(s):  
A. Guerrero-Zotano ◽  
J. Gavila ◽  
M. A. Climent ◽  
M. J. Juan ◽  
V. Guillem ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Breast Cancer Subtypes ◽  
Nuclear Staining ◽  
Luminal A ◽  
Long Term Outcome ◽  
Cancer Subtypes ◽  
Luminal B ◽  
Her 2

e11516 Background: Gene expression profiling identifies several breast cancer subtypes with different chemosensitivity and outcome. We used immunohistochemistry surrogate markers to classify tumors according to known breast cancer subtypes and examined the relationship between neoadjuvant chemotherapy (NAC) response and long-term end points, including distant disease-free survival (DDFS) and overall survival (OS). Methods: Review of clinical and pathological data from 271 breast cancer patients treated in our institution with NAC between 1991–2008. Breast cancer subtypes were defined as follows: Luminal A: Estrogen receptor positive (ER+) and/or progesterone peceptor positive (PR+), human epidermal growth factor receptor 2-positive (Her-2+); Luminal B: ER+ and/or PR+,Her-2+; Basal: ER-,PR-,Her-2-;HER2: ER-,PR-,Her-2 +. ER and PR positive scored as positive if tumor cell nuclear staining was at least 2+. Her-2 scored as positive if test DAKO scored 3+ or FISH ratio Her-2/CEP-17>2.2. Results: 121 (45.8%) patients were classifed as Luminal A; 22 (8.1%) as Luminal B; 75 (27.7%) as Basal, and 50 (18.5%) as HER2. Most patients (63%) received NAC based on anthracyclines and taxanes. 36% Her-2+ patients were treated with NAC based on trastuzumab, and 43% received trastuzumab as adjuvant treatment. Response and outcome results are shown below (Table). Independently from subtype, only four patients out of 58 with pCR relapsed. Among patients who didn´t achieved pathologic complete response (pCR), basal and HER2 subtypes have the worst outcome (4 years SG 80% and 72% respectevely) compared with Luminal A (4 years SG: 94.7%), (log-rank p=0.009). Conclusions: Basal and HER2 tumor despite high chemosensitivity have worst long term outcome, particularly if pCR is not achieved after NAC. [Table: see text] No significant financial relationships to disclose.

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