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

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Publicado en:BMC Research Notes vol. 12 (2019), p. n/a
Autor principal: Atif Ali Hashmi
Otros Autores: Kashif Ali Hashmi, Muhammad Irfan, Saadia Mehmood Khan, Edhi, Muhammad Muzzammil, Javaria Parwez Ali, Shumaila Kanwal Hashmi, Huda Asif, Faridi, Naveen, Khan, Amir
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Springer Nature B.V.
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022 |a 1756-0500 
024 7 |a 10.1186/s13104-019-4653-x  |2 doi 
035 |a 2306813775 
045 2 |b d20190101  |b d20191231 
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100 1 |a Atif Ali Hashmi 
245 1 |a Ki67 index in intrinsic breast cancer subtypes and its association with prognostic parameters 
260 |b Springer Nature B.V.  |c 2019 
513 |a Journal Article 
520 3 |a 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. 
651 4 |a Pakistan 
651 4 |a Karachi Pakistan 
653 |a Biomarkers 
653 |a Breast cancer 
653 |a Flow cytometry 
653 |a Gene amplification 
653 |a Studies 
653 |a Cancer therapies 
653 |a Chemotherapy 
653 |a Biopsy 
700 1 |a Kashif Ali Hashmi 
700 1 |a Muhammad Irfan 
700 1 |a Saadia Mehmood Khan 
700 1 |a Edhi, Muhammad Muzzammil 
700 1 |a Javaria Parwez Ali 
700 1 |a Shumaila Kanwal Hashmi 
700 1 |a Huda Asif 
700 1 |a Faridi, Naveen 
700 1 |a Khan, Amir 
773 0 |t BMC Research Notes  |g vol. 12 (2019), p. n/a 
786 0 |d ProQuest  |t Health & Medical Collection 
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