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Rohit Bhargava

Researcher at University of Pittsburgh

Publications -  179
Citations -  14899

Rohit Bhargava is an academic researcher from University of Pittsburgh. The author has contributed to research in topics: Breast cancer & Cancer. The author has an hindex of 37, co-authored 151 publications receiving 12710 citations.

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Comprehensive molecular portraits of human breast tumours

Daniel C. Koboldt, +355 more
- 04 Oct 2012 - 
TL;DR: The ability to integrate information across platforms provided key insights into previously defined gene expression subtypes and demonstrated the existence of four main breast cancer classes when combining data from five platforms, each of which shows significant molecular heterogeneity.
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Androgen receptor in breast cancer: expression in estrogen receptor-positive tumors and in estrogen receptor-negative tumors with apocrine differentiation

TL;DR: Androgen receptor-targeted therapy in estrogen/progesterone receptor-negative tumors may provide an inexpensive alternative to usual high-dose chemotherapy with or without trastuzumab and suggest that these tumors together comprises the ‘molecular apocrine’ group described previously.
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A breast cancer stem cell niche supported by juxtacrine signalling from monocytes and macrophages

TL;DR: It is shown that tumour-associated monocytes and macrophages create a CSC niche through juxtacrine signalling with CSCs through upregulating the expression of CD90 and EphA4, which mediate the physical interactions of C SCs with TAMs by directly binding with their respective counter-receptors on these cells.
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Mammaglobin vs GCDFP-15: an immunohistologic validation survey for sensitivity and specificity.

TL;DR: Mammaglobin is a more sensitive marker than GCDFP-15 for breast carcinoma; however, it lacks the specificity of GCD FP-15.
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Histopathologic variables predict Oncotype DX recurrence score.

TL;DR: Although the Oncotype DX™ Recurrence Score holds potential, further validation of its independent value beyond that of histopathologic analysis is necessary before it can be implemented in clinical decision making.