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Quantitative assessment of PTEN loss (qPTEN) is strongly associated with biochemical recurrence and may improve treatment decisions after surgery
Quantitative assessment of PTEN loss (qPTEN) is strongly associated with biochemical recurrence and may improve treatment decisions after surgery
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Quantitative assessment of PTEN loss (qPTEN) is strongly associated with biochemical recurrence and may improve treatment decisions after surgery

Tamara Jamaspishvili Palak Patel; Yi Niu; Thiago Vidotto; Véronique Ouellet; Anne Marie Mes-Masson; Tamara Lotan; Jeremy Andrew Squire; Yingwei Peng; D Siemens; David Berman; USCAP Annual Meeting (109. 2020 Los Angeles)

Modern Pathology London v. 33, suppl. 2, res. 932, 2020

London 2020

Localização: FMRP - Fac. Medicina de Ribeirão Preto    (pcd 3028652 Acervo Digital ) e outros locais(Acessar)

2
Hybrid oncocytic/chromophobe renal tumors are molecularly distinct from oncocytoma and chromophobe renal cell carcinoma
Hybrid oncocytic/chromophobe renal tumors are molecularly distinct from oncocytoma and chromophobe renal cell carcinoma
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Artigo 		Adicionar ao Meu Espaço

Hybrid oncocytic/chromophobe renal tumors are molecularly distinct from oncocytoma and chromophobe renal cell carcinoma

Ruiz-Cordero, Roberto ; Rao, Priya ; Li, Lerong ; Qi, Yuan ; Atherton, Daniel ; Peng, Bo ; Singh, Rajesh R ; Kim, Tae-Beom ; Kawakami, Fumi ; Routbort, Mark J ; Alouch, Nail ; Chow, Chi-Wan B ; Tang, Ximing ; Lu, Wei ; Brimo, Fadi ; Matin, Surena F ; Wood, Christopher G ; Tannir, Nizar M ; Wistuba, Ignacio I ; Chen, Ken ; Wang, Jing ; Medeiros, L Jeffrey ; Karam, Jose A ; Tamboli, Pheroze ; Sircar, Kanishka

Modern pathology, 2019-11, Vol.32 (11), p.1698-1707 [Periódico revisado por pares]

United States: Elsevier Limited

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3
Built to Last? Reproducibility and Reusability of Deep Learning Algorithms in Computational Pathology
Built to Last? Reproducibility and Reusability of Deep Learning Algorithms in Computational Pathology
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Artigo 		Adicionar ao Meu Espaço

Built to Last? Reproducibility and Reusability of Deep Learning Algorithms in Computational Pathology

Wagner, Sophia J ; Matek, Christian ; Shetab Boushehri, Sayedali ; Boxberg, Melanie ; Lamm, Lorenz ; Sadafi, Ario ; Winter, Dominik J E ; Marr, Carsten ; Peng, Tingying

Modern pathology, 2024-01, Vol.37 (1), p.100350-100350, Article 100350 [Periódico revisado por pares]

United States

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4
Molecular alterations in columnar cell lesions of the breast
Molecular alterations in columnar cell lesions of the breast
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Molecular alterations in columnar cell lesions of the breast

Dabbs, David J ; Carter, Gloria ; Fudge, Mary ; Peng, Yan ; Swalsky, Pat ; Finkelstein, Sidney

Modern pathology, 2006-03, Vol.19 (3), p.344-349 [Periódico revisado por pares]

United States: Elsevier Inc

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5
Multiregion gene expression profiling reveals heterogeneity in molecular subtypes and immunotherapy response signatures in lung cancer
Multiregion gene expression profiling reveals heterogeneity in molecular subtypes and immunotherapy response signatures in lung cancer
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Multiregion gene expression profiling reveals heterogeneity in molecular subtypes and immunotherapy response signatures in lung cancer

Lee, Won-Chul ; Diao, Lixia ; Wang, Jing ; Zhang, Jianhua ; Roarty, Emily B. ; Varghese, Susan ; Chow, Chi-Wan ; Fujimoto, Junya ; Behrens, Carmen ; Cascone, Tina ; Peng, Weiyi ; Kalhor, Neda ; Moran, Cesar A. ; Weissferdt, Annikka ; Johnson, Faye M. ; William, William N. ; Swisher, Stephen G. ; Lee, J. Jack ; Hong, Waun Ki ; Heymach, John V. ; Wistuba, Ignacio I. ; Futreal, P. Andrew ; Zhang, Jianjun

Modern pathology, 2018-06, Vol.31 (6), p.947-955 [Periódico revisado por pares]

United States: Elsevier Inc

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6
Involvement of the PI3K/Akt pathway in myxoid/round cell liposarcoma
Involvement of the PI3K/Akt pathway in myxoid/round cell liposarcoma
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Involvement of the PI3K/Akt pathway in myxoid/round cell liposarcoma

Demicco, Elizabeth G ; Torres, Keila E ; Ghadimi, Markus P ; Colombo, Chiara ; Bolshakov, Svetlana ; Hoffman, Aviad ; Peng, Tingsheng ; Bovée, Judith V M G ; Wang, Wei-Lien ; Lev, Dina ; Lazar, Alexander J

Modern pathology, 2012-02, Vol.25 (2), p.212-221 [Periódico revisado por pares]

United States: Elsevier Inc

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Deste Autor:

  1. Ouellet, V
  2. Vidotto, T
  3. Siemens, D
  4. USCAP Annual Meeting
  5. Mes-Masson, A

Neste Assunto:

  1. Humans
  2. Life Sciences & Biomedicine
  3. Female
  4. Pathology
  5. Science & Technology

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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