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Lazar, Alexander J.

https://orcid.org/0000-0002-6395-4499

Mayo Clinic

The University of Texas MD Anderson Cancer Center

Citations 13

American Joint Committee on Cancer acceptance criteria for inclusion of risk models for individualized prognosis in the practice of precision medicine
Kattan, Michael W. , Hess, Kenneth R. , Amin, Mahul B. , Lü, Ying , Moons, Karl G.M., Gershenwald, Jeffrey E. , Gimotty, Phyllis A. , Guinney, Justin , Halabi, Susan , Lazar, Alexander J. , Mahar, Alyson , Weiser, Martin R. , Compton, Carolyn C. , Core, members of the AJCC Precision Medicine, Compton, Carolyn, Patel, Tushar P , Sargent, Daniel J. , Core, members of the AJCC Precision Medicine, Mahar, Alyson L , Lazar, Alexander J , Halabi, Susan , Lu, Ying , Kattan, Michael W

CA: A Cancer Journal for Clinicians | January 19, 2016 | Volume: 66 | Issue: 5 | Pages: 370-374

10.3322/caac.21339 Get It

The American Joint Committee on Cancer (AJCC) has increasingly recognized the need for more personalized probabilistic predictions than those delivered by ordinal staging systems, particularly through the use of accurate risk models or calculators. However, judging the quality and acceptability of a risk model is complex. The AJCC Precision Medicine Core conducted a 2‐day meeting to discuss characteristics necessary for a quality risk model in cancer patients. More specifically, the committee established inclusion and exclusion criteria necessary for a risk model to potentially be endorsed by the AJCC. This committee reviewed and discussed relevant literature before creating a checklist unique to this need of AJCC risk model endorsement. The committee identified 13 inclusion and 3 exclusion criteria for AJCC risk model endorsement in cancer. The emphasis centered on performance metrics, implementation clarity, and clinical relevance. The facilitation of personalized probabilistic predictions for cancer patients holds tremendous promise, and these criteria will hopefully greatly accelerate this process. Moreover, these criteria might be useful for a general audience when trying to judge the potential applicability of a published risk model in any clinical domain. CA Cancer J Clin 2016;66:370–374. © 2016 American Cancer Society.
Molecular characterization of epithelioid haemangioendotheliomas identifies novel WWTR1–CAMTA1 fusion variants
Patel, Nimesh R, Salim, Alaa A. , Sayeed, Hadi, Sarabia, Stephen F. , Hollingsworth, Faith, Warren, Mikako , Jakacky, Jared, Tanas, Munir R. , Oliveira, André M. , Lazar, Alexander J. , López‐Terrada, Dolores , Wang, Wei‐Lien , Patel, Nimesh R. , Patel, Nimesh R, Rubin, Brian P. , Lazar, Alexander J

Histopathology | March 27, 2015 | Volume: 67 | Issue: 5 | Pages: 699-708

10.1111/his.12697 Get It

AimsEpithelioid haemangioendothelioma (EHE) is a malignant vascular neoplasm. Subsets have been characterized previously by translocations resulting in either WWTR1–CAMTA1 or YAP1–TFE3 fusion. We sought to develop molecular and immunohistochemical (IHC) assays to aid in the diagnosis and characterization of EHE.Methods and resultsFifty‐two formalin‐fixed, paraffin‐embedded (FFPE) cases diagnosed between 2002 and 2014 were retrieved from the pathology files of our institutions. Reverse transcription–polymerase chain reaction (RT–PCR) assays were optimized to detect WWTR1–CAMTA1 and YAP1–TFE3 fusion transcripts in FFPE tissue and transcription factor E3 (TFE3) protein accumulation was examined by immunohistochemistry (IHC). RNA was extracted from 33 adequate samples, with more recent cases providing a greater yield of high quality RNA. Fourteen of 18 informative cases were positive for WWTR1–CAMTA1 fusion transcripts, four of which showed higher‐grade cytological features termed by some as ‘malignant EHE’. Novel in‐frame fusion transcripts were identified in four cases by direct sequencing. IHC revealed variable nuclear TFE3 staining in six of 17 cases; three with patchy staining showed WWTR1–CAMTA1 fusion. One of 18 informative cases was positive for YAP1–TFE3 fusion and showed strong nuclear TFE3 staining by IHC.ConclusionsThis study confirms the high incidence of WWTR1–CAMTA1 and YAP1–TFE3 rearrangements in EHE and indicates that the staining pattern for TFE3 IHC is critical for specificity.
Identification of a Disease-Defining Gene Fusion in Epithelioid Hemangioendothelioma
Tanas, Munir R. , Oliveira, André M. , Erickson‐Johnson, Michele R., Hespelt, Jessica, Hanwright, Philip J. , Flanagan, John J., Fenwick, Kerry, Natrajan, Rachael , Mitsopoulos, Costas , Zvelebil, Marketa , Hoch, Benjamin , Sciot, Raf , West, Robert B. , Lazar, Alexander J. , Ashworth, Alan , Lord, Christopher J. , Rubin, Mark A. , Sboner, Andrea , Luo, Yuling , Weiss, Sharon Whelan , Dêbiec‐Rychter, Maria , Reis‐Filho, Jorge S. , Gerstein, Mark , Rubin, Brian P. , Lazar, Alexander J , Sciot, Raf , Rubin, Mark A

Science Translational Medicine | September 1, 2011 | Volume: 3 | Issue: 98 | Pages: No page available

10.1126/scitranslmed.3002409 Get It

A newly identified gene fusion defines the vascular cancer epithelioid hemangioendothelioma and encodes a chimeric transcription factor.