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Leukemia & Lymphoma Volume 63, 2022 - Issue 13
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Letters to the Editor

A nomogram using cytogenetics, TP53, and NPM1 mutational status can predict responses to induction chemotherapy in AML

Konstantinos Lontosa UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USACorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-0216-3818View further author information
ORCID Icon,
Anastasia Tsagiannia UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USAView further author information
,
Mounzer Aghaa UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USAView further author information
,
Anastasios Raptisa UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USAView further author information
,
Jing-Zhou Houa UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USAView further author information
,
Rafic Faraha UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USAView further author information
,
Robert L. Rednera UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USAView further author information
,
Annie Ima UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USAView further author information
,
Kathleen A. Dorritiea UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USAView further author information
,
Alison Sehgala UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USAORCID Iconhttps://orcid.org/0000-0003-3954-7401View further author information
ORCID Icon,
James Rossettia UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USAView further author information
,
Nidhi Aggarwalb Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USAView further author information
,
Melissa Saulc Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USAView further author information
,
William Goodingd Biostatistics Facility, UPMC Hillman Cancer Center, Pittsburgh, PA, USAView further author information
&
Michael Boyiadzisa UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USAView further author information
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Pages 3257-3260 | Received 26 May 2022, Accepted 23 Aug 2022, Published online: 08 Sep 2022
 
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Acknowledgements

The authors would like to thank Lois Malehorn for editorial assistance.

Disclosure statement

Annie Im has performed consulting from Abbvie and CTI Biopharma and received research funding from Incyte. Alison Sehgal has received research funding from Kite/Gilead, Juno/BMS and Milltenyiz. Michael Boyiadzis is currently an adjunct professor of Medicine at the University of Pittsburgh and an employee of Genentech.

Additional information

Funding

K.L. is supported by the NIH TL1 TR001858. This work is supported by the National Center for Advancing Translational Sciences. This work utilized the Hillman Cancer Center Biostatistics Facility, a shared resource at the University of Pittsburgh supported by the CCSG P30CA047904.

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