Multiomic analysis identifies a high-risk signature that predicts early clinical failure in DLBCL

Kerstin Wenzl, Matthew E. Stokes, Joseph P. Novak, Allison M. Bock, Sana Khan, Melissa A. Hopper, Jordan E. Krull, Abigail R. Dropik, Janek S. Walker, Vivekananda Sarangi, Raphael Mwangi, Maria Ortiz, Nicholas Stong, C. Chris Huang, Matthew J. Maurer, Lisa Rimsza, Brian K. Link, Susan L. Slager, Yan Asmann, Patrizia Mondello, Ryan Morin, Stephen M. Ansell, Thomas M. Habermann, Thomas E. Witzig, Andrew L. Feldman, Rebecca L. King, Grzegorz Nowakowski, James R. Cerhan, Anita K. Gandhi, Anne J. Novak

Open source

DOI: 10.1038/s41408-024-01080-0
Published: 2024-06-20
Container: Blood Cancer Journal
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41408-024-01080-0,
  title = {Multiomic analysis identifies a high-risk signature that predicts early clinical failure in DLBCL},
  author = {Kerstin Wenzl and Matthew E. Stokes and Joseph P. Novak and Allison M. Bock and Sana Khan and Melissa A. Hopper and Jordan E. Krull and Abigail R. Dropik and Janek S. Walker and Vivekananda Sarangi and Raphael Mwangi and Maria Ortiz and Nicholas Stong and C. Chris Huang and Matthew J. Maurer and Lisa Rimsza and Brian K. Link and Susan L. Slager and Yan Asmann and Patrizia Mondello and Ryan Morin and Stephen M. Ansell and Thomas M. Habermann and Thomas E. Witzig and Andrew L. Feldman and Rebecca L. King and Grzegorz Nowakowski and James R. Cerhan and Anita K. Gandhi and Anne J. Novak},
  year = {2024},
  journal = {Blood Cancer Journal},
  doi = {10.1038/s41408-024-01080-0},
  url = {https://doi.org/10.1038/s41408-024-01080-0}
}

RIS

TY  - JOUR
TI  - Multiomic analysis identifies a high-risk signature that predicts early clinical failure in DLBCL
AU  - Kerstin Wenzl
AU  - Matthew E. Stokes
AU  - Joseph P. Novak
AU  - Allison M. Bock
AU  - Sana Khan
AU  - Melissa A. Hopper
AU  - Jordan E. Krull
AU  - Abigail R. Dropik
AU  - Janek S. Walker
AU  - Vivekananda Sarangi
AU  - Raphael Mwangi
AU  - Maria Ortiz
AU  - Nicholas Stong
AU  - C. Chris Huang
AU  - Matthew J. Maurer
AU  - Lisa Rimsza
AU  - Brian K. Link
AU  - Susan L. Slager
AU  - Yan Asmann
AU  - Patrizia Mondello
AU  - Ryan Morin
AU  - Stephen M. Ansell
AU  - Thomas M. Habermann
AU  - Thomas E. Witzig
AU  - Andrew L. Feldman
AU  - Rebecca L. King
AU  - Grzegorz Nowakowski
AU  - James R. Cerhan
AU  - Anita K. Gandhi
AU  - Anne J. Novak
PY  - 2024
JO  - Blood Cancer Journal
DO  - 10.1038/s41408-024-01080-0
UR  - https://doi.org/10.1038/s41408-024-01080-0
ER  -

APA

Wenzl, K., Stokes, M. E., Novak, J. P., Bock, A. M., Khan, S., Hopper, M. A., Krull, J. E., Dropik, A. R., Walker, J. S., Sarangi, V., Mwangi, R., Ortiz, M., Stong, N., Huang, C. C., Maurer, M. J., Rimsza, L., Link, B. K., Slager, S. L., Asmann, Y., Mondello, P., Morin, R., Ansell, S. M., Habermann, T. M., Witzig, T. E., Feldman, A. L., King, R. L., Nowakowski, G., Cerhan, J. R., Gandhi, A. K., & Novak, A. J. (2024). Multiomic analysis identifies a high-risk signature that predicts early clinical failure in DLBCL. Blood Cancer Journal. https://doi.org/10.1038/s41408-024-01080-0

Source records

crossref · retrieved 2026-09-26T20:48:54.478Z