Integrated proteogenomic and metabolomic profiling of acute myeloid leukemias to identify molecular subtypes and associated therapy targets - Summary - MDSpire

Integrated proteogenomic and metabolomic profiling of acute myeloid leukemias to identify molecular subtypes and associated therapy targets

  • By

  • Shih-Chun A. Chu

  • Yi Hsiao

  • Chenwei Wang

  • Jennifer E. Kyle

  • Raghav Jain

  • Yamei Deng

  • Marina A. Gritsenko

  • Leanne E. Henry

  • Jonathan T. Lei

  • Yongchao Dou

  • Bahar Tercan

  • Zhiao Shi

  • Mahnoor N. Gondal

  • Chia-Feng Tsai

  • John M. Elizarraras

  • Rosalie K. Chu

  • Fengchao Yu

  • Sunil K. Joshi

  • Xiaojun Jing

  • Daniel A. Polasky

  • Karl K. Weitz

  • Ginny Xiaohe Li

  • Vanessa L. Paurus

  • Chaevien S. Clendinen

  • Athena A. Schepmoes

  • Priscila M. Lalli

  • Josie G. Eder

  • Javier E. Flores

  • Kelly G. Stratton

  • James C. Pino

  • Camilo Posso

  • Vladislav A. Petyuk

  • Tyler J. Sagendorf

  • Yuanwei Xu

  • Omar M. Ibrahim

  • Ronald J. Moore

  • Rui Zhao

  • Jin Chen

  • Matthew E. Monroe

  • Mathangi Thiagarajan

  • Galen Hostetter

  • Chelsea Newton

  • Eunkyung An

  • Ana I. Robles

  • Xu Zhang

  • Nathan J. Edwards

  • Yin Lu

  • Hui Zhang

  • Haitham Abdelhakim

  • Paul D. Piehowski

  • Mehdi Mesri

  • Richard D. Smith

  • Chandan Kumar-Sinha

  • Cristina E. Tognon

  • Jennifer Dunlap

  • Elie Traer

  • Li Ding

  • Jeffrey W. Tyner

  • Arul M. Chinnaiyan

  • Gilbert S. Omenn

  • Karin D. Rodland

  • Saravana M. Dhanasekaran

  • Sara J. C. Gosline

  • Alexey I. Nesvizhiskii

  • Bing Zhang

  • Tao Liu

  • Marcin P. Cieslik

  • June 12, 2026

  • 0 min

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Objective:

To generate a multiomic atlas of acute myeloid leukemia (AML) linking genetic drivers to specific molecular traits and drug responses.

Approach:
    Key Findings:
    • Identified eight distinct subtypes of AML (AML-8) linking genetic drivers to specific molecular traits.
    • Detected 111,993 molecular features with high technical reproducibility.
    • NPM1 mutations affect protein levels and localization, impacting the proteomic landscape.
    Interpretation:

    The study provides a multiomic framework that enhances understanding of AML heterogeneity and potential therapeutic targets.

    Limitations:
    • The study focuses on treatment-naive individuals, which may not represent all AML patients, particularly those with prior treatments.
    • The extent of clinical applicability of the identified subtypes requires further validation.
    Conclusion:

    This multiomic atlas serves as a resource for advanced stratification and therapeutic development in AML.

Original Source(s)

Integrated proteogenomic and metabolomic profiling of acute myeloid leukemias to identify molecular subtypes and associated therapy targets

  • by Shih-Chun A. Chu, Yi Hsiao, Chenwei Wang, Jennifer E. Kyle, Raghav Jain, Yamei Deng, Marina A. Gritsenko, Leanne E. Henry, Jonathan T. Lei, Yongchao Dou, Bahar Tercan, Zhiao Shi, Mahnoor N. Gondal, Chia-Feng Tsai, John M. Elizarraras, Rosalie K. Chu, Fengchao Yu, Sunil K. Joshi, Xiaojun Jing, Daniel A. Polasky, Karl K. Weitz, Ginny Xiaohe Li, Vanessa L. Paurus, Chaevien S. Clendinen, Athena A. Schepmoes, Priscila M. Lalli, Josie G. Eder, Javier E. Flores, Kelly G. Stratton, James C. Pino, Camilo Posso, Vladislav A. Petyuk, Tyler J. Sagendorf, Yuanwei Xu, Omar M. Ibrahim, Ronald J. Moore, Rui Zhao, Jin Chen, Matthew E. Monroe, Mathangi Thiagarajan, Galen Hostetter, Chelsea Newton, Eunkyung An, Ana I. Robles, Xu Zhang, Nathan J. Edwards, Yin Lu, Hui Zhang, Haitham Abdelhakim, Paul D. Piehowski, Mehdi Mesri, Richard D. Smith, Chandan Kumar-Sinha, Cristina E. Tognon, Jennifer Dunlap, Elie Traer, Li Ding, Jeffrey W. Tyner, Arul M. Chinnaiyan, Gilbert S. Omenn, Karin D. Rodland, Saravana M. Dhanasekaran, Sara J. C. Gosline, Alexey I. Nesvizhiskii, Bing Zhang, Tao Liu, Marcin P. Cieslik

  • June 12, 2026

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