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@ARTICLE{Cai:300743,
      author       = {L. Cai and F. Wu and Q. Zhou and Y. Gao and B. Yao and R.
                      J. DeBerardinis and G. K. Acquaah-Mensah and V. Aidinis and
                      J. E. Beane and S. Biswal and T. Chen and C. P.
                      Concepcion-Crisol and B. M. Grüner and D. Jia and R. A.
                      Jones and J. M. Kurie and M. G. Lee and P. Lindahl and Y.
                      Lissanu and C. Lorz and D. MacPherson and R. Martinelli and
                      P. K. Mazur and S. A. Mazzilli and S. Mii and H. P. Moll and
                      R. A. Moorehead and E. E. Morrisey and S. R. Ng and M. G.
                      Oser and A. R. Pandiri and C. A. Powell and G. Ramadori and
                      M. Santos and E. L. Snyder and R. Sotillo$^*$ and K.-Y. Su
                      and T. Taki and K. Taparra and P. T. Tran and Y. Xia and J.
                      E. van Veen and M. M. Winslow and G. Xiao and C. M. Rudin
                      and T. G. Oliver and Y. Xie and J. D. Minna},
      title        = {{T}he {L}ung {C}ancer {A}utochthonous {M}odel {G}ene
                      {E}xpression {D}atabase {E}nables {C}ross-{S}tudy
                      {C}omparisons of the {T}ranscriptomic {L}andscapes {A}cross
                      {M}ouse {M}odels.},
      journal      = {Cancer research},
      volume       = {85},
      number       = {10},
      issn         = {0099-7013},
      address      = {Philadelphia, Pa.},
      publisher    = {AACR},
      reportid     = {DKFZ-2025-00903},
      pages        = {1769-1783},
      year         = {2025},
      note         = {2025 May 15;85(10):1769-1783},
      abstract     = {Lung cancer, the leading cause of cancer mortality,
                      exhibits diverse histologic subtypes and genetic
                      complexities. Numerous preclinical mouse models have been
                      developed to study lung cancer, but data from these models
                      are disparate, siloed, and difficult to compare in a
                      centralized fashion. In this study, we established the Lung
                      Cancer Autochthonous Model Gene Expression Database
                      (LCAMGDB), an extensive repository of 1,354 samples from 77
                      transcriptomic datasets covering 974 samples from
                      genetically engineered mouse models (GEMM), 368 samples from
                      carcinogen-induced models, and 12 samples from a spontaneous
                      model. Meticulous curation and collaboration with data
                      depositors produced a robust and comprehensive database,
                      enhancing the fidelity of the genetic landscape it depicts.
                      The LCAMGDB aligned 859 tumors from GEMMs with human lung
                      cancer mutations, enabling comparative analysis and
                      revealing a pressing need to broaden the diversity of
                      genetic aberrations modeled in the GEMMs. To accompany this
                      resource, a web application was developed that offers
                      researchers intuitive tools for in-depth gene expression
                      analysis. With standardized reprocessing of gene expression
                      data, the LCAMGDB serves as a powerful platform for
                      cross-study comparison and lays the groundwork for future
                      research, aiming to bridge the gap between mouse models and
                      human lung cancer for improved translational relevance.
                      Significance: The Lung Cancer Autochthonous Model Gene
                      Expression Database (LCAMGDB) provides a comprehensive and
                      accessible resource for the research community to
                      investigate lung cancer biology in mouse models.},
      cin          = {B220},
      ddc          = {610},
      cid          = {I:(DE-He78)B220-20160331},
      pnm          = {312 - Funktionelle und strukturelle Genomforschung
                      (POF4-312)},
      pid          = {G:(DE-HGF)POF4-312},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:40298430},
      doi          = {10.1158/0008-5472.CAN-24-1607},
      url          = {https://inrepo02.dkfz.de/record/300743},
}