Skip to main content
An official website of the United States government
Principal Investigator
Linghua Wang
Awardee Organization

University Of Tx Md Anderson Can Ctr
United States

Fiscal Year
2025
Activity Code
U01
Early Stage Investigator Grants (ESI)
Not Applicable
Project End Date

Center for Gastric Pre-Cancer Atlas of Multidimensional Evolution in 3D (GAME3D)

This application aims to address the urgent need for precision in intercepting hereditary diffuse gastric cancer (HDGC) associated with pathogenic germline CDH1 mutations, elevating lifetime cancer risk up to 80% for developing advanced diffuse gastric cancer (AGC), particularly at a young age. HDGC patients pose unique challenges in cancer interception and risk reduction due to the aggressive nature of AGC, which is associated with a poor prognosis. Consequently, those with pathogenic CDH1 mutation are advised to undergo prophylactic total gastrectomies (PTG), However, the incidence of AGC in CDH1 carries varies significantly, with only 25-45% of mutation carries develop AGC while many patients remain negative during surveillance (normal-appearing mucosa, N) or stable at the T1a stage (intramucosal stage which is considered as the “precancerous” lesion of AGC in the context of HDGC) without progression to AGC in years or even lifetime. These facts indicate that PTG, a major operation associated with chronic physical and psychosocial disabilities, may not be necessary for all CDH1 mutation carries, however, previous attempts to stratify risk based on specific variants or family cancer history have not been successful and tools to identify patients at high risk of AGC development, potentially requiring PTG, are currently lacking. This is largely due to our limited understanding of the earliest events that drive T1a lesion development and progression. To fill this void, we assembled the Center for Gastric Pre-Cancer Atlas of Multidimensional Evolution in 3D (GAME3D) that is composed of scientists who work closely together bridging multiple disciplines, have longstanding expertise in pathobiology of HDGC, and who developed innovative workflows for multimodal characterization and modeling of the N-T1a-AGC pathologic continuum in CDH1 germline mutation carriers. The overall objective of our GAME3D Research Center is to develop a multimodal, single-cell, dynamic, and 3D spatial atlas of normal-appearing mucosa, T1a lesion, and AGC through longitudinal samples from CDH1 mutation carriers that will inform of transition of at-risk mucosa to T1a lesions and then to AGC. Aim 1 will build a multimodal, dynamic, 2D spatial atlas that maps the transition of T1a lesion from at-risk mucosa and its subsequent evolution to AGC. Aim 2 will employ revolutionary technical and computational approaches and build a spatiotemporal three-dimensional (3D) atlas at single-cell resolution that captures the N-T1a-AGC pathologic continuum. Aim 3 will leverage complete use cases and 2D and 3D atlases to build computational models of tumor initiation in normal-appearing gastric mucosa, pathogenesis and progression of T1a lesions, and, ultimately, the N-T1a-AGC pathologic continuum. Our atlas is of high-value to the current HTAN repertoire as it will provide an exceptional view into the single-cell spatial landscape of the NT1a-AGC pathologic continuum, thereby generating an invaluable resource for HTAN and the field to understand the earliest phases in human AGC development in high-risk CDH1 mutation carriers and thus identify targets that are ideal to intercept this trajectory.

Publications

  • Coleman K, Schroeder A, Loth M, Zhang D, Park JH, Sung JY, Blank N, Cowan AJ, Qian X, Chen J, Jiang J, Yan H, Samarah LZ, Clemenceau JR, Jang I, Kim M, Barnfather I, Rabinowitz JD, Deng Y, Lee EB, Lazar A, Gao J, Furth EE, Hwang TH, Wang L, Thaiss CA, Hu J, Li M. Resolving tissue complexity by multimodal spatial omics modeling with MISO. Nature methods. 2025 Mar;22(3):530-538. Epub 2025 Jan 15. PMID: 39815104
  • Liu Y, Wang L. CAF-macrophage crosstalk fuels immunotherapy resistance. Gut. 2025 Aug 22. Epub 2025 Aug 22. PMID: 40846495
  • Yuan M, Jin K, Yan H, Schroeder A, Luo C, Yao S, Domoulin B, Levinsohn J, Luo T, Clemenceau JR, Jang I, Kim M, Liu Y, Deng M, Furth EE, Wilson P, Nayak A, Lubo I, Soto LMS, Wang L, Park JH, Susztak K, Hwang TH, Li M. Designing smart spatial omics experiments with S2Omics. bioRxiv : the preprint server for biology. 2025 Sep 21. PMID: 41000647
  • Pei G, Min J, Rajapakshe KI, Branchi V, Liu Y, Selvanesan BC, Thege F, Sadeghian D, Zhang D, Cho KS, Chu Y, Dai E, Han G, Li M, Yee C, Takahashi K, Garg B, Tiriac H, Bernard V, Semaan A, Grem JL, Caffrey TC, Burks JK, Lowy AM, Aguirre AJ, Grandgenett PM, Hollingsworth MA, Guerrero PA, Wang L, Maitra A. Spatial mapping of transcriptomic plasticity in metastatic pancreatic cancer. Nature. 2025 Jun;642(8066):212-221. Epub 2025 Apr 23. PMID: 40269162
  • Pei G, Liu Y, Wang L. Spatially resolving cancer: from cell states to therapy. Trends in cancer. 2026 Jan;12(1):20-33. Epub 2025 Oct 2. PMID: 41044012
  • Yuan M, Jin K, Yan H, Schroeder A, Luo C, Yao S, Dumoulin B, Levinsohn J, Luo T, Clemenceau JR, Jang I, Kim M, Liu Y, Deng M, Furth EE, Wilson P, Nayak A, Lubo I, Solis Soto LM, Wang L, Park JH, Susztak K, Hwang TH, Li M. Smart spatial omics (S2-omics) optimizes region of interest selection to capture molecular heterogeneity in diverse tissues. Nature cell biology. 2025 Dec;27(12):2225-2238. Epub 2025 Nov 26. PMID: 41298871
  • Dai Y, Knisely A, Yano M, Dang M, Hinchcliff EM, Lee S, Welp A, Chelvanambi M, Lastrapes M, Liu H, Yuan Z, Wang C, Nie H, Jean S, Montaner LJ, Hou J, Patel A, Patel S, Fellman B, Yuan Y, Sun B, Pandurengan RK, Cuentas ERP, Celestino J, Liu Y, Liu J, Hillman RT, Westin SN, Sood AK, Soliman PT, Shafer A, Meyer LA, Gershenson DM, Vining D, Ganeshan D, Lu K, Wargo JA, Peng W, Zhang R, Wang L, Jazaeri AA. PPP2R1A mutations portend improved survival after cancer immunotherapy. Nature. 2025 Aug;644(8076):537-546. Epub 2025 Jul 2. PMID: 40604275
  • Liu Y, Sinjab A, Min J, Han G, Paradiso F, Zhang Y, Wang R, Pei G, Dai Y, Liu Y, Cho KS, Dai E, Basi A, Burks JK, Rajapakshe KI, Chu Y, Jiang J, Zhang D, Yan X, Guerrero PA, Serrano A, Li M, Hwang TH, Futreal A, Ajani JA, Solis Soto LM, Jazaeri AA, Kadara H, Maitra A, Wang L. Conserved spatial subtypes and cellular neighborhoods of cancer-associated fibroblasts revealed by single-cell spatial multi-omics. Cancer cell. 2025 May 12;43(5):905-924.e6. Epub 2025 Mar 27. PMID: 40154487
  • Schroeder A, Loth ML, Luo C, Yao S, Yan H, Zhang D, Piya S, Plowey E, Hu W, Clemenceau JR, Jang I, Kim M, Barnfather I, Chan SJ, Reynolds TL, Carlile T, Cullen P, Sung JY, Tsai HH, Park JH, Hwang TH, Zhang B, Li M. Scaling up spatial transcriptomics for large-sized tissues: uncovering cellular-level tissue architecture beyond conventional platforms with iSCALE. Nature methods. 2025 Sep;22(9):1911-1922. Epub 2025 Sep 15. PMID: 40954300
  • Park S, Pettigrew MF, Cha YJ, Kim IH, Kim M, Banerjee I, Barnfather I, Clemenceau JR, Jang I, Kim H, Kim Y, Pai RK, Park JH, Samadder NJ, Song KY, Sung JY, Cheong JH, Kang J, Lee SH, Wang SC, Hwang TH. Deep Gaussian process with uncertainty estimation for microsatellite instability and immunotherapy response prediction from histology. NPJ digital medicine. 2025 May 19;8(1):294. PMID: 40389599