Program Official

Principal Investigator

Nasser Khaled
Altorki
Awardee Organization

Weill Medical Coll Of Cornell Univ
United States

Fiscal Year
2021
Activity Code
UG3
Project End Date

Intercepting progression from pre-invasive to invasive lung adenocarcinoma

Despite advances in therapeutic strategies, non-small cell lung cancer remains a deadly disease. An improved understanding of the biology of lung cancer is needed to intercept the disease at an early point in its progression. Our project, which is inspired by that challenge, focuses on events transpiring in the earliest radiographically-detected manifestation of lung cancer: the computerized tomography (CT)-detected nonsolid nodule, of which as many as 40% harbor frankly invasive adenocarcinoma. Thus, despite conventional wisdom that CT-detected non-solid nodules represent pre or minimally invasive malignancy, clearly transition to more invasive histologies occurs in a significant proportion of these nodules. Understanding the cellular and molecular changes within non-solid nodules that drive progression will provide unique and novel insights into the fundamental mechanisms of lung carcinogenesis. We hypothesize that alterations in cells of the tumor microenvironment (TME) have a role in initiating and supporting this progression. In agreement with that proposal, our preliminary multiplex immunofluorescence (IF) studies suggest that progression to a more invasive phenotype is associated with the development of a strong immunosuppressive TME. In this project we test our hypothesis using multidimensional methods to profile the TME and to determine the crosstalk between cancer cells and the TME in pre-invasive to invasive human lung non-solid adenocarcinomas. Comparative analysis of the cellular and molecular events associated with the distinct histological stages will lead to identification of the critical events triggering progression and thereby identify targets to intercept disease progression. We will use appropriate mouse models in pre-clinical studies to develop these targets as strategies to intercept progression of pre-invasive to invasive cancer. In the first phase of these studies (UG3 phase), we will define TME alterations associated with progression of lung nodules using RNAseq profiling and image-based methods (multiplex IF and imaging CyTOF) in studies of our archival tumor samples. These studies will generate a comprehensive catalogue of the cellular and molecular events that trigger progression of indolent lesions to frankly invasive cancers, with a strong focus on immune mechanisms. These analyses will provide novel and detailed insights into how the composition and activity of the TME changes with progression. In the second phase (UH3 phase), we will leverage mouse models to explore interception strategies to target immune mechanisms and prevent progression. The proposed cohort satisfies the RFA’s focus on High-Risk Cohorts for Cancer-Immunoprevention Studies, since lung nodules are premalignancies highly prevalent in smokers.

Publications

  • Altorki NK, Borczuk AC, Harrison S, Groner LK, Bhinder B, Mittal V, Elemento O, McGraw TE. Global evolution of the tumor microenvironment associated with progression from preinvasive invasive to invasive human lung adenocarcinoma. Cell reports. 2022 Apr 5;39(1):110639. PMID: 35385730
  • Lemma EY, Letian A, Altorki NK, McGraw TE. Regulation of PD-L1 Trafficking from Synthesis to Degradation. Cancer immunology research. 2023 Jul 5;11(7):866-874. PMID: 37290119
  • Altorki N, Sedrakyan A. Commentary: Can machine learning reduce readmissions after esophagectomy? A consummation devoutly to be wished. The Journal of thoracic and cardiovascular surgery. 2021 Jun;161(6):1944-1945. Epub 2020 Jun 1. PMID: 32711979
  • Shah Y, Verma A, Marderstein AR, White J, Bhinder B, Garcia Medina JS, Elemento O. Pan-cancer analysis reveals molecular patterns associated with age. Cell reports. 2021 Dec 7;37(10):110100. PMID: 34879281
  • Bhinder B, Gilvary C, Madhukar NS, Elemento O. Artificial Intelligence in Cancer Research and Precision Medicine. Cancer discovery. 2021 Apr;11(4):900-915. PMID: 33811123
  • Huang SH, Sartorello G, Shen PT, Xu C, Elemento O, Shvets G. Metasurface-enhanced infrared spectroscopy in multiwell format for real-time assaying of live cells. Lab on a chip. 2023 May 2;23(9):2228-2240. PMID: 37010356
  • Elemento O. Towards artificial intelligence-driven pathology assessment for hematological malignancies. Blood cancer discovery. 2021 May;2(3):195-197. Epub 2021 Mar 22. PMID: 34027414
  • Ban Y, Markowitz GJ, Zou Y, Ramchandani D, Kraynak J, Sheng J, Lee SB, Wong STC, Altorki NK, Gao D, Mittal V. Radiation-activated secretory proteins of Scgb1a1+ club cells increase the efficacy of immune checkpoint blockade in lung cancer. Nature cancer. 2021 Sep;2(9):919-931. Epub 2021 Sep 20. PMID: 34917944
  • Annapragada A, Sikora A, Bollard C, Conejo-Garcia J, Cruz CR, Demehri S, Demetriou M, Demirdjian L, Fong L, Horowitz M, Hutson A, Kadash-Edmondson K, Kufe D, Lipkin S, Liu S, McCarthy C, Morgan M, Morris Z, Pan Y, Pasquini M, Schoenberger S, Van Allen E, Vilar E, Xing Y, Zha W, IOTN Consortium, Odunsi A. Cancer Moonshot Immuno-Oncology Translational Network (IOTN): accelerating the clinical translation of basic discoveries for improving immunotherapy and immunoprevention of cancer. Journal for immunotherapy of cancer. 2020 Jun;8. (1). PMID: 32554617
  • Ma B, Anandasabapathy N. Immune Checkpoint Blockade and Skin Toxicity Pathogenesis. The Journal of investigative dermatology. 2022 Mar;142(3 Pt B):951-959. Epub 2021 Nov 26. PMID: 34844731
  • Letian A, Lemma EY, Cavaliere P, Dephoure N, Altorki NK, McGraw TE. Proximity proteome mapping reveals PD-L1-dependent pathways disrupted by anti-PD-L1 antibody specifically in EGFR-mutant lung cancer cells. Cell communication and signaling : CCS. 2023 Mar 13;21(1):58. PMID: 36915197