
Remziye E Wessel 1, Nardin Ageeb 2, Joseph M Obeid 3, Ileana Mauldin 4, Kate A Goundry 1, Gabriel F Hanson 1, Mahdin Hossain 5, Chad Lehman 5, Ryan D Gentzler 6, Nolan A Wages 7, Craig L Slingluff Jr 4, Timothy NJ Bullock 5,8, Sepideh Dolatshahi 1,5,†, Michael G Brown 5,9,10,11,â€
Posted: June 25, 2024

Abstract
Background.
MHC class I (MHC-I) loss is frequent in non-small cell lung cancer (NSCLC) rendering tumor cells resistant to T cell lysis. NK cells kill MHC-I-deficient tumor cells, and although previous work indicated their presence at NSCLC margins, they were functionally impaired. Within, we evaluated whether NK cell and CD8 T cell infiltration and activation vary with MHC-I expression.
Methods.
We used single-stain immunohistochemistry (IHC) and Kaplan-Meier analysis to test the effect of NK cell and CD8 T cell infiltration on overall and disease-free survival. To delineate immune covariates of MHC-I-disparate lung cancers, we used multiplexed immunofluorescence (mIF) imaging followed by multivariate statistical modeling. To identify differences in infiltration and intercellular communication between IFNγ-activated and non-activated lymphocytes, we developed a computational pipeline to enumerate single cell neighborhoods from mIF images followed by multivariate discriminant analysis.
Results.
Spatial quantitation of tumor cell MHC-I expression revealed intra- and inter-tumoral heterogeneity, which was associated with the local lymphocyte landscape. IHC analysis revealed that high CD56+ cell numbers in patient tumors were positively associated with disease-free survival (DFS) (HR=0.58, p=0.064) and overall survival (OS) (HR=0.496, p=0.041). The OS association strengthened with high counts of both CD56+ and CD8+ cells (HR=0.199, p<1×10−3). mIF imaging and multivariate discriminant analysis revealed enrichment of both CD3+CD8+ T cells and CD3−CD56+ NK cells in MHC-I-bearing tumors (p<0.05). To infer associations of functional cell states and local cell-cell communication, we analyzed spatial single cell neighborhood profiles to delineate the cellular environments of IFNγ+/− NK cells and T cells. We discovered that both IFNγ+ NK and CD8 T cells were more frequently associated with other IFNγ+ lymphocytes in comparison to IFNγ− NK cells and CD8 T cells (p<1×10−30). Moreover, IFNγ+ lymphocytes were most often found clustered near MHC-I+ tumor cells.
Conclusions.
Tumor-infiltrating NK cells and CD8 T cells jointly affected control of NSCLC tumor progression. Co-association of NK and CD8 T cells was most evident in MHC-I-bearing tumors, especially in the presence of IFNγ. Frequent co-localization of IFNγ+ NK cells with other IFNγ+ lymphocytes in near-neighbor analysis suggests NSCLC lymphocyte activation is coordinately regulated.
Multiplex immunofluorescence (mIF) imaging and geospatial analysis.
Five µm-thick sections from FFPE resected tumors were analyzed. Human lymph node samples were used as a positive control. mIF was performed according to the manufacturer’s protocol using the OPAL Multiplex Manual IHC kit and antigen retrieval (AR) buffers AR6 and AR9 (Akoya Biosciences, Marlborough, Massachusetts, USA) and DIVA Decloaker AR buffer (Biocare Medical, Pacheco, California, USA). Staining sequence, antibodies, and AR buffers used are as follows: AR6, spectral DAPI (Akoya Biosciences), as described. AR9, CD3 (1:100, Cell Marque MRQ-39) Opal520 AR9, CD8 (1:500, clone C8/144B, Agilent Technologies, Santa Clara, California, USA) Opal540 AR6, CD56 (1:1000, Cell Marque MRQ-42) Opal570 DIVA, IFNγ (1:1000, NeoBiotechnologies 345 MSM4 P2 IFNG/466) Opal620 AR6, MHC-I (1:15,000, HLA class I heavy chains – HC10, Ferrone Lab) Opal650 AR6, Pan-cytokeratin (panCK) (1:200, MA513203, Invitrogen) Opal690
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Blood Group Antigen A (CD173) Antibody [HE-14]
$249.00 – $539.00Catalog Number:28-MSM4Gene:ABOApplication:ImmunofluorescenceReactivity:HumanHost:MouseIsotype:IgM
Keywords: MHC class I, CD8 T cells, natural killer cells, tumor-infiltrating lymphocytes, interferon-gamma, multiplex immunofluorescence, patient survival, tissue micro-array, spatial analysis, systems immunology, intratumor heterogeneity, cell co-localization
Publication History:
bioRxiv [Preprint]. 2024 Jun 25:2024.02.20.581048. [Version 2] doi: 10.1101/2024.02.20.581048
Footnotes:
Competing interests – CLS – Research support to UVA from Celldex (funding, drug), Merck (funding, drug), Theraclion (device staff support); Funding to UVA from Polynoma for PI role on the MAVIS Clinical Trial; Funding to UVA for roles on Scientific Advisory Boards for Immatics and CureVac. CLS receives licensing fee payments through the UVA Licensing and Ventures Group for patents for peptides used in cancer vaccines. RDG – Research support to UVA from Pfizer, Amgen, Chugai, Merck, AstraZeneca, Janssen, Daiichi Sankyo, Alliance Foundation, Takeda, ECOG/ACRIN, Jounce Therapeutics, Bristol Myers Squibb, SWOG, Helsinn, Dizal Pharmaceuticals, and Mirati. RDG received payment for service on Scientific Advisory Boards including AstraZeneca, Takeda, Gilead, Janssen, Mirati, Daiichi Sankyo, Sanofi, Oncocyte, Jazz Pharmaceuticals, Blueprint Medicines, and Merus.