Conference

66th American Society of Hematology (ASH)

Annual Meeting and Exhibition

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December 7-10

San Diego CA, USA

Visit our booth #2753

Lunaphore at ASH

Mark your calendars for the ASH Annual Meeting in San Diego! 

Join us and engage directly with our expert scientists to discover spatial multiomics on COMET™️. Experience firsthand how you can simultaneously detect RNA and proteins within the same section, all at a subcellular resolution. 

Our protease-free, fully-automated workflow enables multiomics scalability for all stages of research. Are you interested in elevating your spatial biology projects with our multiomics solutions? Contact us now to arrange a detailed discussion with our dedicated team.

 

BOOTH #2753: PRODUCT DEMO & RAW DATASET

Stop by the Lunaphore booth to receive a walkthrough of the COMET platform and freely browse raw multiomics images on various tissue types. Book a meeting with our team to learn how top-notch laboratories, biopharma and CROs leverage COMET™.

📅 Dec 7 – 9
📍 Booth #2753

BOOK A MEETING WITH LUNAPHORE →
(Clicking on the link you will be able to select your preferred meeting time)

Poster presentations

Saturday, December 7

5:30 PM-7:30 PM

Poster 1301 - Poster Hall

Despite recent advances in the treatment of acute myeloid leukemia (AML), most patients with AML relapse and succumb to the disease. Achieving complete remissions (CRs) does not equate to cure, especially in TP53 mutated AML. Relapse after initial CRs is caused by measurable/minimal residual disease (MRD), which is resistant to prior therapies due to cell-intrinsic resistance mechanisms or is through protection by the bone marrow (BM) microenvironment. The mechanisms by which the BM microenvironment supports MRD cells are, however, largely unknown. We hypothesized that MRD AML cells possess unique characteristics distinct from leukemia cells prior to therapy and therefore may harbor targetable vulnerabilities. We performed multiplex protein analysis on AML BM biopsy specimens to dissect spatial characteristics of MRD cells and the BM microenvironment using spatial analytical techniques.

 

To comprehensively investigate the spatial architecture of TP53 mutated AML, we performed sequential multiplex immunofluorescence (seqIF) staining of formalin-fixed paraffin-embedded BM trephine biopsies using COMET (Lunaphore Technologies) with a 20-antibody panel including CD105 and CD90 for mesenchymal stromal cells (MSCs) and CD3, CD4, CD8, TIGIT, FoxP3, CD56 and CD20 for immune cell markers. We analyzed paired AML BM biopsies from 6 patients with AML with TP53 point mutations at diagnosis and at morphological CR with MRD detected by flow cytometry or PCRafter receiving Aza/Ven- or Ara-C/Idarubicin-based regimens, and 3 normal BM biopsies. Four patients had relapse after achieving CRs. TP53 mutated AML cells expressed high p53 protein levels at diagnosis and at MRD while no or extremely low levels of p53 positive cells were detected in BM biopsies from healthy donors and AML patients with TP53 truncating mutations, served as negative controls. seqIF stained slides were subjected to image analysis, where we segmented BM structures such as MSCs, lipid and bone, and classified hematopoietic cells and leukemia cells into 22 cell categories by combining deep-learning/AI-based methods and supervised classification using Visiopharm software. We determined the distances between any two cells (cell-cell relationships, e.g. AML cells and T-cells) or the distances from any one cell to each area class (cell-structure relationships, e.g. AML cells and MSCs), which allowed us to calculate spatial enrichment scores and evaluate proximity of each component in the BM.

On average, 25,000 (range 6,700-56,000) cells were analyzed per slide. seqIF detected 36.5 % (10 – 74%) of p53 positive (p53+) cells at diagnosis, and 0.23% (0.1 – 0.5%) at MRD. Clinical blast counts were 40% (22 – 74%) at diagnosis and MRD flow cytometry detected 1.1% (0 – 3.7%), suggesting that in some cases seqIF can detect malignant cells at MRD better than conventional multi-color flow cytometry in TP53 mutated AML. At both diagnosis and MRD, these p53+ cells tend to form clusters, not being randomly distributed throughout the BM. p53+ AML cells were classified using CD14, CD33, CD34, and CD71. p53+/CD71+ cells were more enriched in MRD BM samples compared to p53+/CD33+ cells (27% vs 6.8%). Intriguingly, BMs with p53+/CD71+ enrichment at MRD showed higher CD4/CD8 ratios compared to BMs at diagnosis collected from the same patients (0.68 vs 2.4). Moreover, cell-cell relationship analyses revealed that p53+/CD71+ AML cells are associated with a lower frequency of CD8+ T-cells compared to random distribution of all hematopoietic cells, suggesting that p53+/CD71+ cells are spatially sequestered from anti-AML immune cells. Cell-structure analyses revealed that the area of CD90+ MSCs is smaller than the CD105+ MSC area, consistent with previous reports (Cell 2024;187:1-21). In some cases, p53+ cells are not uniformly distributed in the BM but are proximal to specific BM niches such as CD90 or CD105 areas, suggesting that these specific MSCs support AML cell maintenance.

In conclusion, novel seqIF technique and spatial analytical approaches revealed novel MRD clusters and spatial characteristics of p53 mutated AML. Additional studies to characterize cell-cell and cell-structure interactions are ongoing.

Sunday, December 8

6:00 PM-8:00 PM

Poster 2681 - Poster Hall

Acute myeloid leukemia (AML) resides in an immune rich microenvironment. A comprehensive understanding of leukemic cells and their interactions within the leukemic bone marrow microenvironment is needed to better understand disease biology. Recent high-plex proteomics technologies have been developed to interrogate the tumor immune microenvironment, however, these systems suffer from several challenges when being applied in the context of leukemic bone marrow tissue. To address this, we optimized a high throughput bone marrow tissue-microarray based pipeline for high-plex spatial proteomics imaging in bone marrow that reliably captures the immune, tumor, and structural components of the bone marrow microenvironment at the single cell level resolution using both immunofluorescence (IF) and imaging mass cytometry (IMC) on a single slide.

As a proof-of-concept, we organized 16 bone marrow biopsies from 7 adult AML patients into 2 tissue microarrays using 1.5 mm diameter cores with a 4 µm section thickness. Each TMA was then imaged using the COMET multiplex IF platform with a 28-plex panel covering canonical markers for immune cells (n=4), AML cells (n=12), and functional markers (n=12). Using the same slide, we then performed IMC with a 25-plex panel containing 16 overlapping markers to assess concordance between methodologies for a total of 34 unique proteins imaged. Image alignment was guided by tissue structure and co-expression of shared markers onto a reference H&E-stained serial section, which provided structural components such as trabecular bone. Cells were segmented using the convolutional neural network U-Net and manually phenotyped by mean intensity thresholds. Unbiased clustering over each cell’s spatial K function was performed to identify 5 distinct regions of cellular organization. We then validated the results of our spatial workflow by staining adjacent sections using the Opal 7-color multiplex IF protocol. Gene set enrichment was performed on an integrated AML transcriptomic dataset consisting of patients from TCGA, MDACC, and BEAT-AML studies (n=480) using a published TLS signature (Cabrita et. al. Nature 2020) to assess prognostic ability.

Clustering over the spatial K function revealed 5 regions enriched in AML cells, monocyte/macrophage lineage cells, lymphocytes, unlabeled cells, and one region that contained a relatively even mix of all cell types. Interestingly, we observed the lymphocyte enriched region to only appear in 3 of the 16 tumor cores, taking the form of a dense aggregate of B and T cells, similar in structure and organization to tertiary lymphoid structures (TLS) in solid cancers. B cells in these aggregates displayed increased expression of Ki-67, suggesting proliferating B cells analogous to germinal centers. Furthermore, in tumor cores where these aggregates appeared, we found significant enrichment of monocyte and macrophage lineage cells (p=0.0164), as well as increased CD4 (p=0.017) and CD8 (p=0.041) T cell infiltration into areas of high AML cell density. Finally, we were able to validate the presence of these TLS-like aggregates by staining adjacent sections of the two TMAs using the Opal 7-color multiplex IF protocol.

We sought to further investigate the presence of TLS-like aggregates in AML by querying large public datasets with a previously validated TLS signature (Cabrita et. al. Nature 2020). Interestingly, the TLS signature strongly correlated to hypoxia, inflammation, and angiogenesis hallmark gene sets, aligning with the propensity of TLSs to form in inflammatory conditions and promote vessel growth in solid cancers. Furthermore, when dichotomizing patients by median TLS score, we found that the signature significantly correlated with overall survival (p=0.016).

We find that by utilizing the strengths of both high-plex IF and IMC in our integrative sample-to-analysis workflow, we can reliably spatially characterize the immune, tumor, and structural elements in the bone marrow microenvironment, allowing us to uncover novel cellular structures such as TLS-like aggregates and characterize their effect on the leukemic bone marrow microenvironment. Further, our study’s methodologies can be adapted for other bone marrow diseases where decalcification and autofluorescence present challenges.