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Poster session 09

84P - Microenvironment immune differences between sexes in multiple myeloma

Date

21 Oct 2023

Session

Poster session 09

Topics

Basic Science

Tumour Site

Multiple Myeloma

Presenters

Maria de los Angeles Clavo

Citation

Annals of Oncology (2023) 34 (suppl_2): S187-S214. 10.1016/S0923-7534(23)01931-2

Authors

M.D.L.A. Clavo1, K. Paez2, U. Infante3, L. Rodrigo3, Z.D. Morante Cruz4, J. Pinto5

Author affiliations

  • 1 Facultad De Medicina Humana, San Luis Gonzaga University, 11000 - Ica/PE
  • 2 Escuela Profesional De Medicina Humana-filial Ica, Universidad Privada San Juan Bautista, 15067 - Lima/PE
  • 3 Facultad De Ciencias Biológicas, San Luis Gonzaga University, 11000 - Ica/PE
  • 4 Medical Oncology Dept., INEN - Instituto Nacional de Enfermedades Neoplasicas, 15038 - Lima/PE
  • 5 Unit Of Basic And Translational Research, Auna Ideas, Lima 41| - Lima/PE

Resources

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Abstract 84P

Background

Several studies showed that sex is a biological variable that influence immune response in several types of solid tumors; however, there is scarce information in hematological malignancies. In this work, we evaluate differences in immune cells compositions and immune response of multiple myeloma between sexes.

Methods

We conducted a computational biology study using transcriptomic data obtained from bone marrow aspiration collected from untreated multiple myeloma patients under the MMRF-COMMPASS protocol (study accession phs000748). Data was pre-processed and the expression levels were normalized to TPM (transcript per million). To evaluate differences in immune cells compositions, we quantified the immune cell in the tumor microenvironment with the analytic platform CIBERSORT. Differences in activated immune pathways was evaluated with the gene set enrichment analysis (GSEA). Pre-processed counts were normalized to TMM (trimmed mean of M-values) and GSEA was performed using the GSEA java desktop application (v4.3.2). In both analysis, patterns of immune gene sets and the immune cell composition were compared between tumors from female vs. male patients. A p<0.05 and a FDR<25% were considered statistically significant for GSEA analysis, while a p<0.05 and a FDR<0.05 6.1x10-5 was considered statistically significant for CIBERSORT analysis.

Results

Overall, 451 males and 313 female patients were included. We detected in samples from female patients an enrichment of dendritic cells activated (p=0.0023, FDR=0,0257) and NK cells activated (p=0.0059, FDR=0,0326). In contrast, we observed in male patients an enrichment of monocytes (p=6.10x 10 -5 , FDR=0,0013) and macrophages M1(p=0,0050, FDR=0,0326). The GSEA analysis revealed an overregulation of natural killer cell degranulation (p=0.007, FDR=0.21624), positive regulation of type I interferon mediated signaling pathway (p<0.0001, FDR=0.23946), and regulation of natural killer cell proliferation (p=0.01, FDR=0.2495).

Conclusions

The computational analysis showed some differences in the immune microenvironment, between sexes in multiple myeloma. Studies about the influence of these differences in the clinical outcomes of patients should be evaluated.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

The authors.

Funding

Has not received any funding.

Disclosure

All authors have declared no conflicts of interest.

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