Poster Display session

25P - Prognostic classification of endometrial cancer according to transcriptomic-based immunophenotype

Session Name
Poster Display session (ID 10)
Speakers
  • Edwin M. Quispe (Valencia, Spain)
Date
Thu, 23.02.2023
Time
13:00 - 13:45
Room
Exhibition and Poster area

Abstract

Background

The Cancer Genome Atlas (TCGA) Project defined four prognostic subgroups of Endometrial Cancer (EC): POLE (favorable prognosis), MSI and Copy Number Low (CNL) the intermediate prognosis; and Copy Number High (CNH) unfavorable prognosis.

The aim of the study is to perform a characterization at immune level of the prognostic EC-TCGA groups to identify those cases that could be benefited of immunotherapy.

Methods

A total of 48 FFPE EC were retrospectively selected (Ref): POLE (n=6); MSI (n=9); CNL (n=16) and CNH (n=17). Transcriptomic profiling was performed with HTG EdgeSeq Precision Immuno-Oncology Panel (PIO), which interrogates 1392 genes involved in tumor/immune interaction. The estimation of the relative abundance of immune and stromal cellular content and cell types was assigned to the 23 HTG EdgeSeq Reveal software immunophenotyping signatures. DESeq2 R package was used for differential expression analysis. Statistical analysis and data visualization was performed in R version 4.1.2. Clinicopathological information is collected in Table 1.

Results

Unsupervised analysis showed 2 clusters with different prognosis in terms of OS (p=0.0033) and DFS (p=0.00055) (Table 1). Cluster 1 was constituted by 8 MSI, 6 POLE, 14 CNL and 7 CNH while cluster 2 was mainly formed by CNH (10), followed by 1 MSI and 2 CNL. Differential expression analysis resulted in 897 genes between clusters, 400 overexpressed and 497 under expressed in Cluster 1. The 6 most significant genes were TGFB1, BEX1, CDK4, TUBB, RFC4 and TRIP13. In addition, cluster 1 was related with higher PD-1 (p=4.4·10-4), PD-L1(p=9.9·10-6) and CTL4 (p=4·10-4) expression and immune related scores (immune; p=0.00019 and stroma; p=0.00014)

Table 1
Cluster 1 Cluster 2 Total
Nº of patients (%) 35 (73) 13 (27) 48 (100)
Histological type (%) Endometrial 31 (65) 9 (19) 40 (84)
Serous 4 (8) 4 (8) 8 (16)
1 17 (35) 6 (13) 23 (48)
Grade (%) 2 11 (23) 3 (6) 14 (29)
3 7 (15) 4 (8) 11 (23)
I 25 (52) 10 (21) 35 (73)
Stage (%) II 1 (2) 0 (0) 1 (2)
III 9 (19) 3 (6) 12 (25)
TCGA Group (%) POLE 6 (12.5) 0 (0) 6 (12.5)
MSI 8 (16.7) 1 (2.1) 9 (18.8)
CNL 14 (29.2) 2 (4.2) 16 (33.3)
CNH 7 (14.6) 7 (14.6) 14 (29.2)
Median follow-up
[range] months
89,9 [5 -152]
Median OS 101,1 [26-152] 85,33 [6 -143] 92,02 [6 - 152]
Median DFS 101,1 [10-152] 81,17 [5 - 105] 89,87 [5 -152]
Relapse (%) 4/35 (11,4) 7/13 (53,8) 11/48 (22,9)
Éxitus (%) 1/35 (2,9) 4/13 (30,8) 5/48 (10,4)

Conclusions

Cluster stratification suggests implication of immune-related features in classification of EC-patients beyond TCGA subgroups. These findings could be useful in the clinical management of the disease, constituting an open window in the selection of EC patients for immunotherapy

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