Mairé Mathilde, Bourdon Aurélien, Soubeyran Isabelle, Lucchesi Carlo, Guyon Frédéric, Babin Guillaume, Floquet Anne, Petit Adeline, Baud Jessica, Velasco Valérie, Querleu Denis, Croce Sabrina
Department of Surgery, Institut Bergonie, 33076 Bordeaux, France.
Department of Bioinformatics, Institut Bergonie, 33076 Bordeaux, France.
Cancers (Basel). 2022 Apr 27;14(9):2188. doi: 10.3390/cancers14092188.
Lymph node metastasis is determinant in the prognosis and treatment of endometrioid endometrial cancer (EEC) but the risk-benefit balance of surgical lymph node staging remains controversial.
Describe the pathways associated with lymph node metastases in EEC detected by whole RNA sequencing.
RNA-sequencing was performed on a retrospective series of 30 non-metastatic EEC. N+ and N- patients were matched for tumoral size, tumoral grade and myometrial invasion.
Twenty-eight EECs were analyzable (16 N+ and 12 N-). Bioinformatics Unsupervised analysis revealed three patterns of expression, enriched in N+, mix of N+/N- and enriched in N-, respectively. The cluster with only N+ patient overexpressed extra cellular matrix, epithelial to mesenchymal and smooth muscle contraction pathways with respect to the N- profile. Differential expression analysis between N+ and N- was used to generate a 54-genes signature with an 87% accuracy.
RNA-expression analysis provides a basis to develop a gene expression-based signature that could pre-operatively predict lymph node invasion.
淋巴结转移是子宫内膜样腺癌（EEC）预后和治疗的决定性因素，但手术淋巴结分期的风险效益平衡仍存在争议。
描述通过全RNA测序检测到的EEC中与淋巴结转移相关的途径。
对30例非转移性EEC的回顾性系列进行RNA测序。N+和N-患者在肿瘤大小、肿瘤分级和肌层浸润方面进行匹配。
28例EEC可分析（16例N+和12例N-）。生物信息学无监督分析揭示了三种表达模式，分别在N+中富集、N+/N-混合和N-中富集。仅N+患者的聚类相对于N-谱过度表达细胞外基质、上皮-间质转化和平滑肌收缩途径。N+和N-之间的差异表达分析用于生成一个准确率为87%的54基因特征。
RNA表达分析为开发基于基因表达的特征提供了基础，该特征可在术前预测淋巴结侵犯。
