Background: Esophageal squamous cell carcinoma (ESCC) is one of the main histological subtypes of esophageal cancer. This study aimed to develop a gene-panel-based nomogram for identification of lymph node metastasis (LNM) in ESCC patients.Methods: RNA sequencing profiles of ESCC patients were obtained from the Gene Expression Omnibus (GEO) database and The Cancer Genome Atlas (TCGA) database. A bioinformatic approach was employed to investigate differentially expressed genes (DEGs) between ESCC patients with LNM and those without. A 4-DEGs panel was eventually identified and integrated with clinical characteristics to construct a nomogram for predicting LNM. Predictive performance of the nomogram was further evaluated by calibration curves and concordance index (C-index). Results: A total of 179 ESCC patients with 32059 genes from the GEO dataset were included. Among these genes, 3524 DEGs were correlated with lymph node involvement. Meanwhile, TCGA dataset containing 93 ESCC patients was obtained, in which 82 DEGs were selected out of 18416 genes. Among the 11 communal DEGs, four genes were identified to be (ALG3, CPOX, LMLN, PSMD2) associated with LNM. A nomogram was established by integrating the four-gene panel and three clinical characteristics including T stage, G stage and tumor location. The nomogram exhibited good performance with C-indices of 0.710 and 0.693 in the GEO and TCGA datasets, respectively. Conclusion: Our novel 4-gene-based nomogram displayed its value in prediction of LNM in ESCC patients, which may be helpful in determining treatment approach for early-stage ESCC patients.