Skip to main content

Potential ‘anti-cancer’ effects of esketamine on proliferation, apoptosis, migration and invasion in esophageal squamous carcinoma cells



Esketamine, an N-methyl-D-aspartate receptor antagonist, is commonly used for anesthesia and analgesia clinically. It was reported to negatively regulate cell proliferation, metastasis and apoptosis in cancer cells, including lung cancer and pancreatic cancer. However, its impact on esophageal squamous cell carcinoma (ESCC) malignance and underlying mechanism remain elusive. This study was aimed to investigate the antitumor effects of esketamine on ESCC in vitro.


ESCC cell lines (KYSE-30 and KYSE-150) were cultured and treated with different concentrations (0.1, 0.2, 0.4, 0.8, 1, 2 mM) of esketamine. Their proliferation, apoptosis, migration and invasion were assessed with various assays. Furthermore, mass spectrometry-based proteomic analysis and GO/KEGG enrichment analysis were applied to characterize the differentially expressed proteins (DEPs) with or without esketamine treatment. Some key proteins identified from proteomic analysis were further validated with Western blotting and bioinformatics analysis.


Esketamine significantly inhibited the proliferation, migration, invasion and promoted apoptosis of the both types of cell lines in a dose- and time-dependent manner. A total of 321 common DEPs, including 97 upregulated and 224 downregulated proteins, were found with HPLC–MS analyses. GO/KEGG enrichment analysis suggested that esketamine affected cell population proliferation, GTPase activity and Apelin signaling pathway. The ERCC6L, AHR and KIF2C protein expression was significantly downregulated in these ESCC cells treated with esketamine compared to the controls and their changes were associated with the suppressive effects of esketamine on ESCC through bioinformatics analysis.


Our work demonstrated that esketamine has potential anti-ESCC properties in vitro but subjected to further in vivo and clinical study.


Esophageal carcinoma is the 8th most common cancer and the 6th leading cause of cancer-related deaths worldwide [1]. Esophageal squamous cell carcinoma (ESCC) accounts up to 90% of all esophageal cancer cases globally and has a 5-year survival rate less than 20% [2]. A large number of ESCC survivors require comprehensive analgesic management to relives the devastating perioperative and cancer-related pain. Accumulating evidence demonstrated that commonly used analgesics may have potential effects on stress, immune system and cancer recurrence [3, 4], while general anesthetics may act to make miRNAs modification changing cancer cell biology [5]. In addition, opioids, such as morphine commonly used for severe pain, was reported to result in cancer proliferation, tumor microenvironment changes and chemoresistance [6,7,8]. Therefore, exploring safe and effective analgesics with potential anti-cancer properties for ESCC using during and/or after cancer surgery would be benefit to cancer patients.

Ketamine is a commonly used N-methyl-D-aspartate (NMDA) receptor antagonist clinically as an anesthetic, analgesic or sedative agent [9]. Despite its undesirable side effects, including dissociative effects and abuse potential, ketamine is currently favored by clinicians due to its fast-onset, short half-life, minimal suppressive effects on respiration and pronounced analgesic properties [10]. Recently, its new derivative esketamine with stronger NMDA receptor-binding affinity, potent analgesic and fewer side-effects than ketamine was introduced into clinical practice. In addition to their analgesic effect [11], ketamine and esketamine have recently been reported to have potential antidepressant [12] and antitumor properties [13, 14] but underlying mechanisms remain unknown.

NMDA receptors were reported to be expressed in various cancers and associated with cancer initiation, disease progression and poor prognosis [15]. Furthermore, NMDA receptor antagonists, e.g., MK-801, decreased cancer cell viability and suppressed tumor cell growth [16]. The previous studies also showed that NMDA receptor antagonists such as ketamine and sketamine had anti-proliferative and anti-invasive effects in some cancers, including pancreatic cancer, colorectal cancer, ovarian cancer and neuroglioma [14, 16,17,18]. In this study, we aimed to investigate the potential suppressive effects of esketamine at different concentrations on proliferation, apoptosis, migration and invasion of two ESCC cell lines (KYSE-30 and KYSE-150) through proteomics, bioinformatics and western blotting analyses.


Cell culture and reagents

Human esophageal squamous cell carcinoma (ESCC) is very common clinically counted up to 90% esophageal cancer cases [2]. Therefore, two cell lines (KYSE-30 and KYSE-150) its phenotype, purchased from Procell Life Science&Technology Co., Ltd. (Wuhan, Hubei, China) and stored in the Dr. Baoen Shan’s laboratory from the Research Center of the Fourth Hospital of Hebei Medical University (Shijiazhuang, China) [19], were used in the present study. They were cultured with RPMI 1640 medium supplemented with 10% bovine serum. The cells were grown in monolayer at 37 °C, 5% CO2 balanced with air, and 60% humidity. Esketamine hydrochloride was purchased from Jiangsu Hengrui Pharmaceutical Co., Ltd (China). It was dissolved in normal saline, with the pH adjusted to 7.4, and kept at − 20 °C. When reaching 90% confluence, the cultured ESCC cells were treated with esketamine at the concentrations of 0.1, 0.2, 0.4, 0.8, 1 or 2 mM for various duration up to 72 h. Saline-treated cells were served as the control.

Cell viability and proliferation assay

Cell viability was measured using 3-(4,5-dimethylthiazol-zyl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazoliuzolium, inner salt (MTS) assay described as previous research [20]. Briefly, KYSE-30 and KYSE-150 cells were seeded in 96-well plates (approximately 5 × 103 cells/well) and then treated with the doses of esketamine (0, 0.4, 0.8, 1, 2 mM) up to 72 h [17, 21]. Those doses and the duration did not completely “kill” rather than injured cancer cells and hence the underlying mechanisms can be investigated. Next, 15 μL of MTS solution was added to each well followed by incubation for 2 h at 37 °C in the dark. Absorbance at 492 nm was measured using a microplate reader (Thermo Fisher Scientific Inc., MA, United States). The inhibition rates of ESCC was calculated as follows:

$$[{1} - \left( {{\text{OD esketamine treated}} - {\text{OD blank}}} \right)/\left( {{\text{OD control}} - {\text{OD blank}}} \right)]\, \times \,{1}00\% .$$

For colony formation assay, cells were seeded on 6-well plate at a seeding density of 1000 cells per well. After 2 weeks of incubation, visible colonies were fixed with 4% paraformaldehyde, stained with 1% crystal violet solution and then assessed.

Apoptosis assay

The effect of esketamine on ESCC cell apoptosis was determined by flow cytometric analysis. Briefly, 5 × 105 cells were seeded and washed with phosphate-buffered saline (PBS). Then, cells were resuspended in 500 µl of binding buffer and incubated with 5 µl annexin V (FITC) and 5 µl propidium iodide (PI) for 5 min at room temperature. Finally, cells were analyzed with flow cytometry (FACSCalibur; BD Biosciences).

Wound healing assay

Cells were seeded into 6-well plates at a density of 5 × 105 cells/well and cultured in serum-free medium. When cells grown to approximately 80% confluence, cell monolayers were scratched with a 200 μl pipette tip. The medium was then replaced with fresh medium containing 0, 0.05, 0.1, or 0.2 mM esketamine. At 0 h, 24 h and 48 h following scratching, each scratch was measured with an inverted microscope from three independent visual fields (40×).

Transwell invasion assay

A total of 1 × 105 cells with 0.2 ml serum-free RPMI 1640 medium were plated in the upper chamber (Boyden chamber; pore size of 8 μm; coated with 200 μg/ml Matrigel) (Beyotime Biotechnology), while the lower chamber was filled with 0.6 ml RPMI 1640 medium containing 10% fetal bovine as a chemoattractant. After 18 h incubation, non-invading cells on the upper surface of the upper chamber were removed, and the membrane-penetrating cells were stained in 0.5% crystal violet for 15 min. The number of stained cells that passed through the transwell membrane was counted from three independent visual fields (100×).

Mass spectrometry-based proteomic analysis

To detect the proteins changes and underlying mechanism for the antitumor effect of esketamine, we performed liquid chromatography–mass spectrometry/mass spectrometry analysis as previously described [22]. Briefly, after incubated with 0, 1, 2 mM esketamine for 24 h, KYSE30 cellular proteins were extracted by SDT lysis buffer. The protein concentration was measured with the BCA protein assay. Then, we performed a filter-aided sample preparation (FASP) procedure to digest protein. After digestion, eluted peptides were further purified and extracted using homemade C18 tips (Empore) in 80% ACN and 2% TFA. Peptide quantification was performed using a BCA peptide quantification kit (Thermo). For proteomics analysis, 100 μg peptide from each sample was loaded onto the HPLC Easy nLC1200 system with a Q Exactive HF mass spectrometer (Thermo Fisher Scientific) based on the manufacturer’s instructions. Raw MS data were processed and analyzed in Proteome Discoverer (version 2.2, Thermo-Fischer Scientific) based on the label-free quantification method. All resulting MS data were uploaded and searched against UniProt Human database.

Bioinformatic analysis of differentially expressed proteins

We first carried out differential protein expression analysis between the different doses of the esketamine groups with the control group to determine differentially expressed proteins (DEPs). The cutoff criteria for DEPs are |log2(FoldChange)|> 0.58 and P value < 0.05. After identification of DEPs, we used online web tool ( to perform their functional annotations, including the gene ontologies (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways enrichment. Top 20 of GO/KEGG enriched pathway were listed in figures, and numbers and color intensity indicated enrichment score. Then, we draw a Venn diagram of DEPs via xiantaoxueshu online tool (

The mRNA expression of these proteins in ESCA patients were extracted from GEPIA database ( [23]. Then, we constructed a network of the 5 selected proteins based on the STING interactome database (version 11.5) with medium confidence score 0.4 [24].

Western blotting analysis

KYSE-30 and KYSE-150cells were treated with esketamine (0, 1, 2 mM) for 48 h. Then, the harvested cells were washed with PBS and lysed in ice-cold RIPA lysis buffer containing protease inhibitors to obtain the total protein. The cell lysates were cleared by centrifugation 4 °C and protein concentration was determined by BCA assay. Protein samples (40 μg) were separated on 10% SDS–PAGE and then transferred onto PVDF membrane (Millipore). After blocking the membranes with 5% BSA for 2 h at room temperature, they were incubated overnight at 4 °C with primary antibodies against ERCC6L (1:1000), AHR (1:1000), KIF2C (1:1000), KNTC1 (1:500), BCAT1 (1:1000) or GAPDH (1:2000). The HRP-labeled secondary antibody was anti-rabbit IgG and the protein bands were visualized in an Odyssey Infrared Imaging System (LI-COR). Each protein expression level was normalized to those of GAPDH. Antibodies against ERCC6L, KIF2C, BCAT1, AHR and GAPDH were purchased from Proteintech. Antibodies against KNTC1 was obtained from Abcam.

Correlation analysis between ERCC6L, AHR and KIF2C with diagnostic performance, immune cell infiltration and clinicopathological characteristics of ESCA patients from TCGA database

The TCGA–ESCA mRNA expression profiles and corresponding clinical data were downloaded from the TCGA database ( We then performed diagnostic ROC curve analysis using pROC” (v1.17.0.1) to evaluate the predictive value of these protein-coding mRNA expression levels in ESCC patients. We also compared these protein-coding mRNA difference between the groups divided by clinicopathological parameters, including clinical stages, age, race and body mass index. To evaluate the relationship of these protein-coding mRNA with tumor infiltration status of ESCA, we used ssGSEA algorithm in the “GSVA” (v1.34.0) R package [25, 26]. Then, the correlation coefficient and significance were determined with Spearman’s coefficient analysis.

Statistical analysis

All data were expressed as the mean ± SEM, and one-way ANOVA followed by Tukey’s multiple comparisons test was done with GraphPad Prism 9.0 (GraphPad Software, USA). Differences with P values less than 0.05 were considered to be statistically significant. *P < 0.05; ** P < 0.01; *** P < 0.001.


Esketamine inhibited the viability and proliferation of ESCC cell in vitro

The molecular structure and 3D molecular structure of esketamine were obtained from PubChem database and shown in Fig. 1A, B. The overall experimental procedures are shown in Fig. 1C. To assess the anticancer potential of esketamine on ESCC, we first investigated the effects of esketamine on the inhibition rate of ESCC cells, which were significantly upregulated after esketamine exposure for 48 h and 72 h (Fig. 2A–D). Moreover, ESCC cell growth inhibition increased with increasing concentration of esketamine. The inhibition rate of KYSE-30 and KYSE-150 tumor growth by 2 mM esketamine at 72 h was 39.50% and 22.44%, respectively. KYSE-30 was more prone to the inhibition by esketamine and the similar patten changes was found in the colony formation assay. As shown in Fig. 2E, F, the colonies number in both cell lines were concentration-dependently decreased after esketamine exposure.

Fig. 1
figure 1

Molecular structure and 3D molecular structure of esketamine from PubChem database (A, B). Overview of the experimental workflow (C)

Fig. 2
figure 2

Esketamine suppressed the esophageal squamous carcinoma cells (ESCC) growth. ESCC KYSE-30 and KYSE-150 cells were exposed to concentration gradient of esketamine for 48 h or 72 h, and then cell proliferation was assessed with the MTS assay (AD). Colony forming assays were performed after incubation with indicated concentrations of esketamine for 24 h (E, F). Data are presented as mean ± SEM; *P < 0.05, **P < 0.01, ***P < 0.001 vs the control group

Esketamine promoted ESCC cell apoptosis

To determine whether the reduction in cell viability and proliferation was associated with apoptosis, we performed annexin V/PI staining assay. Consistent with previous reports [21], esketamine significantly decreased cell viability and proliferation with significantly increasing fractions of apoptotic cells (sub G1 phase) compared with the control group (Fig. 3A–D). The apoptosis rate of KSYE-30 and KYSE-150 by 1 mM esketamine was 26.96% and 12.37%, respectively.

Fig. 3
figure 3

Esketamine induced the cell apoptosis changes in esophageal squamous carcinoma cells (ESCC). The effect of esketamine on apoptotic death of KYSE-30 cells and KYSE-30 cells were measured by flow cytometry (A). Chart (B) showed the statistical analysis of apoptosis ratio. Data are presented as mean ± SEM; **P < 0.01, ***P < 0.001 vs the control group

Esketamine suppressed the migration and invasion ability of ESCC cells

In transwell cell invasion assay, the number of cells invading the Matrigel coated membrane in the esketamine groups was significantly lower than that of the control group, and the cell invasion ability was notably weakened (Fig. 4A). Similar findings were found in the wound-healing assay (Fig. 4B, C).

Fig. 4
figure 4

Esketamine treatment reduced the migration and invasion capabilities of esophageal squamous carcinoma cells (ESCC). Transwell invasion assay was implemented to examine the invasive ability of the KYSE-30 cells and KYSE-150 cells (A). Wound healing assays were conducted to detect the migratory of KYSE-30 cells (B) and KYSE-30cells (C). The migratory ratio was calculated by dividing the wound area by total area. Data are presented as mean ± SEM; **P < 0.01, ***P < 0.001 vs the control group

The proteomic changes in ESCC cells induced by esketamine treatment

We performed TMT-based quantitative proteomics to examine the protein changes of ESCC KYSE30 cells under 0, 1 or 2 mM esketamine (Fig. 5A). Principal component analysis (PCA) of protein expression levels showed that the 9 samples segregated by experimental conditions, indicating that the samples were profiled without significant measurable bias or batch effect (Fig. 5B). We further compared these two groups (1 vs 0 mM esketamine) and identified 642 significant DEPs (Fig. 5C, D). Then, we further explored protein-wide expression changes assessed with the GO/KEGG enrichment analysis. The GO enrichment analysis, including biological processes, cellular component and molecular functions, found that the GO terms were enriched in rRNA processing, nucleolus and RNA binding (Fig. 5E). The KEGG pathway enrichment analysis showed a high abundance of endocytosis, nucleotide excision repair, MicroRNA in cancer and estrogen signaling pathway (Fig. 5F).

Fig. 5
figure 5

Proteomic changes of esophageal squamous carcinoma cells (ESCC) KSYE30 cells treated with esketamine. A Schematic workflow for the analysis of differential expressed proteins (DEPs) via mass spectrometry. B PCA analysis checked the grouping situation of nine samples from three different groups. The heatmap (C), volcano map (D), GO analysis (E) and KEGG analysis (F) for DEPs between KYSE30 treated with 0 or 1 Mm esketamine. The heatmap (G), volcano map (H), GO analysis (I) and KEGG analysis (J) for DEPs between KYSE30 treated with 0 or 2 mM esketamine. K Heat map for DEPs in differential groups of KSYE30 cells treated with increasing dose of esketamine (0, 1, 2 mM). Venn diagram (L) showed the common DEPs between 0 vs 1 mM ketamine group and 0 vs 2 mM ketamine group. GO analysis (M) and KEGG analysis (N) for these common DEPs

Similarly, we identified 979 significant DEPs in the KSYE30 cells incubated with 2 vs 0 mM esketamine (Fig. 5G, H). The GO enrichment analysis showed that the GO terms were enriched in cell division, rRNA processing and RNA binding, Fig. 5I). The KEGG pathway enrichment analysis also showed a high abundance of cell cycle, DNA replication and viral carcinogenesis (Fig. 5J).

We further mapped the intersection and determined 321 common DEPs in the three groups (KYSE30 cells under 0, 1, 2 mM esketamine). The GO enrichment analysis showed that the GO terms were enriched in cell division, rRNA processing, nucleoplasm, nucleolus, protein binding, RNA binding. The KEGG pathway enrichment analysis showed a high abundance of mitophagy, cellular senescence, apelin signaling pathway and DNA replication. Furthermore, 224 downregulated proteins following esketamine treatment of these 321 common DEPs were then analysed through the GEPIA database ( and found 32 commonly downregulated DEPs (Additional file 1: Table S1) which were also highly expressed in ESCC tissue from the GEPIA database. Of those, ERCC6L, AHR, KIF2C, KNTC1 and BCAT1 were reported to play significant roles in multiple cancers [27,28,29,30,31,32] and then chosen for further verification with Western blotting and bioinformatics analysis.

Further analysis of key proteins and western blot verification

Our proteomics results showed that these 5 proteins were significantly down-regulated in the KYSE30 cells treated with esketamine compared to these in the controls (Fig. 6A). These 5 were coherent “interaction” shown by the database of STRING (Fig. 6B). In addition, we further performed bioinformatic analysis from TCGA database and found that the expressions of ERCC6L, AHR, KIF2C, KNTC1 and BCAT1 were significantly higher in the ESCA tissues compared to the normal tissues (Fig. 6C). The protein expression of ERCC6L, AHR and KIF2C but not KNTC1 and BCAT1were significantly down-regulated after esketamine treatment. (*P < 0.05; ** P < 0.01, Fig. 6D, E).

Fig. 6
figure 6

Further analysis of key proteins and western blot verification. A Histogram showed actual expression of ERCC6L, AHR, KIF2C, KNTC1 and BCAT1 in our proteomic data of KYSE30 cell after esketamine treatment. B Protein–protein interaction network for these key proteins from STRING database. C Expression levels of ERCC6L, AHR, KIF2C, KNTC1 and BCAT1 in the ESCA tissues and normal tissues from TCGA–ESCA data sets. Western blot analysis of ERCC6L, AHR, KIF2C, KNTC1 and BCAT1 in KYSE30 (D) and KYSE150 (E) under esketamine treatment. Data are presented as mean ± SEM; *P < 0.05, **P < 0.01, ***P < 0.001 vs the control group

Correlation analysis between ERCC6L, AHR and KIF2C with diagnostic performance, immune cell infiltration and clinicopathological characteristics ESCA patients

We performed a ROC curve analysis to access the diagnostic value of ERCC6L, AHR and KIF2C. The expression levels of ERCC6L, AHR and KIF2C accurately distinguished ESCA tissues from normal tissue (respective AUC: 0.940, 0.853 and 0.960; Fig. 7A, E, I).

Fig. 7
figure 7

Correlation analysis between ERCC6L, AHR and KIF2C with diagnostic performance, immune cell infiltration and clinicopathological characteristics ESCA patients. Diagnostic ROC curves to discriminate ESCA tissue from normal tissues based on the expression levels of ERCC6L (A), AHR (E) and KIF2C (I). Spearman’s correlation analysis between immune cell infiltration levels and expression levels of ERCC6L (B), AHR (F) and KIF2C (J) in the ESCA tissues. The correlation analysis between ERCC6L and KIF2C expression levels and clinical stages and age (C, D, K, L). The correlation analysis between AHR expression levels and races and BMI (G, H)

We then performed ssGSEA and Spearman analysis to determine the infiltration status of 24 immune cell types with the expression levels of ERCC6L, AHR and KIF2C in the ESCA tissues. ERCC6L expression levels showed a negative association with pDC (R =  − 0.375, P < 0.001), mast cells (R =  − 0.370, P < 0.001) and CD8 T cells (R =  − 0.333, P < 0.001), and positive association with aDCs (R = 0.474, P < 0.001) (Fig. 7B). AHR expression levels showed a negative association with pDC (R =  − 0.196, P < 0.05) and NK CD56bright cells (R =  − 0.194, P < 0.05), and positive association with Tcm (R = 0.178, P < 0.05) (Fig. 7F). KIF2C expression levels showed a negative association with mast cells (R =  − 0.360, P < 0.001), pDC (R =  − 0.336, P < 0.001) and CD8 T cells (R =  − 0.302, P < 0.001), and positive association with Th2 cells (R = 0.547, P < 0.001) (Fig. 7J).

Furthermore, we download the TCGA–ESCA data set to explore the association between the expression levels of ERCC6L, AHR and KIF2C and ESCA with patients’ multiple clinicopathological characteristics, including clinical stages, age, race, BMI and so on. Results showed that ERCC6L and KIF2C expression levels showed a significant correlation with the clinical stages (Fig. 7C, K) and age (Fig. 7D, L) of the ESCA patients. AHR expression levels showed a significant correlation with the race (Fig. 7G) and body mass index (Fig. 7H) of the ESCA patients.


Our data indicated that esketamine inhibited cell proliferation in a dose-dependent manner, which was accompanied by a significant increase in the number of apoptotic cells. Therefore, we deduced that the decreased cell proliferation of ESCC cells may be a partial consequence of increased cell apoptosis. Moreover, we also found that esketamine treatment significantly inhibited the migration and invasion ability at concentrations lower than that required to inhibit the proliferation of ESCA cells. Consequently, these findings supported that esketamine may have potential to possess anti-cancer properties for ESCC.

Esketamine, the s-enantiomer of ketamine, has superior analgesic effect and less psychotomimetic side effects than ketamine [33]. In addition to the high potential in relieving cancer pain [34] and depression [35], esketamine and ketamine also showed anti-cancer potential in numerous cancers, including pancreatic cancer, ovarian cancer and breast cancer [17, 18, 21] and its effect on ESCC was extended in our study.

High-throughput proteomic analysis can effectively detect protein changes to gain insight into pathophysiological mechanisms of cancers. Li and his colleagues performed integrative proteogenomic analysis of multiple tissues from 154 ESCC patients to elucidate cancer-driving waves and other crucial characterization of early esophageal cancer [36]. In the present study, we performed a proteomics analysis to identify proteins that were associated with cancer progression to probe the possible mechanism for the anti-cancer effects of esketamine. Our GO/KEGG analysis results indicated that its anticancer effect may be related to cell population proliferation, GTPase activity, and Apelin signaling pathway. Previous studies showed that knocking down apelin significantly suppressed cell proliferation and migration and promoted cell apoptosis in esophageal cancer cells in vitro, potentially by activating PI3K/mTOR signaling pathway [37]. GTPases were considered to play a crucial role in regulating complex cellular processes, including cell proliferation; the dysfunction of some certain GTPases that were closely related to the development and progression [38]. Taken together, our data reported here may provide mechanistic basis for the role of esketamine on the malignant proliferation of ESCC cells.

To further validate protein expression from proteomic analysis, we performed western blot and a series of bioinformatic analysis based on TCGA–ESCA database. ERCC6L, AHR and KIF2C downregulation were found to be potential mechanism of anti-tumor property of esketamine. Notably, ERCC6L was considered to be a poor prognosis marker that promotes cancer cell proliferation, migration and/or invasion, with aberrantly high expression in a wide variety of aggressive cancers, including hepatocellular cancer and non-small cell lung adenocarcinoma [27, 39]. AHR is a ligand-dependent transcription factor of the basic helix–loop–helix/Per–Arnt–Sim family. Remarkably, sustained transcriptional activation of AHR was reported to facilitate tumor development and impairs the anti-tumor immunity [30]. Thus, there are several ongoing studies targeting the AHR signaling pathway to enhance antitumor immunity and re-sensitize tumor to chemotherapy. KIF2C is a member of the kinesin-13 family that play an important role in depolymerization processes of microtubules by disassembling tubulin subunits at the filament end. Aberrant expression of KIF2C are frequently implicated in an oncogenic state and promotion of tumorigenesis in several cancer tissues, including breast cancer and hepatocellular carcinoma [28, 29, 40]. Overall, the functional analysis indicated that esketamine suppressed ERCC6L, AHR and KIF2C may be the underlying mechanisms for its anti-cancer effects, although further study is needed.

There are several limitations in our work. First, all experiments were performed in cultured ESCC cells. Further studies of animal and clinical data were required to further validate the benefits of esketamine on ESCC patients. Second, the causal relationship between the anti-tumor effects of esketamine and molecular changes found in this study warrants further study. Third, the lack of non-cancerous cell lines was used for comparison. One does not know whether its effects are unique for cancer only or not. Finally, the concentrations of esketamine used in this study were far beyond the clinical conditions. Although the previous in vitro study used the similar concentrations of S-ketamine the pancreatic cancer cells [17], caution is taken for interpreting the findings reported in the current study.


In summary, the present study found the tumor-suppressive effects of esketamine on ESCC cells in vitro (Fig. 8). However, its translational value is subjected to further study in in vivo and clinical settings.

Fig. 8
figure 8

Schematic diagram depicts the antitumor effect of esketamine on esophageal squamous carcinoma cells (ESCC) in vitro and its potential molecular mechanism based on mass spectrometry. Esketamine treatment promotes apoptosis and inhibits proliferation, migration and invasion of ESCC cells, which may be related to its functional suppression of ERRCC6L, AHR and KIF2C

Availability of data and materials

Data are available from the authors upon reasonable request.



Aryl hydrocarbon receptor


Differentially expressed proteins


Esophageal squamous cell carcinoma


Excision repair cross-complementation group 6 like


Gene ontologies


Kyoto Encyclopedia of Genes and Genomes


Kinesin-13 family member 2C




The Cancer Genome Atlas


  1. Morgan E, Soerjomataram I, Rumgay H, Coleman HG, Thrift AP, Vignat J, Laversanne M, Ferlay J, Arnold M. The global landscape of esophageal squamous cell carcinoma and esophageal adenocarcinoma incidence and mortality in 2020 and projections to 2040: new estimates from GLOBOCAN 2020. Gastroenterology. 2022;163:649-658.e642.

    Article  PubMed  Google Scholar 

  2. Li J, Xu J, Zheng Y, Gao Y, He S, Li H, Zou K, Li N, Tian J, Chen W, He J. Esophageal cancer: epidemiology, risk factors and screening. Chin J Cancer Res. 2021;33:535–47.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Buddeberg BS, Seeberger MD. Anesthesia and oncology: friend or foe? Front Oncol. 2022;12: 802210.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Alam A, Rampes S, Patel S, Hana Z, Ma D. Anesthetics or anesthetic techniques and cancer surgical outcomes: a possible link. Korean J Anesthesiol. 2021;74:191–203.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Ishikawa M, Iwasaki M, Sakamoto A, Ma D. Anesthetics may modulate cancer surgical outcome: a possible role of miRNAs regulation. BMC Anesthesiol. 2021;21:71.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Gao L, Yang L, He Y, Liu Y, Xu P, Zhang J, Dai S, Luo X, Sun Z. MOR promotes epithelial-mesenchymal transition and proliferation via PI3K/AKT signaling pathway in human colorectal cancer. Acta Biochim Biophys Sin (Shanghai). 2022.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Santoni A, Santoni M, Arcuri E. Chronic cancer pain: opioids within tumor microenvironment affect neuroinflammation, tumor and pain evolution. Cancers (Basel). 2022;14:2253.

    Article  CAS  PubMed  Google Scholar 

  8. Lu H, Zhang H, Weng ML, Zhang J, Jiang N, Cata JP, Ma D, Chen WK, Miao CH. Morphine promotes tumorigenesis and cetuximab resistance via EGFR signaling activation in human colorectal cancer. J Cell Physiol. 2021;236:4445–54.

    Article  CAS  PubMed  Google Scholar 

  9. Barrett W, Buxhoeveden M, Dhillon S. Ketamine: a versatile tool for anesthesia and analgesia. Curr Opin Anaesthesiol. 2020;33:633–8.

    Article  PubMed  Google Scholar 

  10. Persson J. Ketamine in pain management. CNS Neurosci Ther. 2013;19:396–402.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Culp C, Kim HK, Abdi S. Ketamine use for cancer and chronic pain management. Front Pharmacol. 2020;11: 599721.

    Article  CAS  PubMed  Google Scholar 

  12. Ionescu DF, Fu DJ, Qiu X, Lane R, Lim P, Kasper S, Hough D, Drevets WC, Manji H, Canuso CM. Esketamine nasal spray for rapid reduction of depressive symptoms in patients with major depressive disorder who have Active Suicide Ideation With Intent: Results of a Phase 3, Double-Blind, Randomized Study (ASPIRE II). Int J Neuropsychopharmacol. 2021;24:22–31.

    Article  PubMed  Google Scholar 

  13. Hirota K, Lambert DG. Ketamine; history and role in anesthetic pharmacology. Neuropharmacology. 2022;216: 109171.

    Article  CAS  PubMed  Google Scholar 

  14. Duan W, Hu J, Liu Y. Ketamine inhibits colorectal cancer cells malignant potential via blockage of NMDA receptor. Exp Mol Pathol. 2019;107:171–8.

    Article  CAS  PubMed  Google Scholar 

  15. Du S, Sung YS, Wey M, Wang Y, Alatrash N, Berthod A, MacDonnell FM, Armstrong DW. Roles of N-methyl-d-aspartate receptors and d-amino acids in cancer cell viability. Mol Biol Rep. 2020;47:6749–58.

    Article  CAS  PubMed  Google Scholar 

  16. Saito J, Zao H, Wu L, Iwasaki M, Sun Q, Hu C, Ishikawa M, Hirota K, Ma D. “Anti-cancer” effect of ketamine in comparison with MK801 on neuroglioma and lung cancer cells. Eur J Pharmacol. 2023;945: 175580.

    Article  CAS  PubMed  Google Scholar 

  17. Malsy M, Gebhardt K, Gruber M, Wiese C, Graf B, Bundscherer A. Effects of ketamine, s-ketamine, and MK 801 on proliferation, apoptosis, and necrosis in pancreatic cancer cells. BMC Anesthesiol. 2015;15:111.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Li T, Yang J, Yang B, Zhao G, Lin H, Liu Q, Wang L, Wan Y, Jiang H. Ketamine inhibits ovarian cancer cell growth by regulating the lncRNA-PVT1/EZH2/p57 axis. Front Genet. 2020;11: 597467.

    Article  CAS  PubMed  Google Scholar 

  19. Gu L, Sang Y, Nan X, Zheng Y, Liu F, Meng L, Sang M, Shan B. circCYP24A1 facilitates esophageal squamous cell carcinoma progression through binding PKM2 to regulate NF-κB-induced CCL5 secretion. Mol Cancer. 2022;21:217.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Shen J, Han L, Xue Y, Li C, Jia H, Zhu K. Ropivacaine inhibits lung cancer cell malignancy through downregulation of cellular signaling including HIF-1α in vitro. Front Pharmacol. 2021;12: 806954.

    Article  CAS  PubMed  Google Scholar 

  21. Li H, Liu W, Zhang X, Wu F, Sun D, Wang Z. Ketamine suppresses proliferation and induces ferroptosis and apoptosis of breast cancer cells by targeting KAT5/GPX4 axis. Biochem Biophys Res Commun. 2021;585:111–6.

    Article  CAS  PubMed  Google Scholar 

  22. Cheng Y, Wang G, Zhao L, Dai S, Han J, Hu X, Zhou C, Wang F, Ma H, Li B, Meng Z. Periplocymarin induced colorectal cancer cells apoptosis via impairing PI3K/AKT pathway. Front Oncol. 2021;11: 753598.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Tang Z, Li C, Kang B, Gao G, Li C, Zhang Z. GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses. Nucleic Acids Res. 2017;45:W98-w102.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Szklarczyk D, Gable AL, Nastou KC, Lyon D, Kirsch R, Pyysalo S, Doncheva NT, Legeay M, Fang T, Bork P, et al. The STRING database in 2021: customizable protein-protein networks, and functional characterization of user-uploaded gene/measurement sets. Nucleic Acids Res. 2021;49:D605-d612.

    Article  CAS  PubMed  Google Scholar 

  25. Hänzelmann S, Castelo R, Guinney J. GSVA: gene set variation analysis for microarray and RNA-seq data. BMC Bioinformatics. 2013;14:7.

    Article  PubMed  Google Scholar 

  26. Bindea G, Mlecnik B, Tosolini M, Kirilovsky A, Waldner M, Obenauf AC, Angell H, Fredriksen T, Lafontaine L, Berger A, et al. Spatiotemporal dynamics of intratumoral immune cells reveal the immune landscape in human cancer. Immunity. 2013;39:782–95.

    Article  CAS  PubMed  Google Scholar 

  27. Chen H, Wang H, Yu X, Zhou S, Zhang Y, Wang Z, Huang S, Wang Z. ERCC6L promotes the progression of hepatocellular carcinoma through activating PI3K/AKT and NF-κB signaling pathway. BMC Cancer. 2020;20:853.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Liu S, Ye Z, Xue VW, Sun Q, Li H, Lu D. KIF2C is a prognostic biomarker associated with immune cell infiltration in breast cancer. BMC Cancer. 2023;23:307.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Wei S, Dai M, Zhang C, Teng K, Wang F, Li H, Sun W, Feng Z, Kang T, Guan X, et al. KIF2C: a novel link between Wnt/β-catenin and mTORC1 signaling in the pathogenesis of hepatocellular carcinoma. Protein Cell. 2021;12:788–809.

    Article  CAS  PubMed  Google Scholar 

  30. Leclerc D, Staats Pires AC, Guillemin GJ, Gilot D. Detrimental activation of AhR pathway in cancer: an overview of therapeutic strategies. Curr Opin Immunol. 2021;70:15–26.

    Article  CAS  PubMed  Google Scholar 

  31. Zhang B, Peng H, Zhou M, Bao L, Wang C, Cai F, Zhang H, Wang JE, Niu Y, Chen Y, et al. Targeting BCAT1 combined with α-Ketoglutarate triggers metabolic synthetic lethality in glioblastoma. Cancer Res. 2022;82:2388–402.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Liu R, Liu R, Guo Z, Ren J, Huang J, Luo Q, Tan Q. shRNA-mediated knockdown of KNTC1 inhibits non-small-cell lung cancer through regulating PSMB8. Cell Death Dis. 2022;13:685.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Muller J, Pentyala S, Dilger J, Pentyala S. Ketamine enantiomers in the rapid and sustained antidepressant effects. Ther Adv Psychopharmacol. 2016;6:185–92.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Fernandes M, Schelotto M, Doldi PM, Milani G, Ariza Manzano AA, Perera Valdivia D, Winter Matos AM, Hamdy Abdelrahim Y, Hamad Bek SA, Benitez BK, et al. IMPORTANCE trial: a provisional study-design of a single-center, phase II, double-blinded, placebo-controlled, randomized, 4-week study to compare the efficacy and safety of intranasal esketamine in chronic opioid refractory pain. F1000Res. 2021;10:42.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Daly EJ, Singh JB, Fedgchin M, Cooper K, Lim P, Shelton RC, Thase ME, Winokur A, Van Nueten L, Manji H, Drevets WC. Efficacy and safety of intranasal esketamine adjunctive to oral antidepressant therapy in treatment-resistant depression: a randomized clinical trial. JAMA Psychiat. 2018;75:139–48.

    Article  Google Scholar 

  36. Li L, Jiang D, Zhang Q, Liu H, Xu F, Guo C, Qin Z, Wang H, Feng J, Liu Y, et al. Integrative proteogenomic characterization of early esophageal cancer. Nat Commun. 2023;14:1666.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Wang Y, Wang G, Liu X, Yun D, Cui Q, Wu X, Lu W, Yang X, Zhang M. Inhibition of APLN suppresses cell proliferation and migration and promotes cell apoptosis in esophageal cancer cells in vitro, through activating PI3K/mTOR signaling pathway. Eur J Histochem. 2022;66:3336.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Teng Y. GTPase pathways in health and diseases. Cells. 2022;11:4055.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Hou G, Lu Z, Bi Y, Deng J, Yang X. ERCC6L is a biomarker and therapeutic target for non-small cell lung adenocarcinoma. Med Oncol. 2022;39:51.

    Article  CAS  PubMed  Google Scholar 

  40. Moon HH, Kreis NN, Friemel A, Roth S, Schulte D, Solbach C, Louwen F, Yuan J, Ritter A. Mitotic centromere-associated kinesin (MCAK/KIF2C) regulates cell migration and invasion by modulating microtubule dynamics and focal adhesion turnover. Cancers (Basel). 2021;13:5673.

    Article  CAS  PubMed  Google Scholar 

Download references


Figdraw ( was adopted to draw Figs. 1A and 8. We would like to thank Prof. Daqing Ma (from Imperial College London) for his critical comments during manuscript preparation. We thank the Research Center of the Fourth Hospital of Hebei Medical University for providing laboratory and laboratory instruments.


This work was supported by the Hebei Province introducing foreign intelligence project (No. 2019YX010A), Hebei Province introducing foreign intelligence project in 2020 and Hebei Province talent introduction innovation platform in 2021.

Author information

Authors and Affiliations



CL and JS wrote the manuscript. CL and SW performed the experiment. CL and JS analyzed experimental results. HJ conceived and designed the study. All authors contributed to the article and approved the submitted version.

Corresponding author

Correspondence to Huiqun Jia.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

The authors have no ethical, legal and financial conflicts related to the article. All authors read and approved the manuscript to publish.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, C., Shi, J., Wei, S. et al. Potential ‘anti-cancer’ effects of esketamine on proliferation, apoptosis, migration and invasion in esophageal squamous carcinoma cells. Eur J Med Res 28, 517 (2023).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: