The human pancreatic cancer cell lines ASPC-1, PANC-1, PACA-2 and BxPC-3 were purchased from Shanghai Gaining Biological Technology Co., Ltd. PANC-1 and PACA-2 cells were cultured in DMEM (Gibco; Thermo Fisher Scientific, Inc.) containing 10% fetal bovine serum (FBS; Gibco; Thermo Fisher Scientific, Inc.) and 1% penicillin-streptomycin (PS; Beyotime Institute of Biotechnology), while ASPC-1 and BxPC-3 cells were cultured in 1640 medium (Gibco; Thermo Fisher Scientific, Inc.) supplemented with 10% FBS and 1% PS. The normal human pancreatic cell line, HPNE, was obtained from iCell Bioscience, Inc. HPNE cells were cultured in cell culture medium [DMEM: 70%; M3:BaseF (cat. no. M300F-500; Incell Corporation LLC)]: 20%; FBS: 10%) with 1% penicillin-streptomycin (cat. no. 15140-122; Gibco; Thermo Fisher Scientific, Inc.). All cells were incubated at 37°C in an atmosphere containing 5% CO₂. For drug intervention, PANC-1 and PACA-2 cells were treated with autophagy inhibitors or an autophagy activator purchased from MedChemExpress, including 2 mM 3-methyladenine (3-MA; cat. no. (HY-19312), 10 µM chloroquine (chloroquine; cat. no. HY-17589A) and 100 nM Rapamycin (Rapa; cat. no. HY-10219). The PANC-1 and PACA-2 cells were incubated with the inhibitors/activator for 24 h at 37°C.

The Gene Expression Profiling Interactive Analysis (GEPIA) server (http://gepia.cancer-pku.cn/) was used to obtain and analyze KIN17 expression data from pancreatic cancer and normal tissues based on The Cancer Genome Atlas (TCGA) and Gene Type Tissue Expression projects, including 179 cancer and 171 normal samples. In addition, expression data were downloaded and extracted from three Gene Expression Omnibus (GEO; http://www.ncbi.nlm.nih.gov/geo/) datasets [GSE15471 (16,17), GSE71989 (18) and GSE62165 (19)], which compared the mRNA expression between normal and pancreatic cancer tissues. Raw data were preprocessed in R language (version 4.3.1; http://www.r-project.org). The expression matrix data of GSE15471, GSE71989 and GSE62165 were obtained by probe transformation according to the annotation information of the chip platform, from which the expression value of KIN17 was extracted. Correlation analysis of KIN17 expression and the expression of genes in the Akt/mTOR pathway was performed using TCGA-PAAD (pancreatic adenocarcinoma) data on the GEPIA server. The Kaplan-Meier method was used to draw survival curves using the ‘survival’ (https://cran.r-project.org/package=survival) and ‘survminer’ (https://cran.r-project.org/package=survminer) packages in R software version 4.3.1 (https://www.r-project.org).

At total of 72 pairs of pancreatic cancer and normal pancreatic tissue samples (mean patient age: 58 years; age range: 33–77 years) were provided by Shanghai Outdo Biotech Co., Ltd. The clinical and pathological characteristics of the patients are shown in Table I. Firstly, the tissue array was placed in an oven, and baked at 63°C for 1 h, after which dewaxing was completed in an automatic staining machine (LEICAST5020; Leica Microsystems GmbH). The slide was placed in an antigen repair instrument (PT Link; Dako; Agilent Technologies, Inc.), and antigen repair was initiated by selecting the program. After repair, the slides were placed in distilled water at room temperature and allowed to cool naturally for >10 min. Subsequently, the slides were rinsed in PBS, a diluted primary antibody (KIN17; 1:200; cat. no. sc-32769; Santa Cruz Biotechnology, Inc.) working solution was added, and the slides were incubated overnight at 4°C. The next day, the slides were warmed at room temperature for 45 min, washed with PBS, and put into an automatic immunohistochemical staining system instrument (Autostainer Link 48; Dako; Agilent Technologies, Inc.); the corresponding programs were selected for blocking (with 3% hydrogen peroxide, 10 min), secondary antibody incubation (10 min) [EnVision™ FLEX+, Mouse, High pH, (Link); cat. no. K8002; Dako; Agilent Technologies, Inc.) and DAB color development according to the manufacturer's protocol at room temperature. Subsequently, hematoxylin staining was performed for 1 min at room temperature. The slides were immersed in 0.25% hydrochloric acid and alcohol (400 ml 70% alcohol + 1 ml concentrated hydrochloric acid) for ~10 sec and were then rinsed with tap water for 5 min. Finally the slides were dried at room temperature and sealed with neutral resin. The tissue array was examined using an Aperio scanner (Aperio ScanScope XT; Leica Microsystems GmbH). The tissues underwent IHC, and KIN17 staining intensity [classified into four levels, from 0 (negative) to 4 (strong)] and percentage of positive cells (0–100%) was determined. Finally, the staining results were scored by multiplying the intensity level and percentage, and labelled as the rapid (Q) score. The median Q-score (Q=100) served as the cut-off value to classify the patients into low (Q≤100) or high (Q>100) KIN17 expression groups.

The siRNA oligonucleotides specifically designed for KIN17 (siKIN17) and the negative control siRNA (siNC) were purchased from Suzhou GenePharma Co., Ltd. with the following sequences: siNC, sense 5′-UUCUCCGAACGUGUCACGUTT-3′, antisense 5′-ACGUGACACGUUCGGAGAATT-3′; siKIN17#1, sense 5′-GCAGAAGCUACGCUGGUAUTT-3′, antisense 5′-AUACCAGCGUAGCUUCUGCTT-3′; siKIN17#2, sense 5′-GGAAUUCCGAAAUGACUUUTT-3′, antisense 5′-AAAGUCAUUUCGGAAUUCCTT-3′; siKIN17#3, sense 5′-GCAACAUCUUCCAAGUCAATT-3′, antisense 5′-UUGACUUGGAAGAUGUUGCTT-3′. PANC-1 and PACA-2 cells at 70% confluence were transfected with siRNAs (150 pmol) using siRNA-mate (Suzhou GenePharma Co., Ltd.) according to the manufacturer's protocol at room temperature. After 48 and 72 h, the cells were collected for reverse transcription-quantitative PCR (RT-qPCR) and western blotting (WB) to evaluate the corresponding mRNA and protein expression levels, respectively.

Total RNA was extracted from the cultured cells using TRIzol^® reagent (Invitrogen; Thermo Fisher Scientific, Inc.) according to the manufacturer's instructions. RNA quality, including concentration and purity, was evaluated using a NanoDrop Spectrophotometer (NanoDrop; Thermo Fisher Scientific, Inc.). Subsequently, cDNA was obtained from 1 µg RNA through RT using PrimeScript™ RT Reagent Kit (cat. no. RR047Q; Takara Biotechnology Co., Ltd.). Finally, mRNA expression was examined using qPCR with an Applied Biosystems 7500 Real-Time PCR System (Applied Biosystems; Thermo Fisher Scientific, Inc.) and using TB Green^® Premix Ex Taq™ (Tli RNaseH Plus) (cat. no. RR420A; Takara Biotechnology Co., Ltd.) according to the manufacturer's protocol. The qPCR thermal cycling conditions were as follows: Initial denaturation at 95°C for 30 sec; followed by 60 cycles of denaturation at 95°C for 5 sec, annealing at 55°C for 30 sec and extension at 72°C for 30 sec. KIN17 expression was normalized to GAPDH, using the 2^−ΔΔCq method (20). The primer sequences used were as follows: human KIN17, forward AGACGCTTTGGCACTAAAAGG and reverse AGTGGCATTCATGTGGATGTG; human GAPDH, forward GCACCGTCAAGGCTGAGAAC and reverse TGGTGAAGACGCCAGTGGA.

Protein was extracted from pancreatic cancer cells using RIPA buffer (Beyotime Institute of Biotechnology) and 20 µg proteins were separated by SDS-PAGE on 8–15% gels, before being transferred to PVDF membranes (MilliporeSigma). After blocking the membranes in 5% milk for 60 min at room temperature, they were incubated with the following primary antibodies: GAPDH (cat. no. 60004-1-Ig; 1:20,000), Vimentin (cat. no. 60330-1-Ig; 1:50,000), Beclin1 (cat. no. 66665-1-Ig; 1:2,000), mTOR (cat. no. 28273-1-AP; 1:50,000), phosphorylated (P)-mTOR (cat. no. 67778-1-Ig; 1:5,000) (all from Proteintech Group, Inc.), KIN17 (cat. no. sc-32769; 1:1,000; Santa Cruz Biotechnology, Inc.), E-cadherin (cat. no. ab40772; 1:10,000), N-cadherin (cat. no. ab76011; 1:10,000), P62 (cat. no. ab109012; 1:10,000), ULK1 (cat. no. ab177472; 1:10,000), PI3K (cat. no. ab40776; 1:5,000) (all from Abcam), LC3B (cat. no. 2775; 1:1,000), AKT (cat. no. 4691; 1:1,000), P-AKT (cat. no. 4060; 1:1,000) and P-ULK1 (cat. no. 6888; 1:1,000) (all from Cell Signaling Technology, Inc.), and P-PI3K (cat. no. AF5905 1:500; Beyotime Institute of Biotechnology) overnight at 4°C. The membranes were then washed with 1X TBS-0.1% Tween-20 and incubated with secondary antibodies for 1 h at room temperature. The following secondary antibodies were used: Anti-rabbit IgG, HRP-linked antibody (1:5,000; cat. no. SA-00001-2; Proteintech Group, Inc.) and anti-mouse IgG, HRP-linked Antibody (1:5,000; cat. no. SA-00001-1; Proteintech Group, Inc.). Finally, bands were visualized using WesternLumaxLight Superior HRP substrate (cat. no. 310209; Zeta-Life) and visualized using a Tanon 5200 imaging system (Tanon Science and Technology Co., Ltd.). The intensity of the protein bands was semi-quantified using Image Lab software (5.2.1) and the protein expression levels were normalized to the respective GAPDH bands. All WB experiments were conducted in triplicate.

During the logarithmic growth phase, 5×10⁴ cells/well in serum-free medium were plated in the upper chamber of a 8-µm Transwell system at room temperature, while 0.6 ml medium supplemented with 10% FBS was added to the lower chamber in a 24-well plate. After incubation at 37°C for 24 h, the translocated cells were fixed with 4% paraformaldehyde for 20 min, followed by staining with 0.1% crystal violet solution at room temperature for 30 min at room temperature. For quantification, images from five random fields were captured and the cells were counted under optical microscope (magnification, ×200). In the invasion assay, the upper Transwell chamber was precoated with 1:8 diluted Matrigel (BD Biosciences) at 37°C for 1 h, and the cells were cultured at 37°C incubator for 72 h, whereas the remaining steps were the same as those performed in the migration assay. Each experiment was conducted in triplicate.

A total of 5×10⁵ cells/well in a 6-well plate were cultured without 10% FBS. When the cell fusion rate reached 90%, a wound was generated using a 200-µl pipette tip to draw a straight line at the bottom of the plate. Images of the cells were captured using an optical microscope at 0 h, when the wound was created, and at 24 h. Relative migration was calculated as follows: Relative migration rate=area (0–24 h)/area at 0 h. Each experiment was repeated three times.

Autophagy was detected using a CYTO-ID^® Autophagy Detection Kit (cat. no. ENZ-KIT175-0050; Enzo Life Sciences, Inc.). After cultivating the cells on a 14×14 mm confocal dish, the culture medium was carefully removed when the cells reached a fusion level of 50–70%. Subsequently, the cells were washed with 100 µl 1X Assay Buffer, and were incubated with CYTO-ID Green Detection Reagent 2 for 30 min at room temperature. Finally, the stained cells were analyzed using a confocal microscope.

The mRFP-GFP-LC3 lentiviral vector was purchased from Suzhou GenePharma Co., Ltd., and PANC-1 and PACA-2 cells were infected according to the manufacturer's instructions. The cells stably expressing mRFP-GFP-LC3 were selected by puromycin (1 µg/ml) and 1×10⁴ stably expressing mGFP-RFP-LC3 cells/dish were seeded into a confocal dish. After incubation for 20 h at room temperature, the cells were transfected with siNC or siKIN17 as aforementioned. The autophagosomes were labeled yellow (mRFP and GFP) whereas autolysosomes were labeled red (mRFP only, and the results in five independent fields were observed under a confocal laser-scanning microscope (Olympus Corporation).

To ensure accuracy, all experiments were independently repeated three times. Statistical analysis was performed using either SPSS 27.0 statistical software (IBM Corporation) or GraphPad Prism 8 software (Dotmatics). To analyze the significant differences between two groups, a paired Student's t-test was conducted for paired data, while an unpaired Student's t-test was used for unpaired data. For comparisons among three or more groups, one-way ANOVA with Tukey's multiple comparisons test was applied. The χ² test was used to determine the association between KIN17 expression and the clinicopathological variables of the samples. The survival curve was plotted using the Kaplan-Meier method and data were compared using the log-rank test. The relationship between the expression of two genes was analyzed using Pearson's correlation coefficient. P<0.05 was considered to indicate a statistically significant difference.

Bioinformatics analysis using TCGA database revealed that the expression levels of KIN17 were upregulated in pancreatic cancer tissues compared with those in the adjacent nontumor tissues (Fig. 1A). In addition, the mRNA expression levels of KIN17 were compared between normal and pancreatic cancer tissues in the GSE15471 [expression analysis of 36 pancreatic ductal adenocarcinoma (PDAC) tumor tissues and matching normal pancreatic tissue samples from patients with pancreatic cancer], GSE71989 [8 normal pancreatic from healthy controls and 14 PDAC tissues] and GSE62165 (118 PDAC samples and 13 normal samples from healthy controls) datasets from the GEO database (Fig 1B-D). The expression of KIN17 was significantly upregulated in pancreatic cancer tissues compared with that in normal pancreatic tissues. Additionally, the analysis of microarray slides containing 72 pairs of pancreatic cancer tissues with adjacent tissues revealed that the KIN17 staining intensity was significantly higher in pancreatic cancer tissues than in adjacent tissues (Fig. 1E). Notably, patients with pancreatic cancer and higher KIN17 expression were revealed to have poorer overall survival than those with lower KIN17 expression, as determined by the Kaplan-Meier survival analysis performed on data from 72 patients with pancreatic cancer (Fig. 1F). In addition, a GEO dataset (GSE62452; 69 pancreatic tumors and 61 adjacent non-tumor tissue from patients with PDAC) was used to assess the association between pancreatic cancer survival and KIN17 expression levels; the Kaplan-Meier curves were plotted using the R package survminer. The results showed that patients with pancreatic cancer with high KIN17 expression had significantly lower overall survival than those with low KIN17 expression (Fig. 1G). Clinical data from 72 patients with pancreatic cancer were analyzed. As summarized in Table I, the high expression of KIN17 in pancreatic cancer was positively associated with lymph node metastasis (P=0.015). Tumor-Node-Metastasis stage has been reported in the relevant literature as a risk factor for poor prognosis in patients with pancreatic cancer (21). Subsequently, the mRNA and protein expression levels of KIN17 were detected in normal pancreatic epithelial HPNE cells, and four pancreatic cancer cell lines: ASPC-1, PANC-1, PACA-2 and BxPC-3. The results of RT-qPCR and WB showed that the mRNA and protein expression levels of KIN17 expression were both increased in pancreatic cancer cells compared with those in HPNE cells, but there was no significant difference in KIN17 expression between BxPC-3 and HPNE cells (Fig. 1H and I). These results indicated that KIN17 may be upregulated in pancreatic cancer tissues and cell lines, and that this increase in KIN17 expression is associated with a shorter survival period.

Before exploring the role of KIN17, Cells were transfected with three siRNAs specifically targeting KIN17 (siRNA #1, #2 and #3) to knock down KIN17 expression, and the most effective siRNA, siKIN17#3, was selected using RT-qPCR and WB (Fig. S1), which was used in the subsequent studies conducted in PANC-1 and PACA-2 cells. According to our previous studies, using siRNAs to reduce KIN17 expression has shown good knockdown efficiency in hepatocellular carcinoma cells (6,22). In the present study, the siRNA sequence siKIN17#3 had a relatively high knockdown efficiency for KIN17 of ~80%. Wound-healing and Transwell assays were conducted to evaluate the role of KIN17 in migration and invasion. The results indicated that KIN17 knockdown reduced cell migration (Fig. 2A) and invasive ability (Fig. 2B) in PANC-1 and PACA-2 cells. It is widely accepted that EMT makes tumor cells highly mobile and invasive (23). In addition, it has been shown that EMT is involved in pancreatic cancer metastasis (24). The present study revealed that knockdown of KIN17 upregulated the expression of epithelial markers (E-cadherin), and downregulated the expression of mesenchymal markers (N-cadherin and Vimentin) in PANC-1 and PACA-2 cells (Fig. 2C). These results suggested that KIN17 suppression may lead to inhibition of the migration and invasion of pancreatic cancer cells.

Previous studies have extensively explored the link between autophagy and tumor metastasis (25,26). The present study assessed the levels of autophagy-related proteins using WB following the knockdown of KIN17 in pancreatic cancer cells. Notably, the depletion of KIN17 in PANC-1 and PACA-2 cells resulted in a marked increase in the expression of autophagy-related proteins, such as Beclin1, LC3II, ULK1 and P-PULK1, and a significant decrease in P62 expression. The possible reason for the simultaneous elevation of ULK1 and P-ULK1 when KIN17 was knocked down may be that when KIN17 is knocked down, pancreatic cancer cells could initiate a compensatory mechanism to increase the expression of downstream proteins to maintain normal physiological functions. In this case, both ULK1 and P-ULK1 may be elevated. Furthermore, phosphorylation is an important protein modification that can change the activity, localization and stability of proteins. When KIN17 is knocked down, the phosphorylation level of the downstream protein ULK1 may change, leading to the elevation of P-ULK1. At the same time, total protein ULK1 may also be elevated for this reason (Fig. 3A). Furthermore, autophagosomes were examined by observing the presence of GFP-LC3 points, revealing a higher number of GFP-LC3 puncta in pancreatic cancer cells transfected with siKIN17 than in siNC cells (Fig. 3B). Next, the mRFP-GFP-LC3 dual fluorescent lentivirus was used to monitor autophagosomes and autolysosomes. After the formation of autolysosomes, their GFP signals are susceptible to acidic conditions, whereas mRFP signals are less affected. Therefore, in the merged figure, yellow dots indicate autophagosomes and red dots indicate autolysosomes (fusion of autophagosomes and lysosomes). The formation of both autophagosomes and autolysosomes increased in PANC-1 and PACA-2 cells transfected with siKIN17, indicating increased autophagic activity compared with in siNC cells (Fig. 4A). These findings suggested that autophagosomes successfully fused with lysosomes instead of being obstructed. In addition, autophagic flux was assessed by monitoring the conversion of LC3I to LC3II. Two autophagy inhibitors, 3-MA and CQ, were used in the present study. While 3-MA impedes the formation of autophagosomes in the initial stages by deactivating class III phosphatidylinositol 3-kinase (27), CQ increases lysosomal pH and hinders the fusion of autophagosomes with lysosomes in later stages (28). Comparative analysis revealed that co-treatment with 3-MA significantly decreased KIN17 inhibition-dependent LC3-II protein expression, suggesting a reversal of the autophagic process (Fig. 4B). Conversely, co-treatment with CQ significantly increased KIN17 inhibition-dependent LC3-II protein expression, indicating that 3-MA and CQ counteracted the autophagy-promoting effects of KIN17 knockdown, this may be due to 3-MA inhibiting autophagosome formation and CQ inhibiting the process of fusion of autophagosomes with lysosomes. Notably, co-treatment with 3-MA and CQ reversed the expression pattern of P62 compared with KIN17 knockdown alone, indicating their ability to attenuate the effect of KIN17 knockdown on P62 degradation in lysosomes. These results indicated that KIN17 knockdown may enhance autophagy in pancreatic cancer cells.

The induction of autophagy is considered to promote the migratory and invasive capabilities of cancer cells (29). The present study examined the effect of KIN17 inhibition on autophagy induction. Co-treatment of cells with siKIN17#3 and the autophagy inhibitor 3-MA significantly increased migration and invasion of PANC-1 and PACA-2 cells compared with sole treatment with siKIN17#3, indicating reversal of the anti-migratory and anti-invasive effects mediated by KIN17 knockdown (Fig. 5A and B). These findings suggested that the inhibition of autophagy may counteract the anti-migratory and anti-invasive effects of KIN17 knockdown.

Subsequently, the present study investigated whether simultaneous KIN17 knockdown and induction of autophagy could further enhance the inhibition of migration and invasion in pancreatic cancer cells. Rapa, a potent and specific mTOR inhibitor with autophagy-inducing properties, was used in the present study. The results revealed that similar to KIN17 knockdown, siNC + Rapa treatment led to decreased cell migration and invasion compared with siNC alone (Fig. 5C and D). Notably, the combined treatment of Rapa and siKIN17#3 significantly amplified the suppression of cell migration and invasion induced by siKIN17#3. In summary, these results indicated that the combined inhibition of KIN17 and mTOR may effectively boost autophagic activity, leading to synergistic anti-migratory and anti-invasive effects in pancreatic cancer cells.

Increasing evidence has supported the involvement of the PI3K/AKT/mTOR pathway in autophagy processes (30,31). Through integrated analysis using the GEPIA database, the correlation between KIN17 expression and the PI3K/AKT/mTOR signaling pathway was investigated in pancreatic cancer. The findings revealed a positive correlation between KIN17 expression and AKT and mTOR expression (Fig. 6A-B). Results of WB confirmed that the mTOR, P-mTOR, PI3K, P-PI3K, AKT and P-AKT expression levels were significantly decreased in the PANC-1 and PACA-2 cells with KIN17 knockdown (Fig. 6F). Knockdown of KIN17 decreased both total and phosphorylated proteins of the PI3K/AKT/mTOR pathway, which may be due to a change in protein stability; knockdown of KIN17 may affect the stability of proteins in this pathway, leading to an increase in their degradation, which results in a decrease in the total protein level. Meanwhile, phosphorylation is a key factor in the stability of downstream proteins, thus a decrease in total protein may be accompanied by a decrease in phosphorylated proteins. Taken together, these results suggested that KIN17 may act as a regulatory element within the PI3K/AKT/mTOR pathway, validating the predictions from the GEPIA data.