Skip to main content
Download PDF
  • Primary research
  • Open access
  • Published:

Metformin exerts anti-AR-negative prostate cancer activity via AMPK/autophagy signaling pathway

Cancer Cell International volume 21, Article number: 404 (2021) Cite this article

Abstract

Background

Encouraged by the goal of developing an effective treatment strategy for prostate cancer, this study explored the mechanism involved in metformin-mediated inhibition of AR-negative prostate cancer.

Methods

Cell behaviors of DU145 and PC3 cells were determined by CCK8 test, colony formation experiment and scratch test. Flow cytometry was used to detect cell cycle distribution. Cell autophagy was induced with metformin, and an autophagy inhibitor, 3-MA, was used to assess the level of autophagy. Detection of LC3B by immunofluorescence was conducted to determine autophagy level. Cell proliferation, autophagy and cell cycle were examined by performing Western blot. DU145 and PC3 cell lines were transfected with AMPK siRNA targeting AMPK-α1 and AMPK-α2. Tumor formation experiment was carried out to evaluate the anti-prostate cancer effect of metformin in vivo.

Results

The inhibitory effect of metformin on the proliferation of prostate cancer cell lines was confirmed in this study, and the mechanism of such an effect was related to autophagy and the block of cell cycle at G0/G1 phase. Metformin also induced the activation of AMPK, markedly promoted expression of LC3II, and down-regulated the expression of p62/SQSTM1. Animal experiments showed that the tumor volume of metformin group was smaller, meanwhile, the levels of p-AMPK (Thr172) and LC3B were up-regulated and the Ki-67 level was down-regulated, without abnormalities in biochemical indicators.

Conclusion

This study found that autophagy induction might be the mechanism through which metformin suppressed the growth of AR-negative prostate cancer. Moreover, the activation of AMPK/autophagy pathway might be a therapeutically effective for treating AR-negative prostate cancer in the future.

Background

Prostate cancer is main cause of cancer deaths among men in the world, despite great improvement in its therapies in the past decades [1, 2]. A majority of patients are diagnosed with prostate cancer at an advanced stage, thus missing the optimal opportunity for better treatment. Prostate cancer with metastasis into bone requires to be treated by the combination of androgen deprivation, chemotherapy, and radiation. However, in castrate-resistant prostate cancer (CRPC), bone-metastatic outgrowth is difficult to be prevented, directly or indirectly leading to an unfavorable long-term survival [3]. Therefore, effective treatments should be developed for a better cancer management.

Metformin is a commonly used clinical drug to lower blood glucose for patients with type 2 diabetes mellitus. Recent studies have shown that metformin also has anti-tumor effects in vitro and in vivo [4, 5]. A number of systematically conducted observational studies demonstrated that metformin treatment could reduce the risk of developing cancer and related mortality as well as improving the prognosis of patients with cancer and diabetes [6,7,8]. Moreover, the improvement of metformin to the prognosis of prostate cancer has also been previously reported [9]. Though study found that metformin could prevent tumorigenesis of prostate cancer, whether metformin is also effective to prostate cancer patients without diabetes remains to be investigated [10]. The effectiveness of metformin in preventing colorectal cancer, ductal carcinoma in situ oral tumor, squamous cell carcinoma, endometrial cancer has been confirmed in the past [11,12,13,14], long-term research with a large sample size, multiple sectors and ethnic groups has not been conducted.

Autophagy is an evolutionarily conserved process during which cellular materials are delivered to lysosomes for degradation, leading to the breakdown and eventual turnover of the resulting macromolecules [15]. Autophagy has a wide variety of physiological and pathophysiological functions, and aberrations in autophagy have been detected in many diseases [16]. Autophagy is a double-edged sword to tumor cells and the tumor itself [17]. When the autophagy of tumor cells is abnormal, autophagy facilitates the proliferation and survival of the tumor cells. However, moderate autophagy has an anti-tumor effect and acts as an inhibitor of tumors [18, 19]. Recent study demonstrated that the disorder of autophagy is closely related to the formation and development of some malignant tumors [20]. In mammals, AMPK, AMP-activated protein kinase, plays a key role in regulating cellular energy balance and helps restore homeostasis [21]. AMPK protein exists in the form of a heterotrimeric complex, which consists of an α-catalytic subunit, a β-regulatory subunit, and a γ-regulatory subunit. Humans and rodents express two subtypes of α-subunits and β-subunits (α1, α2; β1, β2) and three subtypes of γ-subunits (γ1, γ2, γ3) from different genes. It has been reported that the progression of cancer and resistance to chemotherapeutic drugs is always related to the loss of AMPK pathway in various types of cancers [22,23,24], and that AMPK activation can promote the activation of downstream autophagy [25, 26].

This study found that metformin could effectively inhibit the growth of AR-negative prostate cancer cells through blocking cell cycle keeping cells at G0/G1 phase. Up-regulated expressions of p-AMPK and LC3II indicated the activation of AMPK was involved in the inhibitory effect of metformin on prostate cancer through regulating autophagy. Importantly, the results obtained after the administration of AMPK siRNA or 3-MA further indicated that the AMPK/autophagy pathway might be the mechanism of metformin in treatment of prostate cancer. Moreover, we also explored the inhibitory effect of metformin on prostate cancer by performing in vivo tumor formation experiment. Our findings supported metformin as an alternative to the inhibition of the growth of AR-negative prostate cancer.

Methods

Chemicals

Metformin was purchased from Sigma-Aldrich (St. Louis, MO, USA). Fetal calf serum (FBS) and Dulbecco’s Modified Eagle’s Medium were purchased from HyClone (Logan, UT, USA). The autophagy inhibitor, 3-Methyladenine, was ordered from Selleck, USA. The small interfering RNA of AMPK (sc-45312) and normal control (sc-37007) came from Santa Cruz (CA, USA). BeyoClick™ EdU Cell Proliferation Kit with Alexa Fluor 555 (C0075s) was obtained from Beyotime Biotechnogy (Shanghai, China). The primary antibody of LC3B (L7543) for Western blot was obtained from Sigma-Aldrich (St. Louis, MO, USA). Other primary antibodies of cyclinD1 (AF0126), PCNA (AF1363), ERK (AF1051), p-ERK (AF5818), p62/SQSTM1 (AF5312), AMPKα (AF6195), and p-AMPK (Thr172) (AF5908) were ordered from Beyotime Biotechnology (Shanghai, China). The primary anti-LC3B antibody with Alexa Flour 647 fluorescence for immunofluorescence was from Abcam (Cambridge, MA, USA). The antibodies of LC3B (GB13431) and Ki67 (GB111499) for immunohistochemistry were attained from Servicebio (Wuhan, China). All the antibodies were used at a ratio of 1:1000 in Western blot assays, and p-AMPK (1:50), LC3B (1:300) and Ki-67 (1:600) were used in Immunohistochemistry assays.

Cell Culture and transfection

DU145 and PC3 cells were commercially ordered from American Type Culture Collection (ATCC, Shanghai). These cells were cultured in Dulbecco’s Modified Eagle’s Medium supplemented with 10% fetal bovine serum and 1% penicillin–streptomycin (HyClone, Logan, UT, USA). The cell incubator was maintained at 37 °C with 95% air and 5% CO2 under the condition of humidified atmosphere.

To transfect DU145 and PC3 cells, small interfering RNA for AMPK-α1 and AMPK-α2 was used with Lipofectamine 3000 Transfection Reagent (Invitrogen, Carlsbad, CA, USA), according to the instructions. Metformin at a concentration of 20 mM was added into the culture media after transfection for 24 h (h). Then the culture media was replaced with Dulbecco’s Modified Eagle’s Medium for another 24 h culture.

Cell viability, Colony formation experiment, cell proliferation assay, scratch assay, and cell invasion assay

DU145 and PC3 cells were seeded into a 96-well plate (3 × 103 cells/well), and treated with different concentrations of metformin for 24, 48 or 72 h after cell attachment. To assess cell viability, a Cell Counting Kit (CCK)-8 (Dojindo, Kumamoto, Japan) assay was carried out. Briefly, 10 μL CCK solution was added to each well and incubated the culture plate of an incubator for 2 h. The absorbance at 450 nm was measured using a microplate reader (Thermo Fisher Scientific, Waltham, MA, USA), and the control cell viability was defined as 100%. For colony formation experiment, 300 DU145 or PC3 cells were seeded into 6-well plates, respectively. After 24 h, the cells were treated with metformin at a concentration of 0, 5, 10 or 20 mM. After 7 days, the cells were dyed by 0.2% crystal violet (Sigma-Aldrich, St. Louis, MO, USA) staining for observing colony formation. For EdU assay, 1 × 105 cells were seeded onto a 6-well plate and processed with metformin for 24 h, followed by the addition of EdU. Then the cells were performed with click reaction and incubated with Hoechst 33,342. At last, the cell images were captured under a Nikon Eclipse E 400 microscope (Nikon, Fukok, Japan) [27]. The proportion of EdU positive cells, namely proliferating cells, was the ratio of Azide 555 cells (red) and the sum of Azide 555 (red) and Hoechst (blue) cells. In the scratch assay, the cells were seeded into 6-well plates till 90% confluence. A scratch was made on the top center of the accumulated cells using a pipette tip. And the medium was replaced with pure DMEM with 0–2% FBS. Cell migration at 0 and 48 h after scratching was examined and recorded with a microscope (Olympus, Japan). We used Image J to measure the length between the two borders of the scratch for random 20 places to calculate the migration rate. For cell invasion assay, 1 × 105 cells were counted and seeded into the 8 μm transwell inserts (Corning, New York, USA) after the inserts had been coated with 5 mg/ml matrigel (BD Biosciences, California, USA). Pure DMEM with 20% FBS and pure DMEM without FBS was respectively used in the lower and upper chamber. The cells invaded into the lower chamber were fixed with paraformaldehyde and stained with crystal violet after 24 h. Finally, the cell images were captured and counted using Nikon Eclipse E 400 microscope (Nikon, Fukok, Japan) [28]. We used Image J to measure the cell number of three different horizons.

Cell cycle analysis

DU145 and PC3 cells were seeded into 6-well plates at a density of 1 × 106 cells per well treated with different concentrations of metformin for 48 h. The cells were trypsinized and collected before centrifugation (800 g, 5 min). Moreover, the cell pellets were washed with phosphate-buffered saline (PBS) twice. 300 µL PBS was used to resuspend the final cell pellets, followed by fixation with 700 µL precooled 70% alcohol at 4℃ overnight. The cells were incubated with 2.5 μL Rnase and 25 μL propyl iodide (PI) (Dojindo, Kumamoto, Japan) in 0.5 ml assay in an incubator at 37℃ for 30 min (min) at the second day. Cell cycle distribution was analyzed by flow cytometry (Thermo Fisher Scientific, Waltham, MA, USA) [29].

Western blot analysis

After properly processing the cells, the cells were placed on ice before adding RIPA buffer (50 mM Tris, pH 7.4), 150 mM NaCl, 1% Triton X-100, 1% sodium deoxycholate, 0.1% SDS, sodium orthovanadate, sodium fluoride (EDTA, leupeptin) with protease inhibitor (100 mM) at a proportion of 99:1. The protein lysates were quantified by BCA method, separated by 5%-15% sodium dodecyl sulfate–polyacrylamide gel electrophoresis, and transferred to a polyvinylidene difluoride membrane (Abcam, Cambridge, MA, USA). Subsequently, the membrane was sealed with 5% non-fat milk in Tris buffer saline for 90 min at room temperature. The membrane was then washed and incubated overnight at 4 ℃ with an appropriate primary antibody at 1:1000. The next day, the membrane was washed and incubated with horseradish peroxidase-coupling secondary antibody in Tris buffer saline at room temperature for 1 h. At last, the membrane was developed with BeyoECL Plus developer (Beyotime, Shanghai, China) using the Bio-Rad Molecular Imager FX.

In vivo experiments

The research complies with the commonly accepted principle of “reduction, refinement, replacement” (3Rs). 8 male BALB/c nude mice aged 4 to 6 weeks old were purchased from Shanghai Laboratory Animal Center (Shanghai, China). After proper adaptation, 2 million DU145 cells were subcutaneously seeded into anterior armpit (a. ap) of the mice. About 2 weeks later, the mice were randomly assigned to two groups, one group of mice were daily orally administrated with 200 μL PBS, while another group of mice were orally administrated with 200 μL metformin (250 mg/kg/day). The body weight and tumor size were recorded every three days, and the tumor size was calculated with the formula of 0.5 × (longest diameter) × (shortest diameter)2. 21 days after the treatment, the blood of mice was collected for biochemical detection and tumor tissues were collected to be frozen in liquid nitrogen. All the procedures in these experiments were approved by the Animal Protection and Use Committee of Soochow University.

Immunohistochemistry analysis

A small section of each tumor tissue was cut for paraffin-embedding, followed by immunohistochemical staining. The sections were stained with antibodies of p-AMPK (1:50), LC3B (1:300), and Ki-67 (1:600). Ki67 was expressed nuclear that we used positive cell count analysis. LC3B and pAMPK were expressed cytoplasmic so that we used areal density analysis. For pAMPK and LC3B: Measure the cumulative optical density (IOD) of each slice with the pixel area (pixel) as the standard unit; and the corresponding tissue area (Area); and calculate the area density (Areal Density) = IOD/Area. For Ki67: Measure the number of positive cells in the 3 fields of view of each slice; and the corresponding total cell number, and calculate the positive rate (%) = positive cell number/total cell number*100. Here, we used three tumors for every group. And we used Upright Metallurgical Microscope (model: Eclipse Ci-L microscope, Nikon, Japan) for IHC image-capturing. The software for IHC analysis was Image-Pro Plus 6.0 from Media Cybemetics (USA).

Statistical analysis

Statistical results were processed with SPSS 16.0. The data were shown as mean ± standard deviation from at least triplicate experiments. Student’s t-test or One-way analysis of variance was used to compare two or more groups. *p < 0.05, **p < 0.01, and ***p < 0.001 were considered as statistically significant.

Results

Metformin suppressed the growth, migration and invasion of AR-negative prostate cancer cell lines

To examine the anti-prostate cancer effect of metformin, cell viability was measured by CCK8 assay. The results showed the cell viability was gradually reducing with increased metformin concentration and prolonged time (Fig. 1a). The data from colony formation experiment demonstrated that colony formation was decreased as the concentration of metformin increased (Fig. 1b, c). Meanwhile, from cell proliferation assay, we observed that metformin inhibited cell proliferation as the concentration increased (Fig. 1d, e). Flow cytometry results demonstrated that metformin promoted the block of the cell cycle at G0/G1 phase (Fig. 2a, b). In Western blot, the expression levels of PCNA, p-Erk/Erk, and cyclin D1 were found to be down-regulated. These results indicated that the ERK activation might be involved in the regulation of metformin on prostate cancer (Fig. 2c). Moreover, the cell migration and invasion number were reduced with the increase of the concentration of metformin (Fig. 3a–d).

Fig. 1
figure 1

Metformin played an inhibitory role in the growth and migration of human prostate cancer cells. a Cell viability was determined by CCK-8 test after DU145 and PC3 cells had been treated with metformin for 24, 48, and 72 h. b, c Clone ability of DU145 and PC3 cells was detected by colony formation assay with metformin treatment. d, e Cell proliferation was examined by EdU assay. Data are presented as the mean ± SD. *p < 0.05; **p < 0.01; ***p < 0.001 compared with the control group

Full size image
Fig. 2
figure 2

Metformin blocked cell cycle at G0/G1 phase. a, b Cell cycle distribution of metformin-treated cells was detected by flow cytometry. c The protein expression associated with the cell cycle was determined with Western blot analysis. The relative cyclin D1 and PCNA levels were normalized to that of α-Tubulin. p-ERK/ERK is shown. Numbers under the bands are the relative expression values to that of α-Tubulin, except for p-ERK. Data are presented as the mean ± SD. *p < 0.05; **p < 0.01; ***p < 0.001 compared with the control group. Ctr, Control; Met, Metformin

Full size image
Fig. 3
figure 3

Metformin reduced the migration and invasion of AR-negative prostate cancer cells. a, b The scratch assay showed reduced migration ability of prostate cancer cells. c, d The invasion of prostate cancer cells was assessed with Transwell assay. **p < 0.01; ***p < 0.001 compared with the control group

Full size image

Metformin promoted autophagy of prostate cancer cells

Whether metformin could promote autophagy of prostate cancer cells was investigated. DU145 and PC3 cells were respectively treated with metformin for 6, 12, and 24 h at a concentration of 20 mM. Western blot results showed that the expression of LC3II, an indicator of autophagy, was up-regulated (Fig. 4a). To verify the mechanism through which metformin suppressed the proliferation and growth of prostate cancer cells, the cells were treated with 3-MA (an autophagy inhibitor) in advance for 2 h. We found that 3-MA at a concentration of 50 µM did not have significant toxic effect on the prostate cancer cells (Fig. 4b). Further results also showed that 3-MA could reduce the inhibitory effect of metformin (Fig. 4c). In the immunofluorescence assay, the formation of red fluorescent protein (Alexa Flour 647)-marked LC3‐positive autophagosome was getting more with the metformin concentration increasing, which indicated the autophagic process (Fig. 4d).

Fig. 4
figure 4

Metformin promoted autophagy of prostate cancer cells. a The expressions of LC3I and LC3II were detected by Western blot after treatment with metformin for 0 h, 6 h, 12 h, and 24 h for DU145 and PC3 cells. b The cells were treated with the autophagic inhibitor, 3-MA, for 24 h, and the viability of cells were tested by CCK8 assay. c The cells were treated with 3-MA at 50 μM for 2 h before treated with metformin at 20 mM, and the viability of cells were tested by CCK8 assay. d The cells were intervened with metformin at different concentrations for 24 h and assessed by immunofluorescence assay with an anti‐LC3 antibody. Numbers under the bands (LC3‐II for LC3) are the relative expression values to that of LC3I. Data are presented as the mean ± SD. **p < 0.01; ***p < 0.001 compared with the control group. Ctr, Control; Met, Metformin

Full size image

Metformin activated AMPK/autophagy signaling pathway in prostate cancer cells

Previous studies showed that metformin can activate AMPK, which is a key molecule mainly involved in cell growth, proliferation and autophagy. After treating DU145 and PC3 cells with metformin (5 mM, 10 mM, 20 mM) for 24 h, we observed that the phosphorylation level of AMPK (p-AMPK) and LC3II were up-regulated in DU145 and PC3 cells, while expression level of p62/SQSTM1 was down-regulated (Fig. 5a). To verify the role of AMPK in regulating the expressions of autophagy-associated proteins, we treated DU145 and PC3 cells with AMPK siRNA before adding 20 mM metformin. The results showed metformin could attenuate the cell growth promoted by AMPK siRNA (Fig. 5b, c). This showed with the reduction of AMPK, which is responsible for autophagy, autophagy was also reduced and cell growth was increased.

Fig. 5
figure 5

Metformin activated AMPK/autophagy signaling pathway in prostate cancer cells. a DU145 and PC3 cells were treated with metformin for 24 h and the expressions of p62/SQSTM1, AMPK, p-AMPK, LC3‐I and LC3‐II levels were analyzed by Western blot. b, c CCK8 assay and Western blot analysis were conducted after the cells had been treated with AMPK siRNA for 24 h first and then metformin for another 24 h. Numbers under the bands (LC3‐II for LC3) are the relative expression values to that of LC3I. Data are presented as the mean ± SD. ***p < 0.001 compared with the control group. Met, Metformin

Full size image

Metformin resists prostate cancer in vivo

Finally, we conducted animal experiments to explore the inhibitory effect of metformin on prostate cancer in vivo. Oral administration of metformin or phosphate buffer saline was adopted after subcutaneous formation of tumor using DU145 cells. We observed that the tumor of metformin group grew slower, and that the tumor size was significantly reduced in the metformin group compared with the normal control group (Fig. 6a, b). There was no significant difference in body weight between the two groups during the whole experimental process (Fig. 6c) or in biochemical related indicators (AST, ALT, BUN or Scr) (Fig. 6d). After oral administration for 21 days, we harvested the tumor tissues for immunohistochemical staining, the results of which demonstrated the expression of p-AMPK and LC3B was up-regulated and that of Ki-67 level was down-regulated in metformin group compared with normal control group (Fig. 6e, f).

Fig. 6
figure 6

Metformin resisted prostate cancer growth in vivo. a Photos of tumors collected from the mice. DU145 cells were injected into anterior armpit of BALB/c male nude mice (n = 4 for each group). Then the mice were treated with metformin or PBS by daily oral administration. b, c Tumor volume and body weight of mice were recorded every 3 days. d The serum levels of ALT, AST, BUN, and Scr in mice from each group were detected. e, f Immunohistochemical analysis of p-AMPK, LC3B, and Ki67 for the two groups. Data are presented as the mean ± SD. *p < 0.05; **p < 0.01; ***p < 0.001 compared with the control group

Full size image

Discussion

The incidence of prostate cancer is increasing [1]. Though current treatments could help improve overall survival, we still lack an effective therapy against the cancer [30]. Metformin is a commonly used clinical drug for diabetes, and studies have increasingly shown that metformin could also prevent the occurrence of some cancers such as colorectal cancer and the prognosis of non-diabetic cancer patients, including breast cancer, thyroid cancer, and lung cancer. Moreover, combination therapy shows great potential to be a novel therapeutic strategy with significant results [31, 32]. In the present study, we found that metformin exhibited an anti-prostate cancer activity through regulating autophagy in vitro and in vivo models. In the animal study, metformin could greatly inhibit the tumor growth. Crucially, we found that AMPK siRNA suppressed autophagy, and the autophagy inhibitor, 3-MA, increased the viability of prostate cancer cells. These results suggested that AMPK/autophagy might be involved in the mechanism of metformin treatment of prostate cancer.

Metformin, a commonly used anti-diabetic drug, has been widely studied for its promising effects on inhibiting tumorigenesis and cancer development [33, 34]. Our research showed that metformin suppressed the growth of prostate cancer. Metformin blocked cell cycle at G0/G1 phase, which was in accordance with some previous studies, as metformin has also been found to be able to induce cell cycle block at G0/G1 phase in lymphoma and breast cancer [35,36,37]. Although metformin could suppress the growth of prostate cancer, single application of it might not be as effective as when its synergy is used with drugs in treating prostate cancer [38, 39]. Moreover, some studies also suggested the effectiveness of combined use of metformin with other promising drugs for treating prostate cancer. For osseous metastatic castration-resistant prostate cancer cells, the use of simvastatin in combination with metformin could induce G1-phase cell cycle arrest via activation of AMPK, promote autophagy [40], and inhibit the growth of LNCaP cell through activating AMPK and AKT [41]. Currently, the mechanism about the inhibitory effect of metformin on prostate cancer has not been studied.

Many cell-autonomous activities of metformin have been reported, primarily involving activation of AMPK pathway in breast cancer [42], inhibition of AKT-mTORC1 pathway in myeloma [43], suppression of cell cycle progression in esophageal squamous cell carcinomas [44], regulation of MAPK in lung cancer [45], SP1 transcription factor regulation in pancreatic tumor cells [42] and the unfolded protein response (UPR) in prostate cancer [46]. In our research, we discovered that metformin could reduce the ratio of p-ERK/ERK in the MAPK pathway. Cell cycle distribution results and low-expressed PCNA and cyclin D1 all indicated the block of cell cycle. AMPK, a major metabolic energy sensor, could cause autophagy [47]. Here we found that AMPK might mediate metformin-induced autophagy in prostate cancer, because we observed that knocking out AMPK promoted metformin-induced autophagy (see Fig. 7). The use of 3-MA attenuated the promotion of autophagy resulted from metformin, providing evidence for the involvement of autophagy pathway in the mechanism. At the same time, we also discovered that oral administration of metformin at a dose of 250 mg/kg produced no side effects for treating prosate cancer in vivo. In most cases, the doses of metformin used in preclinical studies in vitro and in vivo may resulted in a maximum serum level of metformin that are 10–100 times higher than those used in human clinical trials [48]. Therefore, the optional dose of metformin for clinical use should be carefully determined.

Fig. 7
figure 7

A simple schema showed how metformin affected the growth of AR-negative prostate cancer cells

Full size image

In our research, we showed that metformin could inhibit the growth of AR-negative prostate cancer cells in vitro and tumors in vivo. Clinical treatment should determine the optimal dose of metformin for patients with the cancer. Moreover, whether metformin could be used in combination with radical prostatectomy, endocrine therapy, and external radiation therapy to improve the recurrence of some prostate cancer cases were still unknown. Therefore, more comprehensive studies are required before direct application of metformin in the treatment of AR-negative prostate cancer.

Conclusion

We found that metformin has an inhibitory role in treating AR-negative prostate cancer by blocking cell cycle and inducing autophagy via AMPK/autophagy pathway, showing a strong potential to be clinically used to treat AR-negative prostate cancer.

Availability of data and materials

All data generated or analyzed during this study are included in this published article.

Abbreviations

CRPC:

Castrate-resistant prostate cancer

FBS:

Fetal calf serum

PBS:

Phosphate‐buffered saline

PI:

Propyl iodide

Met:

Metformin

References

  1. Pernar CH, Ebot EM, Wilson KM, Mucci LA. The epidemiology of prostate cancer. Cold Spring Harb Perspect Med. 2018;8:30361.

    Article  Google Scholar 

  2. Womble PR, VanVeldhuizen PJ, Nisbet AA, Reed GA, Thrasher JB, Holzbeierlein JM. A phase II clinical trial of neoadjuvant ketoconazole and docetaxel chemotherapy before radical prostatectomy in high risk patients. J Urol. 2011;186:882–8.

    Article  CAS  PubMed  Google Scholar 

  3. Owen KL, Gearing LJ, Zanker DJ, Brockwell NK, Khoo WH, Roden DL, et al. Prostate cancer cell-intrinsic interferon signaling regulates dormancy and metastatic outgrowth in bone. EMBO reports. 2020;15:e50162.

    Google Scholar 

  4. Anisimov VN. Do metformin a real anticarcinogen? A critical reappraisal of experimental data. Ann Transl Med. 2014;2(6):60.

    PubMed  PubMed Central  Google Scholar 

  5. Quinn BJ, Kitagawa H, Memmott RM, Gills JJ, Dennis PA. Repositioning metformin for cancer prevention and treatment. Trends Endocrinol Metab. 2013;24(9):469–80.

    Article  CAS  PubMed  Google Scholar 

  6. Heckman-Stoddard BM, DeCensi A, Sahasrabuddhe VV, Ford LG. Repurposing metformin for the prevention of cancer and cancer recurrence. Diabetologia. 2017;60(9):1639–47.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Dulskas A, Patasius A, Linkeviciute-Ulinskiene D, Zabuliene L, Smailyte G. A cohort study of antihyperglycemic medication exposure and survival in patients with gastric cancer. Aging. 2019;11(17):7197–205.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Park S, Willingham MC, Qi J, Cheng S-Y. Metformin and JQ1 synergistically inhibit obesity-activated thyroid cancer. Endocr Relat Cancer. 2018;25(10):865–77.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Joshua A, Zannella V, Downes M, Bowes B, Hersey K, Koritzinsky M, et al. A pilot ‘window of opportunity’ neoadjuvant study of metformin in localised prostate cancer. Prostate Cancer Prostatic Dis. 2014;17(3):252–8.

    Article  CAS  PubMed  Google Scholar 

  10. Anisimov VN. Metformin for cancer and aging prevention: is it a time to make the long story short? Oncotarget. 2015;6(37):39398–407.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Hosono K, Endo H, Takahashi H, Sugiyama M, Sakai E, Uchiyama T, et al. Metformin suppresses colorectal aberrant crypt foci in a short-term clinical trial. Cancer Prev Res. 2010;3(9):1077–83.

    Article  CAS  Google Scholar 

  12. DeCensi A, Puntoni M, Guerrieri-Gonzaga A, Cazzaniga M, Serrano D, Lazzeroni M, et al. Effect of metformin on breast ductal carcinoma in situ proliferation in a randomized presurgical trial. Cancer Prev Res (Phila). 2015;8(10):888–94.

    Article  CAS  Google Scholar 

  13. Vitale-Cross L, Molinolo AA, Martin D, Younis RH, Maruyama T, Patel V, et al. Metformin prevents the development of oral squamous cell carcinomas from carcinogen-induced premalignant lesions. Cancer Prev Res. 2012;5(4):562–73.

    Article  CAS  Google Scholar 

  14. Zhang Q, Celestino J, Schmandt R, Mccampbell AS, Urbauer DL, Meyer LA, et al. Chemopreventive effects of metformin on obesity-associated endometrial proliferation. Am J Obstetr Gynecol. 2013;209(1):24.

    Article  CAS  Google Scholar 

  15. Abdrakhmanov A, Gogvadze V, Zhivotovsky B. To Eat or to Die: Deciphering Selective Formsof Autophagy. Trends Biochem Sci. 2020;45:4.

    Article  CAS  Google Scholar 

  16. Li X, He S, Ma B. Autophagy and autophagy-related proteins in cancer. Mol Cancer. 2020;19:647.

    Google Scholar 

  17. Peng M, Darko KO, Tao T, Huang Y, Su Q, He C, et al. Combination of metformin with chemotherapeutic drugs via different molecular mechanisms. Cancer Treat Rev. 2017;54:24–33.

    Article  CAS  PubMed  Google Scholar 

  18. Aita VM, Liang XH, Murty VVVS, Pincus DL, Yu W, Cayanis E, et al. Cloning and genomic organization of Beclin 1, a candidate tumor suppressor gene on chromosome 17q21. Genomics. 1999;59(1):59–65.

    Article  CAS  PubMed  Google Scholar 

  19. Xia Y, Liu Y-L, Xie Y, Zhu W, Guerra F, Shen S, et al. A combination therapy for KRAS-driven lung adenocarcinomas using lipophilic bisphosphonates and rapamycin. Cancer. 2014;6(263):263ra161.

    Google Scholar 

  20. Chen K, Li Y, Guo Z, Zeng Y, Zhang W, Wang H. Metformin: current clinical applications in nondiabetic patients with cancer. Aging. 2020;12(4):3993–4009.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Hardie DG, Schaffer BE, Brunet A. AMPK: an energy-sensing pathway with multiple inputs and outputs. Trends Cell Biol. 2016;26(3):190–201.

    Article  CAS  PubMed  Google Scholar 

  22. Sánchez BG, Bort A, Mateos-Gómez PA, Rodríguez-Henche N, Díaz-Laviada I. Combination of the natural product capsaicin and docetaxel synergistically kills human prostate cancer cells through the metabolic regulator AMP-activated kinase. Cancer Cell Int. 2019;19:54.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Wei C, Yao X, Jiang Z, Wang Y, Zhang D, Chen X, et al. Cordycepin inhibits drug-resistance non-small cell lung cancer progression by activating AMPK signaling pathway. Pharmacol Res. 2019;144:79–89.

    Article  CAS  PubMed  Google Scholar 

  24. Bort A, Sánchez BG, Mateos-Gómez PA, Vara-Ciruelos D, Rodríguez-Henche N, Díaz-Laviada I. Targeting AMP-activated kinase impacts hepatocellular cancer stem cells induced by long-term treatment with sorafenib. Mol Oncol. 2019;13(5):1311–31.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Pineda-Ramírez N, Alquisiras-Burgos I, Ortiz-Plata A, Ruiz-Tachiquín M-E, Espinoza-Rojo M, Aguilera P. Resveratrol activates neuronal autophagy through AMPK in the ischemic brain. Mol Neurobiol. 2019;57:414.

    Google Scholar 

  26. Wu Q, Li J, Li Z, Sun S, Zhu S, Wang L, et al. Exosomes from the tumour-adipocyte interplay stimulate beige/brown differentiation and reprogram metabolism in stromal adipocytes to promote tumour progression. J Exp Clin Cancer Res. 2019;38:746.

    Google Scholar 

  27. Yao X, Jing X, Guo J, Sun K, Deng Y, Zhang Y, et al. Icariin protects bone marrow mesenchymal stem cells against iron overload induced dysfunction through mitochondrial fusion and fission, PI3K/AKT/mTOR and MAPK pathways. Front Pharmacol. 2019;10:163.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Jagadish N, Parashar D, Gupta N, Agarwal S, Suri V, Kumar R, et al. Heat shock protein 70–2 (HSP70-2) is a novel therapeutic target for colorectal cancer and is associated with tumor growth. BMC Cancer. 2016;16:561.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  29. Liu H, Meng L, Lin Z, Shen Y, Yu Y, Zhu Y. Cochinchina momordica seed extract induces apoptosis and cell cycle arrest in human gastric cancer cells via PARP and p53 signal pathways. Nutr Cancer. 2012;64(7):1070–7.

    Article  PubMed  Google Scholar 

  30. Motteta N, Bellmunt J, Bolla M, Briers E, Cumberbatch MG, Santis MD, et al. EAU-ESTRO-SIOG guidelines on prostate cancer. Part 1: screening, diagnosis, and local treatment with curative intent. Eur Urol. 2017;71(4):618–29.

    Article  Google Scholar 

  31. Khawaja MR, Nick AM, Madhusudanannair V, Fu S, Hong D, McQuinn LM, et al. Phase I dose escalation study of temsirolimus in combination with metformin in patients with advanced/refractory cancers. Cancer Chemother Pharmacol. 2016;77(5):973–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Zaidi S, Gandhi J, Joshi G, Smith NL, Khan SA. The anticancer potential of metformin on prostate cancer. Prostate Cancer Prostatic Dis. 2019;28:465.

    Google Scholar 

  33. Sui X, Xu Y, Wang X, Han W, Pan H, Xiao M. Metformin: a novel but controversial drug in cancer prevention and treatment. Mol Pharm. 2015;12:3783–91.

    Article  CAS  PubMed  Google Scholar 

  34. Sacco F, Calderone A, Castagnoli L, Cesareni G. The cell-autonomous mechanisms underlying the activity of metformin as an anticancer drug. Br J Cancer. 2016;115:1451–6.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Shi W-Y, Xiao D, Wang L, Dong L-H, Yan Z-X, Shen Z-X, et al. Therapeutic metformin/AMPK activation blocked lymphoma cell growth via inhibition of mTOR pathway and induction of autophagy. Cell Death Dis. 2012;3:e275.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  36. Alimova IN, Liu B, Fan Z, Edgerton SM, Dillon T, Lind SE, et al. Metformin inhibits breast cancer cell growth, colony formation and induces cell cycle arrest in vitro. Cell Cycle. 2009;8:909–15.

    Article  CAS  PubMed  Google Scholar 

  37. Jagannathan S, Abdel-Malek M, Malek E, Vad N, Latif T, Anderson K, et al. Pharmacologic screens reveal metformin that suppresses GRP78-dependent autophagy to enhance the anti-myeloma effect of bortezomib. Leukemia. 2015;29(11):2184–91.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. White E. Deconvoluting the context-dependent role for autophagy in cancer. Nat Rev Cancer. 2012;12(6):401–10.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Deng J, Peng M, Wang Z, Zhou S, Xiao D, Deng J, et al. Novel application of metformin combined with targeted drugs on anticancer treatment. Cancer Sci. 2019;110(1):23–30.

    Article  CAS  PubMed  Google Scholar 

  40. Babcook M, Sramkoski R, Fujioka H, Daneshgari F, Almasan A, Shukla S, et al. Combination simvastatin and metformin induces G1-phase cell cycle arrest and Ripk1- and Ripk3dependent necrosis in C4–2B osseous metastatic castration-resistant prostate cancer cells. Cell Death Dis. 2014;5:e1536.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Pennanen P, Syvälä H, Bläuer M, Savinainen K, Ylikomi T, Tammela TLJ, et al. The effects of metformin and simvastatin on the growth of LNCaP and RWPE-1 prostate epithelial cell lines. Eur J Pharmacol. 2016;788:160–7.

    Article  CAS  PubMed  Google Scholar 

  42. Sacco F, Silvestri A, Posca D, Pirro S, Gherardini PF, Castagnoli L, et al. DeepProteomics of breast cancer cells reveals that metformin rewires signaling networks away from a pro-growth state. Cell Syst. 2016;2(3):159–71.

    Article  CAS  PubMed  Google Scholar 

  43. Wang Y, Xu W, Yan Z, Zhao W, Mi J, Li J, et al. Metformin induces autophagy and G0/G1 phase cell cycle arrest in myeloma by targeting the AMPK/mTORC1 and mTORC2 pathways. J Exp Clin Cancer Res. 2018;37(1):63.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  44. Cai X, Xi H, Tan X, Cheng W, Wang Q, Chen X, et al. Metformin induced AMPK activation, G0/G1 phase cell cycle arrest and the inhibition of growth of esophageal squamous cell carcinomas in vitro and in vivo. PLoS ONE. 2015;10(7):e0133349.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  45. Tseng S-C, Huang Y-C, Chen H-J, Chiu H-C, Huang Y-J, Wo T-Y, et al. Metformin-mediated downregulation of p38 mitogenactivated protein kinase-dependent excision repair cross-complementing 1 decreases DNA repair capacity and sensitizes human lung cancer cells to paclitaxel. Biochem Pharmacol. 2013;85(4):583–94.

    Article  CAS  PubMed  Google Scholar 

  46. Yang J, Wei J, Wu Y, Wang Z, Guo Y, Lee P, et al. Metformin induces ER stress-dependent apoptosis through miR-708–5p/NNAT pathway in prostate cancer. Oncogenesis. 2015;4:e158.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Khawaja MR, Nick AM, Madhusudanannair V, Fu S, Hong D, McQuinn LM, et al. The AMPK signalling pathway coordinates cell growth, autophagy and metabolism. Nat Cell Biol. 2011;13(9):1016–23.

    Article  CAS  Google Scholar 

  48. He L, Wondisford FE. Metformin action: concentrations matter. Cell Metab. 2015;21(2):159–62.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

The research was supported by the National Natural Science Foundation of China (No. 81772708).

Author information

Author notes

  1. Chunyang Chen and He Wang contributed equally to this work

Authors and Affiliations

  1. Department of Urology, Wuxi People’s Hospital Affiliated to Nanjing Medical University, 299 Qingyang Road, Wuxi, 214023, Jiangsu, People’s Republic of China

    Chunyang Chen

  2. Department of Urology, The First Affiliated Hospital of Soochow University, 188 Shizi Street, Suzhou, 215006, Jiangsu, People’s Republic of China

    He Wang, Xinyu Geng & Zhengyu Zhu

  3. Jiangsu Institute of Clinical Immunology, The First Affiliated Hospital of Soochow University, 708 Renmin Road, Suzhou, 215006, Jiangsu, People’s Republic of China

    Dongze Zhang & Guangbo Zhang

  4. Jiangsu Key Laboratory of Clinical Immunology, Soochow University, 708 Renmin Road, Suzhou, 215006, Jiangsu, People’s Republic of China

    Dongze Zhang & Guangbo Zhang

  5. Department of Urology, Dushu Lake Hospital Affiliated to Soochow University, 9 Chongwen Road, Suzhou, 215006, Jiangsu, People’s Republic of China

    Jianquan Hou

Authors
  1. Chunyang Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. He Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Xinyu Geng
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Dongze Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Zhengyu Zhu
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Guangbo Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Jianquan Hou
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

Conceptualization, JH and CC; methodology, GZ; Software, DZ; validation, CC, HW and XG; formal analysis, CC; investigation, CC; resources, JH; data curation, ZZ; writing-original draft preparation, CC; writing-review and editing, JH; visualization, CC; supervision, GZ; project administration, JH; funding acquisition, JH. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Jianquan Hou.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests regarding the publication of this paper.

Additional information

Publisher's Note

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

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 http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) 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

Chen, C., Wang, H., Geng, X. et al. Metformin exerts anti-AR-negative prostate cancer activity via AMPK/autophagy signaling pathway. Cancer Cell Int 21, 404 (2021). https://doi.org/10.1186/s12935-021-02043-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12935-021-02043-2

Keywords

Cancer Cell International

ISSN: 1475-2867

Contact us