Wen Zhang1,2, Ruiqian Sun3, Yongjun Zhang4, Rong Hu1,2, Qian Li1,2, Weili Wu1,2, Xinyu Cao5, Jiajian Zhou4, Jianfeng Pei6, Ping Yuan1,2. 1. Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China. 2. Guangdong Institute of Gastroenterology, Guangzhou, China. 3. Guangdong Country Garden School, Foshan City, China. 4. Dermatology Hospital, Southern Medical University, Guangzhou, China. 5. Institute of Clinical Medical Sciences,, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China. 6. Center for Quantitative Biology,, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.
Abstract
There were approximately 1.93 million new cases and 940 000 deaths from colorectal cancer in 2020. The first-line chemotherapeutic drugs for colorectal cancer are mainly based on 5-fluorouracil, although the use of these drugs is limited by the development of drug resistance. Consequently, there is a need for novel chemotherapeutic drugs for the efficient treatment of colorectal cancer patients. In the present study, we screened 160 drugs approved by the Food and Drug Administration and identified that cabazitaxel (CBT), a microtube inhibitor, can suppress colony formation and cell migration of colorectal cancer cells in vitro. CBT also induces G2/M phase arrest and apoptosis of colorectal cancer cells. Most importantly, it inhibits the growth of colorectal cancer cell xenograft tumors in vivo. Transcriptome analysis by RNA-sequencing revealed that Tub family genes are abnormally expressed in CBT-treated colorectal cancer cells. The expression of several p53 downstream genes that are associated with cell cycle arrest, apoptosis, and inhibition of angiogenesis and metastasis is induced by CBT in colorectal cancer cells. Overall, our results suggests that CBT suppresses colorectal cancer by upregulating the p53 pathway, and thus CBT may have potential as an alternative chemotherapeutic drug for colorectal cancer.
There were approximately 1.93 million new cases and 940 000 deaths from colorectal cancer in 2020. The first-line chemotherapeutic drugs for colorectal cancer are mainly based on 5-fluorouracil, although the use of these drugs is limited by the development of drug resistance. Consequently, there is a need for novel chemotherapeutic drugs for the efficient treatment of colorectal cancer patients. In the present study, we screened 160 drugs approved by the Food and Drug Administration and identified that cabazitaxel (CBT), a microtube inhibitor, can suppress colony formation and cell migration of colorectal cancer cells in vitro. CBT also induces G2/M phase arrest and apoptosis of colorectal cancer cells. Most importantly, it inhibits the growth of colorectal cancer cell xenograft tumors in vivo. Transcriptome analysis by RNA-sequencing revealed that Tub family genes are abnormally expressed in CBT-treated colorectal cancer cells. The expression of several p53 downstream genes that are associated with cell cycle arrest, apoptosis, and inhibition of angiogenesis and metastasis is induced by CBT in colorectal cancer cells. Overall, our results suggests that CBT suppresses colorectal cancer by upregulating the p53 pathway, and thus CBT may have potential as an alternative chemotherapeutic drug for colorectal cancer.
5‐fluorouracilcabazitaxelconfidence intervalcolorectal cancer cellgreen fluorescent proteinGene Ontologygeneset enrichment analysishalf‐maximal inhibitory concentrationKyoto Encyclopedia of Genes and Genomesknockout3‐(4,5‐dimethylthiazol‐2‐yl)‐2,5‐diphenyl‐tetrazolium bromideRNA‐sequencingColorectal cancer is the third most diagnosed cancer and leads to the second greatest mortality among cancers worldwide. There were approximately 1.93 million new cases and 940 000 deaths of colorectal cancer in 2020 according to the World Health Organization 1. Multiform therapeutic strategies, such as surgery, chemotherapy, radiotherapy and recent immunotherapy, have been developed and applied to colorectal cancer patients. Surgical resection plus chemotherapy is the most common treatment for early stage of primary colorectal cancer [2]. The first‐line chemotherapeutic drugs of colorectal cancer are mainly based on 5‐fluorouracil (5‐FU). However, these drugs exhibit compromised efficacy as a result of significant toxicity, drug resistance or patient inconvenience [3]. The high mortality of colorectal cancer indicates that the current therapy is far from ideal. Novel chemotherapeutic drugs for the efficient treatment of colorectal cancer patients are urgently needed.As the safety of Food and Drug Administration (FDA)‐approved drugs is demonstrated, the exploration of their therapeutic application to colorectal cancer can greatly reduce the cost and time for drug application. Cabazitaxel (CAS183133‐96‐2; RPR 116258; XRP6258; TXD258; Jevtana; CBT) is an FDA‐approved drug for the treatment of patients who are diagnosed with metastatic castration‐resistant prostate cancer that is resistant to paclitaxel and docetaxel treatment [4]. CBT is a semi‐synthetic taxane derivative. It promotes the polymerization of tubulin and stabilizes microtubules. It inhibits prostate cancer cells by inhibiting androgen receptor and heat shock protein [5] and shows antitumor activity in docetaxel‐refractory metastatic prostate cancer and breast cancer [6, 7]. It is also reported to induce autophagy via the phosphoinositide 3‐kinase/Akt/mechanistic target of rapamycin pathway in lung adenocarcinoma cancer cell line A549 [8]. However, it is not clear whether CBT is effective in inhibiting colorectal cancer, nor what the underlying mechanism comprises.HCT116 cell is a commonly used colorectal cancer cell line. It can be cultured without growth factors in vitro [9, 10, 11, 12]. HCT116 cells are highly motile and invasive and showed high efficiency with respect to forming tumors in a subcutaneous xenograft experiment [13]. Using this cell line, we screened 160 FDA‐approved drugs and found that CBT can efficiently inhibit HCT116 cells. Employing a series of in vitro assays, we found that CBT can suppress HCT116 cell proliferation and migration. CBT induces G2/M phase cell cycle arrest and apoptosis of HCT116 cells. Most interestingly, CBT can efficiently inhibit tumor growth in the HCT116 cell xenograft mouse model. By comparing the transcriptome of CBT‐treated and control HCT116 cells, we found that CBT treatment leads to upregulation of genes involved in the p53 signaling pathway. Further knockout (KO) of p53 in HCT116 cells confirms the key role of p53 signaling for the CBT inhibitory effect in colorectal cancer cells.Overall, the present study reports a novel anti‐colorectal cancer role for CBT, which may be used as an alternative chemotherapeutic drug for the efficient treatment of colorectal cancer patients.
Materials and methods
Cell culture
HCT116 cells were cultured in Dulbecco’s modified Eagle's medium basic media supplemented with 10% fetal bovine serum at 37 °C in an incubator with 5% CO2. The cells were passaged by 0.25% trypsin at a ratio of 1:3 after confluency.
Drug screening by the 3‐(4,5‐dimethylthiazol‐2‐yl)‐2,5‐diphenyl‐tetrazolium bromide (MTT) cytotoxicity assay
5 × 103 HCT116 colorectal cancer cells were seeded per well in a 96‐well plate for overnight culture to allow the cells to adhere to the plate. Dimethylsulfoxide or dimethylsulfoxide diluted FDA drugs were added to the culture medium separately on the next day. After 48 h, cell viability was assessed by the MTT colorimetric assay. Ten microliters of MTT solution (5 mg·mL−1 in PBS) were added to each well. After 3 h of incubation, absorbance at 570 nm with a reference wavelength of 690 nm was assessed to calculate the cell viability with respect to the untreated cells. Three independent biological experiments were performed for each assay.
Cabazitaxel solution preparation
Cabazitaxel was purchased from Topscience (Shanghai, China). For the in vitro experiment, 5 mg of CBT was dissolved in 0.598 mL of dimethylsulfoxide (10 mm) and further diluted with PBS to different concentrations. For the in vivo experiment, based on the formulation of Jevtana (Sanofi‐Aventis Groupe, Paris, France), 10 mg of CBT was dissolved in 0.26 g of polysorbate 80 (Tween 80) and mixed with 0.95 mL of 13% ethanol (w/w) in ddH2O before injection, wiith 0.9% sodium chloride solution being used in the final dilution.
The indicated colorectal cancer cells and prostate cancer cells were treated with a series of diluted CBT for 48 h. The cell viability was measured by the MTT colorimetric assay. The values of CBT‐treated samples were normalized with untreated samples in excel (Microsoft Corp., Redmond, WA, USA) and then input in a nonlinear sigmoidal curve of prism, version 7 (GraphPad Software Inc., San Diego, CA, USA) to calculate the IC50. Three independent biological experiments were performed for each assay.
RNA extraction and RT cDNA synthesis
Total RNA was extracted from the control or CBT‐treated cells using TRIzol Reagent (Invitrogen, Waltham, MA, USA). The concentration and purity of RNA was measured by spectrophotometry (Nanodrop Technologies, Inc., Wilmington, DE, USA). cDNA was synthesized from 2 µg of RNA using 5 × PrimeScript RT Master Mix (Takara, Shiga, Japan) in accordance with the manufacturer’s instructions.
Western blotting
Total proteins of the cells were harvested with RIPA buffer and separated via SDS/PAGE. Subsequently, the proteins were transferred to a poly(vinylidene difluoride) membrane and blocked by 5% slim milk in TBS plus 0.1% Tween 20. The membrane was then blot with β‐actin antibody (dilution 1:1000; SC47778; Santa Cruz Biotechnology, Santa Cruz, CA, USA), Phospho‐Histone H2A.X antibody (dilution 1:1000; catalogue no. 2577; Cell Signaling Technology, Danvers, MA, USA) or p21/Waf1/Cip1 antibody (dilution 1:1000; catalogue no. 2947; Cell Signaling Technology), respectively, overnight at 4 °C. The membrane was washed with TBS plus 0.1% Tween‐20 solution and then blotted with proper horseradish peroxidase‐conjugated secondary antibodies. After washing, chemdoc (Bio‐Rad, Hercules, CA, USA) was used to detect the signals.
Real‐time PCR
The relative expression of mRNA was examined by real‐time PCR using SYBR Green Master Mix (Takara) on an ABI QuantStudio™ 7 real‐time PCR system (Thermo Fisher Scientific, Wlathm, MA, USA). The thermal cycling conditions included an initial hold period at 95 °C for 30 s followed by a two‐step PCR program, comprising 95 °C for 5 s and 60 °C for 30 s with 40 cycle repeats. To evaluate the relative expression, the Ct value of the examined sample gene was first normalized with the Ct value of endogenous Gapdh and then with the Ct values of the respective control sample gene. All experiments were performed with three biological repeats and three technique repeats. Student's t‐test was used for statistical analysis. The primer sequences for real‐time PCR are provided in Table 1.
Table 1
Sequences of quantitative RT‐PCR primers and TP53 gRNA oligos.
RT‐PCR primer
Gene
Species
Forward
Reverse
Tp53i3
Human
AATGCTTTCACGGAGCAAATTC
TTCGGTCACTGGGTAGATTCT
Gadd45a
Human
CCCTGATCCAGGCGTTTTG
GATCCATGTAGCGACTTTCCC
Pmaip1
Human
ACCAAGCCGGATTTGCGATT
ACTTGCACTTGTTCCTCGTGG
Cdkn1a
Human
TGTCCGTCAGAACCCATGC
AAAGTCGAAGTTCCATCGCTC
Fas
Human
AGATTGTGTGATGAAGGACATGG
TGTTGCTGGTGAGTGTGCATT
Sequences of quantitative RT‐PCR primers and TP53 gRNA oligos.
Apoptosis assay
The apoptosis assay was performed using an Annexin V‐FITC/PI Apoptosis Kit (MultiSciences Biotech, Hangzhou, China). Cancer cells were seeded at 1 × 105 cells per well in a six‐well plate for overnight culture. Then, the cells were treated with PBS and cabazitaxel at the IC50 of the respective cells for 48 h. Next, cells were collected for the apoptosis assay in accordance with the manufacturer’s instructions. Flow cytometry analysis was performed using a FACSCanto II (BD Biosciences, Franklin Lakes, NJ, USA) flow cytometer. The percentage of cells at different cell cycle phases was analyzed using flowjo (https://www.flowjo.com). Three biological repeats were employed for each experiment. Student's t‐test was used for the statistical analysis.
Cell cycle assay
Cancer cells were seeded at 1 × 105 cells per well in a six‐well plate. After overnight culture, the cells were treated with cabazitaxel at the IC50 of the respective cell line for 48 h. The cells were gently lifted with 0.25% Trypsin (Gibco, Waltham, MA, USA) at 37 °C for 1 min. Next, the cells were washed once with PBS and fixed with 75% alcohol at −20 °C overnight. Subsequently, the cells were centrifuged at 395
for 5 min and suspended in propidium iodide solution (50 µg·mL−1 propidium iodide, 0.1 mg·mL−1 RNase A and 0.05% Triton X‐100 in PBS) and incubated at 37 °C for 40 min. After centrifugation, the supernatant was removed and the cells were resuspended in 500 µL of PBS for flow cytometry analysis using a FACSCanto II (BD Biosciences) flow cytometer. The percentage of cells at different cell cycle phases was analyzed using flowjo. Three biological repeats were tested for each experiment. Student’s t‐test was used for statistical analysis.
Colony formation assay
Agarose mixture containing 0.5 mL of growth media plus 20% fetal bovine serum and 0.5 mL of 0.8% agararose gel was used to coat each well of a six‐well plate. The plates were subsequently cooled at 4 °C for 5 min to solidify the agarose and then transferred to the tissue culture hood and warmed to 37 °C. 5 × 103 HCT116 cells thoroughly mixed with low density agarose mixture containing 0.5 mL of growth media plus 20% fetal bovine serum and 0.5 mL of 0.4% agararose gel were added to each well of the agarose‐coated plates. After solidification for another 20 min, complete media (1 mL) plus cabazitaxel at different concentrations was added to the wells. After 72 h, the media containing cabazitaxel was removed and 1 mL of fresh media was used for replenishment. The medium was changed every 3 days up to day 14. Colonies were stained with 0.05% crystal violet for 1 h and then washed with PBS. The images of the colonies were captured using a microscope (Olympus, Tokyo, Japan) with a 4× objective lens. The number of colonies was counted manually. The area of colonies was quantified using imagej (NIH, Bethesda, MD, USA). The experiments were performed with three biological repeats and three technical repeats.
Wound healing assay
3 × 104 HCT116 cells were seeded in each well in 12‐well plates with Culture‐Insert 4 Well silicone inserts (Ibidi, Gräfelfing, Germany). The cells were incubated at 37 °C and 5% CO2 for 24 h for attachment. The Culture‐Insert 4 Well was then removed with sterile tweezers. Growth medium with or without 0.03 μm cabazitaxel was added to the culture. All experiments included three biological repeats. The culture images were captured at different time points using a microscope (Leica, Wetzlar, Germany). The gap of the culture was measured using imagej.
In
vivo antitumor assay
All animal experiments were approved by the Institutional Animal Care and Use Committee of the Sixth Affiliated Hospital of Sun Yat‐sen University (Guangzhou, China). Five‐week‐old female BALB/c nude mice were purchased from Charles River Laboratories (Beijing, China) and maintained under specific pathogen‐free condition under a 12:12‐h dark/light photocycle. A maximum of five mice were kept in one microisolator cage with ad libitum feeding of autoclaved food and water. One hundred microliters of green fluorescent protein (GFP)‐labeled HCT116 cells in PBS at a concentration of 5 × 104 cells·μL−1 were subcutaneously injected into the left flank of 6‐week female mice anesthetized using inhaled isoflurane. Seven days later, the xenografted tumors grew to approximately 30–200 mm3 in size. The mice were randomly assigned to five groups (n = 3 per group) for the administration of different reagents. Intraperitoneal injections with 8 and 16 mg·kg−1 CBT, 8 and 16 mg·kg−1 5‐FU and PBS were performed, respectively, at days 0, 5 and 10 after group assignment. The growth of tumor was monitored with an in vivo imaging system (IVIS Spectrum; Xenogen, Alameda, CA, USA) after the mice were anesthetized using inhaled isoflurane. Tumor volume was measured every 3 days and calculated as V = (length × width × height)/2. The mice were weighed every 3 days and their general physical status was recorded daily. The experiment was terminated before the tumor size reached 2000 mm3. The mice were killed with CO2 and the tumors were dissected out for the subsequent experiments.
Gene expression analysis
RNA was extracted from the indicated cells. The RNA‐sequencing (RNA‐seq) libraries were constructed and sequenced with NovaSeq 6000 sequencer by Berry Genomics Co Ltd (Beijing, China). Raw sequencing reads were subjected to quality filtering and adapter removal. The remain reads were then aligned to the reference human genome (hg19) using star2 (v2.7.3a) [14]. The gene expression was quantified as FPKM (i.e. fragments per kilobase of gene per million mapped read) using cufflinks, version 2.2.1 [15]. Differential expression genes were determined using |log2(fold change)| ≥ 0.58 in CBT‐treated HCT116 cells versus control HCT116 cells. The |log2(fold change)| prerank gene list was used for the subsequent enrichment analyses. Geneset enrichment analysis (GSEA) was used to assess the enrichment from the Hallmark geneset collection provided by the v4.0 MsigDB [16] and Kyoto Encyclopedia of Genes and Genomes (KEGG) [17, 18, 19].
Establishment of TP53 KO HCT116 cells by CRISPR/Cas9
TP53 KO HCT116 cells were generated by CRISPR/Cas9 using gRNAs as described previously [20]. Two hTP53 gRNA KO plasmids (YKO‐RP003‐hTP53, YKO‐RP003‐hTP53, Ubigene) were obtained from Ubigene Company (Guangzhou, China). gRNA oligos are listed in Table 1. The hTP53 gRNA KO plasmids were transfected into HCT116 cells using Lipofectamine 3000 (Invitrogen). The cells were selected using a concentration of 0.8 μg·mL−1 of purimycin at 24 h after transfection to eliminate the nontransfected cells. The survived cells were subcultured and checked for expression of GFP. Knockout of TP53 was confirmed by western blotting.
Results
Cabazitaxel can efficiently inhibit the proliferation and migration of colorectal cancer cells
To identify drugs that have potential to treat colorectal cancer, we utilized HCT116 cells as a colorectal cancer cell model and screened 160 FDA‐approved drugs (Table 2). Our initial trial revealed that CBT could efficiently reduce the number of viable HCT116 cells after 48 h of drug treatment (Fig. 1A). A concentration of 0.03 μm CBT reduced the viable HCT116 cells to 50%, whereas 0.24 μm CBT reduced the cell viability to 30% (Fig. 1B). To determine whether CBT plays a broad inhibitory role for different colorectal cancer cells, we next investigated its cytotoxicity to HCT116, LoVo, HCT8 and DLD1 cells. Because CBT is an FDA‐approved drug for prostate cancer, we also included prostate cancer cell DU145 and PC3 in the experiment as positive controls. We examined cell viability at 48 h after CBT treatment at different concentrations by the MTT colorimetric assay and calculated the IC50. IC50 values of CBT to HCT116, LoVo, HCT8 and DLD1cells were 0.029 μm [0.023–0.036 μm, 95% confidence interval (CI)], 0.063 μm (0.047–0.087 μm, 95% CI), 0.255 μm (0.198–0.328 μm, 95% CI) and 0.532 μm (0.438–0.646 μm, 95% CI), respectively. Meanwhile, IC50 values of CBT to prostate cancer cell DU145 and PC3 cells were 0.054 μm (0.033–0.090 μm, 95% CI) and 0.066 μm (0.030–0.148 μm, 95% CI) (Fig. 1C). These results suggest that CBT inhibits colorectal cancer cell HCT116 and LoVo cells as efficiently as prostate cancer cell DU145 and PC3 cells. However, a much higher dose of CBT is required to inhibit colorectal cancer cell HCT8 cells and DLD1 cells.
Table 2
FDA‐approved drugs for colorectal cancer screen.
Drug name
Nitisinone
Methacholine chloride
Dutasteride
Edoxaban tosylate monohydrate
Ipragliflozin
Vemurafenib (PLX4032, RG7204)
AP24534 Ponatinib
Montelukast sodium
Panobinostat (LBH589)
Edoxaban
Pomalidomide
Ciclesonide (RPR251526)
WY‐14643 (Pirinixic Acid)
Isavuconazole
Brexpiprazole
Trelagliptin succinate
Afatinib (BIBW2992)
Indacaterol
Felbamate
MLN2238 (Ixazomib)
Nandrolone
Flupenthixol dihydrochloride
Guanethidine monosulfate
Nandrolone decanoate
TAK‐438 (Vonoprazan fumarate)
Diflorasone
Etonogestrel
Ulipristal acetate
Etravirine (TMC125)
Etofibrate
Dexmedetomidine
Ivabradine hydrochloride
Dienogest
Rufinamide
Ecabet sodium
Oxandrolone
Dalasetron mesylate hydrate
Peramivir trihydrate
Bazedoxifene acetate
Eflornithine hydrochloride monohydrate
Lercanidipine
Fluoxymesterone
Lacosamide
Prucalopride
Pitavastatin calcium
Tirofiban hydrochloride monohydrate
Allylestrenol
Alosetron hydrochloride
Aclidinium bromide
Tolmetin
Alizapride hydrochloride
Tapentadol hydrochloride
Cabazitaxel
Alcaftadine
Levosimendan
Pazopanib
Amfenac sodium monohydrate
Entecavir
Neomycin sulfate B
Pimobendan
Carbidopa hydrate
Benactyzine hydrochloride
Levomilnacipran
Nafamostat mesylate
Ziprasidone
Fasudil (HA‐1077) hydrochloride
Daclatasvir dihydrochloride
Deoxycorticosterone acetate
Fimasartan (BR‐A‐657)
Menatetrenone
Avanafil
Acotiamide hydrochloride
Ebastine
Tolvaptan
Elvitegravir (GS‐9137, JTK‐303)
Efinaconazole
Radotinib
Dolutegravir sodium (GSK1349572)
Rilpivirine
Amikacin sulfate salt
Nicotinic acid hydrazide
Hesperetin
Drofenine hydrochloride
Luteolin
Formononetin
Isoliquiritigenin
Fulvestrant
Tranilast
Oxfendazole
Gallamine triethiodide
Lisinopril dihydrate
Cyclophosphamide monohydrate
Pimaricin
l‐Cycloserine
Naftopidil
Ursodeoxycholic acid
Broxiquinoline
Gabapentin
Cyanoacetohydrazide
Simvastatin
Ganciclovir
d‐Phenylalanine
Quinine
Allopurinol
Niflumic acid
Pranlukast
Ketoconazole
Lamotrigine
Rifampicin
Mevastatin
Ribavirin
Orlistat
Hydroquinone
Hydroxyurea
Chloral hydrate
Tilmicosin
Phenothiazine
Coumarin
Aptal
Troxerutin
Casanthranol
Carbadox
Piroxicam
Omeprazole
Salicylanilide
Sulfisoxazole
Sulfameter
Orotic acid
dl‐Carnitine
Ethosuximide
Pyrithioxin
Pindolol
l‐Ornithine
Urea
Dimetridazole
Acetylcysteine
Gallic acid
Diosmin
Nicotinic acid
d‐Camphor
Behenic alcohol
Sulfamethoxazole
d(+)‐Glucose
Mefenamic acid
Tinidazole
Thiamine hydrochloride
Oxytetracycline (Terramycin)
Furaltadone hydrochloride
Chloroxylenol
Ofloxacin
Adrenosterone
Cepharanthine
Guaifenesin
Geniposide
l‐5‐Hydroxytryptophan
Doxycycline hyclate
Salicylic acid
Batyl alcohol
Magnolol
Gastrodin
Fig. 1
CBT can efficiently inhibit colorectal cancer cells. (A) Cell morphology of control and 0.03 and 0.24 μm CBT‐treated HCT116 cells at high magnification (Top: scale bar = 100 μm) and log magnification (Bottom: scale bar = 150 μm). (B) Relative cell viability measured by the MTT assay. Error bars indicate the SD. Student's t‐test was used for statistical analysis. Data are mean ± SD (n = 6). ***P < 0.001. (C) In vitro cytotoxicity of CBT at a different concentration to human colorectal cancer cells HCT116, LOVO, HCT8 and DLD1, as well as Du145 and PC3 prostate cancer cells. Data are the mean ± SD(n = 6). Red lines indicate the nonlinear fit sigmoidal curve. The cell viability rate was obtained by normalizing the MTT assay output of CBT‐treated cells with corresponding dimethylsulfoxide‐treated cells. (D) Colony morphology of control HCT116 cells and CBT (at the indicated concentration)‐treated HCT116 cells. (E) The number of colonies formed by HCT116 cells after treatment with control or CBT of the indicated concentration. Error bars indicate the SD. Student's t‐test was used for statistical analysis. Data are the mean ± SD (n = 3). ***P < 0.001. (F) Percentage of control or CBT‐treated HCT116 cell formed colony area in the total cell culture plate area. The area was measured using imagej. Error bars indicate the SD. Student's t‐test was used for statistical analysis. Data are the mean ± SD (n = 3). ***P < 0.001. (G) Microscopic images of the wound‐healing assay with control HCT116 cell culture and 0.03 μm CBT‐treated cell culture at the indicated time. Scale bar = 200 μm. (H) Quantification of wound gap in control HCT116 cell culture and 0.03 μm CBT‐treated cell culture at different time points compared to the wound gap at 0 h. Data are the mean ± SD (n = 3). **P < 0.01. (I) Representative immunofluorescence images of control and CBT‐treated cells blotted with antibody against tubulin. Nuclear DNA was counterstained with DAPI. Scale bar in the 20‐fold magnified image = 50 μm, whereas the scale bar in the 40‐fold magnified image = 20 μm.
FDA‐approved drugs for colorectal cancer screen.CBT can efficiently inhibit colorectal cancer cells. (A) Cell morphology of control and 0.03 and 0.24 μm CBT‐treated HCT116 cells at high magnification (Top: scale bar = 100 μm) and log magnification (Bottom: scale bar = 150 μm). (B) Relative cell viability measured by the MTT assay. Error bars indicate the SD. Student's t‐test was used for statistical analysis. Data are mean ± SD (n = 6). ***P < 0.001. (C) In vitro cytotoxicity of CBT at a different concentration to human colorectal cancer cells HCT116, LOVO, HCT8 and DLD1, as well as Du145 and PC3 prostate cancer cells. Data are the mean ± SD(n = 6). Red lines indicate the nonlinear fit sigmoidal curve. The cell viability rate was obtained by normalizing the MTT assay output of CBT‐treated cells with corresponding dimethylsulfoxide‐treated cells. (D) Colony morphology of control HCT116 cells and CBT (at the indicated concentration)‐treated HCT116 cells. (E) The number of colonies formed by HCT116 cells after treatment with control or CBT of the indicated concentration. Error bars indicate the SD. Student's t‐test was used for statistical analysis. Data are the mean ± SD (n = 3). ***P < 0.001. (F) Percentage of control or CBT‐treated HCT116 cell formed colony area in the total cell culture plate area. The area was measured using imagej. Error bars indicate the SD. Student's t‐test was used for statistical analysis. Data are the mean ± SD (n = 3). ***P < 0.001. (G) Microscopic images of the wound‐healing assay with control HCT116 cell culture and 0.03 μm CBT‐treated cell culture at the indicated time. Scale bar = 200 μm. (H) Quantification of wound gap in control HCT116 cell culture and 0.03 μm CBT‐treated cell culture at different time points compared to the wound gap at 0 h. Data are the mean ± SD (n = 3). **P < 0.01. (I) Representative immunofluorescence images of control and CBT‐treated cells blotted with antibody against tubulin. Nuclear DNA was counterstained with DAPI. Scale bar in the 20‐fold magnified image = 50 μm, whereas the scale bar in the 40‐fold magnified image = 20 μm.Next, we examined the effect on colony formation. The number of HCT116 colonies decreased gradually with an increase in CBT concentration (Fig. 1D–F). To investigate whether CBT can inhibit the migration of colorectal cancer cells, we then examined the effect of CBT on cell motility by the wound‐healing assay using HCT116 cells. An Ibidi culture insert was used to generate the wound gap and serum‐free culture medium was added to the cells after the insert was removed to reduce the effect of cell proliferation. Obviously, the Ibidi culture insert generated gap demonstrated much slower closing for CBT pretreated colorectal cancer cells than for control cells at 48 h after insert removal (Fig. 1G,H). Immunostaining of tubulin revealed that CBT‐treated HCT116 cells showed cytoskeleton disorder and morphological malformation with a reduced pseudopod, which is line with the reduced motility of CBT‐treated cells. (Fig. 1I). Taken together, CBT can efficiently inhibit the growth and migration of colorectal cancer cells.
CBT induces G2/M phase cell cycle arrest and apoptosis in colorectal cancer cells
To determine how CBT suppresses colorectal cancer cell proliferation, we a performed flow cytometry assay to examine the effect of CBT on the cell cycle distribution of colorectal cancer cells and prostate cancer cells. The CBT concentration at IC50 to the respective cell lines was adopted for the assay. As expected, CBT treatment led to G2/M cell cycle arrest in all tested cell lines (Fig. 2A). There were approximately 3‐fold more cells at G2/M phase in CBT‐treated cells than in the control cells (Fig. 2B). This observation is consistent with previous studies reporting that CBT causes G2/M cell cycle arrest in cancer cells [21, 22]
Fig. 2
CBT induced G2/M arrest and apoptosis in colorectal cancer cells. (A) Cell cycle distributions of control and CBT‐treated HCT116, LOVO, HCT8 and DLD1 human colorectal cancer cells, as well as DU145 and PC3 prostate cancer cells, by flow cytometry analysis. Blue represents G1 phase; red represents S phase and orange represents G2/M phase. (B) Percentage of cells at G1 phase, S phase and G2/M phase in (A). Data are the mean ± SD (n = 3). *P < 0.05, **P < 0.01, ***P < 0.001. (C) Representative graphs of cell apoptosis of control and CBT‐treated HCT116, LOVO, HCT8 and DLD1 human colorectal cancer cells, as well as DU145 and PC3 prostate cancer cells, examined by double staining with propidium iodide and annexin V‐fluorescein isothiocyanate and a flow cytometry assay. (D) Early and late apoptosis rate of (C). Student's t‐test was used for statistical analysis Data are the mean ± SD (n = 3). *P < 0.05, **P < 0.01, ***P < 0.001. (E) Representative image of western blotting (left) and densitometric analyses (right) of the expression of cleaved caspase‐3 expression in CBT‐treated and nontreated HCT116 cells. Actin was used as an internal control. Data are the mean ± SD (n = 2).
CBT induced G2/M arrest and apoptosis in colorectal cancer cells. (A) Cell cycle distributions of control and CBT‐treated HCT116, LOVO, HCT8 and DLD1 human colorectal cancer cells, as well as DU145 and PC3 prostate cancer cells, by flow cytometry analysis. Blue represents G1 phase; red represents S phase and orange represents G2/M phase. (B) Percentage of cells at G1 phase, S phase and G2/M phase in (A). Data are the mean ± SD (n = 3). *P < 0.05, **P < 0.01, ***P < 0.001. (C) Representative graphs of cell apoptosis of control and CBT‐treated HCT116, LOVO, HCT8 and DLD1 human colorectal cancer cells, as well as DU145 and PC3 prostate cancer cells, examined by double staining with propidium iodide and annexin V‐fluorescein isothiocyanate and a flow cytometry assay. (D) Early and late apoptosis rate of (C). Student's t‐test was used for statistical analysis Data are the mean ± SD (n = 3). *P < 0.05, **P < 0.01, ***P < 0.001. (E) Representative image of western blotting (left) and densitometric analyses (right) of the expression of cleaved caspase‐3 expression in CBT‐treated and nontreated HCT116 cells. Actin was used as an internal control. Data are the mean ± SD (n = 2).Because CBT induced G2/M phase arrest, we next investigated whether CBT treatment triggers apoptosis of colorectal cancer cells. Similarly, the CBT concentration at IC50 to the respective cell lines was adopted for the assay. Forty‐eight hours after CBT treatment, the control and CBT‐treated cells were stained with annexin V‐fluorescein isothiocyanate and propidium iodide to analyze the apoptosis rate of these cells via flow cytometry. Compared to the control cells, CBT treatment led to an approximately 2‐fold or more increase in cell apoptosis (Fig. 2C,D). Western blotting revealed that the apoptosis marker‐cleaved caspase‐3 was also greatly increased in CBT‐treated HCT116 cells (Fig. 2E).
Cabazitaxel inhibits tumor growth in colorectal cancer xenograft model
To evaluate the antitumor effect of cabazitaxel against colorectal cancer, we subcutaneously injected GFP‐labeled HCT116 cells into nude mice to derive a xenograft model of colorectal cancer. Based on the dose of Jevtana (cabazitaxel) used for the patient, the dose of CBT utilized for the mouse experiments was derived according to the body surface area [23, 24, 25]. Accordingly, 8 and 16 mg·kg−1 CBT were tested for the efficacy. Because 10–40 mg·kg−1 5‐FU was reported to be effective in inhibiting tumor growth [26, 27], we utilized 8 mg·kg−1 5‐FU as a negative drug control and 16 mg·kg−1 5‐FU as a positive drug control for the assay. Mice injected with PBS were also used as a negative control. All experimental mice had xenograft tumors at day 7 after subcutaneous injection of HCT116 cells. We then randomized the mice and treated them with CBT and 5‐FU, respectively. Using IVIS Spectrum to monitor tumor growth, we found that mice treated with 8 mg·kg−1 CBT, 16 mg·kg−1 CBT and 16 mg·kg−1 5‐FU showed relatively smaller xenograft tumors than those treated with 8 mg·kg−1 5‐FU and PBS (i.e. negative control groups) (Fig. 3A,B). After further analyses of the drug efficacy by normalizing the tumor with tumor at the injection starting point, we concluded that 8 and 16 mg·kg−1 CBT can inhibit HCT116 cell formed tumors in nude mice as efficiently as 16 mg·kg−1 5‐FU (Fig. 3C,D).
Fig. 3
Cabazitaxel inhibits tumor growth in a colorectal cancer xenograft model. (A) Representative AVIS images showing control, 8 and 16 mg·kg−1 CBT‐treated mice that bear HCT116 xenograft tumor at days 5 and 14 after the first injection. (B) Representative AVIS images showing control, 8 and 16 mg·kg−1 5‐FU treated mice that bear HCT116 xenograft tumor at days 5 and 14 after the first injection. (C) Representative pictures of tumors harvested from CBT, 5‐FU and control treated mice. (D) Relative tumor growth fold of CBT, 5‐FU and control treated mice. The relative tumor growth fold was obtained by normalizing the tumor volume at each time point with the tumor volume at the injection starting time. Data are the mean ± SD (n = 3).
Cabazitaxel inhibits tumor growth in a colorectal cancer xenograft model. (A) Representative AVIS images showing control, 8 and 16 mg·kg−1 CBT‐treated mice that bear HCT116 xenograft tumor at days 5 and 14 after the first injection. (B) Representative AVIS images showing control, 8 and 16 mg·kg−1 5‐FU treated mice that bear HCT116 xenograft tumor at days 5 and 14 after the first injection. (C) Representative pictures of tumors harvested from CBT, 5‐FU and control treated mice. (D) Relative tumor growth fold of CBT, 5‐FU and control treated mice. The relative tumor growth fold was obtained by normalizing the tumor volume at each time point with the tumor volume at the injection starting time. Data are the mean ± SD (n = 3).
Cabazitaxel treatment induces the abnormal expression of Tubb family gene expression in colorectal cancer cells
To further investigate why CBT can efficiently inhibit colorectal cancer, we performed RNA‐seq assays to determine the transcriptomic changes between the control and CBT‐treated HCT116 cells. Compared to the control, 421 genes were upregulated and 340 genes were downregulated in CBT‐treated HCT116 cells (Fig. 4A and Table 3).
Fig. 4
Cabazitaxel inhibits colorectal cancer cell growth via activating the P53 signaling pathway. (A) Scatter plot showing the upregulated genes (red points) and downregulated genes (blue points) in CBT‐treated HCT116 cells compared to control cells. The cut‐off for expression difference is 0.58. (B) GO enrichment analysis showing the enriched molecular of upregulated genes in CBT‐treated HCT 116 cells compared to control HCT116 cells. GO terms of upregulated and downregulated differentially expressed genes were assessed separately for enrichment using Fisher's exact test. (C) DAVID analysis of the enriched TUBB and TUBA family related genes. (D) Function chord plot of CBT induced upregulated TUBB family genes.
Table 3
Differential expressed genes in CBT‐treated HCT116 cells.
Gene name
CBT vs Control upregulated genes
CDC37L1‐AS1
GADD45B
CDC20
CEACAM1
ACTA2
MIR4435‐2HG
CCDC86
TCTA
RYBP
HIST2H2BE
HIST2H2BC
DUSP1
CSF2
RSRC2
EPC1
GEM
DEFB1
NSDHL
CXCL3
HIST1H2BE
RIPK4
TNNC1
HIST1H2BN
HSPB8
SBDS
PRMT5
ZNF821
HIST1H2BO
IFIT2
CKLF‐CMTM1
LOC105373383
TAF3
FAS
LATS2
HIST1H2AE
MIR31HG
HIST1H2AK
CYTOR
S100A3
NFKBIE
URB1‐AS1
SLC25A22
AKAP17A
RELB
PITX2
HIST2H2AA4
TUBB2A
LIN28A
HIST1H4J
MYL9
JOSD2
SFPQ
SCAF4
SLC25A25
HIST2H2AA3
TFAP2A‐AS2
RND3
HIST1H2AC
DNAJC2
LSMEM1
NR2F2
MUC2
KRTAP3‐1
GADD45G
LOC101928841
GPR87
LYAR
AURKAPS1
MYL2
NOV
CXCL1
GPR3
NR4A1
H19
IGFBP6
ATAD3B
CLTB
AKR1B10
ARRDC3
SNAI2
HES1
C6orf226
SESN1
NXF1
RBM38
DAGLB
SMIM11A
TP53I3
RPL21
DUSP14
LINC00431
IFNA22P
MRPL23
C1orf116
ZC3H12A
SCARNA28
LOC654342
PNP
PCNA‐AS1
PURPL
RPL23AP82
CMYA5
CTGF
CD14
VGF
PPM1D
RNR1
FAM53C
ZNF622
CLU
CXCL2
SNHG9
SERPINB2
TRMT6
SNRPA1
CHN1
TRIML2
PARTICL
SLMO2‐ATP5E
TUBA1A
ARL14
NFYC‐AS1
TYW1B
ATOX1
DKK4
WDR63
HIST1H2BJ
GADD45A
NGFR
GPRC5D
THUMPD3‐AS1
PER1
TIGAR
PDX1
U2AF1L5
NR4A3
ALPP
PTAFR
COTL1
HIST1H3H
LMO7
ELOA
ZNF296
TCTE3
HIST3H2A
MDM2
DDN
PMAIP1
DANCR
KTI12
HIST1H2BK
DDX39A
STAM‐AS1
HMOX1
FUBP1
PCF11
CRISPLD2
LTV1
HIST1H2BC
UPK3B
SERPINB5
SNHG15
LGALS7B
IER3
PSPC1
LINC02273
CYR61
FAM46B
GAL
PDLIM2
SNRNP25
TAF7L
RPS19BP1
SNF8
SCAANT1
HIST1H3D
FGFBP1
MIR22HG
ASH1L‐AS1
IFIT1
PAK1IP1
FLNC
KRTAP2‐3
EGR2
MED26
CCZ1P‐OR7E38P
LINC02004
CDKN3
OSR2
CCNB1
HIST1H1C
SERF2‐C15ORF63
LINC02486
MAFF
MT4
FBLL1
KBTBD8
PSMD2
CXCL8
SIK1
HIST1H2AI
AEN
CBWD5
PER2
LIMA1
IL32
WFDC2
RRAD
ZNF703
KLF11
FBXW7
NME1
LY6D
FAM133DP
BHLHE41
BTG2
TRIAP1
HIST1H4K
HBEGF
OSGIN1
LOC101928131
HIST1H1E
PLK2
TUBA4A
KLF10
ZNF674‐AS1
SLC16A14
SLC30A1
POLE3
IFNA1
SNAI1
SSSCA1‐AS1
IER2
ALYREF
PGF
KIF20A
CAPN10‐AS1
SNHG19
SNORA94
THBS1
CD83
FOSB
PHLDA3
DGUOK‐AS1
VIM
GALR2
FAM25A
RASL11A
GAS6‐AS2
MSX2
TUBB3
LSM3
CDC25A
ZBTB2
SERPINE1
SCARNA9L
ODC1
YTHDF3‐AS1
TNKS2‐AS1
HIST2H3D
SDC1
HOXC5
DHRS2
GALNT5
DLX2
ALPPL2
ARRDC4
SERPINI1
APOD
TUBA1B
RGS16
TUBB2B
CCL20
CYP1A1
LOC100506082
ABHD11‐AS1
LINC01004
CXCR4
FOS
S100A7
KLK5
MYH16
UBE2S
FOSL1
CAVIN1
LINC01481
SNORA58
JUN
EID3
TAGLN3
HMGCS1
CITED1
LAMA3
ATP6V0C
CPA4
SFN
BHLHE40
AMOTL2
EPHA2
PIGW
FTH1P3
SPP1
ATF3
LOC100506358
PRDM1
FAM83C‐AS1
ANKRD33B
S100A2
RPL17‐C18orf32
RPS14P3
NR1D1
LOC644656
SNHG1
NME1‐NME2
FGF8
ZBTB49
WNT9A
CRSP8P
TNFAIP3
PDE6G
NUAK2
LGALS7
HIST1H2BM
LOC105370941
MTA2
ING1
GAST
EGR1
MOBP
KRT15
LOC100270804
LOC102724428
NCBP2‐AS2
TUBA1C
HBA1
HIST1H4E
VHLL
EIF3C
TUBB4A
LOC105369340
PINX1
SRPX2
NFKBIA
EGR3
LOC101927765
PDRG1
ALOXE3
EFNB1
NAP1L5
IDI1
HIST1H2BD
ADM
SRRT
APOE
TSPYL2
CSF1
H2AFJ
TM4SF19
AQP3
NOCT
ARC
PLK1
MGARP
FABP5
ZNF654
HES2
HIST2H2BF
TUBB6
HIST1H2AM
S100A10
EHD1
SUSD2
CDKN2D
IDH1‐AS1
HIST3H2BB
ACTA1
MAP2K3
RBBP6
PTTG1
LOC100507412
FOXD4L3
TGS1
CCL26
S100A5
ZNF79
SNHG20
LOC100272217
CEBPD
HIST1H2AH
PSMA7
RFPL3S
KHDC1L
CA2
SRSF2
HIST1H2AD
POP1
COX7B
TFRC
LINC00115
BIRC3
TRIM29
TNFRSF10C
BBC3
TSGA10
BUD31
C19orf73
CDKN1A
MAGEA2B
HBA2
LINC01186
CLP1
AURKA
SCML1
DKK1
JUNB
ACHE
CSRNP1
DCAF4L1
C16orf91
TRMT61A
LOC730202
Cabazitaxel inhibits colorectal cancer cell growth via activating the P53 signaling pathway. (A) Scatter plot showing the upregulated genes (red points) and downregulated genes (blue points) in CBT‐treated HCT116 cells compared to control cells. The cut‐off for expression difference is 0.58. (B) GO enrichment analysis showing the enriched molecular of upregulated genes in CBT‐treated HCT 116 cells compared to control HCT116 cells. GO terms of upregulated and downregulated differentially expressed genes were assessed separately for enrichment using Fisher's exact test. (C) DAVID analysis of the enriched TUBB and TUBA family related genes. (D) Function chord plot of CBT induced upregulated TUBB family genes.Differential expressed genes in CBT‐treated HCT116 cells.Gene Ontology (GO) analysis on molecular function term enrichment revealed that CBT treatment led to the upregulation of genes involved in a variety of binding events, such as protein binding, protein dimerization, DNA binding and organic cyclic compound binding, etc. (Fig. 4B). The abnormal binding events indicate the disruption of normal dynamics of the microtube lattice inside the cells. Indeed, GO analysis revealed that multiple TUBB and TUBA family genes were upregulated in CBT‐treated HCT116 cells (Fig. 4C). This might be a result of the inhibition of the disassembly of the microtube by CBT forcing the cells to complementarily express microtube assembly‐related genes. A function chord diagram further revealed that Tubb3, Tubb6, Tubb2a, Tubb4a and Tubb2b are linked to the microtubule‐based process, the response to an external stimulus, and the mitotic cell cycle process (Fig. 4D), suggesting a disruptive role of CBT on these processes.
Cabazitaxel inhibits colorectal cancer cell growth via activating the p53 signaling pathway
In addition to a number of Tubb family genes being upregulated in CBT‐treated cells, KEGG pathway analysis revealed that CBT treatment‐induced genes were enriched in the well‐known antitumor p53 signaling pathway (Fig. 5A). Meanwhile, CBT treatment indicated that downregulated genes were related to multiple metabolism processes, such as carbon metabolism and glycine, serine and threonine metabolism, as well as glycolysis (Fig. 5B). Furthermore, GSEA revealed a positive correlation between p53 pathway genes and CBT upregulated genes in HCT116 cells, indicating that CBT indeed enhances the expression of p53 pathway genes (Fig. 5C). Rending the genes to the p53 pathway clearly showed that multiple cell cycle arrest‐related genes, such as p21, 14‐3‐3‐δ and Gaff45, were increased in CBT‐treated cells (Fig. 5D). p53 downstream genes Fas, Noxa, PUMA and PIGs, which induce apoptosis, and PAI, TSP1 and Maspin, which inhibit angiogenesis and metastasis, were also upregulated in CBT‐treated cells (Fig. 5D). Furthermore real‐time PCR assays also confirmed that the mRNA levels of p53 downstream genes such as Tp53i3, Gadd5a, Pmaip1, Cdkn1a and Fas were significantly higher in CBT‐treated HCT 116 cells than in control cells (Fig. 5E). In addition, the expression of p53 major downstream protein p21(Waf1/CiP1) that links DNA damage to cell cycle arrest was enhanced in CBT‐treated HCT116 cells compared to the control cells (Fig. 5F). Meanwhile, CBT treatment led to obvious DNA damage, as manifested by the expression of p‐H2A.X, p‐Chk1 and p‐Chk2 (Fig. 5G).
Fig. 5
Cabazitaxel induces upregulation of the p53 pathway. (A) KEGG pathway analysis of the upregulated gene enriched biological pathways of CBT‐treated HCT 116 cells compared to control HCT116 cells. (B) KEGG pathway analysis of the downregulated gene enriched biological pathways of CBT‐treated HCT 116 cells compared to control HCT116 cells. (C) GSEA diagram showing the positive correlation of p53 pathway genes and upregulated genes in CBT‐treated cells compared to control HCT 116 cells. (D) Pathview rendered p53 downstream pathway with integration of RNA‐seq data of control and CBT‐treated HCT 116 cells. Red indicates the upregulated genes after CBT treatment. (E) Real‐time PCR results showing the relative mRNA levels of Tp53i3, Gadd5a, Pmaip1, Cdkn1 and Fas in control and CBT‐treated HCT116 cells. Three biological experiments were performed for each assay. Student's t‐test was used for statistical analysis. ***P < 0.001. (F) Western blotting and densitometric analysis of p21 protein expression in control and CBT‐treated HCT116 cells. β‐actin was used as an internal control in the experiment. The data are shown as the mean ± SD (n = 3), Student's t‐test was used for statistical analysis. (G) Representative western blot image showing the expression of p‐H2A.X, p‐Chk1 and p‐Chk2 in control and CBT‐treated HCT116 cells. β‐actin was used as an internal control in the experiment. (H) Representative western blot image showing the expression of p53 in TP53KO1, TP53KO2 and control HCT116 cells. β‐actin was used as an internal control in the experiment. (I) In vitro cytotoxicity of TP53 KO cells and control HCT116 cells. The data are the mean ± SD (n = 6). The cell viability rate was obtained by normalizing the MTT assay output of CBT‐treated cells with the control dimethylsulfoxide treated cells.
Cabazitaxel induces upregulation of the p53 pathway. (A) KEGG pathway analysis of the upregulated gene enriched biological pathways of CBT‐treated HCT 116 cells compared to control HCT116 cells. (B) KEGG pathway analysis of the downregulated gene enriched biological pathways of CBT‐treated HCT 116 cells compared to control HCT116 cells. (C) GSEA diagram showing the positive correlation of p53 pathway genes and upregulated genes in CBT‐treated cells compared to control HCT 116 cells. (D) Pathview rendered p53 downstream pathway with integration of RNA‐seq data of control and CBT‐treated HCT 116 cells. Red indicates the upregulated genes after CBT treatment. (E) Real‐time PCR results showing the relative mRNA levels of Tp53i3, Gadd5a, Pmaip1, Cdkn1 and Fas in control and CBT‐treated HCT116 cells. Three biological experiments were performed for each assay. Student's t‐test was used for statistical analysis. ***P < 0.001. (F) Western blotting and densitometric analysis of p21 protein expression in control and CBT‐treated HCT116 cells. β‐actin was used as an internal control in the experiment. The data are shown as the mean ± SD (n = 3), Student's t‐test was used for statistical analysis. (G) Representative western blot image showing the expression of p‐H2A.X, p‐Chk1 and p‐Chk2 in control and CBT‐treated HCT116 cells. β‐actin was used as an internal control in the experiment. (H) Representative western blot image showing the expression of p53 in TP53KO1, TP53KO2 and control HCT116 cells. β‐actin was used as an internal control in the experiment. (I) In vitro cytotoxicity of TP53 KO cells and control HCT116 cells. The data are the mean ± SD (n = 6). The cell viability rate was obtained by normalizing the MTT assay output of CBT‐treated cells with the control dimethylsulfoxide treated cells.To examine whether activation of p53 pathway plays a key role for CBT efficacy, we used the CRISPR/Cas9 system to knock out TP53, a p53 encoding gene, in HCT116 cells by two different gRNAs and generated TP53 KO1 cells and TP53 KO2 cells. Western blotting revealed that p53 was completely depleted in the TP53 KO cells (Fig. 5H). The MTT assay revealed that the IC50 values of CBT to TP53 KO1 cells and TP53 KO2 cells were 0.175 and 0.096 μm, respectively, which were approximately at least 3‐fold higher than the IC50 of CBT in HCT116 cells. The enhanced resistance to CBT of TP53 KO cells indicates that the inhibitory effect of CBT to HCT116 cells relies on the TP53 pathway (Fig. 5I). All of these results substantiate our conclusion that CBT inhibits HCT116 cells mainly by activating the p53 pathway.
Discussion
As a result of the resistance of colorectal cancer to current drug therapies, there is an urgent need to develop new antitumor drugs. In the present study, we found that FDA‐approved drug CBT exhibits potent antitumor efficacy to colorectal cancer. CBT is a microtubule inhibitor [28] that has been reported to bypass some cancer resistance mechanism toward chemotherapeutic agents and shows good efficacy to metastatic prostate cancer, breast cancer and ovarian cancer [4, 29, 30]. In the present study, we demonstrated that CBT also has potent antitumor function with respect to colorectal cancer.Tubulins are the primary targets of CBT. Tubulin is the basic block of microtubes that contributes to the cytoskeleton and cell mobile elements. Hence, polymerization and depolymerization of tubulin are essential in mitosis, intracellular transport and cell movement, etc. CBT binds to tubulin and promotes microtube assembly and inhibits its disassembly. Hence, CBT seriously interferes with the recycling of tubulin and the normal dynamics of microtube networks in cells that are required for biological processes. We observed significant upregulation of Tub family gene expression, which manifests as the compensative expression of these genes by cells in response to the microtube assembly‐related units after CBT treatment. Consistent with this, we observed a series of microtube inhibition‐related cell biology abnormalities, such as cell cycle arrest, cell proliferation, and migration inhibition and apoptosis. In the end, we found that CBT efficiently inhibits the growth of HCT116 xenograft tumor. Unlike inhibition of androgen receptor and heat shock proteins in prostate cancer cells or targeting the phosphoinositide 3‐kinase/Akt/mechanistic target of rapamycin pathway in lung adenocarcinoma cells [5], CBT enhances the antitumor pathway‐p53 signaling pathway in colorectal cancer cells. p53 and its downstream genes are well characterized with resect to inducing apoptosis and senescence of cancer cells and inhibiting tumor growth and angiogenesis in cancers [31]. The p53 signaling pathway is frequently dysregulated in colorectal cancer. Approximately 40–50% of sporadic colorectal cancer harbor a p53 mutation [32]. Reactivation or restoration of the p53 pathway downstream effectors can efficiently improve the prognosis of colorectal cancer. In line with the apoptotic phenotype triggered by CBT, we found that CBT treatment leads to activation of multiple p53 downstream target genes, such as apoptosis activating genes including Gadd45a [33], Tp53Ii3 [34] and Pmaip1 [35]. The marker for DNA damage, p‐HA2.X was also elevated in CBT‐treated HCT116 cells. p‐H2A.X not only recruits proteins involved in DNA repair, but also correlates with apoptosis. As a consequence of apoptosis, DNAs are fragmented and trigger the phosphorylation of H2A.X. Hence, p‐H2A.X levels can be used to monitor the anticancer therapy effect as well. An increase in p‐H2A.X in CBT‐treated HCT116 cells demonstrates the efficacy of CBT with respect to anti‐colorectal cancer at the molecular level. DNA damage generally activates p53 and its major downstream target p21 and leads to cell cycle arrest. An increase in p21 in CBT‐treated HCT116 cells confirms the activation of the p53‐p21 pathway. To support our conclusion, we also generated TP53−/− HCT116 cells. Compared to HCT116 cells, TP53−/− HCT116 cells are more resistant to CBT treatment, suggesting that CBT inhibitory effect to HCT116 cells relies on the P53 signaling pathway. Furthemore, p53 mutated HCT8 cells and DLD1 cells are more resistant to CBT treatment than HCT116 cells and LoVo cells also demonstrate the need for p53 signaling so that CBT can exert its function in colorectal cancer cells. We also noted that multiple metabolism processes of HCT116 were also disturbed by CBT. A well known characterisitic of cancer cells is that they adopt special metabolic features. The disturbance of these features would affect cancer cell survival, proliferation and migration. Detailed mechanistic studies of the effect of CBT on the metabolism of colorectal cancer are needed in the future.In the present study, we have shown that CBT can efficiently inhibit colorectal cancer proliferation and migration. It suppresses colorectal cancer via enhancing the expression of multiple p53 downstream effector genes and promoting cell cycle arrest, apoptosis and inhibition of angiogenesis. Hence, CBT may serve as an alternative option for colorectal cancer treatment in the future.
Conflict of interest
The authors declare no conflict of interest.
Author contributions
PY and JP designed the study. WZ and RS performed the key experiments. RH, QL, WW and XC carried out the supportive experiments. YZ and JZ performed the bioinformatics analysis. WZ and PY analyzed the data and wrote the manuscript. All authors read and approved the final version of the manuscript submitted for publication.
Authors: G M Howell; L E Humphrey; R A Awwad; D Wang; A Koterba; B Periyasamy; J Yang; W Li; J K Willson; B L Ziober; K Coleman; J Carboni; M Lynch; M G Brattain Journal: J Biol Chem Date: 1998-04-10 Impact factor: 5.157
Authors: Rana A Awwad; Natalia Sergina; Haisu Yang; Barry Ziober; James K V Willson; Elizabeth Zborowska; Lisa E Humphrey; Robert Fan; Tien C Ko; Michael G Brattain; Gillian M Howell Journal: Cancer Res Date: 2003-08-01 Impact factor: 12.701