Skip to main content
Cancer Genomics & Proteomics logoLink to Cancer Genomics & Proteomics
. 2021 Sep 3;18(5):661–673. doi: 10.21873/cgp.20288

The Mechanisms of the Growth Inhibitory Effects of Paclitaxel on Gefitinib-resistant Non-small Cell Lung Cancer Cells

MD MOHIUDDIN 1, KAZUO KASAHARA 1
PMCID: PMC8441760  PMID: 34479918

Abstract

Background/Aim: Coronavirus disease 2019 (COVID-19) poses a great challenge for the treatment of cancer patients. It presents as a severe respiratory infection in aged individuals, including some lung cancer patients. COVID-19 may be linked to the progression of aggressive lung cancer. In addition, the side effects of chemotherapy, such as chemotherapy resistance and the acceleration of cellular senescence, can worsen COVID-19. Given this situation, we investigated the role of paclitaxel (a chemotherapy drug) in the cell proliferation, apoptosis, and cellular senescence of gefitinib-resistant non-small-cell lung cancer (NSCLC) cells (PC9-MET) to clarify the underlying mechanisms. Materials and Methods: PC9-MET cells were treated with paclitaxel for 72 h and then evaluated by a cell viability assay, DAPI staining, Giemsa staining, apoptosis assay, a reactive oxygen species (ROS) assay, SA-β-Gal staining, a terminal deoxynucleotidyl transferase dUTP nick-end labeling assay and Western blotting. Results: Paclitaxel significantly reduced the viability of PC9-MET cells and induced morphological signs of apoptosis. The apoptotic effects of paclitaxel were observed by increased levels of cleaved caspase-3 (Asp 175), cleaved caspase-9 (Asp 330) and cleaved PARP (Asp 214). In addition, paclitaxel increased ROS production, leading to DNA damage. Inhibition of ROS production by N-acetylcysteine attenuates paclitaxel-induced DNA damage. Importantly, paclitaxel eliminated cellular senescence, as observed by SA-β-Gal staining. Cellular senescence elimination was associated with p53/p21 and p16/pRb signaling inactivation. Conclusion: Paclitaxel may be a promising anticancer drug and offer a new therapeutic strategy for managing gefitinib-resistant NSCLC during the COVID-19 pandemic.

Keywords: Paclitaxel, ROS, cellular senescence, COVID-19, apoptosis, PC9-MET


Recent studies have reported that cancer patients have a higher mortality rate than usual due to the 2019 coronavirus disease (COVID-19), especially those patients with lung cancer (1-3). Consequently, COVID-19 has altered lung cancer treatment provision, but the type and extent of these variations are still unknown. Chemotherapy side effects, such as resistance to chemotherapy (e.g. resistance to gefitinib) and cellular senescence, may also make treatment more challenging, demanding promising drug therapy during the COVID-19 pandemic.

In the United States, lung cancer accounts for nearly a quarter of all cancer deaths (4). Non-small-cell lung cancer (NSCLC) is the most common subtype and accounts for 85% of lung cancer cases. Most NSCLC patients are diagnosed in the advanced stage, so surgery is no longer possible, despite significant advances in the early detection and prevention of lung cancer (5-8). Paclitaxel, the most widely used anticancer drug, is used to treat various cancers (9-12). However, the mechanisms underlying its anticancer activities on PC9-MET cells have not been fully clarified. Targeted cancer therapies may be more effective than traditional chemotherapy, as standard chemotherapy interferes with all dividing cells.

Reactive oxygen species (ROS) production is increased by the effects of chemotherapy or radiotherapy on the downstream signaling cascade that regulates the cell survival or death (13-15). ROS production may therefore be targeted to prevent cancer or enhance the treatment response (15,16). ROS production is recognized as hallmark of DNA damage (17). Chemotherapy drugs enhance the ROS production, thereby increasing genotoxicity (18). The primary source of endogenous DNA damage and double-strand break (DSB) production in cancer is oncogene-induced replication stress (19). ATM/ATR kinases and a network of sensory proteins play an essential role in the DNA damage response (20). H2AX phosphorylation at Ser 139 (γH2AX) is an early cellular response to the induction of DNA DSBs (21) and represents the most well-established chromatin modification related to DNA repair and damage response (22).

Depending on the type and extent of damage, DNA damage can trigger apoptotic cell death (23). Caspases, a family of protease enzymes, play an essential role in achieving apoptosis. There are two main signaling pathways that activate the caspase cascade: intrinsic (mitochondrial pathway) and extrinsic (death receptor pathway) (24). Following DNA damage, these pathways activate caspase-3, which plays a central role in apoptotic signaling, while caspase-9 and caspase-8 are the initiators of the intrinsic and extrinsic pathways, respectively (25).

Cancer cells can undergo senescence in response to chemotherapeutic agents (9). Due to the shortening of telomeres at the ends of chromosomes, this replicable senescence can occur in cancer cells (26). Therapy-induced cellular senescence may have a short-term benefit against the tumor, but it can also activate invasion-related genes and exacerbate tumor progression (27).

Many researchers are now focusing on suitable chemotherapy drugs for repurposing to treat COVID-19 (28,29). Additionally, preliminary findings suggest that chemoresistance and cellular senescence are associated with COVID-19 complications (30-32). In the current study, we hypothesized that paclitaxel might exert growth inhibitory and cellular senescence-suppressing effects on gefitinib-resistant NSCLC cells, which might be a novel treatment that can reduce COVID-19 severity. To evaluate our hypothesis, this study investigated the molecular mechanisms by which paclitaxel inhibits the proliferation of PC9-MET cells and the mechanisms underlying the senescence system.

Materials and Methods

Cell line and cell culture. We established the gefitinib-resistant the PC9-MET subline as previously described (33). PC9-MET cells were cultured in RPMI 1640 medium (Invitrogen, Grand Island, NY, USA) containing 10% fetal bovine serum (FBS; Invitrogen) and maintained at 37˚C in a humidified atmosphere containing 5% CO2.

Drug preparation. Paclitaxel [C47H51NO14] was obtained from FUJIFILM Wako Pure Chemical Corporation (Osaka, Japan). This drug was dissolved in 0.1% dimethyl sulfoxide (DMSO) for in vitro experiments.

Cell proliferation assay. The cytotoxicity of different paclitaxel concentrations in PC9-MET cells was assessed using a water-soluble tetrazolium salt (WST-1) assay (Cell Proliferation Reagent WST-1; Roche, Tokyo, Japan). Into each well of a 96-well microtiter plate, 100 μl of a growing cell suspension (4×103 cells/well) was seeded, and 100 μl of paclitaxel solution at concentrations of 50 and 100 nM (or 0.1% DMSO as a control) was added to each well (33). After incubation for 72 h at 37˚C in 5% CO2 atmosphere, 10 μl of WST-1 solution was added to each well, and the plates were incubated at 37˚C for an additional 4 h (33). The absorbance was measured at 450 nm with a microplate enzyme-linked immunosorbent assay reader (Multiskan FC; Thermo Scientific, Tokyo, Japan).

Giemsa and DAPI staining. PC9-MET cells were treated in 12-well plates with paclitaxel (50 and 100 nM) or with 0.1% DMSO as a control for 72 h. DAPI (Invitrogen) was used to stain cells fixed in 4% paraformaldehyde in phosphate-buffered solution (FUJIFILM Wako Pure Chemical Corporation, Tokyo, Japan) and permeabilized with 0.1% Triton X-100 (Sigma-Aldrich, Tokyo, Japan). The cell nuclei morphology was observed using a BZ-X710 All-in-One Fluorescence Microscope (Keyence, Osaka, Japan). Giemsa staining (Merck KGaA, Darmstadt, Germany) was performed with methanol-fixed cells, and morphological changes were evaluated under a light microscope.

Intracellular ROS assay. We used the Cellular Reactive Oxygen Species Detection Assay Kit (Deep Red Fluorescence, ab186029; Abcam, Tokyo, Japan) to determine the intracellular ROS level. In brief, after treatment with paclitaxel (50 and 100 nM) or with 0.1% DMSO as a control for 72 h, cells were harvested and incubated with ROS Deep Red Dye Working Solution at 37˚C for 60 min. Subsequently, cells were subjected to a flow cytometry analysis. Fluorescent intensities were measured with a FACSCanto II (BD Biosciences) flow cytometer using APC channel.

A terminal deoxynucleotidyl transferase dUTP nick-end labeling (TUNEL) assay. For 72 h, PC9-MET cells were treated with different concentrations of paclitaxel (50 and 100 nM) or with 0.1% DMSO as a control. We used the in situ Direct DNA Fragmentation (TUNEL) Assay Kit (ab66108; Abcam) to measure DNA fragmentation in apoptotic cells. In brief, cells were fixed with 1% paraformaldehyde in phosphate-buffered saline (PBS) and placed on ice for 15 min. Subsequently, the samples were treated with a staining solution and incubated at 37˚C for 60 min. After rinse buffer addition, cells were resuspended in propidium iodide/RNase A solution and incubated at room temperature for 30 min for a flow cytometry analysis.

Apoptosis assay. PC9-MET cells were treated with different concentrations of paclitaxel (50 and 100 nM) or with DMSO as a control for 72 h. Apoptotic cell death was quantified by flow cytometry using the FITC Annexin V Apoptosis Detection Kit with propidium iodide (BioLegend, San Diego, CA, USA).

Western blotting. For 72 h, PC9-MET cells were treated with paclitaxel (50 and 100 nM) or with 0.1% DMSO as a control. Whole protein lysates were isolated using the M-PER mammalian protein extraction reagent (Thermo Scientific), which included a phosphatase inhibitor cocktail and a protease inhibitor cocktail (Sigma-Aldrich). Protein concentrations were assessed using the BCA protein assay reagent (Thermo Scientific). Total cellular protein (40 μg) was separated by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) and transferred to polyvinylidene fluoride membranes (Bio-Rad Laboratories, Hercules, CA, USA). Milk-blocked blots were incubated at 4˚C overnight with primary antibodies against the following proteins: cleaved caspase-3 (Asp 175), cleaved caspase-9 (Asp 330), cleaved PARP (Asp 214), p53, p21, p16, pRb and γH2AX (ser 139) and then with the appropriate horseradish peroxidase-conjugated secondary antibodies. All antibodies were obtained from Cell Signaling Technology, Beverly, MA, USA, except for anti- γH2AX that was obtained from Abcam. Proteins of interest were revealed using SuperSignal West Pico PLUS Chemiluminescent Substrate (Thermo Fisher Scientific, Rockford, IL, USA) and viewed using the Invitrogen iBright FL1000 Imaging System (Thermo Fisher Scientific). Bands were quantified with the densitometric program of iBright Imaging System and normalized against β-actin.

Senescence-associated β-galactosidase staining. For 72 h, PC9-MET cells (1×106) were cultured in 25-cm2 flasks (Falcon) and treated with paclitaxel (50 and 100 nM) or with 0.1% DMSO as a control. To detect senescent cells, the Senescence-β-gal Staining Kit (Cell Signaling Technology, Beverly, MA, USA) was used according to the manufacturer’s instructions. The cells were washed twice with PBS and incubated in 1 ml of fixative solution at room temperature for 15 min. After removing the fixative solution and washing the fixed cells twice, the cells were stained with 1 ml of β-galactosidase staining working solution and incubated at 37˚C for 12 h under light protection. After staining, the cells were washed, and the senescent cells were identified using a light microscope (Olympus, Tokyo, Japan).

Statistical analysis. All data are expressed as the means±standard deviation (SD) of three independent experiments and analyzed by a one-way analysis of variance with Dunnett’s multiple comparison test or with Sidak’s multiple comparison test. Differences between the groups with p<0.05 were considered statistically significant. All graphs were created using the GraphPad PRISM 7.0 software program (GraphPad Software Inc., San Diego, CA, USA).

Results

Paclitaxel inhibits the growth of PC9-MET cells. Previous studies suggested that paclitaxel might inhibit the proliferation of cancer cells by inducing apoptosis (34,35). Therefore, it was crucial to determine whether or not paclitaxel affected the growth of PC9-MET cells. As shown in Figure 1A, paclitaxel inhibited the growth of PC9-MET cells in a concentration-dependent manner. Conversely, paclitaxel-treated cells were stained with Giemsa and DAPI to investigate morphological changes. As indicated in Figure 1B and C, treatment of PC9-MET cells with paclitaxel produced apoptotic features, such as nuclear fragmentation.

Figure 1. Effect of paclitaxel on the viability and morphology of PC9-MET cells. (A) After 72 h of treatment with different concentrations of paclitaxel (50 and 100 nM), the cell viability was analyzed by the WST-1 cell proliferation assay. From three independent experiments, data were acquired and presented as the mean±SD. A one-way ANOVA with Dunnett’s multiple comparison test determined the significance: *p<0.05 compared with the DMSO-treated group. (B) DAPI and (C) Giemsa staining of PC9-MET cells treated with different paclitaxel concentrations for 72 h.

Figure 1

Paclitaxel treatment causes ROS-mediated DNA damage. Many chemotherapy drugs induce apoptosis through ROS-mediated cell damage (36,37). Compared to the DMSO-treated cells, paclitaxel increased the ROS level in a concentration-dependent manner (Figure 2A). To prove that the cell death caused by paclitaxel was due to DNA fragmentation, we conducted a TUNEL assay. As presented in Figure 3A, after 72 h of paclitaxel treatment, the proportion of fragmented cells increased from 1.24% to 74.4%.

Figure 2. Effects of paclitaxel on ROS production. (A) After treatment with different concentrations of paclitaxel (50 and 100 nM) for 72 h in the presence or absence of NAC, cells were stained with ROS deep-red dye. The signal was expressed in terms of the median fluorescence intensity (MFI) and shown as histogram data. (B) The bar diagram shows the quantification of the mitochondrial ROS production. The data (mean±SD) are representative of three technical replicates. Comparisons were made between the control group and experimental group using a one-way ANOVA followed by Sidak’s multiple comparison test. ***p<0.001.

Figure 2

Figure 3. The impact of paclitaxel on DNA fragmentation. (A) PC9-MET cells were stained with fluorescein isothiocyanate-dUTP dye after incubation with paclitaxel at different concentrations for 72 h. (B) The bar diagram shows the quantification of DNA fragmentation. Results are the mean±SD of three independent experiments. Comparisons were made between the control group and experimental group using a one-way ANOVA followed by Sidak’s multiple comparison test. **p<0.01 and ***p<0.001.

Figure 3

Although our data revealed that paclitaxel-induced DNA damage was associated with increased ROS production in PC9-MET cells, it remains unclear whether or not paclitaxel inhibits ROS-mediated damage to DNA using NAC (ROS scavenger). To this end, we pre-incubated PC9-MET cells with NAC before paclitaxel treatment. As indicated in Figure 2B and Figure 3B, our data showed that NAC pretreatment significantly inhibited ROS production and DNA damage. Taken together, these results strongly support the hypothesis that paclitaxel induces ROS-mediated DNA damage in PC9-MET cells.

DNA damage caused by paclitaxel leads to γH2AX formation. Previous studies have suggested that many chemotherapy agents can kill cancer cells by inducing DNA damage (38,39). Phosphorylated H2AX (γH2AX) is a strong marker of DNA DSBs due to its early appearance and essential role in the DSB response (40). As shown in Figure 4, paclitaxel markedly increased the expression of γH2AX protein compared to DMSO-treated group. These outcomes show for the first time that the anticancer effect of paclitaxel is, at least in part, due to paclitaxel-induced DNA damage in PC9-MET cells.

Figure 4. Generation of γH2AX after treatment with paclitaxel. The generation of γH2AX after 72 h treatment with paclitaxel was analyzed by Western blotting. β-actin was used as a standard for the equal loading of protein for SDS-PAGE. The data (mean±SD) are representative of three independent experiments. A one-way ANOVA followed by Dunnett’s multiple comparison test determined the significance. NS, Not significant.

Figure 4

Paclitaxel induces apoptosis in PC9-MET cells. To quantify the percentage of cells undergoing apoptosis, we conducted Annexin V-FITC and PI fluorescence staining. As presented in Figure 5A, after 72 h of exposure to paclitaxel, the proportion of necrotic cells was significantly increased, while that of viable cells was significantly decreased compared to the DMSO-treated control group. The flow cytometry results showed that paclitaxel treatment increased the percentage of necrotic cells in a dose-dependent manner (Figure 5B).

Figure 5. Paclitaxel induced apoptosis in PC9-MET cells. (A) Flow cytometry of apoptosis in PC9-MET cells by Annexin V/PI dual staining. Quadrant 1 shows necrotic cells; Quadrant 2 shows late-apoptotic cells; Quadrant 3 shows early-apoptotic cells; Quadrant 4 shows viable cells. (B) A bar diagram illustrates the percentage of apoptotic cells. The values were calculated as the mean±SD from three independent experiments. Significance was determined by a one-way ANOVA followed by Dunnett’s multiple comparison test: **p<0.01 and ***p<0.001 compared with the DMSO-treated group.

Figure 5

Previous studies have reported that caspases can serve as the primary mediators of apoptosis (25,41). To further validate our annexin data, we checked the expression of cleaved caspase-3 (Asp 175), cleaved caspase-9 (Asp 330) and cleaved PARP (Asp 214). Western blot analysis showed an increase in the expression of cleaved caspase-3 (Asp 175), cleaved caspase-9 (Asp 330), and cleaved PARP (Asp 214) in a dose-dependent manner (Figure 6), suggesting that these proteins are involved in paclitaxel-induced apoptosis.

Figure 6. The effects of paclitaxel on the expression of caspase cascade proteins. PC9-MET cells were incubated for 72 h with paclitaxel, and the expression of cleaved caspase-3 (Asp 175), cleaved caspase-9 (Asp 330) and cleaved PARP (Asp 214) was assessed via immunoblotting. β-actin was used as a loading control. Results are the mean±SD of three independent experiments. A one-way ANOVA with Dunnett’s multiple comparison test determined the significance: *p<0.05, **p<0.01 and ***p<0.001 compared with the DMSO-treated group. NS, not significant.

Figure 6

Paclitaxel eliminated cellular senescence of PC9-MET cells. Cancer cells can undergo cellular senescence in response to clinically used chemotherapeutic agents (42,43). Recent studies have provided evidence that some drugs can selectively eradicate senescent cells (44,45). Therefore, it is essential to characterize senescent cells and recognize them correctly, especially when it comes to cancer. To this end, we investigated the senescence status of PC9-MET cells. To determine whether paclitaxel eliminated or induced cellular senescence in PC9-MET cells, we analyzed the effect of paclitaxel on the SA-β-Gal activity. The number of SA-β-Gal-positive cells was significantly decreased after paclitaxel treatment, compared to the control group (Figure 7A and B), suggesting that paclitaxel has an effect of eliminating cellular senescence in PC9-MET cells.

Figure 7. Elimination of cellular senescence in PC9-MET cells. (A) Representative bright-field microscopy images of SA-β-Gal staining in PC9-MET cells treated with DMSO or paclitaxel (50 nM and 100 nM) for 72 h. Cells show SA-β-Gal activity stained in blue. (B) The bar graph shows the percentage of senescent cells. The data (mean±SD) are representative of three independent experiments. Significance was determined by a oneway ANOVA followed by Dunnett’s multiple comparison test: ***p<0.001 compared with the DMSO-treated group. (C) The effects of paclitaxel on the expression of cellular senescence regulatory proteins. The expression of p53, p21, pRb and p16 was assessed via Western blotting. β-actin was used as a loading control. Results are the mean±SD of three independent experiments. A one-way ANOVA with Dunnett’s multiple comparison test determined the significance: *p<0.05, **p<0.01 and ***p<0.001 compared with the DMSO-treated group. NS, not significant.

Figure 7

Figure 7

Previous studies have suggested that the suppression of the p53/p21 and p16/pRb signaling pathways can inhibit cellular senescence (46-48). Herein, western blot analysis showed a decrease in the expression of p53, p21, hypo-phosphorylated pRb and p16 (Figure 7C), suggesting that these proteins may be involved in the elimination of cellular senescence of PC9-MET cells.

Discussion

This current study showed that paclitaxel inhibits PC9-MET cell proliferation, enhances ROS production, and triggers DNA damage. We found that caspase cascade activation by paclitaxel plays a vital role in apoptotic cell death. Paclitaxel eliminated cellular senescence, which was linked with the suppression of p53/p21 and p16/pRb signaling. To our knowledge, the anticancer effect of paclitaxel on PC9-MET cells has not been well documented, and this is the first study to investigate this point.

ROS are generated as natural by-products of normal cellular activity, playing a vital role in cell signaling (49). The elevated ROS production leads to apoptosis pathways mediated by death receptors, mitochondria, and endoplasmic reticulum (ER) (50). Furthermore, excessive ROS generation can damage lipids, cellular proteins and DNA (51). The present study demonstrated the paclitaxel-induced ROS-mediated DNA damage in PC9-MET cells (Figures 2 and 3). ATM and ATR kinases are activated in response to DNA damage, where ATM is principally triggered by DSBs, but ATR acts in response to a wide range of DNA damage (52). A previous study reported that γH2AX is an early indicator of DNA damage caused by replication stress (53), with other studies supporting this finding. One such study indicated that γH2AX is a sensitive indicator of DNA replication stress and DNA damage (54). Our present study demonstrated elevated levels of γH2AX during paclitaxel treatment in PC9-MET cells (Figure 4).

DNA fragmentation is a sign of apoptosis triggered by multiple apoptotic stimuli (55). After DNA damage, the release of cytochrome c from the mitochondria and the subsequent activation of procaspase-9 is crucial for activating subsequent apoptotic effectors (25). Thus, activated caspase-9 can cleave and directly activate other effector caspases, such as caspase-3 (25). Finally, activated caspase-3 enhances the proteolytic cleavage of PARP, which is a hallmark of apoptosis (56,57). The present study showed that paclitaxel-activated caspase-9 propagates apoptotic signaling by activating the downstream effector caspase-3 resulting in PARP cleavage (a hallmark of apoptosis) (Figures 5 and 6).

Cellular senescence is a phenomenon in which cells stop dividing and undergo many distinctive phenotypic alterations, including chromatin rearrangement, metabolic reprogramming, and activation of tumor suppressors (58). Many studies have reported that p53/p21 pathway activation is responsible for inducing cellular senescence (58-60). Furthermore, the activation of p16/pRb signaling is a vital indicator of senescence (58,61). This study demonstrated that paclitaxel suppressed the expression of p53, p21, hypo-phosphorylated pRb and p16, which might be linked to the elimination of cellular senescence of PC9-MET cells (Figure 7). We have proposed a model of the major mechanisms of induction of apoptosis through ROS-mediated DNA damage and the elimination of cellular senescence through the inactivation of the p53/p21 and p16/pRb signaling by paclitaxel in PC9 -MET cells (Figure 8).

Figure 8. Schematic illustration of the proposed mechanisms for paclitaxel-induced apoptosis and the elimination of cellular senescence in PC9-MET cells.

Figure 8

Lung cancer patients are at an increased risk of contracting COVID-19 and related diseases as well as dying (62). The COVID-19 pandemic has increased the difficulty of treating lung cancer (63). The most important risk factors for patient death with COVID-19 were pre-existing lung cancer, an elderly age, and resistance to chemotherapy (64-66). Several studies have claimed that cellular senescence is a potential mediator of COVID-19 severity in the elderly (67-69). Therefore, there is an urgent need to develop new therapies targeting cellular senescence and chemotherapy resistance during the COVID-19 pandemic. The current study showed that paclitaxel suppressed cellular senescence and induced apoptosis in gefitinib-resistant NSCLC cells, which may aid in the development of a new therapeutic approach, reducing the severity of COVID-19 in NSCLC cancer patients resistant to gefitinib treatment. These findings may also improve the protection of lung cancer patients, although more preclinical and clinical studies will be needed to confirm our results.

Conclusion

Our results revealed novel mechanisms of action of paclitaxel, indicating a potential anticancer effect in PC9-MET cells. Moreover, our findings highlight a promising direction for the development of a novel therapeutic strategy for gefitinib-resistant NSCLC during the COVID-19 pandemic. Further studies are needed to explore how COVID-19 interacts with lung cancer and characterize the possibility of adverse events in COVID-19 patients undergoing chemotherapy treatment.

Conflicts of Interest

The Authors declare no competing financial interests.

Authors’ Contributions

Md Mohiuddin and Kazuo Kasahara conceived this study; Md Mohiuddin carried out the experiments; Md Mohiuddin and Kazuo Kasahara discussed and interpreted the results; Md Mohiuddin wrote the manuscript; Kazuo Kasahara supervised the experiments and project.

Acknowledgements

We would like to thank Ms. Miki Kashiwano (Department of Respiratory Medicine, Graduate School of Medical Sciences, Kanazawa University) for her technical assistance. This work was supported by Grant-in-Aid for Scientific Research (C) (JSPS KAKENHI Grant Number 17K09606) to K.K. The funders had no role in the study design, data collection, or interpretation or decision to submit the work for publication.

References

  • 1.Elkrief A, Kazandjian S, Bouganim N. Changes in lung cancer treatment as a result of the coronavirus disease 2019 pandemic. JAMA Oncol. 2020;6(11):1805–1806. doi: 10.1001/jamaoncol.2020.4408. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Calles A, Aparicio MI, Alva M, Bringas M, Gutierrez N, Soto J, Arregui M, Tirado VC, Alvarez EL, Del Monte-Millan M, Massarrah T, Galera M, Alvarez R, Martin M. Outcomes of covid-19 in patients with lung cancer treated in a tertiary hospital in Madrid. Front Oncol. 2020;10:1777. doi: 10.3389/fonc.2020.01777. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Madan A, Siglin J, Khan A. Comprehensive review of implications of COVID-19 on clinical outcomes of cancer patients and management of solid tumors during the pandemic. Cancer Med. 2020;9(24):9205–9218. doi: 10.1002/cam4.3534. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Siegel RL, Miller KD, Jemal A. Cancer statistics, 2016. CA Cancer J Clin. 2016;66(1):7–30. doi: 10.3322/caac.21332. [DOI] [PubMed] [Google Scholar]
  • 5.Aberle DR, DeMello S, Berg CD, Black WC, Brewer B, Church TR, Clingan KL, Duan F, Fagerstrom RM, Gareen IF, Gatsonis CA, Gierada DS, Jain A, Jones GC, Mahon I, Marcus PM, Rathmell JM, Sicks J, National Lung Screening Trial Research Team Results of the two incidence screenings in the National Lung Screening Trial. N Engl J Med. 2013;369(10):920–931. doi: 10.1056/NEJMoa1208962. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Kensler TW, Spira A, Garber JE, Szabo E, Lee JJ, Dong Z, Dannenberg AJ, Hait WN, Blackburn E, Davidson NE, Foti M, Lippman SM. Transforming Cancer Prevention through Precision Medicine and Immune-oncology. Cancer Prev Res (Phila) 2016;9(1):2–10. doi: 10.1158/1940-6207.CAPR-15-0406. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Rzyman W, Mulshine JL. Lung cancer screening moving forward. Ann Transl Med. 2016;4(8):149. doi: 10.21037/atm.2016.04.04. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Thomas A, Liu SV, Subramaniam DS, Giaccone G. Refining the treatment of NSCLC according to histological and molecular subtypes. Nat Rev Clin Oncol. 2015;12(9):511–526. doi: 10.1038/nrclinonc.2015.90. [DOI] [PubMed] [Google Scholar]
  • 9.Zhang Y, Yang JM. The impact of cellular senescence in cancer therapy: is it true or not. Acta Pharmacol Sin. 2011;32(10):1199–1207. doi: 10.1038/aps.2011.108. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Abu Samaan TM, Samec M, Liskova A, Kubatka P, Busselberg D. Paclitaxel’s mechanistic and clinical effects on breast cancer. Biomolecules. 2019;9(12):789. doi: 10.3390/biom9120789. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Liebmann JE, Cook JA, Lipschultz C, Teague D, Fisher J, Mitchell JB. Cytotoxic studies of paclitaxel (Taxol) in human tumour cell lines. Br J Cancer. 1993;68(6):1104–1109. doi: 10.1038/bjc.1993.488. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Adrianzen Herrera D, Ashai N, Perez-Soler R, Cheng H. Nanoparticle albumin bound-paclitaxel for treatment of advanced non-small cell lung cancer: an evaluation of the clinical evidence. Expert Opin Pharmacother. 2019;20(1):95–102. doi: 10.1080/14656566.2018.1546290. [DOI] [PubMed] [Google Scholar]
  • 13.Fan PC, Zhang Y, Wang Y, Wei W, Zhou YX, Xie Y, Wang X, Qi YZ, Chang L, Jia ZP, Zhou Z, Guan H, Zhang H, Xu P, Zhou PK. Quantitative proteomics reveals mitochondrial respiratory chain as a dominant target for carbon ion radiation: Delayed reactive oxygen species generation caused DNA damage. Free Radic Biol Med. 2019;130:436–445. doi: 10.1016/j.freeradbiomed.2018.10.449. [DOI] [PubMed] [Google Scholar]
  • 14.Zulato E, Ciccarese F, Agnusdei V, Pinazza M, Nardo G, Iorio E, Curtarello M, Silic-Benussi M, Rossi E, Venturoli C, Panieri E, Santoro MM, Di Paolo V, Quintieri L, Ciminale V, Indraccolo S. LKB1 loss is associated with glutathione deficiency under oxidative stress and sensitivity of cancer cells to cytotoxic drugs and γ-irradiation. Biochem Pharmacol. 2018;156:479–490. doi: 10.1016/j.bcp.2018.09.019. [DOI] [PubMed] [Google Scholar]
  • 15.Ma Y, Chapman J, Levine M, Polireddy K, Drisko J, Chen Q. High-dose parenteral ascorbate enhanced chemosensitivity of ovarian cancer and reduced toxicity of chemotherapy. Sci Transl Med. 2014;6(222):222ra18. doi: 10.1126/scitranslmed.3007154. [DOI] [PubMed] [Google Scholar]
  • 16.González MJ, Miranda-Massari JR, Mora EM, Guzmán A, Riordan NH, Riordan HD, Casciari JJ, Jackson JA andRomán-Franco A. Orthomolecular oncology review: Ascorbic acid and cancer 25 years later. Integr Cancer Ther. 2005;4(1):32–44. doi: 10.1177/1534735404273861. [DOI] [PubMed] [Google Scholar]
  • 17.Srinivas US, Tan BWQ, Vellayappan BA, Jeyasekharan AD. ROS and the DNA damage response in cancer. Redox Biol. 2019;25:101084. doi: 10.1016/j.redox.2018.101084. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Conklin KA. Chemotherapy-associated oxidative stress: impact on chemotherapeutic effectiveness. Integr Cancer Ther. 2004;3(4):294–300. doi: 10.1177/1534735404270335. [DOI] [PubMed] [Google Scholar]
  • 19.Kotsantis P, Petermann E, Boulton SJ. Mechanisms of oncogene-induced replication stress: jigsaw falling into place. Cancer Discov. 2018;8(5):537–555. doi: 10.1158/2159-8290.CD-17-1461. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Matsuoka S, Ballif BA, Smogorzewska A, McDonald ER 3rd, Hurov KE, Luo J, Bakalarski CE, Zhao Z, Solimini N, Lerenthal Y, Shiloh Y, Gygi SP, Elledge SJ. ATM and ATR substrate analysis reveals extensive protein networks responsive to DNA damage. Science. 2007;316(5828):1160–1166. doi: 10.1126/science.1140321. [DOI] [PubMed] [Google Scholar]
  • 21.Redon C, Pilch D, Rogakou E, Sedelnikova O, Newrock K, Bonner W. Histone H2A variants H2AX and H2AZ. Curr Opin Genet Dev. 2002;12(2):162–169. doi: 10.1016/s0959-437x(02)00282-4. [DOI] [PubMed] [Google Scholar]
  • 22.Sedelnikova OA, Rogakou EP, Panyutin IG, Bonner WM. Quantitative detection of (125)IdU-induced DNA double-strand breaks with gamma-H2AX antibody. Radiat Res. 2002;158(4):486–492. doi: 10.1667/0033-7587(2002)158[0486:qdoiid]2.0.co;2. [DOI] [PubMed] [Google Scholar]
  • 23.Surova O, Zhivotovsky B. Various modes of cell death induced by DNA damage. Oncogene. 2013;32(33):3789–3797. doi: 10.1038/onc.2012.556. [DOI] [PubMed] [Google Scholar]
  • 24.Khosravi-Far R, Esposti MD. Death receptor signals to mitochondria. Cancer Biol Ther. 2004;3(11):1051–1057. doi: 10.4161/cbt.3.11.1173. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Parrish AB, Freel CD, Kornbluth S. Cellular mechanisms controlling caspase activation and function. Cold Spring Harb Perspect Biol. 2013;5(6):a008672. doi: 10.1101/cshperspect.a008672. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Victorelli S, Passos JF. Telomeres and cell senescence - size matters not. EBioMedicine. 2017;21:14–20. doi: 10.1016/j.ebiom.2017.03.027. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Yang L, Fang J, Chen J. Tumor cell senescence response produces aggressive variants. Cell Death Discov. 2017;3:17049. doi: 10.1038/cddiscovery.2017.49. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Borcherding N, Jethava Y, Vikas P. Repurposing anti-cancer drugs for COVID-19 treatment. Drug Des Devel Ther. 2020;14:5045–5058. doi: 10.2147/DDDT.S282252. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Ciliberto G, Mancini R, Paggi MG. Drug repurposing against COVID-19: focus on anticancer agents. J Exp Clin Cancer Res. 2020;39(1):86. doi: 10.1186/s13046-020-01590-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Nehme J, Borghesan M, Mackedenski S, Bird TG, Demaria M. Cellular senescence as a potential mediator of COVID-19 severity in the elderly. Aging Cell. 2020;19(10):e13237. doi: 10.1111/acel.13237. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Vatansev H, Kadiyoran C, Cumhur Cure M, Cure E. COVID-19 infection can cause chemotherapy resistance development in patients with breast cancer and tamoxifen may cause susceptibility to COVID-19 infection. Med Hypotheses. 2020;143:110091. doi: 10.1016/j.mehy.2020.110091. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Mohiuddin M, Kasahara K. The emerging role of cellular senescence in complications of COVID-19. Cancer Treat Res Commun. 2021;28:100399. doi: 10.1016/j.ctarc.2021.100399. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Sakai A, Kasahara K, Ohmori T, Kimura H, Sone T, Fujimura M, Nakao S. MET increases the sensitivity of gefitinib-resistant cells to SN-38, an active metabolite of irinotecan, by up-regulating the topoisomerase I activity. J Thorac Oncol. 2012;7(9):1337–1344. doi: 10.1097/JTO.0b013e31825cca4c. [DOI] [PubMed] [Google Scholar]
  • 34.Weaver BA. How Taxol/paclitaxel kills cancer cells. Mol Biol Cell. 2014;25(18):2677–2681. doi: 10.1091/mbc.E14-04-0916. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Nguyen DM, Lorang D, Chen GA, Stewart JH 4th, Tabibi E, Schrump DS. Enhancement of paclitaxel-mediated cytotoxicity in lung cancer cells by 17-allylamino geldanamycin: in vitro and in vivo analysis. Ann Thorac Surg. 2001;72(2):371–8. doi: 10.1016/s0003-4975(01)02787-4. discussion 378-9. [DOI] [PubMed] [Google Scholar]
  • 36.Davalli P, Marverti G, Lauriola A, D’Arca D. Targeting oxidatively induced dna damage response in cancer: opportunities for novel cancer therapies. Oxid Med Cell Longev. 2018;2018:2389523. doi: 10.1155/2018/2389523. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Li L, Zhu T, Gao YF, Zheng W, Wang CJ, Xiao L, Huang MS, Yin JY, Zhou HH, Liu ZQ. Targeting DNA damage response in the radio(chemo)therapy of non-small cell lung cancer. Int J Mol Sci. 2016;17(6):839. doi: 10.3390/ijms17060839. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Reuvers TGA, Kanaar R, Nonnekens J. DNA damage-inducing anticancer therapies: from global to precision damage. Cancers (Basel) 2020;12(8):2098. doi: 10.3390/cancers12082098. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Gong C, Liu B, Yao Y, Qu S, Luo W, Tan W, Liu Q, Yao H, Zou L, Su F, Song E. Potentiated DNA damage response in circulating breast tumor cells confers resistance to chemotherapy. J Biol Chem. 2015;290(24):14811–14825. doi: 10.1074/jbc.M115.652628. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Fillingham J, Keogh MC, Krogan NJ. GammaH2AX and its role in DNA double-strand break repair. Biochem Cell Biol. 2006;84(4):568–577. doi: 10.1139/o06-072. [DOI] [PubMed] [Google Scholar]
  • 41.McIlwain DR, Berger T, Mak TW. Caspase functions in cell death and disease. Cold Spring Harb Perspect Biol. 2013;5(4):a008656. doi: 10.1101/cshperspect.a008656. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Bojko A, Czarnecka-Herok J, Charzynska A, Dabrowski M, Sikora E. Diversity of the senescence phenotype of cancer cells treated with chemotherapeutic agents. Cells. 2019;8(12):1501. doi: 10.3390/cells8121501. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Wang B, Kohli J, Demaria M. Senescent cells in cancer therapy: friends or foes. Trends Cancer. 2020;6(10):838–857. doi: 10.1016/j.trecan.2020.05.004. [DOI] [PubMed] [Google Scholar]
  • 44.Shahbandi A, Rao SG, Anderson AY, Frey WD, Olayiwola JO, Ungerleider NA, Jackson JG. BH3 mimetics selectively eliminate chemotherapy-induced senescent cells and improve response in TP53 wild-type breast cancer. Cell Death Differ. 2020;27(11):3097–3116. doi: 10.1038/s41418-020-0564-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Hickson LJ, Langhi Prata LGP, Bobart SA, Evans TK, Giorgadze N, Hashmi SK, Herrmann SM, Jensen MD, Jia Q, Jordan KL, Kellogg TA, Khosla S, Koerber DM, Lagnado AB, Lawson DK, LeBrasseur NK, Lerman LO, McDonald KM, McKenzie TJ, Passos JF, Pignolo RJ, Pirtskhalava T, Saadiq IM, Schaefer KK, Textor SC, Victorelli SG, Volkman TL, Xue A, Wentworth MA, Wissler Gerdes EO, Zhu Y, Tchkonia T, Kirkland JL. Senolytics decrease senescent cells in humans: Preliminary report from a clinical trial of Dasatinib plus Quercetin in individuals with diabetic kidney disease. EBioMedicine. 2019;47:446–456. doi: 10.1016/j.ebiom.2019.08.069. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Mijit M, Caracciolo V, Melillo A, Amicarelli F, Giordano A. Role of p53 in the regulation of cellular senescence. Biomolecules. 2020;10(3):420. doi: 10.3390/biom10030420. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Chen Q, Sun X, Luo X, Wang J, Hu J, Feng Y. PIK3R3 inhibits cell senescence through p53/p21 signaling. Cell Death Dis. 2020;11(9):798. doi: 10.1038/s41419-020-02921-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Rayess H, Wang MB, Srivatsan ES. Cellular senescence and tumor suppressor gene p16. Int J Cancer. 2012;130(8):1715–1725. doi: 10.1002/ijc.27316. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Isaguliants MG, Bartosch B, Ivanov AV. Redox Biology of Infection and Consequent Disease. Oxid Med Cell Longev. 2020;2020:5829521. doi: 10.1155/2020/5829521. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Redza-Dutordoir M, Averill-Bates DA. Activation of apoptosis signalling pathways by reactive oxygen species. Biochim Biophys Acta. 2016;1863(12):2977–2992. doi: 10.1016/j.bbamcr.2016.09.012. [DOI] [PubMed] [Google Scholar]
  • 51.Schieber M, Chandel NS. ROS function in redox signaling and oxidative stress. Curr Biol. 2014;24(10):R453–R462. doi: 10.1016/j.cub.2014.03.034. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Cuadrado M, Martinez-Pastor B, Murga M, Toledo LI, Gutierrez-Martinez P, Lopez E, Fernandez-Capetillo O. ATM regulates ATR chromatin loading in response to DNA double-strand breaks. J Exp Med. 2006;203(2):297–303. doi: 10.1084/jem.20051923. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Fragkos M, Jurvansuu J, Beard P. H2AX is required for cell cycle arrest via the p53/p21 pathway. Mol Cell Biol. 2009;29(10):2828–2840. doi: 10.1128/MCB.01830-08. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Gagou ME, Zuazua-Villar P, Meuth M. Enhanced H2AX phosphorylation, DNA replication fork arrest, and cell death in the absence of Chk1. Mol Biol Cell. 2010;21(5):739–752. doi: 10.1091/mbc.e09-07-0618. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Elmore S. Apoptosis: a review of programmed cell death. Toxicol Pathol. 2007;35(4):495–516. doi: 10.1080/01926230701320337. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Brauns SC, Dealtry G, Milne P, Naudé R, Van de Venter M. Caspase-3 activation and induction of PARP cleavage by cyclic dipeptide cyclo(Phe-Pro) in HT-29 cells. Anticancer Res. 2005;25(6B):4197–4202. [PubMed] [Google Scholar]
  • 57.Los M, Mozoluk M, Ferrari D, Stepczynska A, Stroh C, Renz A, Herceg Z, Wang ZQ, Schulze-Osthoff K. Activation and caspase-mediated inhibition of PARP: a molecular switch between fibroblast necrosis and apoptosis in death receptor signaling. Mol Biol Cell. 2002;13(3):978–988. doi: 10.1091/mbc.01-05-0272. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.van Deursen JM. The role of senescent cells in ageing. Nature. 2014;509(7501):439–446. doi: 10.1038/nature13193. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Gu Z, Jiang J, Tan W, Xia Y, Cao H, Meng Y, Da Z, Liu H, Cheng C. p53/p21 Pathway involved in mediating cellular senescence of bone marrow-derived mesenchymal stem cells from systemic lupus erythematosus patients. Clin Dev Immunol. 2013;2013:134243. doi: 10.1155/2013/134243. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Jiang C, Liu G, Luckhardt T, Antony V, Zhou Y, Carter AB, Thannickal VJ, Liu RM. Serpine 1 induces alveolar type II cell senescence through activating p53-p21-Rb pathway in fibrotic lung disease. Aging Cell. 2017;16(5):1114–1124. doi: 10.1111/acel.12643. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Cottage CT, Peterson N, Kearley J, Berlin A, Xiong X, Huntley A, Zhao W, Brown C, Migneault A, Zerrouki K, Criner G, Kolbeck R, Connor J, Lemaire R. Targeting p16-induced senescence prevents cigarette smoke-induced emphysema by promoting IGF1/Akt1 signaling in mice. Commun Biol. 2019;2:307. doi: 10.1038/s42003-019-0532-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Curigliano G. Cancer patients and risk of mortality for COVID-19. Cancer Cell. 2020;38(2):161–163. doi: 10.1016/j.ccell.2020.07.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Shankar A, Saini D, Bhandari R, Bharati SJ, Kumar S, Yadav G, Durga T, Goyal N. Lung cancer management challenges amidst COVID-19 pandemic: hope lives here. Lung Cancer Manag. 2020;9(3):LMT33. doi: 10.2217/lmt-2020-0012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Wang P, Sha J, Meng M, Wang C, Yao Q, Zhang Z, Sun W, Wang X, Qie G, Bai X, Liu K, Chu Y. Risk factors for severe COVID-19 in middle-aged patients without comorbidities: a multicentre retrospective study. J Transl Med. 2020;18(1):461. doi: 10.1186/s12967-020-02655-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Vatansev H, Kadiyoran C, Cumhur Cure M, Cure E. COVID-19 infection can cause chemotherapy resistance development in patients with breast cancer and tamoxifen may cause susceptibility to COVID-19 infection. Med Hypotheses. 2020;143:110091. doi: 10.1016/j.mehy.2020.110091. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Weisberg E, Parent A, Yang PL, Sattler M, Liu Q, Liu Q, Wang J, Meng C, Buhrlage SJ, Gray N, Griffin JD. Repurposing of kinase inhibitors for treatment of COVID-19. Pharm Res. 2020;37(9):167. doi: 10.1007/s11095-020-02851-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Nehme J, Borghesan M, Mackedenski S, Bird TG, Demaria M. Cellular senescence as a potential mediator of COVID-19 severity in the elderly. Aging Cell. 2020;19(10):e13237. doi: 10.1111/acel.13237. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Chapagain P. Potential role of cellular senescence on coronavirus infections. Preprints. 2020 doi: 10.20944/preprints202004.0532.v1. [DOI] [Google Scholar]
  • 69.Maremanda KP, Sundar IK, Li D, Rahman I. Age-dependent assessment of genes involved in cellular senescence, telomere, and mitochondrial pathways in human lung tissue of smokers, COPD, and IPF: Associations with SARS-CoV-2 COVID-19 ACE2-TMPRSS2-Furin-DPP4 axis. Front Pharmacol. 2020;11:584637. doi: 10.3389/fphar.2020.584637. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Cancer Genomics & Proteomics are provided here courtesy of International Institute of Anticancer Research

RESOURCES