| Literature DB >> 35477123 |
James A McCubrey1, Akshaya K Meher1, Shaw M Akula1, Stephen L Abrams1, Linda S Steelman1, Michelle M LaHair1, Richard A Franklin1, Alberto M Martelli2, Stefano Ratti2, Lucio Cocco2, Fulvio Barbaro3, Przemysław Duda4, Agnieszka Gizak4.
Abstract
TP53 is a master regulator of many signaling and apoptotic pathways involved in: aging, cell cycle progression, gene regulation, growth, apoptosis, cellular senescence, DNA repair, drug resistance, malignant transformation, metastasis, and metabolism. Most pancreatic cancers are classified as pancreatic ductal adenocarcinomas (PDAC). The tumor suppressor gene TP53 is mutated frequently (50-75%) in PDAC. Different types of TP53 mutations have been observed including gain of function (GOF) point mutations and various deletions of the TP53 gene resulting in lack of the protein expression. Most PDACs have point mutations at the KRAS gene which result in constitutive activation of KRas and multiple downstream signaling pathways. It has been difficult to develop specific KRas inhibitors and/or methods that result in recovery of functional TP53 activity. To further elucidate the roles of TP53 in drug-resistance of pancreatic cancer cells, we introduced wild-type (WT) TP53 or a control vector into two different PDAC cell lines. Introduction of WT-TP53 increased the sensitivity of the cells to multiple chemotherapeutic drugs, signal transduction inhibitors, drugs and nutraceuticals and influenced key metabolic properties of the cells. Therefore, TP53 is a key molecule which is critical in drug sensitivity and metabolism of PDAC.Entities:
Keywords: PDAC; TP53; chemotherapeutic drugs; metabolic properties; targeted therapy
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Year: 2022 PMID: 35477123 PMCID: PMC9085237 DOI: 10.18632/aging.204038
Source DB: PubMed Journal: Aging (Albany NY) ISSN: 1945-4589 Impact factor: 5.682
Figure 1Illustration of TP53’s interactions with other signaling pathways important in regulation of cell growth and sites of interaction for chemotherapeutic drugs, certain signal transduction inhibitors, natural products and nutraceuticals. Green arrows = induction of a pathway, red arrows = suppression of a pathway.
Chemotherapeutic drugs, signal transduction inhibitors, natural products used in this study and their targets, mode of action, and intersections with the TP53 pathway.1,2
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| Docetaxel | Microtubule Binder | Blocks mitosis by inhibiting mitotic spindle assembly. | Docetaxel intersects with TP53 pathway. WT-TP53 increases sensitivity, increases phosphorylation of S15-TP53. |
| 5-Fluorouracil (5FU) | Nucleoside Analogue | Blocks the activity of thymidylate synthase, thus, inhibits DNA synthesis/replication. | 5FU intersects with TP53 pathway. WT-TP53 increases sensitivity to FU. 5FU induces TP53 stabilization by blocking MDM2. |
| Gemcitabine (Gem) | Nucleoside Analogue | Gemcitabine exerts it antitumor effects by promoting apoptosis of cells undergoing DNA synthesis. | Gem intersects with TP53 pathway. WT-TP53 increases sensitivity. Gem can induce TP53 targets such as PUMA and Bax which leads to apoptosis. |
| Aclacinomycin (Aclarubicin) | DNA intercalator, Topoisomerase II | Topoisomerase inhibitor (inh.) thus, inhibits DNA replication. | As an anthracycline it probably insects with TP53 pathway. However, like most chemotherapeutic drugs, it can function in TP53 mutant cells. |
| Daunorubicin | DNA intercalators, Topoisomerase II | Topoisomerase inh. thus, inhibits DNA replication. | Daunorubicin intersects with TP53 pathway. It induces TP53 and downstream p21Cip1. |
| Doxorubicin (Dox) | DNA intercalator, Topoisomerase II | Topoisomerase inh. thus, inhibits DNA replication and induces many TP53-regulated genes, many induce apoptosis. | Dox intersects with TP53 pathway. It increases TP53 expression and phosphorylation at S15 and can induce p21Cip-1. |
| Etoposide | Binds to Topoisomerase II | Topoisomerase inh. thus, inhibits DNA replication and induces apoptosis. Complex form between etoposide and DNA and can prevent DNA repair. | Etoposide intersects with TP53 pathway. It increases TP53 and pro-apoptotic PUMA expression as well as Bax processing. |
| Cisplatin (Cis) | DNA | Crosslinks DNA to form DNA adducts. Preventing repair of DNA leading to DNA damage and subsequently apoptosis. | Cis intersects with TP53 pathway. Cis can enhance TP53, p21Cip-1, MDM2 and Fas expression. |
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| ARS-1620 | Mutant KRas | KRas-mediated catalysis of the chemical reaction with Cys12 in KRASG12C. | KRas interacts with the TP53 pathway. TP53 and KRas interact to modulate CREB1 expression to promote metastasis and tumor growth. |
| PD0325901 | MEK1 | A highly selective allosteric inh. that does not compete with either ATP or ERK1/2. | MEK1 interacts with the TP53 pathway. Downstream ERK can phosphorylate and activate TP53, resulting in many cellular responses. |
| LY294002 | PI3K and others | Competition with ATP for binding the PI3K active site. | PI3K and downstream molecules can interact with the TP53 pathway. Downstream of PI3K are PTEN and Akt and they can regulate the TP53 pathway at various steps and processes. |
| Pifithrin-μ | TP53 | Inhibits some of TP53 activities by binding to BCLXL and BCL2 at the mitochondria without affecting TP53 transcriptional activities. | Pifithrin-μ inhibits some proteins regulated by the TP53 pathway (BCL-XL and BCL2). |
| 6-bromoindirubin-30-oxime (BIO) | GSK-3 | BIO is a selective, reversible potent GSK-3 inh. It is an ATP-competitive inhibitor of GSK-3α/β. It interacts with ATP binding site of GSK-3. | GSK-3 interacts with TP53 pathway. GSK-3 phosphorylates sites on the proteasomal inhibitor MDM2. This phosphorylation is required for TP53 degradation. Inhibition of GSK-3 leads to an increase in TP53 levels. |
| SB415286 | GSK-3 | Targets ATP-binding site. It inhibits both GSK-3α and GSK-β. | GSK-3 interacts with TP53 pathway. GSK-3 phosphorylates sites on the proteasomal inhibitor MDM2. This phosphorylation is required for TP53 degradation. Inhibition of GSK-3 leads to an increase in TP53 levels. |
| CHIR99021 | GSK-3 | Targets ATP-binding site. It inhibits both GSK-3α and GSK-β. | GSK-3 interacts with TP53 pathway. GSK-3 phosphorylates sites on the proteasomal inhibitor MDM2. This phosphorylation is required for TP53 degradation. Inhibition of GSK-3 leads to an increase in TP53 levels. |
| Rapamycin | mTORC1 | Binds and blocks mTORC1 complex. | mTORC1 interacts with the TP53 pathway. Activation of TP53 downregulates mTOR signaling. This occurs through AMPK. |
| AG1498 | EGFR | AG1478 competitively binds to the ATP binding pocket in EGFR. | EGFR interacts with the TP53 pathway.TP53 mutations are associated with primary or acquired resistance to EGFR-tyrosine kinase inhibitors. |
| Gilteritinib | AXL/ALK/FLT3 | Gilteritinib binds to the ATP binding site in the active pocket of the AXL/ALK/FLT3 kinases. | AXL/ALK/FLT3 interacts with the TP53 pathway. AXL suppresses TP53 expression by binding to DNA sequences upstream from the TP53 gene. AXL is also regulated by miR-34a which is regulated by TP53. ALK inhibitors are not as effective in lung cancer patients that have rearranged ALK genes and are also mutated at TP53 as in patients with germline genes. Also, FLT-3 and TP53 also interact. |
| Sorafenib | Multiple kinases (e.g., Raf, PDGFR, VEGFR, FLT-3 and others) | Sorafenib binds to the ATP binding site. | Many of these kinases and their downstream substrates interact with TP53 pathway by phosphorylating TP53 and other molecules regulated by TP53. Mutant TP53 can also regulate the expression of some of these kinases such as PDGFR. |
| OTX008 | Galectin-1 | OTX008 binds galectin-1 which leads to galectin-1 oxidation and proteasomal degradation. | Galectin-1 can interact with the TP53 pathway. TP53 can induce the expression of miRs which regulate galectin-1 expression. |
| Tiplaxtinin | Serpine-1 | Tiplaxtinin binds to the active conformation of serpine-1 and induced reversible inactivation serpine-1. | TP53 regulates the expression of miR-34a which can down regulate serpine-1. Serpine1- is involvement of metastasis in various cancers. |
| Verapamil (Ver) | Calcium channel | Also, some transporters associated with chemotherapeutic drug resistance. Binds to sites on MDR1 glycoprotein preventing drug efflux. Also, downregulates MDR1 expression. | TP53 pathway and Ver interact. Ver interacts with the TP53 activator (MDM2 inhibitor) nutlin-3a which results in suppression of cell growth. |
| Vismodegib (Vis) | Hh pathway | Smoothened homologue (SMO) binds to Smoothened (SMO) and inhibits its activity. | Multiple interactions with TP53 pathway. |
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| Cyclopamine | Sonic hedgehog (SHH) pathway | Cyclopamine binds to SMO and inhibits its activity. | Multiple interactions with TP53 pathway. |
| Parthenolide2 | NF-κB (other targets) | Inhibition of activation of IκB, and direct binding to NF-κB, preventing its interaction with DNA. | NF-κB interacts with the TP53 pathway TP53 and NF-κB inhibit each other’s ability to stimulate gene expression. |
| Isoliquiritin2 | Induces apoptotic cell death through upregulating TP53 and p21Cip-1. Suppresses NF-κB, ERK and activation of other targets | Suppresses invasiveness and angiogenesis of cancer. | Isoliquiritin interacts with TP53 pathway. It induces TP53 and inhibits NF-κB and ERK. Both interact with TP53 pathway. |
| Genistein (isoflavone)2 | Multiple targets | Genistein triggers the ER stress to induce apoptosis and other mechanisms of cell death. | Genistein interacts with TP53 pathway. Genistein increases the phosphorylation and activation of ATM/ATR-TP53-p21Cip-1 pathway. |
| Daidzein (isoflavone)2 | Multiple targets | Daidzein and genistein induce cell cycle arrest in the G2/M phase. This is accompanied by activation of ATM/TP53, and p21Cip-1 and other cell cycle regulatory genes. | Daidzein interacts with TP53 pathway. Daidzein increases the phosphorylation and activation of ATM/ATR-TP53-p21Cip-1 pathway. |
1Many chemotherapeutic drugs and signal transduction inhibitors have other effects and targets. We describe the targets that are most closely related to TP53.
2Most natural products have multiple targets. We describe some of the targets that are more closely related to TP53.
Figure 2Effects of signal transduction inhibitors on the growth of MIA-PaCa-2 + WT-TP53 and MIA-PaCa-2 + pLXSN cells. The effects of docetaxel (A), etoposide (B) aclacinomycin (C) and daunorubicin (D) on MIA-PaCa-2 + pLXSN cells (solid red squares) and MIA-PaCa-2 + WT-TP53 cells (solid blue circles) were examined by MTT analysis. These experiments were repeated and similar results were obtained. Statistical analyses were performed by the Student T test on the means and standard deviations of various treatment groups. ***P < 0.0001.
Effects of WT-TP53 and pLXSN on sensitivity of MIA-PaCa-2 pancreatic cancer cells on chemotherapeutic drugs, signal transduction inhibitors and natural products as determined by IC50 analysis.1
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| Docetaxel (microtubule binder) | 0.3 nM | 0.08 nM | 3.8 X↓ |
| Etoposide (topoisomerase inh.) | 750 nM | 400 nM | 1.9 X↓ |
| Aclacinomycin (topoisomerase inh.) | 1 nM | 0.2 nM | 5 X↓ |
| Daunorubicin (topoisomerase inh.) | 120 nM | 60 nM | 2 X ↓ |
| ARS-1620 (mutant KRas inh.) | 10 nM | 0.8 nM | 12.5 X↓ |
| PD0325901 (MEK1 inh.) | 150 nM | 45 nM | 3.3 X↓ |
| LY294002 (PI3K inh.) | 5,000 nM | 150 nM | 33.3 X↓ |
| Pifithrin-μ (TP53 inh.) | 600 nM | 2.5 nM | 240 X↓ |
| BIO (GSK-3 inh.) | 210 nM | 100 nM | 2.1 X↓ |
| SB415286 (GSK-3 inh.) | 40 nM | 3 nM | 13.3 X↓ |
| CHIR99021 (GSK-3 inh.) | 500 nM | 300 nM | 1.7 X↓ |
| Rapamycin (mTORC1 blocker) | 2 nM | 0.3 nM | 6.7 X↓ |
| AG1498 (EGFR inh.) | 1,000 nM | 200 nM | 5 X↓ |
| Gilteritinib (AXL/ALK/FLT3 inh.) | 600 nM | 220 nM | 2.7 X↓ |
| Sorafenib (multi-kinase inh.) | 1,000 nM | 700 nM | 1.4 X↓ |
| OTX008 (Galectin-1 inh.) | 1,000 nM | 10 nM | 100 X↓ |
| Tiplaxtinin (Serpine-1 inh.) | 40 nM | 10 nM | 4 X↓ |
| Cyclopamine (SHH inh.) | 1,000 nM | 500 nM | 2 X↓ |
| Parthenolide (NF-κB inh, other targets) | 40 nM | 3.5 nM | 11.4 X↓ |
| Isoliquiritin (multiple targets) | 1,900 nM | 600 nM | 3.2 X↓ |
| Genistein (isoflavone, many targets) | 300 nM | 70 nM | 4.3 X↓ |
| Daidzein (isoflavone, many targets) | 1,000 nM | 600 nM | 1.7 X↓ |
1Determined by MTT analysis as previously described [40, 41].
Figure 3Effects of the Ras/MEK, PI3K/mTOR and TP53 inhibitors on the growth of MIA-PaCa-2 + WT-TP53 and MIA-PaCa-2 + pLXSN cells. The effects of the ARS-1620 mutant KRas inhibitor (A), the PD0325901 MEK1 inhibitor (B), the LY294002 PI3K inhibitor (C) and the TP53 inhibitor pifithrin-μ (D) on MIA-PaCa-2 + pLXSN cells (solid red squared) and MIA-PaCa-2 + WT-TP53 cells (solid blue circles) were examined by MTT analysis. The MIA-PaCa-2 + WT-TP53, and MIA-PaCa-2 + pLXSN cells in each panel were all examined at the same time period. These experiments were repeated and similar results were obtained. Statistical analyses were performed by the Student T test on the means and standard deviations of various treatment groups. ***P < 0.0001.
Figure 4Effects of GSK-3 inhibitors and the mTORC1 blocker rapamycin on the growth of MIA-PaCa-2 + WT-TP53 and MIA-PaCa-2 + pLXSN cells. The effects of the BIO GSK-3 inhibitor (A), the SB415286 GSK-3 inhibitor (B), the CHIR99021 GSK-3 inhibitor (C) and the mTORC1 blocker rapamycin (D) on MIA-PaCa-2 + pLXSN cells (solid red squared) and MIA-PaCa-2 + WT-TP53 cells (solid blue circles) were examined by MTT analysis. The MIA-PaCa-2 + WT-TP53, and MIA-PaCa-2 + pLXSN cells in each panel were all examined at the same time period. These experiments were repeated and similar results were obtained. Statistical analyses were performed by the T test on the means and standard deviations of various treatment groups. ***P < 0.0001.
Figure 5Effects of inhibitors which may suppress metastasis on the growth of MIA-PaCa-2 + WT-TP53 and MIA-PaCa-2 + pLXSN cells. The effects of the AG1478 EGFR inhibitor (A), the gilteritinib ALK/AXL/FLT3 inhibitor (B), the sorafenib multi-kinase inhibitor (C) and the galectin-1 inhibitor OTX008 (D) on MIA-PaCa-2 + pLXSN cells (solid red squares) and MIA-PaCa-2 + WT-TP53 cells (solid blue circles) were examined by MTT analysis. The MIA-PaCa-2 + WT-TP53, and MIA-PaCa-2 + pLXSN cells in each panel were all examined at the same time period. These experiments were repeated and similar results were obtained. Statistical analyses were performed by the T test on the means and standard deviations of various treatment groups. ***P < 0.0001, and **P < 0.005.
Figure 6Effects of inhibitors/natural products which may suppress metastasis on the growth of MIA-PaCa-2 + WT-TP53 and MIA-PaCa-2 + pLXSN cells. The effects of the tiplaxtinin Serpine-1 inhibitor (A), the natural product cyclopamine, a SHH inhibitor (B), the natural product parthenolide, a NF-κB inhibitor (C), and the natural product/nutraceutical isoliquiritin (D) were examined by MTT analysis. The MIA-PaCa-2 + WT-TP53, and MIA-PaCa-2 + pLXSN cells in each panel were all examined at the same time period. These experiments were repeated and similar results were obtained. Statistical analyses were performed by the T test on the means and standard deviations of various treatment groups. ***P < 0.0001.
Figure 7Effects of nutraceuticals on the growth of MIA-PaCa-2 + WT-TP53 and MIA-PaCa-2 + pLXSN cells. The effects of genistein (A), and daidzein (B), on MIA-PaCa-2 + pLXSN cells (solid red squared) and MIA-PaCa-2 + WT-TP53 cells (solid blue circles) were examined by MTT analysis. The MIA-PaCa-2 + WT-TP53, and MIA-PaCa-2 + pLXSN cells in each panel were all examined at the same time period. These experiments were repeated and similar results were obtained. Statistical analyses were performed by the T test on the means and standard deviations of various treatment groups. ***P < 0.0001.
Figure 8Effects of pLXSN and WT-TP53 on clonogenicity in the presence of 5-Fluorouracil, gemcitabine or cisplatin in two PDAC cell lines. The clonogenicity in the presence of increasing concentrations of 5-fluorouracil (5FU), gemcitabine (Gem) and cisplatin (Cis) were examined in: MIA-PaCa-2 + pLXSN and MIA-PaCa-2 + WT-TP53 (A–C), PANC-28 + pLXSN, and PANC-28 + WT-TP53 (D–F). Red horizontal bars = MIA-PaCa-2 or PANC-28 containing pLXSN. Blue horizontal bars = MIA-PaCa-2 or PANC-28 containing WT-TP53. These experiments were repeated and similar results were observed. The colonies for each cell line were normalized to untreated so that the results from pLXSN and WT-TP53 could be compared. ***P < 0.0001, **P < 0.005 and *P < 0.05.
Figure 9Effects of pLXSN and WT-TP53 on the colony formation in soft agar in the presence of 5-Fluorouracil. The effects of pLXSN and WT-TP53 on the colony formation in soft agar were examined. Red squares = MIA-PaCa-2 + pLXSN cells, blue circles = MIA-PaCa-2 + WT-TP53 cells. IC50 is indicated with a purple dotted line and IC25 is indicated with a green dotted line. IC25 is a term to indicate inhibition of colony formation at 25%. These experiments were repeated performed and similar results were observed. The colonies for each cell line were normalized to untreated cells so that the results from the MIA-PaCa-2 + pLXSN and MIA-PaCa-2 + WT-TP53 could be compared. **P < 0.005.
Figure 10Crystal violet-stained colonies in soft agar in the presence of 5-Fluorouracil. The effects of pLXSN and WT-TP53 on the colony formation in soft agar were photographed after staining. Photographs were taken at the same day and at the same magnification on the microscope. (A) MIA-PaCa-2 + pLXSN cells treated with increasing concentration of 5FU, (B) MIA-PaCa-2 + WT-TP53 cells treated with increasing concentrations of 5FU.
Figure 11Effects of pLXSN and WT-TP53 on the colony formation in soft agar in the presence of docetaxel. The effects of pLXSN and WT-TP53 on the colony formation in soft agar in MIA-PaCa-2 and PANC-28 cells were examined. (A) MIA-PaCa-2 + pLXSN (red bars) and MIA-PaCa-2 + WT-TP53 (blue bars) were compared in response to docetaxel. (B) PANC-28 + pLXSN (red bars) and PANC-28 + WT-TP53 (blue bars) were compared in response to docetaxel. The colonies for each cell line were normalized to untreated so that the results from pLXSN and WT-TP53 could be compared. These studies were repeated and similar results were observed. ***P < 0.0001, **P < 0.005 and *P < 0.05, NS = not statistically significant.
Figure 12Effects of pLXSN and WT-TP53 on the colony formation in soft agar in the presence of doxorubicin, verapamil and vismodegib. The effects of pLXSN and WT-TP53 on the colony formation in soft agar in MIA-PaCa-2 in response to drugs was examined. (A) Colony formation abilities of MIA-PaCa-2 + pLXSN (red bars) and MIA-PaCa-2 + WT-TP53 (blue bars) were compared in response to treatment with doxorubicin. (B) Colony formation abilities of MIA-PaCa-2 + pLXSN (red bars) and MIA-PaCa-2 + WT-TP53 (blue bars) were compared in response to verapamil. (C) Colony formation abilities of MIA-PaCa-2 + pLXSN (red bars) and MIA-PaCa-2 + WT-TP53 (blue bars) were compared in response to treatment with vismodegib. The number of colonies for each cell line were normalized to untreated so that the results from pLXSN and WT-TP53 could be compared. These studies were repeated and similar results were observed. ***P < 0.0001, and **P < 0.005.
Figure 13Effects of presence of WT-TP53 on glycolysis and mitochondrial respiration. The data for MIA-PaCa-2 + pLXSN is the same control as presented in [91]. Both MIA-PaCa-2 + pLXSN and MIA-PaCa-2 + WT-TP53 cells were examined the same time on the Seahorse machine as were MIA-PaCa-2 + WT-GSK-3β and MIA-PaCa-2 + KD-GSK-3β cells (all four cell lines done at same time). The data presented in Figure 14 are the means and standard error of the means (SEM).
Figure 15Effects of presence of WT-TP53 on glycolysis. Glycolysis for STAT, glycolytic capacity, and glycolytic reserve for STAT were measured by the Seahorse instrument. The data for MIA-PaCa-2 + pLXSN is the same control as presented in [91]. Both MIA-PaCa-2 + MIA-PaCa-2 + WT-TP53 were examined the same time on the Seahorse machine. STAT is an abbreviation for statistics used in study which was the Mann–Whitney test.
Figure 14Effects of presence of WT-TP53 on respiratory capacity. The data for MIA-PaCa-2 + pLXSN is the same control as presented in [91]. Both MIA-PaCa-2 + pLXSN and MIA-PaCa-2 + WT-TP53 were examined the same time on the Seahorse machine. The measurements were made 5 times (5 replicates). The data presented in Figure 14 are the means and standard error of the means (SEM).
Figure 16Influences of mutant and WT-TP53 on mitochondrial activity and glucose metabolism and effects of rapamycin and metformin. The effects of WT and mutant TP53 on key enzymes important in glycolysis and how they can influence metabolism and PDAC tumor growth. In our studies, we have examined the effect of GOF mutant TP53 and in some cases WT TP53. In addition, sites of interaction of the type 2 diabetes drug metformin and the immunosuppressive drug rapamycin and their effects on AMPK and mTORC1 are indicated. TP53 can induce mitochondrial apoptosis pathway by regulating the expression of PUMA and other proteins.