|Year : 2022 | Volume
| Issue : 2 | Page : 143-152
Benchmarking the distribution coefficient of anticancer lead compounds using the predicted log D values of clinically approved chemotherapeutic drugs
Paolo Raphael Eclarin1, Patricia Andrea Yan1, Carlo Lorenzo Paliza1, Blanche Ibasan1, Patricia Rosemarie Basiloy1, Nick Adrian Gante1, Angelie Nicole Reyes1, John Sylvester Nas2
1 Department of Medical Technology, Institute of Arts and Sciences, Far Eastern University, Manila, Philippines
2 Department of Biology, College of Arts and Sciences, University of the Philippines Manila, Manila, Philippines
|Date of Submission||11-Apr-2022|
|Date of Decision||20-May-2022|
|Date of Acceptance||28-May-2022|
|Date of Web Publication||15-Jun-2022|
Asst. Prof. John Sylvester Nas
Department of Biology, College of Arts and Sciences, University of the Philippines Manila, Manila
Source of Support: None, Conflict of Interest: None
BACKGROUND: The distribution coefficient (Log D) can predict the solubility of a compound at a particular pH. In identifying lead compounds, Log D is helpful to predict the behavior, permeability, and clearance of a compound in the different organs.
AIM AND OBJECTIVE: This study examined the ability of Log D to discriminate cancer tissues from non-cancer tissues using the predicted Log D of various clinically approved anticancer drugs.
MATERIALS AND METHODS: We collected the information on the different anticancer drugs for breast, liver, kidney, lung small, lung non-small, prostate, and bone cancer from the National Cancer Institute. We predicted their Log D values at different pH of their respective tissues.
RESULTS: Results show that only the Log D values of breast and lung non-small cancer drugs in the cancer tissues were significantly different (p<0.05) from the Log D of the non-cancer tissue counterpart. Moreover, the Log D value of the normal and bone cancer tissues is significantly different (p<0.05) from the different normal and cancer tissues evaluated. Furthermore, the Log D values of small lung cancer tissues are significantly different (p<0.05) from normal and kidney cancer tissues, normal and liver cancer tissues, and normal non-small and lung cancer tissues.
CONCLUSION: These findings suggest that drugs that may be permeable in breast and lung non-small cancer tissues may not be permeable in their normal tissue counterpart. Additionally, bone and lung small cancer drugs may have low permeability with other tissues, indicating that the unintended effects may be low. However, since there is a low permeability in other organs, it may not be a good candidate for drug repurposing. These findings are yet inconclusive; hence, further investigation is needed to verify the results of this investigation.
Keywords: Cancer, chemotherapeutics, distribution coefficient, drug repurposing, in silico, pharmacokinetics
|How to cite this article:|
Eclarin PR, Yan PA, Paliza CL, Ibasan B, Basiloy PR, Gante NA, Reyes AN, Nas JS. Benchmarking the distribution coefficient of anticancer lead compounds using the predicted log D values of clinically approved chemotherapeutic drugs. J Prev Diagn Treat Strategies Med 2022;1:143-52
|How to cite this URL:|
Eclarin PR, Yan PA, Paliza CL, Ibasan B, Basiloy PR, Gante NA, Reyes AN, Nas JS. Benchmarking the distribution coefficient of anticancer lead compounds using the predicted log D values of clinically approved chemotherapeutic drugs. J Prev Diagn Treat Strategies Med [serial online] 2022 [cited 2022 Aug 9];1:143-52. Available from: http://www.jpdtsm.com/text.asp?2022/1/2/143/347545
| Introduction|| |
Cancer develops by the continuous proliferation of old or damaged cells and the formation of new cells even though they are not needed. The constant proliferation of these types of cells without stopping causes abnormal tissue masses known as tumors; not all types of cancers form tumors. Cancer cells are detrimental to humans due to their ability to evade apoptosis and undergo angiogenesis, which further promotes the survival of these cancer cells. There are various speculations about how cancer originates, but it was discovered that most cancers are caused by environmental exposure rather than inherited genetic factors. A study has shown that in 2008, only 5%–10% of all cancer cases in the world were due to genetic defects, while the remaining 90%–95% were attributed to environmental and lifestyle factors.
Chemotherapeutic treatments may employ one kind of drug or in combination with other medications. Chemotherapeutic drugs target specific cells within the different phases of the cell cycle since cancer cells are vulnerable during mitosis. The effectiveness of chemotherapeutic drugs varies on their mechanism of action; hence using a combination of drugs shows a promising result. However, its cytotoxic property is evident in cancer cells and normal tissues.
Moreover, the process of drug discovery in developing a new anticancer drug is slow and expensive. Using animal models, such as Caenorhabditis elegans, for cancer drug development may be less expensive than the clinical trial but a little costly for preliminary screening. With clinical trials being the most costly factor in drug development, their importance for safety and efficacy justifies the high amount of funding. Since 2008, in over 320,000 clinical trials, 17.2% of Phase II trials (testing for efficacy) and 12.2% of Phase III trials (testing for clinical benefits) have been prematurely terminated due to inadequate planning.
Since the high-throughput screening of drug candidates is costly and inefficient, in silico prediction for active therapeutics is mainly one way of screening existing compounds. Moreover, for drug repurposing, an in silico-based approach may be efficient to identify new uses of drug molecules rationally. Therefore, it is a strategy used to research existing drugs, which have already been proven and tested on humans, and is then redirected based on a valid target molecule for a particular disease.
Lipinski's rule of five (Ro5) during drug development is usually used to evaluate the compounds' predicted oral bioavailability. In Ro5, the characteristics of the desired lead compound should have a molecular weight of <500 Da, no more than 5 H-bond donors, no more than 10 H-bond acceptors, and a partition coefficient (Log P) not >5). This concept is used as a guide for lead optimization. This screening eliminates nondrug-like molecules significantly and enhances the library in terms of absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties. The significance of ADMET properties plays an essential role in drug screening since it accounts for the failure of 60% of drug molecules during the drug development process, and early prediction of these properties would lead to a significant cost reduction in its research.
The Log P is used to assess the distribution of a solute in two immiscible solvents. It is used to determine the distribution of a chemical in a body and assess the efficiency of induced drugs in a patient. The efficiency of drugs can be determined using the Log P by mixing the drug sample with octanol and water and then determining the concentration in each layer. Since cancer cells are intracellularly alkaline and could produce an acidic environment, there are different pH levels under other organ systems depending on the existing condition of the organ. Kidney cancer cells possess an extracellular pH of 6.2–6.8, while prostate cancer cells have an extracellular pH of 6.4–7.5.,
On the other hand, the distribution coefficient (Log D) is a more efficient method of assessing the distribution and solubility of compounds under different pH levels, as it considers the pH levels of molecules in an aqueous solution. The pH levels need to be considered in drug production as body fluids in various organs vary.
| Materials and Methods|| |
Selection of chemotherapeutics
We evaluated all the clinically approved drugs for breast, kidney, liver, lung (small and nonsmall), prostate, cervix, and brain cancer. Our inclusion criteria in selecting the compounds are: (1) availability in the National Cancer Institute (cancer.gov), (2) the 3D structure of the compound is available in PubChem (https://pubchem.ncbi.nlm.nih.gov), (3) compounds with minor modification from the generic compound. Compounds sharing the same structure but with different names were considered duplicates and excluded from the study.
Distribution coefficient prediction
We used Chemaxon (Budapest, Hungary) to predict the Log D values for each drug depending on the pH of the organ (both normal and cancer). Since the pH available is only limited to whole numbers, we calculated for the exact Log D of the drug using the slope-intercept formula, as shown in Equation 1.
y = mx + b
Equation 1: Slope intercept formula.
We pooled the Log D of the drugs to generate the range and identify the outliers using box and whisker plots. After identifying outliers, we normalized the data to compute for the mean Log D in each pH. We evaluated the data set for normality and homogeneity using the Kolmogorov–Smirnov test and Levene's test. The mean Log D values of the drugs in each cancer tissue were compared to each other using one-way analysis of variance with LSD, HSD, and Scheffe's for the post hoc analysis. We used QI Macros 2018 in all the statistical analyses. We set the level of significance for all statistical tests at P < 0.05.
| Results|| |
Selection of chemotherapeutics
A total of 93 compounds were included in the study, as shown in [Table 1]. We included 33 drugs for breast cancer, 9 for kidney cancer, 4 for liver, 6 for small lung cancer, 19 for nonsmall lung cancer, 17 for prostate, and 5 for bone cancer. We found that 11 drugs were recommended for more than one type of cancer tissue. These drugs were docetaxel (breast, lung nonsmall, and prostate), doxorubicin hydrochloride (breast, lung small, lung nonsmall, and bone), goserelin acetate (breast and prostate), methotrexate sodium (breast, lung small, and bone), olaparib (breast and prostate), paclitaxel (breast and lung nonsmall), Zoladex (goserelin) (breast and prostate), cabozantinib-s-malate (kidney and liver), everolimus (kidney and lung small), lenvatinib mesylate (kidney and liver), and sorafenib tosylate (kidney and liver).
|Table 1: List of approved chemotherapeutic drugs for different cancer from National Cancer Institute|
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Comparison of the distribution coefficient values of the cancer drugs in normal versus cancer tissues in various pH
The Log D values of the different cancer drugs in breast and lung (nonsmall) cancer were significantly different from their normal tissue counterpart. At pH 6.3, the Log D value for the breast cancer tissue (1.10 ± 0.35) is significantly different from pH 7.7 to 8.0 for normal breast tissue (2.27 ± 0.35) (P < 0.05), as shown in [Figure 1]a. In addition, the Log D value of lung (nonsmall) cancer tissue at pH 6.5 (2.70 ± 0.23) is significantly different from pH 8.0 of normal lung (nonsmall) tissue (3.42 ± 0.18) (P < 0.05), as shown in [Figure 1]b.
|Figure 1: Distribution of the distribution coefficient values of the different cancer drugs in different environmental pH of various cancer and normal tissue. (a) breast cancer versus normal breast tissue, (b) lung non-small cancer versus normal lung tissue, (c) lung small cancer versus normal lung tissue, (d) kidney cancer versus normal kidney tissue, (e) liver cancer versus normal liver tissue, (f) bone cancer versus normal bone tissue, (g) prostate cancer versus normal prostate tissue. The *indicates significant difference at P < 0.05. Log D: Distribution coefficient|
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Meanwhile, the Log D values of kidney, prostate, liver, lung (small), and bone cancer are comparable with their normal tissue counterparts, as shown in [Figure 1]c, [Figure 1]d, [Figure 1]e, [Figure 1]f, [Figure 1]g.
Comparison of the distribution coefficient values of the cancer drugs in different tissues
The Log D values of bone cancer tissues at pH 4.0–6.8 are significantly different from normal breast tissues at pH 7.7–8, breast cancer tissues from pH 6.3–6.9, normal kidney tissues at pH 7.4–7.5, kidney cancer tissues at pH 6.2–6.8, normal liver tissues at pH 7.0, liver cancer tissues from pH 6.3–6.9, normal nonsmall lung tissue at pH 7.4–8.0, nonsmall lung cancer tissues at pH 6.5–6.7, normal prostate tissues at pH 6.1–6.5, and prostate cancer tissues at 6.4–7.5 (P < 0.05), as shown in [Table 2]. Furthermore, the Log D values of normal bone tissues, at pH 7.2–8.4 are significantly different from normal breast tissues at pH 7.7–8, normal kidney tissues at pH 7.4–7.5, kidney cancer tissues at pH 6.2–6.8, normal liver tissues at pH 7.0, liver cancer tissues from pH 6.3–6.9, normal nonsmall lung tissue at pH 7.4–8.0 and nonsmall lung cancer tissues at pH 6.5–6.7 (P < 0.05), as shown in [Table 2].
The Log D values of small lung cancer tissues, at pH 6.5–6.7 are significantly different (P < 0.05) from normal kidney tissues at pH 7.4–7.5, kidney cancer tissues at pH 6.2–6.8, normal liver tissues at pH 7.0, liver cancer tissues from pH 6.3–6.9, normal nonsmall lung tissue at pH 7.4–8.0, normal nonsmall lung tissues at pH 7.4–8.0, and nonsmall lung cancer tissues at pH 6.5–6.7. In addition, the Log D value of small lung cancer tissue at pH 6.5 is significantly different (P < 0.05) from normal breast tissues at pH 7.7–8. On the other hand, Log D values of normal small lung tissues at pH 7.4–8 are significantly different (P < 0.05) from normal kidney tissues at pH 7.4–7.5, kidney cancer tissues at pH 6.2–6.8, normal liver tissues at pH 7.0, and liver cancer tissues from pH 6.3–6.9. Moreover, at pH 7.4, the Log D value of normal small lung tissue is significantly different (P < 0.05) from normal breast tissues at pH 7.7–8.0, normal nonsmall lung tissues at pH 7.4–8.0, and nonsmall lung cancer tissues at pH 6.5–6.7, as shown in [Table 2].
| Discussion|| |
Log D provides an idea about the distribution and solubility of a certain compound through a lipophilic delivery pathway under a particular pH. In this paper, the Log D of the breast cancer and lung nonsmall cancer were significantly different from the normal tissues, implying that breast and lung nonsmall cancer drugs may have lower permeability to the normal tissues. Hence, they may exhibit a weaker cytotoxic effect. The interaction of a compound to the cell membrane and its permeability has a massive influence on its cytotoxic property. Besides, Log D can be used to predict the permeability of a compound in a nonpolar biological tissue.
In this paper, seven tissues were studied representing different cancer tissues, namely, breast, liver, lung (small), lung (nonsmall), kidney, bone, and prostate. For each tissue, there were different Log D values observed in various experiments: lungs at pH 7.4 is −1.32, liver at pH 7.4 is −0.84–1.63, kidney at pH 7.4 is 1.8, breast at pH 7.4 −1.2–1.75, and prostate at pH 7.4 is −3.81–−1.97.,,,, To the extent of our information, there was no experiment in bone tissues that have measured its Log D value.
Moreover, we found out that the Log D of the bone cancer drugs is significantly different from almost all the predicted Log D of the other tissues. Similarly, the Log D of small cancer tissues is not comparable with the kidney, liver, and nonsmall lung tissues. We hypothesized that cancer drugs used against bone cancer might have weaker unintended effects on the other tissues since their Log D value may not be favorable on the respective pH of the organs. Similarly, these drugs may not be a good candidate for drug repurposing due to the incompatible Log D value at the particular pH of the other organs, which may denote lower permeability. However, there were drugs that did not follow our hypothesis, for they are recommended for different types of cancer with significantly different Log D values for their respective pH. These drugs were goserelin, docetaxel, olaparib, methotrexate, cabozantinib-S, sorafenib, everolimus, lenvatinib, doxorubicin, and paclitaxel. We assessed the oral bioavailability, mode of administration, mechanism of action, and drug clearance rate of these drugs to gain insight into why these drugs did not abide by our hypothesis.
The Log D values of goserelin do not fall within the predicted Log D ranges. Apparently, goserelin violates Lipinski's Ro5, exceeding the molecular weight, hydrogen bond acceptor, hydrogen bond donor, and Log P value, indicating that absorption and bioavailability are most likely to be poor. Consequently, goserelin is given subcutaneously; hence, bypassing the first-pass metabolism, maintaining its concentration. The relatively preserved concentration of the drug delivered to the target tissues may be attributed to its potency. However, since the Log D value of goserelin does not fall within the computed Log D value in the breast and prostate, it may be possible that this compound may not be highly bioavailable in these tissues. Goserelin is a luteinizing hormone-releasing hormone (LHRH) agonist which initially stimulates the release of luteinizing hormone resulting in a transient elevation of androgen (in men) and estradiol (in women). However, the chronic administration of this medication causes the downregulation of LHRH receptors, subsequently inhibiting the release of LH and sex hormones. Due to its ability to inhibit androgen and estradiol, it is mainly used to treat prostate cancer and breast cancer. Interestingly, the Log D values for goserelin are <3, the recommended Log D values for small compounds to permeate the blood–brain barrier (BBB). Since the LHRH agonist acts on the hypothalamus, it quickly passes through the BBB.
The Log D values of docetaxel are outside the predicted Log D ranges. Apparently, docetaxel violates the Lipinski's Ro5, exceeding the molecular weight and hydrogen bond acceptor, indicating that it has a low oral bioavailability. Consequently, docetaxel is typically given intravenously; hence, bypassing the first-pass metabolism, maintaining its concentration. The relatively sustained concentration of the drug delivered to the target tissues may be attributed for its potency. However, since the Log D value of docetaxel does not fall within the computed Log D ranges in the breast, lung (nonsmall), and prostate tissues, it is hypothesized that this compound may not be highly bioavailable in these tissues. A study has shown that the bioavailability of docetaxel is 1025.62 μg/mL h and has a drug clearance of 1.5 mL/min.
The Log P values of olaparib are outside the predicted Log D ranges. It follows the Lipinski's Ro5, having a 434.5 g/mol molecular weight, a Log P of 1.9, 1 hydrogen bond donor, and five hydrogen bond acceptors, indicating that it has high absorption and bioavailability; hence, it is administered orally. However, since the Log D value of olaparib does not fall within the computed Log D ranges in breast cancer tissues and normal prostate tissues, probably, this compound may not be highly bioavailable in these tissues at certain pH. Olaparib is reported to inhibit the poly ADP-ribose polymerase enzyme, an enzyme known to repair DNA damage in both healthy and cancer cells. Its inhibition properties to this enzyme make it difficult for cancers with BRCA1 and BRCA2 mutations to fix DNA damage, making some cancer cells less likely to survive.
Methotrexate sodium deviates outside of the predicted Log D ranges. It also violates Lipinski's Ro5 by having a hydrogen bond acceptor count of 12, exceeding the recommended limit of 10. Nonetheless, methotrexate sodium may be given orally or through parenteral administration. It may be administered alone with leucovorin as a rescue agent to prevent toxicity or in combination with other drugs in treating various cancers. By injecting the drug, its maintained concentration may be responsible for its efficacy toward the target organ. It may also bypass the drug distribution, which may result in toxicity toward the nonspecific target tissues as the drug generally affects all types of cells. Methotrexate targets dividing cells and competitively binds with dihydrofolate reductase, an enzyme needed for DNA synthesis, repair, and cell proliferation, resulting in cell proliferation inhibition. The oral bioavailability of methotrexate is noted to be 36% (±10%), while its bioavailability in the intramuscular injection is 93% (±14%). The drug clearance rate is reported to vary widely yet is usually decreased when induced at high doses. Its toxicity can be attributed to its delayed drug clearance, which can be reduced with the administration of leucovorin as a rescue agent.
Sorafenib tosylate with the molecular weight of 637 g/mol exceeds the desired molecular weight in Lipinski's Rule of Five, which may affect its absorptivity. Despite this violation, the rest of its physicochemical properties fall within the desired range in Lipinski's rule of five, which may explain its oral bioavailability. Since the Log D values of sorafenib tosylate do not fall within the predicted Log D ranges in liver cancer tissues, this compound may not be permeable in these tissues. This predicted Log D contrasts with its bioavailability, which is relatively high (about 38–49% but reduces to 29% in a high-fat diet). Moreover, sorafenib is a kinase inhibitor that prevents tumor growth and angiogenesis in both hepatocellular carcinoma (HCC) and advanced renal cell carcinoma (RCC).
The Log D values of cabozantinib-S malate in liver and kidney cancer are within the predicted Log D ranges. Cabozantinib does not follow Lipinski's Ro5 since it has a 635.6 g/mol molecular weight and an H-bond acceptor of 12. Despite its violation of Lipinski's Ro5, it is still orally administered with a bioavailability ranging from 74% to 93% for capsules and 94% for tablets. In a tumor microenvironment, some cancer cells produce hepatocyte growth factor (HGF), which stimulates and activates the MET pathway promoting the proliferation, migration, invasion, and survival of cancer cells. Cabozantinib is a form of tyrosine kinase inhibitor that exhibits antitumor activity by targeting the MET tyrosine kinase receptor, the receptor for a HGF, inhibiting the angiogenic activity of HGF and tumor progression in liver cancer. Moreover, since cabozantinib modulates the HGF produced by cancer cells, its administration might not affect the undamaged normal liver tissues. One of the pathologic causes for angiogenesis in renal cell carcinoma is the inactivation of Von Hippel-Lindau, which is associated with the overexpression of vascular endothelial growth factor (VEGF) and leads to the activation of hypoxia-inducible factors (HIF-1α and HIF 2α), which stimulate blood vessel formation and promote tumor proliferation and metastasis. There are more than 800 target genes of HIF, and the most important one is VEGF. Therefore, by blocking and preventing the overexpression of VEFG, cabozantinib has been proven helpful in treating kidney cancer such as RCC. As of the present, there are no research claims that cabozantinib affects HGF and VEGF in normal cells.
The Log D values of everolimus (Afinitor) fall outside of the predicted Log D ranges for the kidney and lungs. Everolimus also violates Lipinski's rule of five in three factors: the molecular weight exceeds the 500 Daltons, its hydrogen bond acceptor count at 14, and the Log P value at 5.9. These sets of violations challenge the solubility and bioavailability of the compound when taken orally. Despite these violations, everolimus is still administered orally and used as a second-line treatment for advanced RCC behind sunitinib or sorafenib. Everolimus has also been approved against neuroendocrine tumors (NETs) originating from the lung regions. In the 10 mg recommended dosage, over 75% of everolimus is distributed into the blood cells, and 98% of it is eliminated in the form of metabolites after it is metabolized in the liver and intestines. Outside of other modifying variables, around 0.20–0.15 mg of everolimus is left within the patient's system for actual medical function. Finally, trough levels are ideally maintained at 3–8 ng/ml. However, up to 15 ng/ml values still fall within manageable levels of toxicity. In a situation where everolimus has low bioavailability, even a small amount of the drug, ~20 μmol/l is sufficient to induce autophagy in renal cancer cells. However, it must be noted that 39%–55% of lung cancer patients who use everolimus (10 mg) exhibited lung anomalies.
The Log D values of lenvatinib mesylate fall outside the predicted Log D ranges in the kidney. However, it falls within the Log D ranges in the liver. Lenvatinib mesylate violates Lipinski's Ro5, having a molecular weight of 523 g/mol, slightly exceeding the 500 g/mol. Other than that, all other rules have not been violated. This indicates that there may be low absorption and low bioavailability for this drug, specifically in the kidneys. However, since lenvatinib mesylate falls within the Log D values of the liver, it is hypothesized that this compound may be highly bioavailable in this tissue. It is orally administered, having a peak plasma concentration 1-4 h postdosage, but with the administration with food, the rate of absorption was reduced and delayed for 2 h to 4 h. Lenvatinib mesylate is reported to inhibit VEGS receptors (VEGFR1, VEGFR2, and VEGF3) which subsequently inhibits mechanisms for tumor growth, angiogenesis, and cancer progression. There are not many studies with the specific mechanism of action of lenvatinib mesylate on kidney cancer; however, its approval for kidney cancer treatment seems to be based on an open-label phase II trial. Here, it was reported that 153 patients had renal cell carcinoma and had previously taken medications such as sunitinib which inhibits VEGF. Clinical trials of lenvatinib and its combination with everolimus revealed more toxicity than everolimus alone. Therefore, lenvatinib is mostly used in combination with everolimus patients with advanced RCC after anti-angiogenic therapy for reduced toxicity.,
The Log D values of doxorubicin are outside the predicted Log D ranges. Doxorubicin violates Lipinski's Ro5 due to its molecular weight being 543.5 g/mol, a Hydrogen bond acceptor count of 12, and a hydrogen bond donor count of 6, which may indicate poor absorption and low bioavailability. This instance may explain its intravenous administration, which bypasses the first-pass metabolism to maintain its concentration. The total drug clearance of doxorubicin is relatively low, about 12%, but in the breast, its flow rate is about 30.70 L/h and 0.66 L/h in the kidney. The low total drug clearance of doxorubicin may result in high bioaccumulation long-term. Doxorubicin damages DNA strands with its ability to intercalate within DNA base pairs and inhibit the enzyme topoisomerase II and the DNA and RNA synthesis. It causes the induction of apoptosis.
The Log D values of paclitaxel are mainly outside the Log D ranges. It violates Lipinski's Ro5 for having a molecular weight of 853.9 g/mol and a hydrogen bond acceptor count of 14, which exceeds the desired physicochemical properties. This indicates low permeability and poor solubility. Hence, paclitaxel is typically administered intravenously, preserving its concentration in the systemic circulation. Even though paclitaxel has 89%–98% affinity to plasma in vitro, its drug clearance is low, which is only 1.89 ± 0.15 L/h/kg., With the low drug clearance, this drug may accumulate in the tissues chronically. With paclitaxel being an anti-microtubule agent, it prevents depolymerization by promoting the assembly of microtubules from tubulin dimers. It can polymerize tubulin in the absence of microtubule-associated proteins. In this way, cells cannot form a typical mitotic apparatus due to the blocked cells in the G2/M phase of the cell cycle caused by paclitaxel.
| Conclusion|| |
The use of Log D in screening compounds to discriminate against cancer tissues and noncancer tissues may not be consistent with all types of cancer. Although breast and nonsmall lung cancer drugs show statistically significant Log D for cancer tissues and their noncancer counterpart, the other cancer drugs demonstrate otherwise. We also compared the computed Log D ranges of the different types of cancer. We found that the bone and small lung cancer were significantly different from the other cancer tissues. There are two hypotheses generated from this observation. The first one is that cancer drugs in these organs may have weaker side effects in the other tissues. Second, candidate drugs used in these tissues may not be fit for repurposing the counterpart tissues. We pooled the list of medications and highlighted those which were used in two or more different tissues. We found out that most of these drugs fail to fall within the tissues' computed Log D ranges. Typically, these drugs are not administered orally; hence they maintain their dosage in the systemic circulation. In addition, the potency of these drugs may be attributed to their innate toxicity and mechanism of action. Altogether, our findings may be a helpful reference value for the preliminary screening of lead compounds. However, the certainty of establishing Log D as a parameter to discriminate cancer tissue from normal tissue may not still be evident. Hence, further investigations are needed to confirm our observations.
Limitation of the study
At present, this study only provides a computational prediction of the Log D values of the different chemotherapeutic drugs to streamline drug screening of lead compounds and drug repurposing. Actual experimentation is warranted to validate our result.
No ethical permission for this study was required. No animals and humans were involved in this study.
Availability of data and materials
The full list of approved drugs for various types of cancer can be accessed through the https://www.cancer.gov.
Financial support and sponsorship
Conflicts of interest
There are no conflicts of interest.
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[Table 1], [Table 2]