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Article

Discovery of N-(Naphtho[1,2-b]Furan-5-Yl) Benzenesulfonamides as Novel Selective Inhibitors of Triple-Negative Breast Cancer (TNBC)

1
State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China
2
Beijing Shenogen Biomedical Co., Ltd, Beijing 102206, China
*
Authors to whom correspondence should be addressed.
Those authors contribute equally to this work.
Molecules 2018, 23(3), 678; https://doi.org/10.3390/molecules23030678
Submission received: 11 February 2018 / Revised: 11 March 2018 / Accepted: 16 March 2018 / Published: 16 March 2018
(This article belongs to the Section Medicinal Chemistry)

Abstract

:
Any type of breast cancer not expressing genes of the estrogen receptor (ER), progesterone receptor (PR), or human epidermal growth factor receptor 2 (HER2) is referred to as triple-negative breast cancer (TNBC). Accordingly, TNBCs do not respond to hormonal therapies or medicines targeting the ER, PR, or HER2. Systemic chemotherapy is therefore the only treatment option available today and prognoses remain poor. We report the discovery and characterization of N-(naphtho[1,2-b]furan-5-yl)benzenesulfonamides as selective inhibitors of TNBCs. These inhibitors were identified by virtual screening and inhibited different TNBC cell lines with IC50 values of 2–3 μM. The compounds did not inhibit normal (i.e. MCF-7 and MCF-10A) cells in vitro, indicating their selectivity against TNBC cells. Considering the selectivity of these inhibitors for TNBC, these compounds and analogs can serve as a promising starting point for further research on effective TNBC inhibitors.

Graphical Abstract

1. Introduction

Breast cancer is the most common malignancy and second leading cause of cancer death among women in the United States [1]. As in most countries, breast cancer is the most common cancer in Chinese women today. Cases in China account for 12.2% of all newly diagnosed breast cancers and for 9.6% of all deaths from breast cancer worldwide [2]. Based on DNA microarray expression profiling, breast cancers can be classified into six different subtypes [3,4,5,6,7,8]: luminal A, luminal B, human epidermal growth factor receptor-2 (HER2)-overexpressing, normal breast tissue-like, basal-like, and claudin-low breast cancers. These subtypes respond differently to therapy and are associated with different outcomes, with the shortest survival times seen in patients with basal-like and HER2-overexpressing subtypes [4,5,9].
Triple-negative breast cancer (TNBC) is an aggressive clinical phenotype characterized by the lack of expression (or minimal expression) of the estrogen receptor (ER) and progesterone receptor (PR) as well as the absence of the human epidermal growth factor receptor-2 (HER2). TNBCs comprise a heterogeneous subgroup of tumors, including but not limited to those classified by expression profiling as basal-like and claudin-low subtypes. TNBCs account for about 15% of all breast cancers [7,8,9,10]. Unlike patients suffering from ER/PR-positive or HER2-overexpressing cancers, treatment options for patients with TNBC are currently limited to systemic cytotoxic chemotherapy [11]. The overall survival rates of TNBC patients are lower than those of patients suffering from other phenotypes of breast cancer (in both early and advanced stages) [12,13]. These facts highlight the urgent need for effective medicines for the treatment of TNBCs.
Currently, compounds targeting the vascular endothelial growth factor (VEGF), poly (ADP-ribose) polymerase (PARP), HSP90, and aurora kinase are under investigation in clinical trials as therapeutics for metastatic TNBCs [14]. Herein, we report the computer-guided discovery of N-(naphtho[1,2-b]furan-5-yl)benzenesulfonamides as effective and selective inhibitors of TNBCs. These compounds serve as starting points for the development of effective drugs.

2. Results and Discussion

2.1. Three-Dimensional Similarity Search and Bioassays

Estrogens are known to stimulate cell proliferation and increase the risk of the development of several different types of cancers, in particular breast and uterus cancers [15]. In order to identify novel inhibitors of breast cancers, we employed similarity-based computational approaches to search the SPECS compound library (http://www.specs.net/, accessed by May 2014) for candidate compounds. 17β-estradiol and IC-163 (Figure 1), a potential agent for breast cancer identified by Beijing Shenogen Biomedical Co. [16], were chosen as query molecules for 3D similarity search (Figure 2).
In total, approximately 200 k compounds were screened with ROCS, an alignment-based virtual screening engine quantifying the similarity of pairs of molecules based on their molecular shapes and chemical features [17,18]. The most interesting compounds (selected by visual inspection) were re-ranked with EON (version 2.2.0, OpenEye Scientific Software Inc., Santa Fe, NM, USA) to evaluate compound similarity with regard to electrostatics. EON quantifies the similarity between pairs of molecules based on their electrostatic potential maps. Comparison with EON resulted in rank-ordered list of 435 candidate molecules, which was further reduced by clustering with ECFP_6 and FCFP_6 fingerprints. In total, 32 candidate compounds (Figure S1) were selected by visual inspection (taking into account calculated aqueous solubility) and purchased from SPECS for experimental evaluation. Twenty-five of the selected compounds originate from 17β-Estradiol as query and seven from IC-163.
The inhibition rates of these 32 compounds were measured on the TNBC cell lines MDA-MB-231 and SUM-159, as well as the non-TNBC breast cancer cell line MCF-7 (Figure S2). The most interesting compounds identified among those 32 candidates were B09 and C10. Compound B09, identified by similarity search using 17β-estradiol as query, inhibited MCF-7 cells with IC50 = 1.45 μM and had almost no growth-inhibitory effect on MDA-MB-231 and SUM-159. 17β-Estradiol is an endogenous molecule directly interacting with the estrogen receptor. This may explain why B09 only inhibited MCF-7 cells. B09 is structurally related to 17β-estradiol not only with respect to its 3D shape but also its 2D structure (Figure 3). On the contrary, C10 showed good inhibition of TNBC cell lines (IC50 = 2.32 μM for MDA-MB-231; IC50 = 3.45 μM for SUM-159) but low inhibition of MCF-7 cells (IC50 = 20 μM; Table 1). Its chemical structure is similar to that of IC-163 with respect to the 3D molecular shape and electrostatic properties (ShapeTanimoto coefficient = 0.817; EON_ShapeTanimoto coefficient = 0.784, where values of 1 denote compounds with identical properties) but not with respect to the 2D structure (Figure 3).

2.2. Hit Follow-up and Expansion

2D similarity search based on ECFP_6 and FCFP_6 was conducted to identify further purchasable analogs of C10 for experimental evaluation. A total of 12 analogs of C10 were purchased from SPECS and tested on MDA-MB-231 and SUM-159 cell lines. The measured inhibition rates are reported in Figure S3. All compounds were initially tested only with two TNBC cell lines for cell viability at 5 μg/mL. Following this test, the inhibitory activity of any compounds with inhibition rates above 30% at 5 μg/mL (eight compounds) were tested on four TNBC cell lines and one non-TNBC cell line MCF-7 (Table 2). All eight compounds inhibited MDA-MB-231 and MDA-MB-453 cells with IC50 values lower than 10 μM. Most compounds inhibited SUM-159 and BT-20 cells with IC50 values greater than 10 μM; seven of these compounds inhibited MCF-7 cells with IC50 values greater than 40 μM. Among them, Compounds 2-5 and 2-8 exhibited the strongest inhibitory effect on all tested TNBC cell lines and had no inhibitory effect on MCF-7.
All these compounds are based on a N-(naphthalen-1-yl)benzenesulfonamide scaffold (Figure 4), with different decorations in para position of the benzenesulfonamide and/or the substituent at the naphthalene ring. Compounds C10, 2-1, 2-3, 2-6, and 2-7 are known inhibitors of myeloid cell leukemia 1 (Mcl-1) [19]. Compound 2-11 is an antimalarial heme detoxification protein (HDP) inhibitor [20], and 2-9 is an antitumor agent with inhibition of signal transducer and activator of transcription 3 (STAT3) [21,22]. We did not identify literature on the bioactivity of 2-5 and 2-8. In terms of molecular structure, 2-5 and 2-8 clearly differ from other compounds of that series. They are decorated with a naphtho[1,2-b]furan in para position of the benzenesulfonamide. Compound 2-5 is a methyl carboxylate, while 2-8 is an ethyl carboxylate. Due to structural novelty and good bioactivity, 2-5 and 2-8 were selected for another iteration of hit expansion based on 2D similarity search.
A total of 40 analogs of 2-5 and 2-8 were purchased from SPECS and tested on MDA-MB-231, SUM-159, and MCF-7 cells (Figure S4). Twenty-four of these analogs did not exhibit activity (any compounds with an inhibition rate above 50% were considered to be active). One compound (3-12) inhibited all three of the cell lines, while 3-9, 3-17, 3-18, 3-20, and 3-37 only had an effect on two TNBC cell lines. Eleven compounds inhibited one TNBC cell line. Compounds with substitutions in para position of the benzenesulfonamide tended to be more active (Table 3 and Table 4). All tested compounds with R3 = methyl and R1 = ethoxy were active against TNBC, regardless of the length of R2. Compounds with a large substituent in R2 tended to be less active on SUM-159 cells. Compounds with R1 = ethyl were more active on MDA-MB-231 with R2 = methoxy than R2 = ethoxy. Compounds with a methoxy substituent in R2 were inactive on SUM-159. Replacement of the methyl moiety at R3 by a phenyl ring (e.g., 3-11 to 3-22) or other groups (e.g., 2-8 to 3-28) did not result in substantial changes in activity against the three cell lines, indicating that the substituent at the R3 position is likely less relevant for TNBC inhibition. Compounds with an isopropyl or chlorine substituent in R1 showed low activity on MDA-MB-231 and no activity on SUM-159 cells. When (1) R3 was methyl, (2) R2 was methoxy or ethoxy and (3) R1 was methyl, ethyl, methoxy, ethoxy, or fluorine, almost all compounds of this combination had different levels of inhibitory activities on both TNBC cell lines.
Compounds with more than one substituent or a fused ring system in the position of the phenyl ring of the benzenesulfonamide tended to have poor bioactivity (Table 4). The compounds available from SPECS and tested within the scope of this study only cover two or three methyl groups at different position of the benzene; other substituent groups like two or three methoxy groups were not measured. In addition, a compound including a tetracycline moiety (3-21) exhibited a low inhibitory activity on TNBC cells (Table S1).
Ten compounds with good inhibition rates on both TNBC cell lines were selected for the measurement of IC50 values on MDA-MB-231 and SUM-159 cell lines. However, the aqueous solubility of these compounds is poor. Hydrolysis of the ester in the R2 position is expected to result in improved water solubility while maintaining biological activity. Therefore, we hydrolyzed 2-5 by refluxing it for two days under alkaline condition in the presence of an aqueous solution with potassium hydroxide and tetrahydrofuran (Scheme 1) to obtain 2-5-COOH.
Most of the tested compounds inhibited both TNBC cell lines with similar strength (Table 5). Compound 2-5-COOH had an approximately 10-fold reduced inhibitory activity compared to the ester compound (2-5). Its IC50 values were greater than 20 μM for both cell lines.
Seven of the most potent compounds were chosen for evaluation of their bioactivity in further cell lines. In addition to three TNBC cell lines (MDA-MB-231, MDA-MB-436, and SUM-159) and the breast cancer cell line MCF-7, we employed the normal mammary epithelial cell line MCF-10A, which was used for testing the compounds for their effects on normal breast cells (Table 6). The results show that most of the compounds exhibited a weak inhibition of MCF-10A cells. Compound 3-17, the most potent TNBC inhibitor identified in this study, also had the strongest inhibition on MCF-10A (IC50 = 0.66 μM). Thus, 3-17 may be less promising for the treatment of TNBC.
From a molecular structure point of view, the main differences of these compounds are the substituents of the phenyl ring of the benzenesulfonamide (2-5, 2-8, 3-3, and 3-12 are methoxy; 3-9, 3-17, and 3-37 are ethoxy), and/or naphtho[1,2-b]furan (Figure 5). Six compounds are esters, and Compound 3-17 is a ketone. Calculations suggest that 3-3 and 3-12 are less soluble in water, probably because of their longer carbon alkyl substituents (Table 6).

3. Materials and Methods

3.1. Overall Protocol

3D screening methods taking into account the molecular shape and electrostatic maps of molecules were employed to identify compounds of interest in the SPECS compound library. Compounds were selected for purchase and experimental testing in cell-based assays taking into account their calculated aqueous solubility and structural diversity (assessed by a cluster analysis). An iterative 2D similarity search was conducted to follow up on active compounds and identify (further) derivatives for testing (Figure 6).

3.2. Three-Dimensional Similarity Search

The SPECS compound library (http://www.specs.net/, accessed May 2014) was prepared with a workflow developed with Pipeline Pilot v7.5 (PP 7.5, Accelrys Software, Inc., San Diego, CA, USA.), in which minor salt components were removed and the chemical structures standardized. The prepared database was filtered with “Blockbuster” filter of FILTER (version 2.2.1, OpenEye Scientific Software, Inc., Santa Fe, NM, USA) to remove molecules with undesired physicochemical properties with respect to molecular weight, number of heavy atoms, and aqueous solubility. Next, the databases were processed with OMEGA [23] (version 2.4.5, OpenEye Scientific Software, Inc., Santa Fe, NM, USA) to generate up to 500 conformations for each molecule.
ROCS [17,24] (version 3.2.0, OpenEye Scientific Software Inc., Santa Fe, NM, USA) was employed for 3D shape comparison. The lowest energy conformers of 17β-estradiol and IC-163 generated with OMEGA served as input for screening with ROCS. EON was employed to re-rank the top-ranked molecules obtained with ROCS based on the similarity of electrostatic properties.

3.3. Water Solubility Prediction and Structure Cluster Analysis

Water solubility at 25 °C was calculated with the ADMET solubility prediction module of Discovery Studio 2.5 (Accelrys Software, Inc., San Diego, CA, USA). We removed molecules with ADMET solubility level in 0 (extremely low) and 1 (very low) to ensure that the chosen compounds have acceptable solubility. The remaining compounds were clustered based on ECFP_6 and FCFP_6 fingerprints to assist the selection of compounds for experimental testing.

3.4. Two-Dimensional Similarity Search

The most promising compounds, C10, 2-5, and 2-8, served as templates for 2D similarity search based on ECFP_6 or FCFP_6 fingerprints.

3.5. Cell Viability Assays

Four human TNBC cell lines (MDA-MB-231, MDA-MB-453, SUM-159, and BT-20), a non-TNBC breast cancer cell line (MCF-7) and a normal mammary epithelial cell line (MCF-10A) were cultured with DMEM (phenol free) supplemented with 2.5% CS-FBS and 1% l-Glu. 1.2 × 103 of cells were seeded into 384-well microplates and maintained for 24 h in an incubator at 37 °C in a 5% CO2, saturated humidified atmosphere. Different compounds were added into cells with 9 concentrations from 0.156 to 40 μM for 72 h. Tamoxifen was the positive control. Then CCK-8 solution was added into cells and incubated for another 4 h. Absorbance was measured with a Microplate Reader at 450/600 nm. The IC50 values of the compounds on TNBC cell lines were derived using GraphPad Prism 5.0 (GraphPad Software, Inc., La Jolla, CA, USA).

4. Conclusions

3D and 2D similarity searches led to the identification of N-(naphtho[1,2-b]furan-5-yl)benzenesulfonamides as novel inhibitors of TNBCs. The most potent compounds (2-5 and 2-8) obtained IC50 values of 2–3 μM on different TNBC cell lines and showed no inhibitory activity on normal (i.e. MCF-7 and MCF-10A) cells in vitro, indicating their selectivity against TNBC cells. These compounds and derivatives thereof could serve as starting points for further research and development of selective TNBC inhibitors.

Supplementary Materials

The following are available online. Figure S1: Structures of 32 compounds from 3D similarity search; Figure S2: Inhibition rates of 32 compounds at 10 μM from 3D similarity search; Figure S3: Inhibition rates of 12 compounds at 5 μg/mL from C10 2D similarity search; Figure S4: Inhibition rates of 40 compounds at 5 μg/mL from Compounds 2-5 and 2-8 2D similarity search; Table S1: Inhibition rates of analogs of 2-5 and 2-8 identified by 2D similarity search (Part 3).

Acknowledgments

This work was supported by the National Natural Science Foundation of China [grant numbers 21772005 and 21572010].

Author Contributions

Z.L., L.Z. Y.C. and Y.T. conceived and designed the research; Y.C. performed the computational experiments, wrote the paper, and prepared the data, figures, and tables. Y.C., Y.T. and H.J. analyzed the data. Y.T. performed the bioassays; B.M. and W.L. synthesized the compounds; Z.L., L.Z. and H.J. commented and revised on the manuscript. All authors approved the final version of the manuscript.

Conflicts of Interest

The authors declare that they have no conflict of interests.

Abbreviations

TNBC
triple-negative breast cancer
ER
estrogen receptor
PR
progesterone receptor
HER2
human epidermal growth factor receptor 2
VEGF
the vascular epidermal growth factor
3D
three-dimensional
ROCS
Rapid Overlay of Chemical Structures
2D
two-dimensional
ECFP_6
extended connectivity fingerprints of maximum diameter 6
FCFP_6
function class fingerprints of maximum diameter 6

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Sample Availability: Samples of the compounds 2-5, 2-8, 3-1 to 3-40 are available from the authors.
Figure 1. Chemical structure of IC-163.
Figure 1. Chemical structure of IC-163.
Molecules 23 00678 g001
Figure 2. Scheme for three-dimensional virtual screening.
Figure 2. Scheme for three-dimensional virtual screening.
Molecules 23 00678 g002
Figure 3. (A) Structures of 17β-estradiol, B09, IC-163 and C10; (B) Structure alignment of B09 with 17β-estradiol and of C10 with IC-163.
Figure 3. (A) Structures of 17β-estradiol, B09, IC-163 and C10; (B) Structure alignment of B09 with 17β-estradiol and of C10 with IC-163.
Molecules 23 00678 g003
Figure 4. Structures of 12 compounds resulting from a similarity search based for C10.
Figure 4. Structures of 12 compounds resulting from a similarity search based for C10.
Molecules 23 00678 g004
Scheme 1. Hydrolysis route of Compound 2-5 to Compound 2-5-COOH.
Scheme 1. Hydrolysis route of Compound 2-5 to Compound 2-5-COOH.
Molecules 23 00678 sch001
Figure 5. Structures of compounds in Table 6.
Figure 5. Structures of compounds in Table 6.
Molecules 23 00678 g005
Figure 6. Workflow of virtual screening and bioassays.
Figure 6. Workflow of virtual screening and bioassays.
Molecules 23 00678 g006
Table 1. Activities of B09 and C10 measured on different cell lines.
Table 1. Activities of B09 and C10 measured on different cell lines.
CompoundIC50 (μM)
MDA-MB-231SUM-159MCF-7
B09~20>401.45
C102.323.4520
Table 2. Activities of eight analogs of C10 measured on different cell lines.
Table 2. Activities of eight analogs of C10 measured on different cell lines.
CompoundIC50 (μM)
MDA-MB-231MDA-MB-453SUM-159BT-20MCF-7
Tamoxifen2.033.6413.488.549.08
IC-163>40>40>40>40>40
C105.342.3011.1310.639.38
2-14.363.1930.7613.3413.97
2-37.998.59>40>40>40
2-53.122.952.91>40>40
2-64.973.3619.2125.02>40
2-73.953.65>40>40>40
2-82.963.092.5010.10>40
2-96.224.6118.06>40>40
2-116.925.72>40>40>40
Table 3. Inhibition rates of analogs of 2-5 and 2-8 identified by 2D similarity search (Part 1).
Table 3. Inhibition rates of analogs of 2-5 and 2-8 identified by 2D similarity search (Part 1).
Molecules 23 00678 i001
CompoundR1R2R3Inhibition%
MDA-MB-231SUM-159MCF-7
3-17-OCH2CH3-CH3-CH368.56760.95640.549
3-8-CH2CH3-OH-CH3−1.1310.221−6.706
3-32-CH(CH3)2-OH-CH324.718−0.964−7.568
3-1-Cl-OH-CH331.450−0.754−12.178
3-9-OCH2CH3-OCH3-CH363.00860.77824.251
3-37-OCH2CH3-OCH2CH3-CH359.68766.78942.503
3-23-OCH2CH3-OCH2CH2OCH3-CH362.01449.12714.707
3-20-CH2CH3-OCH3-CH353.48665.43931.221
3-11-CH2CH3-OCH2CH3-CH341.1150.17513.005
3-22-CH2CH3-OCH2CH3-Ph53.616−0.5562.238
3-4-CH(CH3)2-OCH3-CH337.770−0.31914.222
3-31-CH(CH3)2-OCH2CH3-CH332.074−1.3302.952
3-30-H-OCH3-CH350.8720.86229.311
3-14-CH3-OCH3-CH362.84348.21410.194
2-5-OCH3-OCH3-CH331.00556.793-
3-10-F-OCH3-CH364.47735.46634.480
3-33-Cl-OCH3-CH332.822−0.5072.819
3-29-Br-OCH3-CH345.0391.324314.480
3-34-COOH-OCH3-CH310.991−0.0422.848
3-26-H-OCH2Ph-CH351.0361.58125.556
3-36-CH3-OCH2CH3-CH316.752−0.123−4.385
2-8-OCH3-OCH2CH3-CH362.93661.771-
3-3-OCH3-OCH2CH2CH2CH3-CH351.14542.06429.745
3-25-OCH3-OCH2CH2CH2CH2CH3-CH339.50561.90248.321
3-28-OCH3-OCH2CH3-CH2CH2CH361.91146.00033.448
3-12-OCH3-OCH3-C(CH3)371.37890.38676.319
3-39-F-OCH(CH3)2-CH342.330−0.1934.948
3-13-COOH-OCH2CH3-CH319.635−0.6355.137
3-40-COOH-OCH2CH3-CH2CH2CH312.4870.0002.525
Table 4. Inhibition rates of analogs of 2-5 and 2-8 identified by 2D similarity search (Part 2).
Table 4. Inhibition rates of analogs of 2-5 and 2-8 identified by 2D similarity search (Part 2).
Molecules 23 00678 i002
CompoundR4R2Inhibition%
MDA-MB-231SUM-159MCF-7
3-27 Molecules 23 00678 i003-OCH348.15310.20535.546
3-7 Molecules 23 00678 i004-OCH30.4310.085−4.733
3-6 Molecules 23 00678 i005-OCH2CH343.3650.2927.724
3-5 Molecules 23 00678 i006-OCH341.0650.75721.98
3-15 Molecules 23 00678 i007-OCH345.5840.03718.546
3-38 Molecules 23 00678 i008-OCH350.5581.34614.827
3-24 Molecules 23 00678 i009-OCH346.5630.23334.910
3-16 Molecules 23 00678 i010-OCH2CH348.1710.73243.439
3-35 Molecules 23 00678 i011-OCH2CH333.8530.35224.499
3-2 Molecules 23 00678 i012-OCH2CH324.255−0.88417.700
3-19 Molecules 23 00678 i013-OH19.3060.38016.340
3-18 Molecules 23 00678 i014-OCH359.42151.42533.244
Table 5. IC50 for compounds measured on two TNBC cell lines.
Table 5. IC50 for compounds measured on two TNBC cell lines.
CompoundIC50 (μM)
MDA-MB-231SUM-159
2-53.122.91
2-82.962.50
3-33.258.66
3-92.682.66
3-1211.9111.53
3-171.771.94
3-185.2024.15
3-2010.0416.97
3-28>4014.41
3-375.494.09
2-5-COOH~2424.25
Table 6. IC50 of compounds measured on different cell lines and calculated molecular properties.
Table 6. IC50 of compounds measured on different cell lines and calculated molecular properties.
CompoundIC50 (μM)Calculated Molecular Properties
MDA-MB-231MDA-MB-436SUM-159MCF-7MCF-10AMolecular_WeightAlogPADMET_Solubility_level
Tamoxifen2.0310.0213.489.08>40371.56.3191
2-53.121.992.91>40>40425.53.5142
2-82.962.802.50>40>40439.53.8632
3-33.253.368.66ND a>40467.54.8421
3-92.682.082.66ND>40439.53.8632
3-1211.917.1311.53ND>40467.55.0631
3-171.77~0.011.94ND0.66423.53.7472
3-375.491.414.09ND> 40453.54.2112
ND a: not determined.

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Chen, Y.; Tang, Y.; Mao, B.; Li, W.; Jin, H.; Zhang, L.; Liu, Z. Discovery of N-(Naphtho[1,2-b]Furan-5-Yl) Benzenesulfonamides as Novel Selective Inhibitors of Triple-Negative Breast Cancer (TNBC). Molecules 2018, 23, 678. https://doi.org/10.3390/molecules23030678

AMA Style

Chen Y, Tang Y, Mao B, Li W, Jin H, Zhang L, Liu Z. Discovery of N-(Naphtho[1,2-b]Furan-5-Yl) Benzenesulfonamides as Novel Selective Inhibitors of Triple-Negative Breast Cancer (TNBC). Molecules. 2018; 23(3):678. https://doi.org/10.3390/molecules23030678

Chicago/Turabian Style

Chen, Ya, Yong Tang, Beibei Mao, Wenchao Li, Hongwei Jin, Liangren Zhang, and Zhenming Liu. 2018. "Discovery of N-(Naphtho[1,2-b]Furan-5-Yl) Benzenesulfonamides as Novel Selective Inhibitors of Triple-Negative Breast Cancer (TNBC)" Molecules 23, no. 3: 678. https://doi.org/10.3390/molecules23030678

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