1
|
Katkova SA, Bunev AS, Gasanov RE, Khochenkov DA, Kulsha AV, Ivashkevich OA, Serebryanskaya TV, Kinzhalov MA. Metal-(Acyclic Diaminocarbene) Complexes Demonstrate Nanomolar Antiproliferative Activity against Triple-Negative Breast Cancer. Chemistry 2024:e202400101. [PMID: 38363795 DOI: 10.1002/chem.202400101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 02/13/2024] [Accepted: 02/15/2024] [Indexed: 02/18/2024]
Abstract
Hydrolytically stable PdII and PtII complexes supported by acyclic diaminocarbene ligands represent a novel class of structural organometallic anticancer agents exhibiting nanomolar antiproliferative activity in a panel of cancer cell lines (IC50 0.07-0.81 μM) and up to 300-fold selectivity for cancer cells over normal primary fibroblasts. The lead drug candidate was 300 times more potent than cisplatin in vitro and showed higher efficacy in reducing the growth of aggressive MDA-MB-231 xenograft tumors in mice.
Collapse
Affiliation(s)
- Svetlana A Katkova
- Saint Petersburg State University, 7/9 Universitetskaya Nab., St. Petersburg, 199034, Russian Federation
| | - Alexander S Bunev
- Medicinal Chemistry Center, Togliatti State University, Belorusskaya 14, Togliatti, 445020, Russian Federation
| | - Rovshan E Gasanov
- Medicinal Chemistry Center, Togliatti State University, Belorusskaya 14, Togliatti, 445020, Russian Federation
| | - Dmitry A Khochenkov
- Medicinal Chemistry Center, Togliatti State University, Belorusskaya 14, Togliatti, 445020, Russian Federation
- Blokhin National Medical Research Center of Oncology, Kashirskoe Shosse 24, 115478, Moscow, Russian Federation
| | - Andrey V Kulsha
- Department of Chemistry, Belarusian State University, Leningradskaya 14, 220006, Minsk, Belarus
| | - Oleg A Ivashkevich
- Research Institute for Physical Chemical Problems, Belarusian State University, Leningradskaya 14, 220006, Minsk, Belarus
| | - Tatiyana V Serebryanskaya
- Research Institute for Physical Chemical Problems, Belarusian State University, Leningradskaya 14, 220006, Minsk, Belarus
| | - Mikhail A Kinzhalov
- Saint Petersburg State University, 7/9 Universitetskaya Nab., St. Petersburg, 199034, Russian Federation
| |
Collapse
|
2
|
Mokhtari Dowlatabad H, Mamdouh A, Yousefpour N, Mahdavi R, Zandi A, Hoseinpour P, Moosavi-Kiasari SMS, Abbasvandi F, Kordehlachin Y, Parniani M, Mohammadpour-Aghdam K, Faranoush P, Foroughi-Gilvaee MR, Abdolahad M. High-Frequency (30 MHz-6 GHz) Breast Tissue Characterization Stabilized by Suction Force for Intraoperative Tumor Margin Assessment. Diagnostics (Basel) 2023; 13:diagnostics13020179. [PMID: 36672989 PMCID: PMC9857665 DOI: 10.3390/diagnostics13020179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 12/28/2022] [Accepted: 12/31/2022] [Indexed: 01/06/2023] Open
Abstract
A gigahertz (GHz) range antenna formed by a coaxial probe has been applied for sensing cancerous breast lesions in the scanning platform with the assistance of a suction tube. The sensor structure was a planar central layer and a metallic sheath of size of 3 cm2 connected to a network analyzer (keySight FieldFox N9918A) with operational bandwidth up to 26.5 GHz. Cancer tumor cells have significantly higher water content (as a dipolar molecule) than normal breast cells, changing their polarization responses and dielectric losses to incoming GHz-based stimulation. Principal component analysis named S11, related to the dispersion ratio of the input signal, is used as a parameter to identify malignant tumor cells in a mouse model (in vivo) and tumor specimens of breast cancer patients (in vitro) (both central and marginal parts). The results showed that S11 values in the frequency range from 5 to 6 GHz were significantly higher in cancer-involved breast lesions. Histopathological analysis was the gold standard for achieving the S11 calibration to distinguish normal from cancerous lesions. Our calibration on tumor specimens presented 82% positive predictive value (PPV), 100% negative predictive value (NPV), and 86% accuracy. Our goal is to apply this system as an in vivo non-invasive tumor margin scanner after further investigations in the future.
Collapse
Affiliation(s)
- Hadi Mokhtari Dowlatabad
- Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran 14399-57131, Iran
| | - Amir Mamdouh
- Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran 14399-57131, Iran
| | - Narges Yousefpour
- Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran 14399-57131, Iran
| | - Reihane Mahdavi
- Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran 14399-57131, Iran
| | - Ashkan Zandi
- Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran 14399-57131, Iran
| | - Parisa Hoseinpour
- Department of Pathology, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran 15179-64311, Iran
| | - Seyed Mohammad Sadegh Moosavi-Kiasari
- Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran 14399-57131, Iran
| | - Fereshte Abbasvandi
- ATMP Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran 15179-64311, Iran
| | - Yasin Kordehlachin
- Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran 14399-57131, Iran
| | - Mohammad Parniani
- Pathology Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran 15179-64311, Iran
| | - Karim Mohammadpour-Aghdam
- Center of Excellence for Applied Electromagnetic Systems, University of Tehran, Tehran 14399-57131, Iran
| | - Pooya Faranoush
- Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran 14399-57131, Iran
- Pediatric Growth and Development Research Center, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran 14496-14535, Iran
| | - Mohammad Reza Foroughi-Gilvaee
- Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran 14399-57131, Iran
- Pediatric Growth and Development Research Center, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran 14496-14535, Iran
| | - Mohammad Abdolahad
- Nano Bioelectronics Devices Lab, Cancer Electronics Research Group, School of Electrical and Computer Engineering, Faculty of Engineering, University of Tehran, Tehran 14399-57131, Iran
- Cancer Electronics Research Center, Tehran University of Medical Sciences, Tehran 14197-33141, Iran
- Correspondence:
| |
Collapse
|
3
|
Dabbagh N, Abbasvandi F, Miripour ZS, Hoseinpour P, Jahanbakhshi F, Moradi A, Riazi H, Moradian F, Zanjani FS, Parniani M, Akbari ME, Abdolahad M. Accuracy of cancer diagnostic probe for intra-surgical checking of cavity side margins in neoadjuvant breast cancer cases: A human model study. Int J Med Robot 2021; 18:e2335. [PMID: 34571582 DOI: 10.1002/rcs.2335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 09/07/2021] [Accepted: 09/22/2021] [Indexed: 11/10/2022]
Abstract
BACKGROUND Background Recently, a real-time system, named cancer diagnostic probe (CDP), has been developed to diagnose the presence of pre-neoplastic/neoplastic cells in breast cavity side margins. Detecting mechanism is real-time determination of the ROS/H2 O2 released from cancer or atypical cells, through reverse Warburg effect and hypoxia glycolysis pathways. AIMS Here, we designed a human model study based on real-time checking of 387 internal margins (IM) from 39 neoadjuvant breast cancer cases by CDP. MATERIALS & METHODS: Each lesion was checked by entered needle sensor and electrical scores were recorded. The permanent pathology result of each tested lesion was our gold standard to evaluate CDP scoring. CDP results were compared with permanent pathology of tumour side margins (as a conventional margin evaluation procedure). RESULTS Results showed that the sensitivity of CDP in scoring the cavity side margins of those cases is 91%. A total of 18 involved IM which had been detected by CDP were declared as free margins in pathology section of tumour side samples. Just five involved IM were missed by CDP. DISCUSSIONS Such sensitivity revealed that metabolism based (here: hypoxia glycolysis) tracing of cancer cells show distinct electrochemical responses between clear and involved cavity side margin evaluation. CONCLUSION This human study showed the promising role of CDP to achieve clear margins after BCS of neoadjuvant cases.
Collapse
Affiliation(s)
- Najmeh Dabbagh
- Nano Bio Electronic Devices Lab, Cancer Electronics Research Group, School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran.,Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereshteh Abbasvandi
- Nano Bio Electronic Devices Lab, Cancer Electronics Research Group, School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran.,ATMP Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran.,SEPAS Pathology Laboratory, Tehran, Iran
| | - Zohreh Sadat Miripour
- Nano Bio Electronic Devices Lab, Cancer Electronics Research Group, School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran
| | - Parisa Hoseinpour
- Nano Bio Electronic Devices Lab, Cancer Electronics Research Group, School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran.,SEPAS Pathology Laboratory, Tehran, Iran
| | - Fahimeh Jahanbakhshi
- ATMP Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran
| | - Afshin Moradi
- Department of Pathology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Hooman Riazi
- Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farid Moradian
- Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | | | - Mohammad Parniani
- SEPAS Pathology Laboratory, Tehran, Iran.,Pathology Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran
| | | | - Mohammad Abdolahad
- Nano Bio Electronic Devices Lab, Cancer Electronics Research Group, School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran.,School of Medicine, Cancer Institute, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran.,UT-TUMS Cancer Electronics Research Center, Tehran, Iran
| |
Collapse
|