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Jozwik M, Bednarczuk K, Osierda Z, Wojtkiewicz J, Kocik J, Jozwik M. A Case Report of an Adenomatoid Tumor of the Fallopian Tube: The Histopathologic Challenges and a Review of the Literature. J Clin Med 2025; 14:813. [PMID: 39941483 PMCID: PMC11818456 DOI: 10.3390/jcm14030813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2024] [Revised: 01/19/2025] [Accepted: 01/24/2025] [Indexed: 02/16/2025] Open
Abstract
Background: Adenomatoid tumor (AT) is a rare benign neoplasm of mesothelial origin, which mainly occurs in the male and female genital tracts. The most common site for AT occurrence in women is the uterus, which makes the presentation in the fallopian tube(s) a rarity with an incidence of approximately 0.5%. The reported extragenital sites include serosal surfaces, adrenal glands, and visceral organs, are even less common. Macroscopically, ATs present as white-grayish or yellowish irregular yet circumscribed firm nodules, often containing cystic components. Owing to a vast array of histomorphological growth patterns, ATs tend to mimic malignancy and trigger overresection. Such clinical situations have been described by several studies for the ovaries, uterus, and fallopian tubes, underlining the importance of differential diagnosis in order to avoid superfluous treatment. Methods: Herein, we report a presentation of an AT at the oviductal lumen, detected incidentally during prophylactic bilateral salpingo-oophorectomy in a 67-year-old patient with a BRCA1 mutation. Results: Immunohistochemical staining revealed a positive expression for calretinin, WT1, and cytokeratin 7, and negative expression for both PAX8 and CD34, thus confirming the diagnosis of AT and excluding tubal malignancy. Conclusions: This report, with a concise review of the global literature on tubal AT, brings attention to the solitary and asymptomatic nature of the tumor. With a clear diagnosis, no surgical radicality is necessary.
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Affiliation(s)
- Marcin Jozwik
- Department of Gynecology and Obstetrics, Collegium Medicum, University of Warmia and Mazury, 10-045 Olsztyn, Poland
| | - Katarzyna Bednarczuk
- Scientific Circle of the Department of Gynecology and Obstetrics, 10-718 Olsztyn, Poland
| | - Zofia Osierda
- Scientific Circle of the Department of Gynecology and Obstetrics, 10-718 Olsztyn, Poland
| | - Joanna Wojtkiewicz
- Department of Human Physiology and Pathophysiology, School of Medicine, University of Warmia and Mazury, 10-082 Olsztyn, Poland
| | - Janusz Kocik
- Clinical Hospital of Ministry of Interior with Warmia-Mazury Cancer Center, 10-718 Olsztyn, Poland
- School of Public Health, Center of Medical Postgraduate Education, 00-416 Warsaw, Poland
| | - Maciej Jozwik
- Department of Gynecology and Gynecologic Oncology, Medical University of Białystok, 15-276 Białystok, Poland;
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Fathi Kazerooni A, Kraya A, Rathi KS, Kim MC, Vossough A, Khalili N, Familiar AM, Gandhi D, Khalili N, Kesherwani V, Haldar D, Anderson H, Jin R, Mahtabfar A, Bagheri S, Guo Y, Li Q, Huang X, Zhu Y, Sickler A, Lueder MR, Phul S, Koptyra M, Storm PB, Ware JB, Song Y, Davatzikos C, Foster JB, Mueller S, Fisher MJ, Resnick AC, Nabavizadeh A. Multiparametric MRI along with machine learning predicts prognosis and treatment response in pediatric low-grade glioma. Nat Commun 2025; 16:340. [PMID: 39747214 PMCID: PMC11697432 DOI: 10.1038/s41467-024-55659-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2024] [Accepted: 12/19/2024] [Indexed: 01/04/2025] Open
Abstract
Pediatric low-grade gliomas (pLGGs) exhibit heterogeneous prognoses and variable responses to treatment, leading to tumor progression and adverse outcomes in cases where complete resection is unachievable. Early prediction of treatment responsiveness and suitability for immunotherapy has the potential to improve clinical management and outcomes. Here, we present a radiogenomic analysis of pLGGs, integrating MRI and RNA sequencing data. We identify three immunologically distinct clusters, with one group characterized by increased immune activity and poorer prognosis, indicating potential benefit from immunotherapies. We develop a radiomic signature that predicts these immune profiles with over 80% accuracy. Furthermore, our clinicoradiomic model predicts progression-free survival and correlates with treatment response. We also identify genetic variants and transcriptomic pathways associated with progression risk, highlighting links to tumor growth and immune response. This radiogenomic study in pLGGs provides a framework for the identification of high-risk patients who may benefit from targeted therapies.
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Affiliation(s)
- Anahita Fathi Kazerooni
- Center for Data-Driven Discovery in Biomedicine (D3b), The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
- AI2D Center for AI and Data Science for Integrated Diagnostics, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Neurosurgery, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
| | - Adam Kraya
- Center for Data-Driven Discovery in Biomedicine (D3b), The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Komal S Rathi
- Center for Data-Driven Discovery in Biomedicine (D3b), The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Meen Chul Kim
- Center for Data-Driven Discovery in Biomedicine (D3b), The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Arastoo Vossough
- Center for Data-Driven Discovery in Biomedicine (D3b), The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Division of Radiology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Nastaran Khalili
- Center for Data-Driven Discovery in Biomedicine (D3b), The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Ariana M Familiar
- Center for Data-Driven Discovery in Biomedicine (D3b), The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Deep Gandhi
- Center for Data-Driven Discovery in Biomedicine (D3b), The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Neda Khalili
- Center for Data-Driven Discovery in Biomedicine (D3b), The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Varun Kesherwani
- Center for Data-Driven Discovery in Biomedicine (D3b), The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Debanjan Haldar
- Center for Data-Driven Discovery in Biomedicine (D3b), The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, USA
| | - Hannah Anderson
- Center for Data-Driven Discovery in Biomedicine (D3b), The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Run Jin
- Center for Data-Driven Discovery in Biomedicine (D3b), The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Aria Mahtabfar
- Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, USA
| | - Sina Bagheri
- Center for Data-Driven Discovery in Biomedicine (D3b), The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Yiran Guo
- Center for Data-Driven Discovery in Biomedicine (D3b), The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Qi Li
- Center for Data-Driven Discovery in Biomedicine (D3b), The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Xiaoyan Huang
- Center for Data-Driven Discovery in Biomedicine (D3b), The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Yuankun Zhu
- Center for Data-Driven Discovery in Biomedicine (D3b), The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Alex Sickler
- Center for Data-Driven Discovery in Biomedicine (D3b), The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Neurosurgery, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Matthew R Lueder
- Center for Data-Driven Discovery in Biomedicine (D3b), The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Neurosurgery, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Saksham Phul
- Center for Data-Driven Discovery in Biomedicine (D3b), The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Mateusz Koptyra
- Center for Data-Driven Discovery in Biomedicine (D3b), The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Phillip B Storm
- Center for Data-Driven Discovery in Biomedicine (D3b), The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Neurosurgery, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Jeffrey B Ware
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Yuanquan Song
- Department of Pathology and Laboratory Medicine, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Raymond G. Perelman Center for Cellular and Molecular Therapeutics, University of Pennsylvania, Philadelphia, PA, USA
| | - Christos Davatzikos
- AI2D Center for AI and Data Science for Integrated Diagnostics, University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jessica B Foster
- Division of Oncology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Sabine Mueller
- Department of Neurology and Pediatrics, University of California San Francisco, San Francisco, CA, USA
| | - Michael J Fisher
- Division of Oncology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Adam C Resnick
- Center for Data-Driven Discovery in Biomedicine (D3b), The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Neurosurgery, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Ali Nabavizadeh
- Center for Data-Driven Discovery in Biomedicine (D3b), The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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Ren LL, Song YR, Song ZC, Yang H, Zhang Q, Ji MM, Xiao N, Wen M, Wang JH. Enhancing antitumor activity of herceptin in HER2-positive breast cancer cells: a novel DNMT-1 inhibitor approach. Discov Oncol 2024; 15:640. [PMID: 39527385 PMCID: PMC11555163 DOI: 10.1007/s12672-024-01508-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2024] [Accepted: 11/01/2024] [Indexed: 11/16/2024] Open
Abstract
HER2 antagonists remain the cornerstone of therapy for patients with HER2-positive breast cancer. This study introduces a novel small-molecule inhibitor of DNA methyltransferase 1 (DNMT-1), referred to as DI-1, designed to synergize with HER2 antagonists in treating HER2-positive breast cancer cells. Clinical data reveal a negative correlation between DNMT-1 expression and PTEN levels, and a positive correlation with the methylation rates of PTEN's promoter. In experiments with SKBR3 and BT474 cells, DI-1 effectively reduced the methylation of PTEN's promoter region, thereby upregulating PTEN expression. This upregulation, in turn, enhanced the cells' sensitivity to HER2 antagonists, indicating that DI-1's mechanism involves inhibiting DNMT-1's recruitment to PTEN's promoter region. Consequently, by increasing PTEN expression, DI-1 amplifies the sensitivity of HER2-positive breast cancer cells to treatment, suggesting its potential as a promising therapeutic strategy in this context.
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Affiliation(s)
- Li-Li Ren
- Hebei Key Laboratory of Cancer Radiotherapy and Chemotherapy, Department of Medical Oncology, Affiliated Hospital of Hebei University, Baoding, 071000, Hebei Province, People's Republic of China
| | - Yan-Ru Song
- Hebei Key Laboratory of Cancer Radiotherapy and Chemotherapy, Department of Medical Oncology, Affiliated Hospital of Hebei University, Baoding, 071000, Hebei Province, People's Republic of China
| | - Zhen-Chuan Song
- Department of Breast Center, Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei Province, People's Republic of China
| | - Hua Yang
- Hebei Key Laboratory of Cancer Radiotherapy and Chemotherapy, Department of Medical Oncology, Affiliated Hospital of Hebei University, Baoding, 071000, Hebei Province, People's Republic of China.
| | - Qian Zhang
- Hebei Key Laboratory of Cancer Radiotherapy and Chemotherapy, Department of Medical Oncology, Affiliated Hospital of Hebei University, Baoding, 071000, Hebei Province, People's Republic of China
| | - Meng-Meng Ji
- Hebei Key Laboratory of Cancer Radiotherapy and Chemotherapy, Department of Medical Oncology, Affiliated Hospital of Hebei University, Baoding, 071000, Hebei Province, People's Republic of China
| | - Na Xiao
- Hebei Key Laboratory of Cancer Radiotherapy and Chemotherapy, Department of Medical Oncology, Affiliated Hospital of Hebei University, Baoding, 071000, Hebei Province, People's Republic of China
| | - Ming Wen
- Department of Surgery, the Affiliated Hospital of Hebei University, Baoding, 071000, Hebei Province, People's Republic of China
| | - Ji-Hai Wang
- Department of Orthopaedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou City, 450052, Henan Province, People's Republic of China.
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4
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Son B, Lee W, Kim H, Shin H, Park HH. Targeted therapy of cancer stem cells: inhibition of mTOR in pre-clinical and clinical research. Cell Death Dis 2024; 15:696. [PMID: 39349424 PMCID: PMC11442590 DOI: 10.1038/s41419-024-07077-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 09/10/2024] [Accepted: 09/13/2024] [Indexed: 10/02/2024]
Abstract
Cancer stem cells (CSCs) are a type of stem cell that possesses not only the intrinsic abilities of stem cells but also the properties of cancer cells. Therefore, CSCs are known to have self-renewal and outstanding proliferation capacity, along with the potential to differentiate into specific types of tumor cells. Cancers typically originate from CSCs, making them a significant target for tumor treatment. Among the related cascades of the CSCs, mammalian target of rapamycin (mTOR) pathway is regarded as one of the most important signaling pathways because of its association with significant upstream signaling: phosphatidylinositol 3‑kinase/protein kinase B (PI3K/AKT) pathway and mitogen‑activated protein kinase (MAPK) cascade, which influence various activities of stem cells, including CSCs. Recent studies have shown that the mTOR pathway not only affects generation of CSCs but also the maintenance of their pluripotency. Furthermore, the maintenance of pluripotency or differentiation into specific types of cancer cells depends on the regulation of the mTOR signal in CSCs. Consequently, the clinical potential and importance of mTOR in effective cancer therapy are increasing. In this review, we demonstrate the association between the mTOR pathway and cancer, including CSCs. Additionally, we discuss a new concept for anti-cancer drug development aimed at overcoming existing drawbacks, such as drug resistance, by targeting CSCs through mTOR inhibition.
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Affiliation(s)
- Boram Son
- Department of Bioengineering, Hanyang University, Seoul, 04763, Republic of Korea
- Department of Bio and Fermentation Convergence Technology, Kookmin University, Seoul, 02707, Republic of Korea
| | - Wonhwa Lee
- Department of Chemistry, Sungkyunkwan University, Suwon, 16419, Republic of Korea
| | - Hyeonjeong Kim
- Department of Bioengineering, Hanyang University, Seoul, 04763, Republic of Korea
| | - Heungsoo Shin
- Department of Bioengineering, Hanyang University, Seoul, 04763, Republic of Korea.
| | - Hee Ho Park
- Department of Bioengineering, Hanyang University, Seoul, 04763, Republic of Korea.
- Research Institute for Convergence of Basic Science, Hanyang University, Seoul, 04763, Republic of Korea.
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5
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Guan X, Guo H, Guo Y, Han Q, Li Z, Zhang C. Perforin 1 in Cancer: Mechanisms, Therapy, and Outlook. Biomolecules 2024; 14:910. [PMID: 39199299 PMCID: PMC11352983 DOI: 10.3390/biom14080910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2024] [Revised: 07/22/2024] [Accepted: 07/24/2024] [Indexed: 09/01/2024] Open
Abstract
PRF1 (perforin 1) is a key cytotoxic molecule that plays a crucial role in the killing function of natural killer (NK) cells and cytotoxic T lymphocytes (CTLs). Recent studies have focused on PRF1's role in cancer development, progression, and prognosis. Studies have shown that aberrant PRF1 expression has a significant role to play in cancer development and progression. In some cancers, high expression of the PRF1 gene is associated with a better prognosis for patients, possibly because it helps enhance the body's immune response to tumors. However, some studies have also shown that the absence of PRF1 may make it easier for tumors to evade the body's immune surveillance, thus affecting patient survival. Furthermore, recent studies have explored therapeutic strategies based on PRF1, such as enhancing the ability of immune cells to kill cancer cells by boosting PRF1 activity. In addition, they have improved the efficacy of immunotherapy by modulating its expression to enhance the effectiveness of the treatment. Based on these findings, PRF1 may be a valuable biomarker both for the treatment of cancer and for its prognosis in the future. To conclude, PRF1 has an important biological function and has clinical potential for the treatment of cancer, which indicates that it deserves more research and development in the future.
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Affiliation(s)
- Xiaoya Guan
- Shanxi Key Laboratory of Otorhinolaryngology Head and Neck Cancer, First Hospital of Shanxi Medical University, Taiyuan 030001, China; (H.G.); (Y.G.); (Q.H.); (Z.L.)
- Shanxi Province Clinical Medical Research Center for Precision Medicine of Head and Neck Cancer, First Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - Huina Guo
- Shanxi Key Laboratory of Otorhinolaryngology Head and Neck Cancer, First Hospital of Shanxi Medical University, Taiyuan 030001, China; (H.G.); (Y.G.); (Q.H.); (Z.L.)
- Shanxi Province Clinical Medical Research Center for Precision Medicine of Head and Neck Cancer, First Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - Yujia Guo
- Shanxi Key Laboratory of Otorhinolaryngology Head and Neck Cancer, First Hospital of Shanxi Medical University, Taiyuan 030001, China; (H.G.); (Y.G.); (Q.H.); (Z.L.)
- Shanxi Province Clinical Medical Research Center for Precision Medicine of Head and Neck Cancer, First Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - Qi Han
- Shanxi Key Laboratory of Otorhinolaryngology Head and Neck Cancer, First Hospital of Shanxi Medical University, Taiyuan 030001, China; (H.G.); (Y.G.); (Q.H.); (Z.L.)
- Shanxi Province Clinical Medical Research Center for Precision Medicine of Head and Neck Cancer, First Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - Zhongxun Li
- Shanxi Key Laboratory of Otorhinolaryngology Head and Neck Cancer, First Hospital of Shanxi Medical University, Taiyuan 030001, China; (H.G.); (Y.G.); (Q.H.); (Z.L.)
- Shanxi Province Clinical Medical Research Center for Precision Medicine of Head and Neck Cancer, First Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - Chunming Zhang
- Shanxi Key Laboratory of Otorhinolaryngology Head and Neck Cancer, First Hospital of Shanxi Medical University, Taiyuan 030001, China; (H.G.); (Y.G.); (Q.H.); (Z.L.)
- Shanxi Province Clinical Medical Research Center for Precision Medicine of Head and Neck Cancer, First Hospital of Shanxi Medical University, Taiyuan 030001, China
- Department of Otolaryngology Head & Neck Surgery, First Hospital of Shanxi Medical University, Taiyuan 030001, China
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Stordal B, Farrelly AM, Hennessy BT. Chromosomal copy number and mutational status are required to authenticate ovarian cancer cell lines as appropriate cell models. Mol Biol Rep 2024; 51:784. [PMID: 38940864 PMCID: PMC11213756 DOI: 10.1007/s11033-024-09747-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Accepted: 06/20/2024] [Indexed: 06/29/2024]
Abstract
BACKGROUND The mutational status of ovarian cancer cell line IGROV-1 is inconsistent across the literature, suggestive of multiple clonal populations of the cell line. IGROV-1 has previously been categorised as an inappropriate model for high-grade serous ovarian cancer. METHODS IGROV-1 cells were obtained from the Netherlands Cancer Institute (IGROV-1-NKI) and the MD Anderson Cancer Centre (IGROV-1-MDA). Cell lines were STR fingerprinted and had their chromosomal copy number analysed and BRCA1/2 genes sequenced. Mutation status of ovarian cancer-related genes were extracted from the literature. RESULTS The IGROV-1-NKI cell line has a tetraploid chromosomal profile. In contrast, the IGROV-1-MDA cell line has pseudo-normal chromosomes. The IGROV-1-NKI and IGROV-MDA are both STR matches (80.7% and 84.6%) to the original IGROV-1 cells isolated in 1985. However, IGROV-1-NKI and IGROV-1-MDA are not an STR match to each other (78.1%) indicating genetic drift. The BRCA1 and BRCA2 gene sequences are 100% identical between IGROV-1-MDA and IGROV-1-NKI, including a BRCA1 heterozygous deleterious mutation. The IGROV-1-MDA cells are more resistant to cisplatin and olaparib than IGROV-1-NKI. IGROV-1 has a mutational profile consistent with both Type I (PTEN, PIK3CA and ARID1A) and Type II ovarian cancer (BRCA1, TP53) and is likely to be a Type II high-grade serous carcinoma of the SET (Solid, pseudo-Endometroid and Transitional cell carcinoma-like morphology) subtype. CONCLUSIONS Routine testing of chromosomal copy number as well as the mutational status of ovarian cancer related genes should become the new standard alongside STR fingerprinting to ensure that ovarian cancer cell lines are appropriate models.
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Affiliation(s)
- Britta Stordal
- Department of Natural Sciences, Middlesex University London, The Burroughs, Hendon, London, NW4 4BT, UK.
| | - Angela M Farrelly
- Department of Medical Oncology, Beaumont Hospital and Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Bryan T Hennessy
- Department of Medical Oncology, Beaumont Hospital and Royal College of Surgeons in Ireland, Dublin, Ireland
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7
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Fu M, Deng F, Chen J, Fu L, Lei J, Xu T, Chen Y, Zhou J, Gao Q, Ding H. Current data and future perspectives on DNA methylation in ovarian cancer (Review). Int J Oncol 2024; 64:62. [PMID: 38757340 PMCID: PMC11095605 DOI: 10.3892/ijo.2024.5650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 04/25/2024] [Indexed: 05/18/2024] Open
Abstract
Ovarian cancer (OC) represents the most prevalent malignancy of the female reproductive system. Its distinguishing features include a high aggressiveness, substantial morbidity and mortality, and a lack of apparent symptoms, which collectively pose significant challenges for early detection. Given that aberrant DNA methylation events leading to altered gene expression are characteristic of numerous tumor types, there has been extensive research into epigenetic mechanisms, particularly DNA methylation, in human cancers. In the context of OC, DNA methylation is often associated with the regulation of critical genes, such as BRCA1/2 and Ras‑association domain family 1A. Methylation modifications within the promoter regions of these genes not only contribute to the pathogenesis of OC, but also induce medication resistance and influence the prognosis of patients with OC. As such, a more in‑depth understanding of DNA methylation underpinning carcinogenesis could potentially facilitate the development of more effective therapeutic approaches for this intricate disease. The present review focuses on classical tumor suppressor genes, oncogenes, signaling pathways and associated microRNAs in an aim to elucidate the influence of DNA methylation on the development and progression of OC. The advantages and limitations of employing DNA methylation in the diagnosis, treatment and prevention of OC are also discussed. On the whole, the present literature review indicates that the DNA methylation of specific genes could potentially serve as a prognostic biomarker for OC and a therapeutic target for personalized treatment strategies. Further investigations in this field may yield more efficacious diagnostic and therapeutic alternatives for patients with OC.
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Affiliation(s)
- Mengyu Fu
- Institute for Fetology, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, P.R. China
| | - Fengying Deng
- Institute for Fetology, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, P.R. China
| | - Jie Chen
- Institute for Fetology, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, P.R. China
| | - Li Fu
- Institute for Fetology, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, P.R. China
| | - Jiahui Lei
- Institute for Fetology, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, P.R. China
| | - Ting Xu
- Institute for Fetology, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, P.R. China
- Department of Gynecology and Obstetrics, Dushu Lake Hospital Affiliated to Soochow University, Suzhou, Jiangsu 215100, P.R. China
| | - Youguo Chen
- Institute for Fetology, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, P.R. China
| | - Jinhua Zhou
- Institute for Fetology, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, P.R. China
| | - Qinqin Gao
- Institute for Fetology, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, P.R. China
| | - Hongmei Ding
- Institute for Fetology, Department of Obstetrics and Gynecology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, P.R. China
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8
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Petrović N, Essack M, Šami A, Perry G, Gojobori T, Isenović ER, Bajić VP. MicroRNA networks linked with BRCA1/2, PTEN, and common genes for Alzheimer's disease and breast cancer share highly enriched pathways that may unravel targets for the AD/BC comorbidity treatment. Comput Biol Chem 2023; 106:107925. [PMID: 37487248 DOI: 10.1016/j.compbiolchem.2023.107925] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 06/29/2023] [Accepted: 07/13/2023] [Indexed: 07/26/2023]
Abstract
MicroRNAs (miRNAs) are involved in the regulation of various cellular processes including pathological conditions. MiRNA networks have been extensively researched in age-related degenerative diseases, such as cancer, Alzheimer's disease (AD), and heart failure. Thus, miRNA has been studied from different approaches, in vivo, in vitro, and in silico including miRNA networks. Networks linking diverse biomedical entities unveil information not readily observable by other means. This work focuses on biological networks related to Breast cancer susceptibility 1 (BRCA1) in AD and breast cancer (BC). Using various bioinformatics approaches, we identified subnetworks common to AD and BC that suggest they are linked. According to our results, miR-107 was identified as a potentially good candidate for both AD and BC treatment (targeting BRCA1/2 and PTEN in both diseases), accompanied by miR-146a and miR-17. The analysis also confirmed the involvement of the miR-17-92 cluster, and miR-124-3p, and highlighted the importance of poorly researched miRNAs such as mir-6785 mir-6127, mir-6870, or miR-8485. After filtering the in silico analysis results, we found 49 miRNA molecules that modulate the expression of at least five genes common to both BC and AD. Those 49 miRNAs regulate the expression of 122 genes in AD and 93 genes in BC, from which 26 genes are common genes for AD and BC involved in neuron differentiation and genesis, cell differentiation and migration, regulation of cell cycle, and cancer development. Additionally, the highly enriched pathway was associated with diabetic complications, pointing out possible interplay among molecules underlying BC, AD, and diabetes pathology.
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Affiliation(s)
- Nina Petrović
- Laboratory for Radiobiology and Molecular Genetics, Department of Health and Environment, "VINČA "Institute of Nuclear Sciences-National Institute of the Republic of Serbia, University of Belgrade, Mike Petrovića Alasa 12-14, 11001 Belgrade, Serbia; Department for Experimental Oncology, Institute for Oncology and Radiology of Serbia, Pasterova 14, 11000 Belgrade, Serbia
| | - Magbubah Essack
- Computer, Electrical and Mathematical Sciences and Engineering Division (CEMSE), Computational Bioscience Research Center, Computer (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Kingdom of Saudi Arabia
| | - Ahmad Šami
- Cellular and Molecular Radiation Oncology Laboratory, Department of Radiation Oncology, Universitatsmedizin Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - George Perry
- Department of Biology, The University of Texas at San Antonio, San Antonio, TX, USA
| | - Takashi Gojobori
- Computer, Electrical and Mathematical Sciences and Engineering Division (CEMSE), Computational Bioscience Research Center, Computer (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Kingdom of Saudi Arabia
| | - Esma R Isenović
- Laboratory for Radiobiology and Molecular Genetics, Department of Health and Environment, "VINČA "Institute of Nuclear Sciences-National Institute of the Republic of Serbia, University of Belgrade, Mike Petrovića Alasa 12-14, 11001 Belgrade, Serbia
| | - Vladan P Bajić
- Laboratory for Radiobiology and Molecular Genetics, Department of Health and Environment, "VINČA "Institute of Nuclear Sciences-National Institute of the Republic of Serbia, University of Belgrade, Mike Petrovića Alasa 12-14, 11001 Belgrade, Serbia.
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Bukłaho PA, Kiśluk J, Nikliński J. Diagnostics and treatment of ovarian cancer in the era of precision medicine - opportunities and challenges. Front Oncol 2023; 13:1227657. [PMID: 37746296 PMCID: PMC10516548 DOI: 10.3389/fonc.2023.1227657] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 08/21/2023] [Indexed: 09/26/2023] Open
Abstract
Due to predictions of increasing incidences and deaths from ovarian cancer, this neoplasm is a challenge for modern health care. The advent of NGS technology has made it possible to understand the molecular characteristics of many cancers, including ovarian cancer. The data obtained in research became the basis for the development of molecularly targeted therapies thus leading to the entry of NGS analysis into the diagnostic process of oncological patients. This review presents targeted therapies currently in preclinical or clinical trials, whose promising results offer hope for their use in clinical practice in the future. As more therapeutic options emerge, it will be necessary to modify molecular diagnostic regimens to select the best treatment for a given patient. New biomarkers are needed to predict the success of planned therapy. An important aspect of public health is molecular testing in women with a familial predisposition to ovarian cancer enabling patients to be included in prevention programs. NGS technology, despite its high throughput, poses many challenges, from the quality of the diagnostic material used for testing to the interpretation of results and classification of sequence variants. The article highlights the role of molecular testing in ongoing research and also its role in the diagnostic and therapeutic process in the era of personalized medicine. The spread of genetic testing in high-risk groups, the introduction of more targeted therapies and also the possibility of agnostic therapies could significantly improve the health situation for many women worldwide.
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Affiliation(s)
- Patrycja Aleksandra Bukłaho
- Department of Clinical Molecular Biology, Medical University of Bialystok, Bialystok, Poland
- Doctoral School, Medical University of Bialystok, Bialystok, Poland
| | - Joanna Kiśluk
- Department of Clinical Molecular Biology, Medical University of Bialystok, Bialystok, Poland
| | - Jacek Nikliński
- Department of Clinical Molecular Biology, Medical University of Bialystok, Bialystok, Poland
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Li Q, Li Z, Luo T, Shi H. Targeting the PI3K/AKT/mTOR and RAF/MEK/ERK pathways for cancer therapy. MOLECULAR BIOMEDICINE 2022; 3:47. [PMID: 36539659 PMCID: PMC9768098 DOI: 10.1186/s43556-022-00110-2] [Citation(s) in RCA: 92] [Impact Index Per Article: 30.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Accepted: 11/10/2022] [Indexed: 12/24/2022] Open
Abstract
The PI3K/AKT/mTOR and RAF/MEK/ERK pathways are commonly activated by mutations and chromosomal translocation in vital targets. The PI3K/AKT/mTOR signaling pathway is dysregulated in nearly all kinds of neoplasms, with the component in this pathway alternations. RAF/MEK/ERK signaling cascades are used to conduct signaling from the cell surface to the nucleus to mediate gene expression, cell cycle processes and apoptosis. RAS, B-Raf, PI3K, and PTEN are frequent upstream alternative sites. These mutations resulted in activated cell growth and downregulated cell apoptosis. The two pathways interact with each other to participate in tumorigenesis. PTEN alterations suppress RAF/MEK/ERK pathway activity via AKT phosphorylation and RAS inhibition. Several inhibitors targeting major components of these two pathways have been supported by the FDA. Dozens of agents in these two pathways have attracted great attention and have been assessed in clinical trials. The combination of small molecular inhibitors with traditional regimens has also been explored. Furthermore, dual inhibitors provide new insight into antitumor activity. This review will further comprehensively describe the genetic alterations in normal patients and tumor patients and discuss the role of targeted inhibitors in malignant neoplasm therapy. We hope this review will promote a comprehensive understanding of the role of the PI3K/AKT/mTOR and RAF/MEK/ERK signaling pathways in facilitating tumors and will help direct drug selection for tumor therapy.
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Affiliation(s)
- Qingfang Li
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy, West China Hospital, National Clinical Research Center for Geriatrics, Sichuan University, Chengdu, China
| | - Zhihui Li
- Department of Oncology, The General Hospital of Western Theater Command, Chengdu, PR China
| | - Ting Luo
- Department of Breast, Cancer Center, West China Hospital, Sichuan University, 610041, Chengdu, P. R. China.
| | - Huashan Shi
- Department of Biotherapy, Cancer Center, West China Hospital, Sichuan University, 610041, Chengdu, P. R. China.
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