TLR4 and SARM1 modulate survival and chemoresistance in an HPV-positive cervical cancer cell line

Morale, Mirian Galliote; Tamura, Rodrigo Esaki; Cintra, Ricardo; Araújo, Natália Meneses; Villa, Luísa Lina

doi:10.1038/s41598-022-09980-6

Cited by 6 publications

(4 citation statements)

References 57 publications

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“…SARM1 gene has been linked to prostate cancer [41]. Moreover, SARM1 has been suggested to be valuable for therapy resistance and could be a relevant clinical target for cervical cancer [42]. Also, this gene has been documented to be patent for Colorectal cancer [43].…”

Section: Resultsmentioning

confidence: 99%

Using Machine Learning Algorithms to find Novel Biomarkers for Breast Cancer using RNA-Seq Dataset

Abdul,

Paudel,

Rahman

2023

Preprint

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Breast cancer (BC) is the second leading cause of death in the United States in women. 1 in 8 women in their lifetime has a risk of developing breast cancer. With advances in omics technology, more data is available for diagnosis, treatment, and prognosis. The help of Machine Learning algorithms, a subdomain of Artificial Intelligence, would allow for a better clinical support tool. Machine Learning could be the key to answering a complex problem in BC. The methodology of this research question involves collecting and finding data such as RNA-Seq datasets, selecting and training appropriate machine learning algorithms, and evaluating the performance of the algorithms in predicting BC prognosis. Also, the study explores and tries to identify the most relevant genes and pathways through feature selection extraction and dimensionality reduction techniques. After applying feature extraction, the top 10 genes were extracted using the Univariate Feature Selection (UFS) method, precisely the SelectKBest technique. After employing different machine learning algorithms, such as Networks, Random Forest, Linear SVM, Logistic Regression, and Quadratic Discriminant Analysis (QDA), we found QDA was the best model in classifying the RNA-seq dataset with a 96% accuracy rate and 94% ROC AUC. This study suggests that AK2 and CD68 have a positive correlation with each other, and it could potentially be a biomarker and therapeutic target for BC.

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Section: Resultsmentioning

confidence: 99%

Using Machine Learning Algorithms to find Novel Biomarkers for Breast Cancer using RNA-Seq Dataset

Abdul,

Paudel,

Rahman

2023

Preprint

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“…According to recent ndings, viral infection causes the gene expression of TLR4 to be highly expressed in positive samples, the high level of TLR4 gene expression has an obvious association with tumors resulting from the transformation of squamous cells of the cervix into immortal cells by the carcinogenic proteins of the HPV (12), when compared with negative samples of cervix tissue , which compatible with studies by (13), its found that TLRs, particularly TLR4, TLR5, and TLR9, are very associated with HPV infection, and cervical cancer cells may grow faster if TLR4 is activated. Studies investigated, the connection between TLR4 and cervical cancer cells in vitro (13), and discovered that TLR4 supported HPV-related cervical cancer cells in proliferating and resisting apoptosis (14), this shows that the high level of TLR4 gene expression in positive cases was connected with HPV infection. where the level of TLR4 gene expression was lower in negative than the positive samples, Additionally, when the TLR4/MyD88/NF-B pathway is activated, proin ammatory cytokines are abundantly produced in HPV-related cervical cancer cells (15).…”

Section: Discussionmentioning

confidence: 98%

Role Toll-like receptor 4 gene underlying Hypoxia-inducible transcription factor 1α gene expression in cervical cancer of women

Nama¹,

Kraidi²

2023

Preprint

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Molecular methods are being used in cervical cancer screening to identify high-risk human papillomavirus. Annually, 490,000 new infections are diagnosed with papillomavirus, and about 298,000 death cases due to cervical cancer worldwide. Pap and biopsy samples from 65 samples from cervixes were collected from women with histological changes from Alsider Teaching Hospital, Maysan Hospital for Children, South of Iraq. The viruses were detected by RT-PCR in 69.2 % of the all cases. Extracted RNA samples were used to analyze the gene expression of Toll-like receptor 4 and hypoxia-inducible transcription factor 1α from biopsy samples. It was found that the number of positive samples for viruse genotype 16 was in 30 samples, which represents 66.6 %, while the genotype 18 was detected in 17 samples, which represents 37.7%, while 9 samples gave positive results for genotype 31 and represented about 20 %, relying on E6 or E7 specific primers in cDNA template by real-time PCR ,and the values of Toll-like receptor 4 in negative samples were normalized to the housekeeping gene (β actin) to 1 and its values in positive samples were compared to that 1 which was more roughly in 1-fold, and the hypoxia-inducible transcription factor 1α gene expression in positive samples was more in roughly 48-fold compared to its value in the housekeeping gene (β actin) to 1 (negative control). The study concluded that toll-like receptor 4 and hypoxia-inducible transcription factor 1α are overexpressed in cervical cancer, and both synergistically promote the development of cervical cancer.

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“…Very little has been reported regarding its role in cancer. One study with HeLa cells, an HPV-positive cervical cancer cell line, found that knocking out SARM1 decreased cell survival and increased the cells' sensitivity to cisplatin treatment [127].…”

Section: Sarm1mentioning

confidence: 99%

The Structural Dynamics, Complexity of Interactions, and Functions in Cancer of Multi-SAM Containing Proteins

Clements

Henen

Vögeli

et al. 2023

Cancers

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SAM domains are crucial mediators of diverse interactions, including those important for tumorigenesis or metastasis of cancers, and thus SAM domains can be attractive targets for developing cancer therapies. This review aims to explore the literature, especially on the recent findings of the structural dynamics, regulation, and functions of SAM domains in proteins containing more than one SAM (multi-SAM containing proteins, MSCPs). The topics here include how intrinsic disorder of some SAMs and an additional SAM domain in MSCPs increase the complexity of their interactions and oligomerization arrangements. Many similarities exist among these MSCPs, including their effects on cancer cell adhesion, migration, and metastasis. In addition, they are all involved in some types of receptor-mediated signaling and neurology-related functions or diseases, although the specific receptors and functions vary. This review also provides a simple outline of methods for studying protein domains, which may help non-structural biologists to reach out and build new collaborations to study their favorite protein domains/regions. Overall, this review aims to provide representative examples of various scenarios that may provide clues to better understand the roles of SAM domains and MSCPs in cancer in general.

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TLR4 and SARM1 modulate survival and chemoresistance in an HPV-positive cervical cancer cell line

Cited by 6 publications

References 57 publications

Using Machine Learning Algorithms to find Novel Biomarkers for Breast Cancer using RNA-Seq Dataset

Using Machine Learning Algorithms to find Novel Biomarkers for Breast Cancer using RNA-Seq Dataset

Role Toll-like receptor 4 gene underlying Hypoxia-inducible transcription factor 1α gene expression in cervical cancer of women

The Structural Dynamics, Complexity of Interactions, and Functions in Cancer of Multi-SAM Containing Proteins

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