Ítem
Embargo

Co-expression of the mammaglobin (SCGB2A2) gene with hsa-miR-184 and hsa-miR-190b indicates their possible role in different oncogenic pathways in Breast cancer

Mostrar el registro sencillo de la publicación
dc.contributor.advisorRamírez Clavijo, Sandra Rocío
dc.contributor.advisorPayán Gómez, César
dc.contributor.gruplacCiencias Básicas Médicas
dc.creatorAbella Duque, Juan Felipe
dc.creatorLópez Kleine, Liliana
dc.creatorRamírez Clavijo, Sandra Rocío
dc.creatorPayán Gómez, César
dc.creator.OrganizationalUniversidad Del Rosario
dc.creator.degreeMagíster en Ciencias Naturales
dc.creator.degreeLevelMaestríaspa
dc.date.accessioned2025-05-12T12:45:23Z
dc.date.available2025-05-12T12:45:23Z
dc.date.created2024-12-02
dc.descriptionIntroducción: El cáncer de mama es el cáncer más común en mujeres a nivel mundial, y su detección temprana sigue siendo un desafío importante. Estudios recientes han identificado una mayor expresión del ARNm de la mamaglobina A (SCGB2A2) en el cáncer de mama, lo que sugiere su potencial como marcador de enfermedad, aunque su función no se comprende completamente. Este estudio identifica microARN (miARN) coexpresados ​​con SCGB2A2, cuyas vías de señalización permiten comprender mejor el papel de SCGB2A2 en el cáncer de mama. Materiales y Métodos: Utilizando TCGAbiolinks y Firebrowse, se obtuvieron datos de miARN y expresión génica de 86 pacientes, con una muestra tumoral y una muestra de tejido normal por paciente, de la cohorte de cáncer de mama de TCGA. Los datos transcriptómicos se analizaron con DESeq2 y se calculó una correlación de Spearman para los valores p significativos, que se analizaron posteriormente utilizando herramientas de enriquecimiento y bases de datos de genes diana. Resultados: Entre los 782 miRNA expresados ​​en cáncer de mama, solo dos, hsa-mir-184 y hsa-mir-190b, mostraron la correlación positiva más fuerte con SCGB2A. Estos miRNA también mostraron una expresión positiva en tejidos de cáncer de mama en comparación con los de tejidos normales. El análisis bioinformático sugiere que hsa-mir-184 y hsa-mir-190b desempeñan un papel importante en la proliferación celular y el control del ciclo celular. Cabe destacar que estos miRNA se han asociado previamente con el cáncer de mama. No se encontró ningún miRNA con una correlación negativa con SCGB2A2. Estos miRNA se dirigen a una amplia gama de genes, incluyendo TP53, ESR1 y MYC, que están implicados en procesos relacionados con el cáncer, como la apoptosis y la regulación del ciclo celular. Conclusiones: La correlación positiva entre hsa-mir-184 y hsa-mir-190b y la expresión de SCGB2A2 muestra que podrían participar en la misma vía de señalización. Sin embargo, en lugar de modular directamente la expresión de SCGB2A2, estos modulan la expresión de los genes SNX9 y ANXA6 en el tejido tumoral mamario. Estos participan en procesos celulares críticos, como el tráfico de membrana y la señalización celular, y se alteran con frecuencia en el cáncer, lo que los convierte en posibles dianas para la regulación de miRNA. Además, esta información nos permite comprender mejor el posible papel de la mamaglobina en las vías de señalización celular relacionadas con el cáncer de mama y contribuye al desarrollo de estrategias terapéuticas específicas.
dc.description.abstractBackground: Breast cancer is the most common cancer in women worldwide, and early detection remains a significant challenge. Recent studies have identified increased expression of Mammaglobin A (SCGB2A2) mRNA in breast cancer, suggesting its potential as a disease marker, although its function is not fully understood. This study identifies microRNAs (miRNAs) co-expressed with SCGB2A2, which signaling pathways to better understand SCGB2A2's role in breast cancer. Methods: Using TCGAbiolinks and Firebrowse, miRNA and gene expression data were obtained from 86 patients, with one tumor sample and one normal tissue sample per patient from the TCGA Breast Cancer cohort. Transcriptomic data were analyzed with DESeq2, and a Spearman correlation was calculated for significant p-values, which were further analyzed using enrichment tools and target gene databases. Results: Among the 782 miRNAs expressed in breast cancer, only two, hsa-mir-184 and hsa mir-190b, showed the strongest positive correlation with SCGB2A. These miRNAs were also upregulated in breast cancer tissues compared with those in normal tissues. The bioinformatics analysis suggests that hsa-mir-184 and hsa-mir-190b play significant roles in cellular proliferation and cell cycle control. Notably, these miRNAs have been previously associated with breast cancer. No miRNAs were found to have a negative correlation with SCGB2A2. These miRNAs target a broad range of genes, including TP53, ESR1, and MYC, which are implicated in cancer-related processes such as apoptosis and cell cycle regulation. Conclusions: The positive correlation between hsa-mir-184 and hsa-mir-190b and SCGB2A2 expression shows that they could participate in the same signaling pathway. However, rather than directly modulating SCGB2A2 expression, these are modulators of SNX9 and ANXA6 gene expression in the breast tumor tissue. These are involved in critical cellular processes, such as membrane trafficking and cell signaling, and are frequently disrupted in cancer, making them plausible targets for miRNA regulation. In addition, this information allows us to better understand the possible role of mammaglobin in cell signaling pathways related to breast cancer and contributes to the development of targeted therapeutic strategies.
dc.description.sponsorshipHospital Universitario Mederi
dc.format.extent26 pp
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.48713/10336_45303
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/45303
dc.language.isoeng
dc.publisherUniversidad del Rosario
dc.publisher.departmentFacultad de Ciencias Naturales
dc.publisher.programMaestría en Ciencias Naturales
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.accesRightsinfo:eu-repo/semantics/embargoedAccess
dc.rights.accesoRestringido (Temporalmente bloqueado)
dc.rights.economicrightsUniversidad del Rosario
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.source.bibliographicCitationGorbokon, Natalia; Timm, Patrick; Dum, David; Menz, Anne; Büscheck, Franziska; Völkel, Cosima; Hinsch, Andrea; Lennartz, Maximilian; Luebke, Andreas M; Hube-Magg, Claudia (2023) Mammaglobin-A expression is highly specific for tumors derived from the breast, the female genital tract, and the salivary gland. En: Diagnostics. Vol. 13; No. 6; pp. 1202 - 1202;
dc.source.bibliographicCitationYamada, Norishige; Kitamoto, Sho; Yokoyama, Seiya; Hamada, Tomofumi; Goto, Masamichi; Tsutsumida, Hideaki; Higashi, Michiyo; Yonezawa, Suguru (2011) Epigenetic regulation of mucin genes in human cancers. En: Clinical epigenetics. Vol. 2; pp. 85 - 96;
dc.source.bibliographicCitationZafrakas, Menelaos; Petschke, Beate; Donner, Andreas; Fritzsche, Florian; Kristiansen, Glen; Knüchel, Ruth; Dahl, Edgar (2006) Expression analysis of mammaglobin A (SCGB2A2) and lipophilin B (SCGB1D2) in more than 300 human tumors and matching normal tissues reveals their co-expression in gynecologic malignancies. En: BMC cancer. Vol. 6; pp. 1 - 13;
dc.source.bibliographicCitationGuan, Haitao; Zhao, Ping; Dai, Zhijun; Liu, Xiaoxu; Wang, Xijing (2016) SH3GL1 inhibition reverses multidrug resistance in colorectal cancer cells by downregulation of MDR1/P-glycoprotein via EGFR/ERK/AP-1 pathway. En: Tumor Biology. Vol. 37; pp. 12153 - 12160;
dc.source.bibliographicCitationGuo, Chunmei; Liu, Shuqing; Sun, Ming-Zhong (2013) Potential role of Anxa1 in cancer. En: Future oncology. Vol. 9; No. 11; pp. 1773 - 1793;
dc.source.bibliographicCitationTachihara-Yoshikawa, Motoko; Ishida, Takashi; Watanabe, Kana; Sugawara, Aya; Kanazawa, Kenya; Kanno, Ryuzo; Suzuki, Toshimitsu; Niimi, Tomoaki; Kimura, Shioko; Munakata, Mitsuru (2008) Expression of secretoglobin3A2 (SCGB3A2) in primary pulmonary carcinomas. En: Fukushima journal of medical science. Vol. 54; No. 2; pp. 61 - 61;
dc.source.bibliographicCitationGiubellino, Alessio; Burke, Terrence R; Bottaro, Donald P (2008) Grb2 signaling in cell motility and cancer. En: Expert opinion on therapeutic targets. Vol. 12; No. 8; pp. 1021 - 1033;
dc.source.bibliographicCitationChen, Wenqing; Zhang, Zhu; Zhang, Shiqing; Zhu, Peili; Ko, Joshua Ka-Shun; Yung, Ken Kin-Lam (2021) MUC1: structure, function, and clinic application in epithelial cancers. En: International journal of molecular sciences. Vol. 22; No. 12; pp. 6567 - 6567;
dc.source.bibliographicCitationLind, G E; Skotheim, R I; Fraga, M F; Abeler, V M; Esteller, M; Lothe, Ragnhild A (2006) Novel epigenetically deregulated genes in testicular cancer include homeobox genes and SCGB3A1 (HIN‐1). En: The Journal of Pathology: A Journal of the Pathological Society of Great Britain and Ireland. Vol. 210; No. 4; pp. 441 - 449;
dc.source.bibliographicCitationMunakata, Koji; Uemura, Mamoru; Takemasa, Ichiro; Ozaki, Miyuki; Konno, Masamitsu; Nishimura, Junichi; Hata, Taishi; Mizushima, Tsunekazu; Haraguchi, Naotsugu; Noura, Shingo (2014) SCGB2A1 is a novel prognostic marker for colorectal cancer associated with chemoresistance and radioresistance. En: International journal of oncology. Vol. 44; No. 5; pp. 1521 - 1528;
dc.source.bibliographicCitationYuan, Zhong-Yu; Dai, Ting; Wang, Shu-Sen; Peng, Rou-Jun; Li, Xing-Hua; Qin, Tao; Song, Li-Bing; Wang, Xi (2014) Overexpression of ETV4 protein in triple-negative breast cancer is associated with a higher risk of distant metastasis. En: OncoTargets and therapy. pp. 1733 - 1742;
dc.source.bibliographicCitationNi, J; Kalff-Suske, M; Gentz, R; Schageman, J; Beato, M; Klug, J (2000) All human genes of the uteroglobin family are localized on chromosome 11q12.2 and form a dense cluster. En: Annals of the New York Academy of Sciences. Vol. 923; pp. 25 - 42; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-0034517998&doi=10.1111%2Fj.1749-6632.2000.tb05517.x&partnerID=40&md5=fa3d5644083c6437b9e16defaddc7dd8. Disponible en: 10.1111/j.1749-6632.2000.tb05517.x.
dc.source.bibliographicCitationBendris, N; Schmid, S L (2017) Endocytosis, Metastasis and Beyond: Multiple Facets of SNX9. En: Trends in Cell Biology. Vol. 27; No. 3; pp. 189 - 200; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85007553502&doi=10.1016%2Fj.tcb.2016.11.001&partnerID=40&md5=6b38d4f6a87bc07a0c58858ca3ee1368. Disponible en: 10.1016/j.tcb.2016.11.001.
dc.source.bibliographicCitationCao, J; Wan, S; Chen, S; Yang, L (2023) ANXA6: a key molecular player in cancer progression and drug resistance. En: Discover Oncology. Vol. 14; No. 1; Disponible en: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159947676&doi=10.1007%2Fs12672-023-00662-x&partnerID=40&md5=55d44156199e09adea057377ee8c41dc. Disponible en: 10.1007/s12672-023-00662-x.
dc.source.bibliographicCitationVerma, Vinod Kumar; Beevi, Syed Sultan; Nair, Rekha A; Kumar, Aviral; Kiran, Ravi; Alexander, Liza Esther; Dinesh Kumar, Lekha (2024) MicroRNA signatures differentiate types, grades, and stages of breast invasive ductal carcinoma (IDC): miRNA-target interacting signaling pathways. En: Cell Communication and Signaling. Vol. 22; No. 1; pp. 100 - 100; Disponible en: https://doi.org/10.1186/s12964-023-01452-2. Disponible en: 10.1186/s12964-023-01452-2.
dc.source.bibliographicCitationHuang, Wei; Huang, Feizhou; Lei, Zhao; Luo, Hongwu (2020) LncRNA SNHG11 promotes proliferation, migration, apoptosis, and autophagy by regulating hsa-miR-184/AGO2 in HCC. En: OncoTargets and therapy. pp. 413 - 421;
dc.source.bibliographicCitationChen, Meihuan; Wang, Xinrui; Wang, Haiwei; Zhang, Min; Chen, Lingji; Chen, Hong; Pan, Yali; Zhang, Yanhong; Xu, Liangpu; Huang, Hailong (2023) The clinical value of hsa-miR-190b-5p in peripheral blood of pediatric β-thalassemia and its regulation on BCL11A expression. En: Plos one. Vol. 18; No. 10; pp. e0292031 - e0292031;
dc.source.bibliographicCitationDalman, Mark R; Deeter, Anthony; Nimishakavi, Gayathri; Duan, Zhong-Hui (2012) Fold change and p-value cutoffs significantly alter microarray interpretations. En: BMC Bioinformatics. Vol. 13; No. 2; pp. S11 - S11; Disponible en: https://doi.org/10.1186/1471-2105-13-S2-S11. Disponible en: 10.1186/1471-2105-13-S2-S11.
dc.source.bibliographicCitationColaprico, Antonio; Silva, Tiago C; Olsen, Catharina; Garofano, Luciano; Cava, Claudia; Garolini, Davide; Sabedot, Thais S; Malta, Tathiane M; Pagnotta, Stefano M; Castiglioni, Isabella; Ceccarelli, Michele; Bontempi, Gianluca; Noushmehr, Houtan (2016) TCGAbiolinks: an R/Bioconductor package for integrative analysis of TCGA data. En: Nucleic acids research. Vol. 44; No. 8; pp. e71 - e71; Disponible en: 10.1093/nar/gkv1507.
dc.source.bibliographicCitationNelakurthi, Vidya Maheswari; Paul, Priyanka; Reche, Amit (2023) Bioinformatics in Early Cancer Detection. En: Cureus. Vol. 15; No. 10; pp. e46931 - e46931; Disponible en: 10.7759/cureus.46931.
dc.source.bibliographicCitationCai, Xuezhong; Hagedorn, Curt H; Cullen, Bryan R (2004) Human microRNAs are processed from capped, polyadenylated transcripts that can also function as mRNAs. En: RNA (New York, N.Y.). Vol. 10; No. 12; pp. 1957 - 1966; Disponible en: 10.1261/rna.7135204.
dc.source.bibliographicCitationWatson, M A; Darrow, C; Zimonjic, D B; Popescu, N C; Fleming, T P (1998) Structure and transcriptional regulation of the human mammaglobin gene, a breast cancer associated member of the uteroglobin gene family localized to chromosome 11q13. En: Oncogene. Vol. 16; No. 6; pp. 817 - 824; Disponible en: 10.1038/sj.onc.1201597.
dc.source.bibliographicCitationIbing, Susanne; Michels, Birgitta E; Mosdzien, Moritz; Meyer, Helen R; Feuerbach, Lars; Körner, Cindy (2021) On the impact of batch effect correction in TCGA isomiR expression data. En: NAR Cancer. Vol. 3; No. 1; pp. zcab007 - zcab007; Disponible en: https://doi.org/10.1093/narcan/zcab007. Disponible en: 10.1093/narcan/zcab007.
dc.source.bibliographicCitationDai, Wenzhu; He, Jixiang; Zheng, Ling; Bi, Mingyu; Hu, Fei; Chen, Minju; Niu, Heng; Yang, Jingyu; Luo, Ying; Tang, Wenru; Sheng, Miaomiao (2019) miR-148b-3p, miR-190b, and miR-429 Regulate Cell Progression and Act as Potential Biomarkers for Breast Cancer. En: jbc. Vol. 22; No. 2; pp. 219 - 236; Disponible en: http://dx.doi.org/10.4048/jbc.2019.22.e19. Disponible en: 10.4048/jbc.2019.22.e19.
dc.source.bibliographicCitationConesa, Ana; Madrigal, Pedro; Tarazona, Sonia; Gomez-Cabrero, David; Cervera, Alejandra; McPherson, Andrew; Szcześniak, Michał Wojciech; Gaffney, Daniel J; Elo, Laura L; Zhang, Xuegong; Mortazavi, Ali (2016) A survey of best practices for RNA-seq data analysis. En: Genome Biology. Vol. 17; No. 1; pp. 13 - 13; Disponible en: https://doi.org/10.1186/s13059-016-0881-8. Disponible en: 10.1186/s13059-016-0881-8.
dc.source.bibliographicCitationThammaiah, Chadrashekar Kagepura; Jayaram, Shankar (2016) Role of let-7 family microRNA in breast cancer. En: Non-coding RNA Research. Vol. 1; No. 1; pp. 77 - 82; Disponible en: http://dx.doi.org/10.1016/j.ncrna.2016.10.003. Disponible en: 10.1016/j.ncrna.2016.10.003.
dc.source.bibliographicCitationvan Schooneveld, Eleni; Wouters, Maartje C A; Van der Auwera, Ilse; Peeters, Dieter J; Wildiers, Hans; Van Dam, Peter A; Vergote, Ignace; Vermeulen, Peter B; Dirix, Luc Y; Van Laere, Steven J (2012) Expression profiling of cancerous and normal breast tissues identifies microRNAs that are differentially expressed in serum from patients with (metastatic) breast cancer and healthy volunteers. En: Breast Cancer Research. Vol. 14; No. 1; pp. R34 - R34; Disponible en: https://doi.org/10.1186/bcr3127. Disponible en: 10.1186/bcr3127.
dc.source.bibliographicCitationLove, Michael I; Huber, Wolfgang; Anders, Simon (2014) Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. En: Genome Biology. Vol. 15; No. 12; pp. 550 - 550; Disponible en: https://doi.org/10.1186/s13059-014-0550-8. Disponible en: 10.1186/s13059-014-0550-8.
dc.source.bibliographicCitationDeo, S V S; Sharma, Jyoti; Kumar, Sunil (2022) GLOBOCAN 2020 report on global cancer burden: challenges and opportunities for surgical oncologists. En: Annals of surgical oncology. Vol. 29; No. 11; pp. 6497 - 6500;
dc.source.bibliographicCitationNoushmehr, Houtan; Weisenberger, Daniel J; Diefes, Kristin; Phillips, Heidi S; Pujara, Kanan; Berman, Benjamin P; Pan, Fei; Pelloski, Christopher E; Sulman, Erik P; Bhat, Krishna P; Verhaak, Roel G W; Hoadley, Katherine A; Hayes, D Neil; Perou, Charles M; Schmidt, Heather K; Ding, Li; Wilson, Richard K; Van, David; Berg, Den; Shen, Hui; Bengtsson, Henrik; Neuvial, Pierre; Cope, Leslie M; Buckley, Jonathan; Herman, James G; Baylin, Stephen B; Laird, Peter W; Aldape, Kenneth; Cancer Cell Identification of a CpG Island Methylator Phenotype that Defines a Distinct Subgroup of Glioma. En: Cancer Cell. Vol. 17; pp. 510 - 522; Disponible en: 10.1016/j.ccr.2010.03.017.
dc.source.bibliographicCitationNikolaisen, Marlen Aas; Fiskaa, Tonje (2013) A characterization and comparison of the microRNA expression profile in breast cancer cell lines and exosomes. Disponible en: https://munin.uit.no/handle/10037/12920.
dc.source.bibliographicCitationKarami Fath, Mohsen; Azargoonjahromi, Ali; Kiani, Arash; Jalalifar, Fateme; Osati, Parisa; Akbari Oryani, Mahsa; Shakeri, Fateh; Nasirzadeh, Farhad; Khalesi, Behman; Nabi-Afjadi, Mohsen; Zalpoor, Hamidreza; Mard-Soltani, Maysam; Payandeh, Zahra (2022) The role of epigenetic modifications in drug resistance and treatment of breast cancer. En: Cellular & Molecular Biology Letters 2022 27:1. Vol. 27; No. 1; pp. 1 - 25; Disponible en: https://cmbl.biomedcentral.com/articles/10.1186/s11658-022-00344-6. Disponible en: 10.1186/S11658-022-00344-6.
dc.source.bibliographicCitation (2025) The Enigma of Mammaglobin: Redefining the Biomarker Paradigm in Breast Carcinoma. Consultado en: 2025/05/07/16:13:03. Disponible en: https://www.mdpi.com/1422-0067/24/17/13407.
dc.source.bibliographicCitationLacroix, Marc (2006) Significance, detection and markers of disseminated breast cancer cells. Consultado en: 2025/05/07/16:15:53. Disponible en: https://erc.bioscientifica.com/view/journals/erc/13/4/0131033.xml. Disponible en: 10.1677/ERC-06-0001.
dc.source.bibliographicCitation (2025) All Human Genes of the Uteroglobin Family Are Localized on Chromosome 11q12.2 and Form a Dense Cluster. Consultado en: 2025/05/07/16:18:30. Disponible en: https://nyaspubs.onlinelibrary.wiley.com/doi/abs/10.1111/j.1749-6632.2000.tb05517.x.
dc.source.bibliographicCitation (2025) Mammaglobin-A Expression Is Highly Specific for Tumors Derived from the Breast, the Female Genital Tract, and the Salivary Gland. Consultado en: 2025/05/07/16:19:34. Disponible en: https://www.mdpi.com/2075-4418/13/6/1202.
dc.source.bibliographicCitation (2025) Structure and transcriptional regulation of the human mammaglobin gene, a breast cancer associated member of the uteroglobin gene family localized to Chromosome 11q13 | Oncogene. Consultado en: 2025/05/07/18:10:01. Disponible en: https://www.nature.com/articles/1201597.
dc.source.bibliographicCitationNikolaisen, Marlen Aas (2013) A characterization and comparison of the microRNA expression profile in breast cancer cell lines and exosomes. : Universitetet i Tromsø; Consultado en: 2025/05/07/18:11:39. Disponible en: https://munin.uit.no/handle/10037/12920.
dc.source.bibliographicCitationSilva, Tiago C.; Colaprico, Antonio; Olsen, Catharina; D'Angelo, Fulvio; Bontempi, Gianluca; Ceccarelli, Michele; Noushmehr, Houtan (2016) TCGA Workflow: Analyze cancer genomics and epigenomics data using Bioconductor packages. En: F1000Research. Vol. 5; pp. 1542 2046-1402; Consultado en: 2025/05/07/18:12:55. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5302158/. Disponible en: 10.12688/f1000research.8923.2.
dc.source.bibliographicCitationMounir, Mohamed; Lucchetta, Marta; Silva, Tiago C.; Olsen, Catharina; Bontempi, Gianluca; Chen, Xi; Noushmehr, Houtan; Colaprico, Antonio; Papaleo, Elena (2019) New functionalities in the TCGAbiolinks package for the study and integration of cancer data from GDC and GTEx. En: PLOS Computational Biology. Vol. 15; No. 3; pp. e1006701 1553-7358; Consultado en: 2025/05/07/18:14:38. Disponible en: https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006701. Disponible en: 10.1371/journal.pcbi.1006701.
dc.source.bibliographicCitationNoushmehr, Houtan; Weisenberger, Daniel J.; Diefes, Kristin; Phillips, Heidi S.; Pujara, Kanan; Berman, Benjamin P.; Pan, Fei; Pelloski, Christopher E.; Sulman, Erik P.; Bhat, Krishna P.; Verhaak, Roel G. W.; Hoadley, Katherine A.; Hayes, D. Neil; Perou, Charles M.; Schmidt, Heather K.; Ding, Li; Wilson, Richard K.; Berg, David Van Den; Shen, Hui; Bengtsson, Henrik; Neuvial, Pierre; Cope, Leslie M.; Buckley, Jonathan; Herman, James G.; Baylin, Stephen B.; Laird, Peter W.; Aldape, Kenneth (2010) Identification of a CpG Island Methylator Phenotype that Defines a Distinct Subgroup of Glioma. En: Cancer Cell. Vol. 17; No. 5; pp. 510 - 522; 1535-6108, 1878-3686; Consultado en: 2025/05/07/18:15:37. Disponible en: https://www.cell.com/cancer-cell/abstract/S1535-6108(10)00108-X. Disponible en: 10.1016/j.ccr.2010.03.017.
dc.source.bibliographicCitationLove, Michael I.; Huber, Wolfgang; Anders, Simon (2014) Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. En: Genome Biology. Vol. 15; No. 12; pp. 550 1474-760X; Consultado en: 2025/05/07/18:16:28. Disponible en: https://doi.org/10.1186/s13059-014-0550-8. Disponible en: 10.1186/s13059-014-0550-8.
dc.source.bibliographicCitation (2025) Fold change and p-value cutoffs significantly alter microarray interpretations | BMC Bioinformatics. Consultado en: 2025/05/07/18:17:06. Disponible en: https://link.springer.com/article/10.1186/1471-2105-13-S2-S11.
dc.source.bibliographicCitation (2025) A survey of best practices for RNA-seq data analysis | Genome Biology. Consultado en: 2025/05/07/18:17:38. Disponible en: https://link.springer.com/article/10.1186/s13059-016-0881-8.
dc.source.bibliographicCitationKanike, Uday Kumar (2023) Factors disrupting supply chain management in manufacturing industries. En: Journal of Supply Chain Management Science. Vol. 4; No. 1-2; pp. 1 - 24; 2451-9901; Consultado en: 2025/05/07/18:18:22. Disponible en: https://journals.open.tudelft.nl/jscms/article/view/6986. Disponible en: 10.18757/jscms.2023.6986.
dc.source.bibliographicCitationQi, Houbao; Liu, Shuqing; Guo, Chunmei; Wang, Jiasheng; Greenaway, Frederick T.; Sun, Ming-Zhong (2015) Role of annexin A6 in cancer (Review). En: Oncology Letters. Vol. 10; No. 4; pp. 1947 - 1952; 1792-1074; Consultado en: 2025/05/07/18:20:52. Disponible en: https://www.spandidos-publications.com/10.3892/ol.2015.3498. Disponible en: 10.3892/ol.2015.3498.
dc.source.bibliographicCitationLiu, Yi-Yao; Ge, Chao; Tian, Hua; Jiang, Jing-Yi; Zhao, Fang-Yu; Li, Hong; Chen, Tao-Yang; Yao, Ming; Li, Jin-Jun (2017) The transcription factor Ikaros inhibits cell proliferation by downregulating ANXA4 expression in hepatocellular carcinoma. En: American Journal of Cancer Research. Vol. 7; No. 6; pp. 1285 - 1297; 2156-6976; Consultado en: 2025/05/07/18:22:34. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5489778/.
dc.source.bibliographicCitation (2025) Increased Eps15 homology domain 1 and RAB11FIP3 expression regulate breast cancer progression via promoting epithelial growth factor receptor recycling. Consultado en: 2025/05/07/18:25:19. Disponible en: https://journals.sagepub.com/doi/full/10.1177/1010428317691010.
dc.source.bibliographicCitation (2025) Grb2 signaling in cell motility and cancer: Expert Opinion on Therapeutic Targets: Vol 12, No 8. Consultado en: 2025/05/07/18:25:51. Disponible en: https://www.tandfonline.com/doi/abs/10.1517/14728222.12.8.1021.
dc.source.bibliographicCitationLin, Zhongkun; Liu, Zhiping; Tan, Xiansheng; Li, Chunhua (2021) SH3GL3 functions as a potent tumor suppressor in lung cancer in a SH3 domain dependent manner. En: Biochemical and Biophysical Research Communications. Vol. 534; pp. 787 - 794; 0006-291X; Consultado en: 2025/05/07/18:26:24. Disponible en: https://www.sciencedirect.com/science/article/pii/S0006291X20320362. Disponible en: 10.1016/j.bbrc.2020.10.107.
dc.source.bibliographicCitation (2025) Novel epigenetically deregulated genes in testicular cancer include homeobox genes and SCGB3A1 (HIN‐1). Consultado en: 2025/05/07/18:32:16. Disponible en: https://pathsocjournals.onlinelibrary.wiley.com/doi/abs/10.1002/path.2064.
dc.source.bibliographicCitationKim*1**, So Yeon; Lee*2*, Kyung Bok; *3**; Cho*4, Young Ho; Jeong*5, Do Youn; Yang*5, Hee Jong; Ryu*5, Myeong Seon; Yoo*1*, Yung Choon; *3 (2020) Inhibitory Effect of the Extract of Cheonggukjang Fermented with Bacillus amyloliquefaciens SCGB 1 on LPS-Induced Inflammation and Inflammatory Diseases. Vol. 49; No. 7; pp. 659 - 667; Consultado en: 2025/05/07/18:40:21. Disponible en: https://www.e-jkfn.org/journal/view.html?spage=659&volume=49&number=7.
dc.source.bibliographicCitationZafrakas, Menelaos; Petschke, Beate; Donner, Andreas; Fritzsche, Florian; Kristiansen, Glen; Knüchel, Ruth; Dahl, Edgar (2006) Expression analysis of mammaglobin A (SCGB2A2) and lipophilin B (SCGB1D2) in more than 300 human tumors and matching normal tissues reveals their co-expression in gynecologic malignancies. En: BMC Cancer. Vol. 6; No. 1; pp. 88 1471-2407; Consultado en: 2025/05/07/18:42:25. Disponible en: https://doi.org/10.1186/1471-2407-6-88. Disponible en: 10.1186/1471-2407-6-88.
dc.source.bibliographicCitationvan Schooneveld, Eleni; Wouters, Maartje CA; Van der Auwera, Ilse; Peeters, Dieter J.; Wildiers, Hans; Van Dam, Peter A.; Vergote, Ignace; Vermeulen, Peter B.; Dirix, Luc Y.; Van Laere, Steven J. (2012) Expression profiling of cancerous and normal breast tissues identifies microRNAs that are differentially expressed in serum from patients with (metastatic) breast cancer and healthy volunteers. En: Breast Cancer Research. Vol. 14; No. 1; pp. R34 1465-542X; Consultado en: 2025/05/07/18:43:23. Disponible en: https://doi.org/10.1186/bcr3127. Disponible en: 10.1186/bcr3127.
dc.source.bibliographicCitationCao, Jinlong; Wan, Shun; Chen, Siyu; Yang, Li (2023) ANXA6: a key molecular player in cancer progression and drug resistance. En: Discover Oncology. Vol. 14; No. 1; pp. 53 2730-6011; Consultado en: 2025/05/07/18:47:57. Disponible en: https://doi.org/10.1007/s12672-023-00662-x. Disponible en: 10.1007/s12672-023-00662-x.
dc.source.bibliographicCitationHuppi, Konrad; Volfovsky, Natalia; Mackiewicz, Mark; Runfola, Timothy; Jones, Tamara L.; Martin, Scott E.; Stephens, Robert; Caplen, Natasha J. (2007) MicroRNAs and genomic instability. En: Seminars in Cancer Biology. Non-random genomic instability in cancer: A fact, not an illusion; Vol. 17; No. 1; pp. 65 - 73; 1044-579X; Consultado en: 2025/05/07/18:49:50. Disponible en: https://www.sciencedirect.com/science/article/pii/S1044579X06000976. Disponible en: 10.1016/j.semcancer.2006.10.004.
dc.source.bibliographicCitationDai, Wenzhu; He, Jixiang; Zheng, Ling; Bi, Mingyu; Hu, Fei; Chen, Minju; Niu, Heng; Yang, Jingyu; Luo, Ying; Tang, Wenru; Sheng, Miaomiao (2019) miR-148b-3p, miR-190b, and miR-429 Regulate Cell Progression and Act as Potential Biomarkers for Breast Cancer. En: Journal of Breast Cancer. Vol. 22; No. 2; pp. 219 1738-6756, 2092-9900; Consultado en: 2025/05/07/18:51:25. Disponible en: https://ejbc.kr/DOIx.php?id=10.4048/jbc.2019.22.e19. Disponible en: 10.4048/jbc.2019.22.e19.
dc.source.bibliographicCitationTalaat, Iman Mamdouh; Hachim, Mahmood Yaseen; Hachim, Ibrahim Yaseen; Ibrahim, Ramez Abd El-Razak; Ahmed, Mohamed Abd El Rahman; Tayel, Hanan Yehia (2020) Bone marrow mammaglobin-1 (SCGB2A2) immunohistochemistry expression as a breast cancer specific marker for early detection of bone marrow micrometastases. En: Scientific Reports. Vol. 10; No. 1; pp. 13061 2045-2322; Consultado en: 2025/05/07/18:52:46. Disponible en: https://www.nature.com/articles/s41598-020-70012-2. Disponible en: 10.1038/s41598-020-70012-2.
dc.source.instnameinstname:Universidad del Rosario
dc.source.reponamereponame:Repositorio Institucional EdocUR
dc.subjectMicroARN (miARN)
dc.subjectSecretoglobina SCGB2A2 (SCGB2A2)
dc.subjecthsa-mir-184
dc.subjecthsa-mir-190b
dc.subjectCáncer de mama
dc.subject.keywordMicroRNAs (miRNAs)
dc.subject.keywordSecretoglobin B2A2 (SCGB2A2)
dc.subject.keywordhsa-mir-184
dc.subject.keywordhsa-mir-190b
dc.subject.keywordBreast cancer
dc.titleCo-expression of the mammaglobin (SCGB2A2) gene with hsa-miR-184 and hsa-miR-190b indicates their possible role in different oncogenic pathways in Breast cancer
dc.title.TranslatedTitleLa coexpresión del gen mamaglobina (SCGB2A2) con hsa-miR-184 y hsa-miR 190b indica su posible papel en diferentes vías oncogénicas en el cáncer de mama
dc.typemasterThesis
dc.type.hasVersioninfo:eu-repo/semantics/draft
dc.type.spaArtículo
local.department.reportEscuela de Ciencias e Ingeniería
local.regionesBogotá
Archivos
Bloque original
Mostrando1 - 4 de 4
Miniatura
Nombre:
Co-expression_of_the_mammaglobin_AbellaDuque-JuanFelipe-2025.pdf
Tamaño:
1.71 MB
Formato:
Adobe Portable Document Format
Descripción:
Descargar
Miniatura
Nombre:
Co-expression_of_the_mammaglobin_AbellaDuque-JuanFelipe-1-2025.pdf
Tamaño:
1.81 MB
Formato:
Adobe Portable Document Format
Descripción:
Descargar
Miniatura
Nombre:
Co-expression_of_the_mammaglobin_AbellaDuque-JuanFelipe-2-2025.zip
Tamaño:
184.22 KB
Formato:
Compressed Archive File
Descripción:
Descargar
Miniatura
Nombre:
Co-expression_of_the_mammaglobin_Referencias.ris
Tamaño:
62.15 KB
Formato:
Descripción:
Descargar
Colecciones
Maestría en Ciencias Naturales