Defining the prognostic role of MicroRNAs in cutaneous melanoma
Open accessAbstract
Breslow thickness (BT) is the most important histopathologic factor for primary melanoma staging. BT determines the margins for wide local excision whether sentinel lymph node biopsy should be performed and subsequent melanoma staging, and patient management. The correct determination of a 0.8-mm cutoff in melanoma is important for pathologists because discrepancies leading to a change in stage can have significant clinical implications, including incorrect and/or inappropriate prognostic information, investigation, management, and follow-up. Difficulties in BT determination are mostly represented by the presence of regression or melanoma associated with a pre-existing nevus. This study aimed at investigating a molecular parameter, namely microRNA (miRNA) expression, in reference to BT assessment. Melanoma cell proliferation is influenced by miRNA dysregulation. Indeed, some miRNAs sustain and induce proliferative signals or repress growth-suppressive pathways, thereby promoting melanoma carcinogenesis. To identify the miRNAs correlating with BT, we analyzed our global miRNA expression data of 20 thin melanomas and identified two potential candidates, miR-21-5p and miR-146a-5p. We assessed the expression of these two specific miRNAs in 90 archive formalin-fixed and paraffin-embedded samples of superficially spreading melanomas (SSMs) and 25 nodular melanomas from two independent cohorts and correlated the individual and combined miRNA expression with BT and other tumor characteristics. The individually normalized expression of miR-21-5p and miR-146a-5p showed a highly significant and linear correlation with BT in SSM, and their combined expression value was more strongly correlated (Pearson's r = 0.799, 95% CI = 0.71-0.86) than their individual expressions. This correlation was not significant in nodular melanoma. In SSM, we observed that the combined miRNA expression above or below 1.5 was significantly associated with overall survival and successfully identified all patients with relapsing SSM. We concluded that the combined assessment of miR-21-5p and miR-146a-5p expression in superficially spreading melanoma, in association with BT measurement, could aid pathologists in SSM staging.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
miR-21-5p and miR-146a-5p exhibit a substantial correlation with Breslow thickness in superficially spreading melanoma and may enhance standard histopathologic evaluation.
“Recent studies have highlighted the predictive significance of microRNA expression—specifically miR-21-5p and miR-146a-5p—as molecular markers that exhibit a substantial correlation with Breslow thickness in superficially spreading melanoma and may enhance standard histopathologic evaluation (8).”
From Revolutionizing dermatopathology using AI in skin diagnostics: scoping review (2026) · cites this paper as [8]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Analyzing real-time PCR data by the comparative CT method
Schmittgen, T. D., & Livak, K. J. (2008) · Nature Protocols · doi:10.1038/nprot.2008.73 · Cited by 26,190 · see citing works
Circulating microRNAs as stable blood-based markers for cancer detection
Mitchell, P. S., Parkin, R. K., Kroh, E. M., Fritz, B. R., Wyman, S. K., Pogosova-Agadjanyan, E. L., Peterson, A., Noteboom, J., O'Briant, K. C., Allen, A., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0804549105 · Cited by 7,969 · see citing works
microRNAs as oncogenes and tumor suppressors
Zhang, B., Pan, X., Cobb, G. P., & Anderson, T. A. (2006) · Developmental Biology · doi:10.1016/j.ydbio.2006.08.028 · Cited by 2,755 · see citing works
MicroRNAs bind to Toll-like receptors to induce prometastatic inflammatory response
Fabbri, M., Paone, A., Calore, F., Galli, R., Gaudio, E., Santhanam, R., Lovat, F., Fadda, P., Mao, C., Nuovo, G. J., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1209414109 · Cited by 1,558 · see citing works
Xi, Y., Nakajima, G., Gavin, E. J., Morris, C. G., Kudo, K., Hayashi, K., & Ju, J. (2007) · RNA · doi:10.1261/rna.642907 · Cited by 567 · see citing works
Tumor Thickness, Level of Invasion and Node Dissection in Stage I Cutaneous Melanoma
Breslow, A. (1975) · Annals of Surgery · doi:10.1097/00000658-197511000-00007 · Cited by 527 · see citing works
Elmore, J. G., Barnhill, R. L., Elder, D. E., Longton, G., PEPE, M. S., Reisch, L. M., Carney, P. A., Titus, L. J., Nelson, H. D., Onega, T., et al. (2017) · BMJ · doi:10.1136/bmj.j2813 · Cited by 449 · see citing works
Huber, V., Vallacchi, V., Fleming, V., Hu, X., Cova, A., Dugo, M., Shahaj, E., Sulsenti, R., Vergani, E., Filipazzi, P., et al. (2018) · Journal of Clinical Investigation · doi:10.1172/jci98060 · Cited by 253 · see citing works
Mueller, D. W., Rehli, M., & Bosserhoff, A. (2009) · Journal of Investigative Dermatology · doi:10.1038/jid.2008.452 · Cited by 246 · see citing works
MicroRNAs in human cancer: from research to therapy
Negrini, M., Ferracin, M., Sabbioni, S., & Croce, C. M. (2007) · Journal of Cell Science · doi:10.1242/jcs.03450 · Cited by 239 · see citing works
Doleshal, M., Magotra, A. A., Choudhury, B., Cannon, B. D., Labourier, E., & Szafranska, A. E. (2008) · Journal of Molecular Diagnostics · doi:10.2353/jmoldx.2008.070153 · Cited by 229 · see citing works
MicroRNAs: Essential players in the regulation of inflammation
Rebane, A., & Akdiş, C. A. (2013) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2013.04.011 · Cited by 213 · see citing works
Signatures of MicroRNAs and Selected MicroRNA Target Genes in Human Melanoma
Philippidou, D., Schmitt, M., Moser, D., Margue, C., Nazarov, P. V., Muller, A., Vallar, L., Nashan, D., Behrmann, I., & Kreis, S. (2010) · Cancer Research · doi:10.1158/0008-5472.can-09-4512 · Cited by 210 · see citing works
Satzger, I., Mattern, A., Küttler, U., Weinspach, D., Völker, B., Kapp, A., & Gutzmer, R. (2009) · International Journal of Cancer · doi:10.1002/ijc.24960 · Cited by 200 · see citing works
Characterization of the Melanoma miRNAome by Deep Sequencing
Stark, M. S., Tyagi, S., Nancarrow, D. J., Boyle, G. M., Cook, A. L., Whiteman, D. C., Parsons, P. G., Schmidt, C., Sturm, R. A., & Hayward, N. K. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009685 · Cited by 196 · see citing works
Lo, S., Scolyer, R. A., & Thompson, J. F. (2018) · Annals of Surgical Oncology · doi:10.1245/s10434-017-6325-1 · Cited by 181 · see citing works
Histological Diagnosis of Nevi and Melanoma
Massi, G., & LeBoit, P. E. (2014) · doi:10.1007/978-3-642-37311-4 · Cited by 155 · see citing works
MicroRNA profiling for the identification of cancers with unknown primary tissue‐of‐origin
Ferracin, M., Pedriali, M., Veronese, A., Zagatti, B., Gafà, R., Magri, E., Lunardi, M., Munerato, G., Querzoli, G., Maestri, I., et al. (2011) · The Journal of Pathology · doi:10.1002/path.2915 · Cited by 135 · see citing works
Liu, A., Tetzlaff, M. T., VanBelle, P., Elder, D. E., Feldman, M. D., Tobias, J. W., Sepulveda, A. R., & Xu, X. (2009) · Europe PMC (PubMed Central) · Cited by 132 · see citing works
In-Depth Characterization of microRNA Transcriptome in Melanoma
Kozubek, J. A., Ma, Z., Fleming, E. S., Duggan, T., Wu, R., Shin, D., & Dadras, S. S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0072699 · Cited by 123 · see citing works
miR-146a promotes the initiation and progression of melanoma by activating Notch signaling
Forloni, M., Dogra, S. K., Dong, Y., Conte, D., Ou, J., Zhu, L. J., Deng, A., Mahalingam, M., Green, M. R., & Wajapeyee, N. (2014) · eLife · doi:10.7554/elife.01460 · Cited by 121 · see citing works
Data Set for Pathology Reporting of Cutaneous Invasive Melanoma
Scolyer, R. A., Judge, M. J., Evans, A. T., Frishberg, D. P., Prieto, V. G., Thompson, J. F., Trotter, M. J., WALSH, M. Y., Walsh, N. M. G., & Ellis, D. W. (2013) · The American Journal of Surgical Pathology · doi:10.1097/pas.0b013e31829d7f35 · Cited by 118 · see citing works
MicroRNAs in melanoma development and resistance to target therapy
Fattore, L., Costantini, S., Malpicci, D., Ruggiero, C. F., Ascierto, P. A., Croce, C. M., Mancini, R., & Ciliberto, G. (2017) · Oncotarget · doi:10.18632/oncotarget.14763 · Cited by 111 · see citing works
Regression in primary cutaneous melanoma: etiopathogenesis and clinical significance
Aung, P. P., Nagarajan, P., & Prieto, V. G. (2017) · Laboratory Investigation · doi:10.1038/labinvest.2017.8 · Cited by 104 · see citing works
Primary Melanoma Histologic Subtype: Impact on Survival and Response to Therapy
Lattanzi, M. W., Lee, Y., Simpson, D., Moran, U., Darvishian, F., Kim, R. H., Hernando, E., Polsky, D., Hanniford, D., Shapiro, R. L., et al. (2018) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djy086 · Cited by 102 · see citing works
High stability of microRNAs in tissue samples of compromised quality
Peiró-Chova, L., Peña-Chilet, M., López‐Guerrero, J. A., García‐Giménez, J. L., Alonso-Yuste, E., Burgués, O., Lluch, A. M., Ferrer-Lozano, J., & Ribas, G. (2013) · Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin · doi:10.1007/s00428-013-1485-2 · Cited by 86 · see citing works
Grignol, V. P., Fairchild, E. T., Zimmerer, J. M., Lesinski, G. B., Walker, M. J., MAGRO, C. M. J., Kacher, J. E., Karpa, V. I., Clark, J., Nuovo, G. J., et al. (2011) · British Journal of Cancer · doi:10.1038/bjc.2011.288 · Cited by 77 · see citing works
Jiang, L., Lv, X.-X., Li, J., Li, J., Li, X., Li, W., & Li, Y. (2011) · Acta Histochemica · doi:10.1016/j.acthis.2011.11.001 · Cited by 76 · see citing works
Cook, M. G., Spatz, A., Bröcker, E., & Ruiter, D. J. (2002) · The Journal of Pathology · doi:10.1002/path.1093 · Cited by 62 · see citing works
Identification of Metastasis-Suppressive microRNAs in Primary Melanoma
Hanniford, D., Segura, M. F., Zhong, J., Philips, E. A., Jirau-Serrano, X., Darvishian, F., Berman, R. S., Shapiro, R. L., Pavlick, A. C., Brown, B. D., et al. (2015) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/dju494 · Cited by 52 · see citing works
MicroRNA Ratios Distinguish Melanomas from Nevi
Torres, R., Lang, U. E., Hejna, M., Shelton, S. J., Joseph, N. M., Shain, A. H., Yeh, I., Wei, M. L., Oldham, M. C., Bastian, B. C., et al. (2019) · Journal of Investigative Dermatology · doi:10.1016/j.jid.2019.06.126 · Cited by 52 · see citing works
Howell, P., Li, X., Riker, A. I., & Xi, Y. (2010) · PubMed Central · Cited by 45 · see citing works
Riefolo, M., Porcellini, E., Dika, E., Broseghini, E., & Ferracin, M. (2018) · Molecular Oncology · doi:10.1002/1878-0261.12412 · Cited by 43 · see citing works
Prognostic role of the histological subtype of melanoma on the hands and feet in Caucasians
Carrera, C., Gual, A. F., Díaz, A., Puig‐Butillé, J. A., Noguès, S., Vilalta, A., Conill, C., Rull, R., Vilana, R., Arguis, P., et al. (2017) · Melanoma Research · doi:10.1097/cmr.0000000000000340 · Cited by 35 · see citing works
Elmore, J. G., Elder, D. E., Barnhill, R. L., Knezevich, S. R., Longton, G., Titus, L. J., Weinstock, M. A., PEPE, M. S., Nelson, H. D., Reisch, L. M., et al. (2018) · JAMA Network Open · doi:10.1001/jamanetworkopen.2018.0083 · Cited by 31 · see citing works
miR-146a promotes cell migration and invasion in melanoma by directly targeting SMAD4
Pu, W., Shang, Y., Shao, Q., & Yuan, X. (2018) · Oncology Letters · doi:10.3892/ol.2018.8172 · Cited by 26 · see citing works
Reproducibility of AJCC Staging Parameters in Primary Cutaneous Melanoma: An Analysis of 4,924 Cases
Niebling, M. G., Haydu, L. E., Karim, R. Z., Thompson, J. F., & Scolyer, R. A. (2013) · Annals of Surgical Oncology · doi:10.1245/s10434-013-3092-5 · Cited by 25 · see citing works
Outcomes and prognostic factors in superficial spreading melanoma
Egger, M. E., Stepp, L. O., Callender, G. G., Quillo, A. R., Martin, R. C. G., Scoggins, C. R., Stromberg, A. J., & McMasters, K. M. (2013) · The American Journal of Surgery · doi:10.1016/j.amjsurg.2013.09.003 · Cited by 24 · see citing works
Outcomes and prognostic factors in nodular melanomas
Egger, M. E., Dunki-Jacobs, E. M., Callender, G. G., Quillo, A. R., Scoggins, C. R., Martin, R. C. G., Stromberg, A. J., & McMasters, K. M. (2012) · Surgery · doi:10.1016/j.surg.2012.07.006 · Cited by 16 · see citing works
Bhoyrul, B., Brent, G., Elliott, F., McLorinan, J., Wilson, A., Peach, H., Mathew, B., & Mitra, A. (2019) · Journal of Clinical Pathology · doi:10.1136/jclinpath-2019-205767 · Cited by 15 · see citing works
The use of sequential serial sectioning of thin melanomas in determining maximum Breslow depth
Patrick, R. J., Corey, S., & Glass, L. F. (2007) · Journal of the American Academy of Dermatology · doi:10.1016/j.jaad.2006.02.007 · Cited by 14 · see citing works
Taylor, L. A., Hood, K., Reisch, L. M., Elmore, J. G., Piepkorn, M. W., Barnhill, R. L., Knezevich, S. R., Radick, A. C., & Elder, D. E. (2018) · Journal of Cutaneous Pathology · doi:10.1111/cup.13265 · Cited by 11 · see citing works
Regressing and Regressed Melanoma
Massi, G., & LeBoit, P. E. (2004) · Steinkopff eBooks · doi:10.1007/978-3-7985-1943-5_47 · Cited by 8 · see citing works
Clinical and pathologic factors associated with deep transection of biopsies of invasive melanoma
Woodcock, J. L., Eyre, Z. W., Stoddard, G. J., Duffin, K. C., & Bowen, A. R. (2017) · Journal of the American Academy of Dermatology · doi:10.1016/j.jaad.2017.04.1134 · Cited by 7 · see citing works
Flagged first, then by citations
2 of the 46 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Tonella, L., Pala, V., Ponti, R., Rubatto, M., Gallo, G., Mastorino, L., Avallone, G., Merli, M., Agostini, A., Fava, P., et al. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22094561 · Cited by 38 · see citing works
“MiRNA expression can be detected using PCR and microarray techniques on resected tumor specimens as well as in blood, since a proportion of miRNAs originating from tumors enter the circulation, allowing for non-invasive detection [66,67].”
BackgroundRigg, E., Wang, J., Xue, Z., Lunavat, T. R., Liu, G., Hoang, T., Parajuli, H., Han, M., Bjerkvig, R., Nazarov, P. V., et al. (2023) · Journal of Extracellular Vesicles · doi:10.1002/jev2.12363 · Cited by 36 · see citing works
“In this context, prior clinical studies suggest that miR-146a-5p is overexpressed in both primary and metastatic lesions, but according to an in vivo melanoma progression model, it is reduced in circulating tumour cells (CTCs), indicating a site-specific mechanism of action (Dika et al., 2020; Raimo et al., 2016).”
BackgroundCutaneous and Mucosal Melanomas of Uncommon Sites: Where Do We Stand Now?
Dika, E., Lambertini, M., Pellegrini, C., Veronesi, G., Melotti, B., Riefolo, M., Sperandi, F., Patrizi, A., Ricci, C., Mussi, M., et al. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10030478 · Cited by 30 · see citing works
“Future perspectives may arise from a deeper understanding of the molecular and biological mechanisms of melanomas, including microRNA expression, splicing and immunotype, in order to understand the other pathogenetic triggers and develop new target therapies [1,98,99].”
BackgroundChen, X., Liu, S., Han, D., Han, D., Sun, W., Zhao, X.-C., Liang, J., & Yu, L. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2020.586085 · Cited by 29 · see citing works
Non-coding RNA dysregulation in skin cancers
Durante, G., Comito, F., Lambertini, M., Broseghini, E., Dika, E., & Ferracin, M. (2021) · Essays in Biochemistry · doi:10.1042/ebc20200048 · Cited by 27 · see citing works
A new era of cancer immunotherapy: vaccines and miRNAs
Sareen, G., Mohan, M., Mannan, A., Dua, K., & Singh, T. G. (2025) · Cancer Immunology Immunotherapy · doi:10.1007/s00262-025-04011-5 · Cited by 26 · see citing works
“Inhibition of miR-21-5p in melanoma cell lines diminishes cell proliferation and enhances apoptosis via elevating the expression of PDCD4, PTEN, and BTG2. miR-21 can additionally associate with toll-like receptor 8, resulting in toll-like receptor-mediated activation of NF-kB [122].”
The pleiotropic roles of circular and long noncoding RNAs in cutaneous melanoma
Montico, B., Giurato, G., Pecoraro, G., Salvati, A., Covre, A., Colizzi, F., Steffan, A., Weisz, A., Maio, M., Sigalotti, L., et al. (2021) · Molecular Oncology · doi:10.1002/1878-0261.13034 · Cited by 22 · see citing works
Diagnostic and Prognostic Value of microRNAs in Patients with Laryngeal Cancer: A Systematic Review
Broseghini, E., Filippini, D. M., Fabbri, L., Leonardi, R., Abeshi, A., Molin, D. D., Fermi, M., Ferracin, M., & Fernandez, I. J. (2023) · Non-Coding RNA · doi:10.3390/ncrna9010009 · Cited by 15 · see citing works
“In addition to circulating miRNAs, tissue miRNAs can also be applied to confirm the initial pathological classification and indicate the prognosis associated with cancer development [203].”
BackgroundAssociation of miR-146a-5p and miR-21-5p with Prognostic Features in Melanomas
Naddeo, M., Broseghini, E., Venturi, F., Vaccari, S., Corti, B., Lambertini, M., Ricci, C., Fontana, B., Durante, G., Pariali, M., et al. (2024) · Cancers · doi:10.3390/cancers16091688 · Cited by 14 · see citing works
“Samples ( n = 117) previously analyzed in Dika et al. are also included [65].”
BackgroundMethodInfluentialYamamoto, M., Sickle‐Santanello, B., Beard, T. L., Essner, R., Martin, B., Bailey, C. N., & Guenther, J. M. (2023) · Current Medical Research and Opinion · doi:10.1080/03007995.2023.2165813 · Cited by 13 · see citing works
Jones, N., & NONAKA, T. (2024) · Frontiers in Genetics · doi:10.3389/fgene.2024.1339357 · Cited by 12 · see citing works
“The altered expression of miRNA levels have been established as a prognostic indicator correlating with survival time or relapse in patients (Lu et al., 2019; Dika et al., 2020).”
BackgroundCollatuzzo, G., Boffetta, P., Dika, E., Visci, G., Zunarelli, C., Mastroeni, S., Antonelli, G., & Fortes, C. (2022) · International Archives of Occupational and Environmental Health · doi:10.1007/s00420-022-01935-8 · Cited by 11 · see citing works
“However, the role of these mechanisms in the oncogenic transformation of melanocytes is yet to be determined (Ray et al. 2014, Riefolo et al. 2019; Dika et al. 2020).”
BackgroundExploring the Common Mutational Landscape in Cutaneous Melanoma and Pancreatic Cancer
Broseghini, E., Venturi, F., Veronesi, G., Scotti, B., Migliori, M., Marini, D., Ricci, C., Casadei, R., Ferracin, M., & Dika, E. (2024) · Pigment Cell & Melanoma Research · doi:10.1111/pcmr.13210 · Cited by 9 · see citing works
Venturi, F., Magnaterra, E., Scotti, B., Ferracin, M., & Dika, E. (2025) · Cancers · doi:10.3390/cancers17081281 · Cited by 8 · see citing works
Expression Patterns of microRNAs and Associated Target Genes in Ulcerated Primary Cutaneous Melanoma
DiVincenzo, M. J., Schwarz, E. J., Ren, C., Barricklow, Z., Moufawad, M., Yu, L., Fadda, P., Angell, C. D., Sun, S., Howard, J. H., et al. (2022) · Journal of Investigative Dermatology · doi:10.1016/j.jid.2022.09.654 · Cited by 8 · see citing works
Estal, R. M., Bustos, B. D. U., Pérez-Simó, G., Farinos, J. S., Torres‐Navarro, I., de Miquel, V. A., Sánchez, R. B., Marco, V. S., Ros, M. L., Suela, S. P., et al. (2020) · Melanoma Research · doi:10.1097/cmr.0000000000000709 · Cited by 6 · see citing works
Machine learning to detect melanoma exploiting nuclei morphology and Spatial organization
Veronesi, G., Curti, N., Gardini, A., Querzoli, G., Castellani, G., & Dika, E. (2025) · Scientific Reports · doi:10.1038/s41598-025-02913-z · Cited by 6 · see citing works
Dysplastic nevi and melanoma: microRNAs tell a divergent story
Durante, G., Veronesi, G., Misciali, C., Riefolo, M., Lambertini, M., Tartari, F., Ricci, C., Ferracin, M., & Dika, E. (2022) · Pathology - Research and Practice · doi:10.1016/j.prp.2022.153942 · Cited by 5 · see citing works
Venturi, F., Magnaterra, E., Gualandi, A., Scotti, B., Baraldi, C., Alessandrini, A. M., Veneziano, L., Cama, E. M., Melotti, B., Marchese, P. V., et al. (2025) · Diagnostics · doi:10.3390/diagnostics15233054 · Cited by 4 · see citing works
Napoletano, S., Dannhauser, D., Netti, P. A., & Causa, F. (2024) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2024.12.023 · Cited by 3 · see citing works
Nevus-Associated and De Novo Melanoma: A Cross-Sectional Study on Prognostic Differences
Dika, E., Venturi, F., Scotti, B., Gualandi, A., Baraldi, C., Vaccari, S., Posenato, S., Zengarini, C., Alessandrini, A. M., Veneziano, L., et al. (2025) · Cancers · doi:10.3390/cancers17233859 · Cited by 2 · see citing works
“…and transcriptomic observations strengthen the concept that NAM and DNM represent biologically distinct pathways of melanomagenesis—one following a nevus-to-melanoma progression model and the other developing independently from isolated melanocytes accumulating pathogenic mutations [31–34].”
Pathophysiology roles and translational opportunities of miRNAs in cutaneous melanoma
Ferracin, M., Broseghini, E., & Dika, E. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-822287-4.00022-0 · Cited by 2 · see citing works
Non-Coding RNA Investigations in Cutaneous Melanoma: A Step forward in Discovering Novel Biomarkers
Ribero, S., Lambertini, M., Ferracin, M., & Dika, E. (2023) · Journal of Investigative Dermatology · doi:10.1016/j.jid.2023.02.005 · Cited by 2 · see citing works
Revolutionizing dermatopathology using AI in skin diagnostics: scoping review
Rammal, R., Mohy U Din, A., & Alam, T. (2026) · Frontiers in Medicine · doi:10.3389/fmed.2026.1614681 · Cited by 1 · see citing works
“Recent studies have highlighted the predictive significance of microRNA expression—specifically miR-21-5p and miR-146a-5p—as molecular markers that exhibit a substantial correlation with Breslow thickness in superficially spreading melanoma and may enhance standard histopathologic evaluation (8).”
Germline variants in CDKN2A wild‐type melanoma prone families
Iversen, G. T., Loeng, M., Holth, A. L., Lønning, P. E., Geisler, J., & Knappskog, S. (2025) · Molecular Oncology · doi:10.1002/1878-0261.70020 · Cited by 1 · see citing works
97 Machine learning algorithms in the prognosis of cutaneous melanoma: a population-based study
Jin, T., Yao, D., Xu, Y., Zhang, X., Dong, X., & Bai, H. (2025) · Discover Oncology · doi:10.1007/s12672-025-02129-7 · Cited by 1 · see citing works
“Furthermore, our study exclusively encompassed clinical factors, precluding an analysis of melanoma gene expression [32], microRNAs [33, 34], and other biomarkers.”
van Laar, R. K., Coombs, L., Love, C. G., Barnes, C., Bookallil, L., Uzzell, C., Saad, M., Winship, I., Kaub, P., & Langren, A. (2026) · EJC Skin Cancer · doi:10.1016/j.ejcskn.2026.101127 · Cited by 1 · see citing works
MicroRNAs in melanoma progression and metastasis: From mechanisms to therapy resistance
Ellakwa, D. E., Mohamed, E. O., Wadan, A. S., Mahmoud, N. E., Elbasiony, S. E. M., Atiaa, A. G., & Ellakwa, T. E. (2026) · Human Gene · doi:10.1016/j.humgen.2026.201566 · Cited by 1 · see citing works
Orlandi, E., Tomi, E. D., Campagnari, R., Belpinati, F., Rodolfo, M., Vergani, E., Malerba, G., Gomez‐Lira, M., Menegazzi, M., & Romanelli, M. G. (2022) · Current Issues in Molecular Biology · doi:10.3390/cimb44100326 · Cited by 1 · see citing works
“Indeed, it is upregulated by the oncogenic kinases BRAF and NRAS, and its overexpression in melanoma cells promotes proliferation and leads to tumor formation when overexpressing cells are injected in mice [26,55].”
BackgroundNon-coding RNA profiling in BRAFV600E-mutant cutaneous melanoma before and after Spry1 depletion
Lamberti, J., Memoli, D., Montico, B., Silvestro, F., Guerrieri, R., Colizzi, F., Weisz, A., Salvati, A., Fratta, E., & Nassa, G. (2025) · Scientific Data · doi:10.1038/s41597-025-05807-x · Cited by 1 · see citing works
“As a result, an increasing amount of studies have investigated the predictive and prognostic potential of specific miRNA signatures in CM 28,29 .”
Paysano, M. L. B. D. A., Kreuz, M., Rebelo, T. G., Talah, B. A. D., Lôbo, A. D. O. M., da Silva, E. R., & de Moraes, F. C. A. (2026) · Melanoma Research · doi:10.1097/cmr.0000000000001090
Towards Accurate Breslow Measurements: Mitigating Issues in Histopathological Imaging
Curti, N., Dall’Olio, L., Veronesi, G., Querzoli, G., Venturi, F., Sisi, A., Peluso, S., Castellani, G., & Dika, E. (2026) · Entropy · doi:10.3390/e28060643
Circulating tumor cells as biomarkers in melanoma: techniques, challenges, and clinical applications
Broseghini, E., Durante, G., Soru, A., Bianchi, F., Comito, F., Dika, E., Ferracin, M., & Gallerani, G. (2026) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2026.1857720
“In early-stage melanoma (stages I–II), key prognostic features include Breslow thickness, ulceration, mitotic rate, and tumor-infiltrating lymphocytes (TILs) (Dika et al., 2020; Scolyer et al., 2020).”
Thin Nevus-Associated Melanoma: Beyond MIA Score Risk Stratification
Venturi, F., Orlando, M. L., Corti, B., Marchese, P. V., Comito, F., Melotti, B., Magnaterra, E., Scotti, B., Alessandrini, A. M., Veneziano, L., et al. (2026) · Cancers · doi:10.3390/cancers18152456
“…in thin nevus-associated melanoma, exploration of quantitative or AI-assisted TIL scoring methods to enhance prognostic accuracy, and investigation of emerging biomarkers such as gene expression profiling or circulating tumor DNA to complement conventional clinicopathologic assessment [53–59].”
Venturi, F., & Dika, E. (2026) · Onco · doi:10.3390/onco6030039
Venturi, F., Baraldi, C., Corti, B., Melotti, B., Magnaterra, E., Scotti, B., & Dika, E. (2026) · Cancers · doi:10.3390/cancers18172858
Reynolds, A. Z., Corcoran, D. L., Luo, L., Busam, K. J., Lezcano, C. M., Amos, C. I., Argibay, D., Shen, R., Begg, C. B., Thomas, N. E., et al. (2026) · medRxiv · doi:10.64898/2026.09.04.26362289
Skin-Derived Non-Coding RNAs as Potential Biomarkers and Therapeutic Targets
Zen, J. L., Le, Q. M. N., Li, S., & Hanna, G. B. (2026) · Non-Coding RNA · doi:10.3390/ncrna12050038
“Evaluating primary melanoma, Dika et al. [70] demonstrated that combined tissue expression of miR-21-5p and miR-146a-5p correlated with Breslow thickness and predicted overall survival in patients with superficially spreading melanoma.”
- Authors
- Dika, E., Riefolo, M., Porcellini, E., Broseghini, E., Ribero, S., Senetta, R., Osella-Abate, S., Scarfì, F., Lambertini, M., Veronesi, G., Patrizi, A., Fanti, P. A., & Ferracin, M.
- Affiliations
- IRCCS Azienda Ospedliero-Universitaria di Bologna Policlinico di Sant'Orsola (IT)
- University of Bologna (IT)
- University of Turin (IT)
- Corresponding author
- Dika, Emi
- ORCID
- Venue
- Journal of Investigative Dermatology
- Publisher
- Elsevier BV
- Published
- 2020-11
- Volume
- 140
- Issue
- 11
- Pages
- 2260-2267
- ISSN
- 0022-202X (ISSN-L)
- OpenAlex
- W3015584316
- Cited by
- 39
- References
- 46
- Citations by year
- 2026: 12 · 2025: 8 · 2024: 4 · 2023: 4 · 2022: 5 · 2021: 5 · 2020: 1
- FWCI
- 1.28
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of Investigative Dermatology (publishedVersion)
- PubMed (publishedVersion)
- Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion)
- Institutional Research Information System University of Turin (University of Turin) (submittedVersion)
- Funders
- Associazione Italiana per la Ricerca sul Cancro
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Health Sciences › Medicine › Oncology › Cutaneous Melanoma Detection and Management
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer-related molecular mechanisms research
- Keywords
- cutaneous melanoma, Breslow thickness, microRNA expression, miR-21-5p, miR-146a, nodular melanoma, tumor staging, prognostic factors, overall survival, melanoma regression, sentinel lymph node biopsy
- MeSH terms
- Adult, Aged, Aged, 80 and over, Female, Humans, Male, Melanoma, Middle Aged, Prognosis, Skin Neoplasms, MicroRNAs
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review