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Published in: Journal of Translational Medicine 1/2023

Open Access 01-12-2023 | Research

Altered splicing machinery in lung carcinoids unveils NOVA1, PRPF8 and SRSF10 as novel candidates to understand tumor biology and expand biomarker discovery

Authors: Ricardo Blázquez-Encinas, Víctor García-Vioque, Teresa Caro-Cuenca, María Trinidad Moreno-Montilla, Federica Mangili, Emilia Alors-Pérez, Sebastian Ventura, Aura D. Herrera-Martínez, Paula Moreno-Casado, Marco A. Calzado, Ángel Salvatierra, María A. Gálvez-Moreno, Lynnette Fernandez-Cuesta, Matthieu Foll, Raúl M. Luque, Nicolas Alcala, Sergio Pedraza-Arevalo, Alejandro Ibáñez-Costa, Justo P. Castaño

Published in: Journal of Translational Medicine | Issue 1/2023

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Abstract

Background

Lung neuroendocrine neoplasms (LungNENs) comprise a heterogeneous group of tumors ranging from indolent lesions with good prognosis to highly aggressive cancers. Carcinoids are the rarest LungNENs, display low to intermediate malignancy and may be surgically managed, but show resistance to radiotherapy/chemotherapy in case of metastasis. Molecular profiling is providing new information to understand lung carcinoids, but its clinical value is still limited. Altered alternative splicing is emerging as a novel cancer hallmark unveiling a highly informative layer.

Methods

We primarily examined the status of the splicing machinery in lung carcinoids, by assessing the expression profile of the core spliceosome components and selected splicing factors in a cohort of 25 carcinoids using a microfluidic array. Results were validated in an external set of 51 samples. Dysregulation of splicing variants was further explored in silico in a separate set of 18 atypical carcinoids. Selected altered factors were tested by immunohistochemistry, their associations with clinical features were assessed and their putative functional roles were evaluated in vitro in two lung carcinoid-derived cell lines.

Results

The expression profile of the splicing machinery was profoundly dysregulated. Clustering and classification analyses highlighted five splicing factors: NOVA1, SRSF1, SRSF10, SRSF9 and PRPF8. Anatomopathological analysis showed protein differences in the presence of NOVA1, PRPF8 and SRSF10 in tumor versus non-tumor tissue. Expression levels of each of these factors were differentially related to distinct number and profiles of splicing events, and were associated to both common and disparate functional pathways. Accordingly, modulating the expression of NOVA1, PRPF8 and SRSF10 in vitro predictably influenced cell proliferation and colony formation, supporting their functional relevance and potential as actionable targets.

Conclusions

These results provide primary evidence for dysregulation of the splicing machinery in lung carcinoids and suggest a plausible functional role and therapeutic targetability of NOVA1, PRPF8 and SRSF10.
Appendix
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Literature
1.
go back to reference Nicholson AG, Tsao MS, Beasley MB, Borczuk AC, Brambilla E, Cooper WA, et al. The 2021 WHO classification of lung tumors: impact of advances since 2015. J Thorac Oncol Off Publ Int Assoc Study Lung Cancer. 2022;17(3):362–87. Nicholson AG, Tsao MS, Beasley MB, Borczuk AC, Brambilla E, Cooper WA, et al. The 2021 WHO classification of lung tumors: impact of advances since 2015. J Thorac Oncol Off Publ Int Assoc Study Lung Cancer. 2022;17(3):362–87.
2.
go back to reference Swarts DRA, Scarpa A, Corbo V, Van Criekinge W, van Engeland M, Gatti G, et al. MEN1 gene mutation and reduced expression are associated with poor prognosis in pulmonary carcinoids. J Clin Endocrinol Metab. 2014;99(2):E374-378.PubMedCrossRef Swarts DRA, Scarpa A, Corbo V, Van Criekinge W, van Engeland M, Gatti G, et al. MEN1 gene mutation and reduced expression are associated with poor prognosis in pulmonary carcinoids. J Clin Endocrinol Metab. 2014;99(2):E374-378.PubMedCrossRef
3.
go back to reference Simbolo M, Mafficini A, Sikora KO, Fassan M, Barbi S, Corbo V, et al. Lung neuroendocrine tumours: deep sequencing of the four World Health Organization histotypes reveals chromatin-remodelling genes as major players and a prognostic role for TERT, RB1, MEN1 and KMT2D. J Pathol. 2017;241(4):488–500.PubMedCrossRef Simbolo M, Mafficini A, Sikora KO, Fassan M, Barbi S, Corbo V, et al. Lung neuroendocrine tumours: deep sequencing of the four World Health Organization histotypes reveals chromatin-remodelling genes as major players and a prognostic role for TERT, RB1, MEN1 and KMT2D. J Pathol. 2017;241(4):488–500.PubMedCrossRef
4.
go back to reference Fernandez-Cuesta L, Peifer M, Lu X, Sun R, Ozretić L, Seidal D, et al. Frequent mutations in chromatin-remodeling genes in pulmonary carcinoids. Nat Commun. 2014;27(5):3518.CrossRef Fernandez-Cuesta L, Peifer M, Lu X, Sun R, Ozretić L, Seidal D, et al. Frequent mutations in chromatin-remodeling genes in pulmonary carcinoids. Nat Commun. 2014;27(5):3518.CrossRef
5.
go back to reference Swarts DRA, Van Neste L, Henfling MER, Eijkenboom I, Eijk PP, van Velthuysen ML, et al. An exploration of pathways involved in lung carcinoid progression using gene expression profiling. Carcinogenesis. 2013;34(12):2726–37.PubMedCrossRef Swarts DRA, Van Neste L, Henfling MER, Eijkenboom I, Eijk PP, van Velthuysen ML, et al. An exploration of pathways involved in lung carcinoid progression using gene expression profiling. Carcinogenesis. 2013;34(12):2726–37.PubMedCrossRef
6.
go back to reference Swarts DRA, Henfling MER, Van Neste L, van Suylen RJ, Dingemans AMC, Dinjens WNM, et al. CD44 and OTP are strong prognostic markers for pulmonary carcinoids. Clin Cancer Res Off J Am Assoc Cancer Res. 2013;19(8):2197–207.CrossRef Swarts DRA, Henfling MER, Van Neste L, van Suylen RJ, Dingemans AMC, Dinjens WNM, et al. CD44 and OTP are strong prognostic markers for pulmonary carcinoids. Clin Cancer Res Off J Am Assoc Cancer Res. 2013;19(8):2197–207.CrossRef
7.
go back to reference Papaxoinis G, Nonaka D, O’Brien C, Sanderson B, Krysiak P, Mansoor W. Prognostic significance of CD44 and Orthopedia Homeobox Protein (OTP) expression in pulmonary carcinoid tumours. Endocr Pathol. 2017;28(1):60–70.PubMedCrossRef Papaxoinis G, Nonaka D, O’Brien C, Sanderson B, Krysiak P, Mansoor W. Prognostic significance of CD44 and Orthopedia Homeobox Protein (OTP) expression in pulmonary carcinoid tumours. Endocr Pathol. 2017;28(1):60–70.PubMedCrossRef
8.
go back to reference Alcala N, Leblay N, Gabriel AA, Mangiante L, Hervás D, Giffon T, et al. Integrative and comparative genomic analyses identify clinically relevant pulmonary carcinoid groups and unveil the supra-carcinoids. Nat Commun. 2019;10(1):3407.PubMedCrossRefPubMedCentral Alcala N, Leblay N, Gabriel AA, Mangiante L, Hervás D, Giffon T, et al. Integrative and comparative genomic analyses identify clinically relevant pulmonary carcinoid groups and unveil the supra-carcinoids. Nat Commun. 2019;10(1):3407.PubMedCrossRefPubMedCentral
9.
go back to reference Derks JL, Rijnsburger N, Hermans BCM, Moonen L, Hillen LM, von der Thüsen JH, et al. Clinical-pathologic challenges in the classification of pulmonary neuroendocrine neoplasms and targets on the horizon for future clinical practice. J Thorac Oncol Off Publ Int Assoc Study Lung Cancer. 2021;16(10):1632–46. Derks JL, Rijnsburger N, Hermans BCM, Moonen L, Hillen LM, von der Thüsen JH, et al. Clinical-pathologic challenges in the classification of pulmonary neuroendocrine neoplasms and targets on the horizon for future clinical practice. J Thorac Oncol Off Publ Int Assoc Study Lung Cancer. 2021;16(10):1632–46.
10.
go back to reference Simbolo M, Barbi S, Fassan M, Mafficini A, Ali G, Vicentini C, et al. Gene expression profiling of lung atypical carcinoids and large cell neuroendocrine carcinomas identifies three transcriptomic subtypes with specific genomic alterations. J Thorac Oncol Off Publ Int Assoc Study Lung Cancer. 2019;14(9):1651–61. Simbolo M, Barbi S, Fassan M, Mafficini A, Ali G, Vicentini C, et al. Gene expression profiling of lung atypical carcinoids and large cell neuroendocrine carcinomas identifies three transcriptomic subtypes with specific genomic alterations. J Thorac Oncol Off Publ Int Assoc Study Lung Cancer. 2019;14(9):1651–61.
11.
go back to reference Pelosi G. The natural history in lung neuroendocrine neoplasms: the stone guest who matters. J Thorac Oncol Off Publ Int Assoc Study Lung Cancer. 2022;17(2):e5-8. Pelosi G. The natural history in lung neuroendocrine neoplasms: the stone guest who matters. J Thorac Oncol Off Publ Int Assoc Study Lung Cancer. 2022;17(2):e5-8.
12.
go back to reference Derks JL, Dingemans AMC, Speel EJM. Molecular knowledge and clinical relevance - stepping stones in improving classification of lung neuroendocrine neoplasms. J Thorac Oncol Off Publ Int Assoc Study Lung Cancer. 2022;17(2):e8-10. Derks JL, Dingemans AMC, Speel EJM. Molecular knowledge and clinical relevance - stepping stones in improving classification of lung neuroendocrine neoplasms. J Thorac Oncol Off Publ Int Assoc Study Lung Cancer. 2022;17(2):e8-10.
13.
go back to reference Fernandez-Cuesta L, Foll M. Molecular studies of lung neuroendocrine neoplasms uncover new concepts and entities. Transl Lung Cancer Res. 2019;8(Suppl 4):S430–4.PubMedCrossRefPubMedCentral Fernandez-Cuesta L, Foll M. Molecular studies of lung neuroendocrine neoplasms uncover new concepts and entities. Transl Lung Cancer Res. 2019;8(Suppl 4):S430–4.PubMedCrossRefPubMedCentral
14.
go back to reference Yan C, Wan R, Shi Y. Molecular mechanisms of pre-mrna splicing through structural biology of the spliceosome. Cold Spring Harb Perspect Biol. 2019;11(1):a032409.PubMedCrossRefPubMedCentral Yan C, Wan R, Shi Y. Molecular mechanisms of pre-mrna splicing through structural biology of the spliceosome. Cold Spring Harb Perspect Biol. 2019;11(1):a032409.PubMedCrossRefPubMedCentral
15.
go back to reference Turunen JJ, Niemelä EH, Verma B, Frilander MJ. The significant other: splicing by the minor spliceosome. Wiley Interdiscip Rev RNA. 2013;4(1):61–76.PubMedCrossRef Turunen JJ, Niemelä EH, Verma B, Frilander MJ. The significant other: splicing by the minor spliceosome. Wiley Interdiscip Rev RNA. 2013;4(1):61–76.PubMedCrossRef
16.
go back to reference Bonnal SC, López-Oreja I, Valcárcel J. Roles and mechanisms of alternative splicing in cancer - implications for care. Nat Rev Clin Oncol. 2020;17(8):457–74.PubMedCrossRef Bonnal SC, López-Oreja I, Valcárcel J. Roles and mechanisms of alternative splicing in cancer - implications for care. Nat Rev Clin Oncol. 2020;17(8):457–74.PubMedCrossRef
18.
go back to reference Xu X, Honda K, Miura N, Hori S, Le Blanc S, Bergmann F, et al. Actinin-4 splice variant - a complementary diagnostic and prognostic marker of pancreatic neuroendocrine neoplasms. J Cancer. 2020;11(8):2318–28.PubMedCrossRefPubMedCentral Xu X, Honda K, Miura N, Hori S, Le Blanc S, Bergmann F, et al. Actinin-4 splice variant - a complementary diagnostic and prognostic marker of pancreatic neuroendocrine neoplasms. J Cancer. 2020;11(8):2318–28.PubMedCrossRefPubMedCentral
19.
go back to reference Alam SK, Wang L, Ren Y, Hernandez CE, Kosari F, Roden AC, et al. ASCL1-regulated DARPP-32 and t-DARPP stimulate small cell lung cancer growth and neuroendocrine tumour cell proliferation. Br J Cancer. 2020;123(5):819–32.PubMedCrossRefPubMedCentral Alam SK, Wang L, Ren Y, Hernandez CE, Kosari F, Roden AC, et al. ASCL1-regulated DARPP-32 and t-DARPP stimulate small cell lung cancer growth and neuroendocrine tumour cell proliferation. Br J Cancer. 2020;123(5):819–32.PubMedCrossRefPubMedCentral
20.
go back to reference Pedraza-Arevalo S, Alors-Pérez E, Blázquez-Encinas R, Herrera-Martínez AD, Jiménez-Vacas JM, Fuentes-Fayos AC, et al. Spliceosomic dysregulation unveils NOVA1 as a candidate actionable therapeutic target in pancreatic neuroendocrine tumors. Transl Res J Lab Clin Med. 2022;S1931–5244(22):00170. Pedraza-Arevalo S, Alors-Pérez E, Blázquez-Encinas R, Herrera-Martínez AD, Jiménez-Vacas JM, Fuentes-Fayos AC, et al. Spliceosomic dysregulation unveils NOVA1 as a candidate actionable therapeutic target in pancreatic neuroendocrine tumors. Transl Res J Lab Clin Med. 2022;S1931–5244(22):00170.
21.
go back to reference Blázquez-Encinas R, Moreno-Montilla MT, García-Vioque V, Gracia-Navarro F, Alors-Pérez E, Pedraza-Arevalo S, et al. The uprise of RNA biology in neuroendocrine neoplasms: altered splicing and RNA species unveil translational opportunities. Rev Endocr Metab Disord. 2022;24:1–16. Blázquez-Encinas R, Moreno-Montilla MT, García-Vioque V, Gracia-Navarro F, Alors-Pérez E, Pedraza-Arevalo S, et al. The uprise of RNA biology in neuroendocrine neoplasms: altered splicing and RNA species unveil translational opportunities. Rev Endocr Metab Disord. 2022;24:1–16.
22.
go back to reference Alors-Perez E, Blázquez-Encinas R, Alcalá S, Viyuela-García C, Pedraza-Arevalo S, Herrero-Aguayo V, et al. Dysregulated splicing factor SF3B1 unveils a dual therapeutic vulnerability to target pancreatic cancer cells and cancer stem cells with an anti-splicing drug. J Exp Clin Cancer Res CR. 2021;40(1):382.PubMedCrossRef Alors-Perez E, Blázquez-Encinas R, Alcalá S, Viyuela-García C, Pedraza-Arevalo S, Herrero-Aguayo V, et al. Dysregulated splicing factor SF3B1 unveils a dual therapeutic vulnerability to target pancreatic cancer cells and cancer stem cells with an anti-splicing drug. J Exp Clin Cancer Res CR. 2021;40(1):382.PubMedCrossRef
23.
go back to reference Jiménez-Vacas JM, Herrero-Aguayo V, Montero-Hidalgo AJ, Gómez-Gómez E, Fuentes-Fayos AC, León-González AJ, et al. Dysregulation of the splicing machinery is directly associated to aggressiveness of prostate cancer. EBioMedicine. 2020;51:102547.PubMedCrossRefPubMedCentral Jiménez-Vacas JM, Herrero-Aguayo V, Montero-Hidalgo AJ, Gómez-Gómez E, Fuentes-Fayos AC, León-González AJ, et al. Dysregulation of the splicing machinery is directly associated to aggressiveness of prostate cancer. EBioMedicine. 2020;51:102547.PubMedCrossRefPubMedCentral
24.
go back to reference Vázquez-Borrego MC, Fuentes-Fayos AC, Venegas-Moreno E, Rivero-Cortés E, Dios E, Moreno-Moreno P, et al. Splicing machinery is dysregulated in pituitary neuroendocrine tumors and is associated with aggressiveness features. Cancers. 2019;11(10):E1439.CrossRef Vázquez-Borrego MC, Fuentes-Fayos AC, Venegas-Moreno E, Rivero-Cortés E, Dios E, Moreno-Moreno P, et al. Splicing machinery is dysregulated in pituitary neuroendocrine tumors and is associated with aggressiveness features. Cancers. 2019;11(10):E1439.CrossRef
25.
go back to reference Fuentes-Fayos AC, Vázquez-Borrego MC, Jiménez-Vacas JM, Bejarano L, Pedraza-Arévalo S, L-López F, et al. Splicing machinery dysregulation drives glioblastoma development/ aggressiveness: oncogenic role of SRSF3. Brain J Neurol. 2020;143(11):3273–93.CrossRef Fuentes-Fayos AC, Vázquez-Borrego MC, Jiménez-Vacas JM, Bejarano L, Pedraza-Arévalo S, L-López F, et al. Splicing machinery dysregulation drives glioblastoma development/ aggressiveness: oncogenic role of SRSF3. Brain J Neurol. 2020;143(11):3273–93.CrossRef
26.
go back to reference Uphoff CC, Drexler HG. Detection of mycoplasma contaminations. Methods Mol Biol Clifton NJ. 2013;946:1–13.CrossRef Uphoff CC, Drexler HG. Detection of mycoplasma contaminations. Methods Mol Biol Clifton NJ. 2013;946:1–13.CrossRef
27.
go back to reference Del Río-Moreno M, Alors-Pérez E, González-Rubio S, Ferrín G, Reyes O, Rodríguez-Perálvarez M, et al. Dysregulation of the splicing machinery is associated to the development of nonalcoholic fatty liver disease. J Clin Endocrinol Metab. 2019;104(8):3389–402.PubMedCrossRefPubMedCentral Del Río-Moreno M, Alors-Pérez E, González-Rubio S, Ferrín G, Reyes O, Rodríguez-Perálvarez M, et al. Dysregulation of the splicing machinery is associated to the development of nonalcoholic fatty liver disease. J Clin Endocrinol Metab. 2019;104(8):3389–402.PubMedCrossRefPubMedCentral
28.
go back to reference Ibáñez-Costa A, Perez-Sanchez C, Patiño-Trives AM, Luque-Tevar M, Font P, Arias de la Rosa I, et al. Splicing machinery is impaired in rheumatoid arthritis, associated with disease activity and modulated by anti-TNF therapy. Ann Rheum Dis. 2022;81(1):56–67.PubMedCrossRef Ibáñez-Costa A, Perez-Sanchez C, Patiño-Trives AM, Luque-Tevar M, Font P, Arias de la Rosa I, et al. Splicing machinery is impaired in rheumatoid arthritis, associated with disease activity and modulated by anti-TNF therapy. Ann Rheum Dis. 2022;81(1):56–67.PubMedCrossRef
29.
go back to reference Del Río-Moreno M, Luque RM, Rangel-Zúñiga OA, Alors-Pérez E, Alcalá-Diaz JF, Roncero-Ramos I, et al. Dietary intervention modulates the expression of splicing machinery in cardiovascular patients at high risk of type 2 diabetes development: from the CORDIOPREV study. Nutrients. 2020;12(11):3528.PubMedCrossRefPubMedCentral Del Río-Moreno M, Luque RM, Rangel-Zúñiga OA, Alors-Pérez E, Alcalá-Diaz JF, Roncero-Ramos I, et al. Dietary intervention modulates the expression of splicing machinery in cardiovascular patients at high risk of type 2 diabetes development: from the CORDIOPREV study. Nutrients. 2020;12(11):3528.PubMedCrossRefPubMedCentral
30.
go back to reference Jiménez-Vacas JM, Herrero-Aguayo V, Gómez-Gómez E, León-González AJ, Sáez-Martínez P, Alors-Pérez E, et al. Spliceosome component SF3B1 as novel prognostic biomarker and therapeutic target for prostate cancer. Transl Res J Lab Clin Med. 2019;212:89–103. Jiménez-Vacas JM, Herrero-Aguayo V, Gómez-Gómez E, León-González AJ, Sáez-Martínez P, Alors-Pérez E, et al. Spliceosome component SF3B1 as novel prognostic biomarker and therapeutic target for prostate cancer. Transl Res J Lab Clin Med. 2019;212:89–103.
31.
go back to reference Vandesompele J, De Preter K, Pattyn F, Poppe B, Van Roy N, De Paepe A, et al. Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biol. 2002;3(7):RESEARCH0034.PubMedCrossRefPubMedCentral Vandesompele J, De Preter K, Pattyn F, Poppe B, Van Roy N, De Paepe A, et al. Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biol. 2002;3(7):RESEARCH0034.PubMedCrossRefPubMedCentral
32.
go back to reference Schindelin J, Arganda-Carreras I, Frise E, Kaynig V, Longair M, Pietzsch T, et al. Fiji: an open-source platform for biological-image analysis. Nat Methods. 2012;9(7):676–82.PubMedCrossRef Schindelin J, Arganda-Carreras I, Frise E, Kaynig V, Longair M, Pietzsch T, et al. Fiji: an open-source platform for biological-image analysis. Nat Methods. 2012;9(7):676–82.PubMedCrossRef
33.
go back to reference Patro R, Duggal G, Love MI, Irizarry RA, Kingsford C. Salmon provides fast and bias-aware quantification of transcript expression. Nat Methods. 2017;14(4):417–9.PubMedCrossRefPubMedCentral Patro R, Duggal G, Love MI, Irizarry RA, Kingsford C. Salmon provides fast and bias-aware quantification of transcript expression. Nat Methods. 2017;14(4):417–9.PubMedCrossRefPubMedCentral
34.
go back to reference Love MI, Soneson C, Hickey PF, Johnson LK, Pierce NT, Shepherd L, et al. Tximeta: Reference sequence checksums for provenance identification in RNA-seq. PLoS Comput Biol. 2020;16(2): e1007664.PubMedCrossRefPubMedCentral Love MI, Soneson C, Hickey PF, Johnson LK, Pierce NT, Shepherd L, et al. Tximeta: Reference sequence checksums for provenance identification in RNA-seq. PLoS Comput Biol. 2020;16(2): e1007664.PubMedCrossRefPubMedCentral
36.
go back to reference Subramanian A, Tamayo P, Mootha VK, Mukherjee S, Ebert BL, Gillette MA, et al. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci U S A. 2005;102(43):15545–50.PubMedCrossRefPubMedCentral Subramanian A, Tamayo P, Mootha VK, Mukherjee S, Ebert BL, Gillette MA, et al. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci U S A. 2005;102(43):15545–50.PubMedCrossRefPubMedCentral
37.
go back to reference Trincado JL, Entizne JC, Hysenaj G, Singh B, Skalic M, Elliott DJ, et al. SUPPA2: fast, accurate, and uncertainty-aware differential splicing analysis across multiple conditions. Genome Biol. 2018;19(1):40.PubMedCrossRefPubMedCentral Trincado JL, Entizne JC, Hysenaj G, Singh B, Skalic M, Elliott DJ, et al. SUPPA2: fast, accurate, and uncertainty-aware differential splicing analysis across multiple conditions. Genome Biol. 2018;19(1):40.PubMedCrossRefPubMedCentral
39.
go back to reference Asiedu MK, Thomas CF, Dong J, Schulte SC, Khadka P, Sun Z, et al. Pathways impacted by genomic alterations in pulmonary carcinoid tumors. Clin Cancer Res Off J Am Assoc Cancer Res. 2018;24(7):1691–704.CrossRef Asiedu MK, Thomas CF, Dong J, Schulte SC, Khadka P, Sun Z, et al. Pathways impacted by genomic alterations in pulmonary carcinoid tumors. Clin Cancer Res Off J Am Assoc Cancer Res. 2018;24(7):1691–704.CrossRef
40.
go back to reference Noguchi M, Furukawa KT, Morimoto M. Pulmonary neuroendocrine cells: physiology, tissue homeostasis and disease. Dis Model Mech. 2020;13(12):46920.CrossRef Noguchi M, Furukawa KT, Morimoto M. Pulmonary neuroendocrine cells: physiology, tissue homeostasis and disease. Dis Model Mech. 2020;13(12):46920.CrossRef
41.
go back to reference Reyes O, Pérez E, Luque RM, Castaño J, Ventura S. A supervised machine learning-based methodology for analyzing dysregulation in splicing machinery: an application in cancer diagnosis. Artif Intell Med. 2020;108:101950.PubMedCrossRef Reyes O, Pérez E, Luque RM, Castaño J, Ventura S. A supervised machine learning-based methodology for analyzing dysregulation in splicing machinery: an application in cancer diagnosis. Artif Intell Med. 2020;108:101950.PubMedCrossRef
42.
go back to reference Dasari A, Shen C, Halperin D, Zhao B, Zhou S, Xu Y, et al. Trends in the incidence, prevalence, and survival outcomes in patients with neuroendocrine tumors in the United States. JAMA Oncol. 2017;3(10):1335–42.PubMedCrossRefPubMedCentral Dasari A, Shen C, Halperin D, Zhao B, Zhou S, Xu Y, et al. Trends in the incidence, prevalence, and survival outcomes in patients with neuroendocrine tumors in the United States. JAMA Oncol. 2017;3(10):1335–42.PubMedCrossRefPubMedCentral
44.
45.
go back to reference Pedraza-Arevalo S, Alors-Pérez E, Blázquez-Encinas R, Herrera-Martínez AD, Jiménez-Vacas JM, Fuentes-Fayos AC, et al. Spliceosomic dysregulation unveils NOVA1 as a candidate actionable therapeutic target in pancreatic neuroendocrine tumors. Transl Res J Lab Clin Med. 2023;251:63–73. Pedraza-Arevalo S, Alors-Pérez E, Blázquez-Encinas R, Herrera-Martínez AD, Jiménez-Vacas JM, Fuentes-Fayos AC, et al. Spliceosomic dysregulation unveils NOVA1 as a candidate actionable therapeutic target in pancreatic neuroendocrine tumors. Transl Res J Lab Clin Med. 2023;251:63–73.
46.
go back to reference Vázquez-Borrego MC, Fuentes-Fayos AC, Venegas-Moreno E, Rivero-Cortés E, Dios E, Moreno-Moreno P, et al. Splicing Machinery is dysregulated in pituitary neuroendocrine tumors and is associated with aggressiveness features. Cancers. 2019;11(10):1439.PubMedCrossRefPubMedCentral Vázquez-Borrego MC, Fuentes-Fayos AC, Venegas-Moreno E, Rivero-Cortés E, Dios E, Moreno-Moreno P, et al. Splicing Machinery is dysregulated in pituitary neuroendocrine tumors and is associated with aggressiveness features. Cancers. 2019;11(10):1439.PubMedCrossRefPubMedCentral
47.
go back to reference López-Cánovas JL, Hermán-Sánchez N, Moreno-Montilla MT, Del Rio-Moreno M, Alors-Perez E, Sánchez-Frias ME, et al. Spliceosomal profiling identifies EIF4A3 as a novel oncogene in hepatocellular carcinoma acting through the modulation of FGFR4 splicing. Clin Transl Med. 2022;12(11): e1102.PubMedCrossRefPubMedCentral López-Cánovas JL, Hermán-Sánchez N, Moreno-Montilla MT, Del Rio-Moreno M, Alors-Perez E, Sánchez-Frias ME, et al. Spliceosomal profiling identifies EIF4A3 as a novel oncogene in hepatocellular carcinoma acting through the modulation of FGFR4 splicing. Clin Transl Med. 2022;12(11): e1102.PubMedCrossRefPubMedCentral
48.
go back to reference Rogalska ME, Vivori C, Valcárcel J. Regulation of pre-mRNA splicing: roles in physiology and disease, and therapeutic prospects. Nat Rev Genet. 2023;24(4):251–69.PubMedCrossRef Rogalska ME, Vivori C, Valcárcel J. Regulation of pre-mRNA splicing: roles in physiology and disease, and therapeutic prospects. Nat Rev Genet. 2023;24(4):251–69.PubMedCrossRef
49.
go back to reference Yadav S, Pant D, Samaiya A, Kalra N, Gupta S, Shukla S. ERK1/2-EGR1-SRSF10 axis mediated alternative splicing plays a critical role in head and neck cancer. Front Cell Dev Biol. 2021;9:713661.PubMedCrossRefPubMedCentral Yadav S, Pant D, Samaiya A, Kalra N, Gupta S, Shukla S. ERK1/2-EGR1-SRSF10 axis mediated alternative splicing plays a critical role in head and neck cancer. Front Cell Dev Biol. 2021;9:713661.PubMedCrossRefPubMedCentral
50.
go back to reference Zhou X, Li X, Cheng Y, Wu W, Xie Z, Xi Q, et al. BCLAF1 and its splicing regulator SRSF10 regulate the tumorigenic potential of colon cancer cells. Nat Commun. 2014;5(5):4581.PubMedCrossRef Zhou X, Li X, Cheng Y, Wu W, Xie Z, Xi Q, et al. BCLAF1 and its splicing regulator SRSF10 regulate the tumorigenic potential of colon cancer cells. Nat Commun. 2014;5(5):4581.PubMedCrossRef
51.
go back to reference Sazonova O, Manem V, Orain M, Khoshkrood-Mansoori B, Gaudreault N, Desmeules P, et al. Transcriptomic data helps refining classification of pulmonary carcinoid tumors with increased mitotic counts. Mod Pathol. 2020;9:1712–21.CrossRef Sazonova O, Manem V, Orain M, Khoshkrood-Mansoori B, Gaudreault N, Desmeules P, et al. Transcriptomic data helps refining classification of pulmonary carcinoid tumors with increased mitotic counts. Mod Pathol. 2020;9:1712–21.CrossRef
52.
go back to reference Araujo-Castro M, Pascual-Corrales E, Molina-Cerrillo J, Moreno Mata N, Alonso-Gordoa T. Bronchial carcinoids: from molecular background to treatment approach. Cancers. 2022;14(3):520.PubMedCrossRefPubMedCentral Araujo-Castro M, Pascual-Corrales E, Molina-Cerrillo J, Moreno Mata N, Alonso-Gordoa T. Bronchial carcinoids: from molecular background to treatment approach. Cancers. 2022;14(3):520.PubMedCrossRefPubMedCentral
53.
go back to reference Miyanaga A, Masuda M, Motoi N, Tsuta K, Nakamura Y, Nishijima N, et al. Whole-exome and RNA sequencing of pulmonary carcinoid reveals chromosomal rearrangements associated with recurrence. Lung Cancer Amst Neth. 2020;145:85–94.CrossRef Miyanaga A, Masuda M, Motoi N, Tsuta K, Nakamura Y, Nishijima N, et al. Whole-exome and RNA sequencing of pulmonary carcinoid reveals chromosomal rearrangements associated with recurrence. Lung Cancer Amst Neth. 2020;145:85–94.CrossRef
54.
go back to reference Watkins DN, Berman DM, Burkholder SG, Wang B, Beachy PA, Baylin SB. Hedgehog signalling within airway epithelial progenitors and in small-cell lung cancer. Nature. 2003;422(6929):313–7.PubMedCrossRef Watkins DN, Berman DM, Burkholder SG, Wang B, Beachy PA, Baylin SB. Hedgehog signalling within airway epithelial progenitors and in small-cell lung cancer. Nature. 2003;422(6929):313–7.PubMedCrossRef
55.
go back to reference Durovski D, Jankovic M, Prekovic S. Insights into androgen receptor action in lung cancer. Endocrines. 2023;4(2):269–80.CrossRef Durovski D, Jankovic M, Prekovic S. Insights into androgen receptor action in lung cancer. Endocrines. 2023;4(2):269–80.CrossRef
56.
go back to reference Fiebiger W, Olszewski U, Ulsperger E, Geissler K, Hamilton G. In vitro cytotoxicity of novel platinum-based drugs and dichloroacetate against lung carcinoid cell lines. Clin Transl Oncol. 2011;13(1):43–9.PubMedCrossRef Fiebiger W, Olszewski U, Ulsperger E, Geissler K, Hamilton G. In vitro cytotoxicity of novel platinum-based drugs and dichloroacetate against lung carcinoid cell lines. Clin Transl Oncol. 2011;13(1):43–9.PubMedCrossRef
57.
go back to reference Ludlow AT, Wong MS, Robin JD, Batten K, Yuan L, Lai TP, et al. NOVA1 regulates hTERT splicing and cell growth in non-small cell lung cancer. Nat Commun. 2018;9(1):3112.PubMedCrossRefPubMedCentral Ludlow AT, Wong MS, Robin JD, Batten K, Yuan L, Lai TP, et al. NOVA1 regulates hTERT splicing and cell growth in non-small cell lung cancer. Nat Commun. 2018;9(1):3112.PubMedCrossRefPubMedCentral
58.
go back to reference Ye CY, Zheng CP, Zhou WJ, Weng SS. MiR-582-5p inhibits the growth and invasion of osteosarcoma cell by targeting NOVA1. Eur Rev Med Pharmacol Sci. 2020;24(21):11026–31.PubMed Ye CY, Zheng CP, Zhou WJ, Weng SS. MiR-582-5p inhibits the growth and invasion of osteosarcoma cell by targeting NOVA1. Eur Rev Med Pharmacol Sci. 2020;24(21):11026–31.PubMed
59.
go back to reference Zhi F, Wang Q, Deng D, Shao N, Wang R, Xue L, et al. MiR-181b-5p downregulates NOVA1 to suppress proliferation, migration and invasion and promote apoptosis in astrocytoma. PLoS ONE. 2014;9(10): e109124.PubMedCrossRefPubMedCentral Zhi F, Wang Q, Deng D, Shao N, Wang R, Xue L, et al. MiR-181b-5p downregulates NOVA1 to suppress proliferation, migration and invasion and promote apoptosis in astrocytoma. PLoS ONE. 2014;9(10): e109124.PubMedCrossRefPubMedCentral
60.
go back to reference Chang C, Rajasekaran M, Qiao Y, Dong H, Wang Y, Xia H, et al. The aberrant upregulation of exon 10-inclusive SREK1 through SRSF10 acts as an oncogenic driver in human hepatocellular carcinoma. Nat Commun. 2022;13(1):1363.PubMedCrossRefPubMedCentral Chang C, Rajasekaran M, Qiao Y, Dong H, Wang Y, Xia H, et al. The aberrant upregulation of exon 10-inclusive SREK1 through SRSF10 acts as an oncogenic driver in human hepatocellular carcinoma. Nat Commun. 2022;13(1):1363.PubMedCrossRefPubMedCentral
61.
go back to reference Wang D, Nguyen MM, Masoodi KZ, Singh P, Jing Y, O’Malley K, et al. Splicing factor Prp8 interacts with neS(AR) and regulates androgen receptor in prostate cancer cells. Mol Endocrinol Baltim Md. 2015;29(12):1731–42.CrossRef Wang D, Nguyen MM, Masoodi KZ, Singh P, Jing Y, O’Malley K, et al. Splicing factor Prp8 interacts with neS(AR) and regulates androgen receptor in prostate cancer cells. Mol Endocrinol Baltim Md. 2015;29(12):1731–42.CrossRef
62.
go back to reference Wang S, Wang M, Wang B, Chen J, Cheng X, Sun X. Pre-mRNA processing factor 8 accelerates the progression of hepatocellular carcinoma by regulating the PI3K/Akt pathway. OncoTargets Ther. 2020;13:4717–30.CrossRef Wang S, Wang M, Wang B, Chen J, Cheng X, Sun X. Pre-mRNA processing factor 8 accelerates the progression of hepatocellular carcinoma by regulating the PI3K/Akt pathway. OncoTargets Ther. 2020;13:4717–30.CrossRef
63.
go back to reference López-Cánovas JL, Hermán-Sánchez N, del Rio-Moreno M, Fuentes-Fayos AC, Lara-López A, Sánchez-Frias ME, et al. PRPF8 increases the aggressiveness of hepatocellular carcinoma by regulating FAK/AKT pathway via fibronectin 1 splicing. Exp Mol Med. 2023;55(1):132–42.PubMedCrossRefPubMedCentral López-Cánovas JL, Hermán-Sánchez N, del Rio-Moreno M, Fuentes-Fayos AC, Lara-López A, Sánchez-Frias ME, et al. PRPF8 increases the aggressiveness of hepatocellular carcinoma by regulating FAK/AKT pathway via fibronectin 1 splicing. Exp Mol Med. 2023;55(1):132–42.PubMedCrossRefPubMedCentral
64.
go back to reference Cao D, Xue J, Huang G, An J, An W. The role of splicing factor PRPF8 in breast cancer. Technol Health Care Off J Eur Soc Eng Med. 2022;30(S1):293–301. Cao D, Xue J, Huang G, An J, An W. The role of splicing factor PRPF8 in breast cancer. Technol Health Care Off J Eur Soc Eng Med. 2022;30(S1):293–301.
Metadata
Title
Altered splicing machinery in lung carcinoids unveils NOVA1, PRPF8 and SRSF10 as novel candidates to understand tumor biology and expand biomarker discovery
Authors
Ricardo Blázquez-Encinas
Víctor García-Vioque
Teresa Caro-Cuenca
María Trinidad Moreno-Montilla
Federica Mangili
Emilia Alors-Pérez
Sebastian Ventura
Aura D. Herrera-Martínez
Paula Moreno-Casado
Marco A. Calzado
Ángel Salvatierra
María A. Gálvez-Moreno
Lynnette Fernandez-Cuesta
Matthieu Foll
Raúl M. Luque
Nicolas Alcala
Sergio Pedraza-Arevalo
Alejandro Ibáñez-Costa
Justo P. Castaño
Publication date
01-12-2023
Publisher
BioMed Central
Published in
Journal of Translational Medicine / Issue 1/2023
Electronic ISSN: 1479-5876
DOI
https://doi.org/10.1186/s12967-023-04754-8

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