Identification of functional pathways and molecular signatures in neuroendocrine neoplasms by multi-omics analysis

被引:17
|
作者
Melone, Viola [1 ]
Salvati, Annamaria [1 ,2 ,3 ]
Palumbo, Domenico [1 ]
Giurato, Giorgio [1 ,2 ,3 ,4 ]
Nassa, Giovanni [1 ,2 ,3 ,4 ]
Rizzo, Francesca [1 ,2 ,3 ,4 ]
Palo, Luigi [1 ]
Giordano, Alessandro [1 ]
Incoronato, Mariarosaria [5 ]
Vitale, Mario [6 ]
Mian, Caterina [7 ]
Di Biase, Immacolata [8 ]
Cristiano, Stefano [8 ]
Narciso, Viviana [8 ]
Cantile, Monica [9 ]
Di Mauro, Annabella [9 ]
Tatangelo, Fabiana [9 ]
Tafuto, Salvatore [10 ]
Modica, Roberta [11 ]
Pivonello, Claudia [11 ]
Salvatore, Marco
Colao, Annamaria [1 ,11 ,12 ]
Weisz, Alessandro [1 ,2 ,3 ,4 ]
Tarallo, Roberta [1 ,2 ,3 ,4 ]
机构
[1] Univ Salerno, Dept Med Surg & Dent Scuola Med Salernitana, Lab Mol Med & Genom, Via S Allende, I-84081 Baronissi, SA, Italy
[2] Univ Salerno, Med Genom Program, I-84131 Salerno, Italy
[3] Univ Salerno, AOU S Giovanni Dio & Ruggi Aragona, Rete Oncol Campana, Div Oncol, I-84131 Salerno, Italy
[4] Genome Res Ctr Hlth, I-84081 Baronissi, SA, Italy
[5] IRCCS Synlab SDN Spa, Via Gianturco 113, I-80143 Naples, Italy
[6] Univ Salerno, Dept Med Surg & Dent Scuola Med Salernitana, I-84081 Baronissi, SA, Italy
[7] Univ Padua, Dept Med DIMED, Endocrinol Unit, Padua, Italy
[8] MeriGen Diagnost Sas, Traversa M Pietravalle 11, I-80131 Naples, Italy
[9] Ist Nazl Tumori, IRCCS Fdn G Pascale, Pathol Unit, Via Mariano Semmola, I-80131 Naples, Italy
[10] Ist Nazl Tumori, IRCCS Fdn G Pascale, Sarcomas & Rare Tumors Unit, Via Mariano Semmola, I-80131 Naples, Italy
[11] Univ Naples Federico II, Dept Clin Med & Surg, Endocrinol Unit, Naples, Italy
[12] Univ Naples Federico II, UNESCO Chair Hlth Educ & Sustainable Dev, Naples, Italy
关键词
Neuroendocrine neoplasms; Molecular signatures; ATM signaling; Circulating biomarkers; MEDULLARY-THYROID CANCER; PATHOLOGICAL CLASSIFICATION; CHROMOGRANIN-A; DNA-DAMAGE; TUMORS; MARKER; MANAGEMENT; EVEROLIMUS; LANDSCAPE; DIAGNOSIS;
D O I
10.1186/s12967-022-03511-7
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Background Neuroendocrine neoplasms (NENs) represent a heterogeneous class of rare tumors with increasing incidence. They are characterized by the ability to secrete peptide hormones and biogenic amines but other reliable biomarkers are lacking, making diagnosis and identification of the primary site very challenging. While in some NENs, such as the pancreatic ones, next generation sequencing technologies allowed the identification of new molecular hallmarks, our knowledge of the molecular profile of NENs from other anatomical sites is still poor. Methods Starting from the concept that NENs from different organs may be clinically and genetically correlated, we applied a multi-omics approach by combining multigene panel testing, CGH-array, transcriptome and miRNome profiling and computational analyses, with the aim to highlight common molecular and functional signatures of gastroenteropancreatic (GEP)-NENs and medullary thyroid carcinomas (MTCs) that could aid diagnosis, prognosis and therapy. Results By comparing genomic and transcriptional profiles, ATM-dependent signaling emerged among the most significant pathways at multiple levels, involving gene variations and miRNA-mediated regulation, thus representing a novel putative druggable pathway in these cancer types. Moreover, a set of circulating miRNAs was also selected as possible diagnostic/prognostic biomarkers useful for clinical management of NENs. Conclusions These findings depict a complex molecular and functional landscape of NENs, shedding light on novel therapeutic targets and disease biomarkers to be exploited.
引用
收藏
页数:17
相关论文
共 50 条
  • [41] Omics and Multi-Omics Analysis for the Early Identification and Improved Outcome of Patients with Psoriatic Arthritis
    Gurke, Robert
    Bendes, Annika
    Bowes, John
    Koehm, Michaela
    Twyman, Richard M.
    Barton, Anne
    Elewaut, Dirk
    Goodyear, Carl
    Hahnefeld, Lisa
    Hillenbrand, Rainer
    Hunter, Ewan
    Ibberson, Mark
    Ioannidis, Vassilios
    Kugler, Sabine
    Lories, Rik J.
    Resch, Eduard
    Rueping, Stefan
    Scholich, Klaus
    Schwenk, Jochen M.
    Waddington, James C.
    Whitfield, Phil
    Geisslinger, Gerd
    FitzGerald, Oliver
    Behrens, Frank
    Pennington, Stephen R.
    BIOMEDICINES, 2022, 10 (10)
  • [42] Identification of Druggable Targets through Functional Multi-Omics in Renal Medullary Carcinoma
    Hong, Andrew L.
    Tseng, Yuen-Yi
    Kynnap, Bryan D.
    Doshi, Mihir B.
    Sandoval, Gabriel
    Oh, Coyin
    Sayeed, Abeer
    Shubhroz, Gill
    Church, Alanna J.
    Keskula, Paula
    Peng, Anson
    Clemons, Paul A.
    Tsherniak, Aviad
    Vazquez, Francisca
    Rodriguez-Galindo, Carlos
    Janeway, Katherine A.
    Garraway, Levi A.
    Schreiber, Stuart L.
    Root, David E.
    Mullen, Elizabeth
    Stegmaier, Kimberly
    Kadoch, Cigall
    Roberts, Charles W. M.
    Boehm, Jesse S.
    Hahn, William C.
    MOLECULAR CANCER THERAPEUTICS, 2017, 16 (10)
  • [43] Identification of potential COPD genes based on multi-omics data at the functional level
    Liu, Zhe
    Li, Wan
    Lv, Junjie
    Xie, Ruiqiang
    Huang, Hao
    Li, Yiran
    He, Yuehan
    Jiang, Jing
    Chen, Binbin
    Guo, Shanshan
    Chen, Lina
    MOLECULAR BIOSYSTEMS, 2016, 12 (01) : 191 - 204
  • [44] Multi-omics signatures reveal genomic and functional heterogeneity of Cutibacterium acnes in normal and diseased skin
    Yu, Tianze
    Xu, Xiaoqiang
    Liu, Yang
    Wang, Xiaokai
    Wu, Shi
    Qiu, Zhuoqiong
    Liu, Xiaochun
    Pan, Xiaoyu
    Gu, Chaoying
    Wang, Shangshang
    Dong, Lixin
    Li, Wei
    Yao, Xu
    CELL HOST & MICROBE, 2024, 32 (07) : 1129 - 1146.e8
  • [45] Identification of Psoriatic Arthritis-related Pathways Using Multi-omics Data Integration
    Ghosh, Sreemoyee
    Pastrello, Chiara
    Cruz-Correa, Omar F.
    Ganatra, Darshini
    Oikonomopoulou, Katerina
    Anderson, Melanie
    Jurisica, Igor
    Chandran, Vinod
    ARTHRITIS & RHEUMATOLOGY, 2024, 76 : 3490 - 3492
  • [46] Multi-omics approaches to therapeutic target identification
    Hassan, Md Imtaiyaz
    BRIEFINGS IN FUNCTIONAL GENOMICS, 2023, 22 (02) : 75 - 75
  • [47] Integrative analysis unveils ECM signatures and pathways driving hepatocellular carcinoma progression: A multi-omics approach and prognostic model development
    Liu, Zhen
    Zhao, Pengfei
    JOURNAL OF CELLULAR AND MOLECULAR MEDICINE, 2024, 28 (08)
  • [48] Identification of Secondary Metabolites by Multi-Omics Methods
    Fang, Xin
    METABOLITES, 2024, 14 (11)
  • [49] visMOP - A Visual Analytics Approach for Multi-omics Pathways
    Brich, N.
    Schacherer, N.
    Hoene, M.
    Weigert, C.
    Lehmann, R.
    Krone, M.
    COMPUTER GRAPHICS FORUM, 2023, 42 (03) : 259 - 270
  • [50] Multi-omics analysis reveals the functional transcription and potential translation of enhancers
    Wu, Yingcheng
    Yang, Yang
    Gu, Hongyan
    Tao, Baorui
    Zhang, Erhao
    Wei, Jinhuan
    Wang, Zhou
    Liu, Aifen
    Sun, Rong
    Chen, Miaomiao
    Fan, Yihui
    Mao, Renfang
    INTERNATIONAL JOURNAL OF CANCER, 2020, 147 (08) : 2210 - 2224