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27.04.2024 | Original Article

Identification of potential targetable genes in papillary, follicular, and anaplastic thyroid carcinoma using bioinformatics analysis

verfasst von: Shipra Agarwal, Shikha Gupta, Rishav Raj

Erschienen in: Endocrine

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Abstract

Purpose

To perform an extensive exploratory analysis to build a deeper insight into clinically relevant molecular biomarkers in Papillary, Follicular, and Anaplastic thyroid carcinomas (PTC, FTC, ATC).

Methods

Thirteen Thyroid Cancer (THCA) datasets incorporating PTC, FTC, and ATC were derived from the Gene Expression Omnibus. Genes differentially expressed (DEGs) between THCA and normal were identified and subjected to GO and KEGG analyses. Multiple topological properties were harnessed and protein-protein interaction (PPI) networks were constructed to identify the hub genes followed by survival analysis and validation.

Results

There were 70, 87, and 377 DEGs, and 23, 27, and 53 hub genes for PTC, FTC, and ATC samples, respectively. Survival analysis detected 39 overall and 49 relapse-free survival-relevant hub genes. Six hub genes, BCL2, FN1, ITPR1, LYVE1, NTRK2, TBC1D4, were found common to more than one THCA type. The most significant hub genes found in the study were: BCL2, CD44, DCN, FN1, IRS1, ITPR1, MFAP4, MKI67, NTRK2, PCLO, TGFA. The most enriched and significant GO terms were Melanocyte differentiation for PTC, Extracellular region for FTC, and Extracellular exosome for ATC. Prostate cancer for PTC was the most significantly enriched KEGG pathway. The results were validated using TCGA data.

Conclusions

The findings unravel potential biomarkers and therapeutic targets of thyroid carcinomas.
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Literatur
1.
Zurück zum Zitat C.C. Juhlin, O. Mete, Z.W. Baloch, The 2022 who classification of thyroid tumors: novel concepts in nomenclature and grading. Endocrine-Related Cancer 30, e220293 (2023). C.C. Juhlin, O. Mete, Z.W. Baloch, The 2022 who classification of thyroid tumors: novel concepts in nomenclature and grading. Endocrine-Related Cancer 30, e220293 (2023).
2.
Zurück zum Zitat S. Wang, J. Wu, C. Guo et al. Identification and validation of novel genes in anaplastic thyroid carcinoma via bioinformatics analysis. Cancer Manag. Res. 9787–9799 (2020) S. Wang, J. Wu, C. Guo et al. Identification and validation of novel genes in anaplastic thyroid carcinoma via bioinformatics analysis. Cancer Manag. Res. 9787–9799 (2020)
3.
Zurück zum Zitat Y. Shen, S. Dong, J. Liu et al. Identification of potential biomarkers for thyroid cancer using bioinformatics strategy: a study based on geo datasets. BioMed. Res. Int. 2020 (2020) Y. Shen, S. Dong, J. Liu et al. Identification of potential biomarkers for thyroid cancer using bioinformatics strategy: a study based on geo datasets. BioMed. Res. Int. 2020 (2020)
4.
Zurück zum Zitat L. Liu, C. He, Q. Zhou et al. Identification of key genes and pathways of thyroid cancer by integrated bioinformatics analysis. J. Cellular Physiol. 234, 23647–23657 (2019)CrossRef L. Liu, C. He, Q. Zhou et al. Identification of key genes and pathways of thyroid cancer by integrated bioinformatics analysis. J. Cellular Physiol. 234, 23647–23657 (2019)CrossRef
5.
Zurück zum Zitat J. Tang, D. Kong, Q. Cui et al. Bioinformatic analysis and identification of potential prognostic micrornas and mrnas in thyroid cancer. PeerJ 6, e4674 (2018)PubMedCrossRefPubMedCentral J. Tang, D. Kong, Q. Cui et al. Bioinformatic analysis and identification of potential prognostic micrornas and mrnas in thyroid cancer. PeerJ 6, e4674 (2018)PubMedCrossRefPubMedCentral
6.
Zurück zum Zitat R. Edgar, M. Domrachev, A.E. Lash, Gene expression omnibus: Ncbi gene expression and hybridization array data repository. Nucleic Acids Res. 30, 207–210 (2002)PubMedCrossRefPubMedCentral R. Edgar, M. Domrachev, A.E. Lash, Gene expression omnibus: Ncbi gene expression and hybridization array data repository. Nucleic Acids Res. 30, 207–210 (2002)PubMedCrossRefPubMedCentral
8.
Zurück zum Zitat A. Franceschini, D. Szklarczyk, S. Frankild et al. String v9. 1: protein-protein interaction networks, with increased coverage and integration. Nucleic Acids Res. 41, D808–D815 (2012)PubMedCrossRefPubMedCentral A. Franceschini, D. Szklarczyk, S. Frankild et al. String v9. 1: protein-protein interaction networks, with increased coverage and integration. Nucleic Acids Res. 41, D808–D815 (2012)PubMedCrossRefPubMedCentral
9.
Zurück zum Zitat P. Shannon, A. Markiel, O. Ozier et al. Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res. 13, 2498–2504 (2003)PubMedCrossRefPubMedCentral P. Shannon, A. Markiel, O. Ozier et al. Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res. 13, 2498–2504 (2003)PubMedCrossRefPubMedCentral
10.
Zurück zum Zitat C.-H. Chin, S.H. Chen, H.H. Wu et al. cytohubba: identifying hub objects and sub-networks from complex interactome. BMC Syst. Biol. 8, 1–7 (2014)CrossRef C.-H. Chin, S.H. Chen, H.H. Wu et al. cytohubba: identifying hub objects and sub-networks from complex interactome. BMC Syst. Biol. 8, 1–7 (2014)CrossRef
11.
Zurück zum Zitat B.T. Sherman, M. Hao, J. Qiu et al. David: a web server for functional enrichment analysis and functional annotation of gene lists (2021 update). Nucleic Acids Res. 50, W216–W221 (2022)PubMedCrossRefPubMedCentral B.T. Sherman, M. Hao, J. Qiu et al. David: a web server for functional enrichment analysis and functional annotation of gene lists (2021 update). Nucleic Acids Res. 50, W216–W221 (2022)PubMedCrossRefPubMedCentral
14.
Zurück zum Zitat N. Agrawal, R. Akbani, B.A. Aksoy et al. Integrated genomic characterization of papillary thyroid carcinoma. Cell 159, 676–690 (2014)CrossRefPubMedCentral N. Agrawal, R. Akbani, B.A. Aksoy et al. Integrated genomic characterization of papillary thyroid carcinoma. Cell 159, 676–690 (2014)CrossRefPubMedCentral
15.
Zurück zum Zitat Á. Bartha, B. Győrffy, Tnmplot. com: a web tool for the comparison of gene expression in normal, tumor and metastatic tissues. Int. J. Mol. Sci. 22, 2622 (2021)PubMedCrossRefPubMedCentral Á. Bartha, B. Győrffy, Tnmplot. com: a web tool for the comparison of gene expression in normal, tumor and metastatic tissues. Int. J. Mol. Sci. 22, 2622 (2021)PubMedCrossRefPubMedCentral
16.
Zurück zum Zitat T. Knight, D. Luedtke, H. Edwards et al. A delicate balance–the bcl-2 family and its role in apoptosis, oncogenesis, and cancer therapeutics. Biochem. Pharmacol. 162, 250–261 (2019)PubMedCrossRef T. Knight, D. Luedtke, H. Edwards et al. A delicate balance–the bcl-2 family and its role in apoptosis, oncogenesis, and cancer therapeutics. Biochem. Pharmacol. 162, 250–261 (2019)PubMedCrossRef
17.
Zurück zum Zitat V.K. Anagnostou, F.J. Lowery, V. Zolota et al. High expression of bcl-2 predicts favorable outcome in non-small cell lung cancer patients with non squamous histology. BMC Cancer 10, 1–11 (2010)CrossRef V.K. Anagnostou, F.J. Lowery, V. Zolota et al. High expression of bcl-2 predicts favorable outcome in non-small cell lung cancer patients with non squamous histology. BMC Cancer 10, 1–11 (2010)CrossRef
18.
Zurück zum Zitat S. Wu, F. Wu, Z. Jiang, Identification of hub genes, key mirnas and potential molecular mechanisms of colorectal cancer. Oncol. Rep. 38, 2043–2050 (2017)PubMedCrossRefPubMedCentral S. Wu, F. Wu, Z. Jiang, Identification of hub genes, key mirnas and potential molecular mechanisms of colorectal cancer. Oncol. Rep. 38, 2043–2050 (2017)PubMedCrossRefPubMedCentral
19.
Zurück zum Zitat W. Liang, F. Sun, Identification of key genes of papillary thyroid cancer using integrated bioinformatics analysis. J. Endocrinol. Investig. 41, 1237–1245 (2018)CrossRef W. Liang, F. Sun, Identification of key genes of papillary thyroid cancer using integrated bioinformatics analysis. J. Endocrinol. Investig. 41, 1237–1245 (2018)CrossRef
20.
Zurück zum Zitat Y. Liu, S. Gao, Y. Jin et al. Bioinformatics analysis to screen key genes in papillary thyroid carcinoma. Oncol. Lett. 19, 195–204 (2020)PubMed Y. Liu, S. Gao, Y. Jin et al. Bioinformatics analysis to screen key genes in papillary thyroid carcinoma. Oncol. Lett. 19, 195–204 (2020)PubMed
21.
Zurück zum Zitat X. Li, J. He, M. Zhou et al. Identification and validation of core genes involved in the development of papillary thyroid carcinoma via bioinformatics analysis. Int. J. Genomics 2019 (2019). X. Li, J. He, M. Zhou et al. Identification and validation of core genes involved in the development of papillary thyroid carcinoma via bioinformatics analysis. Int. J. Genomics 2019 (2019).
22.
Zurück zum Zitat A. Almansoori, P. M. Bhamidimarri, R. Bendardaf et al. Identifying diagnostic and prognostic targets for papillary thyroid carcinoma through mining gene expression big datasets using adaptive filtering and advanced bioinformatics algorithms. In 2021 14th International Conference on Developments in eSystems Engineering (DeSE), 358–363 (IEEE, 2021). A. Almansoori, P. M. Bhamidimarri, R. Bendardaf et al. Identifying diagnostic and prognostic targets for papillary thyroid carcinoma through mining gene expression big datasets using adaptive filtering and advanced bioinformatics algorithms. In 2021 14th International Conference on Developments in eSystems Engineering (DeSE), 358–363 (IEEE, 2021).
23.
Zurück zum Zitat Y.-X. Wang, L. Zhao, X.-Y. Wang et al. Role of caspase 8, caspase 9 and bcl-2 polymorphisms in papillary thyroid carcinoma risk in Han Chinese population. Med. Oncol. 29, 2445–2451 (2012)PubMedCrossRef Y.-X. Wang, L. Zhao, X.-Y. Wang et al. Role of caspase 8, caspase 9 and bcl-2 polymorphisms in papillary thyroid carcinoma risk in Han Chinese population. Med. Oncol. 29, 2445–2451 (2012)PubMedCrossRef
24.
25.
Zurück zum Zitat K. Xie, A biomarker and molecular mechanism investigation for thyroid cancer. Central Eur. J. Immunol. 48, 203–218 (2023)CrossRef K. Xie, A biomarker and molecular mechanism investigation for thyroid cancer. Central Eur. J. Immunol. 48, 203–218 (2023)CrossRef
26.
Zurück zum Zitat H.-N. Li, H.M. Zhang, X.R. Li et al. Mir-205-5p/ggct attenuates growth and metastasis of papillary thyroid cancer by regulating cd44. Endocrinology 163, bqac022 (2022)PubMedCrossRefPubMedCentral H.-N. Li, H.M. Zhang, X.R. Li et al. Mir-205-5p/ggct attenuates growth and metastasis of papillary thyroid cancer by regulating cd44. Endocrinology 163, bqac022 (2022)PubMedCrossRefPubMedCentral
27.
Zurück zum Zitat T. Kawai, K. Iwata, Y. Shinotsuka et al. Cd44v8-10 and cd44s are age-dependently expressed in primary cultured papillary thyroid carcinoma cells and are associated with cell proliferation. Kobe J. Med. Sci. 65, E1 (2019)PubMedPubMedCentral T. Kawai, K. Iwata, Y. Shinotsuka et al. Cd44v8-10 and cd44s are age-dependently expressed in primary cultured papillary thyroid carcinoma cells and are associated with cell proliferation. Kobe J. Med. Sci. 65, E1 (2019)PubMedPubMedCentral
28.
Zurück zum Zitat T. Okada, T. Nakamura, T. Watanabe et al. Coexpression of epcam, cd44 variant isoforms and claudin-7 in anaplastic thyroid carcinoma. PLoS One 9, e94487 (2014)PubMedCrossRefPubMedCentral T. Okada, T. Nakamura, T. Watanabe et al. Coexpression of epcam, cd44 variant isoforms and claudin-7 in anaplastic thyroid carcinoma. PLoS One 9, e94487 (2014)PubMedCrossRefPubMedCentral
29.
Zurück zum Zitat Z. Wang, Q. Wang, Q. Wang et al. Prognostic significance of cd24 and cd44 in breast cancer: a meta-analysis. Int. J. Biol. Mark. 32, 75–82 (2017)CrossRef Z. Wang, Q. Wang, Q. Wang et al. Prognostic significance of cd24 and cd44 in breast cancer: a meta-analysis. Int. J. Biol. Mark. 32, 75–82 (2017)CrossRef
30.
Zurück zum Zitat S. Goldoni, R.V. Iozzo, Tumor microenvironment: modulation by decorin and related molecules harboring leucine-rich tandem motifs. Int. J. Cancer 123, 2473–2479 (2008)PubMedCrossRef S. Goldoni, R.V. Iozzo, Tumor microenvironment: modulation by decorin and related molecules harboring leucine-rich tandem motifs. Int. J. Cancer 123, 2473–2479 (2008)PubMedCrossRef
31.
Zurück zum Zitat L. Arnaldi, R. Borra, R. Maciel et al. Gene expression profiles reveal that dcn, dio1, and dio2 are underexpressed in benign and malignant thyroid tumors. Thyroid 15, 210–221 (2005)PubMedCrossRef L. Arnaldi, R. Borra, R. Maciel et al. Gene expression profiles reveal that dcn, dio1, and dio2 are underexpressed in benign and malignant thyroid tumors. Thyroid 15, 210–221 (2005)PubMedCrossRef
32.
Zurück zum Zitat Y. Wan, X. Zhang, H. Leng et al. Identifying hub genes of papillary thyroid carcinoma in the tcga and geo database using bioinformatics analysis. PeerJ 8, e9120 (2020)PubMedCrossRefPubMedCentral Y. Wan, X. Zhang, H. Leng et al. Identifying hub genes of papillary thyroid carcinoma in the tcga and geo database using bioinformatics analysis. PeerJ 8, e9120 (2020)PubMedCrossRefPubMedCentral
33.
Zurück zum Zitat R.I. Lieverse, D. Marcus, A.M. van der Wiel et al. Human fibronectin extra domain b as a biomarker for targeted therapy in cancer. Mol. Oncol. 14, 1555–1568 (2020)PubMedCrossRefPubMedCentral R.I. Lieverse, D. Marcus, A.M. van der Wiel et al. Human fibronectin extra domain b as a biomarker for targeted therapy in cancer. Mol. Oncol. 14, 1555–1568 (2020)PubMedCrossRefPubMedCentral
34.
Zurück zum Zitat T. Qu, Y.-P. Li, X.-H. Li et al. Identification of potential biomarkers and drugs for papillary thyroid cancer based on gene expression profile analysis. Mol. Med. Rep. 14, 5041–5048 (2016)PubMedCrossRefPubMedCentral T. Qu, Y.-P. Li, X.-H. Li et al. Identification of potential biomarkers and drugs for papillary thyroid cancer based on gene expression profile analysis. Mol. Med. Rep. 14, 5041–5048 (2016)PubMedCrossRefPubMedCentral
35.
Zurück zum Zitat Q.-S. Geng, T. Huang, L.F. Li et al. Over-expression and prognostic significance of fn1, correlating with immune infiltrates in thyroid cancer. Front. Med. 8, 812278 (2022)CrossRef Q.-S. Geng, T. Huang, L.F. Li et al. Over-expression and prognostic significance of fn1, correlating with immune infiltrates in thyroid cancer. Front. Med. 8, 812278 (2022)CrossRef
36.
Zurück zum Zitat J. Han, M. Chen, Y. Wang et al. Identification of biomarkers based on differentially expressed genes in papillary thyroid carcinoma. Sci. Rep. 8, 9912 (2018)PubMedCrossRefPubMedCentral J. Han, M. Chen, Y. Wang et al. Identification of biomarkers based on differentially expressed genes in papillary thyroid carcinoma. Sci. Rep. 8, 9912 (2018)PubMedCrossRefPubMedCentral
37.
Zurück zum Zitat G. Xue, X. Lin, J.F. Wu et al. Identification of key genes of papillary thyroid carcinoma by integrated bioinformatics analysis. Biosci. Rep. 40, BSR20201555 (2020)PubMedCrossRefPubMedCentral G. Xue, X. Lin, J.F. Wu et al. Identification of key genes of papillary thyroid carcinoma by integrated bioinformatics analysis. Biosci. Rep. 40, BSR20201555 (2020)PubMedCrossRefPubMedCentral
38.
Zurück zum Zitat R. Fan, L. Dong, P. Li et al. Integrated bioinformatics analysis and screening of hub genes in papillary thyroid carcinoma. Plos One 16, e0251962 (2021)PubMedCrossRefPubMedCentral R. Fan, L. Dong, P. Li et al. Integrated bioinformatics analysis and screening of hub genes in papillary thyroid carcinoma. Plos One 16, e0251962 (2021)PubMedCrossRefPubMedCentral
39.
Zurück zum Zitat Z. Li, C. Xiong, J. Wei et al. Identification of potential key genes in anaplastic thyroid cancer using bioinformatics analysis. Blood&Genomics 6, 53–61 (2022)CrossRef Z. Li, C. Xiong, J. Wei et al. Identification of potential key genes in anaplastic thyroid cancer using bioinformatics analysis. Blood&Genomics 6, 53–61 (2022)CrossRef
40.
Zurück zum Zitat J. Wang, L. Wu, W. Lu et al. Identification of key pathways and genes downstream of insulin-like growth factor 1 in thyroid carcinoma. Genetic Testing Mol. Biomarkers 26, 522–531 (2022)CrossRef J. Wang, L. Wu, W. Lu et al. Identification of key pathways and genes downstream of insulin-like growth factor 1 in thyroid carcinoma. Genetic Testing Mol. Biomarkers 26, 522–531 (2022)CrossRef
41.
Zurück zum Zitat F. Yu, D. Huang, Y. Kuang, et al. Irs1 promotes thyroid cancer metastasis through emt and pi3k/akt pathways. Clin. Endocrinol. 100, 284–293 (2024). CrossRef F. Yu, D. Huang, Y. Kuang, et al. Irs1 promotes thyroid cancer metastasis through emt and pi3k/akt pathways. Clin. Endocrinol. 100, 284–293 (2024). CrossRef
42.
Zurück zum Zitat Q. Xu, A. Song, Q. Xie, The integrated analyses of driver genes identify key biomarkers in thyroid cancer. Technol. Cancer Res. Treat. 19, 1533033820940440 (2020)PubMedCrossRefPubMedCentral Q. Xu, A. Song, Q. Xie, The integrated analyses of driver genes identify key biomarkers in thyroid cancer. Technol. Cancer Res. Treat. 19, 1533033820940440 (2020)PubMedCrossRefPubMedCentral
43.
Zurück zum Zitat G. Hu, H.-f Feng, H. Zhan, Identification of an autophagy-related signature predicting overall survival for papillary thyroid carcinoma. Dose-Response 18, 1559325819899265 (2020)PubMedCrossRefPubMedCentral G. Hu, H.-f Feng, H. Zhan, Identification of an autophagy-related signature predicting overall survival for papillary thyroid carcinoma. Dose-Response 18, 1559325819899265 (2020)PubMedCrossRefPubMedCentral
44.
Zurück zum Zitat D. Peng, W. Li, B. Zhang et al. Overexpression of lncrna slc26a4-as1 inhibits papillary thyroid carcinoma progression through recruiting ets1 to promote itpr1-mediated autophagy. J. Cell. Mol. Med. 25, 8148–8158 (2021)PubMedCrossRefPubMedCentral D. Peng, W. Li, B. Zhang et al. Overexpression of lncrna slc26a4-as1 inhibits papillary thyroid carcinoma progression through recruiting ets1 to promote itpr1-mediated autophagy. J. Cell. Mol. Med. 25, 8148–8158 (2021)PubMedCrossRefPubMedCentral
45.
Zurück zum Zitat Y. Hu, N. Zhou, R. Wang, Apatinib strengthens the anti-tumor effect of cisplatin in thyroid carcinoma through downregulating vegfr2. J BUON 26, 613–9 (2021)PubMed Y. Hu, N. Zhou, R. Wang, Apatinib strengthens the anti-tumor effect of cisplatin in thyroid carcinoma through downregulating vegfr2. J BUON 26, 613–9 (2021)PubMed
46.
Zurück zum Zitat M.-L. Tsai, C.H. Lee, L.C. Huang et al. Crispr-mediated knockout of vegfr2/kdr inhibits cell growth in a squamous thyroid cancer cell line. FEBS Open Bio. 12, 993–1005 (2022)PubMedCrossRefPubMedCentral M.-L. Tsai, C.H. Lee, L.C. Huang et al. Crispr-mediated knockout of vegfr2/kdr inhibits cell growth in a squamous thyroid cancer cell line. FEBS Open Bio. 12, 993–1005 (2022)PubMedCrossRefPubMedCentral
47.
Zurück zum Zitat M. Wu, H. Yuan, X. Li et al. Identification of a five-gene signature and establishment of a prognostic nomogram to predict progression-free interval of papillary thyroid carcinoma. Front. Endocrinol. 10, 790 (2019)CrossRef M. Wu, H. Yuan, X. Li et al. Identification of a five-gene signature and establishment of a prognostic nomogram to predict progression-free interval of papillary thyroid carcinoma. Front. Endocrinol. 10, 790 (2019)CrossRef
48.
Zurück zum Zitat L.K. Dalkilic, S. Dalkilic, Identification of key genes involved in papillary thyroid cancer by bioinformatics tools. Progr. Nutr. 33, e2020014 (2020). L.K. Dalkilic, S. Dalkilic, Identification of key genes involved in papillary thyroid cancer by bioinformatics tools. Progr. Nutr. 33, e2020014 (2020).
49.
Zurück zum Zitat H.S. Kim, D.H. Kim, J.Y. Kim et al. Microarray analysis of papillary thyroid cancers in korean. Kor. J. Internal Med. 25, 399 (2010)CrossRef H.S. Kim, D.H. Kim, J.Y. Kim et al. Microarray analysis of papillary thyroid cancers in korean. Kor. J. Internal Med. 25, 399 (2010)CrossRef
50.
Zurück zum Zitat J. Li, J. Wang, Z. Liu et al. Tumor-suppressive role of microfibrillar associated protein 4 and its clinical significance as prognostic factor and diagnostic biomarker in hepatocellular carcinoma. J. Cancer Res. Ther. 18, 1919–1925 (2022)PubMedCrossRef J. Li, J. Wang, Z. Liu et al. Tumor-suppressive role of microfibrillar associated protein 4 and its clinical significance as prognostic factor and diagnostic biomarker in hepatocellular carcinoma. J. Cancer Res. Ther. 18, 1919–1925 (2022)PubMedCrossRef
51.
Zurück zum Zitat R. Yerushalmi, R. Woods, P.M. Ravdin et al. Ki67 in breast cancer: prognostic and predictive potential. The Lancet Oncol. 11, 174–183 (2010)PubMedCrossRef R. Yerushalmi, R. Woods, P.M. Ravdin et al. Ki67 in breast cancer: prognostic and predictive potential. The Lancet Oncol. 11, 174–183 (2010)PubMedCrossRef
53.
Zurück zum Zitat Y. Han, K. Xia, T. Su, Exploration of the important role of microfibril-associated protein 4 gene in oral squamous cell carcinoma. Med. Sci. Monit.: Int. Med. J. Exp. Clin. Res. 27, e931238–1 (2021)CrossRef Y. Han, K. Xia, T. Su, Exploration of the important role of microfibril-associated protein 4 gene in oral squamous cell carcinoma. Med. Sci. Monit.: Int. Med. J. Exp. Clin. Res. 27, e931238–1 (2021)CrossRef
54.
55.
Zurück zum Zitat L. Shi, Y. Huang, X. Huang et al. Analyzing the key gene expression and prognostics values for acute myeloid leukemia. Transl. Cancer Res. 9, 7284 (2020)PubMedCrossRefPubMedCentral L. Shi, Y. Huang, X. Huang et al. Analyzing the key gene expression and prognostics values for acute myeloid leukemia. Transl. Cancer Res. 9, 7284 (2020)PubMedCrossRefPubMedCentral
56.
Zurück zum Zitat Y. Zhang, Z. Qiu, L. Wei et al. Integrated analysis of mutation data from various sources identifies key genes and signaling pathways in hepatocellular carcinoma. PloS One 9, e100854 (2014)PubMedCrossRefPubMedCentral Y. Zhang, Z. Qiu, L. Wei et al. Integrated analysis of mutation data from various sources identifies key genes and signaling pathways in hepatocellular carcinoma. PloS One 9, e100854 (2014)PubMedCrossRefPubMedCentral
57.
Zurück zum Zitat M. Bernhardt, H.-M. Behrens, S. Krüger et al. Exploration of the tumor biological significance of pclo in gastric cancer-results from a large central european cohort. Pathobiol. J. Immunopathol. Mol. Cellular Biol. 1–9 (2023) (Online ahead of print). M. Bernhardt, H.-M. Behrens, S. Krüger et al. Exploration of the tumor biological significance of pclo in gastric cancer-results from a large central european cohort. Pathobiol. J. Immunopathol. Mol. Cellular Biol. 1–9 (2023) (Online ahead of print).
58.
Zurück zum Zitat R. Sun, Y. Yang, W. Lü et al. Single-cell transcriptomic analysis of normal and pathological tissues from the same patient uncovers colon cancer progression. Cell Biosci. 13, 1–15 (2023)CrossRef R. Sun, Y. Yang, W. Lü et al. Single-cell transcriptomic analysis of normal and pathological tissues from the same patient uncovers colon cancer progression. Cell Biosci. 13, 1–15 (2023)CrossRef
59.
Zurück zum Zitat O.L. Griffith, A. Melck, S.J. Jones et al. Meta-analysis and meta-review of thyroid cancer gene expression profiling studies identifies important diagnostic biomarkers. J. Clin. Oncol. 24, 5043–5051 (2006)PubMedCrossRef O.L. Griffith, A. Melck, S.J. Jones et al. Meta-analysis and meta-review of thyroid cancer gene expression profiling studies identifies important diagnostic biomarkers. J. Clin. Oncol. 24, 5043–5051 (2006)PubMedCrossRef
60.
Zurück zum Zitat D. Degl’Innocenti, C. Alberti, G. Castellano et al. Integrated ligand-receptor bioinformatic and in vitro functional analysis identifies active tgfa/egfr signaling loop in papillary thyroid carcinomas. PLoS One 5, e12701 (2010)PubMedCrossRefPubMedCentral D. Degl’Innocenti, C. Alberti, G. Castellano et al. Integrated ligand-receptor bioinformatic and in vitro functional analysis identifies active tgfa/egfr signaling loop in papillary thyroid carcinomas. PLoS One 5, e12701 (2010)PubMedCrossRefPubMedCentral
61.
Zurück zum Zitat E. Molinaro, C. Romei, A. Biagini et al. Anaplastic thyroid carcinoma: from clinicopathology to genetics and advanced therapies. Nat. Rev. Endocrinol. 13, 644–660 (2017)PubMedCrossRef E. Molinaro, C. Romei, A. Biagini et al. Anaplastic thyroid carcinoma: from clinicopathology to genetics and advanced therapies. Nat. Rev. Endocrinol. 13, 644–660 (2017)PubMedCrossRef
Metadaten
Titel
Identification of potential targetable genes in papillary, follicular, and anaplastic thyroid carcinoma using bioinformatics analysis
verfasst von
Shipra Agarwal
Shikha Gupta
Rishav Raj
Publikationsdatum
27.04.2024
Verlag
Springer US
Erschienen in
Endocrine
Print ISSN: 1355-008X
Elektronische ISSN: 1559-0100
DOI
https://doi.org/10.1007/s12020-024-03836-x

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