The DOI matches its Crossref record; 187 of the 188 references it cites were found in a registry or an index.
Proteogenomic Characterization of Endometrial Carcinoma
Open accessAbstract
We undertook a comprehensive proteogenomic characterization of 95 prospectively collected endometrial carcinomas, comprising 83 endometrioid and 12 serous tumors. This analysis revealed possible new consequences of perturbations to the p53 and Wnt/β-catenin pathways, identified a potential role for circRNAs in the epithelial-mesenchymal transition, and provided new information about proteomic markers of clinical and genomic tumor subgroups, including relationships to known druggable pathways. An extensive genome-wide acetylation survey yielded insights into regulatory mechanisms linking Wnt signaling and histone acetylation. We also characterized aspects of the tumor immune landscape, including immunogenic alterations, neoantigens, common cancer/testis antigens, and the immune microenvironment, all of which can inform immunotherapy decisions. Collectively, our multi-omic analyses provide a valuable resource for researchers and clinicians, identify new molecular associations of potential mechanistic significance in the development of endometrial cancers, and suggest novel approaches for identifying potential therapeutic targets.
Overview
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
Verification
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?
In the citing paper
“Collectively, CPTAC and ICPC collaborators have comprehensively characterized 13 cancer types at the proteogenomics level, with all datasets publicly accessible109–117.”
From A high-stringency blueprint of the human proteome (2020) · cites this paper as [110]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Bray, F., Ferlay, J., Soerjomataram, I., Siegel, R. L., Torre, L. A., & Jemal, A. (2018) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21492 · Cited by 84,109
Trimmomatic: a flexible trimmer for Illumina sequence data
Bolger, A. M., Lohse, M., & Usadel, B. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu170 · Cited by 65,548
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
Fast gapped-read alignment with Bowtie 2
Langmead, B., & Salzberg, S. L. (2012) · Nature Methods · doi:10.1038/nmeth.1923 · Cited by 56,400
RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome
Li, B., & Dewey, C. N. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-323 · Cited by 22,179
Siegel, R. L., Miller, K. D., & Jemal, A. (2019) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21551 · Cited by 20,160
Siegel, R. L., Miller, K. D., & Jemal, A. (2018) · CA A Cancer Journal for Clinicians · doi:10.3322/caac.21442 · Cited by 16,632
GSVA: gene set variation analysis for microarray and RNA-Seq data
Hänzelmann, S., Castelo, R., & Guinney, J. (2013) · BMC Bioinformatics · doi:10.1186/1471-2105-14-7 · Cited by 15,440
Fast and accurate long-read alignment with Burrows-Wheeler transform.
Li, H., & Durbin, R. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp698 · Cited by 12,063
Lewis, B. P., Burge, C. B., & Bartel, D. P. (2005) · Cell · doi:10.1016/j.cell.2004.12.035 · Cited by 11,855
Flagged first, then by citations
1 of the 188 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
The emerging roles of circRNAs in cancer and oncology
Kristensen, L. S., Jakobsen, T., Hager, H., & Kjems, J. (2021) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-021-00585-y · Cited by 1,273
Proteogenomic Characterization Reveals Therapeutic Vulnerabilities in Lung Adenocarcinoma
Gillette, M. A., Satpathy, S., Cao, S., Dhanasekaran, S. M., Vasaikar, S. V., Krug, K., Petralia, F., Li, Y., Liang, W.-W., Reva, B., et al. (2020) · Cell · doi:10.1016/j.cell.2020.06.013 · Cited by 820
Self-citationMakker, V., MacKay, H. J., Ray-Coquard, I. L., Levine, D. A., Westin, S. N., Aoki, D., & Oaknin, A. (2021) · Nature Reviews Disease Primers · doi:10.1038/s41572-021-00324-8 · Cited by 734
Self-citationProteogenomic and metabolomic characterization of human glioblastoma
Wang, L.-B., Karpova, A., Gritsenko, M. A., Kyle, J. E., Cao, S., Li, Y., Rykunov, D., Colaprico, A., Rothstein, J. H., Hong, R., et al. (2021) · Cancer Cell · doi:10.1016/j.ccell.2021.01.006 · Cited by 661
Self-citationProteogenomic characterization of pancreatic ductal adenocarcinoma
Cao, L., Huang, C., Cui Zhou, D., Hu, Y., Lih, T. M., Savage, S. R., Krug, K., Clark, D. J., Schnaubelt, M., Chen, L., et al. (2021) · Cell · doi:10.1016/j.cell.2021.08.023 · Cited by 578
Self-citationProteogenomic Landscape of Breast Cancer Tumorigenesis and Targeted Therapy
Krug, K., Jaehnig, E. J., Satpathy, S., Blumenberg, L. M., Karpova, A. Y., Anurag, M., Miles, G., Mertins, P., Geffen, Y., Tang, L. C., et al. (2020) · Cell · doi:10.1016/j.cell.2020.10.036 · Cited by 553
Self-citationDong, L., Lu, D., Chen, R., Lin, Y., Zhu, H., Zhang, Z., Cai, S., Cui, P., Song, G., Rao, D., et al. (2021) · Cancer Cell · doi:10.1016/j.ccell.2021.12.006 · Cited by 410
Self-citationMüller‐Dott, S., Tsirvouli, E., Vázquez, M., Flores, R. O. R., Badia-i-Mompel, P., Fallegger, R., Türei, D., Lægreid, A., & Sáez-Rodríguez, J. (2023) · Nucleic Acids Research · doi:10.1093/nar/gkad841 · Cited by 425
Zhang, F., Ge, W., Ruan, G., Cai, X., & Guo, T. (2020) · PROTEOMICS · doi:10.1002/pmic.201900276 · Cited by 361
Integrated Proteogenomic Characterization across Major Histological Types of Pediatric Brain Cancer
Petralia, F., Tignor, N., Reva, B., Koptyra, M., Chowdhury, S., Rykunov, D., Krek, A., Ma, W., Zhu, Y., Ji, J., et al. (2020) · Cell · doi:10.1016/j.cell.2020.10.044 · Cited by 317
Self-citationZhou, D. C., Jayasinghe, R. G., Chen, S., Herndon, J. M., Iglesia, M. D., Navale, P., Wendl, M. C., Caravan, W., Sato, K., Storrs, E. P., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01157-1 · Cited by 290
Self-citationApplication of Proteomics in Cancer: Recent Trends and Approaches for Biomarkers Discovery
Kwon, Y. W., Jo, H.-S., Bae, S., Seo, Y., Song, P., Song, M., & Yoon, J. H. (2021) · Frontiers in Medicine · doi:10.3389/fmed.2021.747333 · Cited by 288
Proteogenomic data and resources for pan-cancer analysis
Li, Y., Dou, Y., Leprevost, F. D. V., Geffen, Y., Calinawan, A. P., Aguet, F., Akiyama, Y., Anand, S. K., Birger, C., Cao, S., et al. (2023) · Cancer Cell · doi:10.1016/j.ccell.2023.06.009 · Cited by 266
Self-citationCancer proteogenomics: current impact and future prospects
Mani, D. R., Krug, K., Zhang, B., Satpathy, S., Clauser, K. R., Ding, L., Ellis, M., Gillette, M. A., & Carr, S. A. (2022) · Nature Reviews Cancer · doi:10.1038/s41568-022-00446-5 · Cited by 229
Self-citationA high-stringency blueprint of the human proteome
Adhikari, S., Nice, E. C., Deutsch, E. W., Lane, L., Omenn, G. S., Pennington, S. R., Paik, Y.-K., Overall, C. M., Corrales, F. J., Cristea, I. M., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-19045-9 · Cited by 210
Self-citationZhang, Y., Chen, F., Chandrashekar, D. S., Varambally, S., & Creighton, C. J. (2022) · Nature Communications · doi:10.1038/s41467-022-30342-3 · Cited by 231
Self-citationShared Immunogenic Poly-Epitope Frameshift Mutations in Microsatellite Unstable Tumors
Roudko, V., Bozkus, C. C., Orfanelli, T., McClain, C. B., Carr, C. E., O’Donnell, T. J., Chakraborty, L., Samstein, R. M., Huang, K., Blank, S. V., et al. (2020) · Cell · doi:10.1016/j.cell.2020.11.004 · Cited by 219
Geffen, Y., Anand, S. K., Akiyama, Y., Yaron, T. M., Song, Y., Johnson, J. L., Govindan, A., Babur, Ö., Li, Y., Huntsman, E. M., et al. (2023) · Cell · doi:10.1016/j.cell.2023.07.013 · Cited by 217
Self-citationEpigenetic regulation during cancer transitions across 11 tumour types
Terekhanova, N. V., Karpova, A. Y., Liang, W.-W., Strzalkowski, A. J., Chen, S., Li, Y., Southard-Smith, A. N., Iglesia, M. D., Wendl, M. C., Jayasinghe, R. G., et al. (2023) · Nature · doi:10.1038/s41586-023-06682-5 · Cited by 216
Self-citationThe next horizon in precision oncology: Proteogenomics to inform cancer diagnosis and treatment
Rodriguez, H., Zenklusen, J. C., Staudt, L. M., Doroshow, J. H., & Lowy, D. R. (2021) · Cell · doi:10.1016/j.cell.2021.02.055 · Cited by 197
Self-citationRegulation of Wnt Signaling through Ubiquitination and Deubiquitination in Cancers
Park, H., Kim, J.-W., & Baek, K. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21113904 · Cited by 169
Tryptophan depletion results in tryptophan-to-phenylalanine substitutants
Pataskar, A., Champagne, J., Nagel, R., Kenski, J. C. N., Laos, M., Michaux, J., Pak, H. S., Bleijerveld, O. B., Mordente, K., Navarro, J. M., et al. (2022) · Nature · doi:10.1038/s41586-022-04499-2 · Cited by 149
The AML microenvironment catalyzes a stepwise evolution to gilteritinib resistance
Joshi, S. K., Nechiporuk, T., Bottomly, D., Piehowski, P., Reisz, J. A., Pittsenbarger, J., Kaempf, A. J., Gosline, S. J. C., Wang, Y.-T., Hansen, J., et al. (2021) · Cancer Cell · doi:10.1016/j.ccell.2021.06.003 · Cited by 152
Self-citationGeiszler, D., Kong, A. T., Avtonomov, D. M., Yu, F., Leprevost, F. D. V., & Nesvizhskii, A. I. (2020) · Molecular & Cellular Proteomics · doi:10.1074/mcp.tir120.002216 · Cited by 152
Self-citationA proteogenomic analysis of clear cell renal cell carcinoma in a Chinese population
Qu, Y., Feng, J., Wu, X., Bai, L., Xu, W., Zhu, L., Liu, Y., Xu, F., Zhang, X., Yang, G., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-29577-x · Cited by 144
Self-citationHong, R., Liu, W., DeLair, D., Razavian, N., & Fenyö, D. (2021) · Cell Reports Medicine · doi:10.1016/j.xcrm.2021.100400 · Cited by 154
Self-citationQuantitative Proteomics Using Isobaric Labeling: A Practical Guide
Chen, X., Sun, Y., Zhang, T., Shu, L., Roepstorff, P., & Yang, F. (2021) · Genomics Proteomics & Bioinformatics · doi:10.1016/j.gpb.2021.08.012 · Cited by 133
Self-citationPrognostic Biomarkers in Endometrial Cancer: A Systematic Review and Meta-Analysis
la Rubia, E. C.-D., Martínez-García, E., Dittmar, G. A. G., Gil‐Moreno, A., Cabrera, S., & Colás, E. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9061900 · Cited by 125
Proteomic and phosphoproteomic landscapes of acute myeloid leukemia
Kramer, M. H., Zhang, Q., Sprung, R. W., Day, R. B., Erdmann-Gilmore, P., Li, Y., Xu, Z., Helton, N., George, D. R., Mi, Y., et al. (2022) · Blood · doi:10.1182/blood.2022016033 · Cited by 124
Self-citationLiu, X., Liu, Y., Liu, Z., Lin, C., Meng, F., Xu, L., Zhang, X., Zhang, C., Zhang, P., Gong, S., et al. (2021) · Molecular Cancer · doi:10.1186/s12943-021-01412-9 · Cited by 121
Self-citationLehtiö, J., Arslan, T., Siavelis, I., Pan, Y., Socciarelli, F., Berkovska, O., Umer, H. M., Mermelekas, G., Pirmoradian, M., Jönsson, M., et al. (2021) · Nature Cancer · doi:10.1038/s43018-021-00259-9 · Cited by 117
Pan-cancer proteogenomics connects oncogenic drivers to functional states
Li, Y., Porta‐Pardo, E., Tokheim, C. J., Bailey, M. H., Yaron, T. M., Stathias, V., Geffen, Y., Imbach, K. J., Cao, S., Anand, S. K., et al. (2023) · Cell · doi:10.1016/j.cell.2023.07.014 · Cited by 124
Self-citationIntegrated proteogenomic characterization of glioblastoma evolution
Kim, K., Migliozzi, S., Koo, H., Hong, J.-H., Park, S. M., Kim, S., Kwon, H. J., Ha, S., Garofano, L., Oh, Y. T., et al. (2024) · Cancer Cell · doi:10.1016/j.ccell.2023.12.015 · Cited by 123
Self-citationMoving pan-cancer studies from basic research toward the clinic
Chen, F., Wendl, M. C., Wyczalkowski, M. A., Bailey, M. H., Li, Y., & Ding, L. (2021) · Nature Cancer · doi:10.1038/s43018-021-00250-4 · Cited by 108
Self-citationMcKerrow, W., Wang, X., Mendez‐Dorantes, C., Mita, P., Cao, S., Grivainis, M., Ding, L., LaCava, J., Burns, K. H., Boeke, J. D., et al. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2115999119 · Cited by 112
Self-citationLiang, W.-W., Lu, R. J.-H., Jayasinghe, R. G., Foltz, S. M., Porta-Pardo, E., Geffen, Y., Wendl, M. C., Lazcano, R., Kolodziejczak, I., Song, Y., et al. (2023) · Cancer Cell · doi:10.1016/j.ccell.2023.07.013 · Cited by 105
Self-citationUntargeted metabolomics analysis of esophageal squamous cell cancer progression
Yang, T., Hui, R., Nouws, J., Sauler, M., Zeng, T., & Wu, Q. (2022) · Journal of Translational Medicine · doi:10.1186/s12967-022-03311-z · Cited by 101
Histone Methyltransferase SETDB1: A Common Denominator of Tumorigenesis with Therapeutic Potential
Strepkos, D., Markouli, M., Κλώνου, Α., Papavassiliou, A. G., & Piperi, C. (2020) · Cancer Research · doi:10.1158/0008-5472.can-20-2906 · Cited by 102
Pan-cancer proteogenomics characterization of tumor immunity
Petralia, F., Ma, W., Yaron, T. M., Caruso, F. P., Tignor, N. L., Wang, J. M., Charytonowicz, D., Johnson, J. L., Huntsman, E. M., Marino, G. B., et al. (2024) · Cell · doi:10.1016/j.cell.2024.01.027 · Cited by 104
Self-citationProteomic Analysis of Exosomes for Discovery of Protein Biomarkers for Prostate and Bladder Cancer
Wang, Y.-T., Shi, T., Srivastava, S., Kagan, J., Liu, T., & Rodland, K. (2020) · Cancers · doi:10.3390/cancers12092335 · Cited by 89
Self-citationLynch Syndrome and MSI-H Cancers: From Mechanisms to “Off-The-Shelf” Cancer Vaccines
Roudko, V., Bozkus, C. C., Greenbaum, B. D., Lucas, A. L., Samstein, R. M., & Bhardwaj, N. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.757804 · Cited by 90
Zhang, J., Chen, S., Wei, S., Cheng, S., Shi, R., Zhao, R., Zhang, W., Zhang, Q., Teng, H., Feng, D., et al. (2022) · Redox Biology · doi:10.1016/j.redox.2022.102493 · Cited by 90
Self-citationMolecular subtypes of endometrial cancer: Implications for adjuvant treatment strategies
Yang, Y., Wu, S. F., & Bao, W. (2023) · International Journal of Gynecology & Obstetrics · doi:10.1002/ijgo.14969 · Cited by 96
Current and Emerging Prognostic Biomarkers in Endometrial Cancer
Njoku, K., Barr, C. E., & Crosbie, E. J. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.890908 · Cited by 87
Upadhya, S. R., & Ryan, C. J. (2022) · Cell Reports Methods · doi:10.1016/j.crmeth.2022.100288 · Cited by 81
Wang, T.-Y., Liu, Q., Ren, Y., Alam, S. K., Wang, L., Zhu, Z., Hoeppner, L. H., Dehm, S. M., Cao, Q., & Yang, R. (2021) · Molecular Cell · doi:10.1016/j.molcel.2021.03.028 · Cited by 77
Self-citationGu, C., Wang, W., Tang, X., Xu, T., Zhang, Y., Guo, M., Wei, R., Wang, Y., Jurczyszyn, A. J., Janz, S., et al. (2021) · Molecular Cancer · doi:10.1186/s12943-021-01380-0 · Cited by 70
Self-citationSETDB1 in cancer: overexpression and its therapeutic implications.
Lazaro-Camp, V. J., Salari, K., Meng, X., & Yang, S. (2021) · PubMed Central · Cited by 69
Tang, X., Guo, M., Ding, P., Deng, Z., Ke, M., Yuan, Y., Zhou, Y., Lin, Z., Li, M., Gu, C., et al. (2021) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-021-00746-6 · Cited by 67
Wnt Signaling in Gynecologic Malignancies
McMellen, A. N., Woodruff, E. R., Corr, B. R., Bitler, B. G., & Moroney, M. R. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21124272 · Cited by 67
Genetic Susceptibility to Endometrial Cancer: Risk Factors and Clinical Management
Dörk, T., Hillemanns, P., Tempfer, C., Breu, J., & Fleisch, M. C. (2020) · Cancers · doi:10.3390/cancers12092407 · Cited by 69
Abelin, J. G., Bergstrom, E. J., Rivera, K. D., Taylor, H. B., Klaeger, S., Xu, C., Verzani, E. K., White, C. J., Woldemichael, H. B., Virshup, M., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-37547-0 · Cited by 65
Self-citationCampeanu, I. J., Jiang, Y., Liu, L., Pilecki, M., Najor, A., Cobani, E., Manning, M., Zhang, X. M., & Yang, Z.-Q. (2021) · Scientific Reports · doi:10.1038/s41598-021-94019-5 · Cited by 62
Yin, W., Fuchun, L., Chen, M., Xiaoqing, Q., Hao, L., Yuan, L., & Desheng, Y. (2021) · Aging · doi:10.18632/aging.203190 · Cited by 60
Molecular mechanisms of psychiatric diseases
Blokhin, I. O., Khorkova, O., Saveanu, R. V., & Wahlestedt, C. (2020) · Neurobiology of Disease · doi:10.1016/j.nbd.2020.105136 · Cited by 64
Immunopeptidomics-based identification of naturally presented non-canonical circRNA-derived peptides
Ferreira, H. J., Stevenson, B. J., Pak, H., Yu, F., Oliveira, J., Huber, F., Taillandier-Coindard, M., Michaux, J., Altimiras, E. R., Kraemer, A. I., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-46408-3 · Cited by 61
Self-citationRNA Dysregulation: An Expanding Source of Cancer Immunotherapy Targets
Pan, Y., Kadash-Edmondson, K. E., Wang, R., Phillips, J., Liu, S., Ribas, A., Aplenc, R., Witte, O. N., & Xing, Y. (2021) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2021.01.006 · Cited by 59
A proteogenomics data-driven knowledge base of human cancer
Liao, Y., Savage, S. R., Dou, Y., Shi, Z., Yi, X., Jiang, W., Lei, J. T., & Zhang, B. (2023) · Cell Systems · doi:10.1016/j.cels.2023.07.007 · Cited by 60
Self-citationJin, X., Liu, L., Jia Rui, W. U., Jin, X., Yu, G., Jia, L., Wang, F., Shi, M., Lu, H., Liu, J., et al. (2021) · Clinical and Translational Medicine · doi:10.1002/ctm2.538 · Cited by 56
Xing, X., Hu, E., Ouyang, J., Zhong, X., Wang, F., Liu, K., Cai, L., Zhou, Y., Wang, Y., Chen, G., et al. (2023) · Cell Reports Medicine · doi:10.1016/j.xcrm.2023.101315 · Cited by 59
Self-citationFacts and Hopes in Immunotherapy of Endometrial Cancer
Marín‐Jiménez, J. A., García‐Mulero, S., Matías‐Guiu, X., & Piulats, J. M. (2022) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-21-1564 · Cited by 54
Proteogenomic insights suggest druggable pathways in endometrial carcinoma
Dou, Y., Katsnelson, L., Gritsenko, M., Hu, Y., Reva, B. A., Hong, R., Wang, Y.-T., Kołodziejczak, I., Lu, R. J.-H., Tsai, C., et al. (2023) · Cancer Cell · doi:10.1016/j.ccell.2023.07.007 · Cited by 61
Self-citationZhang, K., Zakeri, A., Alban, T. J., Dong, J., Ta, H. M., Zalavadia, A. H., Branicky, A., Zhao, H., Jurić, I., Husic, H., et al. (2024) · Cell Reports · doi:10.1016/j.celrep.2023.113661 · Cited by 52
Self-citationStructure, Activity and Function of the SETDB1 Protein Methyltransferase
Markouli, M., Strepkos, D., & Piperi, C. (2021) · Life · doi:10.3390/life11080817 · Cited by 51
Mass spectrometry‐based targeted proteomics for analysis of protein mutations
Lin, T., Zhang, T., Kitata, R. B., Liu, T., Smith, R. D., Qian, W., & Shi, T. (2021) · Mass Spectrometry Reviews · doi:10.1002/mas.21741 · Cited by 51
Self-citationQadir, J., Wen, S.-Y., Yuan, H., & Yang, B. B. (2022) · Molecular Therapy · doi:10.1016/j.ymthe.2022.12.005 · Cited by 52
Qin, M., Hamanishi, J., Ukita, M., Yamanoi, K., Takamatsu, S., Abiko, K., Murakami, R., Miyamoto, T., Suzuki, H., Ueda, A., et al. (2021) · Cancer Immunology Immunotherapy · doi:10.1007/s00262-021-03093-1 · Cited by 50
Aldea, M. D., Friboulet, L., Apcher, S., Jaulin, F., Mosele, F., Sourisseau, T., Soria, J., Nikolaev, S. I., & André, F. (2023) · ESMO Open · doi:10.1016/j.esmoop.2023.101642 · Cited by 52
Chang, L., Jung, N. Y., Atari, A., Rodriguez, D. J., Kesar, D., Song, T., Rees, M. G., Ronan, M. M., Li, R., Ruiz, P. A., et al. (2023) · Nature Genetics · doi:10.1038/s41588-023-01515-7 · Cited by 48
The Expression, Functions and Mechanisms of Circular RNAs in Gynecological Cancers
Dong, P., Xu, D., Xiong, Y., Yue, J., Ihira, K., Konno, Y., & Watari, H. (2020) · Cancers · doi:10.3390/cancers12061472 · Cited by 46
Human-Derived Model Systems in Gynecological Cancer Research
Lõhmussaar, K., Boretto, M., & Clevers, H. C. (2020) · Trends in cancer · doi:10.1016/j.trecan.2020.07.007 · Cited by 47
López‐Janeiro, Á., Ruz‐Caracuel, I., Ramón-Patiño, J. L., Rı́os, V. D. L., Villalba-Esparza, M., Berjón, A., Yébenes, L., Hernández, A., Masetto, I., Kadioglu, E., et al. (2021) · Cancers · doi:10.3390/cancers13040794 · Cited by 46
Zhu, H., Lin, Y., Lu, D., Wang, S., Liu, Y., Dong, L., Meng, Q., Gao, J., Wang, Y., Song, N., et al. (2023) · National Science Review · doi:10.1093/nsr/nwad167 · Cited by 46
Self-citationRuz‐Caracuel, I., López‐Janeiro, Á., Heredia-Soto, V., Ramón-Patiño, J. L., Yébenes, L., Berjón, A., Hernández, A., Gallego, A., Ruiz, P., Redondo, A., et al. (2021) · Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin · doi:10.1007/s00428-021-03176-5 · Cited by 45
Tian, S., Zhan, D., Yu, Y., Wang, Y., Liu, M., Tan, S., Li, Y., Song, L., Qin, Z., Li, X., et al. (2023) · Genome Biology · doi:10.1186/s13059-023-03048-y · Cited by 43
Self-citationGlobal impact of somatic structural variation on the cancer proteome
Chen, F., Zhang, Y., Chandrashekar, D. S., Varambally, S., & Creighton, C. J. (2023) · Nature Communications · doi:10.1038/s41467-023-41374-8 · Cited by 46
Self-citationDeep learning integrates histopathology and proteogenomics at a pan-cancer level
Wang, J. M., Hong, R., Demicco, E. G., Tan, J., Lazcano, R., Moreira, A. L., Li, Y., Calinawan, A. P., Razavian, N., Schraink, T., et al. (2023) · Cell Reports Medicine · doi:10.1016/j.xcrm.2023.101173 · Cited by 44
Self-citationZhan, L., Zhang, J., Zhang, J., Liu, X., Zhu, S., Shi, Y., He, Y., Wang, W., Fan, Y., Tang, Z., et al. (2021) · Cancer Letters · doi:10.1016/j.canlet.2021.12.031 · Cited by 40
Self-citationSimplified and Unified Access to Cancer Proteogenomic Data
Lindgren, C. M., Adams, D. W., Kimball, B., Boekweg, H., Tayler, S., Pugh, S. L., & Payne, S. (2021) · Journal of Proteome Research · doi:10.1021/acs.jproteome.0c00919 · Cited by 42
Self-citationLuan, N., Chen, Y., Li, Q., Mu, Y., Zhou, Q., Ye, X., Deng, Q., Ling, L., Wang, J., & Wang, J. (2021) · Europe PMC (PubMed Central) · Cited by 40
Self-citationMonsivais, D., Vasquez, Y. M., Chen, F., Zhang, Y., Chandrashekar, D. S., Faver, J. C., Masand, R. P., Scheurer, M. E., Varambally, S., Matzuk, M. M., et al. (2021) · Oncogene · doi:10.1038/s41388-021-01681-0 · Cited by 42
Self-citationXiang, R., Ma, L., Yang, M., Zheng, Z., Chen, X., Jia, F., Xie, F., Zhou, Y., Li, F., Wu, K., et al. (2021) · Communications Biology · doi:10.1038/s42003-021-02007-2 · Cited by 45
Self-citationLópez‐Janeiro, Á., Villalba-Esparza, M., Brizzi, M. E., Jiménez‐Sánchez, D., Ruz‐Caracuel, I., Kadioglu, E., Masetto, I., Goubert, V., García-Ros, D., Melero, I., et al. (2022) · The Journal of Pathology · doi:10.1002/path.6012 · Cited by 39
Liu, D., Li, M., Zhao, Z., Zhou, L., Zhi, F., Guo, Z., & Cui, J. (2024) · Cancer Research · doi:10.1158/0008-5472.can-23-3971 · Cited by 44
Ren, F., Wang, L., Wang, Y., Wang, J., Wang, Y., Song, X., Zhang, G., Nie, F., & Lin, S. (2024) · Cell Death and Disease · doi:10.1038/s41419-024-06960-8 · Cited by 46
Self-citationComputational Analysis of Phosphoproteomics Data in Multi‐Omics Cancer Studies
Mantini, G., Pham, T. V., Piersma, S. R., & Jiménez, C. R. (2020) · PROTEOMICS · doi:10.1002/pmic.201900312 · Cited by 38
Lu, X., Li, J., Liu, S., Wang, H., & Chen, B. (2022) · International Journal of Endocrinology · doi:10.1155/2022/5006123 · Cited by 38
Kuras, M., Woldmar, N., Kim, Y., Hefner, M., Malm, J., Moldvay, J., Döme, B., Fillinger, J., Pizzatti, L., Gil, J., et al. (2021) · Journal of Proteome Research · doi:10.1021/acs.jproteome.0c00850 · Cited by 36
Thomas, S. N., Friedrich, B., Schnaubelt, M., Chan, D. W., Zhang, H., & Aebersold, R. H. (2020) · iScience · doi:10.1016/j.isci.2020.101079 · Cited by 34
Self-citationApplication prospect of circular RNA-based neoantigen vaccine in tumor immunotherapy
Li, M., Wang, Y., Wu, P., Zhang, S., Gong, Z., Liao, Q., Guo, C., Wang, F., Li, Y., Zeng, Z., et al. (2023) · Cancer Letters · doi:10.1016/j.canlet.2023.216190 · Cited by 35
Self-citationJuárez‐Barber, E., Segura-Benítez, M., Carbajo‐García, M. C., Bas-Rivas, A., Faus, A., Vidal, C., Gilés, J., Labarta, E., Pellicer, A., Cervelló, I., et al. (2022) · Reproductive BioMedicine Online · doi:10.1016/j.rbmo.2022.12.008 · Cited by 34
Srivastava, H., Lippincott, M. J., Currie, J., Canfield, R., Lam, M. P. Y., & Lau, E. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1010702 · Cited by 36
Identification of novel prognosis-related genes in the endometrial cancer immune microenvironment
Ma, J., Zhang, J., Yang, D., & Ma, X. (2020) · Aging · doi:10.18632/aging.104083 · Cited by 33
Mapping oncogenic protein interactions for precision medicine
Tabar, M. S., Francis, H., Yeo, D., Bailey, C. G., & Rasko, J. E. J. (2022) · International Journal of Cancer · doi:10.1002/ijc.33954 · Cited by 30
A proteogenomic analysis of cervical cancer reveals therapeutic and biological insights
Yu, J. X., Gui, X., Zou, Y., Liu, Q., Yang, Z., An, J., Guo, X., Wang, K., Guo, J., Huang, M., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-53830-0 · Cited by 35
Self-citationVenetis, K., Frascarelli, C., Bielo, L. B., Cursano, G., Adorisio, R., Ivanova, M. D., Mane, E., Peruzzo, V., Concardi, A., Negrelli, M., et al. (2025) · European Journal of Cancer · doi:10.1016/j.ejca.2025.115233 · Cited by 34
Trip, D. S. L., van Oostrum, M., Memon, D., Frommelt, F., Baptista, D., Panneerselvam, K., Bradley, G., Licata, L., Hermjakob, H., Orchard, S. E., et al. (2025) · Nature Biotechnology · doi:10.1038/s41587-025-02659-z · Cited by 46
Cai, L., Hu, C., Yu, S., Liu, L., Zhao, J., Zhao, Y., Lin, F. Y., Du, X., Yu, Q., & Xiao, Q. (2020) · Frontiers in Genetics · doi:10.3389/fgene.2020.582274 · Cited by 32
Song, Y., Das, D., Zhang, Y., Chen, M., Fernie, A. R., Zhu, F., & Han, J. (2023) · Trends in biotechnology · doi:10.1016/j.tibtech.2023.05.010 · Cited by 36
Self-citationButtigieg, M. M., Vlasschaert, C., Bick, A. G., Vanner, R. J., & Rauh, M. J. (2025) · Cell Reports Medicine · doi:10.1016/j.xcrm.2025.101989 · Cited by 30
Metadata
- Authors
- Dou, Y., Kawaler, E. A., Cui Zhou, D., Gritsenko, M. A., Huang, C., Blumenberg, L., Karpova, A., Petyuk, V. A., Savage, S. R., Satpathy, S., Liu, W., Wu, Y., Tsai, C.-F., Wen, B., Li, Z., Cao, S., Moon, J., Shi, Z., Cornwell, M., Wyczalkowski, M. A., Chu, R. K., Vasaikar, S., Zhou, H., Gao, Q., Moore, R. J., Li, K., Sethuraman, S., Monroe, M. E., Zhao, R., Heiman, D., Krug, K., Clauser, K., Kothadia, R., Maruvka, Y., Pico, A. R., Oliphant, A. E., Hoskins, E. L., Pugh, S. L., Beecroft, S. J. I., Adams, D. W., Jarman, J. C., Kong, A., Chang, H.-Y., Reva, B., Liao, Y., Rykunov, D., Colaprico, A., Chen, X. S., Czekański, A., Jędryka, M., Matkowski, R., Wiznerowicz, M., Hiltke, T., Boja, E., Kinsinger, C. R., Mesri, M., Robles, A. I., Rodriguez, H., Mutch, D., Fuh, K., Ellis, M. J., DeLair, D., Thiagarajan, M., Mani, D. R., Getz, G., Noble, M., Nesvizhskii, A. I., Wang, P., Anderson, M. L., Levine, D. A., Smith, R. D., Payne, S. H., Ruggles, K. V., Rodland, K. D., Ding, L., Zhang, B., Liu, T., Fenyö, D., Agarwal, A., Anurag, M., Avtonomov, D., Birger, C., Birrer, M. J., Boca, S. M., Bocik, W. E., Borate, U., Borucki, M., Burke, M. C., Cai, S., Calinawan, A., Carr, S. A., Carter, S., Castro, P., Cerda, S., Chaikin, M., Chan, D. W., Chan, D., Charamut, A., Chen, F., Chen, J., Chen, L., Chen, L. S., Chesla, D., Chheda, M. G., Chinnaiyan, A. M., Chowdhury, S., Cieslik, M. P., Clark, D. J., Cottingham, S., Culpepper, H., Day, J., De Young, S., Demir, E., Dhanasekaran, S. M., Dhir, R., Domagalski, M. J., Dottino, P., Druker, B., Duffy, E., Dyer, M., Edwards, N. J., Edwards, R., Elburn, K., Field, J. B., Francis, A., Gabriel, S., Geffen, Y., Geiszler, D., Gillette, M. A., Godwin, A. K., Grady, P., Hannick, L., Hariharan, P., Hilsenbeck, S., Hindenach, B., Hoadley, K. A., Hong, R., Hostetter, G., Hsieh, J. J., Hu, Y., Ittmann, M. M., Jaehnig, E., Jewell, S. D., Ji, J., Jones, C. D., Karabon, R., Ketchum, K. A., Khan, M., Kim, B.-J., Krek, A., Krubit, T., Kumar-Sinha, C., Leprevost, F. D., Lewis, M., Li, Q. K., Li, Y., Liu, H., Lubinski, J., Ma, W., Madan, R., Malc, E., Malovannaya, A., Mareedu, S., Markey, S. P., Marrero-Oliveras, A., Martignetti, J., McDermott, J., McGarvey, P. B., McGee, J., Mieczkowski, P., Modugno, F., Montgomery, R., Newton, C. J., Omenn, G. S., Paulovich, A. G., Perou, A. M., Petralia, F., Piehowski, P., Polonskaya, L., Qi, L., Richey, S., Robinson, K., Roche, N., Rohrer, D. C., Schadt, E. E., Schnaubelt, M., Shi, Y., Skelly, T., Sokoll, L. J., Song, X., Stein, S. E., Suh, J., Tan, D., Tansil, D., Teo, G. C., Thangudu, R. R., Tognon, C., Traer, E., Tyner, J., Um, K. S., Valley, D. R., Vatanian, N., Vats, P., Velvulou, U., Vernon, M., Wang, L.-B., Wang, Y., Webster, A., Westbrook, T., Wheeler, D., Whiteaker, J. R., Wilson, G. D., Zakhartsev, Y., Zelt, R., Zhang, H., Zhang, Y., Zhang, Z., & Zhao, G.
- Affiliations
- Baylor College of Medicine (US)
- NYU Langone Health (US)
- Pacific Northwest National Laboratory (US)
- Washington University in St. Louis (US)
- Broad Institute (US)
- The University of Texas MD Anderson Cancer Center (US)
- Gladstone Institutes (US)
- Brigham Young University (US)
- University of Michigan (US)
- Icahn School of Medicine at Mount Sinai (US)
- University of Miami (US)
- Wroclaw Medical University (PL)
- Poznan University of Medical Sciences (PL)
- National Cancer Institute (US)
- Frederick National Laboratory for Cancer Research (US)
- University of South Florida (US)
- Corresponding author
- Rodland, Karin D.
- Ding, Li
- Zhang, Bing
- Liu, Tao
- Fenyö, David
- ORCID
- Dou, Yongchao
- Kawaler, Emily A.
- Huang, Chen
- Blumenberg, Lili
- Karpova, Alla
- Petyuk, Vladislav A.
- Savage, Sara R.
- Satpathy, Shankha
- Liu, Wenke
- Wu, Yige
- Tsai, Chia-Feng
- Wen, Bo
- Li, Zhi
- Cao, Song
- Moon, Jamie
- Shi, Zhiao
- Cornwell, MacIntosh
- Wyczalkowski, Matthew A.
- Chu, Rosalie K.
- Vasaikar, Suhas
- Zhou, Hua
- Gao, Qingsong
- Moore, Ronald J.
- Li, Kai
- Sethuraman, Sunantha
- Monroe, Matthew E.
- Zhao, Rui
- Heiman, David
- Krug, Karsten
- Clauser, Karl
- Kothadia, Ramani
- Maruvka, Yosef
- Pico, Alexander R.
- Hoskins, Emily L.
- Pugh, Samuel L.
- Kong, Andy
- Chang, Hui-Yin
- Reva, Boris
- Liao, Yuxing
- Rykunov, Dmitry
- Colaprico, Antonio
- Chen, Xi Steven
- Czekański, Andrzej
- Jędryka, Marcin
- Matkowski, Rafał
- Wiznerowicz, Maciej
- Hiltke, Tara
- Boja, Emily
- Kinsinger, Christopher R.
- Mesri, Mehdi
- Robles, Ana I.
- Rodriguez, Henry
- Mutch, David
- Fuh, Katherine
- Ellis, Matthew J.
- DeLair, Deborah
- Thiagarajan, Mathangi
- Mani, D.R.
- Getz, Gad
- Noble, Michael
- Nesvizhskii, Alexey I.
- Wang, Pei
- Anderson, Matthew L.
- Levine, Douglas A.
- Smith, Richard D.
- Payne, Samuel H.
- Ruggles, Kelly V.
- Rodland, Karin D.
- Ding, Li
- Zhang, Bing
- Liu, Tao
- Fenyö, David
- Agarwal, Anupriya
- Anurag, Meenakshi
- Avtonomov, Dmitry
- Birrer, Michael J.
- Boca, Simina M.
- Bocik, William E.
- Borate, Uma
- Burke, Meghan C.
- Cai, Shuang
- Calinawan, Anna
- Carr, Steven A.
- Chan, Daniel W.
- Chan, Doug
- Chen, Feng
- Chen, Lijun
- Chheda, Milan G.
- Chinnaiyan, Arul M.
- Chowdhury, Shrabanti
- Cieslik, Marcin P.
- Clark, David J.
- Demir, Emek
- Dhanasekaran, Saravana Mohan
- Dhir, Rajiv
- Domagalski, Marcin J.
- Druker, Brian
- Duffy, Elizabeth
- Dyer, Maureen
- Edwards, Nathan J.
- Edwards, Robert
- Francis, Alicia
- Gabriel, Stacey
- Geffen, Yifat
- Geiszler, Daniel
- Gillette, Michael A.
- Godwin, Andrew K.
- Hannick, Linda
- Hoadley, Katherine A.
- Hong, Runyu
- Hostetter, Galen
- Hsieh, James J.
- Hu, Yingwei
- Ittmann, Michael M.
- Jaehnig, Eric
- Jewell, Scott D.
- Ji, Jiayi
- Jones, Corbin D.
- Ketchum, Karen A.
- Kim, Beom-Jun
- Krek, Azra
- Leprevost, Felipe D.
- Li, Qing Kay
- Li, Yize
- Liu, Hongwei
- Ma, Weiping
- Madan, Rashna
- Malc, Ewa
- Malovannaya, Anna
- McGarvey, Peter B.
- Mieczkowski, Piotr
- Modugno, Francesmary
- Omenn, Gilbert S.
- Paulovich, Amanda G.
- Petralia, Francesca
- Piehowski, Paul
- Rohrer, Daniel C.
- Schadt, Eric E.
- Schnaubelt, Michael
- Shi, Yan
- Sokoll, Lori J.
- Song, Xiaoyu
- Stein, Stephen E.
- Suh, James
- Teo, Guo Ci
- Thangudu, Ratna R.
- Tognon, Cristina
- Traer, Elie
- Tyner, Jeffrey
- Vats, Pankaj
- Wang, Liang-Bo
- Wang, Ying
- Westbrook, Thomas
- Wheeler, David
- Whiteaker, Jeffrey R.
- Wilson, George D.
- Zhang, Hui
- Zhang, Yuping
- Zhang, Zhen
- Zhao, Grace
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2020-02
- Volume
- 180
- Issue
- 4
- Pages
- 729-748.e26
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC7233456
- OpenAlex
- W3006211741
- Cited by
- 485
- References
- 188
- Citations by year
- 2026: 47 · 2025: 67 · 2024: 82 · 2023: 93 · 2022: 80 · 2021: 82 · 2020: 33
- FWCI
- 45.59
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Cell (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Digital Commons@Becker (Washington University School of Medicine) (submittedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- Funders
- School of Medicine, New York University
- Topics
- Health Sciences › Medicine › Obstetrics and Gynecology › Endometrial and Cervical Cancer Treatments
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Health Sciences › Medicine › Oncology › Ovarian cancer diagnosis and treatment
- Keywords
- endometrial cancer, proteogenomics, endometrioid carcinoma, serous carcinoma, p53 pathway, Wnt/β-catenin signaling, circular RNA, epithelial-mesenchymal transition, histone acetylation, tumor immune microenvironment, neoantigens, cancer-testis antigens, immunotherapy, therapeutic target, tumor subtypes
- MeSH terms
- Acetylation, Animals, Antigens, Neoplasm, Carcinoma, Female, Humans, Phosphorylation, Protein Processing, Post-Translational, Signal Transduction, Gene Expression Regulation, Neoplastic, Endometrial Neoplasms, Microsatellite Repeats, Proteome, Feedback, Physiological, MicroRNAs, Genomic Instability, Mice, Epithelial-Mesenchymal Transition, Transcriptome
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
