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Page 1
Proteogenomic data and resources for pan-cancer analysis.
Li Y, Dou Y, Da Veiga Leprevost F, Geffen Y, Calinawan AP, Aguet F, Akiyama Y, Anand S, Birger C, Cao S, Chaudhary R, Chilappagari P, Cieslik M, Colaprico A, Zhou DC, Day C, Domagalski MJ, Esai Selvan M, Fenyö D, Foltz SM, Francis A, Gonzalez-Robles T, Gümüş ZH, Heiman D, Holck M, Hong R, Hu Y, Jaehnig EJ, Ji J, Jiang W, Katsnelson L, Ketchum KA, Klein RJ, Lei JT, Liang WW, Liao Y, Lindgren CM, Ma W, Ma L, MacCoss MJ, Martins Rodrigues F, McKerrow W, Nguyen N, Oldroyd R, Pilozzi A, Pugliese P, Reva B, Rudnick P, Ruggles KV, Rykunov D, Savage SR, Schnaubelt M, Schraink T, Shi Z, Singhal D, Song X, Storrs E, Terekhanova NV, Thangudu RR, Thiagarajan M, Wang LB, Wang JM, Wang Y, Wen B, Wu Y, Wyczalkowski MA, Xin Y, Yao L, Yi X, Zhang H, Zhang Q, Zuhl M, Getz G, Ding L, Nesvizhskii AI, Wang P, Robles AI, Zhang B, Payne SH; Clinical Proteomic Tumor Analysis Consortium. Li Y, et al. Cancer Cell. 2023 Aug 14;41(8):1397-1406. doi: 10.1016/j.ccell.2023.06.009. Cancer Cell. 2023. PMID: 37582339 Free article. Review.
The National Cancer Institute's Clinical Proteomic Tumor Analysis Consortium (CPTAC) investigates tumors from a proteogenomic perspective, creating rich multi-omics datasets connecting genomic aberrations to cancer phenotypes. To facilitate pan-cancer investigations …
The National Cancer Institute's Clinical Proteomic Tumor Analysis Consortium (CPTAC) investigates tumors from a proteogenomic …
Lung adenocarcinoma promotion by air pollutants.
Hill W, Lim EL, Weeden CE, Lee C, Augustine M, Chen K, Kuan FC, Marongiu F, Evans EJ Jr, Moore DA, Rodrigues FS, Pich O, Bakker B, Cha H, Myers R, van Maldegem F, Boumelha J, Veeriah S, Rowan A, Naceur-Lombardelli C, Karasaki T, Sivakumar M, De S, Caswell DR, Nagano A, Black JRM, Martínez-Ruiz C, Ryu MH, Huff RD, Li S, Favé MJ, Magness A, Suárez-Bonnet A, Priestnall SL, Lüchtenborg M, Lavelle K, Pethick J, Hardy S, McRonald FE, Lin MH, Troccoli CI, Ghosh M, Miller YE, Merrick DT, Keith RL, Al Bakir M, Bailey C, Hill MS, Saal LH, Chen Y, George AM, Abbosh C, Kanu N, Lee SH, McGranahan N, Berg CD, Sasieni P, Houlston R, Turnbull C, Lam S, Awadalla P, Grönroos E, Downward J, Jacks T, Carlsten C, Malanchi I, Hackshaw A, Litchfield K; TRACERx Consortium; DeGregori J, Jamal-Hanjani M, Swanton C. Hill W, et al. Nature. 2023 Apr;616(7955):159-167. doi: 10.1038/s41586-023-05874-3. Epub 2023 Apr 5. Nature. 2023. PMID: 37020004 Free PMC article.
This process results in a progenitor-like cell state within EGFR mutant lung alveolar type II epithelial cells that fuels tumorigenesis. Ultradeep mutational profiling of histologically normal lung tissue from 295 individuals across 3 clinical cohorts revealed oncogenic EG …
This process results in a progenitor-like cell state within EGFR mutant lung alveolar type II epithelial cells that fuels tumorigenesis. Ult …
Discovering dominant tumor immune archetypes in a pan-cancer census.
Combes AJ, Samad B, Tsui J, Chew NW, Yan P, Reeder GC, Kushnoor D, Shen A, Davidson B, Barczak AJ, Adkisson M, Edwards A, Naser M, Barry KC, Courau T, Hammoudi T, Argüello RJ, Rao AA, Olshen AB; Immunoprofiler Consortium; Cai C, Zhan J, Davis KC, Kelley RK, Chapman JS, Atreya CE, Patel A, Daud AI, Ha P, Diaz AA, Kratz JR, Collisson EA, Fragiadakis GK, Erle DJ, Boissonnas A, Asthana S, Chan V, Krummel MF. Combes AJ, et al. Cell. 2022 Jan 6;185(1):184-203.e19. doi: 10.1016/j.cell.2021.12.004. Epub 2021 Dec 27. Cell. 2022. PMID: 34963056 Free PMC article.
Cancers display significant heterogeneity with respect to tissue of origin, driver mutations, and other features of the surrounding tissue. It is likely that individual tumors engage common patterns of the immune system-here "archetypes"-creating prototypical non-destructi …
Cancers display significant heterogeneity with respect to tissue of origin, driver mutations, and other features of the surrounding tissue. …
Pan-cancer analysis of post-translational modifications reveals shared patterns of protein regulation.
Geffen Y, Anand S, Akiyama Y, Yaron TM, Song Y, Johnson JL, Govindan A, Babur Ö, Li Y, Huntsman E, Wang LB, Birger C, Heiman DI, Zhang Q, Miller M, Maruvka YE, Haradhvala NJ, Calinawan A, Belkin S, Kerelsky A, Clauser KR, Krug K, Satpathy S, Payne SH, Mani DR, Gillette MA, Dhanasekaran SM, Thiagarajan M, Mesri M, Rodriguez H, Robles AI, Carr SA, Lazar AJ, Aguet F, Cantley LC, Ding L, Getz G; Clinical Proteomic Tumor Analysis Consortium. Geffen Y, et al. Cell. 2023 Aug 31;186(18):3945-3967.e26. doi: 10.1016/j.cell.2023.07.013. Epub 2023 Aug 14. Cell. 2023. PMID: 37582358 Free article.
Here, we analyze the largest collection of proteogenomics data from 1,110 patients with PTM profiles across 11 cancer types (10 from the National Cancer Institute's Clinical Proteomic Tumor Analysis Consortium [CPTAC]). Our study reveals pan-cancer patterns of chang …
Here, we analyze the largest collection of proteogenomics data from 1,110 patients with PTM profiles across 11 cancer types (10 from …
Phylogenetic ctDNA analysis depicts early-stage lung cancer evolution.
Abbosh C, Birkbak NJ, Wilson GA, Jamal-Hanjani M, Constantin T, Salari R, Le Quesne J, Moore DA, Veeriah S, Rosenthal R, Marafioti T, Kirkizlar E, Watkins TBK, McGranahan N, Ward S, Martinson L, Riley J, Fraioli F, Al Bakir M, Grönroos E, Zambrana F, Endozo R, Bi WL, Fennessy FM, Sponer N, Johnson D, Laycock J, Shafi S, Czyzewska-Khan J, Rowan A, Chambers T, Matthews N, Turajlic S, Hiley C, Lee SM, Forster MD, Ahmad T, Falzon M, Borg E, Lawrence D, Hayward M, Kolvekar S, Panagiotopoulos N, Janes SM, Thakrar R, Ahmed A, Blackhall F, Summers Y, Hafez D, Naik A, Ganguly A, Kareht S, Shah R, Joseph L, Marie Quinn A, Crosbie PA, Naidu B, Middleton G, Langman G, Trotter S, Nicolson M, Remmen H, Kerr K, Chetty M, Gomersall L, Fennell DA, Nakas A, Rathinam S, Anand G, Khan S, Russell P, Ezhil V, Ismail B, Irvin-Sellers M, Prakash V, Lester JF, Kornaszewska M, Attanoos R, Adams H, Davies H, Oukrif D, Akarca AU, Hartley JA, Lowe HL, Lock S, Iles N, Bell H, Ngai Y, Elgar G, Szallasi Z, Schwarz RF, Herrero J, Stewart A, Quezada SA, Peggs KS, Van Loo P, Dive C, Lin CJ, Rabinowitz M, Aerts HJWL, Hackshaw A, Shaw JA, Zimmermann BG; TRACERx consortium; PEACE consortium; Swanton C. Abbosh C, et al. Nature. 2017 Apr 26;545(7655):446-451. doi: 10.1038/nature22364. Nature. 2017. PMID: 28445469 Free PMC article.
Here we use a tumour-specific phylogenetic approach to profile the ctDNA of the first 100 TRACERx (Tracking Non-Small-Cell Lung Cancer Evolution Through Therapy (Rx)) study participants, including one patient who was also recruited to the PEACE (Posthumous Evaluatio …
Here we use a tumour-specific phylogenetic approach to profile the ctDNA of the first 100 TRACERx (Tracking Non-Small-Cell Lun …
Molecular Classification of the PORTEC-3 Trial for High-Risk Endometrial Cancer: Impact on Prognosis and Benefit From Adjuvant Therapy.
León-Castillo A, de Boer SM, Powell ME, Mileshkin LR, Mackay HJ, Leary A, Nijman HW, Singh N, Pollock PM, Bessette P, Fyles A, Haie-Meder C, Smit VTHBM, Edmondson RJ, Putter H, Kitchener HC, Crosbie EJ, de Bruyn M, Nout RA, Horeweg N, Creutzberg CL, Bosse T; TransPORTEC consortium. León-Castillo A, et al. J Clin Oncol. 2020 Oct 10;38(29):3388-3397. doi: 10.1200/JCO.20.00549. Epub 2020 Aug 4. J Clin Oncol. 2020. PMID: 32749941 Free PMC article.
Immunohistochemistry for p53 and mismatch repair (MMR) proteins, and DNA sequencing for POLE exonuclease domain were done to classify tumors as p53 abnormal (p53abn), POLE-ultramutated (POLEmut), MMR-deficient (MMRd), or no specific molecular profile (NSMP). ...CONC …
Immunohistochemistry for p53 and mismatch repair (MMR) proteins, and DNA sequencing for POLE exonuclease domain were done to classify tum …
Proteogenomic Landscape of Breast Cancer Tumorigenesis and Targeted Therapy.
Krug K, Jaehnig EJ, Satpathy S, Blumenberg L, Karpova A, Anurag M, Miles G, Mertins P, Geffen Y, Tang LC, Heiman DI, Cao S, Maruvka YE, Lei JT, Huang C, Kothadia RB, Colaprico A, Birger C, Wang J, Dou Y, Wen B, Shi Z, Liao Y, Wiznerowicz M, Wyczalkowski MA, Chen XS, Kennedy JJ, Paulovich AG, Thiagarajan M, Kinsinger CR, Hiltke T, Boja ES, Mesri M, Robles AI, Rodriguez H, Westbrook TF, Ding L, Getz G, Clauser KR, Fenyö D, Ruggles KV, Zhang B, Mani DR, Carr SA, Ellis MJ, Gillette MA; Clinical Proteomic Tumor Analysis Consortium. Krug K, et al. Cell. 2020 Nov 25;183(5):1436-1456.e31. doi: 10.1016/j.cell.2020.10.036. Epub 2020 Nov 18. Cell. 2020. PMID: 33212010 Free PMC article.
The integration of mass spectrometry-based proteomics with next-generation DNA and RNA sequencing profiles tumors more comprehensively. Here this "proteogenomics" approach was applied to 122 treatment-naive primary breast cancers accrued to preserve post-translation …
The integration of mass spectrometry-based proteomics with next-generation DNA and RNA sequencing profiles tumors more compreh …
Histopathologic and proteogenomic heterogeneity reveals features of clear cell renal cell carcinoma aggressiveness.
Li Y, Lih TM, Dhanasekaran SM, Mannan R, Chen L, Cieslik M, Wu Y, Lu RJ, Clark DJ, Kołodziejczak I, Hong R, Chen S, Zhao Y, Chugh S, Caravan W, Naser Al Deen N, Hosseini N, Newton CJ, Krug K, Xu Y, Cho KC, Hu Y, Zhang Y, Kumar-Sinha C, Ma W, Calinawan A, Wyczalkowski MA, Wendl MC, Wang Y, Guo S, Zhang C, Le A, Dagar A, Hopkins A, Cho H, Leprevost FDV, Jing X, Teo GC, Liu W, Reimers MA, Pachynski R, Lazar AJ, Chinnaiyan AM, Van Tine BA, Zhang B, Rodland KD, Getz G, Mani DR, Wang P, Chen F, Hostetter G, Thiagarajan M, Linehan WM, Fenyö D, Jewell SD, Omenn GS, Mehra R, Wiznerowicz M, Robles AI, Mesri M, Hiltke T, An E, Rodriguez H, Chan DW, Ricketts CJ, Nesvizhskii AI, Zhang H, Ding L; Clinical Proteomic Tumor Analysis Consortium. Li Y, et al. Cancer Cell. 2023 Jan 9;41(1):139-163.e17. doi: 10.1016/j.ccell.2022.12.001. Epub 2022 Dec 22. Cancer Cell. 2023. PMID: 36563681 Free PMC article.
Inter- and intratumoral heterogeneity (ITH) results in varying prognosis and treatment outcomes. To obtain the most comprehensive profile of ccRCC, we perform integrative histopathologic, proteogenomic, and metabolomic analyses on 305 ccRCC tumor segments and 166 pa …
Inter- and intratumoral heterogeneity (ITH) results in varying prognosis and treatment outcomes. To obtain the most comprehensive profile …
Pan-cancer proteogenomics connects oncogenic drivers to functional states.
Li Y, Porta-Pardo E, Tokheim C, Bailey MH, Yaron TM, Stathias V, Geffen Y, Imbach KJ, Cao S, Anand S, Akiyama Y, Liu W, Wyczalkowski MA, Song Y, Storrs EP, Wendl MC, Zhang W, Sibai M, Ruiz-Serra V, Liang WW, Terekhanova NV, Rodrigues FM, Clauser KR, Heiman DI, Zhang Q, Aguet F, Calinawan AP, Dhanasekaran SM, Birger C, Satpathy S, Zhou DC, Wang LB, Baral J, Johnson JL, Huntsman EM, Pugliese P, Colaprico A, Iavarone A, Chheda MG, Ricketts CJ, Fenyö D, Payne SH, Rodriguez H, Robles AI, Gillette MA, Kumar-Sinha C, Lazar AJ, Cantley LC, Getz G, Ding L; Clinical Proteomic Tumor Analysis Consortium. Li Y, et al. Cell. 2023 Aug 31;186(18):3921-3944.e25. doi: 10.1016/j.cell.2023.07.014. Epub 2023 Aug 14. Cell. 2023. PMID: 37582357 Free article.
Salient observations include the association of point mutations and copy-number alterations with the rewiring of protein interaction networks, and notably, most cancer genes converge toward similar molecular states denoted by sequence-based kinase activity profiles. A corr …
Salient observations include the association of point mutations and copy-number alterations with the rewiring of protein interaction network …
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, Calinawan A, Whiteaker JR, Colaprico A, Stathias V, Omelchenko T, Song X, Raman P, Guo Y, Brown MA, Ivey RG, Szpyt J, Guha Thakurta S, Gritsenko MA, Weitz KK, Lopez G, Kalayci S, Gümüş ZH, Yoo S, da Veiga Leprevost F, Chang HY, Krug K, Katsnelson L, Wang Y, Kennedy JJ, Voytovich UJ, Zhao L, Gaonkar KS, Ennis BM, Zhang B, Baubet V, Tauhid L, Lilly JV, Mason JL, Farrow B, Young N, Leary S, Moon J, Petyuk VA, Nazarian J, Adappa ND, Palmer JN, Lober RM, Rivero-Hinojosa S, Wang LB, Wang JM, Broberg M, Chu RK, Moore RJ, Monroe ME, Zhao R, Smith RD, Zhu J, Robles AI, Mesri M, Boja E, Hiltke T, Rodriguez H, Zhang B, Schadt EE, Mani DR, Ding L, Iavarone A, Wiznerowicz M, Schürer S, Chen XS, Heath AP, Rokita JL, Nesvizhskii AI, Fenyö D, Rodland KD, Liu T, Gygi SP, Paulovich AG, Resnick AC, Storm PB, Rood BR, Wang P; Children’s Brain Tumor Network; Clinical Proteomic Tumor Analysis Consortium. Petralia F, et al. Cell. 2020 Dec 23;183(7):1962-1985.e31. doi: 10.1016/j.cell.2020.10.044. Epub 2020 Nov 25. Cell. 2020. PMID: 33242424 Free PMC article.
We report a comprehensive proteogenomics analysis, including whole-genome sequencing, RNA sequencing, and proteomics and phosphoproteomics profiling, of 218 tumors across 7 histological types of childhood brain cancer: low-grade glioma (n = 93), ependymoma (32), hig …
We report a comprehensive proteogenomics analysis, including whole-genome sequencing, RNA sequencing, and proteomics and phosphoproteomics …
293 results