Comprehensive Analysis of Ligand-receptor Interactions in Colon Adenocarcinoma to Identify of Tumor Microenvironment Oxidative Stress and Prognosis Model


Дәйексөз келтіру

Толық мәтін

Аннотация

Background:Single-cell technology enables a deep study on the mechanism of cancers. This work delineated the function of ligand-receptor interaction in colon adenocarcinoma (COAD), and developed a LR pairs-based prognostic model.

Methods:For identifying important LR pairs, Single-cell RNA sequencing data of COAD was included. Unsupervised consensus clustering constructed molecular subtypes. LASSO established a prognostic model. Infiltration of 22 immune cells was evaluated by Cibersort. Enrichment score of oxidative stress related pathways was determined by SsGSEA in each patient.

Results:Forty-seven LR pairs were closely associated with the prognosis of COAD. Three molecular subtypes were differentiated according to 47 LR pairs, which displayed differential clinical features and molecular features. There were significant differences in immune T cell lytic activity among different subtypes. In clust1 with poor prognosis, significantly enriched oncogenic pathways were found, especially epithelial-mesenchymal transition (EMT). Additionally, it has been found that clust3 had significantly higher immune infiltration. A prognostic model containing eight LR pairs (PDGFB-PDGFRA, FLT4-VEGFC, CSF1R-CSF1, DLL1-NOTCH4, PDGFB-LRP1, DLL1- NOTCH3, FLT4-PDGFC, and NRP2-PGF) was established, which could effectively divide samples into low-risk and high-risk groups. Significantly higher oxidative stress was found among high-risk patients.

Conclusion:This study integrated expression data and single-cell data for demonstrating the effectiveness of LR pairs in establishing the prognostic model and constructing molecular subtypes. Prognostic LR pairs may contribute to tumorigenesis and progression in COAD. The prognostic model was the potential for predicting prognosis and guiding immunotherapy for COAD patients.

Авторлар туралы

Jun Hu

Key Laboratory of Cancer Prevention and Therapy of Tianjin, Department of Colorectal Cancer Surgery, National Clinical Research Center for Cancer, Tianjin’s Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital

Email: info@benthamscience.net

Wenbo Zhu

Key Laboratory of Cancer Prevention and Therapy of Tianjin, Department of Pancreatic Cancer Surgery, National Clinical Research Center for Cancer, Tianjin’s Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital

Email: info@benthamscience.net

Wenpeng Wang

Key Laboratory of Cancer Prevention and Therapy of Tianjin, Department of Colorectal Cancer Surgery, National Clinical Research Center for Cancer, Tianjin’s Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital

Email: info@benthamscience.net

Xin Yue

Key Laboratory of Cancer Prevention and Therapy of Tianjin, Department of Colorectal Cancer Surgery, National Clinical Research Center for Cancer, Tianjin’s Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital

Email: info@benthamscience.net

Peng Zhao

Key Laboratory of Cancer Prevention and Therapy of Tianjin, Department of Colorectal Cancer Surgery, National Clinical Research Center for Cancer, Tianjin’s Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital

Email: info@benthamscience.net

Dalu Kong

Key Laboratory of Cancer Prevention and Therapy of Tianjin, Department of Colorectal Cancer Surgery, National Clinical Research Center for Cancer, Tianjin’s Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital

Хат алмасуға жауапты Автор.
Email: info@benthamscience.net

Әдебиет тізімі

  1. Zhang, H.; Akman, H.O.; Smith, E.L.P.; Zhao, J.; Murphy-Ullrich, J.E.; Batuman, O.A. Cellular response to hypoxia involves signaling via Smad proteins. Blood, 2003, 101(6), 2253-2260. doi: 10.1182/blood-2002-02-0629 PMID: 12411310
  2. Sung, H.; Ferlay, J.; Siegel, R.L.; Laversanne, M.; Soerjomataram, I.; Jemal, A.; Bray, F. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin., 2021, 71(3), 209-249. doi: 10.3322/caac.21660 PMID: 33538338
  3. Ulanja, M.B.; Rishi, M.; Beutler, B.D.; Sharma, M.; Patterson, D.R.; Gullapalli, N.; Ambika, S. Colon cancer sidedness, presentation, and survival at different stages. J. Oncol., 2019, 2019, 1-12. doi: 10.1155/2019/4315032 PMID: 30915121
  4. Ahmed, M. Colon cancer: A clinician’s perspective in 2019. Gastroenterol. Res., 2020, 13(1), 1-10. doi: 10.14740/gr1239 PMID: 32095167
  5. Esfahani, K.; Roudaia, L.; Buhlaiga, N.; Del Rincon, S.V.; Papneja, N.; Miller, W.H., J.r. A review of cancer immunotherapy: From the past, to the present, to the future. Curr. Oncol., 2020, 27(12)(Suppl. 2), 87-97. doi: 10.3747/co.27.5223 PMID: 32368178
  6. Overman, M.J.; McDermott, R.; Leach, J.L.; Lonardi, S.; Lenz, H.J.; Morse, M.A.; Desai, J.; Hill, A.; Axelson, M.; Moss, R.A.; Goldberg, M.V.; Cao, Z.A.; Ledeine, J.M.; Maglinte, G.A.; Kopetz, S.; André, T. Nivolumab in patients with metastatic DNA mismatch repair-deficient or microsatellite instability-high colorectal cancer (CheckMate 142): An open-label, multicentre, phase 2 study. Lancet Oncol., 2017, 18(9), 1182-1191. doi: 10.1016/S1470-2045(17)30422-9 PMID: 28734759
  7. Le, D.T.; Durham, J.N.; Smith, K.N.; Wang, H.; Bartlett, B.R.; Aulakh, L.K.; Lu, S.; Kemberling, H.; Wilt, C.; Luber, B.S.; Wong, F.; Azad, N.S.; Rucki, A.A.; Laheru, D.; Donehower, R.; Zaheer, A.; Fisher, G.A.; Crocenzi, T.S.; Lee, J.J.; Greten, T.F.; Duffy, A.G.; Ciombor, K.K.; Eyring, A.D.; Lam, B.H.; Joe, A.; Kang, S.P.; Holdhoff, M.; Danilova, L.; Cope, L.; Meyer, C.; Zhou, S.; Goldberg, R.M.; Armstrong, D.K.; Bever, K.M.; Fader, A.N.; Taube, J.; Housseau, F.; Spetzler, D.; Xiao, N.; Pardoll, D.M.; Papadopoulos, N.; Kinzler, K.W.; Eshleman, J.R.; Vogelstein, B.; Anders, R.A.; Diaz, L.A., Jr Mismatch repair deficiency predicts response of solid tumors to PD-1 blockade. Science, 2017, 357(6349), 409-413. doi: 10.1126/science.aan6733 PMID: 28596308
  8. Frankel, T.; Lanfranca, M.P.; Zou, W. The role of tumor microenvironment in cancer immunotherapy. Adv. Exp. Med. Biol., 2017, 1036, 51-64. doi: 10.1007/978-3-319-67577-0_4 PMID: 29275464
  9. Greten, F.R.; Grivennikov, S.I. Inflammation and cancer: Triggers, mechanisms, and consequences. Immunity, 2019, 51(1), 27-41. doi: 10.1016/j.immuni.2019.06.025 PMID: 31315034
  10. Whiteside, T.L. The tumor microenvironment and its role in promoting tumor growth. Oncogene, 2008, 27(45), 5904-5912. doi: 10.1038/onc.2008.271 PMID: 18836471
  11. Jahanafrooz, Z.; Mosafer, J.; Akbari, M.; Hashemzaei, M.; Mokhtarzadeh, A.; Baradaran, B. Colon cancer therapy by focusing on colon cancer stem cells and their tumor microenvironment. J. Cell. Physiol., 2020, 235(5), 4153-4166. doi: 10.1002/jcp.29337 PMID: 31647128
  12. Schmitt, M.; Greten, F.R. The inflammatory pathogenesis of colorectal cancer. Nat. Rev. Immunol., 2021, 21(10), 653-667. doi: 10.1038/s41577-021-00534-x PMID: 33911231
  13. Maia, J.; Caja, S.; Strano Moraes, M.C.; Couto, N.; Costa-Silva, B. Exosome-based cell-cell communication in the tumor microenvironment. Front. Cell Dev. Biol., 2018, 6, 18. doi: 10.3389/fcell.2018.00018 PMID: 29515996
  14. Chen, Z.; Yang, X.; Bi, G.; Liang, J.; Hu, Z.; Zhao, M.; Li, M.; Lu, T.; Zheng, Y.; Sui, Q.; Yang, Y.; Zhan, C.; Jiang, W.; Wang, Q.; Tan, L. Ligand-receptor interaction atlas within and between tumor cells and T cells in lung adenocarcinoma. Int. J. Biol. Sci., 2020, 16(12), 2205-2219. doi: 10.7150/ijbs.42080 PMID: 32549766
  15. Liu, F.; Wang, P.; Sun, W.; Jiang, Y.; Gong, Q. Identification of ligand-receptor pairs associated with tumour characteristics in clear cell renal cell carcinoma. Front. Immunol., 2022, 13, 874056. doi: 10.3389/fimmu.2022.874056 PMID: 35734169
  16. Zhang, Y.; Cedervall, J.; Hamidi, A.; Herre, M.; Viitaniemi, K.; D’Amico, G.; Miao, Z.; Unnithan, R.V.M.; Vaccaro, A.; van Hooren, L.; Georganaki, M.; Thulin, Å.; Qiao, Q.; Andrae, J.; Siegbahn, A.; Heldin, C.H.; Alitalo, K.; Betsholtz, C.; Dimberg, A.; Olsson, A.K. Platelet-specific PDGFB ablation impairs tumor vessel integrity and promotes metastasis. Cancer Res., 2020, 80(16), 3345-3358. doi: 10.1158/0008-5472.CAN-19-3533 PMID: 32586981
  17. Gribov, A.; Sill, M.; Lück, S.; Rücker, F.; Döhner, K.; Bullinger, L.; Benner, A.; Unwin, A. SEURAT: Visual analytics for the integrated analysis of microarray data. BMC Med. Genomics, 2010, 3(1), 21. doi: 10.1186/1755-8794-3-21 PMID: 20525257
  18. Ooki, A.; Osumi, H.; Chin, K.; Watanabe, M.; Yamaguchi, K. Potent molecular-targeted therapies for advanced esophageal squamous cell carcinoma. Ther. Adv. Med. Oncol., 2023, 15, 17588359221138377. doi: 10.1177/17588359221138377 PMID: 36872946
  19. Efremova, M.; Vento-Tormo, M.; Teichmann, S.A.; Vento-Tormo, R. CellPhoneDB: Inferring cell–cell communication from combined expression of multi-subunit ligand–receptor complexes. Nat. Protoc., 2020, 15(4), 1484-1506. doi: 10.1038/s41596-020-0292-x PMID: 32103204
  20. Wilkerson, M.D.; Hayes, D.N. ConsensusClusterPlus: A class discovery tool with confidence assessments and item tracking. Bioinformatics, 2010, 26(12), 1572-1573. doi: 10.1093/bioinformatics/btq170 PMID: 20427518
  21. Subramanian, A.; Tamayo, P.; Mootha, V.K.; Mukherjee, S.; Ebert, B.L.; Gillette, M.A.; Paulovich, A.; Pomeroy, S.L.; Golub, T.R.; Lander, E.S.; Mesirov, J.P. Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles. Proc. Natl. Acad. Sci. USA, 2005, 102(43), 15545-15550. doi: 10.1073/pnas.0506580102 PMID: 16199517
  22. Chen, B.; Khodadoust, M.S.; Liu, C.L.; Newman, A.M.; Alizadeh, A.A. Profiling tumor infiltrating immune cells with CIBERSORT. Methods Mol. Biol., 2018, 1711, 243-259. doi: 10.1007/978-1-4939-7493-1_12 PMID: 29344893
  23. Yoshihara, K.; Shahmoradgoli, M.; Martínez, E.; Vegesna, R.; Kim, H.; Torres-Garcia, W.; Treviño, V.; Shen, H.; Laird, P.W.; Levine, D.A.; Carter, S.L.; Getz, G.; Stemke-Hale, K.; Mills, G.B.; Verhaak, R.G.W. Inferring tumour purity and stromal and immune cell admixture from expression data. Nat. Commun., 2013, 4(1), 2612. doi: 10.1038/ncomms3612 PMID: 24113773
  24. Friedman, J.; Hastie, T.; Tibshirani, R. Regularization paths for generalized linear models via coordinate descent. J. Stat. Softw., 2010, 33(1), 1-22. doi: 10.18637/jss.v033.i01 PMID: 20808728
  25. Blanche, P.; Dartigues, J.F.; Jacqmin-Gadda, H. Estimating and comparing time-dependent areas under receiver operating characteristic curves for censored event times with competing risks. Stat. Med., 2013, 32(30), 5381-5397. doi: 10.1002/sim.5958 PMID: 24027076
  26. Thorsson, V.; Gibbs, D.L.; Brown, S.D.; Wolf, D.; Bortone, D.S.; Ou Yang, T.H.; Porta-Pardo, E.; Gao, G.F.; Plaisier, C.L.; Eddy, J.A.; Ziv, E.; Culhane, A.C.; Paull, E.O.; Sivakumar, I.K.A.; Gentles, A.J.; Malhotra, R.; Farshidfar, F.; Colaprico, A.; Parker, J.S.; Mose, L.E.; Vo, N.S.; Liu, J.; Liu, Y.; Rader, J.; Dhankani, V.; Reynolds, S.M.; Bowlby, R.; Califano, A.; Cherniack, A.D.; Anastassiou, D.; Bedognetti, D.; Mokrab, Y.; Newman, A.M.; Rao, A.; Chen, K.; Krasnitz, A.; Hu, H.; Malta, T.M.; Noushmehr, H.; Pedamallu, C.S.; Bullman, S.; Ojesina, A.I.; Lamb, A.; Zhou, W.; Shen, H.; Choueiri, T.K.; Weinstein, J.N.; Guinney, J.; Saltz, J.; Holt, R.A.; Rabkin, C.S.; Lazar, A.J.; Serody, J.S.; Demicco, E.G.; Disis, M.L.; Vincent, B.G.; Shmulevich, I.; Caesar-Johnson, S.J.; Demchok, J.A.; Felau, I.; Kasapi, M.; Ferguson, M.L.; Hutter, C.M.; Sofia, H.J.; Tarnuzzer, R.; Wang, Z.; Yang, L.; Zenklusen, J.C.; Zhang, J.J.; Chudamani, S.; Liu, J.; Lolla, L.; Naresh, R.; Pihl, T.; Sun, Q.; Wan, Y.; Wu, Y.; Cho, J.; DeFreitas, T.; Frazer, S.; Gehlenborg, N.; Getz, G.; Heiman, D.I.; Kim, J.; Lawrence, M.S.; Lin, P.; Meier, S.; Noble, M.S.; Saksena, G.; Voet, D.; Zhang, H.; Bernard, B.; Chambwe, N.; Dhankani, V.; Knijnenburg, T.; Kramer, R.; Leinonen, K.; Liu, Y.; Miller, M.; Reynolds, S.; Shmulevich, I.; Thorsson, V.; Zhang, W.; Akbani, R.; Broom, B.M.; Hegde, A.M.; Ju, Z.; Kanchi, R.S.; Korkut, A.; Li, J.; Liang, H.; Ling, S.; Liu, W.; Lu, Y.; Mills, G.B.; Ng, K-S.; Rao, A.; Ryan, M.; Wang, J.; Weinstein, J.N.; Zhang, J.; Abeshouse, A.; Armenia, J.; Chakravarty, D.; Chatila, W.K.; de Bruijn, I.; Gao, J.; Gross, B.E.; Heins, Z.J.; Kundra, R.; La, K.; Ladanyi, M.; Luna, A.; Nissan, M.G.; Ochoa, A.; Phillips, S.M.; Reznik, E.; Sanchez-Vega, F.; Sander, C.; Schultz, N.; Sheridan, R.; Sumer, S.O.; Sun, Y.; Taylor, B.S.; Wang, J.; Zhang, H.; Anur, P.; Peto, M.; Spellman, P.; Benz, C.; Stuart, J.M.; Wong, C.K.; Yau, C.; Hayes, D.N.; Parker, J.S.; Wilkerson, M.D.; Ally, A.; Balasundaram, M.; Bowlby, R.; Brooks, D.; Carlsen, R.; Chuah, E.; Dhalla, N.; Holt, R.; Jones, S.J.M.; Kasaian, K.; Lee, D.; Ma, Y.; Marra, M.A.; Mayo, M.; Moore, R.A.; Mungall, A.J.; Mungall, K.; Robertson, A.G.; Sadeghi, S.; Schein, J.E.; Sipahimalani, P.; Tam, A.; Thiessen, N.; Tse, K.; Wong, T.; Berger, A.C.; Beroukhim, R.; Cherniack, A.D.; Cibulskis, C.; Gabriel, S.B.; Gao, G.F.; Ha, G.; Meyerson, M.; Schumacher, S.E.; Shih, J.; Kucherlapati, M.H.; Kucherlapati, R.S.; Baylin, S.; Cope, L.; Danilova, L.; Bootwalla, M.S.; Lai, P.H.; Maglinte, D.T.; Van Den Berg, D.J.; Weisenberger, D.J.; Auman, J.T.; Balu, S.; Bodenheimer, T.; Fan, C.; Hoadley, K.A.; Hoyle, A.P.; Jefferys, S.R.; Jones, C.D.; Meng, S.; Mieczkowski, P.A.; Mose, L.E.; Perou, A.H.; Perou, C.M.; Roach, J.; Shi, Y.; Simons, J.V.; Skelly, T.; Soloway, M.G.; Tan, D.; Veluvolu, U.; Fan, H.; Hinoue, T.; Laird, P.W.; Shen, H.; Zhou, W.; Bellair, M.; Chang, K.; Covington, K.; Creighton, C.J.; Dinh, H.; Doddapaneni, H.V.; Donehower, L.A.; Drummond, J.; Gibbs, R.A.; Glenn, R.; Hale, W.; Han, Y.; Hu, J.; Korchina, V.; Lee, S.; Lewis, L.; Li, W.; Liu, X.; Morgan, M.; Morton, D.; Muzny, D.; Santibanez, J.; Sheth, M.; Shinbrot, E.; Wang, L.; Wang, M.; Wheeler, D.A.; Xi, L.; Zhao, F.; Hess, J.; Appelbaum, E.L.; Bailey, M.; Cordes, M.G.; Ding, L.; Fronick, C.C.; Fulton, L.A.; Fulton, R.S.; Kandoth, C.; Mardis, E.R.; McLellan, M.D.; Miller, C.A.; Schmidt, H.K.; Wilson, R.K.; Crain, D.; Curley, E.; Gardner, J.; Lau, K.; Mallery, D.; Morris, S.; Paulauskis, J.; Penny, R.; Shelton, C.; Shelton, T.; Sherman, M.; Thompson, E.; Yena, P.; Bowen, J.; Gastier-Foster, J.M.; Gerken, M.; Leraas, K.M.; Lichtenberg, T.M.; Ramirez, N.C.; Wise, L.; Zmuda, E.; Corcoran, N.; Costello, T.; Hovens, C.; Carvalho, A.L.; de Carvalho, A.C.; Fregnani, J.H.; Longatto-Filho, A.; Reis, R.M.; Scapulatempo-Neto, C.; Silveira, H.C.S.; Vidal, D.O.; Burnette, A.; Eschbacher, J.; Hermes, B.; Noss, A.; Singh, R.; Anderson, M.L.; Castro, P.D.; Ittmann, M.; Huntsman, D.; Kohl, B.; Le, X.; Thorp, R.; Andry, C.; Duffy, E.R.; Lyadov, V.; Paklina, O.; Setdikova, G.; Shabunin, A.; Tavobilov, M.; McPherson, C.; Warnick, R.; Berkowitz, R.; Cramer, D.; Feltmate, C.; Horowitz, N.; Kibel, A.; Muto, M.; Raut, C.P.; Malykh, A.; Barnholtz-Sloan, J.S.; Barrett, W.; Devine, K.; Fulop, J.; Ostrom, Q.T.; Shimmel, K.; Wolinsky, Y.; Sloan, A.E.; De Rose, A.; Giuliante, F.; Goodman, M.; Karlan, B.Y.; Hagedorn, C.H.; Eckman, J.; Harr, J.; Myers, J.; Tucker, K.; Zach, L.A.; Deyarmin, B.; Hu, H.; Kvecher, L.; Larson, C.; Mural, R.J.; Somiari, S.; Vicha, A.; Zelinka, T.; Bennett, J.; Iacocca, M.; Rabeno, B.; Swanson, P.; Latour, M.; Lacombe, L.; Têtu, B.; Bergeron, A.; McGraw, M.; Staugaitis, S.M.; Chabot, J.; Hibshoosh, H.; Sepulveda, A.; Su, T.; Wang, T.; Potapova, O.; Voronina, O.; Desjardins, L.; Mariani, O.; Roman-Roman, S.; Sastre, X.; Stern, M-H.; Cheng, F.; Signoretti, S.; Berchuck, A.; Bigner, D.; Lipp, E.; Marks, J.; McCall, S.; McLendon, R.; Secord, A.; Sharp, A.; Behera, M.; Brat, D.J.; Chen, A.; Delman, K.; Force, S.; Khuri, F.; Magliocca, K.; Maithel, S.; Olson, J.J.; Owonikoko, T.; Pickens, A.; Ramalingam, S.; Shin, D.M.; Sica, G.; Van Meir, E.G.; Zhang, H.; Eijckenboom, W.; Gillis, A.; Korpershoek, E.; Looijenga, L.; Oosterhuis, W.; Stoop, H.; van Kessel, K.E.; Zwarthoff, E.C.; Calatozzolo, C.; Cuppini, L.; Cuzzubbo, S.; DiMeco, F.; Finocchiaro, G.; Mattei, L.; Perin, A.; Pollo, B.; Chen, C.; Houck, J.; Lohavanichbutr, P.; Hartmann, A.; Stoehr, C.; Stoehr, R.; Taubert, H.; Wach, S.; Wullich, B.; Kycler, W.; Murawa, D.; Wiznerowicz, M.; Chung, K.; Edenfield, W.J.; Martin, J.; Baudin, E.; Bubley, G.; Bueno, R.; De Rienzo, A.; Richards, W.G.; Kalkanis, S.; Mikkelsen, T.; Noushmehr, H.; Scarpace, L.; Girard, N.; Aymerich, M.; Campo, E.; Giné, E.; Guillermo, A.L.; Van Bang, N.; Hanh, P.T.; Phu, B.D.; Tang, Y.; Colman, H.; Evason, K.; Dottino, P.R.; Martignetti, J.A.; Gabra, H.; Juhl, H.; Akeredolu, T.; Stepa, S.; Hoon, D.; Ahn, K.; Kang, K.J.; Beuschlein, F.; Breggia, A.; Birrer, M.; Bell, D.; Borad, M.; Bryce, A.H.; Castle, E.; Chandan, V.; Cheville, J.; Copland, J.A.; Farnell, M.; Flotte, T.; Giama, N.; Ho, T.; Kendrick, M.; Kocher, J-P.; Kopp, K.; Moser, C.; Nagorney, D.; O’Brien, D.; O’Neill, B.P.; Patel, T.; Petersen, G.; Que, F.; Rivera, M.; Roberts, L.; Smallridge, R.; Smyrk, T.; Stanton, M.; Thompson, R.H.; Torbenson, M.; Yang, J.D.; Zhang, L.; Brimo, F.; Ajani, J.A.; Gonzalez, A.M.A.; Behrens, C.; Bondaruk, J.; Broaddus, R.; Czerniak, B.; Esmaeli, B.; Fujimoto, J.; Gershenwald, J.; Guo, C.; Lazar, A.J.; Logothetis, C.; Meric-Bernstam, F.; Moran, C.; Ramondetta, L.; Rice, D.; Sood, A.; Tamboli, P.; Thompson, T.; Troncoso, P.; Tsao, A.; Wistuba, I.; Carter, C.; Haydu, L.; Hersey, P.; Jakrot, V.; Kakavand, H.; Kefford, R.; Lee, K.; Long, G.; Mann, G.; Quinn, M.; Saw, R.; Scolyer, R.; Shannon, K.; Spillane, A.; Stretch; Synott, M.; Thompson, J.; Wilmott, J.; Al-Ahmadie, H.; Chan, T.A.; Ghossein, R.; Gopalan, A.; Levine, D.A.; Reuter, V.; Singer, S.; Singh, B.; Tien, N.V.; Broudy, T.; Mirsaidi, C.; Nair, P.; Drwiega, P.; Miller, J.; Smith, J.; Zaren, H.; Park, J-W.; Hung, N.P.; Kebebew, E.; Linehan, W.M.; Metwalli, A.R.; Pacak, K.; Pinto, P.A.; Schiffman, M.; Schmidt, L.S.; Vocke, C.D.; Wentzensen, N.; Worrell, R.; Yang, H.; Moncrieff, M.; Goparaju, C.; Melamed, J.; Pass, H.; Botnariuc, N.; Caraman, I.; Cernat, M.; Chemencedji, I.; Clipca, A.; Doruc, S.; Gorincioi, G.; Mura, S.; Pirtac, M.; Stancul, I.; Tcaciuc, D.; Albert, M.; Alexopoulou, I.; Arnaout, A.; Bartlett, J.; Engel, J.; Gilbert, S.; Parfitt, J.; Sekhon, H.; Thomas, G.; Rassl, D.M.; Rintoul, R.C.; Bifulco, C.; Tamakawa, R.; Urba, W.; Hayward, N.; Timmers, H.; Antenucci, A.; Facciolo, F.; Grazi, G.; Marino, M.; Merola, R.; de Krijger, R.; Gimenez-Roqueplo, A-P.; Piché, A.; Chevalier, S.; McKercher, G.; Birsoy, K.; Barnett, G.; Brewer, C.; Farver, C.; Naska, T.; Pennell, N.A.; Raymond, D.; Schilero, C.; Smolenski, K.; Williams, F.; Morrison, C.; Borgia, J.A.; Liptay, M.J.; Pool, M.; Seder, C.W.; Junker, K.; Omberg, L.; Dinkin, M.; Manikhas, G.; Alvaro, D.; Bragazzi, M.C.; Cardinale, V.; Carpino, G.; Gaudio, E.; Chesla, D.; Cottingham, S.; Dubina, M.; Moiseenko, F.; Dhanasekaran, R.; Becker, K-F.; Janssen, K-P.; Slotta-Huspenina, J.; Abdel-Rahman, M.H.; Aziz, D.; Bell, S.; Cebulla, C.M.; Davis, A.; Duell, R.; Elder, J.B.; Hilty, J.; Kumar, B.; Lang, J.; Lehman, N.L.; Mandt, R.; Nguyen, P.; Pilarski, R.; Rai, K.; Schoenfield, L.; Senecal, K.; Wakely, P.; Hansen, P.; Lechan, R.; Powers, J.; Tischler, A.; Grizzle, W.E.; Sexton, K.C.; Kastl, A.; Henderson, J.; Porten, S.; Waldmann, J.; Fassnacht, M.; Asa, S.L.; Schadendorf, D.; Couce, M.; Graefen, M.; Huland, H.; Sauter, G.; Schlomm, T.; Simon, R.; Tennstedt, P.; Olabode, O.; Nelson, M.; Bathe, O.; Carroll, P.R.; Chan, J.M.; Disaia, P.; Glenn, P.; Kelley, R.K.; Landen, C.N.; Phillips, J.; Prados, M.; Simko, J.; Smith-McCune, K.; VandenBerg, S.; Roggin, K.; Fehrenbach, A.; Kendler, A.; Sifri, S.; Steele, R.; Jimeno, A.; Carey, F.; Forgie, I.; Mannelli, M.; Carney, M.; Hernandez, B.; Campos, B.; Herold-Mende, C.; Jungk, C.; Unterberg, A.; von Deimling, A.; Bossler, A.; Galbraith, J.; Jacobus, L.; Knudson, M.; Knutson, T.; Ma, D.; Milhem, M.; Sigmund, R.; Godwin, A.K.; Madan, R.; Rosenthal, H.G.; Adebamowo, C.; Adebamowo, S.N.; Boussioutas, A.; Beer, D.; Giordano, T.; Mes-Masson, A-M.; Saad, F.; Bocklage, T.; Landrum, L.; Mannel, R.; Moore, K.; Moxley, K.; Postier, R.; Walker, J.; Zuna, R.; Feldman, M.; Valdivieso, F.; Dhir, R.; Luketich, J.; Pinero, E.M.M.; Quintero-Aguilo, M.; Carlotti, C.G., Jr; Dos Santos, J.S.; Kemp, R.; Sankarankuty, A.; Tirapelli, D.; Catto, J.; Agnew, K.; Swisher, E.; Creaney, J.; Robinson, B.; Shelley, C.S.; Godwin, E.M.; Kendall, S.; Shipman, C.; Bradford, C.; Carey, T.; Haddad, A.; Moyer, J.; Peterson, L.; Prince, M.; Rozek, L.; Wolf, G.; Bowman, R.; Fong, K.M.; Yang, I.; Korst, R.; Rathmell, W.K.; Fantacone-Campbell, J.L.; Hooke, J.A.; Kovatich, A.J.; Shriver, C.D.; DiPersio, J.; Drake, B.; Govindan, R.; Heath, S.; Ley, T.; Van Tine, B.; Westervelt, P.; Rubin, M.A.; Lee, J.I.; Aredes, N.D.; Mariamidze, A. The immune landscape of cancer. Immunity, 2018, 48(4), 812-830.e14. doi: 10.1016/j.immuni.2018.03.023 PMID: 29628290
  27. Danilova, L.; Ho, W.J.; Zhu, Q.; Vithayathil, T.; De Jesus-Acosta, A.; Azad, N.S.; Laheru, D.A.; Fertig, E.J.; Anders, R.; Jaffee, E.M.; Yarchoan, M. Programmed cell death ligand-1 (PD-L1) and CD8 expression profiling identify an immunologic subtype of pancreatic ductal adenocarcinomas with favorable survival. Cancer Immunol. Res., 2019, 7(6), 886-895. doi: 10.1158/2326-6066.CIR-18-0822 PMID: 31043417
  28. Rooney, M.S.; Shukla, S.A.; Wu, C.J.; Getz, G.; Hacohen, N. Molecular and genetic properties of tumors associated with local immune cytolytic activity. Cell, 2015, 160(1-2), 48-61. doi: 10.1016/j.cell.2014.12.033 PMID: 25594174
  29. Masiero, M.; Simões, F.C.; Han, H.D.; Snell, C.; Peterkin, T.; Bridges, E.; Mangala, L.S.; Wu, S.Y.Y.; Pradeep, S.; Li, D.; Han, C.; Dalton, H.; Lopez-Berestein, G.; Tuynman, J.B.; Mortensen, N.; Li, J.L.; Patient, R.; Sood, A.K.; Banham, A.H.; Harris, A.L.; Buffa, F.M. A core human primary tumor angiogenesis signature identifies the endothelial orphan receptor ELTD1 as a key regulator of angiogenesis. Cancer Cell, 2013, 24(2), 229-241. doi: 10.1016/j.ccr.2013.06.004 PMID: 23871637
  30. Balar, A.V.; Galsky, M.D.; Rosenberg, J.E.; Powles, T.; Petrylak, D.P.; Bellmunt, J.; Loriot, Y.; Necchi, A.; Hoffman-Censits, J.; Perez-Gracia, J.L.; Dawson, N.A.; van der Heijden, M.S.; Dreicer, R.; Srinivas, S.; Retz, M.M.; Joseph, R.W.; Drakaki, A.; Vaishampayan, U.N.; Sridhar, S.S.; Quinn, D.I.; Durán, I.; Shaffer, D.R.; Eigl, B.J.; Grivas, P.D.; Yu, E.Y.; Li, S.; Kadel, E.E., III; Boyd, Z.; Bourgon, R.; Hegde, P.S.; Mariathasan, S.; Thåström, A.; Abidoye, O.O.; Fine, G.D.; Bajorin, D.F. Atezolizumab as first-line treatment in cisplatin-ineligible patients with locally advanced and metastatic urothelial carcinoma: A single-arm, multicentre, phase 2 trial. Lancet, 2017, 389(10064), 67-76. doi: 10.1016/S0140-6736(16)32455-2 PMID: 27939400
  31. Hugo, W.; Zaretsky, J.M.; Sun, L.; Song, C.; Moreno, B.H.; Hu-Lieskovan, S.; Berent-Maoz, B.; Pang, J.; Chmielowski, B.; Cherry, G.; Seja, E.; Lomeli, S.; Kong, X.; Kelley, M.C.; Sosman, J.A.; Johnson, D.B.; Ribas, A.; Lo, R.S. Genomic and transcriptomic features of response to anti-PD-1 therapy in metastatic melanoma. Cell, 2016, 165(1), 35-44. doi: 10.1016/j.cell.2016.02.065 PMID: 26997480
  32. Wu, W.; Dong, J.; Lv, Y.; Chang, D. Cuproptosis-Related genes in the prognosis of colorectal cancer and their correlation with the tumor microenvironment. Front. Genet., 2022, 13, 984158. doi: 10.3389/fgene.2022.984158 PMID: 36246586
  33. Yang, Y.; Feng, M.; Bai, L.; Liao, W.; Zhou, K.; Zhang, M.; Wu, Q.; Wen, F.; Lei, W.; Zhang, P.; Zhang, N.; Huang, J.; Li, Q. Comprehensive analysis of EMT-related genes and lncRNAs in the prognosis, immunity, and drug treatment of colorectal cancer. J. Transl. Med., 2021, 19(1), 391. doi: 10.1186/s12967-021-03065-0 PMID: 34526059
  34. Dai, J.J.; Fu, Y.Y.; Zhong, X.Q.; Cen, W.; Ye, M.F.; Chen, X.H.; Pan, Y.F.; Ye, L.C. Identification of senescence-related subtypes, the development of a prognosis model, and characterization of immune infiltration and gut microbiota in colorectal cancer. Front. Med., 2022, 9, 916565. doi: 10.3389/fmed.2022.916565 PMID: 35721059
  35. Tong, Z.; Wang, X.; Shi, S.; Hou, T.; Gao, G.; Li, D.; Shan, Y.; Zhang, C. Development of lactate-related gene signature and prediction of overall survival and chemosensitivity in patients with colorectal cancer. Cancer Med., 2023, 12(8), 10105-10122. doi: 10.1002/cam4.5682 PMID: 36776001
  36. Buechler, M.B.; Fu, W.; Turley, S.J. Fibroblast-macrophage reciprocal interactions in health, fibrosis, and cancer. Immunity, 2021, 54(5), 903-915. doi: 10.1016/j.immuni.2021.04.021 PMID: 33979587
  37. Cai, H.; Zhang, Y.; Wang, J.; Gu, J. Defects in macrophage reprogramming in cancer therapy: The negative impact of PD-L1/PD-1. Front. Immunol., 2021, 12, 690869. doi: 10.3389/fimmu.2021.690869 PMID: 34248982
  38. Gordon-Weeks, A.N.; Lim, S.Y.; Yuzhalin, A.E.; Jones, K.; Muschel, R. Macrophage migration inhibitory factor: A key cytokine and therapeutic target in colon cancer. Cytokine Growth Factor Rev., 2015, 26(4), 451-461. doi: 10.1016/j.cytogfr.2015.03.002 PMID: 25882738
  39. Nishihira, J.; Ishibashi, T.; Fukushima, T.; Sun, B.; Sato, Y.; Todo, S. Macrophage migration inhibitory factor (MIF): Its potential role in tumor growth and tumor-associated angiogenesis. Ann. N. Y. Acad. Sci., 2003, 995(1), 171-182. doi: 10.1111/j.1749-6632.2003.tb03220.x PMID: 12814949
  40. Dongre, A.; Weinberg, R.A. New insights into the mechanisms of epithelial–mesenchymal transition and implications for cancer. Nat. Rev. Mol. Cell Biol., 2019, 20(2), 69-84. doi: 10.1038/s41580-018-0080-4 PMID: 30459476
  41. Ortmann, B.; Druker, J.; Rocha, S. Cell cycle progression in response to oxygen levels. Cell. Mol. Life Sci., 2014, 71(18), 3569-3582. doi: 10.1007/s00018-014-1645-9 PMID: 24858415
  42. Tam, S.Y.; Wu, V.W.C.; Law, H.K.W. Hypoxia-induced epithelial-mesenchymal transition in cancers: HIF-1α and beyond. Front. Oncol., 2020, 10, 486. doi: 10.3389/fonc.2020.00486 PMID: 32322559
  43. Li, Y.; Patel, S.P.; Roszik, J.; Qin, Y. Hypoxia-driven immunosuppressive metabolites in the tumor microenvironment: New approaches for combinational immunotherapy. Front. Immunol., 2018, 9, 1591. doi: 10.3389/fimmu.2018.01591 PMID: 30061885
  44. Huber, M.A.; Azoitei, N.; Baumann, B.; Grünert, S.; Sommer, A.; Pehamberger, H.; Kraut, N.; Beug, H.; Wirth, T. NF-κB is essential for epithelial-mesenchymal transition and metastasis in a model of breast cancer progression. J. Clin. Invest., 2004, 114(4), 569-581. doi: 10.1172/JCI200421358 PMID: 15314694
  45. Cheng, Z.X.; Sun, B.; Wang, S.J.; Gao, Y.; Zhang, Y.M.; Zhou, H.X.; Jia, G.; Wang, Y.W.; Kong, R.; Pan, S.H.; Xue, D.B.; Jiang, H.C.; Bai, X.W. Nuclear factor-κB-dependent epithelial to mesenchymal transition induced by HIF-1α activation in pancreatic cancer cells under hypoxic conditions. PLoS One, 2011, 6(8), e23752. doi: 10.1371/journal.pone.0023752 PMID: 21887310
  46. Kim, T.W.; Hong, H.K.; Lee, C.; Kim, S.; Lee, W.Y.; Yun, S.H.; Kim, H.C.; Huh, J.W.; Park, Y.A.; Joung, J.G.; Park, W.Y.; Cho, Y.B. The role of PDGFRA as a therapeutic target in young colorectal cancer patients. J. Transl. Med., 2021, 19(1), 446. doi: 10.1186/s12967-021-03088-7 PMID: 34702313
  47. Joukov, V.; Pajusola, K.; Kaipainen, A.; Chilov, D.; Lahtinen, I.; Kukk, E.; Saksela, O.; Kalkkinen, N.; Alitalo, K. A novel vascular endothelial growth factor, VEGF-C, is a ligand for the Flt4 (VEGFR-3) and KDR (VEGFR-2) receptor tyrosine kinases. EMBO J., 1996, 15(2), 290-298. doi: 10.1002/j.1460-2075.1996.tb00359.x PMID: 8617204
  48. Ma, L.; Li, W.; Zhang, Y.; Qi, L.; Zhao, Q.; Li, N.; Lu, Y.; Zhang, L.; Zhou, F.; Wu, Y.; He, Y.; Yu, H.; He, Y.; Wei, B.; Wang, H. FLT4/VEGFR3 activates AMPK to coordinate glycometabolic reprogramming with autophagy and inflammasome activation for bacterial elimination. Autophagy, 2022, 18(6), 1385-1400. doi: 10.1080/15548627.2021.1985338 PMID: 34632918
  49. Khromova, N.; Kopnin, P.; Rybko, V.; Kopnin, B.P. Downregulation of VEGF-C expression in lung and colon cancer cells decelerates tumor growth and inhibits metastasis via multiple mechanisms. Oncogene, 2012, 31(11), 1389-1397. doi: 10.1038/onc.2011.330 PMID: 21804602
  50. Martins, S.F.; Garcia, E.A.; Luz, M.A.; Pardal, F.; Rodrigues, M.; Filho, A.L. Clinicopathological correlation and prognostic significance of VEGF-A, VEGF-C, VEGFR-2 and VEGFR-3 expression in colorectal cancer. Cancer Genomics Proteomics, 2013, 10(2), 55-67. PMID: 23603341
  51. Stanley, E.R.; Chitu, V. CSF-1 receptor signaling in myeloid cells. Cold Spring Harb. Perspect. Biol., 2014, 6(6), a021857. doi: 10.1101/cshperspect.a021857 PMID: 24890514
  52. Cannarile, M.A.; Weisser, M.; Jacob, W.; Jegg, A.M.; Ries, C.H.; Rüttinger, D. Colony-stimulating factor 1 receptor (CSF1R) inhibitors in cancer therapy. J. Immunother. Cancer, 2017, 5(1), 53. doi: 10.1186/s40425-017-0257-y PMID: 28716061
  53. Fischer-Zirnsak, B.; Segebrecht, L.; Schubach, M.; Charles, P.; Alderman, E.; Brown, K.; Cadieux-Dion, M.; Cartwright, T.; Chen, Y.; Costin, C.; Fehr, S.; Fitzgerald, K.M.; Fleming, E.; Foss, K.; Ha, T.; Hildebrand, G.; Horn, D.; Liu, S.; Marco, E.J.; McDonald, M.; McWalter, K.; Race, S.; Rush, E.T.; Si, Y.; Saunders, C.; Slavotinek, A.; Stockler-Ipsiroglu, S.; Telegrafi, A.; Thiffault, I.; Torti, E.; Tsai, A.C.; Wang, X.; Zafar, M.; Keren, B.; Kornak, U.; Boerkoel, C.F.; Mirzaa, G.; Ehmke, N. Haploinsufficiency of the notch ligand DLL1 causes variable neurodevelopmental disorders. Am. J. Hum. Genet., 2019, 105(3), 631-639. doi: 10.1016/j.ajhg.2019.07.002 PMID: 31353024
  54. Varga, J.; Nicolas, A.; Petrocelli, V.; Pesic, M.; Mahmoud, A.; Michels, B.E.; Etlioglu, E.; Yepes, D.; Häupl, B.; Ziegler, P.K.; Bankov, K.; Wild, P.J.; Wanninger, S.; Medyouf, H.; Farin, H.F.; Tejpar, S.; Oellerich, T.; Ruland, J.; Siebel, C.W.; Greten, F.R. AKT-dependent NOTCH3 activation drives tumor progression in a model of mesenchymal colorectal cancer. J. Exp. Med., 2020, 217(10), e20191515. doi: 10.1084/jem.20191515 PMID: 32749453
  55. Ozawa, T.; Kazama, S.; Akiyoshi, T.; Murono, K.; Yoneyama, S.; Tanaka, T.; Tanaka, J.; Kiyomatsu, T.; Kawai, K.; Nozawa, H.; Kanazawa, T.; Yamaguchi, H.; Ishihara, S.; Sunami, E.; Kitayama, J.; Morikawa, T.; Fukayama, M.; Watanabe, T. Nuclear Notch3 expression is associated with tumor recurrence in patients with stage II and III colorectal cancer. Ann. Surg. Oncol., 2014, 21(8), 2650-2658. doi: 10.1245/s10434-014-3659-9 PMID: 24728738
  56. Wu, G.; Chen, Z.; Li, J.; Ye, F.; Chen, G.; Fan, Q.; Dong, H.; Yuan, S.; Zhu, X. NOTCH4 is a novel prognostic marker that correlates with colorectal cancer progression and prognosis. J. Cancer, 2018, 9(13), 2374-2379. doi: 10.7150/jca.26359 PMID: 30026833
  57. Shaik, J.P.; Alanazi, I.O.; Pathan, A.A.K.; Parine, N.R.; Almadi, M.A.; Azzam, N.A.; Aljebreen, A.M.; Alharbi, O.; Alanazi, M.S.; Khan, Z. Frequent activation of notch signaling pathway in colorectal cancers and its implication in patient survival outcome. J. Oncol., 2020, 2020, 1-8. doi: 10.1155/2020/6768942 PMID: 32211044
  58. Katoh, M.; Katoh, M. Precision medicine for human cancers with notch signaling dysregulation (Review). Int. J. Mol. Med., 2020, 45(2), 279-297. PMID: 31894255
  59. Loukinova, E.; Ranganathan, S.; Kuznetsov, S.; Gorlatova, N.; Migliorini, M.M.; Loukinov, D.; Ulery, P.G.; Mikhailenko, I.; Lawrence, D.A.; Strickland, D.K. Platelet-derived growth factor (PDGF)-induced tyrosine phosphorylation of the low density lipoprotein receptor-related protein (LRP). Evidence for integrated co-receptor function betwenn LRP and the PDGF. J. Biol. Chem., 2002, 277(18), 15499-15506. doi: 10.1074/jbc.M200427200 PMID: 11854294
  60. Vania, L.; Morris, G.; Otgaar, T.C.; Bignoux, M.J.; Bernert, M.; Burns, J.; Gabathuse, A.; Singh, E.; Ferreira, E.; Weiss, S.F.T. Patented therapeutic approaches targeting LRP/LR for cancer treatment. Expert Opin. Ther. Pat., 2019, 29(12), 987-1009. doi: 10.1080/13543776.2019.1693543 PMID: 31722579
  61. Yoon, H.; Tang, C.M.; Banerjee, S.; Yebra, M.; Noh, S.; Burgoyne, A.M.; Torre, J.D.; Siena, M.D.; Liu, M.; Klug, L.R.; Choi, Y.Y.; Hosseini, M.; Delgado, A.L.; Wang, Z.; French, R.P.; Lowy, A.; DeMatteo, R.P.; Heinrich, M.C.; Molinolo, A.A.; Gutkind, J.S.; Harismendy, O.; Sicklick, J.K. Cancer-associated fibroblast secretion of PDGFC promotes gastrointestinal stromal tumor growth and metastasis. Oncogene, 2021, 40(11), 1957-1973. doi: 10.1038/s41388-021-01685-w PMID: 33603171
  62. Yang, Y.; Ma, Y.; Yan, S.; Wang, P.; Hu, J.; Chen, S.; Zhu, J.; Wang, J.; Chen, G.; Liu, Y. CAF promotes chemoresistance through NRP2 in gastric cancer. Gastric Cancer, 2022, 25(3), 503-514. doi: 10.1007/s10120-021-01270-w PMID: 34826008
  63. Polavaram, N.S.; Dutta, S.; Islam, R.; Bag, A.K.; Roy, S.; Poitz, D.; Karnes, J.; Hofbauer, L.C.; Kohli, M.; Costello, B.A.; Jimenez, R.; Batra, S.K.; Teply, B.A.; Muders, M.H.; Datta, K. Tumor- and osteoclast-derived NRP2 in prostate cancer bone metastases. Bone Res., 2021, 9(1), 24. doi: 10.1038/s41413-021-00136-2 PMID: 33990538
  64. Aoki, S.; Inoue, K.; Klein, S.; Halvorsen, S.; Chen, J.; Matsui, A.; Nikmaneshi, M.R.; Kitahara, S.; Hato, T.; Chen, X.; Kawakubo, K.; Nia, H.T.; Chen, I.; Schanne, D.H.; Mamessier, E.; Shigeta, K.; Kikuchi, H.; Ramjiawan, R.R.; Schmidt, T.C.E.; Iwasaki, M.; Yau, T.; Hong, T.S.; Quaas, A.; Plum, P.S.; Dima, S.; Popescu, I.; Bardeesy, N.; Munn, L.L.; Borad, M.J.; Sassi, S.; Jain, R.K.; Zhu, A.X.; Duda, D.G. Placental growth factor promotes tumour desmoplasia and treatment resistance in intrahepatic cholangiocarcinoma. Gut, 2022, 71(1), 185-193. doi: 10.1136/gutjnl-2020-322493 PMID: 33431577

Қосымша файлдар

Қосымша файлдар
Әрекет
1. JATS XML

© Bentham Science Publishers, 2024