Bray, F., Ferlay, J., Soerjomataram, I., et al., Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries, Ca-Cancer J. Clin., 2018, vol. 68, no. 6, pp. 394—424. https://doi.org/10.3322/caac.21492

Article  PubMed  Google Scholar 

Mitchell, P.L. and John, T., Lung cancer in 2016: immunotherapy comes of age, Lancet Respir. Med., 2016, vol. 4, no. 12, pp. 947—949. https://doi.org/10.1016/S2213-2600(16)30379-4

Article  PubMed  Google Scholar 

Qu, Y., Cheng, B., Shao, N., et al., Prognostic value of immune-related genes in the tumor microenvironment of lung adenocarcinoma and lung squamous cell carcinoma, Aging, 2020, vol. 12, no. 6, pp. 4757—4777. https://doi.org/10.18632/aging.102871

Article  CAS  PubMed  PubMed Central  Google Scholar 

Ettinger, D.S., Wood, D.E., Akerley, W., et al., NCCN Guidelines insights: non-small cell lung cancer, version 4.2016, J. Natl. Compr. Cancer Network, 2016, vol. 14, no. 3, pp. 255—264. https://doi.org/10.6004/jnccn.2016.0031

Article  Google Scholar 

Hanahan, D. and Coussens, L.M., Accessories to the crime: functions of cells recruited to the tumor microenvironment, Cancer Cell, 2012, vol. 21, no. 3, pp. 309—322. https://doi.org/10.1016/j.ccr.2012.02.022

Article  CAS  PubMed  Google Scholar 

Jia, D., Li, S., Li, D., et al., Mining TCGA database for genes of prognostic value in glioblastoma microenvironment, Aging, 2018, vol. 10, no. 4, pp. 592—605. https://doi.org/10.18632/aging.101415

Article  CAS  PubMed  PubMed Central  Google Scholar 

Quail, D.F. and Joyce, J.A., Microenvironmental regulation of tumor progression and metastasis, Nat. Med., 2013, vol. 19, no. 11, pp. 1423—1437. https://doi.org/10.1038/nm.3394

Article  CAS  PubMed  PubMed Central  Google Scholar 

Wu, R., Zheng, W., Tan, J., et al., Protein partners of plant ubiquitin-specific proteases (UBPs), Plant Physiol. Biochem., 2019, vol. 145, pp. 227—236. https://doi.org/10.1016/j.plaphy.2019.08.032

Article  CAS  PubMed  Google Scholar 

Belli, C., Trapani, D., Viale, G., et al., Targeting the microenvironment in solid tumors, Cancer Treat. Rev., 2018, vol. 65, pp. 22—32. https://doi.org/10.1016/j.ctrv.2018.02.004

Article  CAS  PubMed  Google Scholar 

Mezheyeuski, A., Bergsland, C.H., Backman, M., et al., Multispectral imaging for quantitative and compartment-specific immune infiltrates reveals distinct immune profiles that classify lung cancer patients, J. Pathol., 2018, vol. 244, no. 4, pp. 421—431. https://doi.org/10.1002/path.5026

Article  CAS  PubMed  Google Scholar 

Goldmann, T., Marwitz, S., Nitschkowski, D., et al., PD-L1 amplification is associated with an immune cell rich phenotype in squamous cell cancer of the lung, Cancer Immunol. Immunother., 2021, vol. 70, no. 9, pp. 2577—2587. https://doi.org/10.1007/s00262-020-02825-z

Article  CAS  PubMed  PubMed Central  Google Scholar 

Hu, D., Zhou, M., and Zhu, X., Deciphering immune-associated genes to predict survival in clear cell renal cell cancer, BioMed. Res. Int., 2019. https://doi.org/10.1155/2019/2506843

Wang, P., Wang, Y., Hang, B., et al., A novel gene expression-based prognostic scoring system to predict survival in gastric cancer, Oncotarget, 2016, vol. 7, no. 34, pp. 55343—55351. https://doi.org/10.18632/oncotarget.10533

Article  PubMed  PubMed Central  Google Scholar 

Ritchie, M.E., Phipson, B., Wu, D., et al., limma powers differential expression analyses for RNA-sequencing and microarray studies, Nucleic Acids Res., 2015, vol. 43, no. 7, p. e47. https://doi.org/10.1093/nar/gkv007

Article  CAS  PubMed  PubMed Central  Google Scholar 

Wang, L., Cao, C., Ma, Q., et al., RNA-seq analyses of multiple meristems of soybean: novel and alternative transcripts, evolutionary and functional implications, BMC Plant Biol., 2014, vol. 14. https://doi.org/10.1186/1471-2229-14-169

Eisen, M.B., Spellman, P.T., Brown, P.O., et al., Cluster analysis and display of genome-wide expression patterns, Proc. Natl. Acad. Sci. U.S.A., 1998, vol. 95, no. 25, pp. 14863—14868. https://doi.org/10.1073/pnas.95.25.14863

Article  CAS  PubMed  PubMed Central  Google Scholar 

Huang, D.W., Sherman, B.T., and Lempicki, R.A., Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources, Nat. Protoc., 2009, vol. 4, no. 1, pp. 44—57. https://doi.org/10.1038/nprot.2008.211

Article  CAS  PubMed  Google Scholar 

Goeman, J.J., L1 penalized estimation in the Cox proportional hazards model, Biom. J., 2010, vol. 52, no. 1, pp. 70—84. https://doi.org/10.1002/bimj.200900028

Article  PubMed  Google Scholar 

Liu, X., Gao, Z., Wang, R., et al., Comparison of Billroth I, Billroth II, and Roux-en-Y reconstructions after distal gastrectomy according to functional recovery: a meta-analysis, Eur. Rev. Med. Pharmacol. Sci., 2019, vol. 23, no. 17, pp. 7532—7542. https://doi.org/10.26355/eurrev_201909_18869

Article  PubMed  Google Scholar 

Li, T., Fan, J., Wang, B., et al., TIMER: a web server for comprehensive analysis of tumor-infiltrating immune cells, Cancer Res., 2017, vol. 77, no. 21, pp. e108—e110. https://doi.org/10.1158/0008-5472.CAN-17-0307

Article  CAS  PubMed  PubMed Central  Google Scholar 

Thompson, E.D., Zahurak, M., Murphy, A., et al., Patterns of PD-L1 expression and CD8 T cell infiltration in gastric adenocarcinomas and associated immune stroma, Gut, 2017, vol. 66, no. 5, pp. 794—801. https://doi.org/10.1136/gutjnl-2015-310839

Article  CAS  PubMed  Google Scholar 

Zeng, D., Li, M., Zhou, R., et al., Tumor microenvironment characterization in gastric cancer identifies prognostic and immunotherapeutically relevant gene signatures, Cancer Immunol. Res., 2019, vol. 7, no. 5, pp. 737—750. https://doi.org/10.1158/2326-6066.CIR-18-0436

Article  CAS  PubMed  Google Scholar 

Yoshihara, K., Shahmoradgoli, M., Martínez, E., et al., Inferring tumour purity and stromal and immune cell admixture from expression data, Nat. Commun., 2013, vol. 4. https://doi.org/10.1038/ncomms3612

Gao, J., Qiu, X., Li, X., et al., Expression profiles and clinical value of plasma exosomal Tim-3 and Galectin-9 in non-small cell lung cancer, Biochem. Biophys. Res. Commun., 2018, vol. 498, no. 3, pp. 409—415. https://doi.org/10.1016/j.bbrc.2018.02.114

Article  CAS  PubMed  Google Scholar 

Zhang, X., Zeng, Y., Qu, Q., et al., PD-L1 induced by IFN-γ from tumor-associated macrophages via the JAK/STAT3 and PI3K/AKT signaling pathways promoted progression of lung cancer, Int. J. Clin. Oncol., 2017, vol. 22, no. 6, pp. 1026—1033. https://doi.org/10.1007/s10147-017-1161-7

Article  CAS  PubMed  Google Scholar 

Ozawa, Y., Amano, Y., Kanata, K., et al., Impact of early inflammatory cytokine elevation after commencement of PD-1 inhibitors to predict efficacy in patients with non-small cell lung cancer, Med. Oncol., 2019, vol. 36, no. 4, p. 33. https://doi.org/10.1007/s12032-019-1255-3

Article  CAS  PubMed  Google Scholar 

Cappell, K.M., Sinnott, R., Taus, P., et al., Multiple cancer testis antigens function to support tumor cell mitotic fidelity, Mol. Cell. Biol., 2012, vol. 32, no. 20, pp. 4131—4140. https://doi.org/10.1128/MCB.00686-12

Article  CAS  PubMed  PubMed Central  Google Scholar 

Nielsen, A.Y. and Gjerstorff, M.F., Ectopic expression of testis germ cell proteins in cancer and its potential role in genomic instability, Int. J. Mol. Sci., 2016, vol. 17, no. 6, p. 890. https://doi.org/10.3390/ijms17060890

Article  CAS  PubMed  PubMed Central  Google Scholar 

Sun, Z.Q., Han, X.N., Wang, H.J., et al., Prognostic significance of preoperative fibrinogen in patients with colon cancer, World J. Gastroenterol., 2014, vol. 20, no. 26, pp. 8583—8591. https://doi.org/10.3748/wjg.v20.i26.8583

Article  CAS  PubMed  PubMed Central  Google Scholar 

Sheng, L., Luo, M., Sun, X., et al., Serum fibrinogen is an independent prognostic factor in operable nonsmall cell lung cancer, Int. J. Cancer, 2013, vol. 133, no. 11, pp. 2720—2725. https://doi.org/10.1002/ijc.28284

Article