巨噬细胞相关基因与非小细胞肺癌预后和肿瘤微环境的分析

doi:10.16288/j.yczz.23-077

[an error occurred while processing this directive]

Hereditas(Beijing) ›› 2023, Vol. 45 ›› Issue (8): 684-699.doi: 10.16288/j.yczz.23-077

• Research Article • Previous Articles Next Articles

Analysis between macrophage-related genes with prognosis and tumor microenvironment in non-small cell lung cancer

Qingyu Sun(), Yang Zhou(), Lijuan Du, Mengke Zhang, Jiale Wang, Yuanyuan Ren, Fang Liu()

Harbin Medical University Cancer Hospital, Harbin 150081, China

Received:2023-03-28 Revised:2023-05-21 Online:2023-08-20 Published:2023-05-29
Contact: Fang Liu E-mail:sun18790538507@163.com;664192792@qq.com;fangliu@hrbmu.edu.cn
Supported by:
Major Program of Haiyan Foundation(91339107);Horizontal Project of Medical Research Project for Young and Middle-aged Lung Cancer(31471095);Horizontal Project of National Cancer Center Climbing Foundation(NCC201908B11);Horizontal Project of Beijing Science and Technology Innovation Medical Development Foundation(81270113)

Abstract

Abstract:

Non-small cell lung cancer (NSCLC) is a highly morbid and fatal disease that exhibits individualized differences in prognosis and drug efficacy. Therefore, understanding the molecular mechanism of the occurrence and progression of lung cancer can improve early diagnosis, treatment and prognosis. Macrophages are a crucial component of the tumor microenvironment (TME) due to their high plasticity and heterogeneity. They play a multifaceted role in tumor initiation and progression. In order to elucidate the pathogenesis of tumor-associated macrophages (TAMs) related genes in NSCLC, transcriptomic sequencing, univariate COX regression, LASSO regression and multivariate COX regression analyses were conducted to identify the 11 genes that have the most significant association with prognosis. These genes include FCRLA, LDHA, LMOD3, MAP3K8, NT5E, PDGFB, S100P, SFXN1, TDRD1, TFAP2A and TUBB6. The risk score (RS) was computed, and all samples were split into high- and low-risk groups based on the median RS. The correlation of RS and 11 genes with macrophages was verified by the CIBERSORT deconvolution algorithm. These above results suggest that the risk score developed in this study can be utilized for predicting patients' prognosis and evaluating their immune infiltration status. This study can serve as a guide for subsequent tumor immunotherapy and gene targeting therapy.

Key words: non-small cell lung cancer, tumor microenvironment, tumor-associated macrophages

Qingyu Sun, Yang Zhou, Lijuan Du, Mengke Zhang, Jiale Wang, Yuanyuan Ren, Fang Liu. Analysis between macrophage-related genes with prognosis and tumor microenvironment in non-small cell lung cancer[J]. Hereditas(Beijing), 2023, 45(8): 684-699.

Figures/Tables 9

Fig. 1

Table 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Fig. 7

Fig. 8

References 57

[1]	Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin, 2018, 68(6): 394-424. doi: 10.3322/caac.v68.6
[2]	Siegel RL, Miller KD, Fuchs HE, Jemal A.Cancer statistics, 2022. CA Cancer J Clin, 2022, 72(1): 7-33. doi: 10.3322/caac.v72.1
[3]	Duma N, Santana-Davila R, Molina JR. Non-Small cell lung cancer:epidemiology, screening, diagnosis, and treatment. Mayo Clin Proc, 2019, 94(8): 1623-1640. doi: 10.1016/j.mayocp.2019.01.013
[4]	Zhao C, Liu J, Zhou HM, Qian X, Sun H, Chen XW, Zheng MS, Bian TT, Liu L, Liu YF, Zhang JG. NEIL3 may act as a potential prognostic biomarker for lung adenocarcinoma. Cancer Cell Int, 2021, 21(1): 228 doi: 10.1186/s12935-021-01938-4 pmid: 33879165
[5]	Cao MM, Li H, Sun DQ, Chen WQ. Cancer burden of major cancers in china: a need for sustainable actions. Cancer Commun (Lond), 2020, 40(5): 205-210.
[6]	Ferlay J, Colombet M, Soerjomataram I, Dyba T, Randi G, Bettio M, Gavin A, Visser O, Bray F. Cancer incidence and mortality patterns in europe: estimates for 40 countries and 25 major cancers in 2018. Eur J Cancer, 2018, 103: 356-387. doi: S0959-8049(18)30955-9 pmid: 30100160
[7]	Pollard JW. Trophic macrophages in development and Disease. Nat Rev Immunol, 2009, 9(4): 259-270. doi: 10.1038/nri2528 pmid: 19282852
[8]	Hirsch FR, Scagliotti GV, Mulshine JL, Kwon R, Curran Jr WJ, Wu YL, Paz-Ares L. Lung cancer: current therapies and new targeted treatments. Lancet, 2017, 389(10066): 299-311. doi: S0140-6736(16)30958-8 pmid: 27574741
[9]	Yang PY, Markowitz GJ, Wang XF. The hepatitis B virus-associated tumor microenvironment in hepatocellular carcinoma. Natl Sci Rev, 2014, 1(3): 396-412. pmid: 25741453
[10]	Sedighzadeh SS, Khoshbin AP, Razi S, Keshavarz-Fathi M, Rezaei N. A narrative review of tumor-associated macrophages in lung cancer: regulation of macrophage polarization and therapeutic implications. Transl Lung Cancer Res, 2021, 10(4): 1889-1916. doi: 10.21037/tlcr
[11]	Domagala-Kulawik J. The relevance of bronchoalveolar lavage fluid analysis for lung cancer patients. Expert Rev Respir Med, 2020, 14(3): 329-337. doi: 10.1080/17476348.2020.1708720
[12]	Pouniotis DS, Plebanski M, Apostolopoulos V, McDonald CF. Alveolar macrophage function is altered in patients with lung cancer. Clin Exp Immunol, 2006, 143(2): 363-372. doi: 10.1111/j.1365-2249.2006.02998.x pmid: 16412062
[13]	Dabrowska M, Grubek-Jaworska H, Hoser G, Domagała- Kulawik J, Krenke R, Chazan R. Effect of IFN-gamma stimulation on expression of intercellular adhesion molecule-1 (ICAM-1) on alveolar macrophages in patients with non-small cell lung cancer. J Interferon Cytokine Res, 2006, 26(3): 190-195. doi: 10.1089/jir.2006.26.190
[14]	Sumitomo R, Hirai T, Fujita M, Murakami H, Otake Y, Huang CL. M2 tumor-associated macrophages promote tumor progression in non-small-cell lung cancer. Exp Ther Med, 2019, 18(6): 4490-4498. doi: 10.3892/etm.2019.8068 pmid: 31777551
[15]	Hu JM, Liu K, Liu JH, Jiang XL, Wang XL, Yang L, Chen YZ, Liu CX, Li SG, Cui XB, Zou H, Pang LJ, Zhao J, Qi Y, Liang WH, Yuan XL, Li F. The increased number of tumor-associated macrophage is associated with overexpression of VEGF-C, plays an important role in Kazakh ESCC invasion and metastasis. Exp Mol Pathol, 2017, 102(1): 15-21. doi: S0014-4800(16)30414-2 pmid: 27939650
[16]	Solinas G, Germano G, Mantovani A, Allavena P. Tumor-associated macrophages (TAM) as major players of the cancer-related inflammation. J Leukoc Biol, 2009, 86(5): 1065-1073. doi: 10.1189/jlb.0609385
[17]	Ma B, Yang Y, Li ZT, Zhao DL, Zhang WH, Jiang YF, Xue DB. Modular bioinformatics analysis demonstrates that a Toll-like receptor signaling pathway is involved in the regulation of macrophage polarization. Mol Med Rep, 2018, 18(5): 4313-4320.
[18]	Goodman AM, Kato S, Bazhenova L, Patel SP, Frampton GM, Miller V, Stephens PJ, Daniels GA, Kurzrock R. Tumor mutational burden as an independent predictor of response to immunotherapy in diverse cancers. Mol Cancer Ther, 2017, 16(11): 2598-2608. doi: 10.1158/1535-7163.MCT-17-0386 pmid: 28835386
[19]	Hellmann MD, Ciuleanu TE, Pluzanski A, Lee JS, Otterson GA, Audigier-Valette C, Minenza E, Linardou H, Burgers S, Salman P, Borghaei H, Ramalingam SS, Brahmer J, Reck M, O'Byrne KJ, Geese WJ, Green G, Chang H, Szustakowski J, Bhagavatheeswaran P, Healey D, Fu YL, Nathan F, Paz-Ares L. Nivolumab plus Ipilimumab in lung cancer with a high tumor mutational burden. N Engl J Med, 2018, 378(22): 2093-2104. doi: 10.1056/NEJMoa1801946
[20]	Samstein RM, Lee CH, Shoushtari AN, Hellmann MD, Shen R, Janjigian YY, Barron DA, Zehir A, Jordan EJ, Omuro A, Kaley TJ, Kendall SM, Motzer RJ, Hakimi AA, Voss MH, Russo P, Rosenberg J, Iyer G, Bochner BH, Bajorin DF, Al-Ahmadie HA, Chaft JE, Rudin CM, Riely GJ, Baxi S, Ho AL, Wong RJ, Pfister DG, Wolchok JD, Barker CA, Gutin PH, Brennan CW, Tabar V, Mellinghoff IK, DeAngelis LM, Ariyan CE, Lee N, Tap WD, Gounder MM, D'Angelo SP, Saltz L, Stadler ZK, Scher HI, Baselga J, Razavi P, Klebanoff CA, Yaeger R, Segal NH, Ku GY, DeMatteo RP, Ladanyi M, Rizvi NA, Berger MF, Riaz N, Solit DB, Chan TA, Morris LGT. Tumor mutational load predicts survival after immunotherapy across multiple cancer types. Nat Genet, 2019, 51(2): 202-206.
[21]	Yan JY, Wu XW, Yu JY, Zhu YY, Cang SD. Prognostic role of tumor mutation burden combined with immune infiltrates in skin cutaneous melanoma based on multi- omics analysis. Front Oncol, 2020, 10: 570654. doi: 10.3389/fonc.2020.570654
[22]	Wang J, Zhang XL, Li J, Ma XR, Feng FB, Liu LJ, Wu JB, Sun CG. ADRB1 was identified as a potential biomarker for breast cancer by the co-analysis of tumor mutational burden and immune infiltration. Aging (Albany NY), 2020, 13(1): 351-363.
[23]	Li L, Bai L, Lin H, Dong L, Zhang RM, Cheng X, Liu ZX, Ouyang Y, Ding KS. Multiomics analysis of tumor mutational burden across cancer types. Comput Struct Biotechnol J, 2021, 19: 5637-5646. doi: 10.1016/j.csbj.2021.10.013
[24]	Le DT, Durham JN, Smith KN, Wang H, Bartlett BR, Aulakh LK, Lu S, Kemberling H, Wilt C, Luber BS, Wong F, Azad NS, Rucki AA, Laheru D, Donehower R, Zaheer A, Fisher GA, Crocenzi TS, Lee JJ, Greten TF, Duffy AG, Ciombor KK, Eyring AD, Lam BH, Joe A, Kang SP, Holdhoff M, Danilova L, Cope L, Meyer C, Zhou SB, Goldberg RM, Armstrong DK, Bever KM, Fader AN, Taube J, Housseau F, Spetzler D, Xiao NQ, Pardoll DM, Papadopoulos N, Kinzler KW, Eshleman JR, Vogelstein B, Anders RA, Diaz LA 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
[25]	Middha S, Zhang LY, Nafa K, Jayakumaran G, Wong DN, Kim HR, Sadowska J, Berger MF, Delair DF, Shia J, Stadler Z, Klimstra DS, Ladanyi M, Zehir A, Hechtman JF. Reliable pan-cancer microsatellite instability assessment by using targeted next-generation sequencing data. JCO Precis Oncol, 2017, 2017: PO.17.00084.
[26]	Topalian SL, Hodi FS, Brahmer JR, Gettinger SN, Smith DC, McDermott DF, Powderly JD, Carvajal RD, Sosman JA, Atkins MB, Leming PD, Spigel DR, Antonia SJ, Horn L, Drake CG, Pardoll DM, Chen LP, Sharfman WH, Anders RA, Taube JM, McMiller TL, Xu HY, Korman AJ, Jure-Kunkel M, Agrawal S, McDonald D, Kollia GD, Gupta A, Wigginton JM, Sznol M. Safety, activity, and immune correlates of anti-PD-1 antibody in cancer. N Engl J Med, 2012, 366(26): 2443-2454. doi: 10.1056/NEJMoa1200690
[27]	Pan YY, Yu YD, Wang XJ, Zhang T. Tumor-associated macrophages in tumor immunity. Front Immunol, 2020, 11: 583084. doi: 10.3389/fimmu.2020.583084
[28]	DeNardo DG, Brennan DJ, Rexhepaj E, Ruffell B, Shiao SL, Madden SF, Gallagher WM, Wadhwani N, Keil SD, Junaid SA, Rugo HS, Hwang ES, Jirström K, West BL, Coussens LM. Leukocyte complexity predicts breast cancer survival and functionally regulates response to chemotherapy. Cancer Discov, 2011, 1(1): 54-67. doi: 10.1158/2159-8274.CD-10-0028 pmid: 22039576
[29]	Dijkgraaf EM, Heusinkveld M, Tummers B, Vogelpoel LTC, Goedemans R, Jha V, Nortier JWR, Welters MJP, Kroep JR, van der Burg SH. Chemotherapy alters monocyte differentiation to favor generation of cancer- supporting M2 macrophages in the tumor microenvironment. Cancer Res, 2013, 73(8): 2480-2492. doi: 10.1158/0008-5472.CAN-12-3542 pmid: 23436796
[30]	Bruchard M, Mignot G, Derangère V, Chalmin F, Chevriaux A, Végran F, Boireau W, Simon B, Ryffel B, Connat JL, Kanellopoulos J, Martin F, Rébé C, Apetoh L, Ghiringhelli F. Chemotherapy-triggered cathepsin B release in myeloid-derived suppressor cells activates the Nlrp3 inflammasome and promotes tumor growth. Nat Med, 2013, 19(1): 57-64. doi: 10.1038/nm.2999 pmid: 23202296
[31]	Jinushi M, Chiba S, Yoshiyama H, Masutomi K, Kinoshita I, Dosaka-Akita H, Yagita H, Takaoka A, Tahara H. Tumor-associated macrophages regulate tumorigenicity and anticancer drug responses of cancer stem/initiating cells. Proc Natl Acad Sci USA, 2011, 108(30): 12425-12430. doi: 10.1073/pnas.1106645108 pmid: 21746895
[32]	Mitchem JB, Brennan DJ, Knolhoff BL, Belt BA, Zhu Y, Sanford DE, Belaygorod L, Carpenter D, Collins L, Piwnica-Worms D, Hewitt S, Udupi GM, Gallagher WM, Wegner C, West BL, Wang-Gillam A, Goedegebuure P, Linehan DC, DeNardo DG. Targeting tumor-infiltrating macrophages decreases tumor-initiating cells, relieves immunosuppression, and improves chemotherapeutic responses. Cancer Res, 2013, 73(3): 1128-1141. doi: 10.1158/0008-5472.CAN-12-2731 pmid: 23221383
[33]	He JB, Hu Y, Hu MM, Li BL. Development of PD-1/PD-L1 pathway in tumor immune microenvironment and treatment for non-small cell lung cancer. Sci Rep, 2015, 5: 13110. doi: 10.1038/srep13110 pmid: 26279307
[34]	Cassetta L, Kitamura T. Targeting tumor-associated macrophages as a potential strategy to enhance the response to immune checkpoint inhibitors. Front Cell Dev Biol, 2018, 6: 38. doi: 10.3389/fcell.2018.00038 pmid: 29670880
[35]	Gordon SR, Maute RL, Dulken BW, Hutter G, George BM, McCracken MN, Gupta R, Tsai JM, Sinha R, Corey D, Ring AM, Connolly AJ, Weissman IL. PD-1 expression by tumour-associated macrophages inhibits phagocytosis and tumour immunity. Nature, 2017, 545(7655): 495-499. doi: 10.1038/nature22396
[36]	Xiang XN, Wang JG, Lu D, Xu X. Targeting tumor-associated macrophages to synergize tumor immunotherapy. Signal Transduct Target Ther, 2021, 6(1): 75.
[37]	Wu K, Li JC, Qi Y, Zhang CY, Zhu DY, Liu DL, Zhao S. SNHG14 confers gefitinib resistance in non-small cell lung cancer by Up-regulating ABCB1 via sponging miR-206-3p. Biomed Pharmacother, 2019, 116: 108995. doi: 10.1016/j.biopha.2019.108995
[38]	Gu YC, Zhu X, Cao BS, Wu X, Tong XL, Shao YW, Liang L. Transformation to small cell lung cancer and activation of KRAS during long-term erlotinib maintenance in a patient with non-small cell lung cancer: a case report. Oncol Lett, 17(6): 5219-5223.
[39]	Saito H, Fukuhara T, Furuya N, Watanabe K, Sugawara S, Iwasawa S, Tsunezuka Y, Yamaguchi O, Okada M, Yoshimori K, Nakachi I, Gemma A, Azuma K, Kurimoto F, Tsubata Y, Fujita Y, Nagashima H, Asai G, Watanabe S, Miyazaki M, Hagiwara K, Nukiwa T, Morita S, Kobayashi K, Maemondo M.Erlotinib plus bevacizumab versus erlotinib alone in patients with EGFR-positive advanced non-squamous non-small-cell lung cancer (NEJ026): interim analysis of an open-label, randomised, multicentre, phase 3 trial. Lancet Oncol, 2019, 20(5): 625-635. doi: S1470-2045(19)30035-X pmid: 30975627
[40]	Goldman MJ, Craft B, Hastie M, Repečka K, McDade F, Kamath A, Banerjee A, Luo YH, Rogers D, Brooks AN, Zhu JC, Haussler D. Visualizing and interpreting cancer genomics data via the Xena platform. Nat Biotechnol, 2020, 38(6): 675-678. doi: 10.1038/s41587-020-0546-8 pmid: 32444850
[41]	Kim IJ, Quigley D, To MD, Pham P, Lin K, Jo B, Jen KY, Raz D, Kim J, Mao JH, Jablons D, Balmain A. Rewiring of human lung cell lineage and mitotic networks in lung adenocarcinomas. Nat Commun, 2013, 4: 1701. doi: 10.1038/ncomms2660
[42]	Tang H, Xiao GH, Behrens C, Schiller J, Allen J, Chow CW, Suraokar M, Corvalan A, Mao JH, White MA, Wistuba II, Minna JD, Xie Y. A 12-gene set predicts survival benefits from adjuvant chemotherapy in non-small cell lung cancer patients. Clin Cancer Res, 2013, 19(6): 1577-1586. doi: 10.1158/1078-0432.CCR-12-2321 pmid: 23357979
[43]	Xue J, Schmidt SV, Sander J, Draffehn A, Krebs W, Quester I, De Nardo D, Gohel TD, Emde M, Schmidleithner L, Ganesan H, Nino-Castro A, Mallmann MR, Labzin L, Theis H, Kraut M, Beyer M, Latz E, Freeman TC, Ulas T, Schultze JL. Transcriptome-based network analysis reveals a spectrum model of human macrophage activation. Immunity, 2014, 40(2): 274-288. doi: 10.1016/j.immuni.2014.01.006 pmid: 24530056
[44]	Subramanian A, Tamayo P, Mootha VK, Mukherjee S, Ebert BL, Gillette MA, Paulovich A, Pomeroy SL, Golub TR, Lander ES, Mesirov JP. 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
[45]	D'Agostino RB Sr, Grundy S, Sullivan LM, Wilson P, CHD Risk Prediction Group. Validation of the Framingham coronary heart disease prediction scores: results of a multiple ethnic groups investigation. JAMA, 2001, 286(2): 180-187. doi: 10.1001/jama.286.2.180
[46]	Chen BB, Khodadoust MS, Liu CL, Newman AM, Alizadeh AA. 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
[47]	Li B, Li TW, Liu JS, Liu XS. Computational deconvolution of tumor-iInfiltrating immune components with bulk tumor gene expression data. Methods Mol Biol, 2020, 2120: 249-262.
[48]	Liu CC, Steen CB, Newman AJ. Computational approaches for characterizing the tumor immune microenvironment. Immunology, 2019, 158(2): 70-84. doi: 10.1111/imm.13101 pmid: 31347163
[49]	Qian BZ, Pollard JW. Macrophage diversity enhances tumor progression and metastasis. Cell, 2010, 141(1): 39-51. doi: 10.1016/j.cell.2010.03.014
[50]	Mechetina LV, Najakshin AM, Volkova OY, Guselnikov SV, Faizulin RZ, Alabyev BY, Chikaev NA, Vinogradova MS, Taranin AV. FCRL, a novel member of the leukocyte Fc receptor family possesses unique structural features. Eur J Immunol, 2002, 32(1): 87-96. doi: 10.1002/1521-4141(200201)32:1<87::AID-IMMU87>3.0.CO;2-# pmid: 11754007
[51]	Inozume T, Matsuzaki Y, Kurihara S, Fujita T, Yamamoto A, Aburatani H, Shimada S, Kawakami Y. Novel melanoma antigen, FCRL/FREB, identified by cDNA profile comparison using DNA chip are immunogenic in multiple melanoma patients. Int J Cancer, 2005, 114(2): 283-290. doi: 10.1002/ijc.20735 pmid: 15551350
[52]	Feng YB, Xiong YL, Qiao TY, Li XF, Jia LT, Han Y. Lactate dehydrogenase A: a key player in carcinogenesis and potential target in cancer therapy. Cancer Med, 2018, 7(12): 6124-6136. doi: 10.1002/cam4.2018.7.issue-12
[53]	Chen YJ, Wu GK, Li MS, Hesse M, Ma YS, Chen W, Huang HX, Liu Y, Xu WL, Tang YT, Zheng H, Li CL, Lin ZQ, Chen GJ, Liao WJ, Liao YL, Bin JP, Chen YM. LDHA-mediated metabolic reprogramming promoted cardiomyocyte proliferation by alleviating ROS and inducing M2 macrophage polarization. Redox Biol, 2022, 56: 102446. doi: 10.1016/j.redox.2022.102446
[54]	You Y, Wen DG, Zeng L, Lu J, Xiao X, Chen YC, Song H, Liu ZJ. ALKBH5/MAP3K8 axis regulates PD-L1+ macrophage infiltration and promotes hepatocellular carcinoma progression. Int J Biol Sci, 2022, 18(13): 5001-5018. doi: 10.7150/ijbs.70149 pmid: 35982895
[55]	Hölzel M, Bovier A, Tüting T. Plasticity of tumour and immune cells: A source of heterogeneity and a cause for therapy resistance? Nat Rev Cancer, 2013, 13(5): 365-376. doi: 10.1038/nrc3498 pmid: 23535846
[56]	Yang HT, Yao F, Davis PF, Tan ST, Hall SRR. CD73, tumor plasticity and immune evasion in solid cancers. Cancers, 2021, 13(2): 177. doi: 10.3390/cancers13020177
[57]	Shi Y, Xu ZZ, Lu H, Ci WM. Correlation studies of distinct mutational signatures with common cancer pathological subtyping. Hereditas(Beijing), 2018, 40(11): 1033-1038.
	史悦, 许争争, 鲁欢, 慈维敏. 肿瘤突变特征与病理分型的关联研究. 遗传, 2018, 40(11): 1033-1038.

Metrics

Comments

www.chinagene.cn
备案号：京ICP备09063187号

基因	风险比(95%CI)	显著性	系数值	基因	风险比(95%CI)	显著性	系数值
FCRLA	0.90(0.83~0.97)	0.007	-0.109236	S100P	1.09(1.04~1.15)	0.001	0.0881211
LDHA	1.25(0.98~1.59)	0.073	0.2212343	SFXN1	1.26(0.93~1.71)	0.144	0.2285379
LMOD3	0.80(0.65~0.97)	0.025	-0.226136	TDRD1	0.95(0.90~1.01)	0.092	-0.050309
MAP3K8	0.76(0.62~0.93)	0.007	-0.279034	TFAP2A	1.08(1.00~1.17)	0.054	0.0776191
NT5E	1.10(1.00~1.21)	0.053	0.0965542	TUBB6	1.13(0.96~1.33)	0.142	0.1235577
PDGFB	1.31(1.10~1.56)	0.002	0.2690441

Analysis between macrophage-related genes with prognosis and tumor microenvironment in non-small cell lung cancer

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 9

References 57

Related Articles 3

Recommended Articles

Metrics

Comments

[1]	Qiang Zhang, Mingliang Gu. Single-cell sequencing and its application in breast cancer [J]. Hereditas(Beijing), 2020, 42(3): 250-268.
[2]	Wang Shiming, Song Xiao, Zhao Xueying, Chen Hongyan, Wang Jiucun, Wu Junjie, Gao Zhiqiang, Qian Ji, Bai Chunxue, Li Qiang, Han Baohui, Lu Daru. Association between polymorphisms of autophagy pathway and responses in non-small cell lung cancer patients treated with platinum-based chemotherapy [J]. Hereditas(Beijing), 2017, 39(3): 250-262.
[3]	HUANG Yun, YANG Huan-Jie, JIN Yan, LI Hui-Min, FU Song-Bin. 13q14 Aberration is related to the Metastatic Potential of Human NSCLC [J]. HEREDITAS, 2005, 27(4): 531-534.