Hight expression of HJURP in lung adenocarcinoma and related with poor prognosis

doi:10.3877/cma.j.issn.1674-6902.2023.04.009

Abstract

Abstract:

Objective

To investigate the expression leve land prognostic significance of Holliday cross recognition protein (HJURP) in lung adenocarcinoma (LUAD).

Methods

Gene expression and clinical data of LUAD patients were downloaded from the public databases TCGA (The Cancer Genome Atlas) and GEO (Gene Expression Omnibus), the expression levels of HJURP were analyzed by R language software. HJURP protein expression date of LUAD patients were downloaded from the HPA (Human Protein Atlas). SsGSEA algorithm was used to analyze the immune infiltration. Then, ROC curves, Kaplan-Meier analysis, univariate and multivariate COX regression analysis, nomograms and calibration curves were applied to evaluate the association between HJURP expression and clinical prognosis.

Results

The expression of HJURP was significantly higher in LUAD than in adjacent tissues (P<0.001). Immune filtration analysis showed that HJURP was negatively correlated with eosinophils and mastcells(P<0.001), and positively correlated with activated CD4 T cells (P<0.001). In the results of the clinical prognosis analysis, HJURP was highly sensitive to the prognosis of LUAD, and patients with high HJURP expression had poor overall survival. COX regression analysis showed that the expression of HJURP was an independent risk factor for the overall survival rate.

Conclusion

HJURP is overexpressed in LUAD and is significantly associated with poor prognosis, suggesting the potential of HJURP as a diagnostic marker and therapeutic target for LUAD.

Key words: LUAD, HJURP, Prognosis, Bioinformatics

Jing Qiu, Qing Huang. Hight expression of HJURP in lung adenocarcinoma and related with poor prognosis[J]. Chinese Journal of Lung Diseases(Electronic Edition), 2023, 16(04): 495-499.

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Figures/Tables 5

References 26

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Characteristics	Total(n)	Univariate analysis		Multivariate analysis
Characteristics	Total(n)	Hazard ratio(95%CI)	P	Hazard ratio(95%CI)	P
T stage	485	1.571(1.259~1.96)	0.000	1.211(0.957~1.531)	0.111
TX	3
T1	166
T2	254
T3	44
T4	18
N stage	485	1.741(1.42~2.135)	0.000	1.171(0.871~1.575)	0.297
NX	10
N0	314
N1	90
N2	69
N3	2
M stage	485	1.485(1.031~2.141)	0.034	0.881(0.573~1.355)	0.564
MX	139
M0	25
M1	321
AJCC stage	485	1.668(1.415~1.967)	0.000	1.474(1.104~1.967)	0.008
Stage Ⅰ	263
Stage Ⅱ	117
Stage Ⅲ	79
Stage Ⅳ	26
HJURP	485	1.019(1.009~1.028)	0.000	1.015(1.005~1.025)	0.005
Low	243
High	242

Characteristics	Total(n)	Univariate analysis		Multivariate analysis
Characteristics	Total(n)	Hazard ratio(95%CI)	P	Hazard ratio(95%CI)	P
T stage	485	1.571(1.259~1.96)	0.000	1.211(0.957~1.531)	0.111
TX	3
T1	166
T2	254
T3	44
T4	18
N stage	485	1.741(1.42~2.135)	0.000	1.171(0.871~1.575)	0.297
NX	10
N0	314
N1	90
N2	69
N3	2
M stage	485	1.485(1.031~2.141)	0.034	0.881(0.573~1.355)	0.564
MX	139
M0	25
M1	321
AJCC stage	485	1.668(1.415~1.967)	0.000	1.474(1.104~1.967)	0.008
Stage Ⅰ	263
Stage Ⅱ	117
Stage Ⅲ	79
Stage Ⅳ	26
HJURP	485	1.019(1.009~1.028)	0.000	1.015(1.005~1.025)	0.005
Low	243
High	242

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