Literature DB >> 24592122

Expression of HMGB1 and NF-κB p65 and its significance in non-small cell lung cancer.

Xiaohong Zhang1, Hongmin Wang2, Jing Wang2.   

Abstract

AIM OF THE STUDY: To study high mobility group protein B1 (HMGB1) and nuclear transcription factor p65 (NF-κB p65) expression in non-small cell lung cancer and its significance.
MATERIAL AND METHODS: 106 hospitalized patients with non-small cell lung cancer after thoracic surgery were enrolled; HMGB1 and p65 protein expression was detected by the immunohistochemical method. Semiquantitative expression of HMGB1 and NF-κB p65 was analyzed using Image Pro Plus (IPP) software and statistical analysis.
RESULTS: The rate of HMGB1 positive expression in the non-small cell lung cancer protein B1 family was significantly higher than normal tissues (P < 0.05); p65 protein expression in the non-small cell lung carcinoma group was significantly higher than that of normal tissues (P < 0.05). HMGB1 and NF-κB p65 protein expression was significantly higher compared with the non-metastatic group (P < 0.01). HMGB1 and NF-κB p65 protein expression showed a positive correlation (P < 0.05).
CONCLUSIONS: HMGB1 and NF-κB p65 expression may be related to non-small cell lung cancer metastasis.

Entities:  

Keywords:  high mobility group protein B1; immunohistochemistry; non-small cell lung cancer; nuclear transcription factor p65; transfer

Year:  2013        PMID: 24592122      PMCID: PMC3934056          DOI: 10.5114/wo.2013.35291

Source DB:  PubMed          Journal:  Contemp Oncol (Pozn)        ISSN: 1428-2526


Introduction

Lung cancer is one of the most common malignancies in the world. In recent years, its incidence and mortality keep rising, and the survival rate is as poor as 12.5% [1-4]. Results of the study in the Polish population confirmed the efficacy of erlotinib in advanced NSCLC after failure of prior platinum-based chemotherapy [5]. High mobility group protein B1 (HMGB1), a non-histone chromosomal protein in eukaryotic cells, correlates highly with invasion and metastasis in multiple tumors. As revealed by previous research, tumor exogenous may be enhanced by HMGB1, which improves the production ratio of matrix metalloproteinases-9 (MMP9) and optimizes MMP9 gene activity, through activating p65 protein, one of the nuclear transcription factors, and adhering to the key site of the MMP9 gene [6-9]. The p53 gene and protein are significant in the elimination of impaired cells, through the path of apoptosis. In the mutation of the p53 gene, abnormal p53 protein is created. The biggest number of cells which accumulate protein p53 has been disclosed in the cells of adenocarcinoma whereas the smallest number of cells which accumulate protein p53 has been disclosed in multicellular types of cancer, and a smaller number of cells accumulating protein p53 has been disclosed in older patients [10]. With a sample including 106 non-small cell lung cancer (NSCLC) patients, we carried out a pathological study on content of p65 protein, the nuclear transcription factor, and HMGB1, to analyze their correlation with various clinical parameters, and discuss their effects on the enhanced exotrophy in NSCLC. Our results are presented here.

Material and methods

Clinical data

This study was conducted in accordance with the declaration of Helsinki. This study was conducted with approval from the Ethics Committee of the First Affiliated Hospital of Zhengzhou University. Written informed consent was obtained from all participants. This retrospective research included 106 NSCLC patients in hospitalized by our hospital from February 2009 to February 2011, 76 males and 30 females, aged between 32 and 80 years, average 60.2 y. All patients underwent thoracotomy, without neo-adjuvant chemotherapy or radiotherapy.

Immunohistochemistry

Routine paraffin sectioning, dewaxing, and hydration using 3% hydrogen peroxide were performed to remove endogenous peroxidase. Microwave antigen was retrieved and blocked with fetal calf serum for 2 h. About 50 μl (1 : 25) of goat polyclonal anti-human HMGB1 and NF-κB p65 were added, and the mixture was incubated at 4°C overnight. About 50 μl of biotinylated goat anti-rabbit IgG secondary antibody working solution was added, and the mixture was incubated at 37°C for 30 min, followed by diaminobenzidine coloration. The sample was dyed with hematoxylin, separated using ethanol and hydrochloric acid, saturated with lithium carbonate until the color returned to blue, and then dehydrated with gradient alcohol as well as xylene. Mounting with neutral resin followed. The negative control used was PBS in place of the primary antibody. In immunohistochemistry (IMC) SP, the sample appearing yellow or brownish yellow was considered as positive. Quantity and intensity of the stained cells were evaluated by the staining in each of ten fields in 400-fold magnification for 100 cells per observation. A sample was scored 0 for positive cells below 10%, 1 for 11–25%, 2 for 26–50%, 3 for 51–75%, and 4 for higher than 75%. Microscopic staining intensity for the positively stained cells was scored 1 for the yellow, 2 for the brownish yellow, and 3 for the brown. The final observation result, a product of the percentage of the positive cells out of those under observation multiplied by the staining intensity, was considered as negative for the product 0, which means no less than 10% positive cells were found, weak positive for 1–4, which means the average number of positive cells was less than 25%, moderate positive for 5–8, which means the average number of positive cells was less than 50%, and strong positive for 9–12, which means the average number of positive cells was more than 50%, wherein the former two were regarded as low expression in HMGB1, and the latter two as high expression.

Statistical analysis

Semiquantitative expression of NF-κB p65 and HMGB1 was analyzed by the score. Only 0 was negative, while others were all considered as positive. χ2 test was conducted to test the relevance of the expression of NF-κB p65 (or HMGB1) and the tumor size, histomorphological types, tumor mesenchyme, differentiation degree and lymph node metastasis. Meanwhile, the relation between NF-κB p65 and HMGB1 was also evaluated with χ2. P < 0.05 was considered as a significant difference.

Results

The clinical data are shown in Table 1. The patients included 65 squamous carcinomas, 25 adenocarcinomas, 16 adenosquamous carcinomas, 64 with node metastasis and 42 without, 36 in stage I, 22 in stage II and 48 in stage III, 50 poorly differentiated, 39 moderately differentiated and 17 well differentiated. Paracarcinomatous tissue beyond 5 cm from the tumor margin was collected from 32 patients during the operation as the control.
Table 1

Relationship between HMGB1, NF-κB p65 expression and the clinic pathological features of NSCLC

Clinic pathological parameters n NF-κB p65 positive expression [cases (%)]x2 value P valueHMGB1 positive expression [cases (%)]x2 value P value
Tumor size
 ≤ 3 cm4821 (43.75)0.0070.92923 (47.92)
 > 3 cm5826 (44.83)0.0270.84928 (48.28)
Histomorphological types
 Squamous cancer6522 (33.80)25 (38.46)
 Adenocarcinoma2514 (56.00)9.3860.00916 (64.00)6.6970.035
 Adenosquamous carcinoma1612 (75.00)11 (69.00)
Tumor mesenchyme
 Squamous carcinoma65051 (78.46)8.6990.003
 Adenocarcinoma25010 (40.00)
Differentiation degree
 Low5029 (58.00)31 (62.00)
 Median3913 (33.03)7.0840.02816 (41.03)7.6470.021
 High174 (23.53)4 (23.53)
Lymph node metastasis
 Yes6438 (59.38)42 (65.63)
 No429 (21.43)12.4380.0009 (21.43)17.2580.000

Note: HMGB1: nuclear transcription factor protein B1; NF-κB p65: Nuclear transcription factor p65 protein

NF-κB p65
Tumor size Positive Negative Total
< 3 cm21 (a)27 (b)48 (a + b)
≥ 3 cm26 (c)32 (d)58 (c + d)
Total47 (a + c)59 (b + d)106 (n)

n = 106 > 40 T11 = [(a + b) × (a + c)]/n = 48 × 47/106 = 21.28 > 5; T12 = [(a + b) × (b + d)]/n = 48 × 59/106 = 26.72 > 5; T21 = [(c + d) × (a + c)]/n = 58 × 47/106 = 25.72 > 5; T22 = [(c + d) × (b + d)]/n = 58 × 59/106 = 32.28 > 5; x2 = (a – T11)2/T11 + (b – T12)2/T12 + (c – T21)2/T21 + (d – T22)2/T22 = 0.0012; v = 1; P ≈ 0.7

HMGB1
Tumor size Positive Negative Total
≥3 cm23 (a)25 (b)48 (a + b)
< 3 cm28 (c)30 (d)58 (c + d)
Total51 (a + c)55 (b + d)106 (n)

n = 106 > 40 T11 = [(a + b) × (a + c)]/n = 48 × 51/106 = 23.09 > 5; T12 = [(a + b) × (b + d)]/n = 24.91 > 5; T21 = [(c + d) × (a + c)]/n = 27.91 > 5; T22 = [(c + d) × (b + d)]/n = 30.09 > 5; x2 = (a – T11)2/T11 + (b – T12)2/T12 + (c – T21)2/T21 + (d – T22)2/T22 = 0.0012; v = 1; P ≈ 0.7

NF-κB p65
Histomorphological types Positive Negative Total
Squamous cancer224365
Adenocarcinoma141125
Adenosquamous carcinoma12416
Total4858106

n = 106; T11 = 65 × 48/106 = 29.43 > 5; T12 = 65 × 58/106 = 35.57 > 5; T21 = 25 × 48/106 = 11.32 > 5; T22 = 25 × 58/106 = 13.68 > 5; T31 = 16 × 48/106 = 7.25 > 5; T32 = 16 × 58/106 = 8.75 > 5; x2 = 106[222/(65 × 48) + 432/(65 × 58) + 142/(48 × 25) + 112/(58 × 25) + 122/(48 × 16) + 42/(58 × 16) – 1] = 10.2928; 0.05 < p < 0.01

HMGB1
Histomorphological types Positive Negative Total
Squamous cancer254065
Adenocarcinoma16925
Adenosquamous carcinoma11516
Total5254106

n = 106; T11 = 65 × 52/106 = 31.89 > 5; T12 = 65 × 54/106 = 33.11 > 5; T21 = 25 × 52/106 = 12.26 > 5; T22 = 25 × 54/106 = 12.74 > 5; T31 = 16 × 52/106 = 7.85 > 5; T32 = 16 × 54/106 = 8.15 > 5; x2 = 106 [252/(65 × 52) + 402/(65 × 54) + 162/(52 × 25) + 92/(54 × 25) + 112/(52 × 16) + 52/(54 × 16) –1] = 35.24; = (2 – 1) × (3 – 1) = 2; P < 0.005

NF-κB p65
Differentiation degree Positive Negative Total
Low292150
Median132639
High41317
Total4660106

n = 106; T11 = 50 × 46/106 = 21.70 > 5; T12 = 50 × 60/106 = 28.30 > 5; T21 = 39 × 46/106 = 16.92 > 5; T22 = 39 × 60/106 = 17.66 > 5; T31 = 17 × 46/106 = 7.38 > 5; T32 = 17 × 60/106 = 9.62 > 5; x2 = 106 [292/(50 × 46) + 212/(50 × 60) + 132/(39 × 46) + 262/(39 × 60) + 42/(17 × 46) + 132/(17 × 60) – 1] = 8.6746; v = (2 – 1) × (3 – 1) = 2; P < 0.025

HMGB1
Differentiation degree Positive Negative Total
Low311950
Median162339
High41317
Total5155106

n = 106; T11 = 50 × 51/106 = 24.06 > 5; T12 = 50 × 55/106 = 25.94 > 5; T21 = 39 × 51/106 = 18.76 > 5; T22 = 39 × 55/106 = 20.24 > 5; T31 = 17 × 51/106 = 8.18 > 5; T32 = 17 × 55/106 = 8.82 > 5; x2 = 106 [312/(50 × 51) + 192/(50 × 55) + 162/(39 × 51) + 232/(39 × 55) + 42/(17 × 51) + 132/(17 × 55) – 1] = 8.7615; V = (2 – 1) × (3 – 1) = 2; P < 0.025

NF-κB p65
Lymph node metastasis Positive Negative Total
Yes38 (a)26 (b)64 (a + b)
No9 (c)33 (d)42 (c + d)
Total47 (a + c)59 (b + d)106 (n)

n = 106 > 40 T11 = [(a + b) × (a + c)]/n = 64 × 47/106 = 29.38 > 5; T12 = [(a + b) × (b + d)]/n = 64 × 59/106 = 35.62 > 5; T21 = [(c + d) × (a + c)]/n = 42 × 47/106 = 18.62 > 5; T22 = [(c + d) × (b + d)]/n = 42 × 59/106 = 23.38 > 5; x2 = (a – T11)2/T11 + (b – T12)2/T12 + (c – T21)2/T21 + (d – T22)2/T22 = 13.9298; v = 1; P < 0.005.

HMGB1
Lymph node metastasis Positive Negative Total
Yes42 (a)22 (b)64 (a + b)
No9 (c)33 (d)42 (c + d)
Total51 (a + c)55 (b + d)106 (n)

n = 106 > 40 T11 = [(a + b) × (a + c)]/n = 64 × 51/106 = 30.79 > 5; T12 = [(a + b) × (b + d)]/n = 64 × 55/106 = 33.21 > 5; T21 = [(c + d) × (a + c)]/n = 42 × 51/106 = 20.21 > 5; T22 = [(c + d) × (b + d)]/n = 42 × 55/106 = 21.79 > 5; x2 = (a – T11)2/T11 + (b – T12)2/T12 + (c – T21)2/T21 + (d – T22)2/T22 = 19.8502; v = 1; P < 0.005

Relation between p65 and HMGB1
p65HMGB1(+)HMGB1(–)Total
p65(+)36 (a)12 (b)48 (a + b)
p65(–)15 (c)43 (d)58 (c + d)
Total51 (a + c)55 (b + d)106 (n)

n = 106 > 40 T11 = [(a + b) × (a + c)]/n = 48 × 51/106 = 23.09 > 5; T12 = [(a + b) × (b + d)]/n = 24.91 > 5; T21 = [(c + d) × (a + c)]/n = 27.91 > 5; T22 = [(c + d) × (b + d)]/n = 30.09 > 5; x2 = (a – T11)2/T11 + (b – T12)2/T12 + (c – T21)2/T21 + (d – T22)2/T22 = 25.4196; v = 1; P < 0.005
Relationship between HMGB1, NF-κB p65 expression and the clinic pathological features of NSCLC

Expression of HMGB1 and p65

High expression of HMGB1 was found in both cytoplasm and nucleus of both tumor cells and interstitial inflammatory cells. Expression of the nuclear transcription factor p65 was noted in cytoplasm and nucleus of tumor cells with the intensity from faint yellow to brownish yellow, but generally null in the interstitial cells. Positive expression of either HMGB1 (p < 0.05) or p65 (p < 0.01) was higher significantly in NSCLC tissue than in the control, the paracarcinomatous tissue. The expressed quantity of either HMGB1 or p65 was significantly higher in patients with node metastasis than in those without it (p < 0.01).

Correlation analysis

Expression of p65 was observed in 36 (70.59%) out of 51 NSCLC tumor tissues high in HMGB1 expression, and in only 12 (21.81%) out of 55 low in HMGB1, and there was a relation between NF-κB p65 and HMGB1 (p < 0.05).

Discussion

Prognosis highly correlates with metastasis in lung cancer patients. HMGB1 was first discovered to be an omnipresent DNA-binding protein, which regulates the genesis of transcription complex and therefore participates in the transcription, replication and repair of DNA and cellular mobility, through inducing the transfiguration of chromosomes and DNA [11-15]. Secreted by macrophages, monocytes or damaged necrotic cells, HMGB1 induces a chemotactic response, and therefore participates in metastasis of tumor cells [16-18]. HMGB1 in 95D human lung cancer cells, HMGB1 alone or acting synergistically with CpG ODN could enhance the progression of 95D cells, which would promote the progression of lung cancer [19]. Our research revealed its high expression in tumor cells and interstitial cells, and significantly higher expression in tumors with node metastasis than in those without it, which seems similar to the results of previous research on cervix cancer and colon cancer, implying a correlation between positive HMGB1 expression and node metastasis in NSCLC. P65 protein, a transcription factor first separated from materials contained in the nucleus of mature immune cells, is a molecule involved in cellular signal transduction, which influences the activity of transcription factors through various mechanisms, by all means, in all ways, and therefore intensifies or attenuates cellular functions or activities in different stages of the life cycle [20, 21]. Skeletal metastases are a frequent complication of lung cancer, and p65 was one of the signal proteins involved in the skeletal complications of cancer metastases [22]. Therefore, p65 became one of the foci in research on mechanisms involved in oncogenesis. Fujioka et al. revealed a positive correlation between the transcription factor p65 and tumor metastasis. It has been confirmed in pulmonary cancer that RelA/p65 is necessary to link smoke-induced inflammation and has a role in the activation of Wnt/β-catenin signaling in tumor cells [23]. In our research, expression of p65 was found positive in cytoplasm and nucleus of tumor cells but null generally in the interstitial cells. Furthermore, significantly higher expression of both HMGB1 and p65 was observed in tumors with node metastasis than in those without it, implying a certain close correlation between tumor metastasis and HMGB1. This research also suggests that there is a positive correlation between HMGB1 and the transcription factor p65 in NSCLC. Some other research found that HMGB1 and p65 were important factors in melanoma progression [24]. Therefore, we speculate that these two molecules might not only be adopted as markers in a joint detection to help evaluate the prognosis of NSCLC patients, but also regarded as potential targets under investigation in cancer therapy.
  23 in total

Review 1.  HMGB1, a potent proinflammatory cytokine in sepsis.

Authors:  Wenchang Huang; Yaoqing Tang; Lei Li
Journal:  Cytokine       Date:  2010-03-26       Impact factor: 3.861

2.  Multiple nuclear factors interact with the immunoglobulin enhancer sequences.

Authors:  R Sen; D Baltimore
Journal:  Cell       Date:  1986-08-29       Impact factor: 41.582

3.  Global cancer statistics, 2002.

Authors:  D Max Parkin; Freddie Bray; J Ferlay; Paola Pisani
Journal:  CA Cancer J Clin       Date:  2005 Mar-Apr       Impact factor: 508.702

4.  HMGB1 was a pivotal synergistic effecor for CpG oligonucleotide to enhance the progression of human lung cancer cells.

Authors:  Chunhong Wang; Guangru Fei; Zhongmin Liu; Qinchuan Li; Zengguang Xu; Tao Ren
Journal:  Cancer Biol Ther       Date:  2012-05-23       Impact factor: 4.742

5.  Inflammation-promoting activity of HMGB1 on human microvascular endothelial cells.

Authors:  Carmen Fiuza; Michael Bustin; Shefali Talwar; Margaret Tropea; Eric Gerstenberger; James H Shelhamer; Anthony F Suffredini
Journal:  Blood       Date:  2002-11-27       Impact factor: 22.113

Review 6.  HMGB1 and RAGE in inflammation and cancer.

Authors:  Gary P Sims; Daniel C Rowe; Svend T Rietdijk; Ronald Herbst; Anthony J Coyle
Journal:  Annu Rev Immunol       Date:  2010       Impact factor: 28.527

Review 7.  The role of HMGB1/RAGE in inflammatory cardiomyopathy.

Authors:  Hans C Volz; Ziya Kaya; Hugo A Katus; Martin Andrassy
Journal:  Semin Thromb Hemost       Date:  2010-04-22       Impact factor: 4.180

Review 8.  Extracellular role of HMGB1 in inflammation and sepsis.

Authors:  H Wang; H Yang; K J Tracey
Journal:  J Intern Med       Date:  2004-03       Impact factor: 8.989

9.  Myeloid cell RelA/p65 promotes lung cancer proliferation through Wnt/β-catenin signaling in murine and human tumor cells.

Authors:  D Li; C Beisswenger; C Herr; J Hellberg; G Han; T Zakharkina; M Voss; R Wiewrodt; R M Bohle; M D Menger; R M Schmid; D Stöckel; H-P Lenhof; R Bals
Journal:  Oncogene       Date:  2013-04-08       Impact factor: 9.867

10.  Erlotinib in salvage treatment of patients with advanced non-small cell lung cancer: results of an expanded access programme in Poland.

Authors:  Dariusz M Kowalski; Maciej Krzakowski; Rodryg Ramlau; Piotr Jaskiewicz; Anna Janowicz-Żebrowska
Journal:  Contemp Oncol (Pozn)       Date:  2012-05-29
View more
  14 in total

1.  Interference with HMGB1 increases the sensitivity to chemotherapy drugs by inhibiting HMGB1-mediated cell autophagy and inducing cell apoptosis.

Authors:  Ruiguang Zhang; Yan Li; Zhongliang Wang; Lingjuan Chen; Xiaorong Dong; Xiu Nie
Journal:  Tumour Biol       Date:  2015-06-04

2.  Genomic analysis and differential expression of HMG and S100A family in human arthritis: upregulated expression of chemokines, IL-8 and nitric oxide by HMGB1.

Authors:  Ashok R Amin; Abul B M M K Islam
Journal:  DNA Cell Biol       Date:  2014-06-06       Impact factor: 3.311

3.  Clinical value of serum HMGB1 in diagnosis and prognosis of laryngeal squamous cell carcinoma.

Authors:  Guangbin Qiu; Yunhui Li; Zheng Liu; Mengran Wang; Jingjing Ge; Xiaozhong Bai
Journal:  Med Oncol       Date:  2014-11-06       Impact factor: 3.064

4.  High-mobility group nucleosome-binding protein 1 is a novel clinical biomarker in non-small cell lung cancer.

Authors:  Feng Wei; Fan Yang; Xiangli Jiang; Wenwen Yu; Xiubao Ren
Journal:  Tumour Biol       Date:  2015-06-26

5.  Cell dynamics in tumour environment after treatments.

Authors:  Leili Shahriyari
Journal:  J R Soc Interface       Date:  2017-02       Impact factor: 4.118

Review 6.  The function and mechanism of HMGB1 in lung cancer and its potential therapeutic implications.

Authors:  Lei Wu; Lili Yang
Journal:  Oncol Lett       Date:  2018-03-08       Impact factor: 2.967

7.  Vimentin over-expression and carbonic anhydrase IX under-expression are independent predictors of recurrence, specific and overall survival in non-metastatic clear-cell renal carcinoma: a validation study.

Authors:  A Ingels; M Hew; F Algaba; O J de Boer; R J A van Moorselaar; S Horenblas; P Zondervan; J J M C H de la Rosette; M Pilar Laguna Pes
Journal:  World J Urol       Date:  2016-05-20       Impact factor: 4.226

Review 8.  HMGB1 in health and disease.

Authors:  Rui Kang; Ruochan Chen; Qiuhong Zhang; Wen Hou; Sha Wu; Lizhi Cao; Jin Huang; Yan Yu; Xue-Gong Fan; Zhengwen Yan; Xiaofang Sun; Haichao Wang; Qingde Wang; Allan Tsung; Timothy R Billiar; Herbert J Zeh; Michael T Lotze; Daolin Tang
Journal:  Mol Aspects Med       Date:  2014-07-08

9.  The effect of HMGB1 on the clinicopathological and prognostic features of non-small cell lung cancer.

Authors:  Anlin Feng; Zhenbo Tu; Bingjiao Yin
Journal:  Oncotarget       Date:  2016-04-12

10.  Association between an elevated level of HMGB1 and non-small-cell lung cancer: a meta-analysis and literature review.

Authors:  Quansong Xia; Juan Xu; Huoying Chen; Yanzhang Gao; Feili Gong; Liya Hu; Li Yang
Journal:  Onco Targets Ther       Date:  2016-06-29       Impact factor: 4.147

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.