Skip to main content
Download PDF

Serum anti-SPP1 autoantibody as a potential novel biomarker in detection of esophageal squamous cell carcinoma

BMC Cancer volume 22, Article number: 932 (2022) Cite this article

Abstract

Background

Esophageal squamous cell carcinoma (ESCC) has poor prognosis mainly due to lacking of effective diagnostic biomarkers. Aberrant expression of secreted phosphoprotein 1 (SPP1) protein has been observed in several cancers. The purpose of this study is to assess the feasibility of serum autoantibody to SPP1 in detection of ESCC.

Methods

The SPP1 protein levels in 108 ESCC tissues and 72 adjacent normal tissues were analyzed by immunohistochemistry. Discovery group containing 62 serum samples from ESCC patients and 62 serum samples from normal controls (NC) were used to detect the levels of anti-SPP1 autoantibody by enzyme-linked immunosorbent assay (ELISA). Validation group containing another 100 ESCC and 100 NC serum samples were tested to confirm the levels of autoantibody to SPP1. Western blotting was performed to further confirm the results of ELISA.

Results

SPP1 protein was significantly overexpressed in ESCC tissues compared to adjacent normal tissues. ELISA results showed that serum autoantibody to SPP1 was significantly increased in ESCC compared to NC in both discovery and validation groups. Autoantibody to SPP1 could discriminate patients with ESCC from NC with the area under curve (AUC) values of 0.653 and 0.739 in discovery and validation group, respectively. The results of ELISA and the occurrence of immunoreactivity to SPP1 in ESCC sera were confirmed by western blotting.

Conclusion

Our study indicated the potential significance of anti-SPP1 autoantibody as a novel biomarker for detection of ESCC.

Peer Review reports

Introduction

Esophageal cancer (EC) is a common cancer and threatens the health of people, which ranks the seventh in terms of incidence (604,000 new cases) and the sixth in the leading mortality (544,000 deaths) around the world in 2020 [1]. In China, there were 477,900 new patients and 375,000 deaths of EC which ranked the third cause of cancer-related death [2]. EC can be classified into two major histologic types containing ESCC and esophageal adenocarcinoma (EAC). More than 80% of global ESCC patients was diagnosed in Asia [3].

Despite many advances in the diagnosis and treatment of ESCC, patients with ESCC are usually diagnosed at an advanced stage (III and IV), who have a 5-year survival rate less of 15% and the prognosis is quite poor [4, 5]. However, the 5-year survival rate could reach more than 80% when patients with ESCC are diagnosed at an early stage (I and II) and receive timely treatment [6]. The traditional methods of diagnosing ESCC include mucosa biopsy and endoscopy examination, but these methods are expensive and invasive [7]. Therefore, identifying novel non-invasive biomarkers to improve the diagnosis in ESCC is urgently needed. Previous studies have illustrated that tumor-associated antigens (TAAs) are a category of proteins that aberrantly expressed in cancer, which could elicit the production of autoantibodies to these antigens [8, 9]. Autoantibodies to TAAs in sera from patients are more stable and persistent than other potential biomarkers including the TAAs themselves and can be used as biomarkers in detection of solid tumors [10]. Furthermore, anti-TAAs autoantibodies could be detected at an early stage before the development of clinical symptoms [11]. Therefore, it is crucial to develop anti-TAAs autoantibodies as biomarkers to supplement current screening modalities in detection of ESCC.

SPP1, also known as osteopontin, encoded by the human gene SPP1 is a cytokine upregulating expression of IFN-γ and IL-12, which is a critical mediator in tumor-associated inflammation and promotes metastasis of cancers [12, 13]. Increasing evidence shows that SPP1 is overexpressed and involved in the progression and poor survival of many types of cancers, including hepatocellular carcinoma [14], glioblastoma [15], breast cancer [16], melanoma [17], colorectal cancer [18]. The overexpression of SPP1 could promote programmed death ligand 1 (PD-L1) expression in HCC, which drives HCC metastasis [14]. High PD-L1 expression is associated with tumor aggressiveness and poor prognosis [19]. In ESCC, down-regulated expression of SPP1 can repress cell motility, cell invasion in vitro and tumor formation, lymph node metastasis in nude mice [20]. The five-year survival rate is better in patients without SPP1 expression than that in those with positive SPP1 expression in ESCC. More recently, integrated bioinformatics analysis indicates that the high expression of SPP1 is associated with poor prognosis in ESCC patients [21,22,23].

It has been reported that anti-SPP1 autoantibody is detected in sera of breast and pancreas cancer [24]. However, to date there is no study investigating whether SPP1 protein induces an autoimmune response in ESCC. Here, we aimed to evaluate the potential significance of serum anti-SPP1 autoantibody as a novel biomarker for ESCC detection.

Material and methods

Immunohistochemical (IHC) assay

The ESCC tissue microarrays performed for analyzing the expression of SPP1 protein were obtained from Shanghai Outdo Biotech Co. LTD (No. HEsoS180Su11, Shanghai, China). Additional file 1 showed the clinical information of ESCC patients. Mouse monoclonal anti-SPP1 antibody (1:500 dilution, Abcam, ab69498, Cambridge, UK) was provided as the primary antibody in IHC analysis. Biotin-labeled secondary antibody, the detecting reagents and the specific operations were offered by this company. All the results of IHC analysis were obtained from two independent pathologists. The degree of immunostaining was divided into different scores based on the staining intensity and the percentage of positively stained cells. The staining intensity was graded according to the following criteria: no staining, score 0; weak expression, score 1; moderate staining, score 2; strong staining, score 3. The percentage of staining positive cells was scored as follows: score 0 (0% stained), score 1 (1–25% stained), score 2 (26–50% stained) and score 3 (51–100% stained). The IHC scores were obtained from multiplying the staining intensity scores by the percentage of positive cells scores and ranged from 0 to 9. IHC scores lower than 6 were identified as low expression of SPP1, and scores of 6 to 9 were identified as high expression of SPP1.

Collection of serum samples

Serum samples of two independent groups were used and detailed characteristics were shown in Table 1. In the discovery group (n = 124), there were 62 ESCC serum samples collected from a third-level grade-A hospital (Zhengzhou, China), which were matched 62 normal control serum samples selected from the biological specimen bank of Henan Key Laboratory of Tumor Epidemiology. A separate larger numbers of serum samples from the validation group were used to confirm the results of the discovery group, which consisted of 100 ESCC serum samples and 100 normal controls. All serum samples of ESCC patients who had not received treatments and other malignancies were obtained from new diagnosis by histopathology. All normal controls didn’t have autoimmune and digestive tract-related diseases. The ESCC and NC were matched by 1:1 ratio according to the sex and age (± 5 years). The utilization of human samples was approved by the Ethics Committee of Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University. All participants gave written informed consent to participate in this study.

Table 1 Characterizations of ESCC patients and normal controls used in study
Full size table

Enzyme-linked immunosorbent assay (ELISA)

The recombinant SPP1 protein was obtained from Cloud-Clone Corp (No. RPA899Hu02, Wuhan, China). The autoantibody to SPP1 protein was detected by ELISA written in detail in our previous study [25]. Briefly, the recombinant SPP1 protein was coated to 96-well microliter plates as antigens at concentration of 0.5 µg/ml. The serum samples were used as the primary antibody at the dilution of 1:100. The secondary antibody was mouse anti-human IgG conjugated horseradish peroxidase (HRP) (Wuhan Aoko Biotechnology Co.LTD), which was diluted at 1:5000. Each plate set six duplicate serum samples as quality control and two blank controls to enable the stability and accuracy of optical density (OD) values in all the plates. The OD values read at 450 nm subtracting from that at 620 nm were used for further analysis.

Western blotting

The serum samples of ESCC that were positive response to SPP1 in ELISA were detected by western blotting to confirm the occurrence of immunoreactivity in the sera. Mouse monoclonal anti-SPP1 antibody (1:100 dilution, Abcam, ab69498, USA) was regarded as a positive control. The procedure of western blotting utilized in this study was described in our previous study [26]. In brief, the recombinant SPP1 protein was electrophoresed by 10% SDS-PAGE and transferred onto a nitrocellulose membrane that was then cut into strips and incubated with selected sera diluted at 1:100, subsequently incubated with mouse anti-human IgG conjugated HRP diluted at 1:5000.

Statistical analysis

IBM SPSS Statistics 21.0 and GraphPad 8.0 was used to carry out all statistical analysis. IHC scores of ESCC and adjacent normal tissues were analyzed by independent t test and the correlation between SPP1 expression and clinicopathological features in ESCC patients was performed by χ2 test. Mann–Whitney U test was used to compare differences of the levels of serum autoantibody to SPP1 between ESCC and NC. Differences in positive frequencies of autoantibody to SPP1 between ESCC and NC and in different clinical subgroups were evaluated by the χ2 test. The AUCs of serum autoantibody against SPP1 protein was used for distinguishing ESCC from NC by receiver operating characteristic (ROC) analysis. De Long test was used to analyze AUCs of different clinical subgroups. The relationship between clinicopathological factors and anti-SPP1 autoantibody in patients with ESCC was evaluated by the analysis of independent t test. Mean plus standard deviation (SD) of OD values from NC was regarded as cut-off value. As P value was less than 0.05, the test results were considered statistically significant. All P values were calculated based on two sides.

Results

SPP1 protein was highly expressed in ESCC tissues

The overall design of this study was presented in Fig. 1. The SPP1 protein levels in 108 ESCC tissues and 72 adjacent normal tissues were analyzed by IHC. SPP1 protein was strong positive staining in a representative ESCC tissue compared with weak staining in a paired adjacent normal esophageal tissue (Fig. 2A). According to the final scores of IHC, SPP1 protein was significantly higher in ESCC tissues than that in paired adjacent tissues (n = 72) (Fig. 2B). Based on pathological grades (G1, G2 and G3), SPP1 protein was significantly overexpressed in ESCC tissues compared to adjacent normal tissues (Fig. 2C). Higher PDL1 expression level was observed in ESCC patients with higher SPP1 expression (Fig. 2D). Microscopy images of immunohistochemistry from ESCC tissue microarray ESCC are presented in Supplementary Fig. 1. Table 2 showed the correlation between SPP1 expression and clinicopathological features in ESCC patients, including sex, age, tumor size, lymphatic metastasis and clinical stage, which showed no significant difference. We next explored the mRNA levels of SPP1 in two cohorts from the TCGA and GTEx databases containing 77 human ESCC samples and 1445 normal samples. Consistently, ESCC showed significantly higher expression of SPP1 (Fig. 2E). These results suggested that the expression of SPP1 protein was higher in ESCC tissues than that in adjacent normal tissues, which could elicit the production of autoantibody to SPP1 protein in ESCC.

Fig. 1
figure 1

The overall study design. ESCC, esophageal squamous cell carcinoma; NC, normal control; ELISA, enzyme-linked immunosorbent assay; IHC, immunohistochemistry

Full size image
Fig. 2
figure 2

SPP1 was highly expressed in human ESCC tissues. A Representative IHC staining images of SPP1 in adjacent normal tissue and tumor tissue from ESCC tissue microarray. B Statistical analyses of the IHC scores of SPP1 expression in ESCC tissues and adjacent normal tissues. C The expression profiles of SPP1 in different pathological grades of ESCC tissues. D The expression levels of PDL1 in SPP1high and SPP1low groups. E Transcript levels of SPP1 in 1445 normal tissues and 77 ESCC primary tumors from TCGA and GTEx databases. ESCC, esophageal squamous cell carcinoma; TCGA, The Cancer Genome Atlas; GTEx, Genotype-Tissue Expression. ***P < 0.01; ****P < 0.001

Full size image
Table 2 Correlation between SPP1 expression and clinicopathological features in ESCC patients
Full size table

The positive frequency of autoantibody against SPP1 was higher in ESCC than that in normal controls

The recombinant SPP1 protein was used as the coating antigen in ELISA to detect anti-SPP1 autoantibody in sera from ESCC patients and normal controls. The positive frequency of autoantibody to SPP1 was 45.16% (28/62) in sera from ESCC patients while it was only 16.13% (10/62) in normal human sera in discovery group, which had significantly statistical differences. The positive frequency of anti-SPP1 autoantibody was further confirmed in validation group, which also showed high positive frequency (Table 3). We further evaluate whether the positive frequency of autoantibody to SPP1 had significant differences in different clinical subgroups from ESCC (age, sex, smoking, drinking, lymphatic metastasis, TNM stage, distance metastasis, differentiation, family tumor history). The positive frequencies of autoantibody to SPP1 protein in each clinical subgroup demonstrated no differences (Fig. 3). The cut-off value was set as mean plus SD to determine a positive reaction.

Table 3 Frequency of autoantibody against SPP1 in human serum by ELISA
Full size table
Fig. 3
figure 3

The positive frequency of anti-SPP1 autoantibody in different clinical subgroups of ESCC patients. The clinical subgroups included sex (A), age (B), smoking (C), drinking (D), differentiation (E), clinical stage (F), lymphatic metastasis (G), distant metastasis (H), family tumor history (I). ESCC, esophageal squamous cell carcinoma

Full size image

Autoantibody against SPP1 was relatively increased in ESCC compared to normal controls

Firstly, the levels of autoantibody to SPP1 in sera were detected by ELISA in discovery group with ESCC patients (n = 62) and normal controls (n = 62). Compared to normal controls, autoantibody to SPP1 was significantly increased in patients with ESCC (Fig. 4A). Subsequently, ROC was generated to evaluate the potential significance of autoantibody to SPP1 as a novel biomarker for ESCC detection. ROC analysis demonstrated that autoantibody to SPP1 was obvious to distinguish patients with ESCC from NC, which had an AUC of 0.653 (95%CI: 0.556–0.750) with the sensitivity (Se) of 45.16% and specificity (Sp) of 83.87% (Fig. 4B, Table 4).

Fig. 4
figure 4

Serum anti-SPP1 autoantibodies of ESCC patients and normal controls in discovery group and validation group. A, C The distribution of sera anti-SPP1 autoantibodies in ESCC and NC in discovery group (A) and validation group (C). B, D ROC curve analysis of serum anti-SPP1 autoantibodies for distinguishing ESCC from NC in discovery group (B) and validation group (D). ESCC, esophageal squamous cell carcinoma; NC, normal controls; ROC, receiver operating characteristic. ***P < 0.01; ****P < 0.001

Full size image
Table 4 Autoantibody against SPP1 in the diagnosis of ESCC
Full size table

To further confirm the reproducibility of serum anti-SPP1 autoantibody as a novel biomarker in ESCC patients’ detection. The levels of serum autoantibody to SPP1 were detected in a validation group with 100 ESCC patients and 100 normal controls. Compared with normal controls, we found a significantly higher level of autoantibody response to SPP1 in patients with ESCC (Fig. 4C). Consistently, autoantibody to SPP1 in validation group could obviously discriminate patients with ESCC from NC since the AUC was 0.739 (95%CI: 0.671–0.871) with the sensitivity of 41.00% and the specificity of 87.00% (Fig. 4D, Table 4). Besides, Youden index (YI), predictive value (PV), likelihood ratio (LR) and accuracy were shown in Table 4.

Western blotting confirmed the ELISA results

To further confirm the results of ELISA, we performed western blotting with 15 ESCC sera which were positive in ELISA and 5 normal human sera randomly selected from the discovery and validation groups. The positive control was regarded as quality control. As shown in Fig. 5, the 15 representative ESCC sera showed strong response to SPP1 recombinant protein, which were also positive in ELISA, while 5 normal human sera showed negative response to SPP1 recombinant protein, which were also negative in ELISA. Full-length blots of all strips are presented in Supplementary Fig. 2. The results of western blotting were consistent with the results of ELISA and confirmed the occurrence of immunoreactivity to SPP1 in sera.

Fig. 5
figure 5

Western blotting of anti-SPP1 autoantibody in sera from 15 ESCC patients and 5 normal controls. Lanes 1–15, the cropping strips of 15 representative ESCC sera had strong reactivity with SPP1 recombinant protein, which were also positive in ELISA. Lanes 16–20, the cropping strips of 5 random normal human sera with negative reactivity to SPP1 recombinant protein. Lane 21, anti-SPP1 antibody used as the positive control. SPP1, secreted phosphoprotein 1. ESCC, esophageal squamous cell carcinoma

Full size image

Anti-SPP1 autoantibody was significantly higher in ESCC patients with family tumor history

We divided 162 ESCC patients from the discovery and validation groups into different clinical subgroups according to different variables and tried to explore the levels and the AUCs of anti-SPP1 autoantibody in different subgroups of ESCC, including age, sex, smoking, drinking, differentiation, TNM stage, lymphatic metastasis, distance metastasis and family tumor history. Firstly, Table 5 illustrated that serum level of anti-SPP1 autoantibody was significantly higher in ESCC patients with family tumor history than that in the group without family tumor history (P < 0.01). For other clinicopathologic characteristics, the levels of autoantibody against SPP1 showed no significant difference. Next, the AUCs of ESCC patients with or without family tumor history had statistically significant difference (P < 0.05) while there was no difference in other clinical subgroups in Fig. 6. These results suggested the potential significance of anti-SPP1 autoantibody as a biomarker in detection of ESCC with family tumor history.

Table 5 Relationship between clinicopathological factors and autoantibodies against SPP1 in ESCC patients
Full size table
Fig. 6
figure 6

The ROC curve analysis of anti-SPP1 autoantibody in different clinical subgroups from ESCC patients. The clinical subgroups included male (A) and female (B), <  = 60 (C) and > 60 (D), smoking (E) and no smoking (F), drinking (G) and no drinking (H), Moderate and high differentiation (I) and low differentiation (J), early stage (K) and advanced stage (L), lymphatic metastasis ( +) (M) and lymphatic metastasis (-) (N), distance metastasis ( +) (O) and distance metastasis (-) (P), family tumor history ( +) (Q) and family tumor history (-) (R). ROC, receiver operating characteristic; ESCC, esophageal squamous cell carcinoma

Full size image

Discussion

ESCC still has poor prognosis mainly due to lacking of effective diagnostic biomarkers. In this study, we found that the expression of SPP1 protein was significantly higher in ESCC tissues than that in adjacent normal tissues. The levels of serum autoantibody against SPP1 were significantly higher in patients with ESCC compared to NC in both discovery (62 ESCC VS 62 NC) and validation groups (100 ESCC VS 100 NC). Autoantibody to SPP1 was obvious to distinguish patients with ESCC from NC with the AUCs of 0.653 and 0.739 in discovery and validation group respectively, suggesting that serum anti-SPP1 autoantibody had potential significance to be a novel biomarker for ESCC detection.

SPP1 plays an important role in cancer progression [27,28,29]. The upregulation of SPP1 enhances PDL1 expression and facilitates immune invasion of lung cancer [28]. SPP1 promotes the migration, invasion and cisplatin resistance of lung cancer cells, and overexpression of SPP1 is correlated with tumor grade and poor clinical prognosis [30]. In addition, SPP1 could promote proliferation and inhibit apoptosis in head and neck squamous cell carcinoma [30]. A study indicated that SPP1 is closely related with evolution of tumor cell and change of microenvironment in hepatocellular carcinoma, suggesting that SPP1 may be a key regulator in treatment of cancer [31]. SPP1-CD44 axis could promote cancer stemness in pancreatic cancer [32]. It was reported that lacking of SPP1 inhibits progression by mediating the PI3K/Akt signaling pathway in tongue cancer [33]. Besides, high expression of SPP1 is correlated with poor survival in several cancers [34, 35]. Here, we found that SPP1 protein was highly expressed in ESCC tissues than that in adjacent normal tissues by IHC analysis. Based on the above evidence and the results of IHC, we found that SPP1 is involved in the occurrence of tumor, and thus it could be a tumor-associated antigen occurring in ESCC.

TAAs can be secreted into the blood of patients, which induce immune responses and produce autoantibodies against the TAAs [36]. Anti-TAAs autoantibodies can be detected before the occurrence of clinical symptoms and have great potential to be serum biomarkers for the detection of cancers [37, 38]. There are several autoantibodies reported as serum biomarkers for ESCC patients’ detection. It was reported that anti-Fascin autoantibody was detected in sera from 149 ESCC and 98 NC with the AUC of 0.636. However, this study lacked further validation in another independent group and did not confirm the results of ELISA by western blotting [39]. It was shown that serum anti-MMP7 autoantibody could detect ESCC with the AUC of 0.87, sensitivity of 78% and the specificity of 81% in sera from 50 patients with ESCC and 58 NC, whereas the serum samples in this study were not enough and also lacked further validation [40]. Compared with other studies on evaluating serum autoantibody as a novel biomarker in detection of patients with ESCC, our study had some advantages. Firstly, anti-SPP1 autoantibody could distinguish ESCC patients from normal controls in discovery and validation groups, which made the results of ELISA more dependable. Secondly, western blotting further confirmed the results of ELISA. Thirdly, the elevated anti-SPP1 autoantibody in ESCC sera was consistent with the overexpression of SPP1 protein in ESCC tissue, which made a speculation that the overexpression may trigger strong immune response of SPP1 autoantibody in ESCC patients. Therefore, we demonstrated that autoantibody to SPP1 is a potential biomarker in detection of patients with ESCC.

Upon the availability of clinicopathological features in 162 ESCC patients from the discovery and validation groups, we explore the levels and the AUCs of anti-SPP1 autoantibody in different subgroups of ESCC patients. Then we found the interesting information that serum level of anti-SPP1 autoantibody was significantly higher in ESCC patients with family tumor history, which could distinguish ESCC patients with family tumor history from that without family tumor history. This is partially consistent with similar finding that the inheritance of defective BRCA1 or BRCA2 allele predisposes an individual to develop breast cancer [41]. Our studies indicated that increased anti-SPP1 autoantibody may be more likely to develop ESCC for people with family tumor history. However, more studies are needed to further confirm the findings.

In summary, it is the first study to detect anti-SPP1 autoantibody in ESCC. Our findings provide the evidence that anti-SPP1 autoantibody was significantly elevated in patients with ESCC, which was identify with the overexpression of its matching antigen in ESCC tissues. The diagnostic values of autoantibody to SPP1 in ESCC were verified by two groups to present reliable results, and the results from western blotting were in line with the results of ELISA. These suggested that autoantibody to SPP1 had potential significance to be a novel serum biomarker for detection of patients with ESCC.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

SPP1:

Secreted phosphoprotein 1

ESCC:

Esophageal squamous cell carcinoma

EAC:

Esophageal adenocarcinoma

EC:

Esophageal cancer

NC:

Normal controls

IHC:

Immunohistochemistry

ELISA:

Enzyme-linked immunosorbent assay

AUC:

Area under curve

TAAs:

Tumor-associated antigens

PD-L1:

Programmed death ligand 1

HRP:

Horseradish peroxidase

OD:

Optical density

ROC:

Receiver operating characteristic

SD:

Standard deviation

CI:

Confidence interval

Se:

Sensitivity

Sp:

Specificity

YI:

Youden index

PLR:

Positive likelihood ratio

NLR:

Negative likelihood ratio

PPV:

Positive predictive value

NPV:

Negative predictive value

References

  1. Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global Cancer Statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71(3):209–49.

    Article  PubMed  Google Scholar 

  2. Chen W, Zheng R, Baade PD, Zhang S, Zeng H, Bray F, et al. Cancer statistics in China, 2015. CA Cancer J Clin. 2016;66(2):115–32.

    Article  PubMed  Google Scholar 

  3. Arnold M, Ferlay J, van Berge Henegouwen MI, Soerjomataram I. Global burden of oesophageal and gastric cancer by histology and subsite in 2018. Gut. 2020;69(9):1564–71.

    Article  PubMed  Google Scholar 

  4. di Pietro M, Canto MI, Fitzgerald RC. Endoscopic management of early adenocarcinoma and squamous cell carcinoma of the esophagus: screening, diagnosis, and therapy. Gastroenterology. 2018;154(2):421–36.

    Article  PubMed  Google Scholar 

  5. Horie Y, Yoshio T, Aoyama K, Yoshimizu S, Horiuchi Y, Ishiyama A, et al. Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks. Gastrointest Endosc. 2019;89(1):25–32.

    Article  PubMed  Google Scholar 

  6. Wang GQ, Jiao GG, Chang FB, Fang WH, Song JX, Lu N, et al. Long-term results of operation for 420 patients with early squamous cell esophageal carcinoma discovered by screening. Ann Thorac Surg. 2004;77(5):1740–4.

    Article  PubMed  Google Scholar 

  7. Zhang C, Wang C, Chen X, Yang C, Li K, Wang J, et al. Expression profile of microRNAs in serum: a fingerprint for esophageal squamous cell carcinoma. Clin Chem. 2010;56(12):1871–9.

    Article  CAS  PubMed  Google Scholar 

  8. Tan EM, Zhang J. Autoantibodies to tumor-associated antigens: reporters from the immune system. Immunol Rev. 2008;222:328–40.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Ren P, Ye H, Dai L, Liu M, Liu X, Chai Y, et al. Peroxiredoxin 1 is a tumor-associated antigen in esophageal squamous cell carcinoma. Oncol Rep. 2013;30(5):2297–303.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Zhang JY, Tan EM. Autoantibodies to tumor-associated antigens as diagnostic biomarkers in hepatocellular carcinoma and other solid tumors. Expert Rev Mol Diagn. 2010;10(3):321–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Macdonald IK, Parsy-Kowalska CB, Chapman CJ. Autoantibodies: opportunities for early cancer detection. Trends in cancer. 2017;3(3):198–213.

    Article  CAS  PubMed  Google Scholar 

  12. Young MF, Kerr JM, Termine JD, Wewer UM, Wang MG, McBride OW, et al. cDNA cloning, mRNA distribution and heterogeneity, chromosomal location, and RFLP analysis of human osteopontin (OPN). Genomics. 1990;7(4):491–502.

    Article  CAS  PubMed  Google Scholar 

  13. Lamort AS, Giopanou I, Psallidas I, Stathopoulos GT. Osteopontin as a link between inflammation and cancer: the thorax in the spotlight. Cells. 2019;8(8):815.

    Article  CAS  PubMed Central  Google Scholar 

  14. Zhu Y, Yang J, Xu D, Gao XM, Zhang Z, Hsu JL, et al. Disruption of tumour-associated macrophage trafficking by the osteopontin-induced colony-stimulating factor-1 signalling sensitises hepatocellular carcinoma to anti-PD-L1 blockade. Gut. 2019;68(9):1653–66.

    Article  CAS  PubMed  Google Scholar 

  15. Wei J, Marisetty A, Schrand B, Gabrusiewicz K, Hashimoto Y, Ott M, et al. Osteopontin mediates glioblastoma-associated macrophage infiltration and is a potential therapeutic target. J Clin Investig. 2019;129(1):137–49.

    Article  PubMed  Google Scholar 

  16. GöthlinEremo A, Lagergren K, Othman L, Montgomery S, Andersson G, Tina E. Evaluation of SPP1/osteopontin expression as predictor of recurrence in tamoxifen treated breast cancer. Sci Rep. 2020;10(1):1451.

    Article  CAS  Google Scholar 

  17. Deng G, Zeng F, Su J, Zhao S, Hu R, Zhu W, et al. BET inhibitor suppresses melanoma progression via the noncanonical NF-κB/SPP1 pathway. Theranostics. 2020;10(25):11428–43.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Choe EK, Yi JW, Chai YJ, Park KJ. Upregulation of the adipokine genes ADIPOR1 and SPP1 is related to poor survival outcomes in colorectal cancer. J Surg Oncol. 2018;117(8):1833–40.

    Article  CAS  PubMed  Google Scholar 

  19. Calderaro J, Rousseau B, Amaddeo G, Mercey M, Charpy C, Costentin C, et al. Programmed death ligand 1 expression in hepatocellular carcinoma: relationship with clinical and pathological features. Hepatology (Baltimore, MD). 2016;64(6):2038–46.

    Article  CAS  Google Scholar 

  20. Ito T, Hashimoto Y, Tanaka E, Kan T, Tsunoda S, Sato F, et al. An inducible short-hairpin RNA vector against osteopontin reduces metastatic potential of human esophageal squamous cell carcinoma in vitro and in vivo. Clin Cancer Res. 2006;12(4):1308–16.

    Article  CAS  PubMed  Google Scholar 

  21. Kita Y, Natsugoe S, Okumura H, Matsumoto M, Uchikado Y, Setoyama T, et al. Expression of osteopontin in oesophageal squamous cell carcinoma. Br J Cancer. 2006;95(5):634–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Feng Z, Qu J, Liu X, Liang J, Li Y, Jiang J, et al. Integrated bioinformatics analysis of differentially expressed genes and immune cell infiltration characteristics in esophageal squamous cell carcinoma. Sci Rep. 2021;11(1):16696.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Zhang H, Zhong J, Tu Y, Liu B, Chen Z, Luo Y, et al. Integrated bioinformatics analysis identifies hub genes associated with the pathogenesis and prognosis of esophageal squamous cell carcinoma. Biomed Res Int. 2019;2019:2615921.

    PubMed  PubMed Central  Google Scholar 

  24. Alsarkhi LK, Weber GF. Anti-osteopontin autoantibodies in various types of cancer. Oncol Rep. 2018;40(6):3879–89.

    CAS  PubMed  Google Scholar 

  25. Wang S, Qin J, Ye H, Wang K, Shi J, Ma Y, et al. Using a panel of multiple tumor-associated antigens to enhance autoantibody detection for immunodiagnosis of gastric cancer. Oncoimmunology. 2018;7(8):e1452582.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Wang P, Song C, Xie W, Ye H, Wang K, Dai L, et al. Evaluation of diagnostic value in using a panel of multiple tumor-associated antigens for immunodiagnosis of cancer. J Immunol Res. 2014;2014:512540.

    PubMed  PubMed Central  Google Scholar 

  27. Klement JD, Paschall AV, Redd PS, Ibrahim ML, Lu C, Yang D, et al. An osteopontin/CD44 immune checkpoint controls CD8+ T cell activation and tumor immune evasion. J Clin Investig. 2018;128(12):5549–60.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Zhang Y, Du W, Chen Z, Xiang C. Upregulation of PD-L1 by SPP1 mediates macrophage polarization and facilitates immune escape in lung adenocarcinoma. Exp Cell Res. 2017;359(2):449–57.

    Article  CAS  PubMed  Google Scholar 

  29. Tang H, Chen J, Han X, Feng Y, Wang F. Upregulation of SPP1 is a marker for poor lung cancer prognosis and contributes to cancer progression and cisplatin resistance. Front Cell Dev Biol. 2021;9:646390.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Liu K, Hu H, Jiang H, Liu C, Zhang H, Gong S, et al. Upregulation of secreted phosphoprotein 1 affects malignant progression, prognosis, and resistance to cetuximab via the KRAS/MEK pathway in head and neck cancer. Mol Carcinog. 2020;59(10):1147–58.

    Article  CAS  PubMed  Google Scholar 

  31. Ma L, Wang L, Khatib SA, Chang CW, Heinrich S, Dominguez DA, et al. Single-cell atlas of tumor cell evolution in response to therapy in hepatocellular carcinoma and intrahepatic cholangiocarcinoma. J Hepatol. 2021;75(6):1397–408.

    Article  CAS  PubMed  Google Scholar 

  32. Nallasamy P, Nimmakayala RK, Karmakar S, Leon F, Seshacharyulu P, Lakshmanan I, et al. Pancreatic tumor microenvironment factor promotes cancer stemness via SPP1-CD44 axis. Gastroenterology. 2021;161(6):1998-2013.e7.

    Article  CAS  PubMed  Google Scholar 

  33. Zhang Q, Li L, Lai Y, Zhao T. Silencing of SPP1 suppresses progression of tongue cancer by mediating the PI3K/Akt signaling pathway. Technol Cancer Res Treat. 2020;19:1533033820971306.

    CAS  PubMed  PubMed Central  Google Scholar 

  34. Ji X, Liu Y, Mei F, Li X, Zhang M, Yao B, et al. SPP1 overexpression is associated with poor outcomes in ALK fusion lung cancer patients without receiving targeted therapy. Sci Rep. 2021;11(1):14031.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Wang Y, Zheng K, Chen X, Chen R, Zou Y. Bioinformatics analysis identifies COL1A1, THBS2 and SPP1 as potential predictors of patient prognosis and immunotherapy response in gastric cancer. Biosci Rep. 2021;41(1):20202564.

    Article  Google Scholar 

  36. Chatterjee M, Tainsky MA. Autoantibodies as biomarkers for ovarian cancer. Cancer Biomark. 2010;8(4–5):187–201.

    CAS  PubMed  PubMed Central  Google Scholar 

  37. Bast RC Jr, Lu Z, Han CY, Lu KH, Anderson KS, Drescher CW, et al. Biomarkers and strategies for early detection of ovarian cancer. Cancer Epidemiol Biomarkers Prev. 2020;29(12):2504–12.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Asante DB, Calapre L, Ziman M, Meniawy TM, Gray ES. Liquid biopsy in ovarian cancer using circulating tumor DNA and cells: ready for prime time? Cancer Lett. 2020;468:59–71.

    Article  CAS  PubMed  Google Scholar 

  39. Chen WX, Hong XB, Hong CQ, Liu M, Li L, Huang LS, et al. Tumor-associated autoantibodies against Fascin as a novel diagnostic biomarker for esophageal squamous cell carcinoma. Clin Res Hepatol Gastroenterol. 2017;41(3):327–32.

    Article  CAS  PubMed  Google Scholar 

  40. Zhou JH, Zhang B, Kernstine KH, Zhong L. Autoantibodies against MMP-7 as a novel diagnostic biomarker in esophageal squamous cell carcinoma. World J Gastroenterol. 2011;17(10):1373–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Kehn K, Berro R, Alhaj A, Bottazzi ME, Yeh WI, Klase Z, et al. Functional consequences of cyclin D1/BRCA1 interaction in breast cancer cells. Oncogene. 2007;26(35):5060–9.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

This study was supported by Grants from the Funded Project of International Training of High-level talents in Henan Province, Zhengzhou Major Project for Collaborative Innovation (18XTZX12007), The Project of Basic Research Fund of Henan Institute of Medical and Pharmacological Sciences (No. 2021BP0112) and The Key Scientific and Technological Project of Henan Province (No. 222102310144).

Author information

Authors and Affiliations

  1. School of Basic Medical Sciences & Henan Institute of Medical and Pharmaceutical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, 450052, Henan, China

    Chen Wang, Huimin Wang, Liping Dai, Jianying Zhang & Renle Du

  2. State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, 450052, Henan, China

    Chen Wang, Guiying Sun, Huimin Wang, Liping Dai, Jianying Zhang & Renle Du

  3. Henan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, 450052, Henan, China

    Chen Wang, Guiying Sun, Huimin Wang, Liping Dai & Jianying Zhang

  4. College of Public Health, Zhengzhou University, Zhengzhou, 450052, Henan, China

    Guiying Sun & Renle Du

  5. Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou University, Zhengzhou, 450052, Henan, China

    Liping Dai & Renle Du

Authors
  1. Chen Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Guiying Sun
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Huimin Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Liping Dai
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Jianying Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Renle Du
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

RD and JZ designed the study and edited the writing. CW conducted experiments and drafted the manuscript. GS, HW and LD participated in the data analysis. All authors contributed to the article and approved the submitted version.

Corresponding authors

Correspondence to Jianying Zhang or Renle Du.

Ethics declarations

Ethics approval and consent to participate

The informed consent was obtained from all subjects. The experiments on the use of human tissue samples were carried out in accordance with relevant guidelines and regulations. The Ethics Committee of Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University approved human participants involving in this study. The ethical approval number was 2019003.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1:

Table S1. The clinicopathologic characteristics in 108 ESCC patients.

Additional file 2.

Microscopy images of Immunohistochemistry from ESCC tissue microarray.

Additional file 3.

 The uncropped images of western blotting strips of 20 sera in ELISA and a positive control.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, C., Sun, G., Wang, H. et al. Serum anti-SPP1 autoantibody as a potential novel biomarker in detection of esophageal squamous cell carcinoma. BMC Cancer 22, 932 (2022). https://doi.org/10.1186/s12885-022-10012-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12885-022-10012-9

Keywords

BMC Cancer

ISSN: 1471-2407

Contact us