Abstract
Colorectal cancer (CRC) is one of the most frequent malignant neoplasms worldwide. Up to now, no biomarker has been used to predict the prognosis and surveillance of patients with CRC. Recently, the association between osteopontin (OPN) overexpression and the prognosis of CRC was investigated widely, but the results were inconsistent. Therefore, the aim of present meta-analysis was to assess the prognostic effect of osteopontin in patients with CRC. PubMed, EMBASE, Web of Science, Scopus and Chinese Medical Database were systematically searched. A total of 15 studies containing 1698 patients were included in our meta-analysis. The pooled data of studies showed that high OPN expression was significantly associated with high tumor grades (OR = 2.24, 95% CI 1.55–3.23), lymph node metastasis (OR = 2.36, 95% CI 1.71–3.26) and tumor distant metastasis (OR = 2.38, 95% CI 1.01–5.60). Moreover, high OPN expression was significantly associated with the 2-year (HR 1.97, 95% CI 1.30–3.00), 3-year (HR 1.82, 95% CI 1.24–2.68), 5 year (HR 1.53, 95% CI 1.28–1.82) survival rates and overall survival (OS, HR 1.70, 95% CI 1.12–2.60), respectively. These results indicated that OPN could serve as a prognostic biomarker and as a potential therapeutic target for CRC.
Colorectal cancer (CRC) is one of the most frequent malignant neoplasms worldwide and also one of the leading causes of cancer-related mortality1. Though early diagnosis and clinical treatment could improve the prognosis of CRC patients, patients with distant metastasis, remains very poor. So it is essential for us to find a new molecular marker that could predict and improve the prognosis and reduce the mortality of patients with CRC.
Osteopontin (OPN) is a multifunctional phosphoprotein, which could be secreted by a variety of cells, such as lymphocytes, macrophages and osteoclasts2,3,4. Recent studies reported that OPN overexpression has been detected in many human carcinomas, for example, lung cancer, breast cancer, gastric cancer, hepatocellular carcinoma, colorectal cancer5,6,7,8,9 and so on. It is suggested that OPN levels in blood or tumor samples may be valuable for predicting the prognosis of carcinomas, and the inhibition of OPN might be helpful for the treatment of patients with carcinoma. But the association of OPN overexpression with the prognosis of CRC was not clear, so the objective of present meta-analysis was to determine the possible role of OPN expression in the progression and prognosis of CRC patients.
Materials and Methods
Literature search and study selection
PubMed, EMBASE, Web of Science, Scopus and Chinese Medical Database were searched to identify the potential articles related to CRC and OPN up to September 30, 2014. The search of published articles was undertaken using the following terms: “opn”, “osteopontin”, “spp1”, “colorectal”, “colon” and “rectal”.
The results were only from English or Chinese articles. The reference lists and all retrieved articles were also screened for additional relevant articles. The studies collected in present meta-analysis should meet the following criteria: (1) the patients with colorectal cancer were confirmed; (2) the OPN expression levels of the patients were measured; (3) the association of OPN expression with tumor grades, recurrences or survival was evaluated; (4) the sufficient data were provided for estimating the hazard ratios (HRs) or odds ratios (ORs) and their 95% confidence intervals (95% CIs); (5) the articles were written in English or Chinese. For duplicate articles with identical or overlapping data, only the one with biggest sample size or the most recent one was included in the meta-analysis. Conference abstracts, case reports, reviews, editorial letters, abstracts and comments were excluded.
Data extraction and Quality Assessment
Two investigators (Mingfei Zhao and Feng Liang) independently extracted data from the relevant articles. Disagreement between two investigators was settled through discussion until consensus was reached. Table 1 indicated that the names of authors, years of publication, number of patients, assay methods, sample source, tumor grade, survival rate, OPN expression levels and cutoff value were retrieved from each publication. The Newcastle–Ottawa Scale with several modifications was used to access the quality of the included studies in Table 210. The scale was categorized into three main dimensions: the patient selection, the study comparability and the outcome. Studies with NOS scores >6 were considered to be high quality.
Table 1. Characteristics of studies for association between OPN and colorectal cancers.
Study/Year (Reference) | Tumor site | Sample size | Sample source | Tumor grade (I–II/III–IV) | OPN Detection method | cut-off level of ‘high’ OPN expression | No. of patients with ‘high’ OPN | Follow-up duration (months) | Survival rate (%) |
Study quality (Points) | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2-year |
3-year |
5-year |
|||||||||||||
Low OPN | High OPN | Low OPN | High OPN | Low OPN | High OPN | ||||||||||
Rohde F 2007 | colon | 120 | Tissue | NR | RT-PCR | ≥9-fold | 39 | 44–131 | 88.9 | 66.7 | 82.7 | 53.8 | 77.8 | 51.3 | 8/9 |
Chen SH 2007 | colorectal | 60 | Tissue | 20/40 | IHC | >10% | 40 | NR | NR | NR | NR | NR | NR | NR | 6/9 |
Wang XF 2008 | colon | 60 | Tissue | 17/43 | IHC | IRS ≥ 4 | 43 | NR | NR | NR | NR | NR | NR | NR | 6/9 |
Chen Y 2009 | colorectal | 76 | Serum | NR | Elisa | >157.9 ng/ml | 38 | NR | NR | NR | NR | NR | NR | NR | 6/9 |
Likui W 2010 | colorectal | 84 | Tissue | 75/9 | RT-PCR | >value of 0.276 | 42 | 60 | 92.9 | 71.4 | 83.3 | 52.4 | 71.4 | 45.2 | 7/9 |
Wild N 2010 | colorectal | 265 | Serum | NR | Elisa | >specificity of 95% | 80 | NR | NR | NR | NR | NR | NR | NR | 6/9 |
Lin AY 2011 | colorectal | 154 | Tissue | NR | IHC | IRS ≥ 2 | 90 | 7–184 | 60.6 | 53.3 | 52.5 | 48.9 | 47.5 | 37.8 | 8/9 |
Zhao M 2011 | colorectal | 30 | Tissue | NR | IHC | IRS ≥ 4 | 23 | NR | NR | NR | NR | NR | NR | NR | 6/9 |
Jing LI 2012 | colorectal | 77 | Tissue | 57/20 | IHC | >10% | 38 | NR | NR | NR | NR | NR | NR | NR | 6/9 |
Sun L 2012 | colorectal | 213 | Tissue | 186/25 | IHC | IRS ≥ 2 | 76 | NR | NR | NR | NR | NR | NR | NR | 6/9 |
Yang LJ 2012 | colorectal | 60 | Tissue | 17/43 | IHC | IRS ≥ 1 | 43 | NR | NR | NR | NR | NR | NR | NR | 6/9 |
Uhlmann ME 2012 | colorectal | 118 | Tissue | NR | RT-PCR | >75% quantile | 26 | 133 | 92.2 | 76.9 | 89.6 | 73.1 | 74.0 | 69.2 | 8/9 |
Rao G 2013 | colorectal | 190 | Tissue | 138/52 | IHC | Moderate staining | 124 | 60 | 66.7 | 40.3 | 54.5 | 27.4 | 54.5 | 25.8 | 8/9 |
Viana Lde S 2013 | colorectal | 114 | Tissue | NR | IHC | IRS > 4 | 103 | NR | NR | NR | NR | NR | NR | NR | 6/9 |
Wang CJ 2014 | colorectal | 76 | Tissue | 34/42 | IHC | IRS > 3 | 39 | NR | NR | NR | NR | NR | NR | NR | 6/9 |
RT-PCR, reverse transcription-polymerase chain reaction; IHC, immunohistochemistry; Elisa, enzyme-linked immunosorbent assay; IRS: immunoreactive score, NR: not reported; OPN: osteopontin.
Table 2. Newcastle-Ottawa quality assessment scale.
Selection |
---|
(1) Representativeness of the exposed cohort |
(a) Truly representative of the average patients with colorectal cancers in the community* |
(b) Somewhat representative of the average patients with colorectal cancers in the community* |
(c) Selected group of users (e.g., nurses, volunteers) |
(d) No description of the derivation of the cohort |
(2) Selection of the non exposed cohort |
(a) Drawn from the same community as the exposed cohort* |
(b) Drawn from a different source |
(c) No description of the derivation of the non exposed cohort |
(3) Ascertainment of exposure (Proof of colorectal cancers and osteopontin measurement) |
(a) Secure record (e.g., surgical records)* |
(b) Structured interview* |
(c) Written self report |
(d) No description |
(4) Demonstration that outcome of interest was not present at start of study |
(a) Yes* |
(b) No |
Comparability |
(1) Comparability of cohorts on the basis of the design or analysis |
(a) Study controls for recurrence or metastasis* |
(b) Study controls for any additional factor (Age, gender, grade, KPS score, etc.)* |
Outcome |
(1) Assessment of outcome |
(a) Independent blind assessment* |
(b) Record linkage* |
(c) Self report |
(d) No description |
(2) Was follow-up long enough for outcomes to occur? (Death or recurrence) |
(a) Yes (60 months)* |
(b) No |
(3) Adequacy of follow up of cohorts |
(a) Complete follow up- all subjects accounted for* |
(b) Subjects lost to follow up unlikely to introduce bias-small number lost- (25%) follow up, or description provided of those lost)* |
(c) Follow up rate (<75%) and no description of those lost |
(d) No statement |
A maximum of one star (*)*: can be given for each numbereditem within the ‘Selection’ and ‘Outcome’ categories. While a maximum of twostars**: can be given for ‘Comparability’.
Statistical analysis
Odds ratios (ORs) with 95% CI were utilized to evaluate the association of OPN expression levels with clinical parameters, while the hazard ratios (HRs) with 95% CI were utilized to analyze the association of OPN expression levels with survival rates. The association of OPN expression levels with overall survival (OS) was also evaluated by HRs with 95% CI. Subgroup analysis was also performed to evaluate the differences between ORs and HRs in collected studies with different detection methods, i.e., immunohistochemistry (IHC), reverse transcription-polymerase chain reaction (RT-PCR) or enzyme-linked immunosorbent assay (ELISA). Heterogeneity of pooled results was assessed using Cochrane’s Q test and I2 measurement. P > 0.10 or I2 < 50% indicated that the heterogeneity was not significant, and then a fixed-effects model was used. Otherwise, a random effect model was used. Sensitivity analysis was conducted to evaluate the validity and reliability of present meta-analysis. Begg’s funnel plot and Egger’s test were used to evaluate the publication bias risk. All statistical analyses were performed using STATA version 11.0 (STATA Corporation, College Station, TX, USA), and all P values were two sides.
Results
Studies selection and the characteristics of the included studies
A total of 1150 studies were identified using the strategy described above. The detailed screening process was shown in Fig. 1. After careful screening of the titles and abstracts, 30 articles were retained. After reviewing the full text, 15 studies were excluded due to the duplicated data or insufficient data. At last, 15 studies9,11,12,13,14,15,16,17,18,19,20,21,22,23,24 were included in our meta-analysis according to the inclusion criteria (Fig. 1). A total of 1698 patients were included, containing 844 patients (49.7%) with ‘high’ OPN. The basic characteristics of the included studies are shown in Table 1.
OPN expression and clinicopathological features
In Fig. 2a, the pooled data of eight studies showed that high OPN expression was significantly associated with tumor grades (OR = 2.24, 95% CI = 1.55–3.23), and no significant heterogeneity between studies were observed (I2 = 10.6%, P = 0.348). Figure 2b indicated there was no significant publication bias (P = 0.871). The sensitive analysis was performed by removing studies one by one, and it was found that removal of any individual study did not alter the overall trend, suggesting that the results in present meta-analysis were statistically robust (Fig. 2c).
Five studies reported the association of the depth of tumor invasion with OPN expression. In Fig. 3a the results of pooled analysis showed no significant association between OPN expression and the depth of tumor invasion (OR = 1.37, 95% CI = 0.84–2.22) and no significant heterogeneity (I2 = 44.0%, P = 0.129). Seven studies demonstrated the association of OPN expression with lymph node metastasis. The combined data of the included studies showed the significant association between high OPN expression and lymph node metastasis (OR = 2.36, 95% CI = 1.17–3.26), and no heterogeneity between studies (I2 = 18.9%, P = 0.286) in Fig. 3b. Six studies reported the association between OPN expression and tumor distant metastasis in Fig. 3c, there was correlation between high OPN expression and tumor distant metastasis (OR = 2.38, 95% CI = 1.01–5.60), but there was significant heterogeneity among these studies (I2 = 73.8%, P = 0.000). The results of Begg’s funnel plot and Egger’s test showed no publication bias in Fig. S1. Sensitivity analysis was also conducted and the overall trend was not changed when the studies were removed one by one (Fig. S2).
OPN expression and survival rates of patients with CRC
Fig. 4 exhibited that high OPN expression was significantly associated with the 2-year (HR 1.97, 95% CI 1.30–3.00), 3-year (HR 1.82, 95% CI 1.24–2.68), and 5 year (HR 1.53, 95% CI 1.28–1.82) survival rates in colorectal cancer patients, respectively. In addition, five studies contained sufficient data for analyzing the relationship between OPN expression and overall survival (OS) in patients with colorectal cancer. There was significant association of high OPN expression with OS (HR 1.70, 95% CI 1.12–2.60), but there was significant heterogeneity (I2 = 75.0%, P = 0.011). Begg’s funnel plot and Egger’s test were performed, and no publication bias was found in Fig. S3. Sensitivity analysis was conducted and the overall trend was not changed by removing the studies one by one in Fig. S4.
Subgroup analysis based on different detection methods
A subgroup analysis on the basis of different detection methods was performed to assess the association of OPN expression with tumor grade and survival rates respectively, owing to the various OPN detection methods used in the included studies. Fig. S5a determined that tumor grade was correlated with OPN expression detected by IHC (OR 2.33, 95% CI 1.60–3.41). Moreover, OPN expression detected by IHC or RT-PCR was significantly related to 5-year survival rate and overall survival of patients with CRC in Fig. S5b and Fig. S5c.
Discussion
CRC is one of the most prevalent cancers worldwide. Recently the mortality of CRC has decreased significantly owing to the progression in screening of CRC, but till now the prognosis of patients with advance tumor remains very poor25. Some clinicopathological parameters, such as carcinoembryonic antigen (CEA) and CA19–9, have been used for screening and monitoring CRC26,27; however, these parameters remain controversial for predicting the prognosis and surveillance of CRC patients. Thus, it is necessary for us to identify novel molecular biomarkers for predicting the development and prognosis of patients with CRC.
OPN, a secreted multifunctional glyco-phosphoprotein, was identified to play a key role in tumorigenesis, progression and prognosis of a variety of malignant tumors5,6,7,8,9. Many studies have reported the association between OPN expression and CRC, but results in these studies were not uniform9,11,12,13,14,15,16,17,18,19,20,21,22,23,24. The aim of present meta-analysis was to evaluate the prognosis value of OPN in patients with CRC.
Our meta-analysis includes 15 studies with 1698 CRC patients, several clinicopathological features were significantly associated with OPN expression. Firstly, the results of pooled analysis on the relationship of OPN expression with CRC tumor grade suggested the significant association between high OPN expressions and the high tumor grade. Secondly, the association of OPN expression with the depth of tumor invasion was analyzed. An evident trend toward higher OPN expression with the deeper tumor invasion was identified, though there was no statistically significant difference. Also the results of present meta-analysis showed that high OPN expression was closely related to tumor metastasis, including lymph node metastasis and distant metastasis. Taken together, the pooled data of present meta-analysis supported the hypothesis that high OPN expression might promote CRC invasion and metastasis, leading to the poor prognosis of patients with CRC. Thirdly, the association of high OPN expression with survival of patients with CRC was evaluated. OPN expression was significantly associated with the 2-year, 3-year, and 5-year survival rates, respectively. And the OS was markedly shorter in patients with OPN overexpression. The subgroup analysis stratified by three different detection methods demonstrated that OPN expression detected by IHC was significantly associated with tumor grade, OPN expression detected by IHC or RT-PCR was correlated with both 5-year survival rate and overall survival in patients with CRC. Therefore, OPN can serve as a biomarker for CRC prognosis, and the measurement of OPN expression in CRC patients could be helpful for guiding the clinical treatment of CRC patients.
There are some possible limitations in the present meta-analysis. Firstly, the sample size of studies included in this meta-analysis was relatively small. Secondly, the difference in the cutoff levels of OPN expression among diverse studies may impact on the accurate estimation of prognosis for CRC, because different cutoff of OPN expression may lead to diametrically opposite results. For example, Likui W et al.9 found OPN expression detected by RT-PCR was an independent prognostic factor for the prognosis of CRC patients (P = 0.008). While another study using the same detection method indicated that OPN expression was not a good biomarker for the prognosis of CRC patients (P = 0.092)28. Although the latter study28 only focused on the stage II colon cancer which might be a possible explanation for this difference, the different cutoff of OPN expression may an important interference factor. In future, a large multicenter study using the same detection method and cutoff of OPN expression may be helpful to obtain more accurate results. Thirdly, there are clinical and genetic differences between colon tumors and rectum tumors. However, there are only two studies focused on the colon cancer11,13, other 13 studies in present meta-analysis did not stratified by tumor sites9,12,14,15,16,17,18,19,20,21,22,23,24, and this may be the source of heterogeneity.
In conclusion, the results of present meta-analysis demonstrated that OPN expression might be significantly associated with tumor grade, invasion, metastasis, and survival of CRC patients, although the cut-off value of high OPN should be further studied. Moreover, the Elisa assay of blood may be the best way for OPN detection, which is a relatively noninvasive, objective and accurate assay without operation. OPN can be used to evaluate clinic-pathology of tumor in preoperative and for the surveillance of tumor recurrence postoperative. However, additional large prospective studies with optimal cut-off values of high OPN should be performed to determine our findings in future.
Additional Information
How to cite this article: Zhao, M. et al. The impact of osteopontin on prognosis and clinicopathology of colorectal cancer patients: a systematic meta-analysis. Sci. Rep. 5, 12713; doi: 10.1038/srep12713 (2015).
Supplementary Material
Acknowledgments
The work was funded by grants from the National Natural Science Foundation of China (No. 81200956, 81171096 and 81371433). This manuscript has been copyedited by Dr Jiliang He (Institutes of Environmental Medicine, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China).
Footnotes
Author Contributions Z.J.M. and Y.W. designed the experiments, Z.M.F. and L.F. analyzed the data, Z.M.F., L.F. and Z.B.Y. wrote the paper. All authors reviewed the manuscript.
References
- Siegel R. L., Jemal A., Thun M. J., Hao Y. & Ward E. M. Trends in the incidence of colorectal cancer in relation to county-level poverty among blacks and whites. J Natl Med Assoc. 100, 1441–4 (2008). [DOI] [PubMed] [Google Scholar]
- Bandopadhyay M. et al. Osteopontin as a therapeutic target for cancer. Expert Opin Ther Targets. 18, 883–95 (2014). [DOI] [PubMed] [Google Scholar]
- Ashkar S. et al. Eta-1 (osteopontin): an early component of type-1 (cell-mediated) immunity. Science. 287, 860–4 (2000). [DOI] [PubMed] [Google Scholar]
- Shin T. Osteopontin as a two-sided mediator in acute neuroinflammation in rat models. Acta Histochem. 114, 749–54 (2012). [DOI] [PubMed] [Google Scholar]
- Zhang J. et al. Differential osteopontin expression in lung cancer. Cancer Lett. 171, 215–22 (2001). [DOI] [PubMed] [Google Scholar]
- Bramwell V. H. et al. Assessment of osteopontin in early breast cancer: correlative study in a randomised clinical trial. Breast Cancer Res. 16, R8 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kim J. Y., Bae B. N., Kim K. S., Shin E. & Park K. Osteopontin, CD44, and NFkappaB expression in gastric adenocarcinoma. Cancer Res Treat. 41, 29–35 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shang S. Identification of osteopontin as a novel marker for early hepatocellular carcinoma. Hepatology. 55, 483–90 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Likui W., Hong W. & Shuwen Z. Clinical significance of the upregulated osteopontin mRNA expression in human colorectal cancer. J Gastrointest Surg. 14, 74–81 (2010). [DOI] [PubMed] [Google Scholar]
- Zhao M., Xu H., Liang F., He J. & Zhang J. Association of osteopontin expression with the prognosis of glioma patient: a meta-analysis. Tumour Biol. 36, 429–36 (2015). [DOI] [PubMed] [Google Scholar]
- Rohde F. et al. Expression of osteopontin, a target gene of de-regulated Wnt signaling, predicts survival in colon cancer. Int J Cancer. 121, 1717–239 (2007). [DOI] [PubMed] [Google Scholar]
- Chen S. H., Feng Z. J., Jiang W., Chen F. & Sun X. W. Expression of osteopontin and p21 inprimary colorectal cancer and their clinical significance. Modern Oncology. 115, 1132–1134 (2007). [Google Scholar]
- Wang X. F., Ni Y. H., Wang B., Zhang M. & Guo X. R. Expression and significance of osteopontin in colon cancer tissues. Jiang Su Med J. 34, 129–130 (2008). [Google Scholar]
- Chen Y. et al. Clinical significance of combined diagnostic tests of serum markers in detecting metastasis colorectal cancer. Clinical Medical Journal of China. 16, 94–96 (2009). [Google Scholar]
- Wild N. et al. A combination of serum markers for the early detection of colorectal cancer. Clin Cancer Res. 16, 6111–21 (2010). [DOI] [PubMed] [Google Scholar]
- Zhao M., Yang B., Huang L. & F X. Q. Expression of osteopontin and matrix metalloproteinase-9 in the colorectal cancer and its clinical significance. J Shanxi Med Univ. 42, 379–382 (2011). [Google Scholar]
- Lin A. Y. et al. Comparative profiling of primary colorectal carcinomas and liver metastases identifies LEF1 as a prognostic biomarker. PLoS One. 6, e16636; 10.1371/journal.pone.0016636 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yang L. J. & Chen Z. Correlation between the expression of OPN and MMP-9 in colorectal cancer and liver metastasis. Contemporary Medicine. 18, 7–9 (2012). [Google Scholar]
- Li J., Yang G. Z., Zhu Z. M., Zhou Z. Y. & Li L. Osteopontin is overexpressed in colorectal carcinoma and is correlated with P53 by immunohistochemistry. Exp Ther Med. 3, 621–624 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sun L. et al. Combination of haptoglobin and osteopontin could predict colorectal cancer hepatic metastasis. Ann Surg Oncol. 19, 2411–9 (2012). [DOI] [PubMed] [Google Scholar]
- Uhlmann M. E., Georgieva M., Sill M., Linnemann U. & Berger M. R. et al. Prognostic value of tumor progression-related gene expression in colorectal cancer patients. J Cancer Res Clin Oncol. 138, 1631–40 (2012). [DOI] [PubMed] [Google Scholar]
- Rao G. et al. Reciprocal interactions between tumor-associated macrophages and CD44-positive cancer cells via osteopontin/CD44 promote tumorigenicity in colorectal cancer. Clin Cancer Res. 19, 785–97 (2013). [DOI] [PubMed] [Google Scholar]
- Wang C. J., Yang G. G., Ding J. & Liao X. J. Expression and Clinical Significance of Gli1 and OPN in Colorectal Cancer. J Med Res. 43, 135–137 (2014). [Google Scholar]
- Viana Lde S. et al. Relationship between the expression of the extracellular matrix genes SPARC, SPP1, FN1, ITGA5 and ITGAV and clinicopathological parameters of tumor progression and colorectal cancer dissemination. Oncology. 84, 1–91 (2013). [DOI] [PubMed] [Google Scholar]
- Ratto C. et al. Prognostic factors in colorectal cancer. Literature review for clinical application. Dis Colon Rectum. 41, 1033–49 (1998). [DOI] [PubMed] [Google Scholar]
- Lee I. K. et al. Prognostic value of CEA and CA 19-9 tumor markers combined with cytology from peritoneal fluid in colorectal cancer. Ann Surg Oncol. 16, 861–70 (2009). [DOI] [PubMed] [Google Scholar]
- Cardella J. et al. Compliance, attitudes and barriers to post-operative colorectal cancer follow-up. J Eval Clin Pract. 14, 407–15 (2008). [DOI] [PubMed] [Google Scholar]
- Nitsche U. et al. Integrative marker analysis allows risk assessment for metastasis in stage II colon cancer. Ann Surg. 256, 763–71 (2012). [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.