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Analysis of PAX8 immunohistochemistry in lung cancers: a meta-analysis
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Original Article
Analysis of PAX8 immunohistochemistry in lung cancers: a meta-analysis
Jae Han Jeong1orcid, Nae Yu Kim,2orcid, Jung-Soo Pyo,3orcid
Journal of Pathology and Translational Medicine 2020;54(4):300-309.
DOI: https://doi.org/10.4132/jptm.2020.06.08
Published online: July 10, 2020

1Department of Thoracic and Cardiovascular Surgery, Chosun University Hospital, Chosun University School of Medicine, Gwangju, Korea

2Department of Internal Medicine, Daejeon Eulji University Hospital, Eulji University School of Medicine, Daejeon, Korea

3Department of Pathology, Daejeon Eulji University Hospital, Eulji University School of Medicine, Daejeon, Korea

Corresponding Author: Nae Yu Kim, MD, Department of Internal Medicine, Daejeon Eulji University Hospital, Eulji University School of Medicine, 95 Dunsanseo-ro, Seo-gu, Daejeon 35233, Korea Tel: +82-42-611-3043, Fax: +82-42-611-3853, E-mail: 'naeyu46@eulji.ac.kr'
Corresponding Author: Jung-Soo Pyo, MD, Department of Pathology, Daejeon Eulji University Hospital, Eulji University School of Medicine, 95 Dunsanseo-ro, Seo-gu, Daejeon 35233, Korea Tel: +82-42-611-3895, Fax: +82-42-611-3459, E-mail: 'anapyojs@gmail.com'
• Received: April 10, 2020   • Revised: May 24, 2020   • Accepted: June 8, 2020

© 2020 The Korean Society of Pathologists/The Korean Society for Cytopathology

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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  • Background
    In this meta-analysis, we aimed to evaluate the PAX8 immunohistochemical expressions in primary lung cancers and metastatic cancers to the lung.
  • Methods
    We identified and reviewed relevant articles from the PubMed databases. Ultimately, 18 articles were included in this meta-analysis. PAX8 expression rates were analyzed and compared between primary and metastatic lung cancers.
  • Results
    The PAX8 expression rate in primary lung cancers was 0.042 (95% confidence interval [CI], 0.025 to 0.071). PAX8 expression rates of small cell (0.129; 95% CI, 0.022 to 0.496) and non-small cell carcinomas of the lung (0.037; 95% CI, 0.022 to 0.061) were significantly different (p=.049 in a meta-regression test). However, the PAX8 expression rates of adenocarcinoma (0.013; 95% CI, 0.006 to 0.031) and squamous cell carcinoma (0.040; 95% CI, 0.016 to 0.097) were not significantly different. PAX8 expression rates of metastatic carcinomas to the lung varied, ranging from 1.8% to 94.9%. Metastatic carcinomas from the lung to other organs had a PAX8 expression rate of 6.3%. The PAX8 expression rates of metastatic carcinomas from the female genital organs, kidneys, and thyroid gland to the lung were higher than those of other metastatic carcinomas.
  • Conclusions
    Primary lung cancers had a low PAX8 expression rate regardless of tumor subtype. However, the PAX8 expression rates of metastatic carcinomas from the female genital organs, kidneys, and thyroid were significantly higher than those of primary lung cancers.
Although various targeted therapies have been developed and applied in lung cancers, a detailed diagnosis of tumor type is important to identify precise treatment [1]. Primary lung tumors includes small and non-small cell lung cancers (20% and 80%, respectively) [2]. However, the lung is a common metastatic site for metastatic extrapulmonary carcinomas [3]. Differential diagnosis between primary lung cancers and metastatic carcinomas to the lung is challenging in some cases due to similar histologic findings or poorly differentiated tumors [4]. Although thyroid transcription factor 1 (TTF-1) and Napsin A are useful markers for primary lung adenocarcinoma [4-7], complete differentiation between primary lung cancers and metastatic carcinomas to the lung may be limited. Additional precise markers are needed in daily practice.
The paired box transcription factor PAX8 has long been studied in malignant tumors of the lung [4,7-24]. PAX8, which includes a family of cell-lineage transcription factors, is involved in the organogenesis of the thyroid gland and kidney as well as the Müllerian system. PAX8 can be expressed in the neoplastic cells of associated organs and is expressed both in the normal tissues and tumors from these organs [25-29]. In previous studies, high PAX8 expression levels have been shown in kidney, thyroid, ovarian, endometrial, and endocervical carcinomas [25-32]. Although PAX8 expression of primary lung cancers was absent in some reports, variable PAX8 expression rates in primary lung cancers has been reported [4,7-24]. PAX8 expression in normal lung tissue is unclear. In normal lung tissue, various cell types are present, including bronchial epithelium, pneumocytes, submucosal glands, neuroendocrine cells, and lymphocytes, and each has a different PAX8 expression pattern. Moreover, studies have reported PAX8 expression in normal B lymphocytes [14,18]. These results make interpretation of PAX8 expression in the lung difficult, necessitating a meta-analysis to obtain conclusive information.
Because various malignant tumors including metastatic tumors can occur in the lung, a comparison of PAX8 expression between primary lung cancers and metastatic carcinomas to the lung is needed. In addition, detailed information based on tumor subtypes is not available. In this meta-analysis, we investigated PAX8 immunohistochemical expression rates in primary lung cancers and metastatic carcinomas to the lung as well as in various tumor subtypes of primary lung cancers. Subgroup analysis for PAX8 expression based on the origin of the metastatic carcinomas was also performed.
Database search and selection criteria Relevant articles were extracted from the PubMed database through January 31, 2020 using the following keywords: “PAX8,” “immunohistochemistry or immunohistochemical,” and “cancer or carcinoma.” The titles and abstracts of all searched articles were screened. The included articles had information for PAX8 immunohistochemistry of primary lung cancers and metastatic cancers to the lung and metastatic carcinomas from the lung. Additionally, studies on metastatic lung cancers in other organs were included. However, case reports, non-original articles, or articles written in non-English were excluded. We followed PRISMA guidelines.
Data extraction
Data on the PAX8 immunohistochemical expressions of primary lung cancers and metastatic cancers to the lung and metastatic carcinomas from the lung were extracted from each eligible study [4,8-24]. All data were extracted by two independent authors. The extracted data included the authors’ information, study location, number of patients analyzed, antibody information (manufacturer and clonality), tumor subtypes and PAX8 expression rates.
Statistical analyses
The meta-analysis was performed using the Comprehensive Meta-Analysis software package (Biostat, Englewood, NJ, USA). The PAX8 expression rates of various primary lung cancers and metastatic cancers to the lung and the metastatic carcinomas from the lung were investigated. In addition, subgroup analysis was performed based on tumor subtypes of the primary lung cancers and the metastatic carcinoma from the lung. Heterogeneity between studies was checked using Q and I2 statistics and is expressed as p-values. Additionally, sensitivity analysis was conducted to assess the heterogeneity of eligible studies and the impact of each study on the combined effects. In the meta-analysis, because the eligible studies used various evaluation criteria and PAX8 antibodies, a random-effect model was more suitable than a fixed-effect model. To assess publication bias, Begg’s funnel plot and Egger’s test were used. If significant publication bias was found, the fail-safe N and trim-fill tests were additionally used to confirm the degree of publication bias. The results were considered statistically significant at p<.05.
Selection and characteristics of the studies
In this study, 457 relevant articles were extracted from the PubMed database and reviewed for meta-analysis. Of these, 265 articles with no or insufficient information for a meta-analysis and 122 non-original articles were excluded. Furthermore, 52 articles were excluded for the following reasons: in a language other than English (n=24), on other diseases (n=19), and involving non-human subjects (n=9) (Fig. 1). Finally, 18 eligible articles were selected and included in this meta-analysis. These studies included 3,238 patients with primary and metastatic lung cancers (Table 1).
PAX8 expression in primary lung cancers and metastatic cancers to the lung
PAX8 expression rates were estimated in primary lung cancers, including small cell and non-small cell carcinomas. The PAX8 expression rate of overall primary lung cancers was 0.042 (95% confidence interval [CI], 0.025 to 0.071). The PAX8 expression rates were 0.129 (95% CI, 0.022 to 0.496) and 0.037 (95% CI, 0.022 to 0.061) in small cell and non-small cell carcinomas, respectively (Table 2, Fig. 2). There was a significant difference in PAX8 expression between small cell and non-small cell carcinomas by the meta-regression test (p=.049). Detailed subgroup analysis was performed based on tumor subtypes of non-small cell carcinomas. PAX8 expression rates were 0.013 (95% CI, 0.006 to 0.031), 0.040 (95% CI, 0.016 to 0.097), and 0.113 (95% CI, 0.059 to 0.205) in adenocarcinoma, squamous cell carcinoma, and large cell carcinoma, respectively. The PAX8 expression rate was 0.071 (95% CI, 0.004 to 0.577) in micropapillary carcinoma and 0.050 (95% CI, 0.007 to 0.272) in large cell neuroendocrine carcinoma. Moreover, the PAX8 expression rate of metastatic cancers from the lung to other organs was investigated; the estimated PAX8 expression rates were similar to those of primary lung cancers. The PAX8 expression rates in metastatic lung adenocarcinoma and squamous cell carcinoma were 0.050 (95% CI, 0.003 to 0.475) and 0.071 (95% CI, 0.004 to 0.577), respectively (Table 3). In addition, the PAX8 expression rate of metastatic small cell carcinomas from the lungs was 0.067 (95% CI, 0.009 to 0.352).
PAX8 expression in metastatic carcinomas from various organs
The PAX8 expression rates of metastatic carcinomas to the lung were investigated to elucidate the differential role of PAX8 immunohistochemistry. Metastatic carcinomas to the lung showed different PAX8 expression rates, ranging from 1.8% to 94.9% (Table 4, Fig. 3). Among metastatic carcinomas to the lung, PAX8 expression rates in metastatic carcinomas from the female genital organs, kidney, and thyroid were 0.746 (95% CI, 0.501 to 0.895), 0.876 (95% CI, 0.796 to 0.928), and 0.879 (95% CI, 0.697 to 0.959), respectively. There were significant differences in PAX8 expression rates between primary lung cancers and metastatic carcinomas from the female genital organs, kidneys, and thyroid gland.
Because PAX8 expression can differ by tumor origin, PAX8 may be useful in differentiating malignant tumors of various origins. Some studies reported that PAX8 expression was absent or very low in primary lung cancers [4,8-24], whereas others reported high PAX8 expressions of up to 66.7% [8,14,16,21-24]; thus detailed information on PAX8 expression according to tumor subtypes of lung cancer was unclear. In this meta-analysis, we evaluated the diagnostic roles of PAX8 immunohistochemical expression in primary lung cancers and metastatic carcinomas to the lung.
It is difficult to obtain conclusive data from individual studies because of the small sample size and difference in evaluation methods. PAX8 expression was found in 0%–66.7%, 0%–12.5%, and 0%–33.3% cases of small cell lung carcinoma, adenocarcinoma, and squamous cell carcinoma of the lung, respectively [4,8-24]. Unlike previous studies, estimated PAX8 expression rates were 12.9% and 3.6% in small cell and non-small cell carcinomas, respectively. However, the cause for discrepancy in the results between the present meta-analysis and previous studies could not be determined. Based on our results, the PAX8 expression was significantly higher in small cell carcinoma than in nonsmall cell carcinoma (p=.049 in the meta-regression test). Clinically, the usefulness of differentiation between small cell and non-small cell carcinomas is limited, regardless of statistical significance. This may be due to the low expression rates of PAX8 in both small cell and non-small cell lung carcinomas. In addition, a significant difference in PAX8 expression between tumor subtypes of primary lung cancers was not identified in the metaregression tests. Therefore, the usefulness of PAX8 expression in the differentiation of tumor subtypes of primary lung cancer is limited.
In daily practice, pathologists have to diagnose various metastatic cancers to the lung, which is a common metastatic site for extrapulmonary carcinomas [3]. The histologic diagnosis of some metastatic cancers of unknown origin is challenging, especially when the metastatic cancer to the lung has histologic findings similar to a primary lung cancer. In previous studies, tumors that originated from the female genital organs, kidney, and thyroid gland were found to have high PAX8 expressions. PAX8 expression rates of metastatic carcinoma from these organs were 62.9%– 94.9%. However, metastatic carcinomas from other organs showed lower PAX8 expression than the metastatic carcinoma from the female genital organs, kidney, and thyroid gland (1.8%–16.7% vs. 62.9%–94.9%). Taken together, these results indicate that metastatic carcinomas from the female genital organs, kidney, and thyroid gland can be differentiated from primary lung cancers based on different PAX8 expression rates.
Because lung cancer can metastasize to other organs, PAX8 expression levels were investigated in metastatic lung cancers [33]. In this study, there was no significant difference in PAX8 expression between primary lung cancers and metastatic cancers to the lung. For example, lung adenocarcinoma metastasizes to the ovary at an extremely low rate [33]. The metastatic lung cancers can be easily differentiated from the primary ovarian cancers using immunohistochemistry for TTF-1, Napsin A, and PAX8 [7].
The most common site of distant metastasis for thyroid carcinomas is the lung [34]. In addition, some lung cancers, up to 3.1%, can metastasize to the thyroid glands [35,36]. Thus, the need for differentiating between lung and thyroid carcinomas may be common in daily practice. The histologic findings of papillary thyroid carcinoma can overlap with some non-mucinous bronchioloalveolar and papillary types of lung adenocarcinoma [17]. Because TTF-1 is expressed in both thyroid and lung cancers, other specific markers are needed for differentiation in daily practice. In our results, PAX8 was highly expressed in metastatic thyroid cancer of the lung, similar to primary thyroid cancers [23]. According to these findings, cases with TTF-1 and PAX8 expressions theoretically can be considered as metastatic thyroid cancer. On the other hand, cases with only TTF-1 expression can be considered as primary lung cancer. The PAX8 expression rates of anaplastic thyroid carcinomas were reported to be 50.0%–100.0% [22,37]. In addition, the histologic findings, such as anaplastic spindle and giant cells, can overlap between pleomorphic carcinoma of the lung and anaplastic thyroid carcinoma [1,38]. The TTF-1 expression rates were higher in lung pleomorphic carcinoma than in anaplastic thyroid carcinoma [39,40]. Because TTF-1 expression can be lower in anaplastic thyroid carcinoma than in other types of thyroid carcinoma, the histologic findings of the original tumor are important for differentiation. Therefore, the immunohistochemical markers, including PAX8, can be useful for the differential diagnosis of malignant tumors of the lung.
PAX8 expression was evaluated by monoclonal or polyclonal antibodies. However, the difference in clonality of the primary PAX8 antibody is not clear in primary lung cancers. This point may be necessary for defining PAX8 expression because PAX8 expression in primary lung cancers was low or absent. In previous studies, the immunohistochemistry using PAX8 polyclonal antibody showed cross-reactivity with other PAX families and detected immunoreactivity in normal tissues and tumors represented by B lymphocytes [41-43]. Some studies reported different PAX8 expression rates according to the clonality of antibodies in the same tissues [22,23]. Toriyama et al. (2014) [22] reported that PAX8 expression was only detected in immunohistochemistry with polyclonal antibody but not with a monoclonal antibody. However, Vidarsdottir et al. (2019) [23] detected PAX8 expression in primary lung cancers using a monoclonal antibody. In our results, PAX8 expression rates of small cell carcinoma were 0.113 (95% CI, 0.001 to 0.968) and 0.141 (95% CI, 0.019 to 0.585) in monoclonal and polyclonal antibodies, respectively (data not shown). In addition, in non-small cell lung carcinoma, PAX8 expression rates were 0.020 (95% CI, 0.009 to 0.044) and 0.057 (95% CI, 0.033 to 0.095) in monoclonal and polyclonal antibodies, respectively (data not shown). However, the difference in PAX8 expression between clonalities of PAX8 antibody was significant in non-small cell lung carcinoma but not in small cell lung carcinoma (p=.030 and p= .993 in the meta-regression test, respectively). Therefore, the difference in PAX8 expression rates as detected by monoclonal and polyclonal antibodies is uncertain. However, regardless of these differences, both monoclonal and polyclonal antibodies can be useful for differentiating between metastatic carcinomas with high expression rates of PAX8 and primary lung cancers with low expression rates of PAX8. From previous studies, the high expression rate of PAX8 immunohistochemistry using a polyclonal antibody can be considered a highly sensitive method. Conversely, the low expression rate of PAX8 immunohistochemistry using a monoclonal antibody can be considered a highly specific method. As described above, the possibility of misinterpretation for other components, including normally placed components, should be considered. In addition, immunohistochemical staining techniques can affect the positive rates of PAX8, regardless of the clonality of antibody.
This study has some limitations. First, subgroup analysis based on clonality of antibody could not be performed for metastatic carcinomas from other organs due to insufficient information. Second, the detailed information for PAX8 expression of metastatic lung cancer based on metastatic organs could not be obtained due to insufficient information. Third, although the pleura is the most common metastatic site of lung cancer, a comparison of PAX8 expressions between the primary and metastatic tumors of the pleura could not be performed due to a lack of information. Fourth, subgroup analysis based on differentiation of tumors and subtypes of adenocarcinoma could not be performed due to insufficient information on eligible studies. Fifth, detailed analyses for some uncommon subtypes of the primary lung cancer with low incidence were not performed due to the small sample size of patients with these cancers. Lastly, the impact of changed diagnostic criteria of primary lung cancers could not be investigated because we did not include cases applying revised diagnostic criteria in eligible studies.
In conclusion, our results showed that PAX8 expression was lower in primary lung cancer than in metastatic carcinoma of the lung. However, the diagnostic role of PAX8 expression in differentiating tumor subtypes of primary lung cancers is limited due to low rates of PAX8 immunohistochemistry. In daily practice, PAX8 immunohistochemistry can be useful for the diagnosis of metastatic cancer from the female genital organs, kidney, and thyroid gland.

Ethics Statement

Not applicable.

Author contributions

Conceptualization: JHJ, JSP. Data curation: JSP. Formal analysis: JHJ, NYK. Funding acquisition: JHJ. Investigation: JHJ, JSP. Methodology: JSP. Supervision: NYK. Validation: NYK. Writing—original draft: JHJ, JSP. Writing—review & editing: NYK. Approval of final manuscript: all authors.

Conflicts of Interest

The authors declare that they have no potential conflicts of interest.

Funding

This study was supported by research fund from Chosun University Hospital, 2019.

Fig. 1.
Flow chart of study search and selection methods.
jptm-2020-06-08f1.jpg
Fig. 2.
Forest plots for PAX8 expression rates in small cell lung cancer (A) and non-small cell lung cancer (B) [4,10-12,14-19,21-24]. CI, confidence interval; LCNEC, large cell neuroendocrine carcinoma; NEC, neuroendocrine carcinoma.
jptm-2020-06-08f2.jpg
Fig. 3.
Forest plot for PAX8 expression rate in metastatic carcinomas to the lung from other organs [4,10,11,23]. CI, confidence interval; RCC, renal cell carcinoma; HCC, hepatocellular carcinoma.
jptm-2020-06-08f3.jpg
Table 1.
Main characteristics of the eligible studies
Study Location Antibody manufacturer clonality Clonality organ Tumor subtype PAX8 IHC
Positive Negative
Asirvatham et al. (2014) [8] USA Polyclonal Lung ND 1 14
Bi et al. (2019) [9] China Monoclonal Metastatic 0 7
Bi et al. (2016) [10] China Polyclonal Lung NEC 0 20
El-Maqsoud et al. (2016) [11] Egypt Monoclonal Lung Adenocarcinoma 0 30
Monoclonal Lung Squamous cell carcinom 0 15
Monoclonal Lung Large cell carcinoma 0 5
Monoclonal Metastatic 88 55
Gailey et al. (2013) [12] USA Polyclonal Lung Squamous cell carcinoma 0 12
Heidarpour et al. (2014) [13] Iran Polyclonal Lung ND 0 5
Laury et al. (2011) [14] USA Polyclonal Lung Adenocarcinoma 0 120
Polyclonal Lung squamous cell carcinoma 4 8
Polyclonal Lung Adenosquamous carcinoma 0 3
Polyclonal Lung Small cell carcinoma 0 9
Lotan et al. (2009) [15] USA Polyclonal Lung Micropapillary carcinoma 0 6
Mentrikoski et al. (2014) [16] USA Polyclonal Lung Adenocarcinoma 1 7
Polyclonal Lung Squamous cell carcinoma 0 3
Nonaka et al. (2008) [17] USA Polyclonal Lung Adenocarcinoma 0 114
Polyclonal Lung Squamous cell carcinoma 0 29
Polyclonal Lung Large cell carcinoma 0 4
Ozcan et al. (2011) [18] USA Polyclonal Lung Squamous cell carcinoma 0 4
Polyclonal Lung Adenocarcinoma 0 7
Polyclonal Lung Small cell carcinoma 0 12
Polyclonal From lung Small cell carcinoma 1 14
Polyclonal From lung Adenocarcinoma 0 9
Polyclonal From lung Squamous cell carcinoma 0 6
Suzuki et al. (2015) [19] Japan Polyclonal Lung Squamous cell carcinoma 0 5
Tacha et al. (2013) [20] USA Monoclonal Lung ND 0 50
Tacha et al. (2011) [21] USA Polyclonal Lung Squamous cell carcinoma 1 48
Polyclonal Lung Adenosquamous carcinoma 0 11
Polyclonal Lung Adenocarcinoma 0 15
Toriyama et al. (2014) [22] Japan Polyclonal Lung Adenocarcinoma 6 247
Polyclonal Lung Squamous cell carcinoma 3 155
Polyclonal Lung LCNEC 17 89
Polyclonal Lung Small cell carcinoma 27 40
Polyclonal Lung Pleomorphic carcinoma 0 41
Polyclonal Lung Large cell carcinoma 2 9
Monoclonal Lung Adenocarcinoma 0 253
Monoclonal Lung Squamous cell carcinoma 0 158
Monoclonal Lung LCNEC 0 106
Monoclonal Lung Small cell carcinoma 0 67
Monoclonal Lung Pleomorphic carcinoma 0 41
Monoclonal Lung Large cell carcinoma 0 11
Vidarsdottir et al. (2019) [23] Sweden Monoclonal Lung Adenocarcinoma 2 429
Monoclonal Lung Squamous cell carcinom 4 198
Monoclonal Lung Large cell carcinoma 2 7
Monoclonal Lung Sarcomatoid carcinoma 0 6
Monoclonal Lung Small cell carcinoma 2 1
Monoclonal Lung Large cell NEC 1 19
Monoclonal Metastatic 55 251
Weissferdt et al. (2013) [24] USA Polyclonal Lung NEC 2 23
Ye et al. (2012) [4] USA ND Lung Adenocarcinoma 0 120
ND Metastatic 45 56

ND, no description; NEC, neuroendocrine carcinoma; LCNEC, large cell neuroendocrine carcinoma.

Table 2.
The estimated rates of PAX8 immunohistochemical expressions in primary lung cancers
No. of subsets Fixed effect (95% CI) Heterogeneity test p-value Random effect (95% CI) Egger’s test p-value
Lung, primary 45 0.092 (0.075–0.114) < .001 0.042 (0.025–0.071) < .001
 Small cell carcinoma 5 0.350 (0.254–0.461) .002 0.129 (0.022–0.496) .185
 Non-small cell carcinoma 3,537 0.054 (0.042–0.071) < .001 0.036 (0.021–0.061) .022
0.055 (0.042–0.071) 0.037 (0.022–0.061) .018
 Adenocarcinoma 10 0.016 (0.009–0.027) .113 0.013 (0.006–0.031) .493
 Micropapillary carcinoma 1 0.071 (0.004–0.577) > .99 0.071 (0.004–0.577) -
 Squamous cell carcinoma 11 0.041 (0.025–0.067) .004 0.040 (0.016–0.097) .907
 Large cell carcinoma 8 0.139 (0.094–0.199) .216 0.113 (0.059–0.205) .101
 Large cell NEC 3 0.136 (0.087–0.205) .020 0.050 (0.007–0.272) .192
 Sarcomatoid carcinoma 1 0.071 (0.004–0.577) > .99 0.071 (0.004–0.577) -
 Pleomorphic carcinoma 2 0.012 (0.002–0.080) > .99 0.012 (0.002–0.080) -
 Adenosquamous carcinoma 2 0.071 (0.010–0.373) .569 0.071 (0.010–0.373) -

CI, confidence interval; NEC, neuroendocrine carcinoma.

Table 3.
The estimated rates of PAX8 immunohistochemical expressions in metastatic lung cancer
No. of subsets Fixed effect (95% CI) Heterogeneity test p-value Random effect (95% CI) Egger’s test p-value
Lung, metastatic 3 0.063 (0.016–0.220) .980 0.063 (0.016–0.220) .755
 Adenocarcinoma 1 0.050 (0.003–0.475) > .99 0.050 (0.003–0.475) -
 Squamous cell carcinoma 1 0.071 (0.004–0.577) > .99 0.071 (0.004–0.577) -
 Small cell carcinoma 1 0.067 (0.009–0.352) > .99 0.067 (0.009–0.352) -

CI, confidence interval.

Table 4.
The estimated rates of PAX8 immunohistochemical expressions in metastatic carcinoma to the lung
No. of subsets Fixed effect (95% CI) Heterogeneity test p-value Random effect (95% CI) Egger’s test p-value
Metastatic carcinoma 39 0.492 (0.412–0.573) < .001 0.337 (0.191–0.523) .005
 Adrenal cortex 1 0.167 (0.010–0.806) > .99 0.167 (0.010–0.806) -
 Appendix 1 0.100 (0.006–0.674) > .99 0.100 (0.006–0.674) -
 Breast 3 0.039 (0.010–0.142) .991 0.039 (0.010–0.142) .701
 Colorectum 3 0.018 (0.006–0.056) .468 0.018 (0.006–0.056) .049
 Esophagus 1 0.125 (0.007–0.734) > .99 0.125 (0.007–0.734) -
 Female genital organa 7 0.717 (0.571–0.828) .042 0.746 (0.501–0.895) .570
  Ovary 4 0.641 (0.423–0.813) .038 0.629 (0.243–0.899) .908
   Mucinous carcinoma 1 0.600 (0.297–0.842) > .99 0.600 (0.297–0.842) -
   Serous carcinoma 1 0.955 (0.552–0.997) > .99 0.955 (0.552–0.997) -
  Uterine endometrium 2 0.949 (0.713–0.993) .615 0.949 (0.713–0.993) -
 Kidney-RCC 5 0.876 (0.796–0.928) .884 0.876 (0.796–0.928) .213
  Clear cell RCC 1 0.923 (0.609–0.989) > .99 0.923 (0.609–0.989) -
  Chromophobe RCC 1 0.833 (0.369–0.977) > .99 0.833 (0.369–0.977) -
  Papillary RCC 1 0.958 (0.575–0.997) > .99 0.958 (0.575–0.997) -
 Liver 3 0.063 (0.013–0.260) .914 0.063 (0.013–0.260) .048
 Pancreatobiliary 2 0.133 (0.026–0.466) .472 0.133 (0.026–0.466) -
 Prostate 2 0.072 (0.014–0.290) .678 0.072 (0.014–0.290) -
 Salivary gland 2 0.071 (0.010–0.370) > .99 0.071 (0.010–0.370) -
 Small bowel 1 0.167 (0.010–0.806) > .99 0.167 (0.010–0.806) -
 Stomach 1 0.083 (0.005–0.622) > .99 0.083 (0.005–0.622) -
 Testis 1 0.125 (0.007–0.734) > .99 0.125 (0.007–0.734) -
 Thyroid 4 0.879 (0.697–0.959) .421 0.879 (0.697–0.959) .839
  Papillary carcinoma 1 0.938 (0.665–0.991) > .99 0.938 (0.665–0.991) -
  Follicular carcinoma 1 0.967 (0.634–0.998) > .99 0.967 (0.634–0.998) -
 Urinary system 2 0.171 (0.032–0.564) .261 0.165 (0.024–0.613) -

CI, confidence interval; RCC, renal cell carcinoma.

a Included uterine corpus and cervix and ovary.

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      Analysis of PAX8 immunohistochemistry in lung cancers: a meta-analysis
      J Pathol Transl Med. 2020;54(4):300-309.   Published online July 10, 2020
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