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. Author manuscript; available in PMC: 2021 Nov 1.
Published in final edited form as: Am J Clin Oncol. 2020 Nov;43(11):792–797. doi: 10.1097/COC.0000000000000745

Gender differences in outcomes of patients with mesothelioma

Naomi Alpert 1, Maaike van Gerwen 1,2, Raja Flores 3, Emanuela Taioli 1,3,4,*
PMCID: PMC7584743  NIHMSID: NIHMS1616149  PMID: 32815857

Abstract

Background

Mesothelioma is a rare and deadly form of cancer, linked to asbestos exposure. Although the United Kingdom (UK) has banned asbestos, the incidence rate remains high. Previous research has indicated that females have better survival than males, but this has never been examined in the UK.

Methods

Pleural mesothelioma cases from 2005-2014 were extracted from the UK Lung Cancer Dataset. Multivariable logistic regression was used to assess the clinical and demographic factors associated with gender. A multivariable Cox-proportional hazards model and propensity matching methods were used to assess gender differences in overall survival, while accounting for potential confounders.

Results

There were 8,479 (87.8%) males and 1,765 (17.2%) females included in the analysis. Females were significantly younger, with more epithelial histology than males. Females had significantly better overall survival (HRadj: 0.85, 95% CI: 0.81-0.90). Results remained similar when stratifying by age and performance status, and when limiting to patients with epithelial histology.

Conclusions

The study increases knowledge about gender differences in mesothelioma survival and is the first to directly examine this in the UK. It further disentangles effects of age, histology and health status. Increased estrogen may improve survival, and could provide a potential target for future therapies.

Keywords: Oncological outcomes, large database analysis, Lung Cancer Dataset

Introduction

Malignant mesothelioma is a rare and deadly form of cancer, arising from the mesothelial cells in the pleural, peritoneal, and pericardial cavities.1 The association between asbestos exposure and mesothelioma is well documented.25 However, due to the long latency period of mesothelioma6 we are just beginning to see moderate decreases in rates after asbestos bans and reductions in use that occurred in many countries in the 1970s-1990s.7 Although the United Kingdom (UK) banned the use of chrysotile asbestos in 1999,7 the incidence of mesothelioma remains one of the highest in the world (World Standardized Incidence Rate: 2.9 per 100,000 for males, 0.6 per 100,000 for females).8 This may be due to persistent heavy asbestos exposure from common occupations, including shipbuilding, railway engineering, asbestos product manufacturing, and construction.9, 10

There are three histological subtypes of mesothelioma; epithelial, biphasic, and sarcomatoid,1 and although survival for mesothelioma varies by subtype, it has remained generally poor, with median survival ranging from 8-18 months, despite the introduction of modern therapies.1 Prior research studies using the Surveillance, Epidemiology, and End Results (SEER) data, and the National Cancer Database (NCDB) in the United States (US) have indicated significantly improved survival for female patients.11, 12 Similar results have been found in registry-based analyses from Australia,13 Germany,14 and France15 well as in single-center studies.1619 While some studies have suggested improved survival is due to more favorable tumor and demographic characteristics,2022 it may also be associated with the protective benefits of circulating estrogen and estrogen receptors in the tumor.19, 23, 24 Due to the aggressiveness of mesothelioma, it is crucial to identify factors associated with improved prognosis, as this may provide insight into more efficacious, personalized treatments and therapies.

Given the rarity of mesothelioma, especially among females, population based registries provide a unique opportunity to examine prognostic factors, especially in countries with high incidence rates. Although similar studies have been conducted in other countries, there is currently no study directly comparing survival between females and males in the UK. The goal of this study was to use data from the UK’s National Lung Cancer Audit (NLCA) to determine whether survival patterns for malignant pleural mesothelioma (MPM) by gender are consistent with what has been seen in other countries, despite differences in occupational asbestos exposure and timelines in reducing asbestos production and consumption.7

Materials and Methods

Data Source and Study Population

The NLCA was established in 2004 to assess potential inequalities within the United Kingdom (UK)’s National Health Service (NHS), and to address the finding that outcomes for patients with lung cancer in the UK were worse than in other countries.25 The NLCA is commissioned by the Healthcare Quality Improvement Partnership, and administered by the Royal College of Physicians, with data submitted for approximately 100% of all incident cases from the 157 trusts within the NHS. The data set of Lung Cancer Data (LUCADA) includes information on mesothelioma cases, with data available from 2005-2014, at the time of the data request.25, 26 Variables available in LUCADA include patient demographics and clinical factors, tumor characteristics, treatment (including palliative care), months of follow up, and vital status. This project involves data derived from patient-level information collected by the NHS, as part of the care and support of cancer patients. The data is collated, maintained and quality assured by the National Cancer Registration and Analysis Service, which is part of Public Health England (PHE). Access to the data was facilitated by the PHE Office for Data Release. All patients with mesothelioma morphology (9050/3, 9051/3, 9052/3, 9053/3), and a primary ICD-10 diagnosis code of C34, C34.x, C38.4, C45, or C45.0 in England, from 2005-2014 were included (n=10,357). As a quality control, those with an unknown diagnosis date were excluded (nexc=113), for a final sample of 10,244 patients. Data received by the investigators was anonymous, and therefore the study was deemed non-human subjects research by the Icahn School of Medicine at Mount Sinai Institutional Review Board and was not subject to the General Data Protection Regulation (GDPR).

Variables

The primary outcome of interest was overall survival. LUCADA shared the number of months of follow up, and each patient’s vital status at that time. The primary predictor of interest was patient gender. Other covariates of interest included age at diagnosis, histology, site, Eastern Cooperative Oncology Group (ECOG) performance status, and receipt of treatment (surgery, chemotherapy, radiotherapy) or palliative care. Although UK guidelines state that mesothelioma surgeries are palliative in intent, they are coded separately from non-interventional palliative care. Those with ICD-10 codes indicating lung or pleura as the site of the cancer (C34, C34.x, C38.4, C45.0) were coded as definitive pleural cases, while those with and ICD-10 code of C45 were considered to be missing definitive site. However, as pleural is the most common type of mesothelioma, and LUCADA is focused on lung cancer, we suspect non-pleural mesotheliomas are rare in the dataset. Other studies have also assumed that patients in this dataset with an ICD-10 code of C45 are cases of pleural mesothelioma.27

Statistical Analysis

Males and females were compared on demographic, clinical, and tumor characteristics using χ2-tests. Multivariable logistic regression was run to assess the independent associations of these variables with gender, using Odds Ratios (OR) and 95% Confidence Intervals (CI). Survival was compared using Kaplan-Meier curves with the log-rank test. Univariate and multivariable Cox proportional hazards models were used to assess the association between gender and survival, while accounting for potential confounders. As ECOG status was missing for 19% of the sample, a “missing” category was created so as not to exclude these patients from multivariable analyses. Multivariable models were also adjusted for year of diagnosis to account for any changes over time. A sensitivity analysis was conducted, stratified by definitive pleural site.

Survival was also assessed using a 1:1 optimal propensity score match28 (maximum difference=0.000001), matching on all covariates. The quality of the match was assessed using the standardized difference between groups for each covariate. Covariates with a standardized difference of <10% were considered to be well balanced. This analysis was also run among those with epithelial status, and stratified by age at diagnosis (<65, ≥65 years) and ECOG status (0/1, 2/3).

Results

There were 10,244 patients in the sample; 8,479 (82.8%) male and 1,765 (17.2%) female. Females were significantly younger (22.1% <65 years, vs. 19.7%, p=0.0250), and significantly more likely to have epithelial histology (35.7% vs. 30.9%, p<0.0001) and worse ECOG status (10% with score 3, vs. 7.9%, p=0.0099). They were also significantly less likely to receive chemotherapy (29.1% vs. 31.4%, p=0.0495). There was no significant difference in definitive pleural site, or receipt of surgery, radiotherapy, or palliative care. (Table 1).

Table 1-.

Demographic and clinical characteristics of the sample, by gender

Males (n=8479) Females (n=1765)
Variable n(%) n(%) p-value^
Age at diagnosis (years) 0.0250
 ≤64 1673 (19.7) 390 (22.1)
 65-69 1587 (18.7) 306 (17.3)
 70-74 1724 (20.3) 333 (18.9)
 75-79 1726 (20.4) 334 (18.9)
 ≥80 1769 (20.9) 402 (22.8)

Histology <.0001
 Epithelial 2616 (30.9) 630 (35.7)
 Biphasic 352 (4.2) 74 (4.2)
 Sarcomatoid 542 (6.4) 79 (4.5)
 Mesothelioma, NOS 4969 (58.6) 982 (55.6)

Site 0.3445
 Definitive Pleural 4898 (57.8) 998 (56.5)
 Undefined 3581 (42.2) 767 (43.5)

ECOG Performance Status* 0.0099
 0 1655 (19.5) 341 (19.3)
 1 3192 (37.6) 600 (34.0)
 2 1276 (15.0) 276 (15.6)
 3 668 (7.9) 176 (10.0)
 4 121 (1.4) 24 (1.4)
 Missing 1567 (18.5) 348 (19.7)

Surgery 0.1339
 No 6057 (71.4) 1292 (73.2)
 Yes 2422 (28.6) 473 (26.8)

Chemotherapy 0.0495
 No 5813 (68.6) 1252 (70.9)
 Yes 2666 (31.4) 513 (29.1)

Radiotherapy 0.1007
 No 5920 (69.8) 1267 (71.8)
 Yes 2559 (30.2) 498 (28.2)

Palliative Care 0.1786
 No 6572 (77.5) 1342 (76.0)
 Yes 1907 (22.5) 423 (24.0)
^

based on non-missing values

*

0-Able to carry out all normal activity without restriction; 1-restricted in physically strenuous activity, but able to walk and do light work; 2-Able to walk and capable of all self care, but unable to carry out any work. Up and about more than 50% of waking hours; 3-Capable of only limited self care, confined to bed or chair more than 50% of waking hours; 4-Completely disabled, cannot carry on any self care. Totally confined to bed or chair.

After adjustment, females resulted still significantly younger, with significantly more epithelial and less sarcomatoid histology than males. There was no statistically significant difference in definitive pleural site, ECOG status, and receipt of surgery, chemotherapy, radiotherapy, or palliative care (Table 2)

Table 2-.

Factors associated with gender among mesothelioma patients

Variable Females vs. Males

ORadj^ (95% CI)
Age at diagnosis (years)
 ≤64 1.0 (ref)
 65-69 0.84 (0.71-0.99)
 70-74 0.82 (0.70-0.97)
 75-79 0.81 (0.69-0.96)
 ≥80 0.91 (0.77-1.08)

Histology
 Epithelial 1.0 (ref)
 Biphasic 0.90 (0.69-1.17)
 Sarcomatoid 0.59 (0.45-0.75)
 Mesothelioma, NOS 0.80 (0.71-0.89)

Site
 Undefined vs. Definitive Pleural 1.04 (0.93-1.15)

ECOG Performance Status*
 0 1.0 (ref)
 1 0.93 (0.80-1.07)
 2 1.05 (0.88-1.26)
 3 1.25 (1.01-1.55)
 4 0.91 (0.57-1.44)
 Missing 1.05 (0.89-1.25)

Surgery
 Yes vs. No 0.9 (0.80-1.01)

Chemotherapy
 Yes vs. No 0.91 (0.80-1.03)

Radiotherapy
 Yes vs. No 0.94 (0.83-1.05)

Palliative Care
 Yes vs. No 1.03 (0.91-1.17)
^

Adjusted for all variables listed and year of diagnosis

*

0-Able to carry out all normal activity without restriction; 1-restricted in physically strenuous activity, but able to walk and do light work; 2-Able to walk and capable of all self care, but unable to carry out any work. Up and about more than 50% of waking hours; 3-Capable of only limited self care, confined to bed or chair more than 50% of waking hours; 4-Completely disabled, cannot carry on any self care. Totally confined to bed or chair.

Median (IQR) follow up time of the sample was 9.3 (3.4-17.3) months. Overall survival was significantly better for females, compared to males (p<0.0001). At 2 years, the survival (95% CI) was 21.7% (19.7-23.7%) and 16.3% (15.5-17.1%) for females and males, respectively; at 5 years it was 5.7% (4.2-7.1%) and 3.7% (3.2%-4.2%). Survival remained significantly better for females after adjusting for all covariates (HRadj:0.85, 95% CI: 0.81-0.90). Other factors significantly associated with improved survival were younger age at diagnosis, epithelial histology, definitive pleural site, lower ECOG scores, and receipt of surgery, chemotherapy, or radiotherapy. Those who received palliative care had significantly worse survival (Table 3). A sensitivity analyses stratified by definitive pleural site revealed similar and consistent results (HR[definitive pleural]adj:0.86, 95% CI: 0.80-0.92; HR[undefined]adj:0.85, 95% CI: 0.78-0.92).

Table 3-.

Factors associated with mortality, mesothelioma patients

Variable
HRadj^ (95% CI)
Gender
 Female vs. Male 0.85 (0.81-0.90)

Age at diagnosis (years)
 ≤64 1.0 (ref)
 65-69 1.08 (1.01-1.15)
 70-74 1.13 (1.06-1.20)
 75-79 1.22 (1.15-1.31)
 ≥80 1.32 (1.23-1.41)

Histology
 Epithelial 1.0 (ref)
 Biphasic 1.66 (1.49-1.85)
 Sarcomatoid 2.56 (2.34-2.80)
 Mesothelioma, NOS 1.21 (1.15-1.26)

Site
 Undefined vs. Definitive Pleural 1.04 (1.00-1.09)

ECOG Performance Status*
 0 1.0 (ref)
 1 1.21 (1.14-1.29)
 2 1.60 (1.48-1.72)
 3 2.59 (2.37-2.83)
 4 5.33 (4.47-6.34)
 Missing 1.30 (1.22-1.39)

Surgery
 Yes vs. No 0.80 (0.76-0.84)

Chemotherapy
 Yes vs. No 0.74 (0.70-0.78)

Radiotherapy
 Yes vs. No 0.86 (0.82-0.90)

Palliative Care
 Yes vs. No 1.41 (1.34-1.49)
^

Adjusted for all variables listed and year of diagnosis

*

0-Able to carry out all normal activity without restriction; 1-restricted in physically strenuous activity, but able to walk and do light work; 2-Able to walk and capable of all self care, but unable to carry out any work. Up and about more than 50% of waking hours; 3-Capable of only limited self care, confined to bed or chair more than 50% of waking hours; 4-Completely disabled, cannot carry on any self care. Totally confined to bed or chair.

The propensity matched cohort contained 3,110 patients, and was well balanced between males and females on all variables (|standardized difference| <0.1) (See Table, Supplemental Digital Content 1). Survival was significantly better for females than males at 2 years (22.2%, vs. 16.9%, p=0.0025) and 5 years (5.1% vs. 3.7%, p=0.0015) (HR: 0.89, 95% CI: 0.82-0.96) (Figure 1a). After stratification by age at diagnosis there were 672 patients in the propensity matched group <65 years old at diagnosis, and 2,444 in the propensity matched group ≥65 years old at diagnosis. Survival was significantly better for females, compared to males in both analyses (HR: 0.77, 95% CI: 0.65-0.90; HR: 0.90, 95% CI: 0.82-0.97, respectively) (Figure 1bc)

Figure 1-.

Figure 1-

Overall survival in mesothelioma patients, by gender in (a) the propensity matched cohort (n=3,110); (b) propensity matched cohort <65 years old (n=672); (c) propensity matched cohort ≥65 years (n=2,444)

There were 1,094 patients in the propensity matched cohort with epithelial histology. Females had significantly better survival (HR: 0.79, 95% CI: 0.69-0.90) (See Figure, Supplemental Digital Content 2a, which shows survival in the propensity matched cohort with epithelial histology). Results remained similar after stratification for age (HR: 0.67, 95% CI:0.51-0.88, HR: 0.87, 95% CI: 0.75-0.99, for <65 years and ≥65 years, respectively (Figure, Supplemental Digital Content 2b, which compares survival in the epithelial cohort <65 years (n=278) and 2c, which compares survival in the epithelial cohort ≥65 years (n=912)).

After stratification by ECOG status, there were 1,714 patients in the propensity matched cohort with ECOG score of 0 or 1, and 750 in the cohort with ECOG score of 2 or 3. Survival was significantly better for females (HR: 0.81 0.73-0.90) for those with ECOG 0 or 1 (Figure, Supplemental Digital Content 3a, which compares survival for those with ECOG 0/1). For those with ECOG 2 or 3, survival was not significantly different by gender, but trended towards better survival for females (HR: 0.89, 95% CI: 0.77-1.03) (Figure, Supplemental Digital Content 3b, which compares survival for those with ECOG 2/3).

Discussion

This study included more than 10,000 mesothelioma patients; over 1,700 of them female, from the NLCA LUCADA dataset. This dataset presents a unique research opportunity, given the enduring high incidence of mesothelioma in the UK.8 This analysis is the first to examine gender disparities in survival for MPM in this population.

Consistent with prior research from multiple different data sources1115 in other countries, this analysis shows significantly better survival among female patients with MPM. This difference persisted across age, health status, and tumor characteristics. Although this study and others have found that females tend to be younger and are more likely to have epithelial histology,11, 12, 14, 29 the results of this analysis suggest that better survival among females is not entirely due to more favorable age and tumor characteristics. Although other studies have found females to have better health status and fewer comorbidities12, 15 than males, this was not the case in the UK data set. Improved survival is unlikely to be due to treatment disparities. In fact, despite the survival benefit of chemotherapy, radiotherapy, and surgery, we found no significant difference in receipt of treatments, with females actually trending towards being treated less frequently than males.

Studies have hypothesized that more favorable histology may play a role in improved survival for females.21 However, many population-based datasets, including this one, do not have detailed histologic subtype for a large portion of patients with mesothelioma,11, 12, 21 making it difficult to disentangle its effect on survival. Although females were significantly more likely to have epithelial histology, we were able to remove this potential confounding effect by comparing survival within histological subtype. When limiting to those with epithelial histology, the gender difference in survival appeared to be larger than in the overall cohort, indicating that females in this UK dataset do particularly well, comparatively.

When the analysis was stratified by age, females had significantly better survival in all age groups, however, the difference was more prominent in the younger age group, both in the overall cohort, and among those with epithelial histology. When the analysis was stratified by ECOG status, females had significantly better survival when with ECOG status 0/1; this was not so among those with ECOG status 2/3. The independent prognostic value of both younger age and better ECOG status may indicate that age not only acts as a proxy for better health status, but that age itself is an important factor in the survival benefit for females. This finding is consistent with research that has suggested circulating estrogen, which decreases as females age, and increased expression of estrogen receptor beta (ERβ) may play a role in improved survival of MPM.23, 24, 30, 31 Studies have shown that increased expression of ERβ is an independent prognostic factor for survival,23 possibly due to its tumor suppressor properties.24 In addition to its role in improving survival, ERβ may also serve as a target for future treatment as it might indicate better response to therapies, including chemotherapy.30, 31 It has been suggested that activation of expression of ERβ may have the potential to reverse biphasic histologies32 and confer a more epithelioid phenotype.24

Results of this study should be interpreted within the context of the limitations of the LUCADA dataset. One major drawback is that this dataset has poor recording of stage.27 Less than 30% of patients had this information, thus we were unable to include this variable in the statistical models. Approximately 40% of the cohort had ICD-10 diagnostic codes that did not specify whether the site of the cancer was pleural. However, we believe that mainly pleural cases were included given the nature of this dataset. Furthermore, it is reasonable to assume that non-pleural cases are rare, as others have also done.27 Additionally, this is unlikely to have biased our results, as the distribution of these cases was very similar between males and females and a stratified sensitivity analysis showed almost identical results regardless of definitive site. Those without definitive site were more likely to be diagnosed in earlier years, where coding practices may have been less consistent. As is common in other mesothelioma registries,1113, 33 many patients did not have detailed information on histological subtype. However, our sample was large enough that we were able to make a robust comparison within the epithelial subgroup. Of particular importance is also the fact that this dataset does not have detailed occupational history available. Men are much more likely to have had direct occupational exposure,2, 34 compared to domestic or environmental exposure, and this likely plays a role in disease presentation and fatality.2 Although this information does exist in some national registries,35 widespread inclusion of occupational exposure will be an extremely important factor in development and expansion of future mesothelioma registries.

This study increases the knowledge of prognostic factors of survival in MPM patients and is the first to directly examine gender in the UK. Given the high rates of mesothelioma in the UK, the NLCA LUCADA dataset is a rich resource for epidemiological examinations, allowing for a larger sample size, particularly of females, than can be recruited for single center studies. Compared to US studies, which often use either the NCDB (hospital based inclusion) or SEER (population based inclusion for specific geographic areas), the LUCADA records data from all 157 trusts in the NHS, providing a comparatively more complete view of this population of mesothelioma patients. We were able to look at results independent of age, histology, and performance status to isolate the survival effects of gender in this population. Future research to examine the mechanisms of these effects and the potential application to therapies is warranted.

Supplementary Material

Supplemental Digital Content 1
Supplemental Digital Content 2
Supplemental Digital Content 3

Acknowledgements:

We would like to thank Margreet Lüchtenborg and Julia Brown from the Public Health England Office for Data Release for preparing the anonymized LUCADA dataset and facilitating its release to the investigators.

Conflicts of Interest and Source of Funding: This work was funded in part by the National Cancer Institute (P30CA196521). The authors have no conflicts of interest to declare.

References:

  • 1.Yang H, Testa JR, Carbone M. Mesothelioma epidemiology, carcinogenesis, and pathogenesis. Curr Treat Options Oncol. 2008;9(2-3):147–57. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Lin RT, Takahashi K, Karjalainen A, et al. Ecological association between asbestos-related diseases and historical asbestos consumption: an international analysis. Lancet. 2007;369(9564):844–9. [DOI] [PubMed] [Google Scholar]
  • 3.Liu B, van Gerwen M, Bonassi S, et al. Epidemiology of Environmental Exposure and Malignant Mesothelioma. J Thorac Oncol. 2017;12(7):1031–45. [DOI] [PubMed] [Google Scholar]
  • 4.Mott FE. Mesothelioma: a review. Ochsner J. 2012;12(1):70–9. [PMC free article] [PubMed] [Google Scholar]
  • 5.Selikoff IJ, Churg J, Hammond EC. Asbestos Exposure and Neoplasia. JAMA. 1964;188(1):22–6. [DOI] [PubMed] [Google Scholar]
  • 6.Bianchi C, Giarelli L, Grandi G, et al. Latency periods in asbestos-related mesothelioma of the pleura. Eur J Cancer Prev. 1997;6(2):162–6. [PubMed] [Google Scholar]
  • 7.Alpert N, van Gerwen M, Taioli E. Epidemiology of mesothelioma in the 21(st) century in Europe and the United States, 40 years after restricted/banned asbestos use. Transl Lung Cancer Res. 2020;9(Suppl 1):S28–S38. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.World Health Organization. International Agency for Cancer Research. Cancer Today [April 24, 2020]. Available from: https://gco.iarc.fr/today/home.
  • 9.Brown T, Darnton A, Fortunato L, et al. Occupational cancer in Britain. Respiratory cancer sites: larynx, lung and mesothelioma. Br J Cancer. 2012;107 Suppl 1(Suppl 1):S56–S70. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Rushton L, Bagga S, Bevan R, et al. Occupation and cancer in Britain. Br J Cancer. 2010;102(9):1428–37. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Taioli E, Wolf AS, Camacho-Rivera M, et al. Women with malignant pleural mesothelioma have a threefold better survival rate than men. Ann Thorac Surg. 2014;98(3):1020–4. [DOI] [PubMed] [Google Scholar]
  • 12.Van Gerwen M, Alpert N, Wolf A, et al. Prognostic factors of survival in patients with malignant pleural mesothelioma: an analysis of the National Cancer Database. Carcinogenesis. 2019;40(4):529–36. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Soeberg MJ, Creighton N, Currow DC, et al. Patterns in the incidence, mortality and survival of malignant pleural and peritoneal mesothelioma, New South Wales, 1972-2009. Aust N Z J Public Health. 2016;40(3):255–62. [DOI] [PubMed] [Google Scholar]
  • 14.Neumann V, Rütten A, Scharmach M, et al. Factors influencing long-term survival in mesothelioma patients--results of the German mesothelioma register. Int Arch Occup Environ Health. 2004;77(3):191–9. [DOI] [PubMed] [Google Scholar]
  • 15.Chouaid C, Assié JB, Andujar P, et al. Determinants of malignant pleural mesothelioma survival and burden of disease in France: a national cohort analysis. Cancer Med. 2018;7(4):1102–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Flores RM, Zakowski M, Venkatraman E, et al. Prognostic Factors in the Treatment of Malignant Pleural Mesothelioma at a Large Tertiary Referral Center. Journal of Thoracic Oncology. 2007;2(10):957–65. [DOI] [PubMed] [Google Scholar]
  • 17.Huang Y, Alzahrani NA, Liauw W, et al. Effects of sex hormones on survival of peritoneal mesothelioma. World J Surg Oncol. 2015;13:210. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Rusch VW, Venkatraman ES. Important prognostic factors in patients with malignant pleural mesothelioma, managed surgically. Ann Thorac Surg. 1999;68(5):1799–804. [DOI] [PubMed] [Google Scholar]
  • 19.Wolf AS, Richards WG, Tilleman TR, et al. Characteristics of malignant pleural mesothelioma in women. Ann Thorac Surg. 2010;90(3):949–56; discussion 56. [DOI] [PubMed] [Google Scholar]
  • 20.Hillerdal G Mesothelioma: cases associated with non-occupational and low dose exposures. Occup Environ Med. 1999;56(8):505–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Milano MT, Zhang H. Malignant pleural mesothelioma: a population-based study of survival. J Thorac Oncol. 2010;5(11):1841–8. [DOI] [PubMed] [Google Scholar]
  • 22.Yan TD, Popa E, Brun EA, et al. Sex difference in diffuse malignant peritoneal mesothelioma. Br J Surg. 2006;93(12):1536–42. [DOI] [PubMed] [Google Scholar]
  • 23.Pinton G, Brunelli E, Murer B, et al. Estrogen receptor-beta affects the prognosis of human malignant mesothelioma. Cancer Res. 2009;69(11):4598–604. [DOI] [PubMed] [Google Scholar]
  • 24.Pinton G, Moro L. Expression and therapeutic significance of estrogen receptor β in malignant pleural mesothelioma. Future Sci OA. 2017;3(2):FSO175-FSO. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Rich AL, Tata LJ, Stanley RA, et al. Lung cancer in England: information from the National Lung Cancer Audit (LUCADA). Lung Cancer. 2011;72(1):16–22. [DOI] [PubMed] [Google Scholar]
  • 26.Royal College of Physcians. National Lung Cancer Audit [April 24, 2020]. Available from: https://www.rcplondon.ac.uk/projects/national-lung-cancer-audit.
  • 27.Beckett P, Edwards J, Fennell D, et al. Demographics, management and survival of patients with malignant pleural mesothelioma in the National Lung Cancer Audit in England and Wales. Lung Cancer. 2015;88(3):344–8. [DOI] [PubMed] [Google Scholar]
  • 28.Murphy B, Fraeman K. A General SAS Macro to Implement Optimal N:1 Propensity Score Matching Within a Maximum Radius . Available from: https://support.sas.com/resources/papers/proceedings17/0812-2017.pdf.
  • 29.Marinaccio A, Corfiati M, Binazzi A, et al. The epidemiology of malignant mesothelioma in women: gender differences and modalities of asbestos exposure. Occupational and environmental medicine. 2018;75(4):254–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Pinton G, Thomas W, Bellini P, et al. Estrogen receptor β exerts tumor repressive functions in human malignant pleural mesothelioma via EGFR inactivation and affects response to gefitinib. PLoS One. 2010;5(11):e14110-e. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Rodríguez-Cid JR, García-Acevedo O, Benjamin-Contreras J, et al. Expression of estrogen receptor beta (ERβ) and its prognostic value in pleural mesothelioma. J Thorac Dis. 2019;11(4):1456–64. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Manente AG, Pinton G, Zonca S, et al. Intracellular lactate-mediated induction of estrogen receptor beta (ERβ) in biphasic malignant pleural mesothelioma cells. Oncotarget. 2015;6(28). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Marinaccio A, Nesti M. Analysis of survival of mesothelioma cases in the Italian register (ReNaM). European Journal of Cancer. 2003;39(9):1290–5. [DOI] [PubMed] [Google Scholar]
  • 34.Hyland RA, Ware S, Johnson AR, et al. Incidence trends and gender differences in malignant mesothelioma in New South Wales, Australia. Scand J Work Environ Health. 2007;33(4):286–92. [DOI] [PubMed] [Google Scholar]
  • 35.van Gerwen M, Alpert N, Flores R, et al. An overview of existing mesothelioma registries worldwide, and the need for a US Registry. Am J Ind Med. 2020;63(2):115–20. [DOI] [PubMed] [Google Scholar]

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