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J Cancer 2021; 12(2):498-507. doi:10.7150/jca.50536 This issue Cite

Research Paper

Sex Disparities in the Clinical Characteristics, Synchronous Distant Metastasis Occurrence and Prognosis: A Pan-cancer Analysis

Yutong Wang¹, Ziqian Zeng^1,2, Mingshuang Tang¹, Min Zhang³, Ye Bai³, Huijie Cui¹, Yao Xu⁴, Xu Guo^4,5, Wenjuan Ma⁶, Guijun Xu^4,7, Lisha Qi⁸, Jingyi Wang⁸, Siyu Chen¹, Dongqing Gu¹, Min Mao⁹ , Xin Wang¹ , Chao Zhang⁴

1. Department of Health Management Center (Epidemiology and Biostatistics), First Affiliated Hospital, Army Medical University, Chongqing 400038, China.
2. Department of Epidemiology, Chengdu Medical College, Chengdu, 610599, Sichuan province, China.
3. Department of Epidemiology and Health Statistics, School of Public Health and Management, Chongqing Medical University, Chongqing 400038, China.
4. Department of Bone and Soft Tissue Tumours, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China.
5. Department of Orthopedics, Cangzhou Central Hospital, Cangzhou, Hebei, 061000, China.
6. Department of Breast Imaging, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China.
7. Department of Orthopedics, Tianjin Hospital, Tianjin 300060, China.
8. Department of Pathology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China.
9. Department of Pathology and Southwest Cancer Center, First Affiliated Hospital, Army Medical University, Chongqing 400038, China.

✉ Corresponding authors: Xin Wang, Department of Health Management Center (Epidemiology and Biostatistics), First Affiliated Hospital, Army Medical University, Chongqing 400038, China. Tel: +86 17830912151, E-mail: wangxinmarinecom; Min Mao, Department of Pathology and Southwest Cancer Centre, First Affiliated Hospital, Army Medical University, Chongqing 400038, China. Tel: +86 17830505100, E-mail: mmarine510704com; Chao Zhang, Department of Bone and Soft Tissue Tumors, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Huanhu Xi Road, Tiyuan Bei, Hexi District, Tianjin 300060, China. Tel: +86 15222093833, E-mail: drzhangchaoedu.cn. More

Abstract

Background: This study aims to assess the sex disparities in clinical characteristics and synchronous distant metastasis occurrence at diagnosis, as well as the subsequent prognosis in non-sex-specific cancers.

Methods: The study included details from patients diagnosed with non-sex-specific cancers, during the period from 2010 to 2016, in the Surveillance, Epidemiology, and End Results (SEER) program. The distant metastasis prevalence and subsequent survival time were summarized in the total population and the population with specific cancers of different systems. The multivariable logistic and the Cox proportional hazards regressions were applied to evaluate the sex effect on distant metastasis occurrence and prognosis. The results were combined using meta-analysis.

Results: Across all non-sex-specific cancers, the pooled prevalence of distant metastasis was 15.2% (95% CI: 14.7-15.7%) and 7.1% (95% CI: 6.8-7.3%) for males and females, respectively. The pooled median survival time was 8.40 months (95% CI: 7.99-8.81) for male patients and 9.40 months (95% CI: 8.84-10.02) for female patients. After combining all non-sex-specific cancers, male patients displayed a higher distant metastasis occurrence than females (pooled OR=1.06, 95% CI: 1.04-1.08; P<0.01), as well as worse overall survival after distant metastasis (pooled HR=1.08, 95% CI: 1.05-1.10; P<0.01). The sex differences were more significant in patients younger than 65 years (P<0.01). Additionally, the sex influence on prognosis was most predominant amongst patients from Asian or Pacific Islander ethnic groups.

Conclusion: Male gender appears to be an independent risk factor associated with the occurrence and prognosis of synchronous distant metastasis. Therefore, sex-specific preventions and treatments should become the focus of future research.

Keywords: SEER, sex disparities, distant metastasis, prevalence, prognosis

Introduction

It is well established that gender plays an important role in the etiology, diagnosis, and prognosis of cancer [1-3]. These gender effects might be attributed to differences in environmental, biological, and behavioral factors between the sexes, including exposure to carcinogens, hormonal axis, comorbidities, tumor biology, molecular variations, health care utilization, and response to therapies [2,4-6]. Higher risks for cancer incidence and mortality were observed in males for a vast majority of sites at most ages [7-10]. These findings resulted in the hypothesis that gender might affect different stages of cancer progression [11-13]. Recent studies suggested that females were protected against metastasis occurrence in melanoma, esophageal cancer, pancreatic cancer, and thyroid carcinoma [14-17]. Moreover, higher overall survival and cancer-specific survival were observed in females with metastatic lung and gastric cancer than in male patients [18,19]. Furthermore, gender-related signatures were exhibited in up to 53% of clinically actionable genes, which indicated the necessity of sex-specific treatment for therapeutic targets with a strong gender effect [1].

Despite the significant progress that has been made in early detection and tumor growth inhibition, limited improvement has been achieved using preventive and therapeutic regimens for metastatic cancer [20,21]. Around 67-90% of cancer-related deaths were attributed to the metastasis of tumor cells rather than to the primary tumors [22,23]. When distant metastasis was detected, patients confronted a decrease of approximately 31-81% in the five-year relative survival rate, compared to those with localized carcinoma [24]. However, there have been few studies based on a comprehensive data source with a large sample size that have systematically investigated gender disparities in metastatic risk and prognosis across all cancers. Identifying the discrepancies in metastatic characteristics and prognosis is essential to establish a more profound understanding of cancer etiology and pathogenesis [25]. Patients can thus benefit from sex-specific metastatic screening, prevention, and treatment [25,26].

Based on data extracted from the Surveillance Epidemiology, and End Results (SEER) database, this study aimed to assess the sex disparities in the clinical characteristics and synchronous distant metastasis occurrence at diagnosis and to evaluate the sex disparities in prognosis across all cancers.

Materials and Methods

Data source and cohort selection

Data were obtained from the National Cancer Institute (NCI) SEER program, which comprised of detailed records of cancer incidence and survival for approximately 34.6% of the U.S. population. For the present study, patients were selected when diagnosed with malignant cancers, as confirmed by International Classification of Diseases for Oncology, 3rd edition (ICD-O-3) codes, from the SEER cohort within the period between 2010 and 2016. Within this cohort, patients were excluded if the diagnosis was achieved only after autopsy or via death certificate, or without clear distant metastasis information, or diagnosed with breast or genital system cancers (e.g., ovarian, cervical, and prostate), and with cancer types with <100 sample size. Therefore, the final study cohort comprised of 1,180,368 patients, meeting the research required criteria.

Statistical analysis

The patients' demographic and clinical characteristics were described by number and percentage (N, %). The categorical variables were compared using the Pearson chi-square test, while the ordinal categorical variables were compared using the rank-sum test. Patients were stratified into two groups according to median age (<65 years vs. ≥65 years). Within male and female patients with different cancer sites, the prevalence of distant metastasis was calculated as the metastatic percentage of the total number of cancer patients. Multivariable logistic regression was applied to determine the association of gender on the occurrence of distant metastasis in non-sex-specific cancers. Demographic and clinical characteristics (age, race, marital status, income, insurance, differentiated grade, T stage, and N stage) were included in the regression model for adjustments. Meta-analysis was applied to summarise the pooled prevalence of distant metastasis, as well as the adjusted male-to-female odds ratios for the total population and cancers of different systems.

Additionally, the Kaplan-Meier analysis was utilized to estimate median survival time (M±SE) and to compare the survival time of patients diagnosed with distant metastasis in both sex groups. Multivariable Cox proportional hazards regression model was conducted to evaluate the effect of male sex on the overall survival of cancer patients with distant metastasis. The model adjusted a series of variables at diagnosis, including age, race, marital status, income, insurance, differentiated tumor grade, T stage, N stage, number of metastatic sites, surgery on the primary site, receiving radiation therapy, and receiving chemotherapy. Meta-analysis was also applied to combine the survival time of patients with distant metastasis and summarise the adjusted effects of male sex on the survival of patients with metastatic cancers of different systems and the overall survival of all cancer patients with distant metastasis. Moreover, age (<65 years vs. ≥65 years) and race (White vs. Black vs. American Indian or Alaska native vs. Asian or Pacific Islander) stratified analyses were undertaken to investigate the effects of male sex on the distant metastasis occurrence and the prognosis.

Data were obtained from the SEER program, using SEER*Stat Software version 8.3.5. SPSS 23.0 (SPSS Inc., Chicago, IL, USA) was utilized for statistical analyses. Meta-analysis and forest plots were generated with the Comprehensive Meta-analysis version 3.3 (Biostat, Englewood, NJ, USA). All statistical tests were two-sided and significant levels were set at P <0.05.

Results

Population demographic and clinical characteristics

The patient selection procedure is illustrated as a flowchart, shown in Figure 1. Once included in the study, the patients' demographic distribution and clinical characteristics are displayed in Table 1. A total of 1,180,368 eligible patients were selected in the statistical analysis. The rates of male and female patients accounted for 56.0% and 44.0%, respectively. The median age at diagnosis was 65.00±14.82 years for the entire patients' cohort. On the other hand, the median age at diagnosis was 65.00±13.58 years and 65.00±16.24 years for male and female patients, respectively. A total of 279,573 (23.7%) patients were detected with distant metastasis at diagnosis [N=157450, (23.8%) for male and N=122123, (23.5%) for female]. In general, male patients were more likely to be in a married relationship and be covered by medical insurance and had lower income levels than female patients (P<0.01).

Regarding clinical characteristics, male patients suffered from higher tumor differentiated grade, advanced tumor, and nodal stage. They appeared to be predisposed to develop distant metastasis, whether in the liver, lung, or bone (P<0.01). Additionally, compared with female patients, male patients were more likely to receive radiation therapy and chemotherapy, and they were less likely to undergo surgical treatment (P<0.01).

Sex disparities in the distant metastasis prevalence

As displayed in Figure 2, the distant metastasis prevalence across all non-sex-specific cancers for males ranged from 0.7% (95% CI: 0.4-1.1%, lip) to 51.9% (95% CI: 51.6-52.2%, lung and bronchus). Similarly, the pooled prevalence varied between 0.4% (95% CI: 0.2-1.1%, lip) to 48.4% (95% CI: 48.1-48.6%, lung and bronchus) for female patients. In general, the distant metastasis pooled prevalence for male and female patients was 15.2% (95% CI: 14.7-15.7%) and 7.1% (95% CI: 6.8-7.3%), respectively, across all non-sex-specific cancers. Interestingly, the inconsistent pooled prevalence was observed for different cancer systems, when analyzed according to sex type. Specifically, the digestive system showed the highest pooled prevalence of distant metastasis in males (24.9%, 95% CI: 18.9-32.1%), while mesothelioma exhibited the highest prevalence (24.8%, 95% CI: 22.3-27.5%) in female patients. Conversely, the eye and orbit displayed the lowest prevalence amongst both male and female patients (1.7%, 95% CI: 1.3-2.3% for male and 1.6%, 95% CI: 1.1-2.3% for female).

As suggested in Figure 4, the prevalence of distant metastasis displayed an age-dependent characteristic. Specifically, when patients' age rose from 0 to 30 years, the pooled prevalence of distant metastasis for both males and females decreased significantly to the lowest. Subsequently, the prevalence of metastasis for males and females showed an increasing trend with the rise in patients' age, reaching a peak at the age between 71 and 80 years. Following this period, amongst both sexes, the prevalence rate dropped with the increase in age. The distant metastasis prevalence was higher in males than in females for patients at the age before 61 to 70 years, while the prevalence of distant metastasis was lower in males than in female patients aged over 70 years. The male-to-female prevalence ratio increased remarkably with age, reaching its peak from 0 to 30 years. Within the 31 to 70 year age-period, the aging process appeared to affect the male-to-female prevalence ratio, which decreased markedly to approximately 1.00. Subsequently, the male-to-female prevalence ratio plateaued at around 0.90 from age over 70 years.

According to multivariable logistic regression, the male sex effect on the development of distant metastasis varied according to cancer sites. Male sex represented an independent metastatic risk factor in other non-epithelia skin cancer (OR=1.96, 95% CI: 1.45-2.64; P<0.01), in thyroid cancer (OR=1.86, 95% CI: 1.66-2.08; P<0.01) and in melanoma (OR=1.66, 95% CI: 1.54-1.79; P<0.01). In contrast, male sex showed a protective effect in gallbladder cancer (OR=0.82, 95% CI: 0.72-0.94; P<0.01) and other biliary cancer (OR=0.82, 95% CI: 0.73-0.94; P<0.01). Nevertheless, the pooled meta-analysis results demonstrated that male sex still represented an independent risk factor for developing distant metastasis in digestive systems (pooled OR=1.08, 95% CI: 1.01-1.16; P<0.01), the oral cavity and pharynx (pooled OR=1.14, 95% CI: 1.04-1.26; P<0.01), the respiratory system (pooled OR=1.04, 95% CI: 1.02-1.06; P<0.01), and in skin, excluding basal and squamous cell, (pooled OR=1.69, 95% CI: 1.53-1.86; P<0.01). After combining all non-sex-specific cancers, male patients appeared to have a significantly higher occurrence of distant metastasis than females (pooled OR=1.06, 95% CI: 1.04-1.08; P<0.01) (see Figure 2).

Furthermore, as showed in Table S1, when stratified by age groups (age <65 years and age ≥65 years), males were still more likely to develop distant metastasis (pooled OR=1.23, 95% CI: 1.27-1.29; P<0.01 for age <65 years; pooled OR=1.04, 95% CI: 1.02-1.06; P<0.01 for age ≥65 years). The sex differences among patients aged less than 65 years were more significant than patients aged 65 years or older (P<0.01).

Table S2 shows the analysis performed according to different ethnic groups. Male gender was significantly associated with the risk for distant metastasis among all race groups (pooled OR=1.07, 95% CI: 1.05-1.09; P<0.01 for white; pooled OR=1.08, 95% CI: 1.04-1.12; P<0.01 for black; pooled OR=1.16, 95% CI: 1.00-1.33; P=0.045 for American Indian or Alaska native; pooled OR=1.13, 95% CI: 1.04-1.23; P<0.01 for Asian or Pacific Islander) (see Table S2). There was no statistically significant difference amongst all four ethnic groups (P=0.43).

Sex disparities in the prognosis of metastatic cancer

A total of 279,573 patients developed distant metastasis. Amongst these, male and female patients accounted for 56.3% and 43.7%, respectively. Figure 3 illustrates the median survival time of male patients: this outcome was 8.40 months (95% CI: 7.99-8.81) across all non-sex-specific cancers, ranging from 2.00 months (95% CI: 1.86-2.14 for liver and intrahepatic bile duct) to 39.00 months (95% CI: 25.75-52.25 for Non-Hodgkin lymphoma) for each cancer site. The female patients' analysis demonstrated that the pooled median survival time was 9.40 months (95% CI: 8.84-10.02). Furthermore, for each cancer site in female patients, the median survival time varied from 3.00 months (95% CI: 0.79-5.21, for oropharynx) to 52.00 months (95% CI: 28.21-75.79, for Non-Hodgkin lymphoma).

 Figure 1 

Flow-chart of the non-sex-specific cancer patient selection procedure.

 Figure 2 

Forest plot for the pooled prevalence of metastasis by sex and the effect of male sex on the development of metastasis for different non-sex-specific cancer systems.

 Figure 3 

Forest plot for the prognosis of metastasis and the effect of male sex on it across different non-sex-specific cancer types.

Results of multivariable Cox regression are displayed in Figure 3. The hazard ratio of male sex varied from 0.55 (95% CI: 0.33-0.90; P=0.02, for Oropharynx) to 1.72 (95% CI: 1.21-2.46; P<0.01, for Nasopharynx) for the overall survival of distant metastasis in different cancer sites. The pooled results, from meta-analysis for different cancer systems, suggested that male sex was negatively associated with the overall survival after distant metastasis in digestive systems (pooled HR=1.09, 95% CI: 1.05-1.13; P<0.01), mesothelioma (pooled HR=1.24, 95% CI: 1.03-1.50; P=0.03), respiratory system (pooled HR=1.22, 95% CI: 1.08-1.38; P<0.01) and skin, excluding basal and squamous cell (pooled HR=1.11, 95% CI: 1.01-1.21; P=0.02). After combining all non-sex-specific cancers, male patients displayed a significantly reduced overall survival outcome after distant metastasis compared with females (pooled HR=1.08, 95% CI: 1.05-1.10; P<0.01).

As showed in Table S3, when stratified by age groups (age <65 years and age ≥65 years), male sex was significantly associated with worse overall survival after distant metastasis (pooled HR=1.18, 95% CI: 1.16-1.20; P<0.01 for age <65 years; pooled HR=1.06, 95% CI: 1.02-1.10; P<0.01 for age ≥65 years). The effect of male sex on patients' aged younger than 65 years was higher than the patients aged 65 years or older (P<0.01).

 Figure 4 

The pooled male and female prevalence of metastasis and the male-to-female prevalence ratio across different age groups.

Comparison amongst different ethnic groups supported a similar conclusion, as demonstrated in Table S4: male gender was associated with an adverse prognosis after distant metastasis among all race groups (pooled HR=1.06, 95% CI: 1.03-1.09; P<0.01 for white; pooled HR =1.07, 95% CI: 1.03-1.11; P<0.01 for black; pooled HR =1.21, 95% CI: 1.16-1.23; P<0.01 for Asian or Pacific Islander). Patients of American Indian or Alaska native race were excluded from this analysis due to the limited sample size. The sex differences were higher amongst Asian or Pacific Islander patients than in patients from other ethnic groups (P<0.01).

Discussion

Based on data representing around 34.6% of the U.S. population, the gender discrepancies in distant metastasis occurrence and overall survival after metastasis were evaluated in this study. The main finding was that male patients showed higher risks for distant metastasis occurrence and worse overall survival than females for the majority of cancer types. Consistent pooled results were observed across all non-sex-specific cancers. The effects of male sex on both the occurrence and prognosis of distant metastasis were greater in patients younger than 65 years. Moreover, the male-to-female hazard ratio for overall survival after metastasis was significantly higher in Asian or Pacific Islander populations than other ethnic groups. Additionally, the pooled prevalence of distant metastasis increased considerably after the age of 30 years and dropped slightly after the age of 70 years.

The effects of male sex varied for different cancer types. Consistent with previous studies, females with esophageal cancer or pancreatic cancer were protected against metastasis and had a more favorable subsequent survival [15,16,27-29]. But inconsistent patterns were observed for gastric cancer. Data from Swedish cancer registers suggested no gender impact on either distant metastasis occurrence or prognosis, while in our study, a positive relationship between male sex and the metastatic risk was reported [30]. Prior studies suggested that females were less likely to develop distant metastasis in either colon or rectal cancer, and female patients younger than 45 years had a survival advantage for metastatic colorectal cancer [12,31,32]. However, as the age of female patients increased, these differences diminished until they became non-significant [12]. Similar risk and survival trends were observed for males and females in our analyses of the colon and rectal cancer, as the sex discrepancies presented when patients were younger than 65 years.

In this study, female patients had a decreased risk of developing distant metastasis in melanoma, consistent with a previous report [14]. Concerning prognosis, a sex effect on death due to melanoma was only observed in localized or regional disease (data from the SEER database 1992-2011) [33]. In contrast, this study (data from the SEER database 2010-2016) found a slight difference in overall survival between male and female patients with metastatic melanoma. Based on our analysis, carcinoma of the lung and bronchus was associated with lower risks of distant metastasis occurrence and worse prognosis in males compared with females. Consistent trends were found in other studies, and notably, EGFR inhibitors exhibited better performance in treating female patients with lung cancer than male patients [34]. A series of studies assessed the effect of gender on the risk of distant metastasis in thyroid carcinoma [17,35,36]. Female sex was found to be a protective factor for distant metastasis in our study, consistent with an earlier meta-analysis of 29 studies [17]. As previously reported, male patients were more likely to have metastatic spread in laryngeal cancer and renal cancer, while a survival advantage in males was found in metastatic bladder cancer in this study [37-39].

A higher risk for distant metastasis occurrence was also observed in male patients with other non-epithelial skin cancers and retroperitoneal cancer, while male sex had a protective effect on the risk for metastatic gallbladder cancer and other biliary cancers. In addition, a female survival advantage was observed in nasopharyngeal carcinoma, mesothelioma, liver cancer, and carcinoma of the anus, anal canal, and anorectum after distant metastasis, whereas male patients had a more favorable prognosis in oropharyngeal cancer and myeloma. These gender discrepancies were first identified in our study.

Interpreting the sex disparities in distant metastasis occurrence and prognosis is more challenging because of the necessity to consider multiple potential factors and their interactions. Lower health awareness, less health care utilization, and fewer preventive health behaviors in males might lead to diagnostic delays [4,40,41]. These differences might explain why male patients had worse clinical characteristics than females at diagnosis, including higher tumor differentiated grade, advanced tumor stage, and nodal stage, as reported in this study (Table 1) and consistently found throughout previous publications [33,42]. More comorbid conditions at diagnosis, greater use of tobacco, and higher alcohol consumption in males might also contribute to a higher risk for distant metastasis occurrence and worse subsequent survival [4,43-45].

There is also growing evidence that the hormone axis that distinguishes males from females might influence the progression of non-sex-specific cancers, as measured by tumor grade, lymphatic vessel invasion, proliferation index, and mutation status [2,4]. Previous publications have suggested that the expression of estrogen receptors is related to the clinical features of gastric cancer by regulating the growth and proliferation of gastric cancer cells [46-48]. Meanwhile, positive expression of estrogen and progesterone receptors might contribute to an earlier tumor stage, higher histologic differentiation, and a more favorable prognosis in lung cancer patients [2,49].

Different molecular characterizations between male and female patients are receiving increased global attention. Biallelic expression of “escape from X-inactivation tumor-suppressor” (EXITS) genes in females might reduce the risk of complete functional loss of X chromosomes caused by a single mutation [50,51]. Therefore, this discrepancy could partially explain the lower risk of metastasis in females across many cancers. Additionally, the interactions between sex chromosomes and the level of sex hormones might also have an impact on cell metabolism and the immune response of patients [52]. Comparing to males, females generally display greater innate and adaptive immune responses, leading to more rapid elimination of pathogens and lower tumor susceptibility [53]. Gender-related signatures were exhibited in up to 53% of clinically actionable genes [1]. These sex discrepancies in molecular patterns might influence the efficacy and toxicity of chemotherapy, as well as the clinical outcomes of patients [2,26]. The rates of EGFR-sensitizing mutations, which were found to be higher in females than males, were associated with improved survival in metastatic non-small-cell lung cancer (NSCLC) patients [34,54]. This reflected the sex difference in therapeutic response to EGFR inhibitors. Among patients with colon cancer, gender played a pivotal role in genetic polymorphisms in drug-associated clinically actionable genes (XPD, MTHFR, and ECCR1 genes), leading to different toxic responses to chemotherapies [55].

To our knowledge, this is the first study to systematically investigate sex discrepancies in metastatic risk and subsequent prognosis across non-sex-specific cancers. Our results confirm the hypothesis that female patients are less likely to establish metastases at distant sites, such that females present a better subsequent prognosis for the vast majority of cancer types. Consistent trends were observed in age- and race-stratified analyses. These findings highlight the importance of conducting sex-specific distant metastasis screening, prevention, and treatment. Therefore, male patients should be provided with more health education and services, and they could also be selected as potential candidates for more frequent screening for distant metastasis. Meanwhile, as the important roles of sex hormones in the development and treatment of cancers have been reported in previous studies [56-61], it is a promising way to treat males and females as biologically different groups for the prevention and treatment of cancer development and progression [52]. Moreover, sex disparities may also exist in the outcomes of surgical treatment, radiotherapy, and modality treatments, and further investigation is required to explore the most effective treatment strategy for each sex [52].

There are several limitations in this study. A few factors that have been recognized as independently associated with cancer progression were not included, such as tobacco and alcohol consumption and the comorbidity burden. The outcome reported in our study is the overall survival after distant metastasis, although eligible patients may have died from comorbidities other than the target cancer. Further research should evaluate the gender effects on cancer-specific death. Significant heterogeneities were found in the meta-analysis, and thus interpretations of the combined results should be made with caution. The present study was performed based on the patients' characteristics at admission, and all the metastatic patients included in this study were synchronous metastasis. However, the record of the occurrence of metachronous metastasis during follow-up was not available in the database, and thus the results might be partially affected. Further comparison of the synchronous and metachronous metastasis should be valuable and be conducted in the future with available data. Additionally, this study was conducted using a single database with a large sample size, external validation with another national database or external cohort, and comprehensive meta-analysis could be applied to improve credibility.

Conclusion

Male cancer patients present worse clinical characteristics than female patients at diagnosis. Moreover, the male gender is an independent risk factor associated with the occurrence and prognosis of synchronous distant metastasis. Thus, more cancer screening opportunities and health care services should be provided to male subjects. Furthermore, the results of the present study imply that individualized treatments should take sex differences into account in the future.

Abbreviations

SEER: Surveillance, Epidemiology, and End Results; OR: Odds ratio; HR: Hazard ratio; CI: Confidence interval; EGFR: Epidermal growth factor receptor; SE: Standard error.

Supplementary Material

Supplementary figures and tables.

Acknowledgements

This work was supported by the Natural Science Foundation of China (81702161, 81801781, 81802508, 81903398, 8191101553, 81903393), the Top Talent Training Program of the First Affiliated Hospital of PLA Army Medical University (SWH2018BJKJ-12, SWH2018QNKJ-11), the Natural Science Foundation of Tianjin Science and Technology Committee China (17JCQNJC11000), China Postdoctoral Science Foundation Grant (2018M643858), Cangzhou Research and Development Program (172302043), and the Chongqing Natural Science Foundation Program (cstc2019jcyj-msxmX0466, cstc2020jcyj-msxmX0021). Thank Dr. Meng Zhou for providing valuable suggestions for improving the manuscript.

Author Contributions

Yutong Wang was involved in conceptualization, data curation, formal analysis, software, writing original draft, and writing review and editing. Ziqian Zeng, Mingshuang Tang, Min Zhang, Ye Bai, Huijie Cui, Yao Xu and Xu Guo were involved in methodology, resources, data curation, formal analysis, and writing. Wenjuan Ma, Guijun Xu, Lisha Qi, Jingyi Wang, Siyu Chen, Dongqing Gu were involved in methodology, resources, writing review, and editing. Min Mao, Xin Wang, Chao Zhang were involved in conceptualization, methodology, investigation, resources, supervision, project administration, and writing. All authors approved the final version.

Data Availability Statement

This study used previously collected, de-identified data, which is available in the SEER database [https://seer.cancer.gov/]. The SEER is a public database, and data extracted from SEER was deemed “non‐human study” by the North Shore LIJ IRB committee.

Competing Interests

The authors have declared that no competing interest exists.

References

1. Yuan Y, Liu L, Chen H. et al. Comprehensive Characterization of Molecular Differences in Cancer between Male and Female Patients. Cancer Cell. 2016;29:711-22

2. Pal SK, Hurria A. Impact of age, sex, and comorbidity on cancer therapy and disease progression. J Clin Oncol. 2010;28:4086-93

3. Innos K, Padrik P, Valvere V. et al. Sex differences in cancer survival in Estonia: a population-based study. Bmc Cancer. 2015;15:72

4. Radkiewicz C, Johansson A, Dickman PW. et al. Sex differences in cancer risk and survival: A Swedish cohort study. Eur J Cancer. 2017;84:130-40

5. Shang Y. Hormones and cancer. Cell Res. 2007;17:277-9

6. Ramchandran K, Patel JD. Sex differences in susceptibility to carcinogens. Semin Oncol. 2009;36:516-23

7. Cook MB, Dawsey SM, Freedman ND. et al. Sex disparities in cancer incidence by period and age. Cancer Epidemiol Biomarkers Prev. 2009;18:1174-82

8. Cook MB, McGlynn KA, Devesa SS. et al. Sex disparities in cancer mortality and survival. Cancer Epidemiol Biomarkers Prev. 2011;20:1629-37

9. Jung KW, Park S, Shin A. et al. Do female cancer patients display better survival rates compared with males? Analysis of the Korean National Registry data, 2005-2009. Plos One. 2012;7:e52457

10. Cook MB, Chow WH, Devesa SS. Oesophageal cancer incidence in the United States by race, sex, and histologic type, 1977-2005. Br J Cancer. 2009;101:855-9

11. Scoggins CR, Ross MI, Reintgen DS. et al. Gender-related differences in outcome for melanoma patients. Ann Surg. 2006;243:693-8 698-700

12. Hendifar A, Yang D, Lenz F. et al. Gender disparities in metastatic colorectal cancer survival. Clin Cancer Res. 2009;15:6391-7

13. Mervic L. Time course and pattern of metastasis of cutaneous melanoma differ between men and women. Plos One. 2012;7:e32955

14. Joosse A, de Vries E, Eckel R. et al. Gender differences in melanoma survival: female patients have a decreased risk of metastasis. J Invest Dermatol. 2011;131:719-26

15. Zhu C, You Y, Liu S. et al. A Nomogram to Predict Distant Metastasis for Patients with Esophageal Cancer. Oncol Res Treat. 2020;43:2-9

16. Liu X, Fu Y, Chen Q. et al. Predictors of distant metastasis on exploration in patients with potentially resectable pancreatic cancer. Bmc Gastroenterol. 2018;18:168

17. Vuong HG, Duong U, Pham TQ. et al. Clinicopathological Risk Factors for Distant Metastasis in Differentiated Thyroid Carcinoma: A Meta-analysis. World J Surg. 2018;42:1005-17

18. Ren Y, Dai C, Zheng H. et al. Prognostic effect of liver metastasis in lung cancer patients with distant metastasis. Oncotarget. 2016;7:53245-53

19. Yang D, Hendifar A, Lenz C. et al. Survival of metastatic gastric cancer: Significance of age, sex and race/ethnicity. J Gastrointest Oncol. 2011;2:77-84

20. Guan X. Cancer metastases: challenges and opportunities. Acta Pharm Sin B. 2015;5:402-18

21. Lambert AW, Pattabiraman DR, Weinberg RA. Emerging Biological Principles of Metastasis. Cell. 2017;168:670-91

22. Eubanks P. Nursing restructuring renews focus on patient-centered care. Hospitals. 1990;64:60 62

23. Dillekas H, Rogers MS, Straume O. Are 90% of deaths from cancer caused by metastases? Cancer Med. 2019;8:5574-6

24. Howlader N NAKM. SEER Cancer Statistics Review, 1975-2016, National Cancer Institute, Bethesda, MD. In. 2019 p. 1975-2016

25. Wang J, Li S, Liu Y. et al. Metastatic patterns and survival outcomes in patients with stage IV colon cancer: A population-based analysis. Cancer Med. 2020;9:361-73

26. Kim HI, Lim H, Moon A. Sex Differences in Cancer: Epidemiology, Genetics and Therapy. Biomol Ther (Seoul). 2018;26:335-42

27. Ai D, Zhu H, Ren W. et al. Patterns of distant organ metastases in esophageal cancer: a population-based study. J Thorac Dis. 2017;9:3023-30

28. Wu SG, Zhang WW, He ZY. et al. Sites of metastasis and overall survival in esophageal cancer: a population-based study. Cancer Manag Res. 2017;9:781-8

29. Nipp R, Tramontano AC, Kong CY. et al. Disparities in cancer outcomes across age, sex, and race/ethnicity among patients with pancreatic cancer. Cancer Med. 2018;7:525-35

30. Riihimaki M, Hemminki A, Sundquist K. et al. Metastatic spread in patients with gastric cancer. Oncotarget. 2016;7:52307-16

31. Riihimaki M, Hemminki A, Sundquist J. et al. Patterns of metastasis in colon and rectal cancer. Sci Rep. 2016;6:29765

32. Peng J, Ding Y, Tu S. et al. Prognostic nomograms for predicting survival and distant metastases in locally advanced rectal cancers. Plos One. 2014;9:e106344

33. Enninga E, Moser JC, Weaver AL. et al. Survival of cutaneous melanoma based on sex, age, and stage in the United States, 1992-2011. Cancer Med. 2017;6:2203-12

34. Barquin M, Calvo V, Garcia-Garcia F. et al. Sex is a strong prognostic factor in stage IV non-small-cell lung cancer patients and should be considered in survival rate estimation. Cancer Epidemiol. 2020;67:101737

35. Goffredo P, Sosa JA, Roman SA. Differentiated thyroid cancer presenting with distant metastases: a population analysis over two decades. World J Surg. 2013;37:1599-605

36. Ito Y, Kihara M, Takamura Y. et al. Prognosis and prognostic factors of papillary thyroid carcinoma in patients under 20 years. Endocr J. 2012;59:539-45

37. Aron M, Nguyen MM, Stein RJ. et al. Impact of gender in renal cell carcinoma: an analysis of the SEER database. Eur Urol. 2008;54:133-40

38. Megwalu UC, Sikora AG. Survival outcomes in advanced laryngeal cancer. JAMA Otolaryngol Head Neck Surg. 2014;140:855-60

39. Mungan NA, Aben KK, Schoenberg MP. et al. Gender differences in stage-adjusted bladder cancer survival. Urology. 2000;55:876-80

40. Wang Y, Freemantle N, Nazareth I. et al. Gender differences in survival and the use of primary care prior to diagnosis of three cancers: an analysis of routinely collected UK general practice data. Plos One. 2014;9:e101562

41. Courtenay WH. Constructions of masculinity and their influence on men's well-being: a theory of gender and health. Soc Sci Med. 2000;50:1385-401

42. Wei Y, Wu YP, Xu N. et al. Sex-related differences in clinicopathological features and survival of patients with primary urethral carcinoma: a population-based study. Onco Targets Ther. 2017;10:3381-9

43. Janssen-Heijnen ML, Houterman S, Lemmens VE. et al. Prognostic impact of increasing age and co-morbidity in cancer patients: a population-based approach. Crit Rev Oncol Hematol. 2005;55:231-40

44. Janjigian YY, McDonnell K, Kris MG. et al. Pack-years of cigarette smoking as a prognostic factor in patients with stage IIIB/IV nonsmall cell lung cancer. Cancer-Am Cancer Soc. 2010;116:670-5

45. Meadows GG, Zhang H. Effects of Alcohol on Tumor Growth, Metastasis, Immune Response, and Host Survival. Alcohol Res. 2015;37:311-22

46. Wu CW, Tsay SH, Chang TJ. et al. Clinicopathologic comparisons between estrogen receptor-positive and -negative gastric cancers. J Surg Oncol. 1992;51:231-5

47. Kim HW, Kim JH, Lim BJ. et al. Sex Disparity in Gastric Cancer: Female Sex is a Poor Prognostic Factor for Advanced Gastric Cancer. Ann Surg Oncol. 2016;23:4344-51

48. Camargo MC, Goto Y, Zabaleta J. et al. Sex hormones, hormonal interventions, and gastric cancer risk: a meta-analysis. Cancer Epidemiol Biomarkers Prev. 2012;21:20-38

49. Hua H, Zhang H, Kong Q. et al. Mechanisms for estrogen receptor expression in human cancer. Exp Hematol Oncol. 2018;7:24

50. Arnold AP, Disteche CM. Sexual Inequality in the Cancer Cell. Cancer Res. 2018;78:5504-5

51. Dunford A, Weinstock DM, Savova V. et al. Tumor-suppressor genes that escape from X-inactivation contribute to cancer sex bias. Nat Genet. 2017;49:10-6

52. Wagner AD, Oertelt-Prigione S, Adjei A. et al. Gender medicine and oncology: report and consensus of an ESMO workshop. Ann Oncol. 2019;30:1914-24

53. Klein SL, Flanagan KL. Sex differences in immune responses. Nat Rev Immunol. 2016;16:626-38

54. Tam IY, Chung LP, Suen WS. et al. Distinct epidermal growth factor receptor and KRAS mutation patterns in non-small cell lung cancer patients with different tobacco exposure and clinicopathologic features. Clin Cancer Res. 2006;12:1647-53

55. Ruzzo A, Graziano F, Galli F. et al. Sex-Related Differences in Impact on Safety of Pharmacogenetic Profile for Colon Cancer Patients Treated with FOLFOX-4 or XELOX Adjuvant Chemotherapy. Sci Rep. 2019;9:11527

56. Deli T, Orosz M, Jakab A. Hormone Replacement Therapy in Cancer Survivors - Review of the Literature. Pathol Oncol Res. 2020;26:63-78

57. Orsted DD, Nordestgaard BG, Bojesen SE. Plasma testosterone in the general population, cancer prognosis and cancer risk: a prospective cohort study. Ann Oncol. 2014;25:712-8

58. Montella M, D'Arena G, Crispo A. et al. Role of Sex Hormones in the Development and Progression of Hepatitis B Virus-Associated Hepatocellular Carcinoma. Int J Endocrinol. 2015;2015:854530

59. Marzagalli M, Montagnani MM, Casati L. et al. Estrogen Receptor beta in Melanoma: From Molecular Insights to Potential Clinical Utility. Front Endocrinol (Lausanne). 2016;7:140

60. Nelson RA, Levine AM, Bernstein L. Reproductive factors and risk of intermediate- or high-grade B-Cell non-Hodgkin's lymphoma in women. J Clin Oncol. 2001;19:1381-7

61. Thomas C, Gustafsson JA. The different roles of ER subtypes in cancer biology and therapy. Nat Rev Cancer. 2011;11:597-608

Author contact

Corresponding authors: Xin Wang, Department of Health Management Center (Epidemiology and Biostatistics), First Affiliated Hospital, Army Medical University, Chongqing 400038, China. Tel: +86 17830912151, E-mail: wangxinmarinecom; Min Mao, Department of Pathology and Southwest Cancer Centre, First Affiliated Hospital, Army Medical University, Chongqing 400038, China. Tel: +86 17830505100, E-mail: mmarine510704com; Chao Zhang, Department of Bone and Soft Tissue Tumors, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Huanhu Xi Road, Tiyuan Bei, Hexi District, Tianjin 300060, China. Tel: +86 15222093833, E-mail: drzhangchaoedu.cn.

Received 2020-7-10
Accepted 2020-10-25
Published 2021-1-1

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