Literature DB >> 32703313

Influence of marital status on overall survival in adult patients with chordoma: a SEER-based study.

Chao Tang1, Ruiliang Wang2, Qingguo Lu3, Shantao Wang3, Gen Jia1, Pengfei Cao1, Xinfa Nie4, Hailong Zhang5.   

Abstract

BACKGROUND: As a rare primary bone tumor, no studies have reported the relationship between prognosis and marital status in patients with chordoma.
METHODS: We classified patients with chordoma identified from the Surveillance, Epidemiology, and End Results (SEER) database from 1975 to 2016 into four groups: married, divorced/separated, widowed, and single groups. Kaplan-Meier curves with log-rank test and Cox regression were used to analyze the effect of marital status on overall survival (OS).
RESULTS: A total of 1080 patients were included in the study: 700 (64.8%) were married, 88 (8.1%) were divorced/separated, 78 (7.2%) were widowed, and 214 (19.8%) were single. Among the 4 groups, the 5-year OS (45.2%), 10-year OS (12.5%), and median OS (56.0 months) were the lowest in the widowed group. After including age, sex, primary site, marital status, disease stage, tumor size, histological type, and treatment pattern, multivariate analysis showed that marital status was still an independent risk factor for patients with chordoma, and widowed patients had the lowest OS (hazard ratio [HR] 1.71; 95% confidence interval [CI] 1.25-2.33, p < 0.001) compared with married patients. Similar results were observed after stratifying the primary site and disease stage.
CONCLUSION: Marital status was an independent prognostic indicator for adult patients with chordoma, and marital status was conducive to patient survival. Compared with married patients, widowed patients have a higher risk of death.

Entities:  

Keywords:  Chordoma; Marital status; Overall survival; Prognosis; SEER

Mesh:

Year:  2020        PMID: 32703313      PMCID: PMC7376721          DOI: 10.1186/s13018-020-01803-6

Source DB:  PubMed          Journal:  J Orthop Surg Res        ISSN: 1749-799X            Impact factor:   2.359


Introduction

Chordomas are rare bone tumors that accounts for approximately 20% of primary spinal tumors and 3% of all bone tumors [1]. It is a rare and locally destructive tumor that originates from the residual tissue of the embryonic spinal cord structure and can occur anywhere along the midline bone, especially the slope of the skull base, the saddle area, and the tail of the spine [2, 3]. A survey of European and American populations showed that the incidence rate of chordomas was approximately 0.08/100,000, which was slightly higher in males [4]. Although chordomas grow slowly, due to their aggressive and easy metastasis, chordoma can infiltrate the surrounding bone structure [5]. Due to its high recurrence rate, which seriously affects the survival rate and the quality of life of patients, the total 5-year survival rate was only approximately 67% [6]. Many factors affect the prognosis of patients with chordoma. Previous studies have shown that surgical margin and distant metastasis were independent prognostic factors in patients with chordoma [7, 8]. In addition, patient age, histological type, and tumor size may also affect the survival of patients with chordoma [7, 9, 10]. Marital status has always been closely related to the prognosis of cancer. Many studies have confirmed that marital status may affect the prognosis of various tumors, including osteosarcoma [11], chondrosarcoma [12], penile cancer [13], and breast cancer [14]. However, retrospective or prospective studies have not been conducted to report whether marital status affects the survival of adult patients with chordoma. Therefore, the purpose of this study was to investigate the effect of marital status on the survival of patients with chordoma according to the Surveillance, Epidemiology, and End Results (SEER) database.

Materials and methods

Patient selection

The patients we studied were selected from the Surveillance Epidemiology and End Results (SEER) database funded by the National Cancer Institute. The SEER database covers approximately 28% of the USA population and includes demographic information and cancer characteristics, such as year of diagnosis, age, origin, race, insurance, marital status, primary tumor location, income status, tumor grade, disease stage, histological type, tumor-node-metastasis (TNM) stage, treatment modality, and survival time [15]. The National Cancer Institute’s SEER*Stat software (version 8.3.6; SEER 18 Regs Custom Data (with additional treatment fields), November 2018 Sub (1975–2016 varying) database) was used in this study. We included 1521 patients diagnosed with chordoma between 1 January, 1975 and 31 December 2016 based on the International Classification of Diseases for Oncology (9370: chordoma, NOS; 9371: chondroid chordoma; 9372: dedifferentiated chordoma). The exclusion criteria were as follows: (a) not one primary tumor only (n = 298); (b) primary site code not 41.0, 41.2, or 41.4 (n = 9); (c) marital status unknown or domestic partner (n = 61); (d) unknown survival time (n = 2); and (e) patients under 18 years of age (n = 71). Finally, based on the above screening criteria, we were left with 1080 eligible patients diagnosed with chordoma.

Study variables

Variable definition information about year of diagnosis, age at diagnosis, sex, primary site, marital status, disease stage, tumor size, histological type, treatment pattern (surgery [16], radiotherapy, chemotherapy), and survival time can be found in the SEER database. The starting point of the follow-up was the date of diagnosis of chordoma. The overall survival (OS) time is the length of time from the date of diagnosis to the end of the patient’s follow-up or death.

Statistical analysis

Chi-square analysis was performed to evaluate the clinical characteristics of the four marital statuses in patients with chordoma. Kaplan-Meier curves were used to estimate the factors related to the OS, 5-year OS, and 10-year OS of patients with chordoma, and the log-rank test was used to analyze the difference between the curves. Univariate and multivariate Cox regression models were performed to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) to analyze independent prognostic factors associated with patients with chordoma. All statistical analyses used Statistical Package for the Social Sciences software (version 24.0; SPSS, Chicago, USA) and R version 3.5.3 (R Foundation for Statistical Computing, http://www.r-project.org/). The Survminer package included in Kaplan-Meier analysis with log-rank testing was applied to conduct the survival data analysis and visualization (Drawing Survival Curves using ‘ggplot2’ [R package survminer version 0.2.0]). Univariate Cox proportional hazards regression and multivariate Cox proportional hazards regression with the Wald test were performed to determine risk factors associated with overall mortality and cancer-specific mortality. Statistical significance was considered when the p value is ≤ 0.05 (both sides).

Results

Demographic and clinicopathologic characteristics of patients with chordoma

According to the inclusion and exclusion criteria in Fig. 1, our study included a total of 1080 eligible patients with chordoma from 1975 to 2017. The number of married, divorced/separated, widowed, and single group were 700 (64.8%), 88 (8.1%), 78 (7.2%), and 214 (19.8%), respectively. Table 1 shows the clinical characteristics and demographic of all adult patients with chordoma. The chi-square test showed that there were significant differences in the five variables of diagnosis year (p = 0.014), age at diagnosis (p < 0.001), sex (p < 0.001), primary site (p = 0.019), and surgery (p < 0.001). With the increase in years, the proportion of patients with chordoma also increased. In the whole cohort, the majority of patients were male (59.9%), the primary site was bones of the skull and face and associated joints (40.4%), and localized stage predominated (40.9%). In addition, the percentages of older (> 60 years, 94.9%), female (73.1%), and non-surgery (37.2%) patients in the widowed group were also the highest.
Fig. 1

Schematic flow diagram of the inclusion and exclusion criteria for our study cohort

Table 1

Baseline demographic and clinical characteristics of chordoma patients in our study

CharacteristicTotalno. (%)MarriedDivorced/separatedWidowedSinglep value
No. (%)No. (%)No. (%)No. (%)
Total1080700 (64.8)88 (8.1)78 (7.2)214 (19.8)
Year of diagnosis0.014
 1975–198898 (9.1)70 (10.0)4 (4.5)12 (15.4)12 (5.6)
 1988–2002262 (24.3)181 (25.9)19 (21.6)20 (25.6)42 (19.6)
 2003–2016720 (66.7)449 (64.1)65 (73.9)46 (59.0)160 (74.8)
Age at diagnosis< 0.001
 < 40242 (22.4)131 (18.7)18 (20.5)0 (0.0)93 (43.5)
 40–60412 (38.1)294 (42.0)35 (39.8)4 (5.1)79 (36.9)
 > 60426 (39.4)275 (39.3)35 (39.8)74 (94.9)42 (19.6)
Sex< 0.001
 Male647 (59.9)441 (63.4)46 (52.3)21 (26.9)136 (63.6)
 Female433 (40.1)256 (36.6)42 (47.7)57 (73.1)78 (36.4)
Primary site0.019
 Bones of skull and face and associated joints436 (40.4)285 (40.7)34 (38.6)17 (21.8)100 (46.7)
 Vertebral column279 (25.8)179 (25.6)25 (28.4)27 (34.6)48 (22.4)
 Pelvic bone, sacrum, coccyx, and associated joints365 (33.8)236 (33.7)29 (33.0)34 (43.6)66 (30.8)
Disease stage0.587
 Localized442 (40.9)288 (41.1)38 (43.2)30 (38.5)86 (40.2)
 Regional454 (42.0)290 (41.4)41 (46.6)32 (41.0)91 (42.5)
 Distant90 (8.3)55 (7.9)5 (5.7)7 (9.0)23 (10.7)
 Unstaged94 (8.7)67 (9.6)4 (4.5)9 (11.5)14 (6.5)
Tumor size0.084
 < 5 cm357 (33.1)229 (32.7)32 (36.4)18 (23.1)78 (36.4)
 5–10 cm256 (23.7)155 (22.1)21 (23.9)21 (26.9)59 (27.6)
 > 10 cm101 (9.4)64 (9.1)10 (11.4)5 (6.4)22 (10.3)
 Unknown366 (33.9)252 (36.0)25 (28.4)34 (43.6)55 (25.7)
Histological type0.953
 Conventional chordoma1019 (94.4)659 (94.1)83 (94.3)75 (96.2)202 (94.4)
 Chondroid chordoma54 (5.0)37 (5.3)4 (4.5)3 (3.8)10 (4.7)
 Dedifferentiated chordoma7 (0.6)4 (0.6)1 (1.1)0 (0.0)2 (0.9)
Surgery< 0.001
 Surgery not performed177 (16.4)99 (14.1)20 (22.7)29 (37.2)29 (13.6)
 STR452 (41.9)295 (42.1)38 (43.2)23 (29.5)96 (44.9)
 GTR301 (27.9)199 (28.4)23 (26.1)12 (15.4)67 (31.3)
 Unknown extent of resection150 (13.9)107 (15.3)7 (8.0)14 (17.9)22 (10.3)
Radiotherapy0.734
 Yes544 (50.4)354 (50.6)48 (54.5)40 (51.3)101 (47.7)
 No536 (49.6)346 (49.4)40 (45.5)38 (48.7)112 (52.3)
Chemotherapy0.639
 Yes40 (3.7)24 (3.4)3 (3.4)2 (2.6)11 (5.1)
 No1040 (96.3)676 (96.6)85 (96.6)76 (97.4)203 (94.9)

Note: p value < 0.05 are shown in bold

Abbreviations: STR subtotal resection, GTR gross total/radical resection

Percentages may not total 100 because of rounding

Schematic flow diagram of the inclusion and exclusion criteria for our study cohort Baseline demographic and clinical characteristics of chordoma patients in our study Note: p value < 0.05 are shown in bold Abbreviations: STR subtotal resection, GTR gross total/radical resection Percentages may not total 100 because of rounding

Survival of patients with chordoma

By analyzing the Kaplan-Meier curve with a log-rank test, we found that age at diagnosis (p < 0.001), marital status (p < 0.001), primary site (p < 0.001), disease stage (p < 0.001), tumor size (p < 0.001), histological type (p = 0.002), surgery (p < 0.001), and chemotherapy (p = 0.001) were associated with OS (Table 2). The 5-year OS and 10-year OS of married, divorced/separated, widowed, and single patients were 73.7% and 51.5%, 69.5% and 42.8%, 45.2% and 12.5%, and 75.6% and 57.0%, respectively, and the median survival times of married, divorced/separated, widowed, and single patients were 125.0 months, 103.0 months, 56.0 months, and 157.0 months, respectively (Fig. 2). Widowed patients had the lowest 5-year OS, 10-year OS, and median overall survival time, while single patients had the highest 5-year OS, 10-year OS, and median overall survival time. After stratifying the primary site and disease stage, we still observed similar results (Table 3 and Fig. 3).
Table 2

Kaplan–Meier analysis overall survival for chordoma patients

Characteristic5-year overall survival, %10-year overall survival, %Median overall survival (months)Kaplan-Meier
Log rank χ2 testp value
Age at diagnosis164.433< 0.001
 < 4083.874.4
 40–6082.858.7138.0
 > 6054.325.268.0
Sex2.5850.108
 Male70.545.9105.0
 Female72.952.0132.0
Marital status66.240< 0.001
 Married73.751.5125.0
 Divorced/separated69.542.8103.0
 Widowed45.212.556.0
 Single75.657.0157.0
Primary site41.055< 0.001
 Bones of skull and face and associated joints79.265.1253.0
 Vertebral column66.737.990.0
 Pelvic bone, sacrum, coccyx, and associated joints66.440.191.0
Disease stage29.554< 0.001
 Localized77.655.3147.0
 Regional71.648.2105.0
 Distant49.732.753.0
 Unstaged65.239.089.0
Tumor size45.181< 0.001
 < 5 cm82.370.9243.0
 5–10 cm70.545.9106.0
 > 10 cm55.932.170.0
 Unknown67.041.094.0
Histological type12.2650.002
 Conventional chordoma71.547.6110.0
 Chondroid chordoma76.672.8-
 Dedifferentiated chordoma28.628.614.0
Surgery97.790< 0.001
 Surgery not performed48.326.056.0
 STR78.158.5154.0
 GTR82.959.3178.0
 Unknown extent of resection59.131.980.0
Radiotherapy0.1400.708
 Yes72.747.1106.0
 No70.049.7120.0
Chemotherapy11.4450.001
 Yes47.928.151.0
 No72.449.4119.0

Note: p value < 0.05 are shown in bold

Abbreviations: STR subtotal resection, GTR gross total/radical resection

Fig. 2

Kaplan-Meier survival curves according to marital status in patients with chordoma

Table 3

Kaplan–Meier analysis overall survival for chordoma patients based on primary site and disease stage

Characteristic5-year overall survival, %10-year overall survival, %Median overall survival (months)Kaplan-Meier
Log rank χ2 testp value
Primary site35.462< 0.001
Bones of skull and face and associated joints
 Married81.068.3253.0
 Divorced/separated65.844.9106.0
 Widowed45.318.142.0
 Single85.071.8
Vertebral column38.754< 0.001
 Married68.238.997.0
 Divorced/separated82.840.9102.0
 Widowed32.50.033.0
 Single74.158.3141.0
Pelvic bone, sacrum, coccyx, and associated joints7.2780.064
 Married69.644.9106.0
 Divorced/separated62.645.081.0
 Widowed54.719.663.0
 Single63.132.480.0
Disease stage
Localized33.341< 0.001
 Married78.157.8166.0
 Divorced/separated78.558.5146.0
 Widowed47.010.459.0
 Single87.265.8178.0
Regional31.648< 0.001
 Married74.450.3121.0
 Divorced/separated68.440.787.0
 Widowed40.013.346.0
 Single76.559.7
Distant17.771< 0.001
 Married59.439.980.0
 Divorced/separated0.00.012.0
 Widowed28.60.016.0
 Single42.330.232.0

Note: p value < 0.05 are shown in bold

Fig. 3

Overall survival curves of patients with chordoma according to marital status at different primary sites and disease stages. a Bones of the skull and face and associated joints. b Vertebral column. c Pelvic bone, sacrum, coccyx, and associated joints. d Localized stage. e Regional stage. f Distant stage

Kaplan–Meier analysis overall survival for chordoma patients Note: p value < 0.05 are shown in bold Abbreviations: STR subtotal resection, GTR gross total/radical resection Kaplan-Meier survival curves according to marital status in patients with chordoma Kaplan–Meier analysis overall survival for chordoma patients based on primary site and disease stage Note: p value < 0.05 are shown in bold Overall survival curves of patients with chordoma according to marital status at different primary sites and disease stages. a Bones of the skull and face and associated joints. b Vertebral column. c Pelvic bone, sacrum, coccyx, and associated joints. d Localized stage. e Regional stage. f Distant stage

Identification of prognostic factors of the OS of patients with chordoma

Univariate and multivariate Cox regression were used to analyze the prognostic factors associated with the OS of patients with chordoma (Table 4). Univariate Cox regression analysis showed that age at diagnosis, marital status, primary site, disease stage, tumor size, histological type, surgery, and chemotherapy were factors (all p < 0.05) related to OS in patients with chordoma (Fig. 4). Moreover, after all factors were included in the multivariate analysis, primary site, histological type, radiotherapy, and chemotherapy were not independent risk factors for patients with chordoma (Fig. 5). In addition, multivariate analysis showed that widowed patients had the worst OS (HR 1.71; 95% CI 1.25–2.33, p < 0.001) compared with married patients.
Table 4

Univariate and multivariate analysis of overall survival rates

CharacteristicUnivariate analysisMultivariate analysis
Hazard ratio (95% CI)p valueHazard ratio (95% CI)p value
Age at diagnosis< 0.001< 0.001
 < 40ReferenceReference
 40–601.92 (1.40–2.64)< 0.0011.97 (1.42–2.73)< 0.001
 > 604.83 (3.57–6.53)< 0.0014.28 (3.08–5.96)< 0.001
Sex
 MaleReferenceReference
 Female0.86 (0.71–1.04)0.1090.82 (0.67–1.00)0.048
Marital status< 0.0010.006
 MarriedReferenceReference
 Divorced/separated1.29 (0.92–1.80)0.1361.42 (1.01–1.99)0.046
 Widowed2.82 (2.13–3.73)< 0.0011.71 (1.25–2.33)< 0.001
 Single0.83 (0.64–1.09)0.1751.16 (0.88–1.53)0.303
Primary site< 0.0010.181
 Bones of skull and face and associated jointsReferenceReference
 Vertebral column1.93 (1.52–2.44)< 0.0011.19 (0.92–1.54)0.196
 Pelvic bone, sacrum, coccyx, and associated joints1.94 (1.54–2.44)< 0.0010.97 (0.73–1.28)0.809
Disease stage< 0.001< 0.001
 LocalizedReferenceReference
 Regional1.41 (1.13–1.75)0.0021.43 (1.15–1.79)0.002
 Distant2.22 (1.62–3.05)< 0.0012.31 (1.66–3.20)< 0.001
 Unstaged1.68 (1.24–2.29)0.0011.17 (0.85–1.62)0.327
Tumor size< 0.001< 0.001
 < 5 cmReferenceReference
 5–10 cm1.96 (1.47–2.61)< 0.0011.25 (0.91–1.71)0.173
 > 10 cm2.98 (2.08–4.27)< 0.0011.85 (1.22–2.80)0.004
 Unknown2.04 (1.57–2.65)< 0.0011.50 (1.13–1.98)0.005
Histological type0.0040.124
 Conventional chordomaReferenceReference
 Chondroid chordoma0.52 (0.29–0.92)0.0250.78 (0.43–1.42)0.419
 Dedifferentiated chordoma3.03 (1.25–7.32)0.0142.11 (0.83–5.35)0.115
Surgery< 0.001< 0.001
 Surgery not performedReferenceReference
 STR0.39 (0.30–0.52)< 0.0010.58 (0.44–0.76)< 0.001
 GTR0.35 (0.26–0.46)< 0.0010.41 (0.30–0.55)< 0.001
 Unknown extent of resection0.82 (0.63–1.07)0.1440.95 (0.71–1.26)0.723
Radiotherapy
 YesReferenceReference
 No0.97 (0.80–1.16)0.7091.07 (0.89–1.30)0.466
Chemotherapy
 YesReferenceReference
 No0.51 (0.34–0.76)0.0010.71 (0.47–1.09)0.120

Abbreviations: STR subtotal resection, GTR gross total/radical resection

Fig. 4

Forest plot of univariate Cox analyses of overall survival. The black squares on the transverse lines represent the hazard ratio (HR), and the transverse lines represent the 95% CI

Fig. 5

Forest plot of multivariate Cox analyses of overall survival. The black squares on the transverse lines represent the hazard ratio (HR), and the transverse lines represent the 95% CI

Univariate and multivariate analysis of overall survival rates Abbreviations: STR subtotal resection, GTR gross total/radical resection Forest plot of univariate Cox analyses of overall survival. The black squares on the transverse lines represent the hazard ratio (HR), and the transverse lines represent the 95% CI Forest plot of multivariate Cox analyses of overall survival. The black squares on the transverse lines represent the hazard ratio (HR), and the transverse lines represent the 95% CI In the stratification of primary site and disease stages (Table 5), univariate analysis showed that marital status was a risk factor for OS in the primary site of “bones of the skull and face and associated joints,” “vertebral column,” and “localized,” “regional,” and “distant” disease stages. In addition, multivariate analysis showed that marital status was an independent risk factor for the primary site of “bones of skull and face and associated joints” and “vertebral column.” Moreover, although marital status was not an independent risk factor for the prognosis of patients with chordoma at the disease stages of “localized,” “regional,” and “distant,” widowed patients were at higher risk of survival compared with married, divorced/separated, or single patients.
Table 5

Univariate and multivariate analysis of overall survival rates based on primary site and disease stage

CharacteristicUnivariate analysisMultivariate analysis
Hazard ratio (95% CI)p valueHazard ratio (95% CI)p value
Primary site
Bones of skull and face and associated joints< 0.0010.017
 MarriedReferenceReference
 Divorced/separated2.01 (1.14–3.56)0.0162.31 (1.26–4.22)0.007
 Widowed4.33 (2.35–8.00)< 0.0012.34 (1.18–4.65)0.015
 Single0.74 (0.45–1.21)0.2331.15 (0.67–1.95)0.618
Vertebral column< 0.0010.011
 MarriedReferenceReference
 Divorced/separated0.81 (0.44–1.51)0.5140.94 (0.48–1.86)0.863
 Widowed3.33 (2.11–5.26)< 0.0012.43 (1.44–4.12)0.001
 Single0.66 (0.39–1.10)0.1110.82 (0.48–1.43)0.488
Pelvic bone, sacrum, coccyx, and associated joints0.0640.277
 MarriedReferenceReference
 Divorced/separated1.26 (0.72–2.19)0.4231.24 (0.69–2.25)0.477
 Widowed1.74 (1.12–2.71)0.0140.96 (0.57–1.60)0.867
Single1.36 (0.90–2.05)0.1401.54 (0.99–2.38)0.056
Disease stage
Localized< 0.0010.483
 MarriedReferenceReference
 Divorced/separated1.15 (0.62–2.17)0.6551.17 (0.60–2.29)0.650
 Widowed3.54 (2.16–5.80)< 0.0011.54 (0.89–2.67)0.126
 Single0.79 (0.48–1.29)0.3401.20 (0.70–2.06)0.519
Regional< 0.0010.055
 MarriedReferenceReference
 Divorced/separated1.22 (0.77–1.93)0.4011.31 (0.81–2.11)0.266
 Widowed2.80 (1.82–4.32)< 0.0011.95 (1.23–3.10)0.005
 Single0.69 (0.45–1.04)0.0731.09 (0.71–1.67)0.702
Distant< 0.0010.159
 MarriedReferenceReference
 Divorced/separated6.83 (2.25–20.73)0.0014.43 (1.19–16.53)0.027
 Widowed2.78 (1.14–6.80)0.0253.14 (0.71–13.99)0.133
 Single1.31 (0.69–2.48)0.4051.33 (0.58–3.04)0.497
Univariate and multivariate analysis of overall survival rates based on primary site and disease stage

Discussion

In this 42-year retrospective study, we conducted univariate and multivariate Cox regression analysis of a large number of adult patients with chordoma through the SEER database. We found that marital status was an independent risk factor for OS in adult patients with chordoma, and marital status had a protective effect on the survival outcome of adult patients with chordoma. Marital status is widely considered to be an independent prognostic factor for many malignancies [17-20]. However, the effect of marital status on adult patients with chordoma has not been fully investigated. In this study, we first explored the effect of marital status on the OS of adult patients with chordoma, and we found that married patients had better OS than divorced/separated and widowed patients. In multivariate analysis, after adjusting for diagnosis age, sex, marital status, primary site, disease stage, histological type, tumor size, surgery, radiotherapy, and chemotherapy, marital status was still a risk factor for patients with chordoma. The widowed group patients had the highest risk ratio (HR 1.71; 95% CI 1.25–2.33, p < 0.001), and the benefits of married patients remained. Compared with the married, divorced/separated, or single groups, widowed patients had the worst 5-year OS (45.2%), 10-year OS (12.5%), and median survival time (56.0 months). Similar results were observed in the subgroup analysis of primary site and disease stages. The effect of marital status on the survival of patients with chordoma has been studied before. Pan et al. [8] analyzed 808 patients with primary spinal chordoma from 1973 to 2014 and found that marital status was not the main factor affecting OS. Huang et al. [16] also showed that marital status was not a prognostic factor for patients with primary spinal chordoma. In our study, we included chordoma in the skull base, excluded all patients younger than 18 years old, and divided patients into four groups (married group, divorced/separated group, widowed group, and single group). It was found that marital status was an independent prognostic factor for adult patients with chordoma, which reduced the bias in case selection. In our study, we found that the proportion of patients over 60 years old in the widowed group was as high as 94.9%, which was significantly higher than that in the married, divorced/separated and single groups. Elderly patients are more likely to die due to their poor physical quality and greater complications [21], which may be an important reason for the low survival rate of the widowed group. In addition, we also found that women accounted for the highest proportion (73.1%) of the widowed group. The activity of natural killer cells (NKs) plays an important role in the defense against tumors and virus infection. Studies have shown that bereaved women showed a decrease in NK activity and an increase in plasma cortisol levels compared with the control group, which may also lead to an increase in mortality in widowed patients [22]. In addition, the widowed group had the highest (37.2%) rate of non-surgery, and inadequate treatment may also lead to deterioration of the prognosis of the widowed group [23]. Moreover, widowed patients have an increased risk of stress and mental illness due to the lack of a partner [24]. In contrast, married patients have better family conditions and can receive more social support from their spouses and families [25]. Good marital status can help reduce anxiety, stress, and negative emotions and provide more material help. Studies have shown that negative emotions can lead to longer infection times and longer wound healing [26]. There are limitations to be recognized in this study. First, this study was a retrospective study with inevitable selection bias. Second, the SEER database only records marital status at the time of diagnosis, but it does not report whether the subsequent marital status has changed. This change will also affect the survival of patients and confuse the differences in survival outcomes based on marital status. In addition, the specific details regarding radiotherapy and chemotherapy were not included, such as the specific regimen of chemotherapy or the dose, fractionation, and beam energy of radiotherapy, which may also be prognostic factors for patients with chordoma.

Conclusions

Our study found that marital status was an independent prognostic indicator for adult patients with chordoma and that marital status was conducive to patient survival. Widowed patients had worse OS than the other groups of patients, and similar results were observed in the subgroup analysis.
  26 in total

1.  Toward a cancer-specific model of psychological distress: population data from the 2003-2005 National Health Interview Surveys.

Authors:  Natalie C Kaiser; Narineh Hartoonian; Jason E Owen
Journal:  J Cancer Surviv       Date:  2010-03-08       Impact factor: 4.442

2.  Skull base chordomas: a management challenge.

Authors:  O al-Mefty; L A Borba
Journal:  J Neurosurg       Date:  1997-02       Impact factor: 5.115

3.  The effect of marital status on breast cancer-related outcomes in women under 65: A SEER database analysis.

Authors:  Leslie Hinyard; Lorinette Saphire Wirth; Jennifer M Clancy; Theresa Schwartz
Journal:  Breast       Date:  2016-12-22       Impact factor: 4.380

Review 4.  Factors Associated With Higher Caregiver Burden Among Family Caregivers of Elderly Cancer Patients: A Systematic Review.

Authors:  Lixia Ge; Siti Zubaidah Mordiffi
Journal:  Cancer Nurs       Date:  2017 Nov/Dec       Impact factor: 2.592

5.  Nomogram for Individualized Prediction and Prognostic Factors for Survival in Patients with Primary Spinal Chordoma: A Population-Based Longitudinal Cohort Study.

Authors:  Jin-Feng Huang; Dong Chen; Chang-Min Sang; Xuan-Qi Zheng; Jia-Liang Lin; Yan Lin; Wen-Fei Ni; Xiang-Yang Wang; Yan Michael Li; Ai-Min Wu
Journal:  World Neurosurg       Date:  2019-05-01       Impact factor: 2.104

6.  The effect of marital status on the survival of patients with bladder urothelial carcinoma: A SEER database analysis.

Authors:  Quan Niu; Youyi Lu; Yinxia Wu; Shigao Xu; Qun Shi; Tianbao Huang; Guangchen Zhou; Xiao Gu; Junjie Yu
Journal:  Medicine (Baltimore)       Date:  2018-07       Impact factor: 1.889

7.  Defective homologous recombination DNA repair as therapeutic target in advanced chordoma.

Authors:  Stefan Gröschel; Daniel Hübschmann; Francesco Raimondi; Peter Horak; Gregor Warsow; Martina Fröhlich; Barbara Klink; Laura Gieldon; Barbara Hutter; Kortine Kleinheinz; David Bonekamp; Oliver Marschal; Priya Chudasama; Jagoda Mika; Marie Groth; Sebastian Uhrig; Stephen Krämer; Christoph Heining; Christoph E Heilig; Daniela Richter; Eva Reisinger; Katrin Pfütze; Roland Eils; Stephan Wolf; Christof von Kalle; Christian Brandts; Claudia Scholl; Wilko Weichert; Stephan Richter; Sebastian Bauer; Roland Penzel; Evelin Schröck; Albrecht Stenzinger; Richard F Schlenk; Benedikt Brors; Robert B Russell; Hanno Glimm; Matthias Schlesner; Stefan Fröhling
Journal:  Nat Commun       Date:  2019-04-09       Impact factor: 14.919

8.  Marital Status and Survival in Patients with Penile Cancer.

Authors:  Weipu Mao; Ziwei Zhang; Xin Huang; Jie Fan; Jiang Geng
Journal:  J Cancer       Date:  2019-06-02       Impact factor: 4.207

9.  Incidence patterns of primary bone cancer in taiwan (2003-2010): a population-based study.

Authors:  Giun-Yi Hung; Jiun-Lin Horng; Hsiu-Ju Yen; Chueh-Chuan Yen; Wei-Ming Chen; Paul Chih-Hsueh Chen; Hung-Ta Hondar Wu; Hong-Jen Chiou
Journal:  Ann Surg Oncol       Date:  2014-04-11       Impact factor: 5.344

10.  Marital Status and Survival in Osteosarcoma Patients: An Analysis of the Surveillance, Epidemiology, and End Results (SEER) Database.

Authors:  Shui Qiu; Lin Tao; Yue Zhu
Journal:  Med Sci Monit       Date:  2019-11-01
View more
  1 in total

1.  Surgical Methods and Social Factors Are Associated With Long-Term Survival in Follicular Thyroid Carcinoma: Construction and Validation of a Prognostic Model Based on Machine Learning Algorithms.

Authors:  Yaqian Mao; Yanling Huang; Lizhen Xu; Jixing Liang; Wei Lin; Huibin Huang; Liantao Li; Junping Wen; Gang Chen
Journal:  Front Oncol       Date:  2022-06-21       Impact factor: 5.738

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.