Literature DB >> 28139708

Prognostic value of marital status on stage at diagnosis in hepatocellular carcinoma.

Wenjie Zhang1,2, Xiaochen Wang1, Ruyi Huang1, Kangpeng Jin1, Guangyan Zhangyuan1, Weiwei Yu1, Yin Yin1, Hai Wang1, Zekuan Xu2, Beicheng Sun1.   

Abstract

Marital status have been found as an independent prognostic factor for survival and spousal support could provide a survival advantage in various cancer types. However, the specific effect of marital status on survival in hepatocellular carcinoma (HCC) has not been explored in detail. In this study, we used the Surveillance, Epidemiology and End Results program to identify iagnosed with HCC between 1988 and 2007. Kaplan-Meier methods and multivariable Cox regression models were used to analyze long-term cancer-specific survival (CSS) outcomes and risk factors stratified by marital status. There were significant differences among these different marital status subgroups with regard to 5-year CSS rates (P < 0.001). Married HCC patients had a better 5 year CSS rate than those unmarried patients, and widowed patients were more likely to die of their cancer. A stratified analysis showed that widowed patients always had the lowest CSS rate across different cancer stage, age and gender subgroups. Even after adjusting for known confounders, unmarried patients were at greater risk of cancer-specific mortality. Social support aimed at this population could improve the likelihood of achieving cure.

Entities:  

Mesh:

Year:  2017        PMID: 28139708      PMCID: PMC5282486          DOI: 10.1038/srep41695

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


It has been shown that married individuals have longer overall and cancer-specific survival (CSS) than those people who are single, widowed or divorced12. People who are married receive better social support, which subsequently promote health and survival3. Spouses can not only provide basic emotional support, but also facilitate the patients to receive more critical health care services4. Aizer et al. used the Surveillance, Epidemiology and End Results (SEER) database to study nearly 1 million contemporary cancer patients in the United States and found that unmarried patients, compared with married patients, are at higher risk of presentation with metastatic cancer, under-treatment, and death resulting from their corresponding cancer5. Thus, marital status is considered as an independent prognostic factor of survival in many cancers5678. Prior investigations have also demonstrated that marital status plays a mixed or nonsignificant effect on disease-specific survival91011. However, the role of marital status in affecting survival of patients with hepatocellular carcinoma (HCC) has not yet been assessed. Liver cancer (LC) ranks the fifth most common malignancy and the third leading cause of cancer-related deaths globally12. HCC is the most common type of LC accounting for approximately 80 percent of all liver cancers13. We noticed that most studies only compare prognosis between married and unmarried individuals, and those separated, divorced and widowed patients were ignored without differentiating5. Given that 51 percent of Americans are married and HCC is one of the most common malignancies, targeted social support interventions could significantly prolong survival514. In this study, we searched the SEER population-based database of individuals diagnosed between 1988 and 2007 to evaluate discrepancies in survival trends among different marital status. Our primary objectives were to make generalizable conclusions regarding the survival discrepancies that might exist in these groups.

Materials and Methods

Patients

The SEER Cancer Statistics Review (http://seer.cancer.gov/data/citation.html), a report on the most recent cancer incidence, mortality, survival, prevalence, and lifetime risk statistics, is published annually by the Data Analysis and Interpretation Branch of the National Cancer Institute (Bethesda, MD). The current SEER database consists of 18 population-based cancer registries that represent approximately 26% of the population in the United States. SEER data contain no identifiers and are publicly available for studies of cancer-based epidemiology and survival analysis. Cases of invasive HCC diagnosed between January 1, 1988, and December 31, 2007, were extracted from the SEER database (SEER*Stat 8.2.1) according to the Site Recode Classifications. Only those patients who underwent surgery at an age of between 18 and 85 years at diagnosis were included. Patients were excluded if they had incomplete staging, distant metastasis (M1), no evaluation of histological type, or follow-up. Age, sex, race, histologic type, stage, tumor grade, tumor size, and cancer-specific survival (CSS) rates were assessed. Adjuvant chemotherapy was not evaluated because the SEER registry does not include this information. The primary end point of the study is 5-year CSS rate, which was calculated from the date of diagnosis to the date of cancer-specific death. Cancer-specific deaths were treated as events, and deaths from other causes were treated as censored observations. The median follow-up period of patients was calculated from the date of diagnosis to the date of cancer-specific death. Marital status is coded as married, divorced, widowed, separated, and never married. Individuals in the separated and divorced group were clustered together as the divorced/separated group in this study. This study was based on public data from the SEER database; we obtained permission to access research data files with the reference number 10504-Nov 2014. The data did not include the use of human subjects or personal identifying information. Thus, no informed consent was required for this part of the study.

Statistical Analyses

Categorical variables were presented as frequency (%), and continuous variables were presented as median (interquartile range) or mean ± SD. The association between marital status categories and clinicopathological parameters was assessed using the chi-square (χ2) test. Continuous variables were compared using the Student t test. Survival curves were generated using the Kaplan-Meier method; differences between the curves were analyzed by using the log-rank test. Multivariable Cox proportional hazards regression models were used to assess potential risk factors for survival outcomes. All statistical analyses were performed using the statistical software package SPSS for Windows, version 17 (SPSS, Inc). The results were considered statistically significant when a 2-tailed test provided a P value of less than 0.05.

Results

Patient Characteristics

We identified 8621 eligible patients with HCC in the SEER database during the 20-year study period (between 1988 and 2007). A total of 6341 (73.6%) were men, and 2280 (26.4%) were women. Of these, 5457 (63.5%) were married, 1399 (16.2%) had never married, 940 (10.9%) were divorced/separated, and 825 (9.6%) were widowed. Patients who were widowed were less likely to be younger than 45 (0.5%), have less <3 cm tumor (8.5%) (P < 0.001). The rate of surgery performed was comparable between the married and widowed groups (84.4% vs 83.9%). Married patients were also less likely to present with advanced tumor and stage than widowed patients (P < 0.001). Patient demographics and pathologic features are summarized in Table 1.
Table 1

Characteristics of Patients from SEER Database by marital status.

CharacteristicNo. (%) of patients
TotalMarriedNever marriedDivorced/ SeparatedWidowedP value
n = 8621n = 5457n = 1399n = 940n = 825
Media follow up (mo)3740363625 
(IQR)5–636–675–605–624–31 
Years of diagnosis     P < 0.001
 1988–1994557(6.5)404(7.4)51(3.6)39(4.1)63(7.6) 
 1995–20012212(25.6)1450(26.6)319(22.8)192(20.4)251(30.4) 
 2002–20075852(67.9)3603(66.0)1029(73.6)709(75.5)511(62.0) 
Sex     P < 0.001
 Male6341(73.6)4306(78.9)1058(75.6)688(73.2)289(35.0) 
 Female2280(26.4)1151(21.1)341(24.4)252(26.8)536(65.0) 
Age     P < 0.001
 <45659(7.6)322(5.9)291(20,8)42(4.5)4(0.5) 
 45–603520(40.8)2199(40.3)701(50.1)520(55.3)100(12.1) 
 61–753283(38.1)2276(41.7)323(23.1)323(34.4)361(43.8) 
 >751159(13.5)660(12.1)84(6.0)55(5.9)360(43.6) 
Race     P < 0.001
 Caucasian5425(63.7)3361(61.6)878(62.8)667(71.0)519(62.9) 
 African American914(11.4)384(7.0)312(22.3)137(14.6)81(9.8) 
 Others*2282(24.9)1712(31.4)209(14.9)136(14.4)225(27.3) 
Pathological grading     0.677
 High/Moderate6564(28.3)4147(76.0)1055(75.4)724(77.0)638(77.3) 
 Poor/UD2057(10.0)1310(24.0)344(24.6)216(23.0)187(22.7) 
Stage     0.015
 Localized5216(42.7)3310(60.7)800(57.2)584(62.2)522(63.2) 
 Regional2471(27.2)1584(29.0)424(30.3)257(27.3)206(25.0) 
 Distant934(15.9)563(10.3)175(12.5)99(10.5)97(11.8) 
Tumor size     P < 0.001
 <3 cm1747(12.8)1125(20.6)267(19.1)220(23.4)135(16.4) 
 3–5 cm2434(19.8)1513(27.7)383(27.4)319(33.9)219(26.5) 
 >5 cm4440(34.0)2819(51.7)749(53.5)401(42.7)471(57.1) 

*Including other (American Indian/AK Native, Asian/Pacific Islander) and unknowns.

Clinicopathological Differences Between the Groups

As illustrated in Table 1, there were significant differences observed between the 4 groups, including the calendar years of diagnosis (more frequent in 2002–2007, 67.9%; P < 0.001), sex (more frequent in men, 73.6%; P < 0.001), age (more frequent in 45–60 and 61–75 years, 78.9%; P < 0.001), race (more frequent in Caucasian, 63.7%; P < 0.001), pathologic grade (less poor/undifferentiated in grade, 10.0%; P < 0.001), stage (more localized, 42.7%; P < 0.001), and tumor size (more >5 cm, 34.0%; P < 0.001).

Impact of Marital Status on Survival Outcomes

The univariate log-rank test showed that the 3-year and 5-year CSS were 44.5% and 36.9% in the married group, 40.6% and 33.4% in the never married group, 40.2% and 33.5% in the divorced/separated group, 20.2% and 21.8% in the widowed group, respectively (P < 0.001) (Fig. 1). Moreover, an early year of diagnosis (1988–1994), men, age more than 75 years, African American race, poor/undifferentiated tumor grade, higher stage, and larger tumor size (P < 0.001) were regarded as significant risk factors by univariate analysis (Table 2). Multivariate analysis with Cox regression was performed, and the following 7 factors were found to be independent prognostic factors (Table 3), including year of diagnosis (1995–2001: HR, 0.974; 95% CI, 0.875–1.084; 2002–2007: HR, 0.803; 95% CI, 0.725–0.889), age (45–60 year: HR, 1.617; 95% CI, 1.441–1.814; 45–60 year: HR, 1.617; 95% CI, 1.441–1.814; 61–75 year: HR, 2.098; 95% CI, 1.869–2.355;>75 year: HR, 2.410; 95% CI, 2.115–2.747), race (African American: HR, 1.189; 95% CI, 1.092–1.295), pathological grading (poor/undifferentiated: HR, 1.396; 95% CI, 1.315–1.483), stage (regional: HR, 1.797; 95% CI, 1.694–1.907; distant: HR, 2.924; 95% CI, 2.692–3.177), tumor size (3–5 cm: HR, 1.736, 95% CI, 1.586–1.901; >5 cm: HR 2.529, 95% CI, 2.322–2.754), and marital status(never married: HR, 1.109, 95% CI, 1.025–1.200; divorced/separated: HR, 1.181, 95% CI, 1.082–1.288;. widowed: HR, 1.198, 95% CI, 1.093–1.312).
Figure 1

Survival curves in hepatocellular carcinoma patients according to marital status, χ2 = 77.744, P < 0.001.

Table 2

Univariate survival analyses of HCC patients according to various clinicopathological variables.

Variablen3-year CSS (%)5-year CSS (%)Log rank χ2 testP
Years of diagnosis   124.997P < 0.001
 1988–199455729.7%23.0%  
 1995–2001221235.4%27.8%  
 2002–2007585245.8%38.3%  
Sex   1.9910.158
 Male634141.8%34.3%  
 Female228042.9%35.7%  
Age   309.794P < 0.001
 <4565950.2%43.9%  
 45–60352049.1%42.5%  
 61–75328337.9%29.5%  
 >75115926.6%17.7%  
Race   38.560P < 0.001
 Caucasian542542.1%35.1%  
 African American91434.0%26.0%  
 Others*228245.3%36.9%  
Pathological grading   327.616P < 0.001
 High/Moderate656445.6%38.4%  
 Poor/undifferentiation205728.0%22.4%  
Stage   1440.866P < 0.001
 Localized521654.6%45.9%  
 Regional247127.2%20.7%  
 Distant93410.1%6.7%  
Tumor size (mm)   1019.417P < 0.001
 <3 cm174769.9%62.2%  
 3–5 cm243446.7%38.5%  
 >5 cm444028.3%21.3%  
Marital Status   77.744P < 0.001
 Married545744.5%36.9%  
 Never married139940.6%33.4%  
 Divorced/Separated94040.2%33.5%  
 Widowed82520.2%21.8%  

*Including other (American Indian/AK Native, Asian/Pacific Islander) and unknowns.

Table 3

Multivariate Cox model analyses of prognostic factors of HCC.

VariableHazard Ratio95% CIP
Years of diagnosis  P < 0.001
 1988–19941Reference 
 1995–20010.9740.875–1.084 
 2002–20070.8030.725–0.889 
Age  P < 0.001
 <451Reference 
 45–601.6171.441–1.814 
 61–752.0981.869–2.355 
 >752.4102.115–2.747 
Race  P < 0.001
 Caucasian1Reference 
 African American1.1891.092–1.295 
 Others*0.8660.813–0.921 
Pathological grading  P < 0.001
 High/Moderate1Reference 
 Poor/undifferentiation1.3961.315–1.483 
Stage  P < 0.001
 Localized1Reference 
 Regional1.7971.694–1.907 
 Distant2.9242.692–3.177 
Tumor size (mm)  P < 0.001
 <3 cm1Reference 
 3–5 cm1.7361.586–1.901 
 >5 cm2.5292.322–2.754 
Marital Status  P < 0.001
 Married1Reference 
 Never married1.1091.025–1.200 
 Divorced/Separated1.1811.082–1.288 
 Widowed1.1981.093–1.312 

*Including other (American Indian/AK Native, Asian/Pacific Islander) and unknowns.

Stratified Analysis of Marital Status Effect on CSS Rates

We then further analyzed the effect of marital status on CSS rates in each stage (Fig. 2). Both univariate and multivariate analysis showed that marital status was an independent prognostic factor in each tumor stage (P < 0.001). In addition to this, we also observed two interesting findings. First, the widowed group, compared with the other groups, always had the lowest CSS rate in the localized and regional stage. Widowed patients had 19.4% reduction in 5-year CSS compared with married patients in the localized stage (49.2% versus 29.8%, P < 0.001), 13.2% reduction in the regional stage (21.5% versus 8.3%, P < 0.001), 4.2% reduction in the distant stage (6.1% versus 1.9%, P = 0.166). Second, the divorced/separated group also had decreased 5-year CSS across several subgroups compared with patients in the never married group (Table 4). Furthermore, we made further stratified analysis of survival rates and hazard by gender and age (Figs 3 and 4). Unmarried patients always had the lowest CSS rate, which were consistent with aboved results (Table 5 and 6).
Figure 2

Subgroup analysis for evaluating the effect of marital status for hepatocellular carcinoma patients according different cancer stage.

(A) The localized stage group: χ2 = 88.888, P < 0.001; (B) The regional stage group: χ2 = 12.846, P = 0.005; (C) The distant stage group: χ2 = 18.761, P < 0.001.

Table 4

Univariate and multivariate analyses for evaluating marital status influencing CSS in HCC based on different cancer stage.

Variable5-year CSS (%)Univariate analysisMultivariate analysis
Log rank χ2 testPHR(95% CI)P
Localized     
Marital status 88.888P < 0.001 P < 0.001
 Married49.2%  Reference 
 Never married44.1%  1.259(1.128–1.404)P < 0.001
 Divorced/Separated42.4%  1.265(1.123–1.424)P < 0.001
 Widowed29.8%  1.264(1.121–1.425)P < 0.001
Regional     
Marital status 12.8460.005 0.045
 Married21.5%  Reference 
 Never married20.8%  1.089(0.953–1.243)0.251
 Divorced/Separated23.5%  1.096(0.937–1.281)0.010
 Widowed8.3%  1.265(1.057–1.514)P < 0.001
Distant     
Marital status 18.761P < 0.001 0.039
 Married6.1%  Reference 
 Never married13.7%  0.827(0.670–1.022)0.079
 Divorced/Separated3.1%  1.192(0.942–1.509)0.143
 Widowed1.9%  1.197(0.928–1.543)0.166
Figure 3

Subgroup analysis for evaluating the effect of marital status for hepatocellular carcinoma patients according different age.

(A) <45 year: χ2 = 2.097, P = 0.553; (B) 45–60 year: χ2 = 46.729, P < 0.001; (C) 61–75 year: χ2 = 14.877, P = 0.002; (D) >75 year: χ2 = 5.327, P = 0.149.

Figure 4

Subgroup analysis for evaluating the effect of marital status for hepatocellular carcinoma patients according different gender.

(A) Male: χ2 = 43.265, P < 0.001; (B). Female: χ2 = 53.101, P < 0.001.

Table 5

Univariate and multivariate analyses for evaluating marital status influencing CSS in HCC based on different age.

Variable5-year CSS (%)Univariate analysisMultivariate analysis
Log rank χ2 testPHR(95%CI)P
<45     
Marital status 2.0970.553 NI
 Married40.0%    
 Never married47.6%    
 Divorced/Separated44.4%    
 WidowedNI    
45–60     
Marital status 46.729P < 0.001 P < 0.001
 Married47.1%  Reference 
 Never married33.2%  1.377(1.231–1.541)P < 0.001
 Divorced/Separated35.8%  1.347(1.189–1.525)P < 0.001
 Widowed33.1%  1.852(1.430–2.397)P < 0.001
61–75     
Marital status 14.8770.002 0.001
 Married31.2%  Reference 
 Never married24.8%  1.057(0.916–1.219)0.449
 Divorced/Separated27.8%  1.112(0.964–1.282)0.146
 Widowed23.5%  1.320(1.154–1.510)P < 0.001
>75     
Marital status 5.3270.149 NI
 Married19.2%    
 Never married11.8%    
 Divorced/Separated23.8%    
 Widowed14.8%    
Table 6

Univariate and multivariate analyses for evaluating marital status influencing CSS in HCC based on different gender.

Variable5-year CSS (%)Univariate analysisMultivariate analysis
Log rank χ2 testPHR(95%CI)P
Male     
Marital status 43.265P < 0.001 P < 0.001
 Married36.3%  Reference 
 Never married31.6%  1.141(1.043–1.247)0.004
 Divorced/Separated31.0%  1.256(1.136–1.390)P < 0.001
 Widowed19.2%  1.318(1.145–1.517)P < 0.001
Female     
Marital status 53.101P < 0.001 0.074
 Married39.3%  Reference 
 Never married38.2%  1.048(0.887–1.238)0.580
 Divorced/Separated39.5%  1.040(0.872–1.240)0.666
 Widowed22.9%  1.199(1.048–1.373)0.008

NI: not included in multivariate survival analysis.

P values were adjusted for years of diagnosis, sex, age, race, pathological grading, stage and tumor size as covariates between the two groups.

Discussion

Despite the impact of marriage on cancer survival has been performed in some studies151617, no research has been focused on the heterogeneity of unmarried patients in HCC or performed on stage by stage comparisons of the impact of marital status on survival. Our study showed that unmarried patients, including the widowed ones, are at significantly greater risk of death resulting from their cancer when compared with married patients. This survival discrepancy existed in each stage, age and gender. In addition, after adjusting for sex, pathological grading, stage, etc., marital status remained to serve as an independent prognostic predictor. Meanwhile, we also obeserved that more cancer cases were diagnosed in later years (more frequent in 2002–2007) which could be atrributed to the inclusion of more cancer registries in the SEER database over the years. Being married has been shown to possess a survival disadvantage for patients with many types of cancers1819. Delayed diagnosis and under-treatment are the mainly reported reasons of poor survival in unmarried patients520. In our study, we found that the percentage of patients with HCC in the widowed group (63.2%) was the highest in the localized stage compare with married (60.7%), never married (57.2%), and divorced/separated group (62.2%). Apparently, delayed diagnosis could not explain the result because the widowed group had the highest percentage. Another reason can be explain the unfavorable prognosis of unmarried individuals was under-treatment. However, surgery, rather than adjunctive therapy, is recommended for those resectable HCC patients. Interestingly, we found that the widowed patients, compared with those in the married group, still had a disadvantage of 19.4% in the localized stage, 13.2% in the regional stage and 4.2% in the distant stage regarding the 5-year CSS. Unmarried patients were at an increased risk of cancer mortality in contrast to married patients with different gender and age subgroups after adjusted for confounding factors. When comparing with married patients, widowed patients always had the worse CSS in all subgroups. Besides, no significantly difference of surgical resection rates was observed between the married and widowed groups. Thus, the hypothesis of under-treatment could not be supported by these findings. Married patients have better adherence with prescribed treatments than unmarried patients. Delayed radiation treatments in head/neck cancer patients due to impaired adherence can result in increased rates of recurrence and poorer survival21. Similar results are also observed in other cancers2223. Support systems, ranging from financial to emotional, are always lacking in unmarried patients. Spouses can provide adequate financial support to cover the costs of cancer treatment. Contrarily, unmarried patients might be reluctant to receive the treatment they needed due to economic reasons. Other than financial support, patients also have an emotion pillar to lean on provided by spouses during some of the more difficult times of their lives. Schlegel et al, also demonstrated that single patients had higher rates of depression24. Psychologically, unmarried patients display more stress and depression when they are diagnosed with cancer, which can alter immune function and result in tumor progression2526. DiMatteo et al. reported that married patients displayed lower risk of depression27. Moreover, Goodwin et al. found that women with depression were at greater risk for undergoing non-definitive treatment and display worse survival after a diagnosis of breast cancer28. A perceived lack of social support was associated with higher cortisol levels in patients with cancer, and chronic stress might promote cortisol secretion2930. Lower natural-killer cell count and survival was also observed in those patients whom lack of social support31. Increased cortisol levels may downregulate the cortisol receptors, thus reduce anti-inflammatory response and promote inflammation32. In addition, a five year observational cohort study demonstrated that depression and anxiety were correlated with breast cancer recurrence33. Stress mediators produced in chronic stress could result in tumor metastasis through activation of specific signaling pathways and the tumor microenvironment25. Although this study is based on a large population and partly answer the questions about marital status and prognosis in HCC, potential limitations should also be considered. First, the SEER database only collects the marital status at diagnosis, which could serve as a time dependent variable and may be changed after diagnosis. The changed marital status could also affect survival. Second, the information on smoking and alcohol use may not be available in SEER, and some studies have reported that unmarried patients may be at greater risk of such habits34. Furthermore, the SEER database also lacks important information regarding therapy options, income/insurance status, education and quality of marriage, which could not be adjusted by our analyses. Importantly, due to the retrospective nature, psychological tests could not be used to validate our hypothesis that psychosocial factors may be the main reasons for poor survival in unmarried patients. Despite these limitations, our study indicates that unmarried patients are at greater risk of delayed diagnosis and cancer-specific mortality. Our study also reveals that unmarried patients groups form essentially a heterogeneous group, and widowed patients are always at the highest risk of mortality. Physicians caring for unmarried patients with HCC, especially in widowed ones, should realize the poorer outcomes in this population. It raises the possibility that investments in targeted social support services and interventions aimed at this population could significantly improve the likelihood of achieving cure.

Additional Information

How to cite this article: Zhang, W. et al. Prognostic value of marital status on stage at diagnosis in hepatocellular carcinoma. Sci. Rep. 7, 41695; doi: 10.1038/srep41695 (2017). Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
  34 in total

Review 1.  Physiology and neurobiology of stress and adaptation: central role of the brain.

Authors:  Bruce S McEwen
Journal:  Physiol Rev       Date:  2007-07       Impact factor: 37.312

2.  Effect of marital status on treatment and survival of extremity soft tissue sarcoma.

Authors:  V K Alamanda; Y Song; G E Holt
Journal:  Ann Oncol       Date:  2014-02-06       Impact factor: 32.976

3.  Social capital, economic conditions, marital status and daily smoking: a population-based study.

Authors:  Martin Lindström
Journal:  Public Health       Date:  2010-02-23       Impact factor: 2.427

Review 4.  Impact of stress on cancer metastasis.

Authors:  Myrthala Moreno-Smith; Susan K Lutgendorf; Anil K Sood
Journal:  Future Oncol       Date:  2010-12       Impact factor: 3.404

5.  Demography of immigrant youth: past, present, and future.

Authors:  Jeffrey S Passel
Journal:  Future Child       Date:  2011

6.  Diurnal cortisol rhythm as a predictor of breast cancer survival.

Authors:  S E Sephton; R M Sapolsky; H C Kraemer; D Spiegel
Journal:  J Natl Cancer Inst       Date:  2000-06-21       Impact factor: 13.506

7.  Effect of depression on diagnosis, treatment, and survival of older women with breast cancer.

Authors:  James S Goodwin; Dong D Zhang; Glenn V Ostir
Journal:  J Am Geriatr Soc       Date:  2004-01       Impact factor: 5.562

8.  The influence of marital status on stage at diagnosis and survival of older persons with melanoma.

Authors:  Carlos A Reyes Ortiz; Jean L Freeman; Yong-Fang Kuo; James S Goodwin
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2007-08       Impact factor: 6.053

9.  Perceived social support and tumor estrogen/progesterone receptor status as predictors of natural killer cell activity in breast cancer patients.

Authors:  S M Levy; R B Herberman; T Whiteside; K Sanzo; J Lee; J Kirkwood
Journal:  Psychosom Med       Date:  1990 Jan-Feb       Impact factor: 4.312

10.  The impact of age on outcomes in chronic obstructive pulmonary disease differs by relationship status.

Authors:  Kristen E Holm; Melissa R Plaufcan; Dee W Ford; Robert A Sandhaus; Matthew Strand; Charlie Strange; Frederick S Wamboldt
Journal:  J Behav Med       Date:  2013-05-04
View more
  18 in total

1.  Factors associated with anxiety and depression in cancer patients prior to initiating adjuvant therapy.

Authors:  P Jimenez-Fonseca; C Calderón; R Hernández; T Ramón Y Cajal; M Mut; A Ramchandani; O Donnay; A Carmona-Bayonas
Journal:  Clin Transl Oncol       Date:  2018-04-12       Impact factor: 3.405

2.  The effect of marital status by age on patients with colorectal cancer over the past decades: a SEER-based analysis.

Authors:  Yang Feng; Weixing Dai; Yaqi Li; Shaobo Mo; Qingguo Li; Sanjun Cai
Journal:  Int J Colorectal Dis       Date:  2018-03-15       Impact factor: 2.571

3.  Comparison of the efficacy of pre-surgery and post-surgery radiotherapy in the treatment of hepatocellular carcinoma: a population-based study.

Authors:  Lei Chen; Xiaopeng Guo; Shi Chen; Yanqiao Ren; Tao Sun; Fan Yang; Chuansheng Zheng
Journal:  Am J Transl Res       Date:  2021-01-15       Impact factor: 4.060

4.  Structure based innovative approach to analyze aptaprobe-GPC3 complexes in hepatocellular carcinoma.

Authors:  Woo-Ri Shin; Dae-Young Park; Ji Hun Kim; Jin-Pyo Lee; Nguyen Quang Thai; In-Hwan Oh; Simranjeet Singh Sekhon; Wooil Choi; Sung Yeon Kim; Byung-Kwan Cho; Sun Chang Kim; Jiho Min; Ji-Young Ahn; Yang-Hoon Kim
Journal:  J Nanobiotechnology       Date:  2022-04-27       Impact factor: 9.429

5.  Marital Adjustment in Patients with Cancer: Association with Psychological Distress, Quality of Life, and Sleep Problems.

Authors:  Carmen Maria Ruiz-Marin; Rocio Molina-Barea; Mahmoud Slim; Elena P Calandre
Journal:  Int J Environ Res Public Health       Date:  2021-07-02       Impact factor: 3.390

6.  Survival rates are higher in married patients with biliary tract cancer: a population-based study.

Authors:  Wei Song; Dong-Liu Miao; Lei Chen
Journal:  Oncotarget       Date:  2018-01-11

7.  Marital Status and Survival of Patients with Hormone Receptor-Positive Male Breast Cancer: A Surveillance, Epidemiology, and End Results (SEER) Population-Based Study.

Authors:  Lei Liu; Ya-Yun Chi; An-An Wang; Yonghui Luo
Journal:  Med Sci Monit       Date:  2018-05-24

8.  Effect of marital status on duodenal adenocarcinoma survival: A Surveillance Epidemiology and End Results population analysis.

Authors:  Na Wang; Qingting Bu; Qingqing Liu; Jin Yang; Hairong He; Jie Liu; Xuequn Ren; Jun Lyu
Journal:  Oncol Lett       Date:  2019-06-14       Impact factor: 2.967

9.  A practical nomogram and risk stratification system predicting the cancer-specific survival for patients with early hepatocellular carcinoma.

Authors:  Bing Yan; Bing-Bing Su; Dou-Sheng Bai; Jian-Jun Qian; Chi Zhang; Sheng-Jie Jin; Guo-Qing Jiang
Journal:  Cancer Med       Date:  2020-12-06       Impact factor: 4.452

10.  The Effect of Marital Status on Survival of Patients with Gastrointestinal Stromal Tumors: A SEER Database Analysis.

Authors:  Wei Song; Chuan Tian
Journal:  Gastroenterol Res Pract       Date:  2018-02-01       Impact factor: 2.260

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.