Literature DB >> 29379317

Effects of marital status on survival of hepatocellular carcinoma by race/ethnicity and gender.

Wenrui Wu1,2, Daiqiong Fang1,2, Ding Shi1,2, Xiaoyuan Bian1,2, Lanjuan Li1,2.   

Abstract

PURPOSE: It is well demonstrated that being married is associated with a better prognosis in multiple types of cancer. However, whether the protective effect of marital status varied across race/ethnicity and gender in patients with hepatocellular carcinoma remains unclear. Therefore, we aimed to evaluate the roles of race/ethnicity and gender in this relationship. PATIENTS AND METHODS: We identified eligible patients from Surveillance, Epidemiology and End Results (SEER) database during 2004-2012. Overall and cancer-specific survival differences across marital status were compared by Kaplan-Meier curves. We also estimated crude hazard ratios (CHRs) and adjusted hazard ratios (AHRs) with 95% confidence intervals (CIs) for marital status associated with survival by race/ethnicity and gender in Cox proportional hazard models.
RESULTS: A total of 12,168 eligible patients diagnosed with hepatocellular carcinoma were included. We observed that married status was an independent protective prognostic factor for overall and cancer-specific survival. In stratified analyses by race/ethnicity, the AHR of overall mortality (unmarried vs married) was highest for Hispanic (AHR =1.25, 95% CI, 1.13-1.39; P<0.001) and lowest for Asian or Pacific Islander (AHR =1.13; 95% CI, 1.00-1.28; P=0.042). Stratified by gender, the AHR was higher in males (AHR =1.27; 95% CI, 1.20-1.33; P<0.001).
Conclusion: We demonstrated that married patients obtained better survival advantages. Race/ethnicity and gender could influence the magnitude of associations between marital status and risk of mortality.

Entities:  

Keywords:  SEER; being married; gender; primary hepatocellular carcinoma; prognosis; race

Year:  2018        PMID: 29379317      PMCID: PMC5757210          DOI: 10.2147/CMAR.S142019

Source DB:  PubMed          Journal:  Cancer Manag Res        ISSN: 1179-1322            Impact factor:   3.989


Introduction

Hepatocellular carcinoma (HCC) is the fifth frequently diagnosed malignancy for males and the ninth for females worldwide.1,2 Although the incidence of liver cancer is less frequent than that of breast and colorectal cancers, it is the second cause of cancer-related death and estimated to account for ~745,000 deaths in 2012.1 During the past few decades, several advanced therapies including systemic chemotherapy and radiofrequency ablation have shown the modest improvement in overall survival.3–5 Despite those achievements, the prognosis of HCC still remained dismal with an overall 1-year survival rate of <50%.6 Considering high mortality and poor prognosis of HCC, it is still urgent to reduce the risk of mortality associated with HCC. Recently, results from considerable literature have demonstrated that married patients have favorable survival outcomes compared to the unmarried in various cancer types, such as breast, colorectal, pancreatic, gastric, and prostate cancers.7–14 This interesting phenomenon raised great public concerns. It is postulated that the survival benefits of marriage are associated with earlier cancer detection and receipt of definitive treatment.15–19 Moreover, better economic status and social support contribute to lower cancer mortality in married patients. Previously published articles also indicated that marital status was considered as a prognostic factor of better survival in liver cancer.19,20 Less well investigated, however, is the influence of race/ethnicity and gender in the association between being married and overall prognosis of HCC. Therefore, we performed a population-based study to fill the gap on racial and gender differences in marriage-associated survival benefits,

Patients and methods

Patient selection and data extraction

We obtained data from the Surveillance, Epidemiology, and End Results (SEER) database using the SEER*Stat 8.2.1 software. The SEER collected information from 18 population-based cancer registries from 1973 to 2012 and represented ~30% of the American population.11 We identified first primary hepatocellular carcinoma who were aged ≥18 years at diagnosis between 2004 and 2012. Histological types for HCC were limited to 8,170, 8,171, 8,172, 8,173, 8,174, and 8,175 according to the International Classification of Diseases for Oncology-3 (ICD-O-3). We excluded cases diagnosed by death certificates or autopsy, or with unknown information about follow-up time, marital status, stage, and grade. We classified marital status into four groups: married, divorced/separated, widowed, and single at the time of diagnosis. Due to the similar survival disadvantages of being unmarried (divorced, separated, widowed, and single), we clustered those together as the unmarried group in further analysis. We defined race/ethnicity as non-Hispanic white (NHW), Black, Hispanic, and Asian or Pacific Islander (API). Demographic and clinical information about gender, age, histology, grade, stage, and definite therapies was extracted from the SEER database. The data accessed from SEER are freely available and do not require approval from an institutional review board or ethics committee. No personal identifying information was used in the current study; therefore, we did not require any informed consent.

Statistical analysis

Chi-square test was conducted to compare clinical characteristics with different marital statuses among hepatocellular carcinoma. Kaplan–Meier curves and log-rank tests were adopted to compare survival difference in relation to marital status. Multivariable Cox proportional hazards regressions were conducted to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for overall and cancer-specific survival among different marital statuses. Furthermore, we conducted analyses to explore advantages of being married by race and gender. All analyses were two sided, and a P-value of <0.05 indicated statistically significant. All statistical analyses were performed using the IBM SPSS Statistics, Version 20.0, and figures were created using the GraphPad Prism software (GraphPad Software, Inc., La Jolla, CA, USA).

Results

The cohort totally included 12,168 eligible cases of HCC during 2004–2012. The detailed flowchart of selection is shown in Figure 1. As shown in Table 1, there were 9,355 (76.9%) males and 2,813 (23.1%) females. Among included individuals, 7,076 (58.2%) patients were married, 1,645 (13.5%) patients were divorced/separated, 1,157 (9.5%) patients were widowed, and 2,290 (18.8%) patients were single at the diagnosis (Table 1). The married rate was low in female and Black patients, and the rate decreased with the year from 2004 to 2012. Compared to unmarried groups, married patients received more surgery and radiation. In males, the percentages of unmarried patients were 39.3% for NHWs, 58.3% for Blacks, 37.7% for Hispanics, and 20.1% for APIs (Table 2). In females, the proportions were 52.6%, 74.6%, 58.1%, and 40.4%, respectively (Table 3).
Figure 1

Flowchart for included patients from the Surveillance, Epidemiology, and End Results database.

Table 1

Baseline clinicopathological characteristics of patients with hepatocellular carcinoma in SEER database

CharacteristicsTotalMarried (%)Divorced/separated (%)Widowed (%)Single (%)P-value
Overall12,1687,076 (58.2)1,645 (13.5)1,157 (9.5)2,290 (18.8)
Age (years)<0.001
 <605,2492,891 (55.1)806 (15.4)116 (2.2)1,436 (27.4)
 60–795,9143,653 (61.8)792 (13.4)689 (11.7)780 (13.2)
 ≥801,005532 (52.9)47 (4.7)352 (35.0)74 (7.4)
Gender<0.001
 Male9,3555,790 (61.9)1,262 (13.5)491 (5.2)1,812 (19.4)
 Female2,8131,286 (45.7)383 (13.6)666 (23.7)478 (17.0)
Year<0.001
 2004–20063,5402,143 (60.5)474 (13.4)294 (8.3)629 (17.8)
 2007–20094,1712,402 (57.6)586 (14.0)437 (10.5)746 (17.9)
 2010–20124,4572,531 (56.8)585 (13.1)426 (9.6)915 (20.5)
Race<0.001
 Non-Hispanic white6,0673,507 (57.8)902 (14.9)636 (10.5)1,022 (16.8)
 Black1,680636 (37.9)291 (17.3)137 (8.2)616 (36.7)
 Hispanic2,1461,230 (57.3)307 (14.3)186 (8.7)423 (19.7)
 Asian/Pacific Islander2,2751,703 (74.9)145 (6.4)198 (8.7)229 (10.1)
Grade0.508
 High3,9362,254 (57.3)541 (13.7)364 (9.2)777 (19.7)
 Moderate5,2503,098 (59.0)694 (13.2)498 (9.5)960 (18.3)
 Poor2,7301,588 (58.2)377 (13.8)268 (9.8)497 (18.2)
 Undifferentiation252136 (54.0)33 (13.1)27 (10.7)56 (22.2)
Stage<0.001
 Localized6,9424,106 (59.1)946 (13.6)670 (9.7)1,220 (17.6)
 Regional3,4552,039 (59.0)463 (13.4)282 (8.2)671 (19.4)
 Distant1,771931 (52.6)236 (13.3)205 (11.6)399 (22.5)
Surgery<0.001
 Surgery5,2713,390 (64.3)654 (12.4)352 (6.7)875 (16.6)
 No surgery6,8383,661 (53.5)978 (14.3)795 (11.6)1,404 (20.5)
 Unknown5925 (42.4)13 (22.0)10 (16.9)11 (18.6)
Radiation0.046
 Radiation616392 (63.6)75 (12.2)50 (8.1)99 (16.1)
 No radiation11,4876,650 (57.9)1,560 (13.6)1,096 (9.5)2,181 (19.0)
 Unknown6534 (52.3)10 (15.4)11 (16.9)10 (15.4)

Abbreviation: SEER, Surveillance, Epidemiology and End Results.

Table 2

Baseline demographic characteristics of male patients stratified by race (%)

CharacteristicsAll race, N=9,355
NHW, N=4,739
Black, N=1,282
Hispanic, N= 1,623
API, N=1,711
Married, N=5,790Unmarried, N=3,565Married, N=2,877Unmarried, N=1,862Married, N=535Unmarried, N=747Married, N=1,011Unmarried, N=612Married, N=1,367Unmarried, N=344
Age (years)
 <6042.053.638.249.651.060.847.054.942.857.3
 60–7950.740.853.143.446.436.845.840.250.836.6
 ≥807.35.68.67.02.62.47.24.96.46.1
Year
 2004–200630.126.829.226.126.728.031.526.532.428.5
 2007–200933.735.035.135.937.432.431.233.831.537.8
 2010–201236.138.235.738.035.939.637.439.736.133.7
Grade
 High32.233.033.832.929.931.637.937.925.728.5
 Moderate43.742.644.142.947.142.639.240.044.946.2
 Poor22.122.020.221.821.724.121.719.426.623.0
 Undifferentiation2.02.32.02.51.31.71.32.62.72.3
Stage
 Localized56.853.956.054.154.651.959.155.957.753.8
 Regional29.628.830.229.630.326.427.029.429.928.8
 Distant13.617.313.816.315.121.713.914.712.417.4
Surgery
 Surgery46.635.747.138.240.728.139.832.053.045.3
 No surgery53.063.752.561.258.971.159.467.547.054.1
 Unknown0.40.60.50.50.40.80.80.500.6
Radiation
 Radiation5.74.56.75.07.75.55.02.83.33.2
 No radiation93.894.892.693.991.694.494.997.296.496.5
 Unknown0.50.60.71.10.70.10.100.30.3

Abbreviations: API, Asian or Pacific Islander; NHW, non-Hispanic white.

Table 3

Baseline demographic characteristics of female patients stratified by race (%)

CharacteristicsAll race N=2,813
NHW N=1,328
Black N=398
Hispanic N=523
API N=564
Married, N=1,286Unmarried, N=1,527Married, N=630Unmarried, N=698Married, N=101Unmarried, N=297Married, N=219Unmarried, N=304Married, N=336Unmarried, N=228
Age (years)
 <6035.629.334.626.851.545.531.329.335.715.8
 60–7955.952.855.452.144.645.161.655.956.560.5
 ≥808.517.910.021.14.09.47.314.87.723.7
Year
 2004–200631.028.930.326.932.727.632.930.330.735.1
 2007–200934.834.134.438.035.632.332.029.637.230.7
 2010–201234.136.935.235.131.740.135.240.132.134.2
Grade
 High30.233.032.731.830.735.434.239.122.625.4
 Moderate44.241.443.042.845.540.747.535.243.846.1
 Poor2423.421.922.821.822.217.424.333.025.9
 Undifferentiation1.62.22.42.62.01.70.91.30.62.6
Stage
 Localized63.659.961.659.360.455.963.065.568.859.2
 Regional25.325.426.225.829.726.626.920.721.428.9
 Distant11.014.712.214.99.917.510.013.89.811.8
Surgery
 Surgery53.739.853.040.152.539.447.036.259.843.9
 No surgery46.159.447.058.245.560.653.063.540.256.1
 Unknown0.20.901.72.00.00.00.300
Radiation
 Radiation4.94.16.04.35.95.14.14.33.01.8
 No radiation94.895.493.594.693.194.695.995.797.098.2
 Unknown0.30.60.51.11.00.30000

Abbreviations: API, Asian or Pacific Islander; NHW, non-Hispanic white.

As shown in Figure 2, the significant difference of overall and cancer-specific mortality was observed between married groups and unmarried groups (divorced/separated, widowed, and single) (both log-rank test P<0.0001). In multivariate Cox regression models, unmarried status was associated with higher risk of overall mortality (the married as reference, divorced/separated, 1.20, 95% CI, 1.13–1.28; widowed, 1.17, 95%CI, 1.09–1.26; single, 1.25, 95% CI, 1.18–1.32) (Table 4), and similar results were found when cancer-specific survival was analyzed (Table 5). In addition to marital status, other variables such as age, gender, year, race, grade, stage, surgery, and radiation were identified as prognostic factors.
Figure 2

Kaplan–Meier survival curves according to marital status (married, divorced/separated, widowed, and single) in patients with hepatocellular carcinoma.

Notes: (A) Overall survival. (B) cancer-specific survival.

Table 4

Univariate and multivariate analyses of OS in patients with HCC

VariableUnivariate
Multivariate
OS HR (95%CI)P-valueOS HR (95%CI)P-value
Age (years)
 <60ReferenceReference
 60–791.22 (1.16–1.27)<0.0011.19 (1.14–1.25)<0.001
 ≥801.93 (1.79–2.08)<0.0011.57 (1.46–1.69)<0.001
Gender
 MaleReference0.005Reference<0.001
 Female0.93 (0.89–0.98)0.90 (0.86–0.95)
Year
 2004–2006ReferenceReference
 2007–20090.95 (0.90–1.00)0.0400.90 (0.85–0.94)<0.001
 2010–20120.88 (0.83–0.93)<0.0010.82 (0.78–0.87)<0.001
Race
 Non-Hispanic whiteReferenceReference
 Black1.23 (1.16–1.31)<0.0011.16 (1.09–1.23)<0.001
 Hispanic0.94 (0.78–1.13)0.4900.85 (0.71–1.02)0.080
 Asian/Pacific Islander0.79 (0.74–0.83)<0.0010.84 (0.80–0.89)<0.001
Grade
 HighReferenceReference
 Moderate1.04 (0.99–1.10)0.1501.22 (1.16–1.28)<0.001
 Poor1.76 (1.67–1.87)<0.0011.73 (1.63–1.83)<0.001
 Undifferentiation1.95 (1.70–2.23)<0.0011.96 (1.71–2.25)<0.001
Stage
 LocalizedReferenceReference
 Regional2.05 (1.95–2.15)<0.0011.58 (1.50–1.66)<0.001
 Distant4.19 (3.95–4.44)<0.0012.49 (2.35–2.65)<0.001
Marital status
 MarriedReferenceReference
 Divorced/separated1.25 (1.17–1.33)<0.0011.20 (1.13–1.28)<0.001
 Widowed1.51 (1.41–1.62)<0.0011.17 (1.09–1.26)<0.001
 Single1.30 (1.23–1.37)<0.0011.25 (1.18–1.32)<0.001
Surgery
 SurgeryReferenceReference
 No surgery4.32 (4.12–4.53)<0.0013.65 (3.47–3.84)<0.001
 Unknown4.17 (3.19–5.47)<0.0013.59 (2.74–4.72)<0.001
Radiation
 RadiationReferenceReference
 No radiation0.76 (0.69–0.83)<0.0011.31 (1.20–1.44)<0.001
 Unknown1.21 (0.92–1.60)0.1700.92 (0.69–1.21)0.540

Abbreviations: HCC, hepatocellular carcinoma; HR, hazard ratio; OS, overall survival.

Table 5

Univariate and multivariate analyses of cancer-specific survival in patients with HCC

VariableUnivariate
Multivariate
CSS HR (95% CI)P-valueCSS HR (95% CI)P-value
Age (years)
 <60ReferenceReference
 60–791.24 (1.18–1.30)<0.0011.20 (1.14–1.26)<0.001
 ≥801.86 (1.72–2.02)<0.0011.50 (1.38–1.63)<0.001
Gender
 MaleReferenceReference
 Female0.94 (0.89–0.99)0.0280.92 (0.87–0.98)0.005
Year
 2004–2006ReferenceReference
 2007–20090.94 (0.89–0.99)0.0350.89 (0.84–0.94)<0.001
 2010–20120.88 (0.83–0.94)<0.0010.83 (0.79–0.89)<0.001
Race
 Non-Hispanic whiteReferenceReference
 Black1.19 (1.11–1.27)<0.0011.10 (1.03–1.18)0.006
 Hispanic1.02 (0.96–1.09)0.5130.99 (0.93–1.06)0.792
 Asian/Pacific Islander0.80 (0.75–0.85)<0.0010.85 (0.80–0.91)<0.001
Grade
 HighReferenceReference
 Moderate1.07 (1.02–1.13)0.0121.26 (1.20–1.34)<0.001
 Poor1.94 (1.83–2.06)<0.0011.86 (1.75–1.98)<0.001
 Undifferentiation2.04 (1.76–2.37)<0.0012.00 (1.72–2.32)<0.001
Stage
 LocalizedReferenceReference
 Regional2.26 (2.14–2.38)<0.0011.70 (1.61–1.79)<0.001
 Distant4.80 (4.52–5.11)<0.0012.75 (2.57–2.94)<0.001
Marital status
 MarriedReferenceReference
 Divorced/separated1.22 (1.14–1.31)<0.0011.18 (1.11–1.27)<0.001
 Widowed1.43 (1.33–1.55)<0.0011.09 (1.00–1.18)0.052
 Single1.28 (1.21–1.36)<0.0011.22 (1.15–1.30)<0.001
Surgery
 SurgeryReferenceReference
 No surgery4.86 (4.60–5.13)<0.0014.05 (3.83–4.29)<0.001
 Unknown4.35 (3.21–5.91)<0.0013.82 (2.81–5.20)<0.001
Radiation
 RadiationReferenceReference
 No radiation0.71 (0.64–0.78)<0.0011.29 (1.17–1.42)<0.001
 Unknown1.07 (0.79–1.46)0.6500.81 (0.59–1.10)0.170

Abbreviations: CSS, cancer-specific survival; HCC, hepatocellular carcinoma; HR, hazard ratio.

Subsequently, we performed stratified analysis of overall mortality by race/ethnicity and gender. The influence of marital status on overall survival was consistent among race/ethnicity and gender, though the magnitude of the association varied (Table 6). For both race/ethnicity and gender, unmarried individuals were more likely to be inferior to married individuals in overall survival (Figure 3). For different race/ethnicity, the HR of being unmarried was the largest in Hispanic (adjusted HR [AHR], 1.25, 95% CI, 1.13, 1.39), followed by Black (AHR, 1.20, 95% CI, 1.07, 1.35) and NHW (AHR, 1.19, 95% CI, 1.12, 1.27), while HR in API was the smallest (AHR 1.13; 95% CI, 1.00–1.28). As for gender, the influence of being married on prognosis was greater in males (AHR, 1.27; 95% CI, 1.20–1.33), whereas less effect was observed in females (AHR 1.12; 95% CI, 1.02–1.23).
Table 6

Crude and adjusted HRs for overall survival associated with marital status (unmarried vs married) by gender and race

VariableCrude HRP-valueAdjusted HRP-value
Races
 All1.35 (1.29, 1.42)<0.0011.25 (1.19, 1.32)<0.001
 Non-Hispanic white1.28 (1.20, 1.36)<0.0011.19 (1.12, 1.27)<0.001
 Black1.36 (1.22, 1.53)<0.0011.20 (1.07, 1.35)0.002
 Hispanic1.24 (1.12, 1.36)<0.0011.25 (1.13, 1.39)<0.001
 Asian or Pacific Islander1.24 (1.10, 1.39)<0.0011.13 (1.00, 1.28)0.042
Gender
 All1.35 (1.29, 1.42)<0.0011.25 (1.19, 1.32)<0.001
 Male1.35 (1.29, 1.42)<0.0011.27 (1.20, 1.33)<0.001
 Female1.35 (1.23, 1.48)<0.0011.12 (1.02, 1.23)0.016

Abbreviation: HR, hazard ratio.

Figure 3

Kaplan–Meier survival curves of overall survival in patients with hepatocellular carcinoma stratified by race/ethnicity and gender.

Notes: Percentage of survival for (A) non-Hispanic white, (B) Black, (C) Hispanic, (D) Asian or Pacific Islander, (E) male, (F) female.

Discussion

Previous studies had demonstrated that married patients were more likely to possess better prognosis of primary liver cancer.19,20 However, to date, survival differences of marital status stratified by race/ethnicity and gender had not been adequately investigated. Therefore, we conducted this population-based study to explore whether race and gender differences could influence the impact of marital status on the prognosis. Our results confirmed previous results that married patients experienced a lower risk of overall and cancer-specific mortality than unmarried patients. Furthermore, we observed variations in the association of being married and prognosis across race/ethnicity and gender. For different races/ethnicities, the association between being married and survival was stronger in Hispanic patients and was weaker in Asian or Pacific Islander patients, which indicated that unmarried Hispanic patients were at the highest risk of mortality in relation to other groups. Compared to males, the impact of being married on overall survival attenuated in females. Although the association between marriage and survival benefits was consistent, it should be noted that the magnitude of this association varied across race/ethnicity and gender. Thus, gender and race/ethnicity might partly explain the influence of marital status on overall survival. Differences in the relationship between marital status and mortality by race and gender may be attributable to several reasons. First, married patients possessed more financial resources, such as greater income, better employment, and insurance, which ultimately influence the access to early diagnosis and timely medical care.15 Second, social supports also contributed to a better prognosis. It was well documented that depression and stress were associated with tumor progression and metastasis.21–24 Compared to unmarried counterparts, married patients displayed less distress and depression after diagnosis of cancer because their spouses shared the mental burden and provided them sufficient social support.25,26 Goodwin et al27 demonstrated that females with depression experienced a worse survival after a diagnosis of breast cancer. Conversely, breast cancer patients with emotional support enjoyed increased survival.28 It has been well documented that stress and depression would impair the immune function and lead to worse prognosis.22,29 Moreover, dysregulation of various hormones induced by psychological factors, such as cortisol and norepinephrine,22,30 weakens immune systems by suppressing counts and functions of natural killer cells.31,32 Inevitably, there were several potential limitations in our study. First, some important information, such as chemotherapy, subsequent therapy, and comorbidities such as HBV infection, was not available in the SEER database. Meanwhile, socioeconomic status of patients also influenced the cancer prognosis. We could not adjust these factors for survival. Second, since marital status was recorded at the diagnosis, we lack data regarding changes in marital status after diagnosis, which may affect the results. Third, as a retrospective research, it was inevitable and liable to introduce some confounders into studies. Given these limitations, the results should be interpreted with caution.

Conclusion

Notwithstanding these potential limitations, our study demonstrated that being married at the time of diagnosis had a lower risk of mortality across HCC, though this association varied across race/ethnicity and gender. In the consideration of decreased rates of married status, more social support and comprehensive interventions should be given to these populations.
  32 in total

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Journal:  J Surg Oncol       Date:  2010-05-01       Impact factor: 3.454

Review 2.  Impact of stress on cancer metastasis.

Authors:  Myrthala Moreno-Smith; Susan K Lutgendorf; Anil K Sood
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Authors:  James S Goodwin; Dong D Zhang; Glenn V Ostir
Journal:  J Am Geriatr Soc       Date:  2004-01       Impact factor: 5.562

Review 5.  Associations of social networks with cancer mortality: a meta-analysis.

Authors:  Martin Pinquart; Paul R Duberstein
Journal:  Crit Rev Oncol Hematol       Date:  2009-07-14       Impact factor: 6.312

6.  Psychological distress among male patients and male spouses: what do oncologists need to know?

Authors:  G Goldzweig; E Andritsch; A Hubert; B Brenner; N Walach; S Perry; L Baider
Journal:  Ann Oncol       Date:  2009-10-11       Impact factor: 32.976

7.  Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012.

Authors:  Jacques Ferlay; Isabelle Soerjomataram; Rajesh Dikshit; Sultan Eser; Colin Mathers; Marise Rebelo; Donald Maxwell Parkin; David Forman; Freddie Bray
Journal:  Int J Cancer       Date:  2014-10-09       Impact factor: 7.396

Review 8.  Psychosocial stress and inflammation in cancer.

Authors:  N D Powell; A J Tarr; J F Sheridan
Journal:  Brain Behav Immun       Date:  2012-07-09       Impact factor: 7.217

9.  Differences in breast cancer characteristics and outcomes between Caucasian and Chinese women in the US.

Authors:  Dan-Na Chen; Chuan-Gui Song; Qian-Wen Ouyang; Yi-Zhou Jiang; Fu-Gui Ye; Fang-Jing Ma; Rong-Cheng Luo; Zhi-Ming Shao
Journal:  Oncotarget       Date:  2015-05-20

10.  Marital status and survival in patients with primary liver cancer.

Authors:  Xing-Kang He; Zheng-Hua Lin; Yun Qian; Daheng Xia; Piaopiao Jin; Lei-Min Sun
Journal:  Oncotarget       Date:  2016-08-05
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1.  Nomograms for predicting survival outcomes in patients with primary tracheal tumors: a large population-based analysis.

Authors:  Junmiao Wen; Di Liu; Xinyan Xu; Donglai Chen; Yongbing Chen; Liang Sun; Jiayan Chen; Min Fan
Journal:  Cancer Manag Res       Date:  2018-12-11       Impact factor: 3.989

2.  miR-517a promotes Warburg effect in HCC by directly targeting FBP1.

Authors:  Delin Zhang; Zhu Li; Tao Li; Dan Luo; Xinfu Feng; Yan Liu; Jianzhao Huang
Journal:  Onco Targets Ther       Date:  2018-11-13       Impact factor: 4.147

3.  Impact of marital status on survival in patients with stage 1A NSCLC.

Authors:  Liu Huang; Shu Peng; Chenyu Sun; Lian Chen; Qian Chu; Sudip Thapa; Vanisha Chummun; Lu Zhang; Peng Zhang; Eric L Chen; Ce Cheng; Yuan Chen
Journal:  Aging (Albany NY)       Date:  2022-01-19       Impact factor: 5.682

  3 in total

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