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    Critical Reviews in Oncology/Hematology 76 (2010) 196207

    Cancer patients with cardiovascular disease have survival ratescomparable to cancer patients within the age-cohort of 10 years older

    without cardiovascular morbidity

    Maryska L.G. Janssen-Heijnen a,b,, Karolina Szerencsi a, Saskia A.M. van de Schans a,Huub A.A.M. Maas c, Jos W. Widdershoven d, Jan Willem W. Coebergh a,b

    a Department of Research, Eindhoven Cancer Registry, Eindhoven, The Netherlandsb Department of Public Health, Erasmus University Medical Centre, Rotterdam, The Netherlands

    c Department of Geriatric Medicine, Tweesteden Hospital, Tilburg, The N etherlandsd Department of Cardiology, Tweesteden Hospital, Tilburg, The Netherlands

    Accepted 26 November 2009

    Contents

    1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 197

    2. Patients and methods . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 197

    2.1. Patients . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 197

    2.2. Statistical analyses . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 198

    3. Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 199

    3.1. Patient characteristics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 199

    3.2. The influence of cardiovascular disease on treatment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 199

    3.3. The influence of cardiovascular disease on survival . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 200

    4. Discussion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 201

    4.1. Prevalence of cardiovascular diseases . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2014.2. Cardiovascular diseases and stage of cancer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 202

    4.3. Cardiovascular disease and treatment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 202

    4.4. Cardiovascular disease and survival . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 205

    4.5. Strengths and limitations of the study . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 205

    5. Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 206

    Conflict of interest . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 206

    Acknowledgements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 206

    References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 206

    Biography . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 207

    Abstract

    Due to aging of the population the prevalence of both cardiovascular diseases (CVDs) and cancer is increasing. Elderly patients are oftenunder-represented in clinical trials, resulting in limited guidance about treatment and outcome. This study gives insight into the prevalence of

    CVD among unselected patients with colon, rectum, lung, breast and prostate cancer and its effects on cancer treatment and outcome. Over

    one fourth (N= 11,200) of all included cancer patients aged 50 or older (N= 41,126) also suffered from CVD, especially those with lung (34%)

    or colon cancer (30%). These patients were often treated less aggressively, especially in case COPD or diabetes was also present. CVD had

    an independent prognostic effect among patients with colon, rectum and prostate cancer. This prognostic effect could not be fully explained

    by differences in treatment.

    Corresponding author at: Department of Research, Eindhoven Cancer Registry, P.O. Box 231, 5600 AE Eindhoven, The Netherlands.

    Tel.: +31 40 2971616; fax: +31 40 2971610.

    E-mail address:[email protected](M.L.G. Janssen-Heijnen).

    1040-8428/$ see front matter 2009 Elsevier Ireland Ltd. All rights reserved.

    doi:10.1016/j.critrevonc.2009.11.004

    http://localhost/var/www/apps/conversion/tmp/scratch_1/dx.doi.org/10.1016/j.critrevonc.2009.11.004mailto:[email protected]://localhost/var/www/apps/conversion/tmp/scratch_1/dx.doi.org/10.1016/j.critrevonc.2009.11.004http://localhost/var/www/apps/conversion/tmp/scratch_1/dx.doi.org/10.1016/j.critrevonc.2009.11.004mailto:[email protected]://localhost/var/www/apps/conversion/tmp/scratch_1/dx.doi.org/10.1016/j.critrevonc.2009.11.004
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    M.L.G. Janssen-Heijnen et al. / Critical Reviews in Oncology/Hematology 76 (2010) 19 6207 197

    Conclusions: Many cancer patients with severe CVD have a poorer prognosis. More research is needed for explaining the underlying factors

    for the decreased survival. Such research should lead to treatment guidelines for these patients.

    2009 Elsevier Ireland Ltd. All rights reserved.

    Keywords: Cancer; Cardiovascular diseases; Comorbidity; Prevelance; Prognosis; Treatment; Population-based

    1. Introduction

    Due to aging of the population, the mean age of can-

    cer patients and the presence of comorbidity is increasing.

    In cancer patients aged 65 or older about 60% had one or

    more concomitant disease(s); 23% had cardiac diseases[1].

    In 2000, in the Netherlands, cardiovascular disease (CVD)

    was the number one cause of death, accounting for 33%

    of the total mortality [2]. In the next 15 years the inci-

    dence of cancer among those aged 65 or older is expected

    to increase with 43% in men and 36% in women, so the pro-

    portion of elderly people with both cancer and CVD will

    increase [3]. Apart from affecting life expectancy, cardio-vascular disease can also complicate cancer treatment and

    (dose of) treatment might be adjusted more often. Previ-

    ous population-based studies have shown that patients with

    comorbidity among prostate [1,411], breast [1219], and

    colorectal cancer[2023]were treated less aggressively and

    had a worse survival. Previous studies among patients with

    non-smallcell lung cancer(NSCLC) haveshown that patients

    with CVDwere less likelyto undergo surgery andthat mortal-

    ity (especially due to CVD) was higher compared to patients

    without cardiovascular diseases[24,25].

    Elderly and especially those with comorbidity are under-

    represented in clinical trials due to exclusion criteria [26],

    resulting in limited guidance about treatment and outcome in

    these patients. This study gives insight into the prevalence of

    CVD among unselected cancer patients and investigates the

    relationship of CVD with stage of cancer at diagnosis, the

    effect on cancer treatment and survival.

    2. Patients and methods

    2.1. Patients

    The Eindhoven Cancer Registry collects data on all

    patients newly diagnosed with cancer in the southern part of

    the Netherlands. This area comprises 2.3 million inhabitants,

    10 general hospitals and 2 radiotherapy institutes. Complete-

    ness of the registry is over 95% [27]. Trained registration

    clerks actively collect data on patient characteristics, progno-

    sis, topography, histology, stage and information about initial

    treatment directly from hospital records. The hospital record

    is considered to be the most complete source of informa-

    tion on the patients past and current health status. Since

    1993 the Eindhoven Cancer Registry collects serious comor-

    bidity at the time of cancer diagnosis. A slightly modified

    version of the Charlson comorbidity index is used for record-

    ing comorbidity[1]. Cardiovascular disease includes valvulardisease, myocardial infarction, angina pectoris, congestive

    heart failure, cardiomyopathy, arrhythmias, deep vein throm-

    bosis, abdominal aorta aneurysm, claudicatio intermittens

    and cerebrovascular disease. Patients diagnosed with cancer

    of the colon, rectum, non-small cell lung cancer (NSCLC),

    small cell lung cancer (SCLC), breast and prostate (most

    common tumour types) between 1995 and 2006 and aged 50

    years or older were included. Since preoperative radiotherapy

    for rectal cancer was only recommended in treatment guide-

    lines since 2002, these patients were included from 2002 to

    2006. Patients were excluded if the diagnosis of cancer was

    obtained at autopsy and when it did not concern a primarytumour. Prevalence and general characteristics were based on

    all stages of the tumours. The effect of CVD on treatment and

    overall survival was analysed by stage.

    Fig.1. (a) Prevalence of cardiovascular disease in female patients,according

    to tumour type and age, (b) prevalence of cardiovascular disease in male

    patients, according to tumour type and age.

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    Table 1

    Patient characteristics according to type of cancer and the presence of cardiovascular disease.

    Tumour type and presence of CVD N(%) Median age (years) Male (%) Stagesa 1234 (%) COPD (%) DM (%) SES 1234 (%)

    Breast

    CVD 1494 (15) 74 3844126 11 24 38321812

    No. CVD 8707 (85) 63 434395 5 9 2739295

    ColonCVD 2175 (30) 75 61 17392618 15 21 3337228

    No. CVD 5019 (70) 69 46 15382621 9 10 2836306

    Rectum

    CVD 1037 (25) 73 71 30302218 16 19 3336247

    No. CVD 3079 (75) 67 56 28282420 9 9 2540314

    NSCLC

    CVD 3071 (34) 70 84 3466b 30 15 3539215

    No. CVD 5939 (66) 67 77 3268b 26 8 3141253

    SCLC

    CVD 687 (33) 70 77 4060c 29 17 4139155

    No. CVD 1383 (67) 65 65 4456c 22 8 3440224

    Prostate

    CVD 2736 (32) 72 6641119 14 12 2838286No. CVD 5799 (68) 69 7621318 11 8 2337364

    SES = socioeconomic status: 1 = low, 2 = middle, 3 = high, 4 = living in an institution. All variables have a significant different distribution between the CVD

    and no CVD group (Chi-squarep < 0.10), except for the relationship with stage among rectum carcinoma (p = 0.13).a Unknown stage excluded (ranging from 2% to 18% among the various cancer types).b Loclaizednon-localized.c Limitedextensive.

    The study population consisted of all cancer patients

    with CVD (also those with 2 or more comorbid condi-

    tions of which one consisted of CVD). Because of the high

    prevalence of diabetes mellitus (DM) and chronic obstruc-

    tive pulmonary disease (COPD) among cancer patients with

    CVD we also focussed on the application of cancer ther-apies and survival among patients with both CVD and

    DM/COPD. For all analyses the reference population con-

    sisted of cancer patients with other comorbid conditions than

    CVD, COPD or DM and cancer patients without comorbid

    conditions.

    Pathological tumour stage was classifiedin four categories

    based on the pathological/post-operative TNM classification.

    That for lung cancer was classified in twocategories: NSCLC

    as localized (stages I and II) or non-localized (stages III and

    IV); SCLC as limited or extensive disease. Clinical TNM

    was used when pathological TNM was not available. Cancer

    treatment was defined as surgery, surgery plus adjuvant ther-

    apy and combined chemoradiation therapy (the latter onlyfor SCLC). Surgery did not comprise diagnostic operations

    and biopsies. Postal codes of residential area were used to

    establish the socioeconomic status (SES) of diagnosed can-

    cer patients. At the six-position level of postal code, data on

    household income and economical value of the house are

    available from fiscal data. Patients were categorized as: low,

    medium and high socioeconomic status, and a separate cate-

    gory of patients who were institutionalized (i.e. an elderly or

    nursing home). Follow-up of all patients was completed until

    January 1st, 2008. In addition to passive follow-up from the

    hospital records, this information was actively obtained from

    the Municipal personal records database that registers vital

    status.

    2.2. Statistical analyses

    The age-specific prevalence of CVD for each tumour typewas calculated separately for men and women. Differences

    in treatment between patients with and without CVD were

    tested with the chi-square test. Logistic regression analy-

    sis was used to evaluate the independent influence of CVD

    on treatment of cancer. Age was included as a categori-

    cal variable because there was no linear relation between

    treatment and age. For each tumour type and stage, models

    were fitted with receiving therapy as dependent variable

    and CVD, CVD + COPD, CVD + DM, age, gender and SES

    as independent variables. The clinical TNM stage was used

    when surgery was the dependent variable, because surgery

    decisions are based on this tumour stage. An exception has

    been made for patients with colorectal cancer because the

    majority underwentsurgery andcTNM is generally not deter-

    mined. When interaction was found between CVD and other

    dependent variables, the results were stratified per variable

    outcome.

    Survival time was defined as the time from diagnosis to

    death or January 1st, 2008 forthe patients whowere still alive.

    The crude survival was calculated and the independent prog-

    nostic effect of CVD was estimated by using Cox regression

    models. The proportional hazard assumption of CVD was

    evaluated by applying KaplanMeier curves. Univariate dif-

    ferences in survival were evaluated with the log rank test. The

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    hazard rates for death (model A, unadjusted) were adjusted

    for age, gender, SES, tumour size, nodal status and differen-

    tiation grade (model B). In model C treatment was included

    to investigate whether the effect of CVD on prognosis could

    be explained by differences in treatment. Hazard ratios with

    95% confidence intervals were reported. The SAS computer

    package (version 8.2) was used for all statistical analyses(SAS Institute Inc., Cary, NC, USA, 1999).

    3. Results

    3.1. Patient characteristics

    Fig. 1a and b shows that the prevalence of CVD was

    higher among men and among patients with lung or colon

    cancer, and increased with age in both men (up to 49% among

    patients aged 75 or older with colon cancer) and women (up

    to 40% among patients with lung cancer). Table 1 gives base-

    line characteristics of cancer patients with CVD and cancerpatients without CVD. Patients with CVD were older and

    were significantly more often male. Patients with CVD had

    more extensive disease in case of SCLC and breast cancer.

    In contrast, earlier stages at diagnosis were found in case of

    NSCLC, colon and rectal cancer.

    The prevalence of COPD was significantly higher among

    patients with CVD and varied from 11% among patients with

    breast cancer to 30% among patients with lung cancer. DM

    also occurred significantly more often among patients with

    CVD and varied from 12% among patients with prostate can-certo 24%among patients with breastcancer. Cancerpatients

    with CVDhad a significantlylower SESthan patients without

    CVD.

    3.2. The influence of cardiovascular disease on

    treatment

    Fig. 2 shows the influence of CVD, CVD+ COPD and

    CVD+ DM in each age group. The proportion receiving

    adjuvant chemotherapy (CT) among patients diagnosed with

    colon cancerstageIII seemedto be loweramongpatientswith

    combined CVD and COPD. Among patients with pT2 or pT3rectal cancer the proportion receiving preoperative radiother-

    apy was clearly lower among patients with both CVD and

    diabetes (Fig. 2B).

    Fig. 2. Treatment of cancer according to age and comorbidity, (A) colon cancer stage III, (B) rectal cancer pT2pT3, (C) localized NSCLC, (D) SCLC limited

    disease, (E) breast cancer, T1T2, (F) prostate cancer stages III.

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    Fig. 2. (Continued).

    The proportion undergoing surgery of patients with local-

    ized NSCLC was lower among patients with combined CVD

    and COPD (Fig. 2C). Patients older than 65 with limited

    SCLC received less combined radiotherapy (RT) and CT if

    CVD was present (Fig. 2D), and these proportions were even

    lower when COPD of diabetes were also present.

    Amongbreast cancer patients undergoing lumpectomythe

    proportion receiving adjuvant radiotherapy was significantly

    lower for those with combined CVD + COPD or CVD + DM

    (Fig. 2E).

    Theproportion of patients with stage I or II prostate cancerundergoing surgery decreased when CVD was present (age

    groups 5064 and 6574,Fig. 2F).

    After adjustment forage, SESand genderalmost alleffects

    of CVDon treatmentdisappearedexcept forthe lowerpropor-

    tion undergoing surgery for prostate cancer (Table 2).When

    considering the effect of additional comorbid conditions,

    patients with CVD and diabetes had a lower chance of receiv-

    ing preoperative RT in case of rectal cancer, and surgery in

    case of prostate cancer. The combination of CVD and COPD

    led to less surgery in patients with NSCLC or prostate can-

    cer, and also to less chemoradiation in SCLC. Breast cancer

    patients undergoing lumpectomy with both CVD and COPD

    received adjuvant radiotherapy less often.

    3.3. The influence of cardiovascular disease on survival

    Fig. 3shows survival curves according to age and CVD.

    Colon, rectum, breast and prostate cancer patients with CVD

    aged 5064 had a prognosis that was comparable to the age-

    cohort without CVD that was 10 years older. The presence

    of additional COPD or diabetes led to a further increased

    risk of dying (Table 3).After adjustment for other prognos-

    tic variables (age, SES, gender, tumour size, nodal status,

    and differentiation grade) patients with CVD experienced

    a 1.22.1 times higher risk of dying compared to patients

    without CVD for most tumour types (Table 3).The effect of

    CVD did not reach statistical significance at the 0.05 level for

    patients with NSCLC, SCLC (except those aged 75 or older)

    and for patients with breast cancer. Further adjustment for

    treatment did not clearly change the odds ratios for dying.

    Among patients with prostate cancer, colon cancer (stages

    III) and limited SCLC the effect of CVD on survival was

    different for the age groups and was therefore presented sep-

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    Table 2

    Odds Ratios (OR) for receiving treatment for patients with CVD, CVD+ COPD and CVD + DM, according to tumour type and treatment.

    Tumour and stage Therapy Comorbiditya Unadjusted OR (95% CI) Adjusted ORb (95% CI)

    Colon cancer stages III Surgery CVD 0.8 (0.41.7) 1.2 (0.62.4)

    CVD+ COPD 2.0 (0.314.8) 2.7 (0.420.5)

    CVD + DM 1.0 (0.33.3) 1.3 (0.44.5)

    Colon cancer stage III Adjuvant chemotherapy CVD 0.7 (0.50.8) 0.9 (0.71.2)CVD + C OPD 0.5 (0.30.8) 0.8 (0.41.4)

    CVD + DM 0.4 (0.30.7) 0.8 (0.51.5)

    Rectal cancer stages III Surgery CVD 0.6 (0.41.1) 1.0 (0.51.7)

    CVD + C OPD 0.5 (0.21.2) 0.8 (0.32.0)

    CVD + D M 1.5 (0.46.3) 2.5 (0.610.8)

    Rectal cancer T2 + T3, M0, since 2002 Preoperative RT CVD 1.0 (0.71.4) 1.1 (0.71.6)

    CVD + C OPD 1.1 (0.52.6) 1.1 (0.52.6)

    CVD + DM 0.4 (0.20.7) 0.4 (0.20.7)

    NSCLC localized disease Surgery CVD 0.7 (0.60.9) 1.1 (0.81.4)

    CVD + C OPD 0.3 (0.20.4) 0.4 (0.30.6)

    CVD + DM 0.6 (0.40.9) 0.9 (0.51.4)

    SCLC limited disease CT + RT CVD 0.7 (0.51.1) 0.8 (0.51.3)

    CVD + C OPD 0.4 (0.20.6) 0.5 (0.20.9)CVD + DM 0.3 (0.10.8) 0.4 (0.21.0)

    Breast cancer stages IIII, T1T2, undergone lumpectomy Adjuvant radiotherapy CVD 0.4 (0.20.8) 0.5 (0.31.0)

    CVD + C OPD 0.1 (0.00.4) 0.1 (0.00.4)

    CVD + DM 0.3 (0.10.6) 0.4 (0.11.0)

    Prostate cancer stages III Surgery CVD 0.4 (0.30.5) 0.5 (0.40.6)

    CVD + C OPD 0.2 (0.10.4) 0.4 (0.20.7)

    CDV + DM 0.2 (0.10.4) 0.3 (0.20.6)

    a Reference group consisted of patients without CVD, COPD or DM.b Adjustment has been made for age, socioeconomic status, and gender.

    arately. Among patients with stage I or II colon cancer over

    65 years old, the risk of dying for those with CVD compared

    to those without CVD was over 1.5 times higher. Amongpatients with SCLC the risk of dying for those with CVD

    compared to those without CVD was only higher among

    those aged 75 or older (HR = 2.0). Finally, among patients

    with prostate cancer, the increased mortality risks for CVD

    were most marked among younger patients (Table 3). For

    many tumour types, the HR for dying was higher for patients

    with CVD in combination with either COPD or DM, and was

    especially high forstageI or II colon cancerpatientswith both

    CVD and COPD (HR up to 4.4) and for stage I or II prostate

    cancer (HR up to 6.1,Table 3).

    4. Discussion

    Over one fourth of all cancer patients aged 50 or older also

    suffered from cardiovascular diseases, especially those aged

    75 or older and those with lung or colon cancer. Although

    patients with NSCLC, colon or rectal cancer were diagnosed

    in an earlier stage when CVD was present, the opposite was

    seen among patients with SCLC or breast cancer. Patients

    with CVD were often treated less aggressively, especially

    elderly and in case COPD or diabetes was present in combi-

    nationwith CVD. CVDhad an independent effect on survival,

    which could hardly be explained by differences in treatment.

    In breast, colon, rectal and prostate cancer survival curves of

    patients with CVD aged 5064 were comparable to those of

    patients without CVD but within an age-cohort of 10 yearsolder. The effect on survival was less clear among patients

    with lung cancer.

    4.1. Prevalence of cardiovascular diseases

    Due to new treatment modalities CVD has become

    a chronic disease and patients have a considerable life

    expectancy. This means that these (elderly) patients are at

    risk for cancer and therefore the prevalence of patients with

    both cancer and CVD has increased. The prevalence of CVD

    among cancer patients was higher than that among gen-

    eral patients aged 55 or older admitted to Dutch hospitals

    [28].The high prevalence of CVD in patients with lung or

    colon cancer can be explained by similarity in risk factors

    [24,2931].Ross et al. have reviewed the concept of simi-

    larities in the pathways of CVD and cancer[32]. Oxidative

    stress has a central role in the initiation of atherosclerosis and

    cancer. The generationof oxidative stress has been associated

    with hyperlipidemia, hypertension and smoking. Hyperlipi-

    demia is associated with colon cancer and CVD, whereas

    smoking is associated with lung cancer and CVD. Further-

    more, male gender and increasing age are also risk factors

    for developing CVD[33],which is reflected by the results

    of the present study. As previous studies showed, the lowest

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    prevalence of CVD was found in breast and prostate cancer

    patients[34,35].

    4.2. Cardiovascular diseases and stage of cancer

    Patients with breast cancer and SCLC were more often

    diagnosed with advanced disease stage in the presence ofCVD, whereas NSCLC and colorectal cancer patients were

    more often diagnosedwith localizeddisease.Cancer might be

    detected earlier because patients with CVD are under surveil-

    lance which might lead to earlier diagnosis of cancer. Also,

    cancer patients diagnosed with a resectable tumour undergo

    preoperative examinations, especially when it concerns high

    risk surgery. This might lead to diagnosis of previously

    unknown CVD. Diagnostic bleeding as in hemoptoe or

    rectal blood loss may occur earlier in patients with CVD

    while they often use drugs that affect their hemostatic sys-

    tem. This could explain the higher prevalence of CVD in

    early stage NSCLC and colorectal cancer patients. In con-trast, cancer might also be detected later because complaints

    of cancer are assigned to CVD. We can only postulate why

    breast cancer is more frequently diagnosed with advanced

    stage in patients with CVD. A lesser adherence to breast

    cancer screening program in patients with CVD and their

    relatively lower socioeconomic status may play a role. Three

    population-based American studies have shown conflicting

    results with respect to theinfluenceof comorbidity on stage of

    cancer. Fleming et al.[36]showed that breast cancer patients

    with CVD had 13% lower odds of being diagnosed withadvanced breast cancer, while Yancik et al. [17]concluded

    that comorbidity did not have any influence on disease stage

    in breast cancer patients. Gonzalez et al. [37] showed that

    comorbidity (measured with Charlson comorbidity index) in

    breast, colorectal and prostate cancer patients was associated

    with a more advanced stage at the time of diagnosis.

    4.3. Cardiovascular disease and treatment

    No association was found between cancer treatment

    and CVD after adjusting for confounding factors, except

    for patients with prostate cancer and SCLC. In patientswith prostate cancer alternative treatment plans are widely

    available with results comparable to surgery. Therefore the

    threshold to avoid surgery is relatively low. Chemoradiation

    Fig. 3. Crude survival according to the presence of cardiovascular disease and age. (A) Colon cancer stages III. (B) Colon cancer stage III. (C) Rectal cancer

    stages III. (D) Localized NSCLC. (E) Limited SCLC. (F) Breast cancer stages IIII. (G) Prostate cancer stages III.

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    Fig. 3. (Continued).

    in case of limited SCLC gives a high rate of treatment-related

    complications and, while its benefits are clear but relatively

    small, any comorbidity and high age are commonly used as

    contraindications to chemoradiotherapy. CVD in combina-

    tion with other comorbidity (diabetes or COPD), however,

    also showed a significant association with adjusted treat-

    ment in patients with rectal cancer, SCLC, NSCLC and breast

    cancer.

    Complications after surgery can be expected in colorec-

    tal cancer patients with comorbidity, especially in those with

    deep vein thrombosis and COPD[38].In the present study

    this did not result in refraining from surgery in colorectal

    cancer patients with CVD. This can probably be explained

    by the fact that surgery is often inevitable for preventing

    life-threatening complications of colorectal cancer, also in

    patients with CVD.

    In this study also no relation was found between colon

    cancer patients with CVD and the receipt of adjuvant

    chemotherapy. Previous studies have shown that patients with

    comorbidity received chemotherapy significantly less often

    [2022].However, the specific effect of CVD was not inves-

    tigated in these studies.

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    Table 3

    Hazard ratios (HR) for overall mortality for CVD, CVD + COPD, CVD+ DM according to tumour type and stage.

    Tumour and stage Comorbiditya Model A HR (95% CI) Model B adjusted HR (95% CI) Model Cb adjusted HR (95% CI)

    Colon III CVD c

    5064d 1.1 (0.71.9) 1.1 (0.61.8)

    6574 1.9 (1.52.3) 1.8 (1.42.2)

    75+ 1.6 (1.41.9) 1.5 (1.31.8)

    CVD+ COPD c

    5064d 6.7 (3.313.7) 4.4 (2.09.7)

    6574 3.2 (2.24.6) 3.0 (2.14.3)

    75+ 2.0 (1.42.7) 1.8 (1.42.5)

    CVD+DM c

    5064d 3.3 (1.66.7) 2.9 (1.46.0)

    6574 2.0 (1.42.9) 1.9 (1.32.8)

    75+ 1.8 (1.42.3) 1.7 (1.42.2)

    Colon III CVD 1.5 (1.31.7) 1.3 (1.21.6) 1.3 (1.21.6)

    CVD + COPD 1.7 (1.22.3) 1.4 (1.01.9) 1.3 (1.01.8)

    CVD + DM 1.6 (1.22.1) 1.3 (1.01.8) 1.3 (1.01.7)

    Rectum III CVD 1.7 (1.42.0) 1.3 (1.11.6) c

    CVD+ COPD 2 .7 (2.03.7) 1.9 (1.42.7) c

    CVD + DM 2.1 (1.62.9) 1.5 (1.12.0) c

    Rectum T2T3, M0, since 2002 CVD 1.7 (1.22.3) 1.3 (0.91.9) 1.3 (0.91.9)

    CVD + COPD 3.8 (2.26.6) 2.5 (1.44.4) 2.5 (1.44.4)

    CVD + DM 2.2 (1.33.8) 1.6 (0.92.7) 1.5 (0.82.5)

    NSCLC local CVD 1.3 (1.11.4) 1.1 (1.01.2) 1.1 (1.01.2)

    CVD + COPD 1.5 (1.31.8) 1.3 (1.11.5) 1.1 (0.91.3)

    CVD + DM 1.6 (1.32.0) 1.4 (1.11.7) 1.3 (1.11.7)

    SCLC limited CVD

    5064d 1.1 (0.71.5) 1.0 (0.71.5) 1.1 (0.71.6)

    6574 0.9 (0.71.3) 0.9 (0.71.3) 0.8 (0.61.2)

    75+ 2.1 (1.23.6) 2.0 (1.23.5) 2.6 (1.44.8)

    CVD+ COPD

    5064d 1.4 (0.72.7) 1.2 (0.62.4) 1.2 (0.62.4)

    6574 1.3 (0.82.0) 1.3 (0.82.0) 1.0 (0.61.6)

    75+ 1.7 (0.93.1) 1.5 (0.82.8) 1.8 (1.03.3)CVD+DM

    5064d 1.2 (0.52.8) 1.1 (0.52.5) 1.0 (0.42.4)

    6574 2.9 (1.75.1) 2.8 (1.65.1) 2.4 (1.44.4)

    75 1.6 (0.73.7) 1.4 (0.53.4) 1.4 (0.53.8)

    Breast IIII, T1T2, undergone lumpectomy CVD 1.4 (0.92.1) 1.1 (0.71.7) 1.1 (0.71.6)

    CVD + COPD 3.7 (1.211.7) 2.8 (0.98.8) 2.7 (0.98.7)

    CVD + DM 2.4 (1.44.3) 1.7 (0.93.0) 1.5 (0.88.7)

    Prostate III CVD

    5064d 2.1 (1.43.1) 2.0 (1.43.0) 2.0 (1.42.9)

    6574 1.4 (1.21.7) 1.4 (1.11.6) 1.3 (1.11.6)

    75+ 1.2 (1.11.4) 1.2 (1.01.4) 1.2 (1.01.4)

    CVD+ COPD

    5064d 6.5 (3.212.8) 6.1 (3.112.2) 5.6 (2.811.2)

    6574 2.2 (1.73.1) 2.0 (1.52.8) 2.0 (1.52.7)75+ 2.4 (1.93.0) 2.4 (1.93.0) 2.4 (1.93.0)

    CVD+DM

    5064d 3.3 (1.29.0) 3.2 (1.28.8) 2.9 (1.18.0)

    6574 2.4 (1.73.1) 2.2 (1.63.1) 2.2 (1.63.0)

    75+ 1.4 (1.01.9) 1.3 (0.91.8) 1.3 (0.91.8)

    Inmodel A theunadjustedhazardratios forCVD,CVD+ COPD,CVD + DMare presented, inmodel B adjustment hasbeenmade forage,gender, socioeconomic

    status, differentiation grade, tumour size, nodal status. In model C additional adjustment has been made for treatment. When interaction was present with age

    the hazard ratios are shown according to age group.a Reference group consisted of patients without CVD, COPD or DM.b Adjustment hasbeen made forthe following treatmentaccording to tumour type: colon III: adjuvantCT (yes/no);NSCLClocal: surgery, RT andno therapy;

    SCLC limited: CT, CT + RT and no therapy; breast cancer patients undergoing lumpectomy: adjuvant RT (yes/no); prostate: surgery, RT, HT, no therapy.c No adjustment for treatment has been made, because majority (>95%) of the patients underwent surgery.d Interaction with age was present.

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    M.L.G. Janssen-Heijnen et al. / Critical Reviews in Oncology/Hematology 76 (2010) 19 6207 205

    Ourstudyshowed that rectalcancer patients with CVDand

    diabetes were less likely to receive preoperative radiother-

    apy. A previous study from the Eindhoven Cancer Registry

    already found that unselected patients with two or more

    comorbid conditions (especially the combination of diabetes

    and hypertension) received preoperative radiotherapy signif-

    icantly less often[21].In our study no influencewas found of CVD on the propor-

    tion of patients with localized NSCLC undergoing surgery.

    For considering cardiac risk in non-cardiac surgery not only

    the presence of pre-existing cardiovascular disease needs to

    be identified.Alsoseverityof the disease, stability, prior treat-

    ment, functional capacity, age, other comorbid conditions

    and type of surgery needs to be evaluated[39].This infor-

    mation (except for age, presence of comorbidity and type of

    surgery) is not registered by the cancer registry. Previous stud-

    ies, however, have found that NSCLC patients with COPD

    underwent surgery less often compared to patients without

    COPD [25,40]. Thelower proportion of patients with NSCLC

    and both CVD + COPD undergoing surgery in this study wastherefore not surprising.

    A significant relation was found in our study between

    CVD in combination with COPD or DM and the decreased

    receipt of combined chemoradiation among patients with

    SCLC. This is in conformity with the results of Janssen-

    Heijnen et al.[41].Ludbrook et al.[42]showed that SCLC

    patients with a Charlson comorbidity score of at least 2 had

    a lower chance of combined treatment compared to patients

    with a score between 0 and 1. Radiotherapy in addition to

    chemotherapy does not only improve survival (cancer mortal-

    ity is reduced with 14%, although no reduction was observed

    in patients above 70 years) and local tumour control, butcan also lead to a small increase in treatment-related death

    [4346].

    In elderly breast cancer patients undergoing lumpectomy

    a physician has to outweigh the benefits of adjuvant RT in the

    perspective of life expectancy, costs of radiation and adverse

    effects[47].Patients with both CVD+ COPD might not live

    long enough to benefit from RT and are therefore likely to be

    omitted from RT as it was also found in our study.

    Thedecisionto performsurgeryin prostate cancerpatients

    is, among otherconsiderations, related to life expectancy. The

    presence of CVD shortens life expectancy[48]and patients

    with CVD are expected to have a higher risk of dying from

    CVD than from prostate cancer. This is comparable to other

    studies, where older patients andthosewith comorbidity were

    omitted from surgery[46].

    4.4. Cardiovascular disease and survival

    The impact of comorbidity (in this case CVD) on over-

    all survival is most marked in types of cancer which have a

    good prognosis[34]. In the present study a worse survival

    was seen among patients with CVD for localized NSCLC,

    prostate and colorectal cancer patients. This is in line with

    the results of previous studies[11,15,19,23,49].In contrast,

    most patients with a more lethal tumour type die from cancer

    before they become at risk of dying from CVD. A previ-

    ous American study on causes of death among breast cancer

    patients has shown that the probability of death from breast

    cancer generally declined with age at diagnosis, especially

    for those with localized disease[50].In agreement with the

    American study, we found an effect of CVD on risk of mor-tality among breast cancer patients. After adjustment for age,

    gender, socioeconomic status, differentiation grade, tumour

    size and nodal status, this effect did not reach significancy at

    the 0.05 level.

    The observation that patients withCVD have survivalrates

    comparable to older age groups without CVD might be an

    argument to include these patients into another therapeutic

    plan if treatment guidelines have age-specific recommenda-

    tions (i.e. breast cancer). Of course, this statement needs to

    be evaluated in prospective studies.

    A negative influence of cardiovascular disease on sur-

    vival of cancer might be due to several mechanisms: the

    increased risk of death due to cardiovascular disease, morecontraindications for anti-cancer treatment and a higher rate

    of treatment-related complications such as cardiovascular

    events. Unfortunately, causes of death, treatment of the

    comorbid condition and complications are not routinely reg-

    istered in the cancer registry. Therefore, excess mortality due

    to cardiovascular disease and death due to complications of

    treatment could not be investigated. However, by adjusting

    our survival analyses for treatment, we could conclude that

    theincreased risk of dying forpatientswith CVD could hardly

    be explained by less aggressive treatment. This means that

    other factors play an important role.

    4.5. Strengths and limitations of the study

    Most previous studies have investigated the influence of

    comorbidity (measured as a comorbidity count or a comor-

    bidity score/index) instead of focussing on the specific effect

    of CVD or combinations of diseases as was done in this

    study. Another strength of this study was the reliable source

    of information: medical records, and a standardized method

    for extracting data from the medical records by trained reg-

    istrars[27].A third strength was the inclusion of unselected

    patients.

    A limitation of this study was that information about the

    severity of the comorbid condition was lacking. Therefore,

    we could not differentiate between less severe and more

    severe conditions. However, the cancer registry only regis-

    ters severe comorbid conditions with a possible effect on

    prognosis. Also we were only able to register treatment

    modalities; minor adjustments in treatment regimens were

    not registered (i.e. adjustments in cardiovascular treatment,

    chemotherapeutic regimens or surgical procedures). With

    regard to receiving adjuvant chemotherapy we did not have

    information on completion or early termination of the treat-

    ment, dose, time between administration and the kind of

    chemotherapy.

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    Furthermore, no information was available on social sup-

    port, preference of patient, transportation availability and

    time spent by the physician, whereas these factors also play a

    role in deciding whether or not to undergo a certain treatment

    [12].

    5. Conclusion

    This study has shown that the presence of CVD (espe-

    cially in combination with COPD or diabetes) in cancer

    patients influences treatment and treatment outcome. There-

    fore, cancer patients with severe CVD need to be discussed

    in multidisciplinary meetings in the presence of a cardi-

    ologist. The underlying factors for the decreased survival

    in these patients should be systematically addressed, such

    as motive for non-adherence to guidelines, complications

    of treatment, recurrence or progression and cause of

    death.

    Conflict of interest

    None

    Acknowledgements

    The authors thank the registration team of the Eindhoven

    CancerRegistry for their dedicateddata collection. This work

    was carried out with grants from the Dutch Cancer Society

    (KWF).

    References

    [1] Janssen-Heijnen ML, Houterman S, Lemmens VE, Louwman MW,

    Maas HA, Coebergh JW. Prognostic impact of increasing age and co-

    morbidity in cancer patients: a population-based approach. Crit Rev

    Oncol Hematol 2005;55:23140.

    [2] Signaleringscommissie Kanker. Kanker in Nederland: Trends, Prog-

    noses en Implicaties Voor Zorgvraag. Amsterdam: KWF Kankerbestri-

    jding; 2004.

    [3] Driver JA, Djousse L, Logroscino G, Gaziano JM,Kurth T. Incidenceof

    cardiovascular disease and cancer in advanced age: prospective cohort

    study. BMJ 2008;337:a2467.[4] Fowler Jr JE, Terrell FL, Renfroe DL. Co-morbidities and survival of

    men with localized prostate cancer treated with surgery or radiation

    therapy. J Urol 1996;156:17148.

    [5] Hall WH, Jani AB, Ryu JK, Narayan S, Vijayakumar S. The impact

    of age and comorbidity on survival outcomes and treatment patterns in

    prostate cancer. Prostate Cancer Prostatic Dis 2005;8:2230.

    [6] Marr PL, Elkin EP, Arredondo SA, Broering JM, DuChane J, Carroll

    PR. Comorbidity and primary treatment for localized prostate cancer:

    data from CaPSURE. J Urol 2006;175:132631.

    [7] Otto SJ, Schroder FH, de Koning HJ. Risk of cardiovascular mortality

    in prostate cancer patients in the Rotterdamrandomized screeningtrial.

    J Clin Oncol 2006;24:41849.

    [8] SatarianoWA, Ragland KE,Van DenEedenSK. Cause of death in men

    diagnosed with prostate carcinoma. Cancer 1998;83:11808.

    [9] Schwartz KL, Alibhai SM, Tomlinson G, Naglie G, Krahn MD. Con-

    tinued undertreatment of older men with localized prostate cancer.

    Urology 2003;62:8605.

    [10] Hall HI, Satariano WA, Thompson T, Ragland KE, Van Den Eeden

    SK, Selvin S. Initial treatment for prostate carcinoma in relation to

    comorbidity and symptoms. Cancer 2002;95:230815.

    [11] Houterman S, Janssen-Heijnen ML, Hendrikx AJ, van den Berg HA,

    Coebergh JW. Impact of comorbidity on treatment and prognosis of

    prostate cancer patients: a population-based study. Crit Rev Oncol

    Hematol 2006;58:607.

    [12] Bouchardy C, Rapiti E, Blagojevic S, Vlastos AT, Vlastos G. Older

    female cancer patients:importance,causes,and consequencesof under-

    treatment. J Clin Oncol 2007;25:185869.

    [13] Cronin-Fenton DP, Norgaard M, Jacobsen J, et al. Comorbidity and

    survival of Danish breast cancer patientsfrom 1995to 2005. Br J Cancer

    2005:2007.

    [14] Giordano SH, Hortobagyi GN, Kau SW, Theriault RL, Bondy ML.

    Breast cancer treatment guidelines in older women. J Clin Oncol

    2005;23:78391.

    [15] Houterman S, Janssen-Heijnen ML, Verheij CD, et al. Comor-

    bidity has negligible impact on treatment and complications but

    influences survival in breast cancer patients. Br J Cancer 2004;90:

    23327.

    [16] Hurria A, NaeimA, ElkinE, et al. Adjuvant treatmentrecommendations

    in older women with breast cancer: a survey of oncologists. Crit Rev

    Oncol Hematol 2007;61:25560.

    [17] Yancik R, Wesley MN, Ries LA, Havlik RJ, Edwards BK, Yates JW.

    Effect of age and comorbidity in postmenopausal breast cancer patients

    aged 55 years and older. JAMA 2001;285:88592.

    [18] Ballard-Barbash R, Potosky AL, Harlan LC, Nayfield SG, Kessler LG.

    Factors associated with surgical and radiation therapy for early stage

    breast cancer in older women. J Natl Cancer Inst 1996;88:71626.

    [19] Nagel G, Wedding U, Rohrig B, Katenkamp D. The impact of comor-

    bidity on the survival of postmenopausal women with breast cancer. J

    Cancer Res Clin Oncol 2004;130:66470.

    [20] Gross CP, McAvay GJ, Guo Z, Tinetti ME. The impact of chronic

    illnesses on the use and effectiveness of adjuvant chemotherapy for

    colon cancer. Cancer 2007;109:24109.[21] Lemmens VE, Janssen-Heijnen ML, Verheij CD, Houterman S,

    Repelaer van Driel OJ, Coebergh JW. Co-morbidity leads to altered

    treatment and worse survival of elderly patients with colorectal cancer.

    Br J Surg 2005;92:61523.

    [22] Lemmens VE, van Halteren AH, Janssen-Heijnen ML, Vreugdenhil G,

    Repelaer van Driel OJ, Coebergh JW. Adjuvant treatment for elderly

    patients with stage III colon cancer in the southern Netherlands is

    affected by socioeconomic status, gender, and comorbidity. Ann Oncol

    2005;16:76772.

    [23] Rieker RJ, Hammer E, Eisele R, Schmid E, Hogel J. The impact

    of comorbidity on the overall survival and the cause of death in

    patients after colorectal cancer resection. Langenbecks Arch Surg

    2002;387:726.

    [24] Ambrogi V, Pompeo E, Elia S, Pistolese GR, Mineo TC. The impact

    of cardiovascular comorbidity on the outcome of surgery for stage Iand II non-small-cell lung cancer. Eur J Cardiothorac Surg 2003;23:

    8117.

    [25] Dy SM, Sharkey P, Herbert R, Haddad K, Wu AW. Comorbid illnesses

    and health care utilization among medicare beneficiaries with lung

    cancer. Crit Rev Oncol Hematol 2006;59:21825.

    [26] Townsley CA, Selby R, Siu LL. Systematic review of barriers to the

    recruitment of older patients with cancer onto clinical trials. J Clin

    Oncol 2005;23:311224.

    [27] Schouten LJ, Hoppener P, van den Brandt PA, Knottnerus JA, Jager JJ.

    Completeness of cancer registration in Limburg, The Netherlands. Int

    J Epidemiol 1993;22:36976.

    [28] Schram MT, Frijters D, van de Lisdonk EH, et al. Setting and registry

    characteristicsaffect the prevalence and nature of multimorbidity in the

    elderly. J Clin Epidemiol 2008:28.

  • 7/26/2019 Cancer Cohort sample paper

    12/12

    M.L.G. Janssen-Heijnen et al. / Critical Reviews in Oncology/Hematology 76 (2010) 19 6207 207

    [29] Ambrose JA, Barua RS. The pathophysiology of cigarette smoking and

    cardiovascular disease: an update. J Am Coll Cardiol 2004;43:17317.

    [30] Kushi L, Giovannucci E. Dietary fat and cancer. Am J Med

    2002;113(Suppl. 9B):63S70S.

    [31] Larsson SC, RutegardJ, Bergkvist L, WolkA. Physicalactivity,obesity,

    and risk of colon and rectal cancer in a cohort of Swedish men. Eur J

    Cancer 2006;42:25907.

    [32] Ross JS, Stagliano NE, Donovan MJ, Breitbart RE, Ginsburg GS.

    Atherosclerosis and cancer: common molecular pathways of disease

    development and progression. Ann N Y Acad Sci 2001;947:27192,

    discussion 92-3.

    [33] Fokkema MR, Muskiet FA, van Doormaal JJ. Lifestyle intervention

    for the prevention of cardiovascular disease. Ned Tijdschr Geneeskd

    2005;149:260712.

    [34] Read WL, Tierney RM, Page NC, et al. Differential prognostic impact

    of comorbidity. J Clin Oncol 2004;22:3099103.

    [35] VultoAJ, Lemmens VE,Louwman MW, et al.The influence of ageand

    comorbidity on receiving radiotherapy as part of primary treatment for

    cancer in South Netherlands, 1995to 2002. Cancer 2006;106:273442.

    [36] Fleming ST, Pursley HG, Newman B, Pavlov D, Chen K. Comorbidity

    as a predictor of stage of illness for patients with breast cancer. Med

    Care 2005;43:13240.

    [37] Gonzalez EC, Ferrante JM, Van Durme DJ, Pal N, Roetzheim RG.

    Comorbid illness and the early detection of cancer. South Med J

    2001;94:91320.

    [38] Lemmens VE, Janssen-Heijnen ML, HoutermanS, et al. Which comor-

    bidconditionspredictcomplications aftersurgery for colorectal cancer?

    World J Surg 2007;31:1929.

    [39] Mangano DT. Perioperative cardiac morbidity. Anesthesiology

    1990;72:15384.

    [40] van de Schans SA, Janssen-Heijnen ML, Biesma B, et al. COPD in

    cancer patients: higher prevalence in the elderly, a different treatment

    strategy in case of primary tumours above the diaphragm, and a worse

    overall survival in the elderly patient. Eur J Cancer 2007;43:2194202.

    [41] Janssen-HeijnenML, Lemmens VE,van denBorne BE, BiesmaB, Oei

    SB, Coebergh JW. Negligible influence of comorbidity on prognosis

    of patients with small cell lung cancer: a population-based study in the

    Netherlands. Crit Rev Oncol Hematol 2007;62:1728.[42] Ludbrook JJ, Truong PT, MacNeil MV, et al. Do age and comorbidity

    impact treatment allocation and outcomes in limited stage small-cell

    lung cancer? A community-based population analysis. Int J Radiat

    Oncol Biol Phys 2003;55:132130.

    [43] Pignon JP, Arriagada R, Ihde DC, et al. A meta-analysis of

    thoracic radiotherapy for small-cell lung cancer. N Engl J Med

    1992;327:161824.

    [44] Gridelli C, Langer C, Maione P, Rossi A, Schild SE. Lung cancer in

    the elderly. J Clin Oncol 2007;25:1898907.

    [45] Socinski MA, Bogart JA. Limited-stage small-cell lung cancer:

    the current status of combined-modality therapy. J Clin Oncol

    2007;25:413745.

    [46] Warde P, Payne D. Does thoracic irradiation improve survival and local

    control in limited-stage small-cell carcinoma of the lung? A meta-

    analysis. J Clin Oncol 1992;10:8905.

    [47] Smith BD,Gross CP, Smith GL, Galusha DH, BekelmanJE, Haffty BG.

    Effectiveness of radiation therapy for older women with early breast

    cancer. J Natl Cancer Inst 2006;98:68190.

    [48] Peeters A, Mamun AA, Willekens F, Bonneux L. A cardiovascular life

    history. A life course analysis of the original Framingham Heart Study

    cohort. Eur Heart J 2002;23:45866.

    [49] Froehner M, Koch R, Litz R, Oehlschlaeger S, Wirth MP. Which con-

    ditions contributing to the Charlson score predict survival after radical

    prostatectomy? J Urol 2004;171:6979.

    [50] Schairer C, Mink PJ, Carroll L, Devesa SS. Probabilities of death from

    breast cancer and other causes among female breast cancer patients. J

    Natl Cancer Inst 2004;96:131121.

    Biography

    Maryska Janssen-Heijnenis working as a senior epidemi-

    ologist at the Eindhoven Cancer Registry. She focuses on

    prognostic factors for cancer patients, with a special inter-

    est in elderly patients with comorbidity. Since 2000 she is

    coordinating large population-based projects in which the

    prevalence of comorbidity in cancer patients is studied, as

    well as the influence of increasing age and comorbidity ontreatment, complications of treatment and prognosis.


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