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. Author manuscript; available in PMC: 2015 Apr 1.
Published in final edited form as: Clin Breast Cancer. 2013 Oct 25;14(2):e21–e31. doi: 10.1016/j.clbc.2013.10.003

Effect of Age and Race Upon Quality of Life of Young Breast Cancer Survivors

PK Morrow 1, AC Broxson 1, MF Munsell 2, K Basen-Enquist 3, CK Rosenblum 3, LR Schover 3, LH Nguyen 4, L Hsu 1, L Castillo 1, KME Hahn 1, JK Litton 1, DM Mattair 1, GN Hortobagyi 1
PMCID: PMC4157133  NIHMSID: NIHMS593776  PMID: 24461458

Abstract

Background

Given their early age of diagnosis, young breast cancer (BC) survivors face issues that differ widely from their older counterparts.

Patients and Methods

We mailed a survey to 2209 patients who were ≤45 years at time of BC diagnosis. Each survey was comprised of: the Quality of Life in Adult Cancer Survivors instrument, Menopause Symptom Scale, and questions aimed at obtaining pertinent background information.

Results

1090 patients completed the survey. Mean age at time of diagnosis was 39.5 years; median years from diagnosis was 6.6 years. Distress related to vaginal dryness (p=0.0002) and pain from intercourse (p=0.0014) was significantly higher in patients who were <5 years from diagnosis, compared to those >10 years from diagnosis. In the area of financial problems, black women had greater distress than white women (p=0.0010). Compared to white women, Hispanic women had worse family distress scores (p=0.0028) and summary cancer specific scores (p=0.0076). Patients >10 years from diagnosis had poorer sexual interest (p=0.003) than women who were closer to diagnosis. Women ≥40 years at diagnosis had significantly lower sexual interest (p=0.0016) than women <40 years. Stage and neoadjuvant chemotherapy did not have a significant effect on QOL.

Conclusion

Even in comparison to stage and neoadjuvant chemotherapy, race, age at diagnosis, and time from diagnosis have significant long term effects on QOL following BC treatment.

Introduction

Approximately 1 in every 207 women who are <40 years will be affected with invasive breast cancer (BC) in the United States.1 Compared to an age-matched cohort without BC, young breast cancer survivors (YBCS) demonstrate significant declines in health-related quality of life due to changes in functional capacity, social functioning, and mental health.2 When compared to older BC survivors, YBCS experience a greater degree of treatment effects, disturbances in quality of life (QOL), and overall symptom distress.2,3 Given their early age of diagnosis, these women face issues that differ widely from their older counterparts. As BC treatment increases risk of premature menopause, these patients must deal with vasomotor symptoms, sexual dysfunction, and infertility at an early age.3-5 The progression to a temporary or permanent menopausal state is often an abrupt one, resulting in more severe symptoms than those associated with normal aging progression through menopause.2,3,6,7 As a result, sexual dysfunction and/or symptoms are particularly problematic in YBCS.2,9-12 Concerns about delaying pregnancy, infertility, and the impact of a BC diagnosis on the family are common concerns among YBCS.10,13,14

Beyond their medical symptoms, YBCS also encounter issues with child-rearing, employment, and changes in budding relationships or marriages.6 Stressors associated with these psychosocial concerns and long term treatment effects place YBCS at increased risk for psychological distress, which may last years beyond the cancer diagnosis.10,15

Several studies have examined the effect of BC diagnosis and treatment upon QOL in YBCS.2,3,12,16,17 However, given the rarity of the disease in this young population, the studies have generally been smaller in scale. Additionally, studies exploring the long term effects of treatment in YBCS have varied widely in eligibility criteria, time since diagnosis, and definition of young. Given the paucity of research with this young population, we performed a large study evaluating the long term effects of BC diagnosis and treatment on YBCS who were diagnosed ≤45 years of age and were >1 year from diagnosis.

Patients and Methods

Patient Eligibility

Eligible women were ≤45 years of age at the time of BC diagnosis, ≥18 yrs of age at the time of the study, had history of histologically or cytologically confirmed breast carcinoma, were ≥12 months post BC diagnosis, and may have received or were currently undergoing surgery, chemotherapy, radiation, or adjuvant endocrine therapy for BC. All eligible patients were seen at the U.T. M.D. Anderson Cancer Center (UTMDACC) for evaluation and/or management of BC.

Study End Points

The primary objective of the study was to describe the QOL of YBCS (aged ≤45 years at diagnosis) as measured by the QOL in Adult Cancer Survivors (QLACS) instrument. Secondary objectives of the study were: to measure differences in QOL between ethnic groups and to describe effects of BC diagnosis and treatment upon menopausal symptoms and fertility in YBCS.

Procedure

The UTMDACC Department of Breast Medical Oncology, in collaboration with the YBCS Program, maintains a database of YBCS, who were ≤45 years at time of BC diagnosis. At the time of the study, the Breast Cancer Management System (BCMS) contained 3075 women who were diagnosed prior to July 2007, were alive, and were ≤ 45 years old at the time of BC diagnosis. Following approval of the protocol by the UTMDACC Institutional Review Board, the BCMS was utilized to identify eligible YBCS. Women (n = 2,387) who met the inclusion criteria received an advance letter announcing the upcoming survey. One week later, the patients received a cover letter, a postage-paid postcard enabling the patient to decline the study, and the study survey, which was comprised of: the QLACS survey, Menopause Symptom Scale (MSS), and questions aimed at obtaining pertinent background information. It was requested that the study participant return the completed surveys to The Patient Reported Outcomes, Survey and Population Research (PROSPR) program in the UTMDACC Department of Behavioral Science via a postage-paid return envelope provided by the study team. No monetary incentives were given. However, a paper mache pink ribbon seeded with Forget-Me-Not seeds was included as a token of appreciation and sent to all patients.

Four weeks after the initial survey was mailed, the study survey and cover memo were mailed again to non responders. In collaboration with the Department of Health Disparities Research, the second mailing included a letter of support from a minority community leader, in order to increase awareness of support of these leaders and potentially maximize responses among minority YBCS. Only minority non responders received letters from minority community leaders, matched by race/ethnicity. To optimize correct identification of a potential participant's ethnicity, the list of medical record numbers was cross-referenced with the UTMACC Patient History Database (PHDB) residing in the UTMDACC Department of Epidemiology, which contains archived patient ethnicity information that is self-reported by the patient.

Participants were asked to write their names or initials on the surveys. Each YBCS was mailed a survey that was coded with a study identification number (ID). This study ID was matched to the patient medical record number. The identifiers were kept securely in a database designated for survey data entry. An analysis dataset was prepared with no patient identifiers.

Measures

QOL of Cancer Survivors

The QLACS survey is a 47 item, self-report questionnaire that was validated by Nancy Avis and colleagues.18_ENREF_2 It was designed specifically for use with persons who were >5 years post cancer diagnosis. Five cancer-specific domains were identified (appearance concerns, financial problems, distress over recurrence, family-related distress, and benefits of cancer) along with 7 generic QOL domains (negative feelings, positive feelings, cognitive problems, sexual problems, physical pain, fatigue, and social avoidance). Each has a separate subscale. The QLACS survey employs a 5-point Likert scale, with 0 corresponding to “never” and 5 corresponding to “always.” Internal reliability and consistency demonstrated that coefficient alpha exceeded 0.71 for each subscale. While the QLACS was validated in breast cancer survivors (BCS) who were >5 years from diagnosis, it has been used in other research with BCS who were closer to the time of diagnosis.19

Menopausal symptoms

The MSS was derived from the Breast Cancer Prevention Trial Symptom Checklist.20 For a collection of seven menopause symptoms, patients utilize a 5-point Likert scale of severity, ranging from 0 (not at all) to 4 (extremely), to describe how bothered they are by each problem during the past 4 weeks. A summary scale for all seven symptoms is derived by summing the individual severity scores and determining the mean severity score for each item; this mean score is termed the Symptom Scale Score. The Cronbach alpha scores 3, 4 for each subscale, respectively, were hot flash subscale = 0.76; vaginal subscale = 0.73; urinary subscale = 0.76; and the Symptom Scale Score of all symptoms = 0.50.

Reproductive concerns

The survey included questions involving children, fertility, and desire for children. Five questions about reproduction were derived from the Reproductive Concerns Scale (RCS_ENREF_5), which is a 14-item scale that examines distress among cancer survivors whose reproductive ability may be impaired by their disease and/or treatment.21 Based on a sample of 231 long-term female cancer survivors, internal consistency for the RCS was 0.91.

Demographics

Information regarding the patient's relationship status, education, and menstrual status was gathered from the study survey. BC treatment history was collected from the medical record.

Statistical Methods

The demographic and clinical characteristics for non-responders and responders were tabulated separately. Differences between responders and non-responders were tested with respect to age, age at diagnosis, time since diagnosis, recurrence status, estrogen receptor/progesterone receptor (ER/PR) status, stage, type of treatment, and time since treatment. Descriptive statistics summarized the QLACS score overall and by race/ethnic group. In addition, descriptive statistics summarized each domain score of the QLACS overall and by race/ethnic group. Mean score for each domain was estimated with a 95% confidence interval. Domains of the QLACS consisted of: generic domains (physical pain, negative feelings, positive feelings, cognitive problems, sexual problems, social avoidance, and fatigue) and cancer-specific domains (financial problems, distress about family, distress about recurrence, appearance concerns, and benefits of cancer). Descriptive statistics summarized the generic summary score by summing the 7 constituent domain scores (reversing the score for Positive Feelings). Descriptive statistics summarized the Cancer-Specific summary score by summing the constituent domain summary scores excluding the Benefit of Cancer domain. Analysis of variance (ANOVA) methods were used to model the MSS and QLACS domain scores as a function of years since diagnosis of BC, time since treatment, race/ethnicity, age at diagnosis, adjuvant therapy use, neoadjuvant chemotherapy use, and stage. Tukey's honestly significant difference was used to conduct pair-wise comparisons for those factors with >2 categories, which statistically significant when testing the global hypothesis. As multiple exploratory tests were conducted, Bonferroni correction was used to the usual significance level of 0.05 to test each hypothesis.

Results

Responder Characteristics

A total of 2209 YBCS were invited to participate in the study; 1090 patients responded to the survey. The remaining 1119 patients either declined (n = 23), did not respond to the survey (n = 896), were deceased (104) or were lost to follow-up (n = 96). Responder characteristics are listed in Table 1. The majority of the respondents were white (78%); black and Spanish/Hispanic patients each accounted for 9-10% of the study cohort. Mean age at time of diagnosis was 39.5 years, and mean age when responding to the survey was 47.6 years.

Table 1.

Demographic Information

Survey Responder
No (n=1119) Yes (n=1090)
N % N %
Race (
    Asian/Pacific Islander 50 4.5 37 3.4
    Black 175 15.6 94 8.6
    Native American 2 0.2 1 0.1
    Spanish, Hispanic 173 15.5 109 10.0
    White 708 63.3 846 77.6
    Other 11 1.0 3 0.3
Menopausal Status at DX )
    Peri 18 1.6 14 1.3
    Post 131 11.7 141 12.9
    Pre 881 78.7 893 81.9
    Pregnant 6 0.5 5 0.5
    Unknown 1 0.1 0 0.0
    Missing 85 7.6 37 3.4
Histology
    Invasive Ductal 877 78.4 877 80.5
    Invasive Lobular 36 3.2 58 5.3
    Invasive Micropapillary 4 0.4 3 0.3
    Invasive Mixed Ductal/Lobular 47 4.2 55 5.0
    Invasive Papillary 1 0.1 3 0.3
    Medullary 4 0.4 3 0.3
    Metaplastic/Sarcomatoid 5 0.4 4 0.4
    Invasive Mucinous 17 1.5 8 0.7
    Invasive Tubular 6 0.5 9 0.8
    Other 122 10.9 70 6.4
Trigger Event
    Abnormal Mammogram 211 18.9 246 22.6
    Abnormal Ultrasound 3 0.3 5 0.5
    Axillary Mass (palpated on clinical exam) 0 0.0 2 0.2
    Axillary Mass (self-palpated) 23 2.1 16 1.5
    Bloody Nipple Discharge (self palpated) 11 1.0 10 0.9
    Breast Pain or Discomfort 46 4.1 41 3.8
    Inverted Nipple 7 0.6 9 0.8
    Lump in Breast (palpated on clinical exam) 33 3.0 47 4.3
    Lump in Breast (self palpated) 611 54.6 587 53.9
    Lump in Breast (NOS) 0 0.0 2 0.2
    Non-Bloody Nipple Discharge 8 0.7 10 0.9
    Swelling 16 1.4 15 1.4
    Other 25 2.2 18 1.7
    Unknown/Missing 125 11.2 82 7.5
Clinical Stage
    I 266 23.8 305 28.0
    II 400 35.7 372 34.1
    III 162 14.4 144 13.2
    IV 82 7.3 60 5.5
    Unknown/Missing 209 18.7 209 19.2
ER/PR Status
    Neg/Neg 267 23.9 237 21.7
    Neg/Pos 33 2.9 34 3.1
    Neg/Missing 0 0.0 1 0.1
    Pos/Neg 120 10.7 108 9.9
    Pos/Pos 524 46.8 565 51.8
    Pos/Missing 9 0.8 19 1.7
    Unk/Unk 6 0.5 6 0.6
    Missing/Missing 160 14.3 120 11.0
Endocrine Therapy *
    No 505 45.1 441 40.5
    Yes 535 47.8 612 56.2
        Anastrozole 33 50
        Exemestane 4 2
        Goserelin 7 6
        Letrozole 6 6
        Leuprolide acetate 3 1
        Tamoxifen 480 539
        Other 2 8
    Missing 79 7.1 37 3.4
(Neoadjuvant/adjuvant Chemo
    No 452 40.4 442 40.6
    Yes 588 52.6 611 56.1
    Missing 79 7.0 37 3.4
Type of Surgery
    Axillary lymph node dissection (ALND) 3 0.3 0 0.0
    Excisional biopsy 11 1.0 27 2.5
    Breast-conserving surgery (BCS), NOS 164 14.7 184 16.9
    BCS with ALND 206 18.4 172 15.8
    BCS without ALND 4 0.4 3 0.3
    Re-excision +ALND (post BCS) 3 0.3 1 0.1
    Re-excision post BCS 9 0.8 9 0.8
    Re-excision post-mastectomy 3 0.3 3 0.3
    Mastectomy with ALND 77 6.9 61 5.6
    Mastectomy without ALND 65 5.8 83 7.6
    Mastectomy NOS 303 27.1 302 27.7
    Radical mastectomy with ALND 4 0.4 5 0.5
    Skin sparing mastectomy with ALND 80 7.1 86 7.9
    Skin sparing mastectomy without ALND 87 7.8 100 9.2
    Missing 100 8.9 54 5.0
Age at Diagnosis
    N 1119 1090
    Mean 38.6 39.5
    Std Dev 5.1 4.8
    Min 22.0 21.0
    Median 40.0 41.0
    Max 45.0 45.0
Age when Answered Survey
    N 1040 1053
    Mean 46.3 47.6
    Std Dev 6.6 6.8
    Min 26.4 23.8
    Median 46.5 47.7
    Max 74.5 80.4
Years Since Diagnosis
    N 1040 1053
    Mean 7.3 7.6
    Std Dev 4.7 5.1
    Min 1.3 1.3
    Median 6.3 6.6
    Max 40.7 44.0
*

Endocrine therapy refers to treatment at any time prior to the survey.

Prior to diagnosis, 78% of patients were married, 9% were single, 6% were involved in a committed relationship, 6.5% were divorced or separated, and 0.5% were widowed. At the time of the survey, these numbers had shifted as follows: 75%, married; 9.5%, single; 5%, in a committed relationship; 10%, divorced or separated, 0.5%, widowed.

For 54% of patients, the trigger event leading to the diagnosis of BC was the self-discovery of a lump in the breast; 23% patients cited an abnormal mammogram as the trigger event. The most common tumor histology noted was invasive ductal carcinoma (81%). Fifty-two percent of the tumors were ER/PR positive, 22% were ER/PR negative, 15% were ER or PR positive, and the remainder had incomplete data.

More than half (59%) of the patients had undergone mastectomy for their BC. Fifty-six percent of patients received adjuvant chemotherapy. In addition, a 55% of patients underwent endocrine therapy; among them, 49% of women received tamoxifen.

Comparison of Responder to Non-Responder Profile

Characteristics of the 1090 patients who responded to the study were compared to those of the 1119 patients who did not return the survey. Respondents were less racially diverse (p<.001), with fewer black (8.6% versus 15.6%) and Hispanic (10.0% versus 15.5%) patients. Respondents were also slightly older (mean, 39.5 years versus 38.6 years, p<.001) at time of diagnosis and at time of survey (mean 47.6 years versus 46.3 years, p<0.001). The respondent group contained more patients who had received endocrine therapy (56.2% versus 47%, p=0.003). The groups were similar in menopausal status, trigger event, stage, ER/PR status, and use of adjuvant chemotherapy, and years since diagnosis.

Reproductive Findings

Prior to BC diagnosis, 77% of all patients had regular menstrual cycles, and 8% of patients had irregular menstrual cycles. Of the remaining patients, 1% had no menses during the year prior to their BC diagnosis , .9% had undergone natural menopause, 5.4% had undergone a hysterectomy without oophorectomy, 1.9% had undergone hysterectomy and unilateral salpingo-oophorectomy, 3.9% had undergone a hysterectomy and bilateral salpingo-oophorectomy , .1% had chemically induced menopause (.1%), .1% responded as having “other” menstrual findings (.1%), and 1.1% did not respond.

Thirty-six percent of patients developed menopause due to BC treatment, 33% of patients indicated no desire to become pregnant after BC treatment, 1% had been trying to become pregnant but had not yet become pregnant, 4% had become pregnant since their diagnosis, 6% were worried that becoming pregnant could trigger a new episode of BC, 9% were told by their physician that they should not become pregnant after their diagnosis, and 11% of patients did not answer questions regarding pregnancy.

Prior to BC diagnosis, 13% of patients had undergone treatment for infertility. At the time of diagnosis, 34% of patients stated that someone had discussed the potential effect of BC treatment upon their fertility. Approximately 5% of women had undergone a procedure to preserve fertility prior to starting treatment, which included: freezing of unfertilized eggs (0.1%), in vitro fertilization (0.8%), taking medications during chemotherapy to protect the ovaries (1.0%), and unspecified procedures (2.8%). Since their diagnosis, 3.8% of patients had seen a doctor to be evaluated for infertility.

Table 2 demonstrates the menopausal status by age (< 40 years versus ≥40 years), and table 3 shows menopausal status by years from diagnosis (<5 years, 5-10 years, >10 years). Compared to older patients, women ≤40 years demonstrated a significantly higher degree of distress from hot flashes (p=0.0007). Also, levels of distress related to vaginal dryness (p<0.0001) and dyspareunia (p=0.0014) were significantly higher in patients who were <5 years from diagnosis, compared to those were >10 years from diagnosis.

Table 2.

Relationship of Menopausal Symptoms to Age at Diagnosis

Domain N Mean SD Min Median Max 95% CI p-value*
Age < 40 Years
1. Hot flashes? 448 1.2 1.3 0 1 4 1.1 – 1.3 0.0007
2. Difficulty with bladder control (when laughing or crying)? 451 0.6 1.1 0 0 4 0.5 – 0.7 0.3078
3. Difficulty with bladder control (at other times)? 450 0.6 1.1 0 0 4 0.5 – 0.7 0.0199
4. Genital itching/irritation? 449 0.6 1.1 0 0 4 0.5 – 0.7 0.6769
5. Vaginal dryness? 445 1.4 1.5 0 1 4 1.3 – 1.6 0.0330
6. Pain with intercourse? 434 1.0 1.5 0 0 4 0.9 – 1.1 0.0070
7. Night sweats? 450 1.1 1.4 0 0 4 1.0 – 1.3 0.4159
MSS Total Score 429 6.6 5.7 0 6 26 6.0 – 7.1 0.0035
Age ≥ 40 Years
1. Hot flashes? 632 1.5 1.4 0 1 4 1.4 – 1.6 ---
2. Difficulty with bladder control (when laughing or crying)? 633 0.7 1.2 0 0 4 0.6 – 0.8 ---
3. Difficulty with bladder control (at other times)? 629 0.7 1.1 0 0 4 0.6 – 0.8 ---
4. Genital itching/irritation? 631 0.6 1.0 0 0 4 0.5 – 0.6 ---
5. Vaginal dryness? 626 1.6 1.5 0 1 4 1.5 – 1.7 ---
6. Pain with intercourse? 607 1.3 1.6 0 0 4 1.1 – 1.4 ---
7. Night sweats? 627 1.2 1.4 0 1 4 1.1 – 1.3 ---
MSS Total Score 589 7.6 5.7 0 7 26 7.2 – 8.1 ---
*

p-value for comparing scores between patients age < 40 years and patients age ≥ 40 years. Using a Bonferroni correction due to performance of 8 tests suggests using a significance level of 0.05/8 = 0.00625 for each test.

Table 3.

Relationship of Menopausal Symptoms to Years from Diagnosis

Domain N Mean SD Min Median Max 95% CI p-value*
< 5 Years Since Diagnosis
1. Hot flashes? 399 1.5 1.4 0 1 4 1.3 – 1.6 0.0153
2. Difficulty with bladder control (when laughing or crying)? 400 0.6 1.1 0 0 4 0.5 – 0.7 0.1729
3. Difficulty with bladder control (at other times)? 398 0.5 1.0 0 0 4 0.4 – 0.6 0.0055
4. Genital itching/irritation? 397 0.6 1.1 0 0 4 0.5 – 0.7 0.2309
5. Vaginal dryness? 395 1.3 1.5 0 1 4 1.2 – 1.5 < 0.0001
6. Pain with intercourse? 390 1.0 1.4 0 0 4 0.8 – 1.1 0.0014
7. Night sweats? 399 1.2 1.4 0 1 4 1.1 – 1.4 0.0571
MSS Total Score 381 6.8 5.6 0 6 26 6.2 – 7.4 0.2311
5 – 10 Years Since Diagnosis
1. Hot flashes? 361 1.4 1.4 0 1 4 1.2 – 1.5 ---
2. Difficulty with bladder control (when laughing or crying)? 363 0.7 1.2 0 0 4 0.6 – 0.8 ---
3. Difficulty with bladder control (at other times)? 361 0.7 1.2 0 0 4 0.6 – 0.8 ---
4. Genital itching/irritation? 363 0.5 1.0 0 0 4 0.4 – 0.6 ---
5. Vaginal dryness? 361 1.6 1.6 0 1 4 1.4 – 1.7 ---
6. Pain with intercourse? 354 1.2 1.6 0 0 4 1.0 – 1.4 ---
7. Night sweats? 359 1.2 1.4 0 1 4 1.1 – 1.4 ---
MSS Total Score 347 7.4 5.8 0 7 26 6.8 – 8.0 ---
> 10 Years Since Diagnosis
1. Hot flashes? 284 1.2 1.3 0 1 4 1.0 – 1.3 ---
2. Difficulty with bladder control (when laughing or crying)? 285 0.8 1.2 0 0 4 0.6 – 0.9 ---
3. Difficulty with bladder control (at other times)? 284 0.8 1.2 0 0 4 0.6 – 0.9 ---
4. Genital itching/irritation? 284 0.5 1.0 0 0 4 0.4 – 0.6 ---
5. Vaginal dryness? 280 1.8 1.5 0 2 4 1.7 – 2.0 ---
6. Pain with intercourse? 265 1.4 1.6 0 0 4 1.2 – 1.6 ---
7. Night sweats? 283 1.0 1.3 0 0 4 0.9 – 1.2 ---
MSS Total Score 258 7.5 5.6 0 7 25 6.8 – 8.2 ---
*

p-value for comparing scores across categories. Using a Bonferroni correction due to performance of 8 tests suggests using a significance level of 0.05/8 = 0.00625 for each test. For “Vaginal dryness?” and “Pain with intercourse?” the “< 5 Years Since Diagnosis” and “>10 Years Since Diagnosis” groups are significantly different from one another, but neither of these groups is significantly different from the “5 – 10 Years Since Diagnosis” group.

Eighteen percent of patients reportedly currently taking prescription medications for depression, and 15% of patients were taking prescription medicine for anxiety. Eleven percent of patients were taking medications for hot flashes.

QOL Domains

Table 4 demonstrates the effects of race and age upon QOL. Black women scored higher (i.e., greater distress) than white women in the area of financial problems (p=0.001). In comparison to white women, Hispanic women had worse family distress scores (p=0.0028). The distress about family score represents a summary of: whether patients were worried that their family members were at risk of developing cancer, concern that family members may have cancer-causing genes, and worries about whether family members should have genetic tests for cancer. No other statistically significant differences were seen among the two ethnicities.

Table 4.

Effects of Race and Age upon Quality of Life (QOL)

Domain N SD Min Median Max 95% CI p-value*

White
Negative Feelings 846 11.2 4.2 4 10 28 10.9 – 11.5 0.4065
rev Positive Feelings 799 10.7 5.0 4 10 28 10.4 – 11.1 0.5147
Cognitive Problems 826 12.0 5.0 4 11 28 11.6 – 12.3 0.1566
Physical Pain 822 9.3 5.2 4 8 28 9.0 – 9.7 0.0626
Sexual Interest 803 7.4 3.8 2 7 14 7.2 – 7.7 0.1343
Sexual Function 819 6.3 3.6 2 6 14 6.1 – 6.5 0.0988
rev Fatigue a 830 12.1 5.3 4 11 27 11.7 – 12.5 0.0523
Social Avoidance 798 8.8 4.9 4 8 28 8.5 – 9.2 0.0058
Financial Problems 825 9.5 6.5 4 7 28 9.1 – 9.9 0.0010
rev Benefits of Cancer 830 12.9 6.0 4 12 28 12.4 – 13.3 0.0105
Distress about Family b 834 12.9 6.9 4 10.7 28 12.5 – 13.4 0.0028
Appearance Concerns 822 11.6 6.0 4 10 28 11.2 – 12.0 0.5331
Distress about Recurrence 816 13.7 6.2 4 12 28 13.3 – 14.1 0.5284
Summary Score: Generic c 721 77.0 26.7 28 73 166 75.1 – 79.0 0.3701
Summary Score: Cancer Specific d 785 44.1 17.9 15 41 102 42.8 – 45.3 0.0086
Spanish / Hispanic
Negative Feelings 106 11.6 5.2 4 11 26 10.6 – 12.6 ---
rev Positive Feelings 102 10.0 5.7 4 8 26 8.8 – 11.1 ---
Cognitive Problems 106 12.3 5.7 4 11 28 11.2 – 13.4 ---
Physical Pain 105 9.7 5. 4 9 25 8.7 – 10.7 ---
Sexual Interest 98 6.7 4.1 2 6 14 5.9 – 7.5 ---
Sexual Function 103 6.0 3.8 2 5 14 5.3 – 6.7 ---
rev Fatigue a 106 12.6 5.6 4 12 28 11.5 – 13.7 ---
Social Avoidance 97 9.6 5.6 4 8 26 8.4 – 10.7 ---
Financial Problems 103 11.2 7.1 4 9 28 9.8 – 12.5 ---
rev Benefits of Cancer 107 11.1 6.5 4 9 28 9.9 – 12.4 ---
Distress about Family b 109 15.2 7.7 4 13.3 28 13.8 – 16.7 ---
Appearance Concerns 104 12.2 6.3 4 11.5 28 11.0 – 13.4 ---
Distress about Recurrence 104 14.5 6.7 4 14 28 13.2 – 15.8 ---
Summary Score: Generic c 83 80.0 32.7 29 74 168 72.8 – 87.1 ---
Summary Score: Cancer Specific d 96 49.1 18.9 15 45.5 102 45.3 – 53.0 ---
Black
Negative Feelings 88 12.0 5.5 4 10.5 26 10.8 – 13.1 ---
rev Positive Feelings 84 10.5 5.4 4 9 25 9.3 – 11.7 ---
Cognitive Problems 88 12.5 6.2 4 11 27 11.2 – 13.8 ---
Physical Pain 87 10.9 6.7 4 9 27 9.5 – 12.3 ---
Sexual Interest 88 6.9 4.0 2 6 14 6.0 – 7.7 ---
Sexual Function 90 5.4 3.7 2 4 14 4.6 – 6.1 ---
rev Fatigue a 91 13.2 5.9 4 12 26 11.9 – 14.4 ---
Social Avoidance 87 10.8 6.7 4 9 28 9.4 – 12.2 ---
Financial Problems 90 12.1 7.6 4 10 28 10.5 – 13.7 ---
rev Benefits of Cancer 90 11.4 5.9 4 11 28 10.2 – 12.7 ---
Distress about Family b 91 14.7 7.6 4 12 28 13.1 – 16.2 ---
Appearance Concerns 89 12.1 6.6 4 11 28 10.7 – 13.5 ---
Distress about Recurrence 90 14.1 6.4 4 13 28 12.7 – 15.4 ---
Summary Score: Generic c 70 81.3 36.2 33 67.5 173 72.6 – 89.9 ---
Summary Score: Cancer Specific d 85 49.1 20.4 15 47 105 44.7 – 53.5 ---
Asian / Pacific Islander
Negative Feelings 36 11.6 4.4 4 11 25 10.1 – 13.1 ---
rev Positive Feelings 35 10.3 4.6 4 10 20 8.8 – 11.9 ---
Cognitive Problems 37 10.3 4.4 4 9 21 8.8 – 11.7 ---
Physical Pain 37 9.3 5.0 4 8 28 7.6 – 11.0 ---
Sexual Interest 34 6.6 3.6 2 6 14 5.4 – 7.9 ---
Sexual Function 35 5.8 3.2 2 5 14 4.7 – 6.9 ---
rev Fatigue a 37 10.4 4.9 4 10 23 8.8 – 12.0 ---
Social Avoidance 35 9.5 3.9 4 9 17 8.2 – 10.8 ---
Financial Problems 35 9.7 6.1 4 9 23 7.7 – 11.8 ---
rev Benefits of Cancer 37 12.3 6.3 4 13 25 10.2 – 14.4 ---
Distress about Family b 37 12.6 6.4 4 12 28 10.5 – 14.8 ---
Appearance Concerns 37 10.8 5.6 4 10 24 8.9 – 12.7 ---
Distress about Recurrence 37 13.1 6.6 4 12 28 10.9 – 15.3 ---
Summary Score: Generic c 31 72.4 27.2 34 68 153 62.4 – 82.3 ---
Summary Score: Cancer Specific d 35 42.8 20.4 15 40 92 35.8 – 49.8 ---
Age < 40 Years
Negative Feelings 441 11.7 4.5 4 11 26 11.2 – 12.1 0.0532
rev Positive Feelings 426 10.6 5.1 4 10 28 10.2 – 11.1 0.9024
Cognitive Problems 443 12.1 5.3 4 12 26 11.6 – 12.5 0.6642
Physical Pain 443 9.0 5.2 4 8 28 8.6 – 9.5 0.0300
Sexual Interest 430 6.8 3.9 2 6 14 6.5 – 7.2 0.0016
Sexual Function 442 5.9 3.5 2 5 14 5.6 – 6.2 0.0523
rev Fatigue a 445 12.1 5.2 4 11 27 11.6 – 12.6 0.6441
Social Avoidance 431 9.1 5.2 4 8 28 8.6 – 9.6 0.9173
Financial Problems 441 10.2 6.9 4 8 28 9.6 – 10.9 0.1400
rev Benefits of Cancer 444 12.1 6.0 4 11 28 11.6 – 12.7 0.0484
Distress about Family b 447 13.5 7.1 4 12 28 12.9 – 14.2 0.3587
Appearance Concerns 442 12.0 6.1 4 11 28 11.4 – 12.6 0.1234
Distress about Recurrence 435 14.3 6.5 4 13 28 13.6 – 14.9 0.0498
Summary Score: Generic c 390 77.3 28.3 28 71.5 166 74.5 – 80.1 0.9011
Summary Score: Cancer Specific d 417 46.2 18.7 15 44 102 44.4 – 48.0 0.0611
Age ≥ 40 Years
Negative Feelings 614 11.1 4.4 4 10 28 10.8 – 11.5 ---
rev Positive Feelings 598 10.6 5.1 4 9 25 10.2 – 11.0 ---
Cognitive Problems 618 11.9 5.2 4 11 28 11.5 – 12.3 ---
Physical Pain 612 9.8 5.4 4 8 28 9.3 – 10.2 ---
Sexual Interest 597 7.6 3.8 2 7 14 7.3 – 7.9 ---
Sexual Function 609 6.4 3.7 2 6 14 6.1 – 6.6 ---
rev Fatigue a 623 12.2 5.6 4 11 28 11.8 – 12.7 ---
Social Avoidance 590 9.1 5.1 4 8 28 8.7 – 9.5 ---
Financial Problems 616 9.6 6.6 4 7 28 9.1 – 10.1 ---
rev Benefits of Cancer 624 12.9 6.1 4 12 28 12.4 – 13.3 ---
Distress about Family b 628 13.1 7.0 4 10.7 28 12.6 – 13.7 ---
Appearance Concerns 614 11.4 6.0 4 10 28 10.9 – 11.9 ---
Distress about Recurrence 616 13.5 6.0 4 12 28 13.0 – 14.0 ---
Summary Score: Generic c 519 77.5 28.0 28 73 173 75.1 – 80.0 ---
Summary Score: Cancer Specific d 588 44.0 18.1 15 40 105 42.5 – 45.5 ---
a

(reverse Q1) + Q5 + Q11 + Q14

b

Q31 + Q34 + Q42 +Mean(Q31, Q34, Q42)

c

Sum (Negative Feelings Subscale, Positive Feelings Subscale (reversed), Cognitive Problems Subscale, Physical Pain Subscale, Sexual Problems Subscale, Energy/Fatigue Subscale (reverse Q1), Social Avoidance Subscale)

d

Sum (Financial Subscale, Distress Family Subscale (Q31 + Q34 + Q42), Appearance Subscale, Distress Recurrence Subscale)

*

p-value for comparing scores for patients age < 40 years at diagnosis versus patients age ≥ 40 years at diagnosis. Using a Bonferroni correction due to performance of 15 tests suggests using a significance level of 0.05/15 = 0.0033 for each test.

Stage and neoadjuvant chemotherapy did not have a significant effect on QLACS in this study. However, patients who were >10 years from diagnosis had significantly poorer sexual interest (p=0.0003) than women were closer to their diagnosis (table not shown). Also, patients <40 years at time of diagnosis had significantly poorer sexual interest (p=0.0016) than women > 40 years at the time of diagnosis.

Discussion

This is the largest cross-sectional survey to date to evaluate the long-term effects of BC diagnosis and treatment in YBCS. However, the cross-sectional nature of the study itself, as well as the fact that the data came from a single insitutition, were limitations of this study;. In addition, our study was limited by the fact that our patient population stemmed from patients who were referred to a tertiary cancer center, which may have affected the demographics and treatment patterns noted in the study. Rates of mastectomy were high, possibly reflecting the concerns about risk of recurrence in the ipsilateral or contralateral breast related to genetics. In addition, more than half of patients received chemotherapy and/or endocrine therapy.

Our study found that approximately one-third of these young patients developed menopause due to BC treatment. Only 34% noted that the topic of infertility had been discussed with them prior to initiation of therapy. This percentage is substantially lower than estimates found in other studies, such as by Partridge and colleagues.7 Potentially, recall bias may have affected this discrepancy, as these data were reported several years after diagnosis. Nevertheless, as many of these patients were diagnosed prior to the emergence of guidance regarding fertility discussions by the American Society of Clinical Oncology (ASCO) in 2006, it may be useful to perform a future study to determine whether an evolution in the incidence of fertility discussions has occurred since then.22 Among those who performed a procedure to preserve fertility, there was wide variation involving the type of procedures, with no clear preferred intervention noted in this group.

This study demonstrated a significant effect of race, age, and year of diagnosis upon discrete domains; these factors affected QOL to a greater degree than other important aspects of BC diagnosis and treatment, such as stage and chemotherapy. While the study was limited by the paucity of normative values for these QOL measures, the study did demonstrate that black women demonstrated significantly higher levels of distress involving financial problems than their white or Hispanic counterparts, pointing to a need for targeted counseling in this area. In addition, Hispanic women expressed greater concerns regarding their family's predisposition for malignancy, as well as cancer-specific subscores, highlighting a greater need for genetic education and intervention in these domains. The significant differences across ethnicities discovered in our study, in addition to recent research in this area, point to the need for studies with larger numbers of minority YBCS. (23-25)

Furthermore, age at diagnosis and years from diagnosis also had a profound effect upon QOL, with younger women noting greater distress related to vasomotor dysfunction and dyspareunia, and women who were < 5 years from diagnosis noting more concerns related to vaginal dryness and dyspareunia. These findings are consistent with previous research describing treatment effects on reproductive health of YBCS.3,10,12,14 Unlike our study, these studies included YBCS who were <12 months from diagnosis. Our findings further demonstrate the persistence of these symptoms in long term YBCS and the need for continued symptom assessment. In addition, the negative effect of greater years of diagnosis upon sexual interest appears initially counterintuitive, but may be related to continued fear of recurrence and the fear of pregnancy's impact upon this risk.8 In addition, the findings also confirm that simply time from diagnosis does not alleviate impact on sexual interest. These levels of suffering reflect the need for more focused sexual counseling and education for these groups of women, whose surveys revealed that these difficulties outweighed distress related to potentially equally important concerns, such as fertility and body image.

Despite our attempts to increase the minority population in this study by using race/ethnic concordant letters of support from community leaders, our study was limited by fewer black and Hispanic patients. The lower response rate from minority survivors indicates the need for concerted educational and collaborative partnerships with these communities to increase relevance and trust. However, our study clearly demonstrates the need for improved targeted interventions, based upon factors such as race, age, and time from diagnosis. In addition, it is noted that, despite the suboptimal recruitment of minority patients, differences in areas of distress involving finances, family predisposition, and cancer-specific subscores remained significant. Although our findings add to the continuing research exploring treatment effects in minority BCS, further research is warranted with larger numbers of ethnically diverse YBCS. For just as BC treatment has evolved and improved through targeted therapies to address areas of disease such as her-2/neu positive disease, there is an unmet need for targeted psychosocial interventions to assist important segments of our BC population.

Acknowledgements

This study received support from the Patient-Reported Outcomes, Survey, and Population Research (PROSPR) Shared Resource (National Cancer Institute at the National Institutes of Health [#CA 16672].

Funding: This work was supported by The Young Breast Cancer Survivors’ Program at the University of Texas MD Anderson Cancer Center.

Footnotes

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Conflict of Interest

Phuong Khanh H. Morrow is employed by and owns stock in Amgen, Inc. This work was completed while she was an Assistant Professor at the University of Texas MD Anderson Cancer Center.

All other authors have no conflicts of interest.

Disclosures: Dr. P.K. Morrow is an employee of Amgen. All remaining authors have declared no conflicts of interest.

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