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Erschienen in: Breast Cancer Research 1/2019

Open Access 01.12.2019 | Research article

Association between C-reactive protein and radiotherapy-related pain in a tri-racial/ethnic population of breast cancer patients: a prospective cohort study

verfasst von: Eunkyung Lee, Omar L. Nelson, Carolina Puyana, Cristiane Takita, Jean L. Wright, Wei Zhao, Isildinha M. Reis, Rick Y. Lin, WayWay M. Hlaing, Johnna L. Bakalar, George R. Yang, Jennifer J. Hu

Erschienen in: Breast Cancer Research | Ausgabe 1/2019

Abstract

Background

Post-surgery adjuvant radiotherapy (RT) significantly improves clinical outcomes in breast cancer patients; however, some patients develop cancer or treatment-related pain that negatively impacts quality of life. This study examined an inflammatory biomarker, C-reactive protein (CRP), in RT-related pain in breast cancer.

Methods

During 2008 and 2014, breast cancer patients who underwent RT were prospectively evaluated for pre- and post-RT pain. Pre- and post-RT plasma CRP levels were measured using a highly sensitive CRP ELISA kit. Pain score was assessed as the mean of four pain severity items (i.e., pain at its worst, least, average, and now) from the Brief Pain Inventory. Pain scores of 4–10 were classified as clinically relevant pain. Multivariable logistic regression analyses were applied to ascertain the associations between CRP and RT-related pain.

Results

In 366 breast cancer patients (235 Hispanic whites, 73 black/African Americans, and 58 non-Hispanic whites), 17% and 30% of patients reported pre- and post-RT pain, while 23% of patients had RT-related pain. Both pre- and post-RT pain scores differed significantly by race/ethnicity. In multivariable logistic regression analysis, RT-related pain was significantly associated with elevated pre-RT CRP (≥ 10 mg/L) alone (odds ratio (OR) = 2.44; 95% confidence interval (CI) = 1.02, 5.85); or combined with obesity (OR = 4.73; 95% CI = 1.41, 15.81) after adjustment for age and race/ethnicity.

Conclusions

This is the first pilot study of CRP in RT-related pain, particularly in obese breast cancer patients. Future larger studies are warranted to validate our findings and help guide RT decision-making processes and targeted interventions.
Hinweise

Electronic supplementary material

The online version of this article (https://​doi.​org/​10.​1186/​s13058-019-1151-y) contains supplementary material, which is available to authorized users.
Abkürzungen
AA
African American/black
ALND
Axillary lymph node dissection
BCS
Breast-conserving surgery
BMI
Body mass index
CI
Confidence interval
CRP
C-reactive protein
ER
Estrogen receptor
HER2
Human epidermal growth factor receptor 2
HT
Hormone therapy
HW
Hispanic whites
NHW
Non-Hispanic whites
OR
Odds ratio
PR
Progesterone receptor
QOL
Quality of life
RT
Radiotherapy
SD
Standard deviation
SLNB
Sentinel lymph node biopsy

Background

Breast cancer is the most frequently diagnosed cancer and the second leading cause of cancer death among American women [1]. Compared to breast-conserving surgery (BCS) alone, adjuvant radiotherapy (RT) has significantly reduced loco-regional recurrences [2]. However, RT-induced adverse responses negatively impact patient overall quality of life (QOL). Breast erythema, pain, retraction at the tumor-bed site, fibrosis, cardiac morbidity, lymphedema, and telangiectasia are among the known adverse responses to RT [36]. Pain is one of the most prevalent symptoms and is an important QOL issue in breast cancer survivors [710].
A recent study reported the presence of racial-ethnic disparities in pain experience upon completion of RT [11], indicating the heterogeneity in the RT responses. The identification of a biomarker that can predict treatment-related symptoms is an important research question in the field of radiation oncology. Exposure to ionizing radiation induces immune/inflammatory responses to promote tissue repair [12], and elevated pro-inflammatory cytokines are potential biomarkers for RT-induced toxicities [1315]. However, very few studies have examined biomarkers for RT-related pain. Recently, our lab reported that RT-induced skin toxicity was associated with an increase in plasma C-reactive protein (CRP) levels [15, 16]. This may suggest a potential relationship between inflammatory responses and RT-induced skin toxicities, which can be another source of treatment-related pain for patients with breast cancer.
CRP has been widely used as a robust inflammatory biomarker for many health conditions in both clinical and research settings, and several studies have shown a positive correlation between plasma CRP levels and pain intensity in cancer patients [1719]; however, these results were from cross-sectional studies, which were often limited by uncertain temporal relationships or from the univariate analysis without adjustment for confounding variables [20, 21]. In addition, the study samples were limited to a specific racial/ethnic group, resulting in limited generalizability of the findings.
Therefore, we aimed to examine the associations between CRP levels and RT-related pain among breast cancer patients who underwent adjuvant RT using a prospective study design. We hypothesized that breast cancer patients with elevated CRP levels would be more likely to report pain, which may identify CRP as an inflammatory biomarker for pain. We also hypothesized that patients with elevated pre-RT CRP may be at higher risk in developing RT-related pain. Pain sensitization is one of the most important risk factors for persistent pain [22, 23]; thus, identifying potential biomarkers or mediators will be a critical strategy to identify those at risk of RT-related pain and targeted interventions among breast cancer patients.

Methods

Study design and patient population

Data for the current analysis was obtained from a prospective cohort study (University of Miami, FL, USA) where the goal was to examine the disparity of RT-induced early adverse skin reactions in a racially and ethnically diverse population of breast cancer patients. Briefly, the study recruited breast cancer patients from the Radiation Oncology clinics at the University of Miami Sylvester Comprehensive Cancer Center and Jackson Memorial Hospital in Miami, Florida, between December 2008 and August 2014. Patients were followed up for up to 12 months after the completion of RT. At the time of enrollment, each participant completed a self-administered baseline questionnaire. In addition, participants completed QOL questionnaire on the first day before initiation of RT, on the last day immediately after completion of RT, and at each follow-up visit (1, 2, 6, and 12 months). The current study only used QOL data collected on the first day of RT (i.e., pre-RT) and on the last day of RT (i.e. post-RT). The treating radiation oncologist met patients each week during the radiation treatment and evaluated adverse skin reactions at week 3 (mid-treatment), at week 6 (completion of RT), and at each follow-up visit. We collected blood samples (20 mL) at pre- and post-RT for biomarker data. Blood samples were processed within 2 h of phlebotomy, and the aliquoted plasma samples were stored at − 80 °C until assay. The study was approved by Institutional Review Boards of the University of Miami and Jackson Memorial Hospital, and all patients provided written informed consent.
The inclusion criteria were adult (≥ 18 years old at the time of diagnosis) female patients, newly diagnosed with breast cancer (AJCC stage 0–III) who had undergone BCS and planned to receive adjuvant RT to the whole breast with or without regional lymph nodes (total dose ≥ 40 Gy, dose per fraction ≥ 2.0 Gy). Other criteria included patients belonging to one of three racial/ethnic groups [self-reported non-Hispanic whites (NHW), black/African Americans (AA), and Hispanic whites (HW)] and being able to speak English or Spanish. The exclusion criteria were patients diagnosed with stage IV breast cancer and those that received partial breast irradiation and/or concurrent chemoradiation. Patients with missing pain score and/or CRP level at pre- or post-RT were excluded. To increase the validity of RT-related change in pain score, patients who reported pain due to other acute health conditions unrelated to cancer or radiation (such as shingles or fracture) were also excluded from the analysis after medical record verification.

Radiation treatment

RT was delivered using standard or partially wide photon tangents using 6 and/or 10MV photons with forward planned field-in-field technique to maximize dose homogeneity. Patients received RT to the whole breast ± regional lymph nodes with conventional fractionation (2.0 Gy/day over 5–6 weeks, mostly 50 Gy in 25 fractions) or hypo-fractionation (> 2.0 Gy/day over 3 weeks, most commonly 42.4 Gy in 16 fractions). An additional boost dose of 10–20 Gy without bolus was delivered to the tumor-bed site in most patients. Radiation oncologists contoured target volumes, including the breast and lumpectomy cavity. The treatment plan was completed on the Eclipse or Pinnacle planning systems.

Assessment of pain

All women enrolled in the study filled out the National Surgical Adjuvant Breast and Bowel Project (NSABP) B-39/RTOG 0413 protocol QOL questionnaire pre- and post-RT. This questionnaire measured QOL relating to breast cosmesis, fatigue, treatment-related symptoms, and perceived convenience of care. The section pertaining to treatment-related symptoms included four pain severity items, which were extracted from the Brief Pain Inventory (BPI): “Rate your pain at its worst, at its least, on average in the past four weeks, and now (0 = no pain to 10 = pain as bad as you can imagine).” The pain score was measured as a mean of these four pain severity items; a pain score of 4–10 was used to define the presence of clinically relevant pain because pain ≥ 4 indicates a moderate to severe level of pain, as used in previous studies [7, 24, 25]. In addition, patients who reported an increase in pain level from pre- to post-RT (i.e., pain score changed from < 4 to ≥ 4) was defined as having RT-related pain as previously reported [11] and compared to patients with pain score < 4 at both pre- and post-RT.

Assessment of plasma CRP

Plasma CRP levels were measured using a high-sensitivity CRP enzyme-linked immunosorbent assay (ELISA) kit (Calbiotech, Spring Valley, CA) according to the manufacturer’s protocol, as previously described [16]. A standard curve was generated for each batch of samples based on CRP concentrations, which ranged from 0.2 to 10.0 mg/L. To ensure that the diluted samples were within the linear range of the standard curve, we re-ran the assays by adjusting the dilution ratio if samples were outside the detection range. The average coefficient of variation was 8.3%, and the inter-assay variation was less than 10%. The cut-off value of CRP level was determined based on clinical usage and literature review where CRP ≥ 10.0 mg/L is a prognostic biomarker for breast cancer survival [26]. For CRP change, we used 1.0 mg/L as the cut-off value because it has been significantly associated with RT-induced skin toxicity in the same patient population [16]. Considering that CRP is an acute-phase protein with a half-life of 18 h, we collected post-RT blood samples immediately after RT on the last day consistently among all sample patients.

Assessment of covariates

Demographic information, self-reported race and ethnicity, comorbidities, and smoking history/status were obtained from a self-administered baseline questionnaire at the time of enrollment. A high correlation was found between the comorbidities reported on the questionnaires and those extracted from medical records [27, 28]. Tumor characteristics, such as tumor stage, estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2), and detailed information on treatments were ascertained from medical records.

Statistical analysis

We first examined the distributions and frequencies of patient-, tumor-, and treatment-related characteristics overall and by race/ethnicity using the Pearson’s chi-square test or the Fisher’s exact test. The analysis of variance (ANOVA) was used to compare CRP levels by patient characteristics. The Pearson's chi-square test or the Fisher's exact test was used to compare the frequencies of elevated CRP or pain by patient characteristics. Univariable and multivariable logistic regression analyses were used to test whether elevated pre-RT CRP and/or obesity (BMI ≥ 30 kg/m2) were significantly associated with RT-related pain. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were reported. In addition, we performed the receiver operating characteristics (ROC) curve analysis to evaluate whether pre-RT CRP level and/or obesity contribute to RT-related pain. A two-tailed P value < 0.05 was considered statistically significant, and all statistical analyses were performed using SAS 9.4 (SAS Institute, Cary, NC, USA).

Results

Patient population characteristics

The study population consisted of 366 breast cancer patients: 64% HW, 20% AA, and 16% NHW. The mean ± standard deviation (SD) of age was 56.0 ± 9.1 years. As shown in Table 1, AA women were more likely to have BMI ≥ 30 kg/m2, advanced stage or triple-negative tumors, larger volume (cc) of the breast, diabetes mellitus, and hypertension compared to HW or NHW women. HW women were more likely to receive hormone therapy (HT) with aromatase inhibitors prior to RT compared to other racial/ethnic groups. For breast cancer surgery, 68% of patients received BCS with or without sentinel lymph node biopsy (SLNB), and 32% received BCS with axillary lymph node dissection (ALND). For systemic therapy, about half of the patients received chemotherapy, 44% initiated HT prior to RT, and 7% began HT during RT. For RT, 84% of patients received conventional fractionation with a mean total dose of 58.2 ± 4.8 (SD) Gy, including an additional boost to the lumpectomy cavity, and 16% were treated with hypo-fractionated regimens. There were no significant differences in RT treatment regimens across the three racial/ethnic groups. Overall, patients reported a significantly higher pain score at post-RT (mean ± SD = 2.8 ± 2.5) compared to pre-RT (mean ± SD = 1.7 ± 2.1). In general, AA and HW patients had significantly higher pre-RT and post-RT pain scores compared to NHW patients.
Table 1
Patient demographic, tumor, and treatment characteristics by race/ethnicity
Variable
Categories
Total
NHW
AA
HW
P 1
N
%
N
%
N
%
N
%
Total
 
366
100
58
16
73
20
235
64
 
Age (years)
< 50
95
26
18
31
19
26
58
25
0.613
≥ 50
271
74
40
69
54
74
177
75
 
Mean (SD)
56.0 (9.1)
55.6 (9.1)
54.9 (9.2)
56.5 (9.1)
 
BMI (kg/m2)
< 25
96
26
29
50
12
16
55
23
<0.0001
25–29.9
124
34
16
28
17
23
91
39
 
≥ 30
146
40
13
22
44
60
89
38
 
Mean (SD)
29.3 (6.4)
26.6 (6.3)
32.6 (8.4)
28.9 (5.2)
 
Smoking status
Never
240
66
37
64
51
70
152
64
0.490
Former
107
29
20
34
17
23
70
30
 
Current
19
5
1
2
5
7
13
6
 
Sum of 12 comorbid conditions2
0
147
40
28
48
19
26
100
43
0.119
1
137
37
20
34
32
44
85
36
 
2
60
16
7
12
18
25
35
15
 
≥ 3
22
6
3
5
4
5
15
6
 
Tumor stage
0
74
20
7
12
14
19
53
23
0.003
IA-B
180
49
37
64
28
38
115
49
 
IIA-B
90
25
13
22
29
40
48
20
 
IIIA-C
22
6
1
2
2
3
19
8
 
ER
Positive
279
76
43
74
49
67
187
80
0.072
Negative
86
23
15
26
24
33
47
20
 
PR
Positive
243
66
36
62
44
60
163
69
0.243
Negative
122
33
22
38
29
40
71
30
 
HER2
Positive
31
8
4
7
6
8
21
9
0.730
Negative
275
75
50
86
56
77
169
72
 
Triple negative
No
294
80
47
81
52
71
195
83
0.005
Yes
54
15
8
14
20
27
26
11
 
Axillary surgery
None/SLNB
248
68
39
67
54
74
155
66
0.439
ALND
118
32
19
33
19
26
80
34
 
Chemotherapy
No
195
53
31
53
39
53
125
53
0.999
Yes
171
47
27
47
34
47
110
47
 
Hormone therapy/initiation time
None/after RT
178
49
37
64
41
56
100
43
0.015
Aromatase inhibitor before RT
98
27
9
16
14
19
75
32
 
Aromatase inhibitor during RT
14
4
3
5
2
3
9
4
 
Tamoxifen before RT
64
17
6
10
12
16
46
20
 
Tamoxifen during RT
12
3
3
5
4
5
5
2
 
RT fractionation
Conventional
306
84
45
78
64
88
197
84
0.298
Hypo
60
16
13
22
9
12
38
16
 
Total RT dose (Gy)
< 60
107
29
21
36
18
25
68
29
0.348
≥ 60
259
71
37
64
55
75
167
71
 
Mean (SD)
58.2 (4.8)
58.4 (4.6)
58.7 (4.9)
58.0 (4.8)
 
Boost
Yes
331
90
56
97
65
89
210
89
0.225
No
35
10
2
3
8
11
25
11
 
Breast volume (cc)
< 892.1 (median)
183
50
38
66
20
27
125
53
< 0.001
≥ 892.1 (median)
179
49
20
34
52
71
107
46
 
Mean (SD)
996 (532)
799 (464)
1254 (645)
965 (479)
 
Pre-RT pain
Mean (SD)
1.7 (2.1)
1.0 (1.3)
2.0 (2.5)
1.8 (2.1)
0.023
Post-RT pain
Mean (SD)
2.8 (2.5)
1.9 (1.7)
3.2 (2.6)
2.8 (2.6)
0.013
1P values from the chi-square test or Fisher's exact test, or ANOVA, excluding missing. Significant findings are in italics
2Sum of 12 patient-reported comorbid conditions: diabetes, hypertension, heart disease, lung disease, thyroid disease, cirrhosis liver, stroke, chronic bronchitis, hepatitis, tuberculosis, and 2 others
Abbreviations: NHW non-Hispanic whites, AA black or African American, HW Hispanic whites, SD standard deviation, BMI body mass index, ER estrogen receptor, PR progesterone receptor, HER2 human epidermal growth factor receptor 2, SLNB sentinel lymph node biopsy, ALND axillary lymph node dissection, RT radiotherapy

Plasma CRP levels at pre- and post-RT and RT-related CRP change

As shown in Table 2, there was no significant difference between pre- (mean ± SD = 6.5 ± 9.3) and post-RT (mean ± SD = 6.1 ± 8.9) plasma CRP levels. The CRP levels were significantly higher in obese patients at both pre- and post-RT. Pre-RT CRP levels were significantly higher in patients with pre- or post-RT pain score ≥ 4. Post-RT CRP levels were significantly higher in patients with smoking history, post-RT pain score ≥ 4, larger breast volume, and tamoxifen treatment during RT.
Table 2
CRP levels by patient, treatment characteristics, and pain status
Variable
Pre-RT CRP (mg/L)
Post-RT CRP (mg/L)
N
Mean
SD
MD
P 1
N
Mean
SD
MD
P 1
Study population
362
6.5
9.3
3.5
 
338
6.1
8.9
3.5
0.6462
Race/ethnicity
 NHW
58
6.1
12.4
2.8
0.879
53
5.2
12.1
2.2
0.541
 AA
71
6.9
8.0
4.4
 
66
7.0
6.7
5.5
 
 HW
233
6.4
8.8
3.5
 
219
6.0
8.6
3.7
 
Age (years)
 < 50
94
6.2
10.7
3.1
0.797
86
5.6
10.1
2.8
0.571
 ≥ 50
268
6.5
8.8
3.7
 
252
6.2
8.5
3.9
 
BMI (kg/m2)
 < 25
94
3.1
6.3
1.2
0.0001
87
3.1
8.4
1.4
0.0009
 25–29.99
124
7.3
11.0
3.7
 
117
6.5
9.5
3.8
 
 ≥ 30
144
8.0
8.8
4.9
 
134
7.7
8.4
5.3
 
Smoking history
 Never
238
5.8
8.6
3.4
0.066
225
5.4
7.8
3.4
0.046
 Ever
124
7.7
10.3
3.7
 
113
7.4
10.7
3.9
 
Pre-RT pain score
 < 4
286
5.9
8.8
3.3
0.014
266
5.6
8.4
3.4
0.054
 ≥ 4
59
9.3
11.8
4.9
 
56
8.1
10.3
4.2
 
Post-RT pain score
 < 4
230
5.4
8.2
3.1
0.007
226
5.3
7.8
3.2
0.014
 ≥ 4
101
8.3
9.9
4.6
 
99
7.9
11.0
4.8
 
Tumor stage
 0
73
6.1
8.2
3.6
0.916
65
6.3
8.3
3.4
0.872
 IA-B
180
6.4
10.0
3.3
 
165
6.3
10.8
3.4
 
 IIA-III
109
6.7
8.8
3.9
 
108
5.7
5.7
4.2
 
Breast volume (cc)
 < 892.1 cc (median)
181
5.2
8.2
2.6
0.011
169
5.0
9.2
2.4
0.021
 ≥ 892.1 cc (median)
177
7.7
10.2
4.6
 
165
7.2
8.6
5.0
 
Hormone therapy
 None/after RT
175
6.7
10.5
3.2
0.736
159
5.7
7.9
3.3
0.032
 AI before
97
6.7
7.7
4.8
 
95
7.2
10.0
4.6
 
 AI during
14
4.5
4.0
3.3
 
14
5.1
5.3
3.8
 
 Tamoxifen before
64
5.5
8.8
2.8
 
59
4.3
6.0
2.4
 
 Tamoxifen during
12
8.2
9.3
5.1
 
11
12.8
21.0
5.1
 
RT fractionation
 Conventional
302
6.4
9.1
3.5
0.632
289
6.2
9.2
3.5
0.575
 Hypo
60
7.0
10.2
3.5
 
49
5.4
7.0
3.7
 
1P values from ANOVA; significant findings are in italics
2Paired t test comparing pre- and post-RT CRP
Abbreviations: NHW non-Hispanic whites, AA black or African American, HW Hispanic whites, BMI body mass index, AI aromatase inhibitor, SD standard deviation, MD median

Clinically relevant pain by selected variables and CRP levels

As shown in Table 3, the proportion of patients who reported clinically relevant pain (pain score ≥ 4) increased from 17% at pre-RT to 30% at post-RT. Pre-RT pain was more prevalent in patients with AA or HW race/ethnicity, BMI ≥ 30 kg/m2, HER2-positive tumor, received trastuzumab alone or taxane+trastuzumab, received ALND, or pre-RT CRP ≥ 10 mg/L, compared to their respective comparison groups. Post-RT pain was more prevalent in patients with AA or HW race/ethnicity, age < 50 years, BMI ≥ 30 kg/m2, at least 2 comorbid conditions, conventional RT fractionation, total RT dose ≥ 60 Gy, or pre-RT CRP ≥ 10 mg/L, compared to their respective counterparts. About 23% of patients had RT-related pain, and it was more frequent in patients with AA or HW race/ethnicity, at least 2 comorbid conditions, conventional RT fractionation, or RT-induced CRP change > 1 mg/L.
Table 3
Pre-RT, post-RT, and RT-related pain by selected variables and CRP status
Variable
Categories
Pre-RT pain1 (N = 349)
Post-RT pain1 (N = 335)
RT-related pain2 (N = 262)
No (< 4)
Yes (≥ 4)
 
No (< 4)
Yes (≥ 4)
 
No
Yes
 
N
%
N
%
P 3
N
%
N
%
P 3
N
%
N
%
P 3
Total
 
290
83
59
17
 
233
70
102
30
 
203
77
59
23
 
Race/ethnicity
NHW
53
96
2
4
0.016
45
88
6
12
0.003
42
89
5
11
0.018
AA
58
82
13
18
 
42
60
28
40
 
37
66
19
34
 
HW
179
80
44
20
 
146
68
68
32
 
124
78
35
22
 
Age (years)
< 50
75
81
17
19
0.639
51
60
34
40
0.027
46
69
21
31
0.045
≥ 50
215
84
42
16
 
182
73
68
27
 
157
81
38
19
 
BMI (kg/m2)
< 25
84
88
11
12
0.009
68
81
16
19
0.001
63
85
11
15
0.075
25–29.99
101
88
14
12
 
85
74
30
26
 
73
78
20
22
 
≥ 30
105
75
34
25
 
80
59
56
41
 
67
71
28
29
 
Sum of 12 comorbid conditions4
0
114
84
22
16
0.897
103
75
34
25
0.009
87
83
18
17
0.009
1
111
83
22
17
 
88
73
33
27
 
79
81
18
19
 
2
48
83
10
17
 
32
57
24
43
 
28
64
16
36
 
≥ 3
17
77
5
23
 
10
48
11
52
 
9
56
7
44
 
HER2
Positive
18
62
11
38
0.004
16
59
11
41
0.294
10
71
4
29
0.676
Negative
220
84
42
16
 
177
69
79
31
 
155
76
48
24
 
Chemotherapy
None
159
85
27
15
0.140
128
72
50
28
0.455
115
80
29
20
0.416
Taxane
123
79
32
21
 
100
68
48
32
 
83
75
27
25
 
Other
8
100
0
0
 
5
56
4
44
 
5
63
3
38
 
Trastuzumab
No
274
85
49
15
0.005
218
70
92
30
0.281
194
78
55
22
0.497
Yes
16
61
10
39
 
15
60
10
40
 
9
69
4
31
 
Taxane+trastuzumab
None/other chemo only
166
86
26
14
0.012
132
71
53
29
0.558
120
79
31
21
0.667
Either
109
82
24
18
 
87
68
40
32
 
74
75
25
25
 
Both
15
62
9
38
 
14
61
9
39
 
9
75
3
25
 
Axillary surgery
None/SLNB
205
86
33
14
0.027
163
72
63
28
0.141
145
78
40
22
0.590
ALND
85
77
26
23
 
70
64
39
36
 
58
75
19
25
 
RT fractionation
Conventional
240
82
52
18
0.309
190
67
94
33
0.013
165
75
55
25
0.028
Hypo
50
88
7
12
 
43
84
8
16
 
38
90
4
10
 
Total RT dose (Gy)
< 60
92
89
11
11
0.045
74
80
19
20
0.014
66
84
13
16
0.123
≥ 60
198
80
48
20
 
159
66
83
34
 
137
75
46
25
 
Pre-RT CRP (mg/L)
< 10
256
85
45
15
0.006
210
73
79
27
0.001
183
79
48
21
0.056
≥ 10
30
68
14
32
 
20
48
22
52
 
17
63
10
37
 
Post-RT CRP (mg/L)
< 10
234
83
47
17
0.410
203
71
82
29
0.077
175
78
49
22
0.373
≥ 10
32
78
9
22
 
23
58
17
43
 
22
71
9
29
 
RT-related CRP change (mg/L)
≤ 1
192
82
41
18
0.992
170
72
67
28
0.140
151
82
34
18
0.006
> 1
70
82
15
18
 
53
63
31
37
 
43
65
23
35
 
1Pain score ≥ 4 (moderate or severe pain) was considered yes for clinically relevant pain
2Patients with pre-RT pain score < 4 and post-RT pain score ≥ 4 or < 4 were considered yes or no for RT-related pain
3P values were from the chi-square test or Fisher's exact test excluding missing. Significant findings are in italics
4Sum of 12 patient-reported comorbid conditions: diabetes, hypertension, heart disease, lung disease, thyroid disease, cirrhosis liver, stroke, chronic bronchitis, hepatitis, tuberculosis, and 2 others

Plasma CRP levels by pain status

In Table 4, we summarize CRP levels in 4 or 8 groups of patients and identified significantly higher CRP levels (mean ± SD = 10.8 ± 12.1) in 34 patients with pain scores ≥ 4 at both pre- and post-RT. We have also identified 20 patients with pain score ≥ 4 at pre-RT but < 4 at post-RT. In stratified analysis by obesity, we identified 11 non-obese patients with high pre-RT CRP also had pain scores ≥ 4 at both pre- and post-RT. Therefore, we limited subsequent data analysis of RT-related pain to only two groups of patients with pre-RT pain score <  4 and post-RT score either < 4 (no) or ≥ 4 (yes).
Table 4
CRP levels by pre- and post-RT pain stratified by obesity
BMI
Pre-RT pain
Post RT pain
N
Pre-RT CRP
Post-RT CRP
 
Mean
SD
Median
P 1
Mean
SD
Median
P 1
P 2
NA
No
No
194
5.5
8.4
3.3
0.278
5.2
7.9
3.2
0.034
0.675
NA
No
Yes
57
7.1
8.8
3.4
 
7.2
10.8
4.8
 
0.936
NA
Yes
No
20
5.4
9.2
2.2
0.010
5.6
9.5
3.3
0.075
0.807
NA
Yes
Yes
34
10.8
12.1
6.0
 
8.8
10.2
5.6
 
0.278
< 30
No
No
130
5.1
9.2
2.6
0.786
4.4
8.1
2.0
0.169
0.423
< 30
No
Yes
31
5.4
8.1
2.7
 
7.4
14.1
3.2
 
0.366
< 30
Yes
No
10
4.4
7.0
2.2
0.393
3.6
2.4
3.1
0.647
0.676
< 30
Yes
Yes
11
12.1
16.8
3.6
 
7.5
11.5
4.2
 
0.304
≥ 30
No
No
64
6.3
6.3
4.6
0.480
6.9
7.1
4.8
0.368
0.497
≥ 30
No
Yes
26
9.0
9.5
5.9
 
6.9
4.8
5.9
 
0.259
≥ 30
Yes
No
10
6.4
11.3
2.7
0.022
7.7
13.3
3.5
0.142
0.114
≥ 30
Yes
Yes
23
10.1
9.4
6.4
 
9.4
9.7
6.9
 
0.677
1Unadjusted P value from the Wilcoxon two-sample test (comparing 2 groups by pain status)
2P value from the paired t test within each group (comparing pre-RT and post-RT CRP). Significant findings are in italics

Association between pre-RT CRP and RT-related pain

In Table 5, we evaluated the association of elevated pre-RT CRP (≥ 10 mg/L) and/or obesity with RT-related pain. In multivariable model, there was a significant association between high pre-RT CRP and RT-related pain (OR = 2.44, 95% CI = 1.02, 5.85) regardless of obesity status. In obese patients, there was a stronger association between high pre-RT CRP and RT-related pain (OR = 3.71, 95% CI = 1.05, 13.09) than in non-obese patients (OR = 1.36, 95% CI = 0.35, 5.39). Therefore, we conducted a combined analysis to show that patients with BMI ≥ 30 kg/m2 and pre-RT CRP ≥ 10 mg/L had 4.73-fold elevated risk for RT-related pain (95% CI = 1.41, 15.81) compared to patients with BMI <  30 kg/m2 and pre-RT CRP < 10 mg/L. All models were adjusted for age and race/ethnicity.
Table 5
Association between pre-RT CRP and RT-related pain by obesity
BMI
Pre-RT CRP
N
%
RT-related pain
Univariable
Multivariable1
N
%
OR (95%CI)
P
OR (95%CI)
P
< 30
NA
161
64
31
54
Ref
 
Ref
 
≥ 30
NA
90
36
26
46
1.70 (0.93, 3.11)
0.082
1.49 (0.80, 2.78)
0.211
NA
< 10 mg/L
225
90
47
82
Ref
 
Ref
 
NA
≥ 10 mg/L
26
10
10
18
2.37 (1.01, 5.55)
0.048
2.44 (1.02, 5.85)
0.046
< 30
< 10 mg/L
148
92
28
90
Ref
 
Ref
 
< 30
≥ 10 mg/L
13
8
3
10
1.29 (0.33, 4.98)
0.716
1.36 (0.35, 5.39)
0.659
≥ 30
< 10 mg/L
77
86
19
73
Ref
 
Ref
 
≥ 30
≥ 10 mg/L
13
14
7
27
3.56 (1.07, 11.91)
0.039
3.71 (1.05, 13.09)
0.041
< 30
< 10 mg/L
148
59
28
49
Ref
 
Ref
 
< 30
≥ 10 mg/L
13
5
3
5
1.29 (0.33, 4.98)
0.716
1.34 (0.34, 5.26)
0.678
≥ 30
< 10 mg/L
77
31
19
33
1.40 (0.73, 2.72)
0.315
1.22 (0.62, 2.42)
0.567
≥ 30
≥ 10 mg/L
13
5
7
12
5.00 (1.56, 16.03)
0.007
4.73 (1.41, 15.81)
0.012
1All models were adjusted for age (< 50, ≥ 50) and race/ethnicity (NHW, HW, AA). Significant findings are in italics
We also present ROC curves of high pre-RT CRP and/or obesity in predicting RT-related pain for (A) all, (B) NHW, (C) HW, and (D) AA patients and their corresponding area under the curve (AUC). The gray line represents the theoretical performance of the variable equivalent to a coin toss. The blue line is for obesity (BMI ≥ 30 kg/m2), the red line is for pre-RT CRP ≥ 10 mg/L, and the green line shows the combined effect of obesity and pre-RT CRP ≥ 10 mg/L. The results show some improvements of AUC in the combined BMI and pre-RT CRP model for NHW (AUC = 0.6540) and AA (AUC = 0.6524) patients (see Additional file 1: Figure S1).

Discussion

Postoperative adjuvant RT significantly reduces local-regional recurrence and improves breast cancer survival. Therefore, there has been increasing usage of adjuvant RT in early-stage breast cancer patients. However, RT is associated with skin toxicities and other late effects that negatively impact QOL. We evaluated whether the inflammatory biomarker, CRP, was associated with RT-related pain. To the best of our knowledge, this is the first study to date reporting a significant association between pre-RT CRP and RT-related pain.
Consistent with literature, the proportion of patients who experienced clinically relevant pain increased from pre-RT (17%) to post-RT (30%) [7, 29]. Pre-RT pain may be related to other cancer treatments (e.g., surgery and/or chemotherapy). Intriguingly, a higher proportion of patients with at least two comorbid conditions showed an elevated risk for post-RT pain [30]. It is notable that not all patients reported an increase in pain score after RT. Specifically, 194 patients reported pain score < 4 at both pre- and post-RT. A total of 57 patients reported the change of pain score from < 4 at pre-RT to ≥ 4 at post-RT. Twenty patients reported pain score change from ≥ 4 at pre-RT to < 4 at post-RT. Thirty-four patients reported pain score ≥ 4 at both pre- and post-RT. These findings are consistent with another study among breast cancer patients, which reported that cancer pain was not static, but rather could progress or regress [25]. Inter-individual variations in pain may be related to differences in responses to RT, genetic factors, and inflammatory responses.
The CRP level in normal human serum ranges from 0.2 to 10 mg/L; 90% of apparently healthy individuals have CRP levels < 3 mg/L; and only 1% have levels ≥ 10 mg/L. In our study, 13% and 13% of patients had pre-RT and post-RT CRP ≥ 10 mg/L, respectively (Table 3). Radiation sensitivity is a complex and inherited polygenic trait, with many genes in multiple biological pathways. Genetic studies are warranted to elucidate the contribution of genetic variants in racial/ethnic differences of RT-related pain. In addition, a higher proportion of AA patients were obese (60%), compared to 22% of NHW and 38% of HW patients, respectively. Other studies have also reported that a higher proportion of AA women had elevated inflammatory cytokines including CRP and interleukin (IL)-6, relative to NHW women [31, 32]. This may explain, in part, why AA patients experience more cancer treatment-related symptoms such as pain, skin toxicity, nausea/vomiting, and depression compared to NHW patients [11, 3335].
Multiple studies have shown that irradiation increases immune/inflammatory responses [12, 36], and there is evidence showing a positive correlation between elevated inflammatory cytokines and pain severity in both human [17, 19] and animal studies [37, 38]. In addition to pain, elevated pro-inflammatory cytokines, including CRP, after cancer treatment have been associated with persistent fatigue and sleep disturbances in breast cancer patients [18, 39]. These findings may suggest the existence of a shared etiology in cancer treatment-related symptoms. Given that immune/inflammation underscores cancer treatment-related symptoms, the use of anti-inflammatory agents as prophylactic treatment may be considered.
Our current data provides evidence that CRP is associated with RT-related pain in breast cancer patients. Our findings have several clinical implications. First, elevated plasma CRP has been associated with cancer prognosis, vascular atherosclerosis, insulin resistance, and type 2 diabetes mellitus that may impact overall survival. Therefore, patients with elevated post-RT CRP levels should be actively monitored for other medical conditions that may also impact overall survival. Second, considering the involvement of CRP in fatigue and prognosis of breast cancer, future follow-up studies will focus on monitoring CRP levels, QOL, and clinical outcomes. Third, growing evidence suggests that plasma CRP is positively associated with sugar intake but negatively associated with dietary intakes of minerals, vitamins, and polyunsaturated fatty acids [40]. Therefore, modulating CRP concentrations by modifying dietary intakes may be a promising intervention strategy. Lastly, we observed a stronger association between elevated pre-RT CRP and RT-related pain in obese patients. Considering that CRP and BMI are highly correlated, weight reduction may also reduce pre-RT CRP levels and RT-related pain.
Multiple studies have shown the predictive value of CRP in cancer outcomes [4143]. This study further adds to the literature by reporting a significant association between elevated pre-RT CRP level and RT-related pain. However, using a threshold AUC of 0.8 by ROC analysis, combining BMI and pre-RT CRP levels may not be a strong predictor for RT-related pain. With a limited sample size, we did not include many other clinical or treatment variables. Larger studies are warranted to further test our predictive models, which should include other patient/clinical variables and additional promising biomarkers to improve their utilities in predicting RT-related pain.
There are several strengths and limitations of this study. First, we used a prospective study design that is particularly suitable to conduct biomarker research and RT-related pain. We followed patients and collected biological samples over time and recorded patient-reported QOL on the first and last day of RT to minimize recall bias, which provides more precise estimates of biomarkers and pain. This is the first study showing racial/ethnic differences in pre- and post-RT pain, which may help bridge the knowledge gap regarding the mechanisms of racial/ethnic disparities in cancer treatment-related QOL.
Several limitations should also be taken into consideration. First, because CRP is a non-specific inflammatory biomarker, CRP levels can be influenced by multiple factors including anti-inflammatory drug use and/or other health conditions. Second, despite the prospective cohort study design, some covariates (i.e., comorbidities) were collected only one point in time. The lack of repeated measures prevented us from capturing changes in health status, which may influence CRP and pain levels. Third, some variables that may influence individual patient’s pain experience and CRP level (i.e., the use of pain medication and anti-inflammatory agents) were not available for this study, thus should be considered for future studies. Fourth, the nature of pain (nociceptive or neuropathic) may be differently influenced by inflammatory responses; however, the detailed pain quality data was not available in the current analysis. Lastly, we used patient-reported information on comorbid conditions, which might introduce reporting bias. However, many studies have reported high reliability of self-reported information when compared to medical records [27, 28].

Conclusions

In summary, our current data show a significant association between elevated pre-RT CRP and RT-related pain in breast cancer patients. More importantly, we demonstrate for the first time that obese patients with pre-RT CRP ≥ 10 mg/L have a significantly increased risk of RT-related pain compared to non-obese patients with pre-RT CRP < 10 mg/L. Therefore, our current data suggest that there is an association between inflammatory responses and RT-related pain. Our results will need to be validated externally in other study populations. If validated, these results pave the way for testing anti-inflammatory agents in reducing RT-related pain.

Acknowledgements

The authors are thankful to all women who participated in the study and the clinical staff at the radiation oncology clinics for their support.

Funding

This study was supported by two National Institutes of Health grants R01CA135288 and R03CA195643 (J.J.H.) and the University of Miami Sheila and David Fuente Neuropathic Pain Pre-Doctoral fellowship (E.L).

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
All women participated in the study provided written informed consent. The study was approved by the Institutional Review Boards of the University of Miami and the Jackson Memorial Hospital.
Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.
Literatur
1.
Zurück zum Zitat Siegel RL, Miller KD, Jemal A. Cancer statistics, 2018. CA Cancer J Clin. 2018;68(1):7–30.CrossRef Siegel RL, Miller KD, Jemal A. Cancer statistics, 2018. CA Cancer J Clin. 2018;68(1):7–30.CrossRef
2.
Zurück zum Zitat Early Breast Cancer Trialists’ Collaborative G, Darby S, McGale P, Correa C, Taylor C, Arriagada R, Clarke M, Cutter D, Davies C, Ewertz M, et al. Effect of radiotherapy after breast-conserving surgery on 10-year recurrence and 15-year breast cancer death: meta-analysis of individual patient data for 10,801 women in 17 randomised trials. Lancet. 2011;378(9804):1707–16.CrossRef Early Breast Cancer Trialists’ Collaborative G, Darby S, McGale P, Correa C, Taylor C, Arriagada R, Clarke M, Cutter D, Davies C, Ewertz M, et al. Effect of radiotherapy after breast-conserving surgery on 10-year recurrence and 15-year breast cancer death: meta-analysis of individual patient data for 10,801 women in 17 randomised trials. Lancet. 2011;378(9804):1707–16.CrossRef
3.
Zurück zum Zitat Pignol JP, Olivotto I, Rakovitch E, Gardner S, Sixel K, Beckham W, Vu TT, Truong P, Ackerman I, Paszat L. A multicenter randomized trial of breast intensity-modulated radiation therapy to reduce acute radiation dermatitis. J Clin Oncol. 2008;26(13):2085–92.CrossRef Pignol JP, Olivotto I, Rakovitch E, Gardner S, Sixel K, Beckham W, Vu TT, Truong P, Ackerman I, Paszat L. A multicenter randomized trial of breast intensity-modulated radiation therapy to reduce acute radiation dermatitis. J Clin Oncol. 2008;26(13):2085–92.CrossRef
4.
Zurück zum Zitat Collette S, Collette L, Budiharto T, Horiot JC, Poortmans PM, Struikmans H, Van den Bogaert W, Fourquet A, Jager JJ, Hoogenraad W, et al. Predictors of the risk of fibrosis at 10 years after breast conserving therapy for early breast cancer: a study based on the EORTC trial 22881-10882 ‘boost versus no boost’. Eur J Cancer. 2008;44(17):2587–99.CrossRef Collette S, Collette L, Budiharto T, Horiot JC, Poortmans PM, Struikmans H, Van den Bogaert W, Fourquet A, Jager JJ, Hoogenraad W, et al. Predictors of the risk of fibrosis at 10 years after breast conserving therapy for early breast cancer: a study based on the EORTC trial 22881-10882 ‘boost versus no boost’. Eur J Cancer. 2008;44(17):2587–99.CrossRef
5.
Zurück zum Zitat Poortmans PM, Collette L, Horiot JC, Van den Bogaert WF, Fourquet A, Kuten A, Noordijk EM, Hoogenraad W, Mirimanoff RO, Pierart M, et al. Impact of the boost dose of 10 Gy versus 26 Gy in patients with early stage breast cancer after a microscopically incomplete lumpectomy: 10-year results of the randomised EORTC boost trial. Radiother Oncol. 2009;90(1):80–5.CrossRef Poortmans PM, Collette L, Horiot JC, Van den Bogaert WF, Fourquet A, Kuten A, Noordijk EM, Hoogenraad W, Mirimanoff RO, Pierart M, et al. Impact of the boost dose of 10 Gy versus 26 Gy in patients with early stage breast cancer after a microscopically incomplete lumpectomy: 10-year results of the randomised EORTC boost trial. Radiother Oncol. 2009;90(1):80–5.CrossRef
6.
Zurück zum Zitat Buchholz TA. Radiation therapy for early-stage breast cancer after breast-conserving surgery. N Engl J Med. 2009;360(1):63–70.CrossRef Buchholz TA. Radiation therapy for early-stage breast cancer after breast-conserving surgery. N Engl J Med. 2009;360(1):63–70.CrossRef
7.
Zurück zum Zitat Gartner R, Jensen MB, Nielsen J, Ewertz M, Kroman N, Kehlet H. Prevalence of and factors associated with persistent pain following breast cancer surgery. J Am Med Assoc. 2009;302(18):1985–92.CrossRef Gartner R, Jensen MB, Nielsen J, Ewertz M, Kroman N, Kehlet H. Prevalence of and factors associated with persistent pain following breast cancer surgery. J Am Med Assoc. 2009;302(18):1985–92.CrossRef
8.
Zurück zum Zitat Whelan TJ, Levine M, Julian J, Kirkbride P, Skingley P. The effects of radiation therapy on quality of life of women with breast carcinoma: results of a randomized trial. Ontario Clinical Oncology Group. Cancer. 2000;88(10):2260–6.CrossRef Whelan TJ, Levine M, Julian J, Kirkbride P, Skingley P. The effects of radiation therapy on quality of life of women with breast carcinoma: results of a randomized trial. Ontario Clinical Oncology Group. Cancer. 2000;88(10):2260–6.CrossRef
9.
Zurück zum Zitat Chen SC, Lai YH, Liao CT, Lin CC, Chang JT. Changes of symptoms and depression in oral cavity cancer patients receiving radiation therapy. Oral Oncol. 2010;46(7):509–13.CrossRef Chen SC, Lai YH, Liao CT, Lin CC, Chang JT. Changes of symptoms and depression in oral cavity cancer patients receiving radiation therapy. Oral Oncol. 2010;46(7):509–13.CrossRef
10.
Zurück zum Zitat Mak KS, Chen YH, Catalano PJ, Punglia RS, Wong JS, Truong L, Bellon JR. Dosimetric inhomogeneity predicts for long-term breast pain after breast-conserving therapy. Int J Radiat Oncol Biol Phys. 2014;93(5):1087–95.CrossRef Mak KS, Chen YH, Catalano PJ, Punglia RS, Wong JS, Truong L, Bellon JR. Dosimetric inhomogeneity predicts for long-term breast pain after breast-conserving therapy. Int J Radiat Oncol Biol Phys. 2014;93(5):1087–95.CrossRef
11.
Zurück zum Zitat Lee E, Takita C, Wright JL, Reis IM, Zhao W, Nelson OL, Hu JJ. Characterization of risk factors for adjuvant radiotherapy-associated pain in a tri-racial/ethnic breast cancer population. Pain. 2016;157(5):1122–31.CrossRef Lee E, Takita C, Wright JL, Reis IM, Zhao W, Nelson OL, Hu JJ. Characterization of risk factors for adjuvant radiotherapy-associated pain in a tri-racial/ethnic breast cancer population. Pain. 2016;157(5):1122–31.CrossRef
12.
Zurück zum Zitat Mukherjee D, Coates PJ, Lorimore SA, Wright EG. Responses to ionizing radiation mediated by inflammatory mechanisms. J Pathol. 2014;232(3):289–99.CrossRef Mukherjee D, Coates PJ, Lorimore SA, Wright EG. Responses to ionizing radiation mediated by inflammatory mechanisms. J Pathol. 2014;232(3):289–99.CrossRef
13.
Zurück zum Zitat Ki Y, Kim W, Nam J, Kim D, Park D, Kim D. C-reactive protein levels and radiation-induced mucositis in patients with head-and-neck cancer. Int J Radiat Oncol Biol Phys. 2009;75(2):393–8.CrossRef Ki Y, Kim W, Nam J, Kim D, Park D, Kim D. C-reactive protein levels and radiation-induced mucositis in patients with head-and-neck cancer. Int J Radiat Oncol Biol Phys. 2009;75(2):393–8.CrossRef
14.
Zurück zum Zitat Chen MF, Chen WC, Lai CH, Hung CH, Liu KC, Cheng YH. Predictive factors of radiation-induced skin toxicity in breast cancer patients. BMC Cancer. 2010;10:508.CrossRef Chen MF, Chen WC, Lai CH, Hung CH, Liu KC, Cheng YH. Predictive factors of radiation-induced skin toxicity in breast cancer patients. BMC Cancer. 2010;10:508.CrossRef
15.
Zurück zum Zitat Hu JJ, Urbanic JJ, Case LD, Takita C, Wright JL, Brown DR, Langefeld CD, Lively MO, Mitchell SE, Thakrar A, et al. Association between inflammatory biomarker C-reactive protein and radiotherapy-induced early adverse skin reactions in a multiracial/ethnic breast cancer population. J Clin Oncol. 2018;36(24):2473–82.CrossRef Hu JJ, Urbanic JJ, Case LD, Takita C, Wright JL, Brown DR, Langefeld CD, Lively MO, Mitchell SE, Thakrar A, et al. Association between inflammatory biomarker C-reactive protein and radiotherapy-induced early adverse skin reactions in a multiracial/ethnic breast cancer population. J Clin Oncol. 2018;36(24):2473–82.CrossRef
16.
Zurück zum Zitat Rodriguez-Gil JL, Takita C, Wright J, Reis IM, Zhao W, Lally BE, Hu JJ. Inflammatory biomarker C-reactive protein and radiotherapy-induced early adverse skin reactions in patients with breast cancer. Cancer Epidemiol Biomarkers Prev. 2014;23(9):1873–83.CrossRef Rodriguez-Gil JL, Takita C, Wright J, Reis IM, Zhao W, Lally BE, Hu JJ. Inflammatory biomarker C-reactive protein and radiotherapy-induced early adverse skin reactions in patients with breast cancer. Cancer Epidemiol Biomarkers Prev. 2014;23(9):1873–83.CrossRef
17.
Zurück zum Zitat Oliveira KG, von Zeidler SV, Lamas AZ, Podesta JR, Sena A, Souza ED, Lenzi J, Lemos EM, Gouvea SA, Bissoli NS. Relationship of inflammatory markers and pain in patients with head and neck cancer prior to anticancer therapy. Braz J Med Biol Res. 2014;47(7):600–4.CrossRef Oliveira KG, von Zeidler SV, Lamas AZ, Podesta JR, Sena A, Souza ED, Lenzi J, Lemos EM, Gouvea SA, Bissoli NS. Relationship of inflammatory markers and pain in patients with head and neck cancer prior to anticancer therapy. Braz J Med Biol Res. 2014;47(7):600–4.CrossRef
18.
Zurück zum Zitat Starkweather AR, Lyon DE, Schubert CM. Pain and inflammation in women with early-stage breast cancer prior to induction of chemotherapy. Biol Res Nurs. 2013;15(2):234–41.CrossRef Starkweather AR, Lyon DE, Schubert CM. Pain and inflammation in women with early-stage breast cancer prior to induction of chemotherapy. Biol Res Nurs. 2013;15(2):234–41.CrossRef
19.
Zurück zum Zitat Laird BJ, Scott AC, Colvin LA, McKeon AL, Murray GD, Fearon KC, Fallon MT. Cancer pain and its relationship to systemic inflammation: an exploratory study. Pain. 2011;152(2):460–3.CrossRef Laird BJ, Scott AC, Colvin LA, McKeon AL, Murray GD, Fearon KC, Fallon MT. Cancer pain and its relationship to systemic inflammation: an exploratory study. Pain. 2011;152(2):460–3.CrossRef
20.
Zurück zum Zitat Archer JA, Hutchison IL, Dorudi S, Stansfeld SA, Korszun A. Interrelationship of depression, stress and inflammation in cancer patients: a preliminary study. J Affect Disord. 2012;143(1–3):39–46.CrossRef Archer JA, Hutchison IL, Dorudi S, Stansfeld SA, Korszun A. Interrelationship of depression, stress and inflammation in cancer patients: a preliminary study. J Affect Disord. 2012;143(1–3):39–46.CrossRef
21.
Zurück zum Zitat Pertl MM, Hevey D, Boyle NT, Hughes MM, Collier S, O'Dwyer AM, Harkin A, Kennedy MJ, Connor TJ. C-reactive protein predicts fatigue independently of depression in breast cancer patients prior to chemotherapy. Brain Behav Immun. 2013;34:108–19.CrossRef Pertl MM, Hevey D, Boyle NT, Hughes MM, Collier S, O'Dwyer AM, Harkin A, Kennedy MJ, Connor TJ. C-reactive protein predicts fatigue independently of depression in breast cancer patients prior to chemotherapy. Brain Behav Immun. 2013;34:108–19.CrossRef
22.
Zurück zum Zitat Miaskowski C, Cooper B, Paul SM, West C, Langford D, Levine JD, Abrams G, Hamolsky D, Dunn L, Dodd M, et al. Identification of patient subgroups and risk factors for persistent breast pain following breast cancer surgery. J Pain. 2012;13(12):1172–87.CrossRef Miaskowski C, Cooper B, Paul SM, West C, Langford D, Levine JD, Abrams G, Hamolsky D, Dunn L, Dodd M, et al. Identification of patient subgroups and risk factors for persistent breast pain following breast cancer surgery. J Pain. 2012;13(12):1172–87.CrossRef
23.
Zurück zum Zitat Langford DJ, Schmidt B, Levine JD, Abrams G, Elboim C, Esserman L, Hamolsky D, Mastick J, Paul SM, Cooper B, et al. Preoperative breast pain predicts persistent breast pain and disability after breast cancer surgery. J Pain Symptom Manag. 2015;49(6):981–94.CrossRef Langford DJ, Schmidt B, Levine JD, Abrams G, Elboim C, Esserman L, Hamolsky D, Mastick J, Paul SM, Cooper B, et al. Preoperative breast pain predicts persistent breast pain and disability after breast cancer surgery. J Pain Symptom Manag. 2015;49(6):981–94.CrossRef
24.
Zurück zum Zitat Sipila R, Estlander AM, Tasmuth T, Kataja M, Kalso E. Development of a screening instrument for risk factors of persistent pain after breast cancer surgery. Br J Cancer. 2012;107(9):1459–66.CrossRef Sipila R, Estlander AM, Tasmuth T, Kataja M, Kalso E. Development of a screening instrument for risk factors of persistent pain after breast cancer surgery. Br J Cancer. 2012;107(9):1459–66.CrossRef
25.
Zurück zum Zitat Mejdahl MK, Andersen KG, Gartner R, Kroman N, Kehlet H. Persistent pain and sensory disturbances after treatment for breast cancer: six year nationwide follow-up study. BMJ. 2013;346:f1865.CrossRef Mejdahl MK, Andersen KG, Gartner R, Kroman N, Kehlet H. Persistent pain and sensory disturbances after treatment for breast cancer: six year nationwide follow-up study. BMJ. 2013;346:f1865.CrossRef
26.
Zurück zum Zitat Villasenor A, Flatt SW, Marinac C, Natarajan L, Pierce JP, Patterson RE. Postdiagnosis C-reactive protein and breast cancer survivorship: findings from the WHEL study. Cancer Epidemiol Biomarkers Prev. 2014;23(1):189–99.CrossRef Villasenor A, Flatt SW, Marinac C, Natarajan L, Pierce JP, Patterson RE. Postdiagnosis C-reactive protein and breast cancer survivorship: findings from the WHEL study. Cancer Epidemiol Biomarkers Prev. 2014;23(1):189–99.CrossRef
27.
Zurück zum Zitat Ye F, Moon DH, Carpenter WR, et al. Comparison of patient report and medical records of comorbidities: results from a population-based cohort of patients with prostate cancer. JAMA Oncol. 2017;3(8):1035–42.CrossRef Ye F, Moon DH, Carpenter WR, et al. Comparison of patient report and medical records of comorbidities: results from a population-based cohort of patients with prostate cancer. JAMA Oncol. 2017;3(8):1035–42.CrossRef
28.
Zurück zum Zitat Pit SW, Byles JE, Cockburn J. Accuracy of telephone self-report of drug use in older people and agreement with pharmaceutical claims data. Drugs Aging. 2008;25(1):71–80.CrossRef Pit SW, Byles JE, Cockburn J. Accuracy of telephone self-report of drug use in older people and agreement with pharmaceutical claims data. Drugs Aging. 2008;25(1):71–80.CrossRef
29.
Zurück zum Zitat Meretoja TJ, Leidenius MH, Tasmuth T, Sipila R, Kalso E. Pain at 12 months after surgery for breast cancer. J Am Med Assoc. 2014;311(1):90–2.CrossRef Meretoja TJ, Leidenius MH, Tasmuth T, Sipila R, Kalso E. Pain at 12 months after surgery for breast cancer. J Am Med Assoc. 2014;311(1):90–2.CrossRef
30.
Zurück zum Zitat Vissers PA, Thong MS, Pouwer F, Zanders MM, Coebergh JW, Van de Poll-Franse LV. The impact of comorbidity on health-related quality of life among cancer survivors: analyses of data from the PROFILES registry. J Cancer Surviv. 2013;7(4):602–13.CrossRef Vissers PA, Thong MS, Pouwer F, Zanders MM, Coebergh JW, Van de Poll-Franse LV. The impact of comorbidity on health-related quality of life among cancer survivors: analyses of data from the PROFILES registry. J Cancer Surviv. 2013;7(4):602–13.CrossRef
31.
Zurück zum Zitat Khera A, McGuire DK, Murphy SA, Stanek HG, Das SR, Vongpatanasin W, Wians FH Jr, Grundy SM, de Lemos JA. Race and gender differences in C-reactive protein levels. J Am Coll Cardiol. 2005;46(3):464–9.CrossRef Khera A, McGuire DK, Murphy SA, Stanek HG, Das SR, Vongpatanasin W, Wians FH Jr, Grundy SM, de Lemos JA. Race and gender differences in C-reactive protein levels. J Am Coll Cardiol. 2005;46(3):464–9.CrossRef
32.
Zurück zum Zitat Park NJ, Kang DH. Inflammatory cytokine levels and breast cancer risk factors: racial differences of healthy caucasian and african american women. Oncol Nurs Forum. 2013;40(5):490–500.CrossRef Park NJ, Kang DH. Inflammatory cytokine levels and breast cancer risk factors: racial differences of healthy caucasian and african american women. Oncol Nurs Forum. 2013;40(5):490–500.CrossRef
33.
Zurück zum Zitat Maly RC, Liu Y, Leake B, Thind A, Diamant AL. Treatment-related symptoms among underserved women with breast cancer: the impact of physician-patient communication. Breast Cancer Res Treat. 2010;119(3):707–16.CrossRef Maly RC, Liu Y, Leake B, Thind A, Diamant AL. Treatment-related symptoms among underserved women with breast cancer: the impact of physician-patient communication. Breast Cancer Res Treat. 2010;119(3):707–16.CrossRef
34.
Zurück zum Zitat Martinez KA, Snyder CF, Malin JL, Dy SM. Is race/ethnicity related to the presence or severity of pain in colorectal and lung cancer? J Pain Symptom Manag. 2014;48:1050–9.CrossRef Martinez KA, Snyder CF, Malin JL, Dy SM. Is race/ethnicity related to the presence or severity of pain in colorectal and lung cancer? J Pain Symptom Manag. 2014;48:1050–9.CrossRef
35.
Zurück zum Zitat Wright JL, Takita C, Reis IM, Zhao W, Lee E, Hu JJ. Racial variations in radiation-induced skin toxicity severity: data from a prospective cohort receiving postmastectomy radiation. Int J Radiat Oncol Biol Phys. 2014;90(2):335–43.CrossRef Wright JL, Takita C, Reis IM, Zhao W, Lee E, Hu JJ. Racial variations in radiation-induced skin toxicity severity: data from a prospective cohort receiving postmastectomy radiation. Int J Radiat Oncol Biol Phys. 2014;90(2):335–43.CrossRef
36.
Zurück zum Zitat Hekim N, Cetin Z, Nikitaki Z, Cort A, Saygili EI. Radiation triggering immune response and inflammation. Cancer Lett. 2015;368(2):156–63.CrossRef Hekim N, Cetin Z, Nikitaki Z, Cort A, Saygili EI. Radiation triggering immune response and inflammation. Cancer Lett. 2015;368(2):156–63.CrossRef
37.
Zurück zum Zitat Lu SG, Gold MS. Inflammation-induced increase in evoked calcium transients in subpopulations of rat dorsal root ganglion neurons. Neuroscience. 2008;153(1):279–88.CrossRef Lu SG, Gold MS. Inflammation-induced increase in evoked calcium transients in subpopulations of rat dorsal root ganglion neurons. Neuroscience. 2008;153(1):279–88.CrossRef
38.
Zurück zum Zitat Moalem-Taylor G, Allbutt HN, Iordanova MD, Tracey DJ. Pain hypersensitivity in rats with experimental autoimmune neuritis, an animal model of human inflammatory demyelinating neuropathy. Brain Behav Immun. 2007;21(5):699–710.CrossRef Moalem-Taylor G, Allbutt HN, Iordanova MD, Tracey DJ. Pain hypersensitivity in rats with experimental autoimmune neuritis, an animal model of human inflammatory demyelinating neuropathy. Brain Behav Immun. 2007;21(5):699–710.CrossRef
39.
Zurück zum Zitat Collado-Hidalgo A, Bower JE, Ganz PA, Cole SW, Irwin MR. Inflammatory biomarkers for persistent fatigue in breast cancer survivors. Clin Cancer Res. 2006;12(9):2759–66.CrossRef Collado-Hidalgo A, Bower JE, Ganz PA, Cole SW, Irwin MR. Inflammatory biomarkers for persistent fatigue in breast cancer survivors. Clin Cancer Res. 2006;12(9):2759–66.CrossRef
40.
Zurück zum Zitat Mazidi M, Kengne AP, Katsiki N, Mikhailidis DP, Banach M. Inverse association between serum antioxidant levels and inflammatory markers is moderated by adiposity: a report based on a large representative population sample of American adults. Br J Nutr. 2018;120(11):1272–8.CrossRef Mazidi M, Kengne AP, Katsiki N, Mikhailidis DP, Banach M. Inverse association between serum antioxidant levels and inflammatory markers is moderated by adiposity: a report based on a large representative population sample of American adults. Br J Nutr. 2018;120(11):1272–8.CrossRef
41.
Zurück zum Zitat Pierce BL, Ballard-Barbash R, Bernstein L, Baumgartner RN, Neuhouser ML, Wener MH, Baumgartner KB, Gilliland FD, Sorensen BE, McTiernan A, et al. Elevated biomarkers of inflammation are associated with reduced survival among breast cancer patients. J Clin Oncol. 2009;27(21):3437–44.CrossRef Pierce BL, Ballard-Barbash R, Bernstein L, Baumgartner RN, Neuhouser ML, Wener MH, Baumgartner KB, Gilliland FD, Sorensen BE, McTiernan A, et al. Elevated biomarkers of inflammation are associated with reduced survival among breast cancer patients. J Clin Oncol. 2009;27(21):3437–44.CrossRef
42.
Zurück zum Zitat Thurner EM, Krenn-Pilko S, Langsenlehner U, Stojakovic T, Pichler M, Gerger A, Kapp KS, Langsenlehner T. The elevated C-reactive protein level is associated with poor prognosis in prostate cancer patients treated with radiotherapy. Eur J Cancer. 2015;51(5):610–9.CrossRef Thurner EM, Krenn-Pilko S, Langsenlehner U, Stojakovic T, Pichler M, Gerger A, Kapp KS, Langsenlehner T. The elevated C-reactive protein level is associated with poor prognosis in prostate cancer patients treated with radiotherapy. Eur J Cancer. 2015;51(5):610–9.CrossRef
43.
Zurück zum Zitat Basu S, Harris H, Larsson A, Vasson MP, Wolk A. Is there any role for serum cathepsin S and CRP levels on prognostic information in breast cancer? The Swedish mammography cohort. Antioxid Redox Signal. 2015;23(16):1298–302.CrossRef Basu S, Harris H, Larsson A, Vasson MP, Wolk A. Is there any role for serum cathepsin S and CRP levels on prognostic information in breast cancer? The Swedish mammography cohort. Antioxid Redox Signal. 2015;23(16):1298–302.CrossRef
Metadaten
Titel
Association between C-reactive protein and radiotherapy-related pain in a tri-racial/ethnic population of breast cancer patients: a prospective cohort study
verfasst von
Eunkyung Lee
Omar L. Nelson
Carolina Puyana
Cristiane Takita
Jean L. Wright
Wei Zhao
Isildinha M. Reis
Rick Y. Lin
WayWay M. Hlaing
Johnna L. Bakalar
George R. Yang
Jennifer J. Hu
Publikationsdatum
01.12.2019
Verlag
BioMed Central
Erschienen in
Breast Cancer Research / Ausgabe 1/2019
Elektronische ISSN: 1465-542X
DOI
https://doi.org/10.1186/s13058-019-1151-y

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