Abstract
Background
According to the very limited cancer registry, incidence and mortality rates for female breast cancer in China are regarded to be increasing especially in the metropolitan areas. Representative data on the breast cancer profile of Chinese women and its time trend over years are relatively rare. The aims of the current study are to illustrate the breast cancer profile of Chinese women in time span and to explore the current treatment approaches to female breast cancer.
Methods
This was a hospital-based nation-wide and multi-center retrospective study of female primary breast cancer cases. China was divided into 7 regions according to the geographic distribution; from each region, one tertiary hospital was selected. With the exception of January and February, one month was randomly selected to represent each year from year 1999 to 2008 at every hospital. All inpatient cases within the selected month were reviewed and related information was collected based on the designed case report form (CRF). The Cancer Hospital/Institute, Chinese Academy of Medical Sciences (CICAMS) was the leading hospital in this study.
Results
Four-thousand two-hundred and eleven cases were randomly selected from the total pool of 45,200 patients and were included in the analysis. The mean age at diagnosis was 48.7 years (s.d. = 10.5 yrs) and breast cancer peaked in age group 40-49 yrs (38.6%). The most common subtype was infiltrating ductal carcinoma (86.5%). Clinical stage I & II accounted for 60.6% of 4,211 patients. Three-thousand five-hundred and thirty-four cases had estrogen receptor (ER) and progestin receptor (PR) tests, among them, 47.9% were positive for both. Two-thousand eight-hundred and forty-nine cases had human epidermal growth factor receptor 2(HER-2) tests, 25.8% of them were HER-2 positive. Among all treatment options, surgery (96.9% (4,078/4,211)) was predominant, followed by chemotherapy (81.4% (3,428/4,211). Much less patients underwent radiotherapy (22.6% (952/4,211)) and endocrine therapy (38.0% (1,599/4,211)).
Conclusions
The younger age of breast cancer onset among Chinese women and more advanced tumor stages pose a great challenge. Adjuvant therapy, especially radiotherapy and endocrine therapy are of great unmet needs.
Background
Breast cancer is the second most common cancer worldwide today, and by far the most common cancer in women in many countries, with an estimated 1.4 million new cases and 458,000 deaths around 2008 annually [1]. Although breast cancer incidence and mortality rates in the western countries have been decreasing or stable during the past 2 to 3 decades, both rates have been increasing rapidly in many developing countries [2]. In China, according to the most updated but limited cancer registries, breast cancer became the most important incident female cancer and ranked the 6th leading cause of death in Chinese women in year 2006 [3]. No nation-wide representative data of breast cancer in China was available.
The etiology of breast cancer remains unknown. Due to the lack of evidence, primary preventive strategies for breast cancer have commanded little attention. Rather, the focus has been on improving prognosis (outcome) for women developing breast cancer, through early detection and improved treatment (surgical, radiotherapy, hormonal and chemotherapeutic measures). Current therapeutic options for breast cancer in China are varied, with treatment allocation generally dependent on the accessible resources, the patient's economic status and the tumor burden. In the recent decades, when estrogen receptor (ER) status was approved to be an important treatment and prognostic factor, targeted therapy has become encouraging in breast cancer treatment [4]. But due to limited access of updated guidelines and resources, information regarding the application of breast cancer treatment with this new therapy within China is not clear.
The nation-wide multi-center 10-year (1999-2008) retrospective clinical epidemiological study of female breast Cancer in China was a retrospective study of patients with pathology confirmed primary breast cancer from 7 geographic regions across China (North, North-East, Central, South, East, North-West, and South-West). The aims of this study were to document (1) the sociodemographic characteristics and the distribution of some risk factors among Chinese female breast cancer cases; (2) the clinical characteristics of female breast cancer and (3) current treatment options for Chinese female breast cancer patients.
Methods
Study Design
This study was a hospital-based multi-center 10 year retrospective study of randomly selected pathology confirmed primary female breast cancer cases via medical chart review.
Selection of Regions and Hospitals
As described previously, China was stratified into 7 geographic regions according to the traditional administrative district definition; these regions extend over the majority of the country and represent different levels of breast cancer burden. One tertiary hospital from each region was selected to provide the required study cases.
Convenient sampling was used to choose the participant hospitals with inclusion in the study on the basis that (1) they were one of the best leading hospitals at the tertiary level and had regional referral centers providing pathology diagnosis, surgery, radiotherapy, medical oncology, and routine follow-up care for patients with breast cancer; (2) visiting patients were from different parts of the region; and (3) the breast cancer screening practices, when used, should be in accordance with Chinese national standards. A total of 7 hospitals were involved in the study, with Cancer Hospital/Institute, Chinese Academy of Medical Sciences (CICAMS) as the lead center for the overall coordination of this research in China [Figure 1].
Figure 1.
Geographic distribution of sites included in the study. 1: Cancer Institute/ Hospital, Chinese Academy of Medical Sciences 2: Liaoning Cancer Hospital 3: Second Xiangva Hospital, Central South University 4: Guangdong Sun Yat-Sen University Cancer Center 5: Zhejiang Cancer Hospital 6: First Affiliated Hospital of Xi'an Jiaotong University 7: Sichuan Cancer Hospital.
Patients
This study included pathology confirmed female primary breast cancer inpatients in one randomly selected month each from year 1999 to 2008. January and February were excluded for randomization because Chinese traditional spring festival is always in these two months and there are much fewer inpatients during the time period. In order to avoid selection bias, an enrolment scheme was adopted using alternating prespecified month of inpatient admission from year to year. For example, in the first year (1999) of data collection, pathology confirmed primary breast cancer patients admitted to inpatient treatment in March would be enrolled into the study; in the second year (2000), inpatients admitted in April would be enrolled. All cases within the selected month were reviewed and patient's information was collected based on the designed case report form (CRF). In each selected month, if inpatients admissions were less than 50 in that year, more cases from the neighbouring months were reviewed until the total number in that year reaches 50. Whereas, if inpatients number in the selected month exceeded 50, all cases should be reviewed. To ensure that the national study was geographically representative, it was designed to include patients enrolled at sites from all 7 traditional regions across China [Figure 1].
All patients enrolled in this study must meet 3 key inclusion criteria: (1) pathology confirmed primary breast cancer (2) inpatient admission date was within the selected month in the study hospital and (3) received or receiving treatment (surgery, medical oncology, radiotherapy) for breast cancer.
This study was approved by the Cancer Foundation of China Institutional Review Board. Patient consent was not required for this study because there were no anticipated risks for the participants of the study. The data was stripped of any patient identifiers per the approved procedures. De-identified data were maintained on secure database. Only research team members have access to the data. All data will be reported in aggregate.
Pathologic Diagnostic Criteria
Histological subtype was based on the 1981 and 2003 WHO histological classification criteria [5,6]. Staging of breast cancer was done according to the AJCC TNM staging system of year 1997 and after [7,8].
Data Collection and Quality Control
The following data were systematically collected for all enrolled patients via medical chart review: (1) general information including date of diagnosis, visits to other health care professionals, inpatient admission date, diagnosis at admission, inpatient discharge date, and discharge outcome; (2) demographic characteristics at the time of diagnosis/admissions including age, occupation, height, weight, education and marital status; (3) breast cancer risk factors such as age at menarche, age at menopause, age at marriage, age at first delivery, number of live birth, breastfeeding history, family history of breast cancer, use of oral contraception, history of smoking and alcohol drinking; (4) results of the clinical breast examination (CBE); (5) results of the diagnostic imaging including mammography, ultrasound and magnetic resonance imaging (MRI); (6) the use of currently available surgery approaches; (7) the use of radiotherapy for breast cancer; (8) the use of chemotherapy for breast cancer, including adjuvant chemotherapy and neoadjuvant chemotherapy; (9) the use of molecular targeted therapy for breast cancer; (10) pathological characteristics including pre-surgery cytology and pathologic examinations, intraoperative pathologic evaluation, post-surgery pathology, estrogen and progesterone receptor expressions and human epidermal growth factor receptor 2(HER-2) expression etc. Also, the ranking and number of the 10 most dominant cancer patients visits were also collected.
All above information was extracted from medical charts to the designed CRF by local clerks after training. Then two data input clerks from each site were recruited to independently double-enter data from the paper to computer based database (FoxPro). All finished double-entry databases were sent to CICAMS for validation by running EpiData. Any inconsistency found by CICAMS between the two databases was reported to the local clerks for adjudication until the databases agreed. As a final inspection, one of databases was chosen to undergo a final consistency check. Logical errors (e.g. a woman had no surgery yet had intraoperative frozen section diagnosis) were again reported back to the local sites, and the local collaborators reviewed the original medical chart again. After checking with the original medical record, the local staff sent the revised database back to CICAMS for a final analysis. During the consistency check, 5% of the medical charts were randomly selected based on the study ID and sent to CICAMS for quality control review.
Sample Size
Sample size requirements for the Chinese regional sites were a minimum of 50 patients per site per year between 1999 and 2008. To capture treatment and clinical outcomes in breast cancer over 10 years, it was mandatory to collect a total number of no less than 500 cases per hospital in time span. Pooling of data across all sites in China was employed to adequately describe disease and treatment characteristics across the country.
Data Analysis
Frequencies were run on variables related to demographic, reproductive, clinical and pathologic characteristics to determine their distribution overall and among early stage (ES) (stage I & II) compared to late stage (LS) (stage III & IV). Quantitative variables were calculated by the mean or median depending on the data distribution. The differences in distribution of variables between ES and LS were examined using Mantel-Haenszel chi-square tests and Fisher's exact tests to obtain p-values for the test of no-association.
SPSS statistical software version 17.0 was used to analyze the data. Statistical significance was assessed by two-tailed tests with α level of 0.05.
Results
A total number of 4,267 breast cancer inpatients across the various geographic regions in the study were collected. Of them, 48 cases were excluded for analysis because they were not from the selected months. Seven were deleted because the final pathological diagnoses belonged to benign tumors instead of malignancy. One case was disqualified because the 'unknown' items exceeded 50% of the CRF. A final total number of 4,211 cases from seven sites across China were included for final analysis. Table 1 illustrates the case distribution and proportion by region and year.
Table 1.
Case distribution by region and year
| Year | North | North-East | Central | South | East | North-West | South-West | Total | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| N* | n**(%) | N* | n**(%) | N* | n**(%) | N* | n**(%) | N* | n**(%) | N* | n**(%) | N* | n**(%) | N* | n**(%) | |
| 2008 | 1649 | 91(5.5) | 1632 | 82(5.0) | 647 | 73(11.3) | 782 | 75(9.6) | 1400 | 81(5.8) | 894 | 45(5.0) | 508 | 50(9.8) | 7512 | 497(6.6) |
| 2007 | 1390 | 110(7.9) | 1486 | 134(9.3) | 532 | 66(12.4) | 835 | 74(8.9) | 1262 | 83(6.6) | 458 | 51(11.1) | 404 | 50(12.4) | 6367 | 568(8.9) |
| 2006 | 1208 | 87(7.2) | 1377 | 95(6.9) | 368 | 60(16.3) | 781 | 53(6.8) | 1144 | 68(5.9) | 215 | 49(22.8) | 357 | 50(14.0) | 5450 | 462(8.5) |
| 2005 | 1108 | 60(5.4) | 1195 | 75(6.3) | 330 | 55(16.7) | 734 | 59(8.0) | 1008 | 58(5.8) | 465 | 49(10.5) | 356 | 50(14.0) | 5196 | 406(7.8) |
| 2004 | 902 | 50(5.5) | 1152 | 96(8.3) | 340 | 51(15.0) | 620 | 53(8.6) | 1065 | 64(6.1) | 313 | 53(16.9) | 322 | 50(15.5) | 4714 | 417(8.9) |
| 2003 | 715 | 50(7.0) | 1097 | 78(7.1) | 294 | 49(16.7) | 527 | 59(11.2) | 875 | 52(5.9) | 179 | 53(29.6) | 265 | 49(18.5) | 3952 | 390(9.9) |
| 2002 | 764 | 41(5.4) | 1044 | 51(4.9) | 227 | 46(20.3) | 397 | 58(14.6) | 593 | 51(8.6) | 157 | 44(28.0) | 207 | 50(24.2) | 3389 | 341(10.1) |
| 2001 | 681 | 52(7.6) | 982 | 74(7.5) | 144 | 46(31.9) | 374 | 58(15.5) | 545 | 50(9.2) | 153 | 47(30.7) | 380 | 50(13.2) | 3259 | 377(11.6) |
| 2000 | 587 | 50(8.5) | 874 | 52(6.0) | 106 | 48(45.3) | 289 | 55(19.0) | 461 | 50(10.9) | 136 | 45(33.1) | 318 | 50(15.7) | 2771 | 350(12.6) |
| 1999 | 532 | 50(9.4) | 831 | 95(11.4) | 139 | 52(37.4) | 298 | 60(20.1) | 392 | 49(12.5) | 156 | 47(30.1) | 242 | 50(20.7) | 2590 | 403(15.6) |
| Total | 9536 | 641(6.7) | 11670 | 832(7.1) | 3127 | 546(17.5) | 5637 | 604(10.7) | 8745 | 606(6.9) | 3126 | 483(15.5) | 3359 | 499(14.9) | 45200 | 4211(9.3) |
N* number of the actual breast cancer visits each year from year 1999-2008;
n** number of breast cancer cases collected per protocol.
Patients Characteristics
Of the total 4,211 cases that were identified over a period of 10 years from 1999 to 2008, the mean age at diagnosis and age range for all breast cancer patients was 48.7 years (s.d. = 10.5 yrs) and 21-86 years, respectively. Among all cases, 2,554 (60.6%) were in ES with a mean age of 49.1 years (s.d. = 10.4 yrs) while 901 (21.4%) were in LS with a mean age of 48.8 years (s.d. = 10.3 yrs). The majority (67.6%) of breast cancer patients were of normal Body Mass Index (BMI). More breast cancer cases presented in LS (59.6%) were manual workers (P < 0.001) and the proportion of receiving higher education (university and above) was much less compared with the ES group (14.2% vs. 21.3%, P = 0.008). The percentage distribution of smoking, alcohol drinking and family history of breast cancer differed between women presented in ES and LS (P < 0.050) (Table 2). More breast cancer cases (7.6% vs. 6.3%. P = 0.030) presented in LS reported to have the first delivery at or older than 30 years of age and the percentage distribution of self reported oral contraceptive use differed between women presented in ES and LS (P < 0.001) (Table 3).
Table 2.
General characteristics of breast cancer cases
| Variables by level | Total distribution | Clinical Stage I&II | Clinical Stage III&IV | ES vs. LS P-value |
|||
|---|---|---|---|---|---|---|---|
| (N = 4211) | (N = 2554) | (N = 901) | |||||
| n | % | n | % | n | % | ||
|
Age at Diagnosis (Years) (4211, 2554, 901) |
|||||||
| Mean ± SD | 48.7 ± 10.5 | -- | 49.1 ± 10.4 | -- | 48.8 ± 10.3 | -- | 0.345a |
| Range | 21~86 | -- | 21~86 | -- | 21~85 | -- | |
| ≤ 29 | 80 | 1.9 | 38 | 1.5 | 17 | 1.9 | |
| 30-39 | 710 | 16.9 | 404 | 15.8 | 144 | 16.0 | |
| 40-49 | 1624 | 38.6 | 987 | 38.7 | 341 | 37.9 | 0.088b |
| 50-59 | 1147 | 27.2 | 693 | 27.1 | 276 | 30.6 | |
| ≥ 60 | 650 | 15.4 | 432 | 16.9 | 123 | 13.7 | |
|
Body Mass Index (3281, 2107, 646 ) |
|||||||
| Mean ± SD | 23.4 ± 3.3 | -- | 23.3 ± 3.2 | -- | 23.5 ± 3.4 | -- | 0.173a |
| Range | 12.8~39.4 | -- | 14.7~36.1 | -- | 12.8~39.4 | -- | |
| Underweight (≤ 18.49) | 140 | 4.3 | 74 | 3.5 | 30 | 4.6 | |
| Normal Weight (18.50~24.99) | 2217 | 67.6 | 1461 | 69.3 | 424 | 65.6 | 0.196b |
| Overweight (25.00~29.99) | 818 | 24.9 | 511 | 24.3 | 167 | 25.9 | |
| Obesity (≥ 30.00) | 106 | 3.2 | 61 | 2.9 | 25 | 3.9 | |
| Occupation (3623, 2192, 796) | |||||||
| Housewife | 173 | 4.8 | 127 | 5.8 | 26 | 3.3 | |
| Manual Worker | 1893 | 52.3 | 1099 | 50.1 | 474 | 59.6 | < 0.001b |
| Mental Worker | 1028 | 28.4 | 659 | 30.1 | 189 | 23.7 | |
| Others | 529 | 14.6 | 307 | 14.0 | 107 | 13.4 | |
| Education (2091, 1315, 486) | |||||||
| None | 186 | 8.9 | 112 | 8.5 | 55 | 11.3 | |
| Primary School | 462 | 22.1 | 273 | 20.8 | 115 | 23.7 | |
| Middle School | 606 | 29.0 | 370 | 28.1 | 141 | 29.0 | 0.008b |
| High School | 441 | 21.1 | 280 | 21.3 | 106 | 21.8 | |
| University and above | 396 | 18.9 | 280 | 21.3 | 69 | 14.2 | |
| Marital Status (4193, 2548, 899) | |||||||
| Single | 51 | 1.2 | 25 | 1.0 | 14 | 1.6 | |
| Married | 4090 | 97.5 | 2482 | 97.4 | 878 | 97.7 | 0.073b |
| Widowed/Divorced | 52 | 1.2 | 41 | 1.6 | 7 | 0.8 | |
| Region (4211, 2554, 901)* | |||||||
| More Developed | 1851 | 44.0 | 1127 | 44.1 | 389 | 43.2 | 0.620b |
| Less Developed | 2360 | 56.0 | 1427 | 55.9 | 512 | 56.8 | |
| Smoking History (4211, 2554, 901) | |||||||
| Never | 2468 | 58.6 | 1451 | 56.8 | 596 | 66.2 | |
| Used | 47 | 1.1 | 37 | 1.5 | 9 | 1.0 | < 0.001c |
| current | 12 | 0.3 | 5 | 0.2 | 3 | 0.3 | |
| Unknown | 1684 | 40.0 | 1061 | 41.5 | 293 | 32.5 | |
|
Alcohol Drinking History (4211, 2554, 901) |
|||||||
| Never | 2427 | 57.6 | 1415 | 55.4 | 598 | 66.4 | |
| Used | 82 | 2.0 | 70 | 2.7 | 6 | 0.7 | < 0.001c |
| Now | 13 | 0.3 | 7 | 0.3 | 4 | 0.4 | |
| Unknown | 1689 | 40.1 | 1062 | 41.6 | 293 | 32.5 | |
| Breast Cancer Family History (4128, 2517, 882) | |||||||
| Yes | 144 | 3.5 | 96 | 3.8 | 21 | 2.4 | 0.045b |
| No | 3984 | 96.5 | 2421 | 96.2 | 861 | 97.6 | |
a Student's t-test
b Chi-square test
c Fisher's exact test
* More Developed Regions: North, South, and East
Less Developed Regions: North-East, Central, North-West, South-West.
Table 3.
Reproductive characteristics of breast cancer cases
| Variables by level | Total distribution (N = 4211) |
Clinical Stage I&II (N = 2554) |
Clinical Stage III&IV (N = 901) |
ES vs. LS P-value |
|||
|---|---|---|---|---|---|---|---|
| n | % | n | % | n | % | ||
|
Menopausal Status (4211, 2554, 901) |
|||||||
| Pre-menopausal | 2649 | 62.9 | 1585 | 62.1 | 541 | 60.0 | 0.285b |
| Post-menopausal | 1562 | 37.1 | 969 | 37.9 | 360 | 40.0 | |
|
Age at Menopause (Years) (1562, 969, 360) ** |
|||||||
| ≤ 50 | 1017 | 65.1 | 631 | 65.1 | 239 | 66.4 | 0.665b |
| > 50 | 545 | 34.9 | 338 | 34.9 | 121 | 33.6 | |
|
Age at Menarche (Years) (150, 80, 50) |
|||||||
| 7~11 | 3 | 2.0 | 0 | 0.0 | 2 | 4.0 | |
| 12~13 | 37 | 24.7 | 22 | 27.5 | 11 | 22.0 | 0.200c |
| ≥ 14 | 110 | 73.3 | 58 | 72.5 | 37 | 74.0 | |
|
Age at First Delivery (Years) (2021, 1372, 357 ) |
|||||||
| < 20 | 33 | 1.6 | 15 | 1.1 | 11 | 3.1 | |
| 20~24 | 917 | 45.4 | 638 | 46.5 | 153 | 42.9 | 0.030b |
| 25~29 | 940 | 46.5 | 632 | 46.1 | 166 | 46.5 | |
| ≥ 30 | 131 | 6.5 | 87 | 6.3 | 27 | 7.6 | |
|
Number of Live Births (3947, 2428, 807) |
|||||||
| 0 | 99 | 2.5 | 44 | 1.8 | 17 | 2.1 | |
| 1 | 1889 | 47.9 | 1177 | 48.5 | 348 | 43.1 | |
| 2 | 1228 | 31.1 | 767 | 31.6 | 269 | 33.3 | 0.082b |
| 3 | 452 | 11.5 | 271 | 11.2 | 110 | 13.6 | |
| ≥ 4 | 279 | 7.1 | 169 | 7.0 | 63 | 7.8 | |
|
Breast Feeding History (2671, 1754, 492) |
|||||||
| Yes | 2414 | 90.4 | 1591 | 90.7 | 445 | 90.5 | 0.861b |
| No | 257 | 9.6 | 163 | 9.3 | 47 | 9.5 | |
|
O.C Consumption History (4211, 2554, 901) |
|||||||
| Never | 543 | 12.9 | 376 | 14.7 | 98 | 10.9 | |
| Used | 325 | 7.7 | 278 | 10.9 | 36 | 4.0 | < 0.001c |
| Now | 11 | 0.3 | 10 | 0.4 | 1 | 0.1 | |
| Unknown | 3332 | 79.1 | 1890 | 74.0 | 766 | 85.0 | |
a Student's t-test
b Chi-square test
c Fisher's exact test
** Median age of menopause has been used to create the two age-categories.
Table 4 illustrates the clinical and pathologic characteristics of patients. The average mass size by CBE was 31.3 mm (s.d. = 17.8 mm) and patients in ES were more likely to be examined of having masses less than 50 mm (P < 0.001) and had a much lower chance of having local invasion (P < 0.001). Patients in LS were more likely to have positive mammography results (P = 0.001) and positive ultrasound diagnosis (P = 0.015). Over the 10 years, invasive ductal carcinoma remained the dominant pathologic subtype (86.5%). Among the 3,534 patients that had estrogen receptor (ER) and progesterone receptor (PR) information, less than 10% (9.5%) were only ER positive and PR negative; 10.4% were positive with PR but negative with ER; about half (47.9%) were both ER and PR positive and 32.2% were negative with both. HER-2 information was available for 2,849 patients and the majority (74.2%) of them were HER-2 negative (Table 4). Among the 4,211 cases, the majority (60.6% (2,554/4,211)) had ES breast cancer, and less than a quarter (21.4% (901/4,211)) had LS disease. About 18% (756/4,211) of cases did not have staging information. The stage distribution differed between the less developed and more developed regions of China (P < 0.001). More stage I patients (19.9%) were presented in more developed regions than that (12.7%) in less developed regions and the reverse was seen for stage IV patients (Table 5).
Table 4.
Clinical and pathologic characteristics of breast cancer cases
| Variables by level | Total distribution | Clinical Stage I&II | Clinical Stage III&IV | ES vs.LS P-value |
|||
|---|---|---|---|---|---|---|---|
| (N = 4211) | (N = 2554) | (N = 901) | |||||
| n | % | n | % | n | % | ||
| Palpable Tumor Location by CBE(4211, 2554, 901) | |||||||
| Left | 2189 | 52.0 | 1327 | 52.0 | 477 | 52.9 | |
| Right | 1995 | 47.4 | 1213 | 47.5 | 419 | 46.5 | 0.868c |
| Non-palpable | 27 | 0.6 | 14 | 0.5 | 5 | 0.6 | |
|
Mass Size by CBE (3555, 2434, 825) |
|||||||
| Mean ± SD | 31.3 ± 17.8 | -- | 27.7 ± 12.8 | -- | 40.7 ± 23.4 | -- | < 0.001a |
| Range | 0~250 | -- | 0~150 | -- | 0~250 | -- | |
| < 50 mm | 3036 | 85.4 | 2247 | 92.3 | 559 | 67.8 | |
| ≥ 50 mm | 519 | 14.6 | 187* | 7.7 | 266 | 32.2 | < 0.001b |
|
Local Invasion (3663, 2428, 826) |
|||||||
| Yes | 183 | 5.0 | 45 | 1.9 | 106 | 12.8 | < 0.001b |
| No | 3480 | 95.0 | 2383 | 98.1 | 720 | 87.2 | |
| Mammography Diagnosis (1275, 877, 286)** | |||||||
| Positive | 1094 | 85.8 | 750 | 85.5 | 266 | 93.0 | 0.001b |
| Negative | 181 | 14.2 | 127 | 14.5 | 20 | 7.0 | |
| Ultrasound Diagnosis (2253, 1629, 409 )** | |||||||
| Positive | 2006 | 89.0 | 1461 | 89.7 | 383 | 93.6 | 0.015b |
| Negative | 247 | 11.0 | 168 | 10.3 | 26 | 6.4 | |
| Postoperative Pathological Diagnosis (4014, 2540, 877) | |||||||
| Carcinoma in Situ(CIS) | 143 | 3.6 | 77 | 3.0 | 5 | 0.6 | |
| Invasive Ductal Carcinoma |
3471 | 86.5 | 2203 | 86.7 | 801 | 91.3 | < 0.001c |
| Other Type Invasive Carcinoma |
385 | 9.6 | 252 | 9.9 | 69 | 7.9 | |
| Others | 15 | 0.3 | 8 | 0.3 | 2 | 0.2 | |
|
ER/PR Status (3534, 2316, 758) |
|||||||
| ER+&PR+ | 1691 | 47.9 | 1148 | 49.6 | 340 | 44.9 | |
| ER+&PR- | 337 | 9.5 | 204 | 8.8 | 84 | 11.1 | 0.070b |
| ER-&PR+ | 367 | 10.4 | 230 | 9.9 | 86 | 11.4 | |
| ER-&PR- | 1139 | 32.2 | 734 | 31.7 | 248 | 32.7 | |
|
HER-2 Status (2849, 1935, 582) |
|||||||
| HER-2 + | 736 | 25.8 | 504 | 26.0 | 154 | 26.5 | 0.842b |
| HER-2 - | 2113 | 74.2 | 1431 | 74.0 | 428 | 73.5 | |
a Student's t-test
b Chi-square test
c Fisher's exact test
* Among the 187 women with palpable lumps ≥ 50 mm by CBE, 101 were found to have smaller lumps based on the postoperative evaluation and were categorized as stage I or stage IIA (16 as stage I; 85 as stage IIA). The rest 86 were categorized as stage IIB.
** Negative: negative, benign, and possibly benign finding; Positive: malignant suspicious, malignant.
Table 5.
Stage distribution of breast cancer cases by region
| Clinical Stage |
Total | More Developed Regions** | Less Developed Regions*** | P* | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| North | South | East | Sub-total | Northeast | Central | North-West | South-West | Sub-total | |||||||||||||
| N | % | N | % | N | % | N | % | N | % | N | % | N | % | N | % | N | % | N | % | ||
| Stage I | 663 | 15.7 | 172 | 26.8 | 98 | 16.2 | 95 | 15.7 | 365 | 19.9 | 131 | 15.8 | 73 | 13.4 | 77 | 15.9 | 17 | 3.4 | 298 | 12.7 | |
| Stage II | 1891 | 44.9 | 280 | 43.7 | 243 | 40.2 | 239 | 39.4 | 762 | 41.6 | 323 | 38.8 | 400 | 73.3 | 170 | 35.2 | 236 | 47.3 | 1129 | 48.3 | |
| Stage III | 788 | 18.7 | 93 | 14.5 | 117 | 19.4 | 152 | 25.1 | 362 | 19.8 | 119 | 14.3 | 53 | 9.7 | 127 | 26.3 | 127 | 25.5 | 426 | 18.2 | < 0.001 |
| Stage IV | 113 | 2.7 | 2 | 0.3 | 20 | 3.3 | 5 | 0.8 | 27 | 1.5 | 4 | 0.5 | 3 | 0.6 | 56 | 11.6 | 23 | 4.6 | 86 | 3.7 | |
| Unknown | 756 | 18.0 | 94 | 14.7 | 126 | 20.9 | 115 | 19.0 | 335 | 18.3 | 255 | 30.7 | 17 | 3.1 | 53 | 11.0 | 96 | 19.2 | 421 | 18.0 | |
* Stage distribution in more developed regions vs. less developed regions
** More Developed Regions: North, South, and East
***Less Developed Regions: Northeast, Central, North-West, South-West.
Treatment Patterns
Among all breast cancer cases, the majority (96.9% (4,078/4,211)) had undergone surgery procedures and radical mastectomy was the predominant option (88.8% (3,740/4,211). A minority of women (5.5% (231/4,211)) received breast conservative surgery. Chemotherapy was the second most important treatment option (81.4% (3,428/4,211) for breast cancer patients in China. By comparison, radiotherapy (22.6% (952/4,211)) and endocrine therapy (38.0% (1,599/4,211)) were not as popular as surgery and chemotherapy (Table 6).
Table 6.
Treatment patterns of breast cancer cases
| Therapy | Total | |
|---|---|---|
| (N = 4211) | ||
| n | % | |
| Surgery | ||
| No | 107 | 2.5 |
| Radical Mastectomy | 3740 | 88.8 |
| Breast Conservative Surgery | 231 | 5.5 |
| Simple Mastectomy | 46 | 1.1 |
| Others | 61 | 1.5 |
| Unknown | 26 | 0.6 |
| Radiotherapy | ||
| No | 2723 | 64.7 |
| Yes | 952 | 22.6 |
| Unknown | 536 | 12.7 |
| Chemotherapy | ||
| No | 626 | 14.9 |
| Yes | 3428 | 81.4 |
| Unknown | 157 | 3.7 |
| Endocrine Therapy | ||
| No | 2092 | 49.7 |
| Yes | 1599 | 38.0 |
| Unknown | 520 | 12.4 |
Discussion
This was the first geographically representative epidemiologic study of breast cancer in China and included more than 4,000 patients over its course. This study, via its inclusion of a large number of sites across all seven traditional regions of China, facilitated a thorough assessment of breast cancer patient characteristics, treatment allocation, and allowing a unique analysis of possible regional variations in these aspects of breast epidemiology and management across the entire country. It also helps to determine levels of unmet medical need and identify regions of high risk for breast cancer within China.
All patients included in our study were ethnically Chinese. Their clinical characteristics were significantly different from those of the women in western countries. The mean age at diagnosis was 48.7 years, and this was similar to the findings from other regional studies within China [9-14]. It was also in agreement with reports from other Asian countries such as Singapore, India and also similar to Saudi Arabia, all of which were around the mid-40s. This was about a decade earlier than what is reported for Western Caucasian women [15-19]. The reasons for the distinctions remain obscure, but four hypotheses may explain. First, older Asians including Chinese women had been less exposed to estrogen related risk factors thus have been less susceptible to breast cancer than their younger counterparts. Second, younger women were more genetically predisposed to breast cancer. Third, younger women were more aware of breast cancer. They have broader access to medical care as there is no nationwide organized screening program in China as well as in the majority of the modernizing Asian countries. Fourth, mammography has been used among older women in the population based mammography screening in Western countries. This may partly account for why breast cancer clusters peak around 60-69 years in Western countries.
In this study, 60.6% of the patients had early stage breast cancer and 21.4%% had late stage disease. The incidence of early stage disease on presentation was lower than the data from China Tianjin (72.3%) [14], Taiwan (78.3%) [13] and Singapore (79%) [20], and much lower than the western countries such as the United States (85%) [21]. A study from Hong Kong which focused on a selected group of affluent Chinese patients reported an 88.9% of early stage cases [19]. While in the African countries, large proportions of patients presenting at late stage were reported, early stage cases accounted for only 9.27% to 42.7% [22-25]. The vast difference between regions and countries may due to the absence of a nationwide breast cancer screening program in developing countries including China, whereas such programs are fully or partly implemented in the majority of developed countries [26]. The findings of our study also suggest that women who were mental workers and had at least a university education were more likely to present breast cancer at early stage. This is in consistent with reports from a review article that socioeconomic disparities including low family income, poor educational attainment and impaired access to healthcare etc were related to the more advanced disease at diagnosis and poorer prognosis [27].
ER positive breast cancers are acknowledged to be related to a better prognosis than those that are ER negative [28] as they respond better to hormone therapy [29]. HER-2 positive breast cancers are more aggressive and require more expensive therapy [30]. In our study, 57.4% (2,028/3,534) were ER positive and 25.8% (736/2,849) were HER-2 positive. The ER status of Chinese breast cancer was documented previously and the positivity varied from 45.3% to 67% [31-35]. When compared with data from developed countries, the positivity from our study is significantly lower [36,37]. The prevalence of HER-2 has been documented to be 27.9% in a Chinese study [35] and 15% in one study from the United States [38]. It suggests that breast cancer in Chinese women may be more aggressive than those in the developed countries, but those differences may also be explained by the un-uniformed tests used, different cut-off value referred, and bias from the age distribution in various studies. Although our study sample is representative, the tests were done retrospectively and different methods and protocols were conducted. Further study using a representative sample and standard protocol to understand the status of ER/PR/HER-2 status in Chinese breast cancer is necessary and would make it more comparable.
Surgery was the most common treatment in Chinese female breast cancer patients followed by chemotherapy. Among all surgery procedures, radical mastectomy was widely perceived as the only curative treatment, which is consistent with a study from Hong Kong [39]. Options for radiotherapy and endocrine therapy were much less, which indicates that adjuvant therapy, especially radiotherapy and endocrine therapy are of great unmet needs. Further analysis and studies were necessary to understand the patterns of treatment based on detailed information of treatment indications such as tumor size, lymph node involvement, final margins, and ER status.
These findings will need to be considered in light of the study's strengths and weaknesses. The primary strengths of this study are (1) the large number of patients included and (2) the geographic representativeness of the included sites. The main potential study limitations are (1) selection bias may exist in the catchment of breast cancer patients in the selected hospitals as no less elite hospitals as comparison were selected from the same regions. (2) There is no comparison group to compare the risk factors of developing breast cancer and (3) data quality is dependent on the thoroughness of the clinician's documentation of medical history, treatment, and outcomes.
Conclusion
The Chinese breast cancer multi-center clinical epidemiologic study represents the first geographically representative study of breast cancer in China to understand patterns of breast cancer characteristics, therapy use and knowledge of continuing unmet needs for breast cancer by retrospectively reviewing the existed clinical data.
The younger age of breast cancer onset among Chinese women and more advanced tumor stages pose a great challenge for Chinese government on breast cancer control. The higher proportion of ER+/PR+ breast cancer patients is a great challenge for breast cancer management in China. The Government oriented campaign to raise awareness will need to be expanded and continued. The most updated clinical guideline will also need to be disseminated to doctors at all levels to benefit the patients, ultimately improving the prognosis in Chinese breast cancer patients.
List of abbreviations
CICAMS: Chinese Academy of Medical Sciences; CRF: Case Report Form; CBE: Clinical Breast Examination; MRI: Magnetic Resonance Imaging; ES: Early Stage; LS: Late Stage; ER: Estrogen Receptor; PR: Progestin Receptor; HER-2: Human Epidermal growth factor Receptor 2; BMI: Body Mass Index; O.C: Oral Contraceptives.
Competing interests
The authors declare that they have no competing interests.
Authors' contributions
JL helped to design, analyze, and interpret the data. She also drafted the initial manuscript.
BNZ helped to design the study and is the clinical PI of the study. JHF and YP helped with the data management and analysis. PZ, SLW and SZ helped design the CRF to collect the data. BZ, HJY, XMX, ZHT, HL, JYL, and JJH were the local PIs that helped with data collection. YLQ was the PI of this study and assisted in designing the study and performed critical revisions of the manuscript. All authors read and approved the final manuscript.
Pre-publication history
The pre-publication history for this paper can be accessed here:
Contributor Information
Jing Li, Email: leej@cicams.ac.cn.
Bao-Ning Zhang, Email: cbd8891@126.com.
Jin-Hu Fan, Email: fjhjjj@sohu.com.
Yi Pang, Email: pangyi_cc@163.com.
Pin Zhang, Email: zhang_pin@sina.com.
Shu-Lian Wang, Email: wsl20040118@yahoo.com.
Shan Zheng, Email: zhengshan1002@yahoo.com.cn.
Bin Zhang, Email: zhangbin@medmail.com.cn.
Hong-Jian Yang, Email: yhjzlyy@163.com.
Xiao-Ming Xie, Email: xxie1234@yahoo.com.
Zhong-Hua Tang, Email: tzh2020158@sina.com.
Hui Li, Email: zlyy_lh@163.com.
Jia-Yuan Li, Email: Lijiayuan73@163.com.
Jian-Jun He, Email: chinahjj@163.com.
You-Lin Qiao, Email: Qiaoy@cicams.ac.cn.
Acknowledgements
We thank the Cancer Institute of the Chinese Academy of Medical Sciences (CICAMS) with providing their expertise in the development of this study. We also thank the local investigators from Beijing, Liaoning (Shenyang), Hunan (Changsha), Guangdong (Guangzhou), Zhejiang (Hangzhou), Shannxi (Xian), and Sichuan (Chengdu) for data collection and assisting us with completing this project successfully. We would also like to thank Kenneth Ying-Kai Zhang from the University of California, San Diego for proof reading. The authors thank Pfizer for funding.
References
- Ferlay J, Shin HR, Bray F, Forman D, Mathers C, Parkin DM. GLOBOCAN 2008 v1.2, Cancer Incidence and Mortality Worldwide: IARC CancerBase No. 10. Lyon, France: International Agency for Research on Cancer. 2010.
- Jemal A, Center MM, DeSantis C, Ward EM. Global patterns of cancer incidence and mortality rates and trends. Cancer Epidemiol Biomarkers Prev. 2010;19:1893–1907. doi: 10.1158/1055-9965.EPI-10-0437. [DOI] [PubMed] [Google Scholar]
- Chen XY, Kong ZL. Book [Chinese Cancer Registry Annual Report 2009] City: Military Medical Science Press; 2010. [Chinese Cancer Registry Annual Report 2009] pp. 26–28. (Editor ed.^eds.). [Google Scholar]
- Scoggins CR, Vitola JV, Sandler MP, Atkinson JB, Frexes-Steed M. Occult breast carcinoma presenting as an axillary mass. Am Surg. 1999;65:1–5. [PubMed] [Google Scholar]
- WHO. Histological typing of breast tumors. 2. Geneva: WHO; 1981. [Google Scholar]
- Tavassoli FA, Devilee P. Pathology and genetics of tumours of the breast and female genital organs. Lyon: World Health Organization; 2003. [Google Scholar]
- Fleming ID, American Joint Committee on Cancer. AJCC cancer staging manual. 5. Philadelphia: Lippincott-Raven Philadelphia; 1997. [Google Scholar]
- Greene FL, American Joint Committee on Cancer. AJCC cancer staging manual. 6. New York: Springer Verlag; 2002. [Google Scholar]
- Luo JQ, Su HM, Meng X. [Anlysis of incidence rate of femal breast cancer patients in Wuzhou City from 1981 to 1996.] Guangxi Prev Med. 1999;5:142. [Google Scholar]
- Yang MT, Rong TH, Huang ZF, Zeng CG, Long H, Fu JH, Lin P, Wang X, Wang SY, Wang X. [Clinical Analysis of Resectable Breast Cancer: a Report of 6 263 Cases] Chinese Journal of Cancer. 2005. pp. 327–331. [PubMed]
- Li WL, Wu JM, Liu G, Zhong QS. [Clinical Analysis on Expression of Estrogen and Progesterone Receptors in Breast Cancer (A Report of 836 Cases)] The Journal of Medical Theory and Practice. 2006. pp. 1264–1266.
- Tu YH. [Clinical and Pathological Characteristics of Breast Cancer: A Report of 292 Cases.] Master. Guangxi Medical University. 2007.
- Kuo WH, Yen AM, Lee PH, Chen KM, Wang J, Chang KJ, Chen TH, Tsau HS. Cumulative survival in early-onset unilateral and bilateral breast cancer: an analysis of 1907 Taiwanese women. Br J Cancer. 2009;100:563–570. doi: 10.1038/sj.bjc.6604898. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lu WL, Li HX, Qian BY, Wang Y, Jansen L, Huang GW, Tang NJ, Sun Z, Chen KX, De Bock GH. The clinical characteristics and prognosis of Chinese early stage breast cancer patients: a retrospective study. Breast J. 2010;16:331–333. doi: 10.1111/j.1524-4741.2010.00903.x. [DOI] [PubMed] [Google Scholar]
- Parkin DM, Fernandez LM. Use of statistics to assess the global burden of breast cancer. Breast J. 2006;12(Suppl 1):S70–80. doi: 10.1111/j.1075-122X.2006.00205.x. [DOI] [PubMed] [Google Scholar]
- Elkum N, Dermime S, Ajarim D, Al-Zahrani A, Alsayed A, Tulbah A, Al Malik O, Alshabanah M, Ezzat A, Al-Tweigeri T. Being 40 or younger is an independent risk factor for relapse in operable breast cancer patients: the Saudi Arabia experience. BMC Cancer. 2007;7:222. doi: 10.1186/1471-2407-7-222. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lavelle K, Moran A, Howell A, Bundred N, Campbell M, Todd C. Older women with operable breast cancer are less likely to have surgery. Br J Surg. 2007;94:1209–1215. doi: 10.1002/bjs.5834. [DOI] [PubMed] [Google Scholar]
- Ries L, Melbert D, Krapcho M, Stinchcomb D, Howlader N, Horner M, Mariotto A, Miller B, Feuer E, Altekruse S. National Cancer Institute. Bethesda, MD; SEER Cancer Statistics Review, 1975-2005. Available at seer cancer gov/csr/1975_2005/, based on November 2007. [Google Scholar]
- Wei R, Lau SS, Cheung PS. Breast carcinoma in Chinese women: does age affect treatment choice and outcome? Asian J Surg. 2010;33:97–102. doi: 10.1016/S1015-9584(10)60017-6. [DOI] [PubMed] [Google Scholar]
- Lim SE, Back M, Quek E, Iau P, Putti T, Wong JE. Clinical observations from a breast cancer registry in Asian women. World J Surg. 2007;31:1387–1392. doi: 10.1007/s00268-007-9086-3. [DOI] [PubMed] [Google Scholar]
- Osteen RT, Karnell LH. The National Cancer Data Base report on breast cancer. Cancer. 1994;73:1994–2000. doi: 10.1002/1097-0142(19940401)73:7<1994::AID-CNCR2820730735>3.0.CO;2-O. [DOI] [PubMed] [Google Scholar]
- Gukas ID, Jennings BA, Mandong BM, Igun GO, Girling AC, Manasseh AN, Ugwu BT, Leinster SJ. Clinicopathological features and molecular markers of breast cancer in Jos, Nigeria. West Afr J Med. 2005;24:209–213. doi: 10.4314/wajm.v24i3.28220. [DOI] [PubMed] [Google Scholar]
- Sarre B, Ogougbemy M, Dotou C, Lopy J, Ndionne P, Frank K, Drave K, Diouf MB. [Epidemiological, therapeutic and prognostic aspects of breast cancer: about 473 cases collected in Hopital Principal de Dakar] Dakar Med. 2006;51:92–96. [PubMed] [Google Scholar]
- Ekortarl A, Ndom P, Sacks A. A study of patients who appear with far advanced cancer at Yaounde General Hospital, Cameroon, Africa. Psychooncology. 2007;16:255–257. doi: 10.1002/pon.1144. [DOI] [PubMed] [Google Scholar]
- Burson AM, Soliman AS, Ngoma TA, Mwaiselage J, Ogweyo P, Eissa MS, Dey S, Merajver SD. Clinical and epidemiologic profile of breast cancer in Tanzania. Breast Dis. 2010;31:33–41. doi: 10.3233/BD-2009-0296. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shapiro S, Coleman EA, Broeders M, Codd M, de Koning H, Fracheboud J, Moss S, Paci E, Stachenko S. Ballard-Barbash R: Breast cancer screening programmes in 22 countries: current policies, administration and guidelines. International Breast Cancer Screening Network (IBSN) and the European Network of Pilot Projects for Breast Cancer Screening. Int J Epidemiol. 1998;27:735–742. doi: 10.1093/ije/27.5.735. [DOI] [PubMed] [Google Scholar]
- Vona-Davis L, Rose DP. The influence of socioeconomic disparities on breast cancer tumor biology and prognosis: a review. J Womens Health (Larchmt) 2009;18:883–893. doi: 10.1089/jwh.2008.1127. [DOI] [PubMed] [Google Scholar]
- Grann VR, Troxel AB, Zojwalla NJ, Jacobson JS, Hershman D, Neugut AI. Hormone receptor status and survival in a population-based cohort of patients with breast carcinoma. Cancer. 2005;103:2241–2251. doi: 10.1002/cncr.21030. [DOI] [PubMed] [Google Scholar]
- Allred DC, Wu Y, Mao S, Nagtegaal ID, Lee S, Perou CM, Mohsin SK, O'Connell P, Tsimelzon A, Medina D. Ductal carcinoma in situ and the emergence of diversity during breast cancer evolution. Clin Cancer Res. 2008;14:370–378. doi: 10.1158/1078-0432.CCR-07-1127. [DOI] [PubMed] [Google Scholar]
- Burstein HJ, Elias AD, Rugo HS, Cobleigh MA, Wolff AC, Eisenberg PD, Lehman M, Adams BJ, Bello CL, DePrimo SE. et al. Phase II study of sunitinib malate, an oral multitargeted tyrosine kinase inhibitor, in patients with metastatic breast cancer previously treated with an anthracycline and a taxane. J Clin Oncol. 2008;26:1810–1816. doi: 10.1200/JCO.2007.14.5375. [DOI] [PubMed] [Google Scholar]
- Shi XY, Sheng M, Lu DP, Wang LJ. [Estrogen Receptor Determination in 537 Patients with Breast Cancer] Bulletin of Chinese Cancer. 2002. pp. 612–613.
- Gao JD. [Characterization of hormone receptor status in 5758 Chinese females with breast cancer] Chinese Journal of Oncology. 2009;31:4. [PubMed] [Google Scholar]
- Hu JY, Yin GW, Shen WD. [Relationship between mammographic feature and expression of ER, PR, C -erbB -2 in breast cancer] Journal of Modern Oncology. 2010;18:1311–1313. [Google Scholar]
- Qin HZ. [Relationship between the express of CerbB-2 and estrogen receptor, progesterone receptor, lymph node metastasis in breast cancer] Modern Medical Journal. 2009;37:3. [Google Scholar]
- Fu Z, Li D, Jiang W, Wang L, Zhang J, Xu F, Pang D. Association of BTLA gene polymorphisms with the risk of malignant breast cancer in Chinese women of Heilongjiang Province. Breast Cancer Res Treat. 2010;120:195–202. doi: 10.1007/s10549-009-0462-6. [DOI] [PubMed] [Google Scholar]
- Chu KC, Anderson WF, Fritz A, Ries LA, Brawley OW. Frequency distributions of breast cancer characteristics classified by estrogen receptor and progesterone receptor status for eight racial/ethnic groups. Cancer. 2001;92:37–45. doi: 10.1002/1097-0142(20010701)92:1<37::AID-CNCR1289>3.0.CO;2-F. [DOI] [PubMed] [Google Scholar]
- Cronin KA, Harlan LC, Dodd KW, Abrams JS, Ballard-Barbash R. Population-based estimate of the prevalence of HER-2 positive breast cancer tumors for early stage patients in the US. Cancer Invest. 2010;28:963–968. doi: 10.3109/07357907.2010.496759. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ariga R, Zarif A, Korasick J, Reddy V, Siziopikou K, Gattuso P. Correlation of her-2/neu gene amplification with other prognostic and predictive factors in female breast carcinoma. Breast J. 2005;11:278–280. doi: 10.1111/j.1075-122x.2005.21463.x. [DOI] [PubMed] [Google Scholar]
- Yau TK, Lau Y, Kong J, Yeung MW, Chan M, Sze WM, Cheung P, Lim BH, Lee A. Breast conservation treatment in Hong Kong-early results of 203 patients: retrospective study. Hong Kong Med J. 2002;8:322–328. [PubMed] [Google Scholar]