| Literature DB >> 26304928 |
Xiaoqing Jia1, Guangyu Liu1, Miao Mo2, Jingyi Cheng3, Zhenzhou Shen1, Zhimin Shao1.
Abstract
The prognosis for breast cancer occurs in young women is usually poor. The impact of different reproductive factors on disease characteristics is still largely unknown. We analyzed 261 patients aged ≤35 years old who were treated at the Cancer Hospital of Fudan University, Shanghai, China. The relationships between certain reproductive factors (age at menarche, parity, number of children, breastfeeding, history of abortion, age at first full-term pregnancy and oral contraceptive (OC) use) and disease characteristics were evaluated. Compared with patients who experienced fewer full-term pregnancies (<2 times), the patients with more full-term pregnancies (≥2 times) exhibited higher percentage of ER-positive tumors (61.5%) (P = 0.015), and patients whose age of menarche was ≥15 years exhibited a greater chance of PR-positive tumors (64.8%) (P = 0.036) compared with those whose age of menarche was <15 years old. Additionally, patients who had taken OCs were more likely to present with late-stage tumors (II stage or later) (87.5%) (P = 0.002) than patients who had never taken OCs. Our study provides evidence that women with more full-term pregnancies and later age at menarche are more possible to exhibit hormone receptor-positive tumors. Additionally, patients who have taken OCs are more likely to present with advanced disease.Entities:
Keywords: breast cancer; menopause; oral contraceptive; parity; reproductive factors
Mesh:
Substances:
Year: 2015 PMID: 26304928 PMCID: PMC4695207 DOI: 10.18632/oncotarget.4698
Source DB: PubMed Journal: Oncotarget ISSN: 1949-2553
Biological factors distribution in the evaluable patients
| Characteristic | No.of patients(%) |
|---|---|
| 32(13-35) | |
| 10(3.8) | |
| 81(31) | |
| 170(65.2) | |
| 14(7-18) | |
| 25(18-33) | |
| 11(0-99) | |
| 104(39.8) | |
| 50(19.2) | |
| 36(13.8) | |
| 11(4.2) | |
| 0(0) | |
| 1(0.4) | |
| 59(22.6) | |
| 21(8) | |
| 173(66.3) | |
| 25(9.6) | |
| 1(0.4) | |
| 41(15.7) | |
| 253(96.9) | |
| 8(3.1) | |
| 154(59) | |
| 79(30.3) | |
| 28(10.7) | |
| 0(0) | |
| 200(76.6) | |
| 61(23.4) | |
| 63(24.1) | |
| 170(65.1) | |
| 26(10) | |
| 2(0.8) | |
| 140(53.6) | |
| 121(46.4) | |
| 141(54) | |
| 120(46) | |
| 65(24.9) | |
| 196(75.1) |
Impact of full-term pregnancy on disease characteristics
| Number of full-term pregnancies No.of patients(%) | |||||
|---|---|---|---|---|---|
| 0 | 1 | 2 | 3 | ||
| 0.037 | |||||
| 2(33.3) | 4(66.7) | 0(0) | 0(0) | ||
| 9(16.1) | 45(80.4) | 2(3.5) | 0(0) | ||
| 10(6.3) | 124(78.5) | 23(14.6) | 1(0.6) | ||
| 0.583 | |||||
| 10(7.5) | 109(82) | 13(9.8) | 1(0.7) | ||
| 6(9.1) | 50(75.8) | 10(15.1) | 0(0) | ||
| 0.826 | |||||
| 0(0) | 0(0) | 0(0) | 0(0) | ||
| 17(10) | 135(79) | 18(10.5) | 1(0.5) | ||
| 4(8.2) | 38(77.6) | 7(14.2) | 0(0) | ||
| 0.222 | |||||
| 7(13.7) | 39(76.5) | 5(9.8) | 0(0) | ||
| 13(8.9) | 116(79.5) | 17(11.6) | 0(0) | ||
| 1(4.8) | 16(76.2) | 3(14.3) | 1(4.7) | ||
| 0(0) | 2(100) | 0(0) | 0(0) | ||
| 0.015 | |||||
| 17(14.5) | 83(70.9) | 16(13.7) | 1(0.9) | ||
| 4(3.9) | 90(87.4) | 9(8.7) | 0(0) | ||
| 0.207 | |||||
| 14(11.6) | 89(73.6) | 17(14) | 1(0.8) | ||
| 7(7.1) | 84(84.8) | 8(8.1) | 0(0) | ||
| 0.401 | |||||
| 5(8.5) | 47(79.7) | 6(10.2) | 1(1.6) | ||
| 16(9.9) | 126(78.3) | 19(11.8) | 0(0) | ||
Figure 1Hormone receptor (HR) expression levels in different breast cancer subgroups
A. ER expression in the different full-term pregnancy breast cancer subgroups; B. PR expression stratified by OC use.
Impact of abortion on disease characteristics
| Abortions No.of patients (%) | ||||||
|---|---|---|---|---|---|---|
| 0 | 1 | 2 | 3 | 5 | ||
| 0.9 | ||||||
| 3(50) | 2(33.3) | 1(17.7) | 0(0) | 0(0) | ||
| 28(58.3) | 12(25) | 5(10.4) | 3(6.3) | 0(0) | ||
| 73(49.3) | 36(24.3) | 30(20.3) | 8(5.4) | 1(0.67) | ||
| 0.513 | ||||||
| 58(47.9) | 32(26.4) | 24(19.8) | 6(5) | 1(0.9) | ||
| 40(60.6) | 14(21.2) | 9(13.6) | 3(4.6) | 0(0) | ||
| 0.953 | ||||||
| 0(0) | 0(0) | 0(0) | 0(0) | 0(0) | ||
| 80(51) | 38(24.2) | 29(18.5) | 9(5.7) | 1(0.6) | ||
| 24(53.3) | 12(26.7) | 7(15.6) | 2(4.4) | 0(0) | ||
| 0.922 | ||||||
| 24(52.2) | 10(21.7) | 11(23.9) | 1(2.2) | 0(0) | ||
| 68(50.7) | 36(26.9) | 20(14.9) | 9(6.7) | 1(0.8) | ||
| 11(55) | 4(20) | 4(20) | 1(5) | 0(0) | ||
| 1(50) | 0(0) | 1(50) | 0(0) | 0(0) | ||
| 0.777 | ||||||
| 55(51.9) | 28(26.4) | 17(16) | 5(4.7) | 1(1) | ||
| 49(51) | 22(22.9) | 19(19.8) | 6(6.3) | 0(0) | ||
| 0.566 | ||||||
| 57(52.8) | 24(22.2) | 22(20.4) | 5(4.6) | 0(0) | ||
| 47(50) | 26(27.7) | 14(14.9) | 6(6.4) | 1(1) | ||
| 0.484 | ||||||
| 26(53.1) | 12(24.5) | 8(16.3) | 2(4.1) | 1(2) | ||
| 78(51) | 38(24.8) | 28(18.3) | 9(5.9) | 0(0) | ||
Impact of menarcheal age on disease characteristics
| Menarcheal age (years) No.of patients(%) | ||||
|---|---|---|---|---|
| ≤12 | 13-14 | ≥15 | ||
| 0.531 | ||||
| 2(20) | 6(60) | 2(20) | ||
| 12(15.6) | 40(51.9) | 25(32.5) | ||
| 16(9.9) | 85(52.5) | 61(37.7) | ||
| 0.742 | ||||
| 20(13.4) | 77(51.7) | 52(34.9) | ||
| 8(10.8) | 42(56.8) | 24(32.4) | ||
| 0.818 | ||||
| 0(0) | 0(0) | 0(0) | ||
| 22(11.6) | 99(52.1) | 69(36.3) | ||
| 8(13.6) | 32(54.2) | 19(32.2) | ||
| 0.304 | ||||
| 4(6.8) | 37(62.7) | 18(30.5) | ||
| 23(14.1) | 84(51.5) | 56(34.4) | ||
| 3(12) | 9(36) | 13(52) | ||
| 0 | 1(50) | 1(50) | ||
| 0.281 | ||||
| 15(11.3) | 65(48.9) | 53(39.8) | ||
| 15(12.9) | 66(56.9) | 35(14.1) | ||
| 0.036 | ||||
| 15(11.2) | 62(46.3) | 57(42.5) | ||
| 15(13) | 69(60) | 31(27) | ||
| 0.071 | ||||
| 6(9.5) | 41(65.1) | 16(25.4) | ||
| 24(12.9) | 90(48.4) | 72(38.7) | ||
Impact of age at first full-term childbirth on disease characteristics
| Age at first full-term childbirth (years) No.of patients(%) | |||||
|---|---|---|---|---|---|
| ≤19 | 20-24 | 25-29 | 30-35 | ||
| 0.025 | |||||
| 0(0) | 3(75) | 1(25) | 0(0) | ||
| 3(8.3) | 8(22.2) | 25(69.4) | 0(0) | ||
| 1(0.8) | 43(33.9) | 74(58.3) | 9(7.1) | ||
| 0.51 | |||||
| 3(3) | 34(34) | 57(57) | 6(6) | ||
| 1(1.8) | 13(23.6) | 38(69.1) | 3(5.5) | ||
| 0.485 | |||||
| 0(0) | 0(0) | 0(0) | 0(0) | ||
| 4(3) | 40(30.3) | 80(60.6) | 8(6.1) | ||
| 0(0) | 14(40) | 20(57.1) | 1(2.9) | ||
| 0.845 | |||||
| 1(2.7) | 9(24.3) | 26(70.3) | 1(2.7) | ||
| 3(2.8) | 35(32.1) | 64(58.7) | 7(6.4) | ||
| 0(0) | 9(47.4) | 9(47.4) | 1(5.3) | ||
| 0(0) | 1(50) | 1(50) | 0(0) | ||
| 0.739 | |||||
| 1(1.2) | 25(30.9) | 50(61.7) | 5(6.2) | ||
| 3(3.5) | 29(33.7) | 50(61.7) | 4(4.7) | ||
| 0.433 | |||||
| 2(2.3) | 32(37.2) | 49(57) | 3(3.5) | ||
| 2(2.5) | 22(27.2) | 51(63) | 6(7.4) | ||
| 0.329 | |||||
| 1(2.6) | 11(28.9) | 26(68.4) | 0(0) | ||
| 3(2.3) | 43(33.3) | 74(57.4) | 9(7) | ||
Impact of oral contraceptive use on disease characteristics
| OC use No.of patients(%) | |||
|---|---|---|---|
| Never OC use | Past OC use | ||
| 0.422 | |||
| 9(90) | 1(10) | ||
| 79(97.5) | 2(2.5) | ||
| 165(97.1) | 5(2.9) | ||
| 0.266 | |||
| 148(96.1) | 6(3.9) | ||
| 78(98.7) | 1(1.3) | ||
| 0.912 | |||
| 0(0) | 0(0) | ||
| 194(97) | 6(3) | ||
| 59(96.7) | 2(3.3) | ||
| 0.002 | |||
| 62(98.4) | 1(1.6) | ||
| 165(97.1) | 5(2.9) | ||
| 25(96.2) | 1(3.8) | ||
| 1(50) | 1(50) | ||
| 0.051 | |||
| 133(95) | 7(5) | ||
| 120(99.2) | 1(0.2) | ||
| 0.054 | |||
| 134(95) | 7(5) | ||
| 119(99.2) | 1(0.2) | ||
| 0.995 | |||
| 63(96.9) | 2(3.1) | ||
| 190(96.9) | 6(3.1) | ||