Literature DB >> 32982414

Can Anti-Müllerian Hormone Be a Reliable Biomarker for Assessing Ovarian Function in Women Postchemotherapy?

Xiaolin Li1,2, Sixuan Liu1, Lisi Ma1, Xuan Chen1, Huaiyu Weng1, Run Huang1, Yang Yu2, Xiangyun Zong1.   

Abstract

PURPOSE: The predictive value of anti-Müllerian hormone (AMH) for ovarian dysfunction postchemotherapy is controversial. This study aimed to evaluate the value of serum AMH levels clinically and theoretically. PATIENTS ANIMALS AND METHODS: We detected the serum estradiol, follicular stimulating hormone (FSH), luteinizing hormone (LH), and AMH levels in 144 premenopausal women with breast cancer receiving cyclophosphamide-based chemotherapy. The hormone levels before and postchemotherapy were compared; the correlations among the hormones and amenorrhea and menstrual recovery were analyzed. In addition, the serum AMH levels were detected randomly in 177 normal healthy women and 36 normal female C57BL/6J mice of different ages; meanwhile, the status of ovarian follicles was also examined. Furthermore, 72 Balb/c nude mice with breast cancer were randomly assigned to three groups that received different doses of cyclophosphamide (CTX) (control, 100 mg/kg, and 200 mg/kg), and the alterations in serum AMH levels and ovarian follicles were recorded and analyzed.
RESULTS: Chemotherapy-induced amenorrhea was associated with prechemotherapy AMH levels, E2 levels, and FSH levels (P < 0.0001). The recovery of menstruation was associated with prechemotherapy AMH levels (P < 0.0001), but not with E2 and FSH levels (P > 0.05). In patients with breast cancer treated with chemotherapy, the serum AMH levels did not differ significantly between the pre- and post-chemotherapy periods in patients aged <35 years (P > 0.05), whereas a dramatic reduction was detected in patients aged >35 years (P < 0.0001). In healthy women, the serum AMH levels declined sharply after 35 years of age (P < 0.0001) and remained relatively stable at a younger age. Similar results were obtained in experiments using normal mice. The cancer-bearing mice exposed to 200 mg/kg CTX exhibited a significant decline in AMH levels and a remarkable decrease in the number of primordial and growing follicles (P < 0.0001).
CONCLUSION: Our results indicate that AMH is an efficient marker for predicting postchemotherapy ovarian function exclusively in premenopausal female patients with breast cancer aged >35 years.
© 2020 Li et al.

Entities:  

Keywords:  anti-Müllerian hormone; breast cancer; cyclophosphamide; ovarian function

Year:  2020        PMID: 32982414      PMCID: PMC7494398          DOI: 10.2147/CMAR.S269249

Source DB:  PubMed          Journal:  Cancer Manag Res        ISSN: 1179-1322            Impact factor:   3.989


Introduction

Anti-Müllerian hormone (AMH), which is a dimeric glycoprotein of 140 kDa belonging to the transforming growth factor-β superfamily, is composed of two identical subunits and is also called Müllerian-inhibiting substance (MIS).1,2 Moreover, AMH is secreted by the ovarian granulosa cells of females from 36 weeks of gestation until menopause.3 Its expression begins in the primary follicles and peaks in the secondary and small antral follicles but is not detected in primordial follicles and atretic follicles.4,5 It has an inhibitory role in the recruitment and development of the primordial follicles into growing follicles.6,7 Previous investigations have validated the serum AMH level as a quantitative marker of ovarian reserve and ovarian dysfunction in in vitro fertilization (IVF) and polycystic ovary syndrome.8–10 However, the role of AMH in predicting the recovery of ovarian function in postchemotherapy patients remains controversial. Chemotherapeutic regimens including gonadotoxic molecules are usually used to treat younger patients with advanced malignancies,11–13 whereas cyclophosphamide (CTX) is one of the most used cell-cycle nonspecific cytotoxic drugs and frequently causes ovarian function damage.14 Ovarian toxicity due to CTX-based chemotherapy usually manifests as amenorrhea or even premature ovarian failure (POF).15 Many serum markers, such as follicular stimulating hormone (FSH), luteinizing hormone (LH), inhibin B, and AMH, have been employed to evaluate the ovarian reserve and the ability to conceive.16–19 As AMH is relatively stable and is not affected by the menstrual cycle,20 many studies have adopted AMH as a prominent biomarker to assess ovarian function during the postchemotherapy follow-up period.21–24 However, the results of those studies were contradictory, and no consensus has been reached to date regarding the predictive value of AMH for ovarian function after chemotherapeutic damage.21,22,25,26 Considering the controversial issues mentioned above, this study was performed to examine whether AMH is an effective biomarker for predicting ovarian function in premenopausal female patients with breast cancer receiving chemotherapy and to identify the patients in whom the serum AMH level is the most valuable predictor of ovarian function.

Patients, Animals, and Methods

Study Population

From January 2016 to December 2017, we randomly recruited 144 premenopausal women with breast cancer (age, 27–49 years; median, 43 years) who required postoperative chemotherapy at our breast center. The regimens used were TEC (docetaxel 75 mg/m2 + epirubicin 60 mg/m2 + CTX 500 mg/m2, D1) or FEC (5-fluorouracil 500 mg/m2 + epirubicin 75 mg/m2 + CTX 500 mg/m2, D1) every 3 weeks for a total of six cycles. Patients with previous chemotherapy for malignancy or other diseases or with comorbidities related to fertility and patients with breast cancer treated without chemotherapy were excluded. The serum E2, FSH, LH, and AMH levels were detected twice in the patients with breast cancer: before chemotherapy and at 6 months after the last injection of chemotherapy. In this study, amenorrhea was defined as the disappearance of the menstrual cycle during chemotherapy or postchemotherapy for 6 months; if the menstruation appeared periodically again within 1 year postchemotherapy, the state of the women was defined as “recovery of menstruation”.27 The changes in menstruation postchemotherapy were followed-up. Concomitantly, 177 normal healthy women (age, 17–75 years; median, 44 years) without a history of gynecological disease or any cancer were recruited into the study, and the serum AMH level of individuals was detected randomly. Written informed consent was obtained from all participants, and ethical approval was granted by the Ethics Committee of Shanghai Jiao Tong University Affiliated Sixth People’s Hospital.

Animals

This project was approved by the Animal Ethics and Welfare Committee of Shanghai Jiao Tong University Affiliated Sixth People’s Hospital and performed in accordance with the Animal Research: Reporting of in vivo Experiments (ARRIVE) guidelines. Blood was collected from the heart of 36 young female wild-type C57BL/6J mice aged 1, 4, 6, 8, 12, and 16 months (six mice per age group) at the time of euthanasia, and their ovaries were removed for further tests. In addition, 72 young female inbred Balb/c nude mice (obtained from Shanghai SLAC Laboratory Animal Co., Shanghai, China) aged 6 weeks and weighing 15–20 g were randomly divided into three groups. MCF7 cells (1 × 107) were injected subcutaneously into all mice in each group. We observed and recorded tumor growth every 2 days. At 8 weeks of age, mice in group 1 (n = 24), group 2 (n = 24), and group 3 (n = 24) were treated with a single intraperitoneal injection of 0.1 mL of saline, 100 mg/kg of CTX, and 200 mg/kg of CTX, respectively. The dosages of CTX were based on a previous study that demonstrated a significant dose-dependent ovarian toxicity without sterilization.16,28 Six mice selected stochastically from each group underwent heart blood collection at the time of euthanasia (anesthetization and euthanasia by terminal cardiac puncture) and ovary excision before chemotherapy. Moreover, 1, 3, and 5 weeks postchemotherapy, six mice selected stochastically from each group underwent blood collection before euthanasia and ovary excision at each time point (Figure 1). Ovaries were fixed in formalin, embedded in paraffin, and stained with hematoxylin and eosin (H&E), while sera were isolated from blood samples, for hormonal measurements.
Figure 1

Flowchart of the experiments performed using cancer-bearing mice. Seventy-two Balb/c nude mice aged 6 weeks and weighing 15–20 g were randomly divided into three groups. MCF7 cells (1 × 107) were injected subcutaneously into each mouse in all groups. At 8 weeks of age, mice in group 1 (n = 24), group 2 (n = 24), and group 3 (n = 24) were treated with a single intraperitoneal injection of 0.1 mL of saline, 100 mg/kg of CTX, and 200 mg/kg of CTX, respectively. Six mice that were selected stochastically from each group underwent heart blood collection at the time of euthanasia and ovary excision before chemotherapy. Subsequently, at 9, 11, and 13 weeks of age, six mice that were selected stochastically from each group underwent blood collection before euthanasia and ovary excision at each time point.

Flowchart of the experiments performed using cancer-bearing mice. Seventy-two Balb/c nude mice aged 6 weeks and weighing 15–20 g were randomly divided into three groups. MCF7 cells (1 × 107) were injected subcutaneously into each mouse in all groups. At 8 weeks of age, mice in group 1 (n = 24), group 2 (n = 24), and group 3 (n = 24) were treated with a single intraperitoneal injection of 0.1 mL of saline, 100 mg/kg of CTX, and 200 mg/kg of CTX, respectively. Six mice that were selected stochastically from each group underwent heart blood collection at the time of euthanasia and ovary excision before chemotherapy. Subsequently, at 9, 11, and 13 weeks of age, six mice that were selected stochastically from each group underwent blood collection before euthanasia and ovary excision at each time point.

Serum E2 and FSH Assay

Serum E2 and FSH in all 144 patients with breast cancer were tested using an ADVIA Centaur XP Immunoassay System (SIEMENS), respectively.

Serum AMH Assay

Human and mouse serum AMH levels were measured using the Human AMH ELISA kit (Cusabio Biotech, CATALOG #:11351) and the Mouse AMH ELISA kit (XLPM0168), respectively. The assays were performed according to the manufacturer’s protocol, and the concentrations of AMH were determined from the standard curve. All serum samples were assayed in duplicate.

Follicle Counting

We counted the follicles as described previously.29 Briefly, the total number of follicles in each ovary was estimated by counting the number of follicles in each of five sections of H&E-stained whole ovaries and applying a 5-fold correction factor. Then, 5 µm-thick sections were serially cut, and the follicles were counted every fifth section. Each follicle goes through five stages: the primordial, primary, secondary, antral, and corpus luteum stages. Only follicles with an oocyte nucleus were counted. Primary follicles, secondary follicles, and antral follicles were collectively referred to as growing follicles.

Statistical Analysis

The data were expressed as the mean ± standard error of the mean. The statistical analysis was performed using the GraphPad Prism 7 and SAS 8.02 software, and differences among the chemotherapy groups and the control group were determined using a one-way analysis of variance, followed by a multiple comparison test. Correlations between menstruation status and hormone levels were assessed using a logistic regression analysis. Statistical significance was set at P < 0.05.

Results

Patient Characteristics

The clinicopathological characteristics of patients with breast cancer are displayed in Table 1. Most of the patients were diagnosed at an age over 35 years (86.1%) and were primarily diagnosed with a T1 (39.6%) or T2 (44.4%) tumor. Histological diagnoses comprised invasive duct carcinomas (89.6%), lobular carcinomas (4.9%), and others (5.5%). In this cohort, the molecular subtype in 67 (46.5%), 41 (28.5%), 12 (8.3%), and 24 (16.7%) patients was HR+/HER2–, HR+/HER2+, HR–/HER2+, and TNBC, respectively. A total of 12 (8.3%), 92 (63.9%), and 40 (27.8%) women received total mastectomy, modified radical mastectomy, and breast-conserving surgery, respectively.
Table 1

Clinicopathological Characteristics of the Breast Cancer Patients

CharacteristicsNumber of Patients (N=144)
Age (years)
 <3520(13.9%)
 ≥35124(86.1%)
T stage
 157(39.6%)
 264(44.4%)
 319(13.2%)
 44(2.8%)
Axillary lymph node
 Negative94(65.3%)
 Positive50(34.7%)
Histology
 Invasive ductal carcinoma129(89.6%)
 Invasive lobular carcinoma7(4.9%)
 Others8(5.5%)
Grade
 I II III undifferentiated35(24.3%)54(37.5%)40(27.8%)15(10.4%)
Molecular subtype
 HR+/HER2- HR+/HER2+67(46.5%)41(28.5%)
 HR-/HER2+12(8.3%)
 TNBC24(16.7%)
Operation
 Total mastectomy12(8.3%)
 Modified radical mastectomy92(63.9%)
 Breast conserving surgery40(27.8%)
Clinicopathological Characteristics of the Breast Cancer Patients

Menstruation Status and Productive Hormone Levels in Patients with Breast Cancer Who Received Chemotherapy

To illustrate the relationship between menstruation status and hormones in these patients, we analyzed the data using logistic regression. As shown in Tables 2 and 3, chemotherapy-induced amenorrhea was significantly correlated with the prechemotherapy levels of AMH, E2, and FSH and with the postchemotherapy levels of AMH and E2. The recovery of menstruation was significantly correlated with the prechemotherapy AMH level, but not with that of E2 or FSH. This result indicates that, although amenorrhea may be predicted based on the prechemotherapy levels of AMH, E2, and FSH, menstruation recovery can only be predicted through the prechemotherapy AMH level.
Table 2

Menstruation Status in Breast Cancer Patients with Chemotherapy

Total<35y≥35
Amenorrhea112/144(77.8%)8/20(40.0%)104/124(83.9%)
Menstruation recovery28/112(25.0%)6/8(75.0%)22/104(21.2)
Table 3

The Relationship Between Menstruation and Reproductive Hormone (Logistic Regression Analysis)

AmenorrheaMenstruation Return
OR (95%)P valueOR (95%)P value
AMH
 Pre-chemo0.31(0.157–0.612)<0.0010.224(0.079–0.631)<0.005
 Post-chemo0.319(0.167–0.611)<0.0010.161(0.053–0.484)<0.001
Oestradiol
 Pre-chemo0.983(0.873–0.994)0.0021.003(0.991–1.015)0.637
 Post-chemo0.980(0.969–0.991)0.0010.985(0.973–0.988)0.023
FSH
 Pre-chemo1.022(1.004–1.041)0.0161.027(0.959–1.101)0.444
 Post-chemo1.002(0.963–1.943)0.9131.041(1.016–1.068)0.002
LH
 Pre-chemo0.981(0.918–1.048)0.5620.983(0.901–1.072)0.692
 Post-chemo1.011(0.972–1.052)0.5780.981(0.947–1.015)0.266
Menstruation Status in Breast Cancer Patients with Chemotherapy The Relationship Between Menstruation and Reproductive Hormone (Logistic Regression Analysis) Moreover, in patients with breast cancer treated with chemotherapy, the serum AMH and E2 levels did not differ significantly between the pre- and post-chemotherapy periods in patients aged <35 years (P > 0.05), while a dramatic decrease in the levels of these hormones was detected postchemotherapy in patients >35 years (P < 0.0001) (Table 4). These findings suggest that AMH levels are more effective in assessing chemotherapy-induced ovarian injury in premenopausal women older than 35 years.
Table 4

Reproductive Hormone Levels in Breast Cancer Patients Before and After Chemotherapy (Wilcoxon Signed Ranks Test)

All<35≥35
AMH (ng/mL)1.13 (0.01, 5.32)0.97 (0.01, 4.02)
 Pre-chemo Post-chemo1.22 (0.01, 8.68)1.08 (0.01, 8.52)3.29 (0.81, 8.68)3.24 (0.06, 8.52)
P-value<0.0010.897<0.0001
Oestradiol (pg/mL)
 Pre-chemo122.43 (18, 335)173.2 (18, 335)119.44 (27, 242)
 Post-chemo63.88 (5, 287)134.7 (15, 287)64.56 (5, 234)
P-value<0.00010.361<0.0001
FSH (mIU/mL)
 Pre-chemo Post-chemo10.51 (1.32, 83.22)51.22 (3.45, 121.06)8.30 (1.55, 38.82)30.82 (3.56, 119.83)10.54 (1.32, 83.22)51.82 (3.45, 121.06)
P-value<0.00010.014<0.0001
LH (mIU/mL)
 Pre-chemo4.73 (0.44, 60.99)8.46 (0.69, 39.81)4.58 (0.44, 60.99)
 Post-chemo37.16 (0.26, 110.78)37.24 (0.26, 110.77)37.72 (0.91, 68.15)
P-value<0.0001<0.0001<0.0001

Note: The data was described by mean, minimum, maximum.

Reproductive Hormone Levels in Breast Cancer Patients Before and After Chemotherapy (Wilcoxon Signed Ranks Test) Note: The data was described by mean, minimum, maximum.

Trends of the Serum AMH Levels in Healthy Women and Female Mice, and Correlation Between Follicle Number and AMH Levels in Mice

Next, we investigated the serum AMH levels in normal women of different ages. Table 5 displays the age distribution of all healthy women, as well as the median serum AMH levels according to age group. The serum AMH levels decreased sharply in women over 35 years of age (P < 0.0001, Figure 2A) and were relatively stable prior to that age.
Table 5

Serum AMH Level in Normal Woman (n=177)

AMH Level (ng/mL)
Age Group (yr)NMeanMaxMin
<2663.618.041.56
26–34203.297.241.19
35–39261.585.320.31
40–44440.891.660.01
45–49450.361.180.01
50–54150.050.470.01
55+210.010.010.01
Figure 2

Trends of AMH levels in healthy women and female mice and correlation between follicle number and AMH level in mice. (A) The serum AMH levels were obviously decreased in women older than 35 years. (B) The serum AMH levels remained stable in 4–8-month-old mice, and were decreased after 8 months of age. (C) The number of primordial follicles decreased with increasing age. (D) The number of growing follicles was significantly decreased in mice older than 8 months. (E) The correlation between AMH levels and the number of growing follicles was strongly significant (r = 0.887, P < 0.0001, Pearson’s test). (F) H&E-stained ovaries from mice of different ages (B–D, each bar represents a minimum of six mice, ANOVA test).

Serum AMH Level in Normal Woman (n=177) Trends of AMH levels in healthy women and female mice and correlation between follicle number and AMH level in mice. (A) The serum AMH levels were obviously decreased in women older than 35 years. (B) The serum AMH levels remained stable in 4–8-month-old mice, and were decreased after 8 months of age. (C) The number of primordial follicles decreased with increasing age. (D) The number of growing follicles was significantly decreased in mice older than 8 months. (E) The correlation between AMH levels and the number of growing follicles was strongly significant (r = 0.887, P < 0.0001, Pearson’s test). (F) H&E-stained ovaries from mice of different ages (B–D, each bar represents a minimum of six mice, ANOVA test). Subsequently, we further determined the serum AMH levels in C57BL/6J wild-type female mice of various ages. The serum AMH levels were increased in the younger mice and decreased significantly with increasing age (Figure 2B). We found three phases representing the changes in AMH levels. In the first phase, before 4 months of age, the serum AMH levels were obviously increased (r = 0.97, P < 0.0001). In the second phase, mice aged 4–8 months exhibited relatively stable AMH levels (r = 0.97; 4 vs 6 months of age, P = 0.28; 4 vs 8 months of age, P = 0.98). A significant decline in AMH levels was observed in mice older than 8 months (r = 0.97, P < 0.0001), an age at which mice had an irregular cycle and entered anestrus. To confirm the relationship between AMH levels and ovarian reserve, the follicles of each mouse were counted. The results of this experiment revealed that the number of primordial follicles decreased with increasing age (r = 0.99, P < 0.0001; Figure 2C). Although the number of growing follicles increased before 6 months of age (r = 0.91, P < 0.0001; Figure 2D), it remained stable from 6 to 8 months of age (r = 0.91; 6 vs 8 months, P = 0.21) and decreased significantly after 8 months of age (r = 0.91, P < 0.0001). The histological appearance of the follicles is shown in Figure 2F. There was a strong correlation between the serum AMH levels and the number of growing follicles (r = 0.887, P < 0.0001; Table 6 and Figure 2E).
Table 6

The Correlation Between AMH Levels and Growing Follicles by Age Group

Age in Months14681216
AMH level (ng/mL)107.8±11.6186.7±7.7195.4±7.1184.4±10.8129.9±6.171.2±5.4
Growing follicles207.8±16.3341.0±14.7380.5±24.7354.5±18.8280.5±23.5217.5±26.6
Pearson’s correlationr=0.887, P<0.0001
The Correlation Between AMH Levels and Growing Follicles by Age Group

Effect of Cyclophosphamide on Serum AMH Levels and Number of Follicles in Balb/c Nude Mice

We found no significant difference in tumor size among the three groups before chemotherapy (Control vs CTX100 vs CTX200, P > 0.05). The growth of tumors in the CTX 100 mg/kg group was similar to that observed in the control group, whereas tumor growth in the CTX 200 mg/kg group was slowed down more effectively (Control vs CTX200, P < 0.0001). The trends of serum AMH levels and number of primordial follicles and growing follicles of Balb/c nude mice with breast cancer aged 8 weeks (prechemotherapy), 9 weeks (1 week after CTX or saline administration), 11 weeks (3 weeks after CTX or saline administration), and 13 weeks (5 weeks after CTX or saline administration) are shown in Figure 3A–C. The relationship between serum AMH levels and number of follicles in the control and CTX-treated groups is shown in Table 7. No significant differences in serum AMH levels were observed in the control group among mice aged 8–13 weeks, as well as among mice aged 8 weeks (prechemotherapy) in each group. In the 200 mg/kg CTX group, the serum AMH levels decreased significantly over time (P < 0.0001). Interestingly, in the 100 mg/kg CTX group, the serum AMH levels were increased slightly at 9 weeks of age, but decreased sharply at 11 weeks, followed by an eventual reincrease at 13 weeks of age. Moreover, the number of primordial follicles was consistently decreased over time in each group (P < 0.0001), whereas the downtrend was dramatic in the 200 mg/kg CTX group. The number of growing follicles always correlated with the changes in the serum levels of AMH. Changes in the number of growing follicles were identified using H&E sections (Figure 3D).
Figure 3

Serum AMH levels and number of ovarian follicles in Balb/c nude mice. (A) The serum levels of AMH remained stable in the control group, and were significantly decreased in the CTX 200 mg/kg group (P < 0.0001). (B) The number of primordial follicles was not changed obviously in the control group (P > 0.05) and the 100 mg/kg CTX group at an early time point, while their decrease was apparent in the CTX 200 mg/kg group (P < 0.0001). (C) The number of growing follicles remained stable in the control group and 100 mg/kg CTX group (P > 0.05). In contrast, it was significantly decreased in the 200 mg/kg CTX group at 5 weeks postchemotherapy (P < 0.0001). (D) H&E staining of representative sections from all mice in the different treatment groups A–C each bar represents a minimum of six mice, ANOVA test).

Table 7

The Comparison of AMH Levels and Follicle Numbers in Control and CTX-Treated Groups (ANOVA Test)

ComparisonTime PointP value
G1 vs G2G1 vs G3
AMHPDFGFAMHPDFGF
Pre-CTXns0.03nsnsnsns
1 week after CTX0.037ns<0.001<0.00010.001ns
3 week after CTX<0.001nsns<0.0001<0.0001<0.0001
5 week after CTXns0.028ns<0.0001<0.0001<0.0001

Abbreviations: G1, control group; G2, CTX100 group; G3, CTX200 group; PDF, primordial follicles; GF, growing follicles; ns, not significant.

The Comparison of AMH Levels and Follicle Numbers in Control and CTX-Treated Groups (ANOVA Test) Abbreviations: G1, control group; G2, CTX100 group; G3, CTX200 group; PDF, primordial follicles; GF, growing follicles; ns, not significant. Serum AMH levels and number of ovarian follicles in Balb/c nude mice. (A) The serum levels of AMH remained stable in the control group, and were significantly decreased in the CTX 200 mg/kg group (P < 0.0001). (B) The number of primordial follicles was not changed obviously in the control group (P > 0.05) and the 100 mg/kg CTX group at an early time point, while their decrease was apparent in the CTX 200 mg/kg group (P < 0.0001). (C) The number of growing follicles remained stable in the control group and 100 mg/kg CTX group (P > 0.05). In contrast, it was significantly decreased in the 200 mg/kg CTX group at 5 weeks postchemotherapy (P < 0.0001). (D) H&E staining of representative sections from all mice in the different treatment groups A–C each bar represents a minimum of six mice, ANOVA test).

Discussion

The extent of chemotherapy-induced ovarian damage is related to the patient’s age, chemotherapeutic agent, drug regimen, and drug dose.30 Alkylating agents are the most gonadotoxic of the chemotherapeutic drugs, with toxicity decreasing in the order of platinum analogs, taxanes, plant alkaloids, anthracyclines, and antimetabolites, which are generally considered to be nongonadotoxic.31 Primordial follicles are more sensitive to cell-cycle-nonspecific agents, such as alkylating agents and topoisomerase inhibitors, while antimetabolites mainly affect the developing follicles, without altering the dormant follicle pool.30 In both human and mouse species, the decline in fertility is closely related to the reduction in the primordial follicle pool. Furthermore, cytotoxic drugs, particularly CTX, will cause the destruction of various follicles, particularly primordial follicles.32–34 The injury caused by CTX will eventually lead to ovarian dysfunction. It was reported that CTX injures the follicles in a direct way via DNA alkylation and subsequent disruption of normal cellular processes, and depletes the primordial follicles via the destruction of oocytes and granulosa cells.15,35 In the absence of AMH, ovarian follicle depletion was accelerated because of increased primordial follicle recruitment into growing follicles.25,36 Although it has been reported that CTX-induced acute ovarian follicular destruction can not be predicted by serum AMH levels,25 according to our study, the occurrence of chemotherapy-induced amenorrhea was negatively correlated with the prechemotherapy levels of AMH and E2, and positively correlated with the prechemotherapy level of FSH level. In addition, the recovery of menstruation 1 year postchemotherapy was positively correlated with the pre- and post-chemotherapy levels of AMH, although it was not correlated with the prechemotherapy levels of E2 and FSH. These results imply that patients with higher AMH levels are less likely to have amenorrhea and more likely to return to normal menstruation, even postchemotherapy, whereas patients with lower AMH levels are more likely to have amenorrhea and less likely to recover menstruation after amenorrhea.24 Although the prechemotherapy E2 and FSH levels were correlated with amenorrhea, we did not find a correlation between them and menstrual recovery postchemotherapy, which was in line with our hypothesis; ie, that the levels of E2 and FSH fluctuate greatly along the physiological cycle, while the levels of AMH are relatively stable4. Further stratified analysis yielded interesting findings: in our clinical study, there were no significant changes in AMH levels in young patients who underwent chemotherapy, whereas AMH levels were dramatically decreased in patients over 35 years who received chemotherapy.37,38 Thus, in younger patients, a sufficient primordial follicle reserve and strong compensation ability resulted in stable AMH levels. Therefore, the serum AMH level as a biomarker for predicting ovarian function seems to be more accurate in women receiving chemotherapy older than 35 years compared with younger women (<35 years). No consensus has been reached regarding whether AMH can be used as a predictor of ovarian function in women undergoing chemotherapy, especially in younger patients.37–39 Although studies have shown that AMH is of little value in predicting ovarian function in underage patients receiving chemotherapy, no reasonable explanation for this observation has been put forward.25,26,37,39 In our study of healthy women, the serum AMH levels exhibited a persistent decreasing trend with age in women over 35 years of age; however, it remained relatively stable in women younger than 35 years of age. Therefore, AMH may not be an accurate and suitable biomarker of ovarian reserve in younger women.40,41 We obtained a similar result in the mouse study, in which the serum AMH levels decreased with age in mice, after increasing over the first 6 months. The subsequent study revealed that the number of growing follicles was closely correlated with the number of primordial follicles and serum AMH levels. In mice older than 8 months, both the serum AMH level and the number of growing follicles decreased steadily, which is in accordance with the opinion of Scheffer et al.41 Moreover, in the mouse toxicity experiment, the number of primordial follicles was consistently decreased with time in each group (P < 0.0001), whereas the downtrend was dramatic in the 200 mg/kg CTX group. The number of growing follicles was always in accordance with the changes in serum AMH levels. The study reported by Luan et al found no significant increase in the number of mouse primary or secondary follicles; however, there was a significant increase in the ratio of growing follicles to dormant follicles after several cycles of CTX treatment.42 This may be attributed to the loss of dormant follicles, while the number of growing follicles remains the same. Correspondingly, a decrease in AMH serum levels was observed within 3 days after CTX administration, but these values returned to levels similar to those of vehicle-treated mice at 7 days posttreatment.42 These results suggest that, in immature female mice and women, AMH levels increase because of the increasing number of growing follicles. Subsequently, the number of growing follicles remains constant during the early reproductive period in females, accompanied by constant AMH levels. However, with increasing age, the serum AMH levels gradually decrease, which is accompanied by the decrease in the number of growing follicles in females. AMH regulates the rate of primordial follicles recruited for further growth, and the recruitment of primordial follicles is inhibited by the presence of AMH in mature ovaries.4,7,36 In juvenile females because the follicles are mostly primordial follicles, AMH could not accurately evaluate the ovarian functional impairment. However, in young adults, even if the growing follicles were largely killed by the chemotherapeutic drugs, the remaining growing follicles and the timely replenishment of the primordial follicular pool maintained the stability of AMH; thus, the serum AMH level did not accurately reflect the degree of damage of ovarian function. Conversely, AMH can accurately reflect the injury of ovarian function in middle-aged and elderly women because of their limited ovarian reserve.40,43

Conclusion

According to our research, AMH is an effective biomarker for predicting the ovarian function in premenopausal female patients with breast cancer receiving chemotherapy, albeit exclusively in those older than 35 years. AMH as a predictor of ovarian function and an ovarian protectant is worthy of further study.18,29 Therefore, AMH may be used not only as a predictive and evaluating indicator of ovarian function in premenopausal female with multiple tumors, but also as a potential therapeutic target.
  43 in total

1.  Anti-Müllerian hormone follow-up in young women treated by chemotherapy for lymphoma: preliminary results.

Authors:  Christine Decanter; Franck Morschhauser; Pascal Pigny; Catherine Lefebvre; Cécile Gallo; Didier Dewailly
Journal:  Reprod Biomed Online       Date:  2009-12-03       Impact factor: 3.828

2.  AMH as the primary marker for fertility.

Authors:  Didier Dewailly; Joop Laven
Journal:  Eur J Endocrinol       Date:  2019-12       Impact factor: 6.664

Review 3.  Transduction pathway of anti-Müllerian hormone, a sex-specific member of the TGF-beta family.

Authors:  Nathalie Josso; Nathalie di Clemente
Journal:  Trends Endocrinol Metab       Date:  2003-03       Impact factor: 12.015

Review 4.  Ovarian reserve testing: a user's guide.

Authors:  Reshef Tal; David B Seifer
Journal:  Am J Obstet Gynecol       Date:  2017-02-21       Impact factor: 8.661

5.  Müllerian-inhibiting substance function during mammalian sexual development.

Authors:  R R Behringer; M J Finegold; R L Cate
Journal:  Cell       Date:  1994-11-04       Impact factor: 41.582

6.  Follicle Loss and Apoptosis in Cyclophosphamide-Treated Mice: What's the Matter?

Authors:  Xiu-Ying Chen; He-Xia Xia; Hai-Yun Guan; Bin Li; Wei Zhang
Journal:  Int J Mol Sci       Date:  2016-05-30       Impact factor: 5.923

7.  Breast cancer in young women: poor survival despite intensive treatment.

Authors:  Hanna Fredholm; Sonja Eaker; Jan Frisell; Lars Holmberg; Irma Fredriksson; Henrik Lindman
Journal:  PLoS One       Date:  2009-11-11       Impact factor: 3.240

8.  Post-chemotherapy serum anti-Müllerian hormone level predicts ovarian function recovery

Authors:  Hyun-Ah Kim; Jihye Choi; Chan Su Park; Min-Ki Seong; Sung-Eun Hong; Jae-Sung Kim; In-Chul Park; Jin Kyung Lee; Woo Chul Noh
Journal:  Endocr Connect       Date:  2018-08-01       Impact factor: 3.335

9.  Discordant anti-müllerian hormone (AMH) and follicle stimulating hormone (FSH) among women undergoing in vitro fertilization (IVF): which one is the better predictor for live birth?

Authors:  Shunping Wang; Yi Zhang; Virginia Mensah; Warren J Huber; Yen-Tsung Huang; Ruben Alvero
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Review 10.  The Impact of Chemotherapy on the Ovaries: Molecular Aspects and the Prevention of Ovarian Damage.

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1.  Ovarian reserve in premenopausal women with breast cancer.

Authors:  Xiangyun Zong; Yang Yu; Wenhu Chen; Weiwei Zong; Hongjian Yang; Xuan Chen
Journal:  Breast       Date:  2022-06-02       Impact factor: 4.254

2.  Anti-Müllerian hormone as a marker of ovarian reserve and premature ovarian insufficiency in children and women with cancer: a systematic review.

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3.  Determining the Optimal Cut-Off Values of Serum E2 and FSH for Evaluating the Menopausal Status of Breast Cancer Patients in a Southern Chinese Population.

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