Background
Human epidermal growth factor receptor-3 (HER3) is a pseudokinase member of the epidermal growth factor receptor (EGFR) family. It heterodimerizes with receptor tyrosine kinases to activate oncogenic signaling via the the phosphatidylinositol 3-kinase/protein kinase B pathway [
1,
2]. Overexpression of HER3 is observed in several cancers [
3‐
9] and is associated with inferior prognosis [
10‐
15]. In addition, several reports have suggested a pathogenic role for HER3 in mechanisms underlying primary or acquired resistance to EGFR inhibitors [
16‐
18] and anti-HER2 therapies [
19]. Therefore, HER3 is a promising therapeutic target, and several HER3 targeting drugs are currently being studied [
20‐
26].
In gynecological cancers, the incidence of HER3 overexpression was reported to be 41.3–67.5% for ovarian cancer [
5,
27,
28], 30% for endometrial cancer [
29], and 31.0–74.7% for cervical cancer [
15,
30‐
32]. However, most studies have only reported the incidence of HER3 expression at initial diagnosis, while that at recurrent diagnosis was not evaluated. In this study, we evaluated HER3 expression in matched-paired specimens taken from gynecological cancer patients at initial and recurrent diagnosis to evaluate HER3 as a promising biomarker for overcoming treatment failure and improving patient outcomes.
Materials and methods
Study population
This study included gynecological cancer patients with matched-pair tissue samples taken at initial diagnosis and at recurrence between 1999 and 2019 at the National Cancer Center Hospital, Japan. Patients with unavailable or insufficient tumor tissue were excluded. Finally, 86 patients were included (40 with ovarian, 32 with endometrial, and 14 with cervical cancers; Additional file
1: Table S1, Additional file
2: Table S2, Additional file
3: Table S3). We retrospectively collected the following clinical and pathological data: age, histology, stage as defined by the International Federation of Gynecology and Obstetrics in 2008 [
33], lymph node metastasis, adjuvant treatment, and postoperative survival time.
The study was approved by the Institutional Review Board of the National Cancer Center, Tokyo, Japan (Approval Number: 2020–003). Written informed consent was waived because of the retrospective design.
Immunohistochemical staining and evaluation
We performed immunohistochemical (IHC) staining for HER3 as previously described [
34,
35]. Briefly, sections of each sample were deparaffinized and antigen retrieval was performed at high pH (PT Link machine, Dako). The sections were then stained with a rabbit monoclonal antibody against HER3/ErbB3 (1:59 dilution; clone D22C5, Cell Signaling Technology Inc., Danvers, MA, USA) using the Dako autostainer Link48 (Dako, CA, USA) and EnVision Flex Mini Kit (Dako), according to the manufacturer’s instructions. Hematoxylin was used as a nuclear counterstain. HER3-high was defined as an IHC score of 3 + or 2 + , and HER3-low/zero was defined as an IHC score of 1 + or 0 in line with the HER2 testing guidelines for gastroesophageal cancer [
36]. The H-score (range, 0–300) was calculated using the following formula: 3X + 2Y + Z, where X, Y, and Z are the percentages of tumor cells showing strong, moderate, and weak staining intensities, respectively [
37] (Additional file
1: Table S1A–D). The specificity of this HER3 IHC staining method was validated by confirming no signal detected with an isotype control antibody. Both positive and negative cell line control slides were also incorporated into HER3 staining to verify the specificity at every batch of staining.
Statistical analysis
Differential HER3 expression between initial diagnosis and at recurrence was evaluated using the following tests; the χ2 test for categorical variables and the Mann–Whitney U test for continuous variables. Overall survival (OS) was estimated using the Kaplan–Meier method. The log-rank test was used to compare survival between groups. OS was defined as the time from relapse to death from any cause. All tests were two-tailed, and the significance level was set at α = 0.05. All statistical analyses were performed using GraphPad Prism ver.8.0 (GraphPad Software, San Diego, California, USA).
Discussion
Here, we report the change in HER3 expression in gynecological tumor tissues of patients between initial and recurrent diagnosis. HER3 expression was elevated in all types of gynecologic cancers at recurrence (Table
1). While previous findings have reported HER3 expression at initial diagnosis [
5,
27‐
32], to the best of our knowledge, this is the first study to demonstrate changes in HER3 expression among gynecologic cancers.
Table 1
Changes in HER3 expression at initial diagnosis and at recurrence
Ovarian cancer (N = 40) | 27 (67.5%) | 32 (80.0%) | 0.20 | 120 (62.5–172.5) | 160 (90–260) | 0.004 |
Endometrial cancer (N = 32) | 15 (46.9%) | 22 (68.8%) | 0.08 | 65 (30–140) | 100 (60–170) | 0.08 |
Cervical cancer (N = 14) | 12 (85.7%) | 12 (85.7%) | 1.00 | 122.5 (88.75–190) | 180 (132.5–250) | 0.19 |
Total (N = 86) | 54 (62.8%) | 66 (76.7%) | 0.046 | 97.5 (42.5–170) | 135 (86.25–220) | < 0.001 |
HER3 heterodimerizes with HER1/HER2/HER4 and activates a signaling network that promotes tumor growth and metastasis [
1,
2]. Molecularly targeted drugs against the HER family have been reported to increase HER3 expression [
16,
18,
19,
38‐
40]. Janne et al. [
20] reported the promising efficacy of partitumab derutecan in patients with EGFR-mutated non-small cell lung cancer who had developed resistance to EGFR inhibitors. In our study, HER3 expression at recurrence was equally high in patients treated with anti-cancer agents and those who remained untreated. In ovarian and endometrial cancer patients, HER3 expression at recurrence was significantly higher in those patients who received more types of anti-cancer therapy (Additional file
7: Figure S1d, f). These results suggest that HER3 expression at recurrence is independent of HER-targeted therapy.
The biological characteristics of cancer are known to change during progression and recurrence [
41‐
43]. Possible causes for this modulation may include actual biological change, clonal selection due to treatment, sampling errors, and tumor heterogeneity [
44]. Therefore, a re-biopsy for a patient at recurrence should be considered as an option before determining therapeutic regimens in clinical practice, especially in patients resistant to molecularly targeted drugs [
45]. Our data show that HER3 expression is elevated at recurrence in all types of gynecologic cancers. In addition, the discordance rate of HER3-high scores in samples at initial diagnosis versus recurrence was 27.5% and 53.1% for ovarian and endometrial cancers, respectively (Figs.
1d,
2d). This result suggests that even in cancers with low HER3 expression at initial diagnosis, such as endometrial cancer, HER3 expression may still increase at recurrence. Thus, it is essential to evaluate recent samples rather than past tumor tissue when considering HER3 as a therapeutic target.
HER3 plays many roles in cancer cells, including mediating cell transformation and tumor malignancy [
46,
47]. Cancer patients with high HER3 expression are reported to have poorer prognoses in several cancer types [
10‐
15]. Our results indicate that increased HER3 expression at recurrence may be associated with an inferior prognosis (Fig.
4a, b). Thus, therapeutics targeting HER3 may improve the prognosis for patients with recurrent gynecological cancers.
This study has a few limitations. First, our report is based on a relatively small number of patient samples, which were all from a single institution. Second, although we did find increased HER3 expression in samples obtained at recurrence, we did not focus on the mechanisms underlying this increase. One possible reason for this observed regulation of HER3 expression may be clonal selection occurring during tumor progression. Other possible causes may include the postoperative treatment regimen, the site of recurrence, and the time to recurrence. Third, analyses of the association between changes in HER3 expression and survival have not been adjusted for prognostic factors or treatment modalities. Although the association with survival should be evaluated after adjusting for each factor, the small sample size in this study made evaluation difficult. Further evaluation in a larger population is needed to assess the association between changes in HER3 expression and survival. Finally, potential sampling restrictions may have affected our results since most initial diagnosis samples were surgical specimens, while most samples at recurrence were from biopsies.
Acknowledgements
We are grateful to all the participants for supporting this study and Daiichi Sankyo for the collaboration. We thank Kyoko Onozawa for secretarial assistance. The National Cancer Center Biobank is supported by the National Cancer Center Research and Development Fund, Japan. Editage and Cactus Communications provided editorial support in the form of medical writing, assembling tables and creating high-resolution images based on authors’ detailed directions, collating author comments, copyediting, fact-checking, and referencing.
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