Context.—

Breast cancers (BCs) with low levels of human epidermal growth factor receptor 2 (HER2) expression (HER2-low) have become a targetable subset because of novel antibody-drug conjugates. HER2 immunohistochemistry (IHC) is the recommended assay for HER2 classification but is associated with limited interobserver agreement concerning HER2-low identification.

Objective.—

To investigate whether mRNA expression quantified via quantitative reverse transcription–polymerase chain reaction (RT-qPCR) could serve as a valuable complementary and more objective method to identify HER2-low BCs.

Design.—

We selected all cases from a previously published interobserver study, which included 105 needle biopsies from HER2 nonamplified BC cases. HER2 IHC was evaluated by 16 pathologists. For the current study, mRNA was extracted from microdissected invasive tumor cells. RT-qPCR was performed for quantitative evaluation of HER2, using the cutoff values of the MammaTyper assay. We compared the mRNA expression levels with the IHC scores of the majority agreement (IHC 0, IHC >0, <1+ [ultralow], 1+, 2+) and the following HER2 subcategories: HER2 0/ultralow and HER2-low (IHC 1+ and 2+/fluorescence in situ hybridization negative).

Results.—

In total, 88 nonamplified HER2 cases could be analyzed. Based on IHC, 17 cases were HER2 0/ultralow and 71 were HER2-low. The mean rank HER2 mRNA level was significantly higher in HER2-low cases than in the HER2 0/ultralow group (P < .001). However, 10 of 17 HER2 0/ultralow cases by IHC (58.8%) were classified as HER2-low by MammaTyper, 2 of 71 cases (2.8%) were HER2-low by IHC and HER2 0/ultralow by MammaTyper, and 2 (2.8%) were HER2-low by IHC and HER2-positive by RT-qPCR.

Conclusions.—

Our findings indicate a strong agreement between mRNA expression quantified by RT-qPCR and HER2 IHC scores, although there was a substantial proportion of discordant HER2 results between both methods owing to overestimation of HER2 expression by MammaTyper compared to IHC. Future large-scale trials should determine which technique is best associated with clinical outcome.

The introduction of targeted treatments against the human epidermal growth factor receptor 2 (HER2) has significantly enhanced the prognosis for individuals diagnosed with HER2-positive breast cancer (BC) for more than 2 decades.1–4  These HER2-targeted treatments proved to be effective in patients with HER2 amplification, whereas individuals lacking this genetic change do not experience any advantage from such drugs. For this reason, international guidelines were developed focusing mainly on the standardized detection of HER2 amplification.5–7 

This paradigm has recently changed, with the introduction of novel antibody-drug conjugates (ADCs). Among the ADCs, trastuzumab deruxtecan (T-DXd) has proved effective for not only patients with HER2-amplified BC, but also for those with low levels of HER2 expression (HER2-low).8,9  T-DXd consists of an anti-HER2 monoclonal antibody linked to a topoisomerase payload. Because of a much more cleavable linker as compared to the older ADCs, for example, T-DM1, the payload is released in the tumor cells and diffuses across membranes, also killing neighboring HER2-negative tumor cells and thereby resulting in a potent bystander killing effect.10  This therapy significantly extends the progression-free survival and overall survival of patients with HER2-low metastatic BC when compared to conventional chemotherapy.9  Consequently, T-DXd has received approval by the US Food and Drug Administration and the European Medicines Agency for treatment of adult patients with unresectable or metastatic HER2-low (immunohistochemistry [IHC] 1+ or IHC 2+/in situ hybridization [ISH]) BC who have received prior chemotherapy in the metastatic setting or developed disease recurrence/progression during or within 6 months of completing adjuvant chemotherapy.11,12 

According to the European Society for Medical Oncology Expert Consensus,13  the definition of HER2-low BC includes those tumors with IHC scores of 1+ or 2+ with a negative ISH reflex test result, based on the American Society of Clinical Oncology/College of American Pathologists (ASCO/CAP) guideline of 2018.6  The potential to target HER2-low expression in clinical practice has increased the necessity of better methods to diagnose low levels of HER2 protein expression.13  The current IHC assay is calibrated to identify HER2-overexpressing BCs and is therefore not optimized to distinguish between an IHC score of 0 and 1+, as there is no standardized lower level of detection.13–15  Furthermore, limited interobserver reproducibility has been reported in the assessment of nonamplified HER2 BC.16–19  Similarly ISH, another assay often used in clinical practice, does not seem to have additional value to discriminate between HER2 0 and HER2-low.18,20 

Recent studies have assessed RNA expression as a potential alternative method to detect patients with HER2-low BC who may benefit from treatment with ADCs. Some retrospective studies have reported that IHC has a limited dynamic range for measuring HER2 expression compared to RNA-based expression, particularly among HER2-negative patients.15,21  Substantial variations in HER2 mRNA levels within IHC categories highlight the diverse levels of HER2 expression among the IHC scores.15,21  A few studies have shown that higher HER2 mRNA levels are suggestive of better response rates to HER2-targeted treatment with ADCs.22,23  However, the added value of HER2 mRNA levels compared to the IHC score is unclear.

In this study, we aim to assess the relationship between HER2 expression detected by IHC (majority score after evaluation by 16 pathologists) and mRNA using the MammaTyper (Cerca Biotech distributed by Sysmex Europe SE) quantitative reverse transcription–polymerase chain reaction (RT-qPCR) kit.

Patient Selection and Study Design

We selected all BC needle biopsies (n = 105) from our previously published interobserver study of nonoverexpressing HER2 BCs.18  This was a consecutive series of patients diagnosed in 2019. In this study, each case underwent digital HER2 IHC evaluation by 16 specialized pathologists. All slides were scanned with the Nanozoomer 2.0-HT (Hamamatsu Photonics) and uploaded to Slide Score B.V. (version 1.2-2022-05-24T15:37:11) (Netherlands Cancer Institute, Amsterdam, the Netherlands), which allowed zooming to a high magnification (objective, ×40). Scoring was performed manually by the pathologists. HER2 IHC was performed with the VENTANA HER2 rmab clone 4B5, 790-4493 (laboratory-modified protocol settings) on an automatic immunostainer (Ventana BenchMark Ultra, Roche), according to the manufacturer’s instructions. The following criteria were used for the IHC scoring: IHC 0 (no staining), IHC >0, <1+ (incomplete membrane staining in ≤10% of tumor cells), IHC 1+ (incomplete membrane staining in >10% of tumor cells), and IHC 2+ (weak to moderate complete membrane staining in >10% of tumor cells). Our HER2 IHC staining is evaluated by the Nordic Immunohistochemical Quality Control (NordiQC) 2 times per year, with an optimal result.

A high majority agreement was reached when 75% or more of pathologists (12 of 16) agreed on 1 IHC score, and low agreement occurred when fewer than 75% but more than 50% of pathologists agreed. In addition, fluorescence in situ hybridization (FISH) was performed with the BenchMark Ultra. For the detection of HER2, the ZytoLight SPEC ERBB2/CEN 17 Dual Color Probe (Zytovision) was used according to the manufacturer’s protocol. Signal numbers for the chromosomal region 17q12-q21.1 harboring the HER2 gene (labeled with SPEC ERBB2) and the alpha satellite centromeric region of chromosome 17 (CEP17; labeled with CEN 17, ZytoLight) were counted in at least 30 invasive tumor cells, and the ratio of HER2 to CEP17 signal numbers was calculated. The assessment was done by one observer and a second observer checked and approved the interpretation of the tests according to the ASCO/CAP 2018 guideline.6  We reclassified the tumors in the following categories based on the previous tests: HER2-0 (IHC 0), HER2-ultralow (IHC >0, <1+), HER2-low (IHC 1+ or 2+ with negative FISH result).

For the current study, cells from invasive cancer were microdissected to ensure a reliable comparison with the HER2 IHC result, which is also only scored in invasive tumor cells. Prior to microdissection, the areas of invasive tumor were marked by a breast pathologist using the last 4-µm-thick hematoxylin-eosin–stained slides of 5 sequential slides. The remaining 4 slides of formalin-fixed paraffin-embedded tissue were dewaxed and rehydrated. Following hematoxylin staining, invasive cells were miscrodissected manually by using a sterile scalpel under stereomicroscope (Zeiss, Oberkochen, Germany) and stored into RNAse/DNAse-free tubes containing RNALater (Thermo Fisher). RNA was isolated with the RNeasy FFPE kit (Qiagen) according to manufacturer’s instructions. MammaTyper RT-qPCR was used for quantitative evaluation of HER2. Cutoff values of the MammaTyper assay according to manufacturer’s instructions were used as reference for interpretation of mRNA levels.24–27  These corresponded to 3 groups based on ΔΔCq cutoff values: HER2 0/ultralow (<34–38 ΔΔCq), HER2-low (≥38–40.9 ΔΔCq), and HER2-positive (≥40.9 ΔΔCq). Since completing this study the cutoff for HER2 positivity has been lowered to 40.2 ΔΔCq by the manufacturer. We compared the mRNA expression levels with the IHC scores with the highest agreement. Post hoc observational analysis of discordant cases was performed by 1 breast pathologist.

Statistical Analysis

For tumors with discordant HER2 IHC scores, we used the IHC score most frequently scored by the pathologists in the final analysis. When there was no majority score, the highest score was used for analysis. The χ2 test was used to compare categorical variables between IHC categories and MammaTyper categories. The Shapiro-Wilk test was used to check all variables for normal distribution. Analysis of the association between the IHC scores and mRNA levels was performed by applying the Kruskal-Wallis and Mann-Whitney U tests and expressed as mean rank, as these data were not normally distributed. Linear regression analysis was conducted to predict the IHC-based HER2 scores by FISH and MammaTyper. A P value of <.05 was considered significant, except for the post hoc Mann-Whitney U tests following the Kruskal-Wallis tests, where a value of P < .016 and P < .025 was used according to Bonferroni correction for multiple testing. Analyses and figure generation were performed in SPSS (version 28.0.1 [released 2021], IBM Corp).

Ethical Approval

This study was approved by the Medical Ethics Committee of Erasmus MC, Rotterdam, the Netherlands (MEC-2023-0700). The Medical Research Involving Human Subjects Act does not apply to this work; consequently there was no need for an informed consent. The study was performed in accordance with the Declaration of Helsinki.

Agreement Between IHC Scores and mRNA Expression

The methodology for case selection and analysis with MammaTyper is summarized in Figure 1. From the original 105 cases used in our previous interobserver study, 88 had enough tissue for mRNA extraction and valid RT-qPCR results. From these 88 cases, 11 (12.5%) were scored as IHC 0, 6 (6.8%) as IHC ultralow, 45 (51.1%) as IHC 1+, and 26 (29.5%) as IHC 2+ by most pathologists. All cases were nonamplified according to FISH. After reclassification, 17 cases (19%) were HER2 0/ultralow and 71 (81%) were HER2-low. In 2 cases, the number of pathologists’ votes across IHC categories was equal. The first case without a majority diagnosis was 0/ultralow versus 1+ and the second was 1+ versus 2+. The agreement between IHC scores and mRNA expression per case is illustrated in Figure 2.

Figure 1.

Flowchart of inclusion and exclusion criteria. Abbreviations: FISH, fluorescence in situ hybridization; HER2, human epidermal growth factor receptor 2; IHC, immunohistochemistry; qRT-PCR, quantitative reverse transcription–polymerase chain reaction.

Figure 1.

Flowchart of inclusion and exclusion criteria. Abbreviations: FISH, fluorescence in situ hybridization; HER2, human epidermal growth factor receptor 2; IHC, immunohistochemistry; qRT-PCR, quantitative reverse transcription–polymerase chain reaction.

Close modal
Figure 2.

Agreement between immunohistochemistry (IHC) scores and mRNA expression per case. On the x-axis, the first level (from top to bottom) represents the case number included in the analysis, the second level represents the IHC score given by the majority of pathologists’ votes, and the third level represents the human epidermal growth factor receptor 2 (HER2) score after reclassification. On the y-axis, the first level (from right to left) represents the mRNA expression quantified in 40 ΔΔCq, and the second level represents the HER2 score given by MammaTyper’s cutoff values. On the upper horizontal axis, the percentage agreement among pathologists regarding IHC score is presented.

Figure 2.

Agreement between immunohistochemistry (IHC) scores and mRNA expression per case. On the x-axis, the first level (from top to bottom) represents the case number included in the analysis, the second level represents the IHC score given by the majority of pathologists’ votes, and the third level represents the human epidermal growth factor receptor 2 (HER2) score after reclassification. On the y-axis, the first level (from right to left) represents the mRNA expression quantified in 40 ΔΔCq, and the second level represents the HER2 score given by MammaTyper’s cutoff values. On the upper horizontal axis, the percentage agreement among pathologists regarding IHC score is presented.

Close modal

Overall, the agreement between the HER2 groups (HER2 0/ultralow and HER2-low) according to IHC and MammaTyper was 84% (n = 74 of 88). From the 14 discordant cases, 10 corresponded to HER2 0/ultralow by IHC and HER2-low by RT-qPCR, 2 cases were HER2-low by IHC and HER2 0/-ultralow by RT-qPCR, and 2 were HER2-low by IHC and HER2-positive by RT-qPCR. In other words, 10 of 17 HER2 0/ultralow cases by IHC (58.8%) disagreed with MammaTyper, and 4 of 71 HER2-low cases by IHC (5.6%) disagreed with MammaTyper. Those 2 cases that were classified as HER2-positive by mRNA were scored as 2+ by IHC with a high agreement between pathologists, as illustrated in Figure 2. There were no IHC 3+ scores. Examples of cases with a disagreement between HER2 IHC and mRNA are shown in Figure 3, A and B.

Figure 3.

Discrepancies between human epidermal growth factor receptor 2 (HER2) immunohistochemistry (IHC) and mRNA expression. A, A case classified as HER2 0 by IHC (10 pathologists scored as 0/ultralow and 6 pathologists scored as 1+) and HER2-low by mRNA. B, A case that was classified as HER2-low by IHC (15 pathologists scored as 2+ and 1 scored as 1+) and HER2-positive by mRNA expression (original magnification ×40 [A] and [B]).

Figure 3.

Discrepancies between human epidermal growth factor receptor 2 (HER2) immunohistochemistry (IHC) and mRNA expression. A, A case classified as HER2 0 by IHC (10 pathologists scored as 0/ultralow and 6 pathologists scored as 1+) and HER2-low by mRNA. B, A case that was classified as HER2-low by IHC (15 pathologists scored as 2+ and 1 scored as 1+) and HER2-positive by mRNA expression (original magnification ×40 [A] and [B]).

Close modal

Post hoc analysis of cases with disagreement between IHC and mRNA quantification did not show any recognizable clinical or pathologic characteristics. Some of the discrepant cases showed unspecific nonmembranous HER2 staining, but this was also seen in some of the concordant cases, so this was not an obvious explanation for discordance between IHC and mRNA expression. We also evaluated if there was an association between the level of pathologist agreement (<75% versus ≥75% agreement) and the discordance between IHC and mRNA expression. From the 14 cases that were discordant between IHC and MammaTyper, 3 had less than 75% agreement among pathologists and 11 had an agreement of 75% or more, so the discrepant cases could not be explained by a lower pathologist agreement. Furthermore, a significant difference in mean rank levels of HER2 was observed by comparing the continuous variable of mRNA expression to the IHC scores with HER2 0 and ultralow merged together (P < .001). After Bonferroni correction (P < .025), a significant difference in mean rank was also found between groups (IHC 0/ultralow versus IHC 1+: P < .001; IHC 1+ versus 2+: P = .018) (Figure 4, A). This analysis was then performed with the groups IHC 0 and ultralow separated (Figure 4, B). After Bonferroni correction (P < .016), no significant difference in mRNA expression was found between IHC groups (IHC 0 versus ultralow: P = .54; ultralow versus 1+: P = .02; 1+ versus 2+: P = .018). However, when comparing the mRNA expression of IHC 0 versus 1+, a significant difference was achieved (P < .001).

Figure 4.

A, Association between human epidermal growth factor receptor 2 immunohistochemistry (IHC) status (with IHC 0 and ultralow cases clustered together) and mRNA expression. B, Association between IHC score (with IHC 0 and ultralow cases as separate categories) and mRNA expression. Significant differences in mRNA expression after Bonferroni correction (P < .025 [A]; P < .016 [B]) are marked in red.

Figure 4.

A, Association between human epidermal growth factor receptor 2 immunohistochemistry (IHC) status (with IHC 0 and ultralow cases clustered together) and mRNA expression. B, Association between IHC score (with IHC 0 and ultralow cases as separate categories) and mRNA expression. Significant differences in mRNA expression after Bonferroni correction (P < .025 [A]; P < .016 [B]) are marked in red.

Close modal

Agreement Between IHC and FISH and Between FISH and mRNA Expression

Dual-probe FISH was performed in all cases and no amplification was observed. The median and range of HER2 copy number and the HER2 to CEP17 ratio was 1.8 (1.06–4.23) and 1.59 (0.432–4.188), respectively. A significant difference in median levels of HER2 copies was achieved by comparing the continuous variable of HER2 copy number to the IHC scores with HER2 0 and ultralow merged together (P < .001). After Bonferroni correction, a significant difference in mean rank was found between IHC 1+ and IHC 2+ (P = .006), but not between IHC 0/ultralow and 1+ (P = .06) (Figure 5, A). This analysis was then performed with the groups IHC 0 and ultralow separated (Figure 5, B). A significant difference was present only between IHC 0 versus 2+ (P = .004) and IHC 1+ versus 2+ (P = .006).

Figure 5.

A, Association between HER2 status and HER2 copy per cell quantified by FISH, with IHC 0 and ultralow cases clustered together. B, Association between IHC score by consensus and HER2 copy per cell quantified by FISH, with IHC 0 and ultralow cases as separate categories. Significant differences in mRNA expression after Bonferroni correction (P < .025 [A]; P < .016 [B]) are marked in red. Abbreviations: FISH, fluorescence in situ hybridization; HER2, human epidermal growth factor receptor 2; IHC, immunohistochemistry.

Figure 5.

A, Association between HER2 status and HER2 copy per cell quantified by FISH, with IHC 0 and ultralow cases clustered together. B, Association between IHC score by consensus and HER2 copy per cell quantified by FISH, with IHC 0 and ultralow cases as separate categories. Significant differences in mRNA expression after Bonferroni correction (P < .025 [A]; P < .016 [B]) are marked in red. Abbreviations: FISH, fluorescence in situ hybridization; HER2, human epidermal growth factor receptor 2; IHC, immunohistochemistry.

Close modal

Furthermore, a linear regression analysis was performed to evaluate the agreement between HER2 copy number detected by FISH and the HER2 mRNA expression. There was a moderate association between these variables (r = .54, P = .01) (Figure 6).

Figure 6.

Association between mRNA level and human epidermal growth factor receptor 2 (HER2) copy per cell quantified by fluorescence in situ hybridization.

Figure 6.

Association between mRNA level and human epidermal growth factor receptor 2 (HER2) copy per cell quantified by fluorescence in situ hybridization.

Close modal

Assessment of the Predictive Efficacy of FISH and MammaTyper Based on IHC

A multiple linear regression analysis was conducted to predict the HER2 scores by IHC in nonamplified tumors, based on FISH and MammaTyper. Overall, the independent variables significantly predicted HER2 score by IHC (F2,85 = 22.54, P < .001), which indicates that both ISH and mRNA expression are significantly related to the IHC result. Additionally, coefficients were further assessed to ascertain which variable was stronger to predict IHC scores. This showed that HER2 copy number assessed by FISH had a lower impact on predicting IHC (B = .23, t = 2.52, P = .013) than mRNA expression evaluated by MammaTyper (B = .48, t = 5.29, P = .01).

Since the recent introduction of T-DXd for treatment of metastatic HER2-low BC, the search for more precise diagnostic methods to detect HER2-low BC has become very relevant. The current diagnostic techniques recommended by international guidelines for the detection of patients who could benefit from regular HER2-targeted therapy have proved less accurate to detect HER2-low tumors.6,14,18  The main reason for this is that IHC and FISH are calibrated to discriminate between HER2-amplified versus nonamplified tumors, while the difference between HER2 0 and HER2-low may be so limited that it cannot be detected accurately by these conventional methods.15 

In the present study, we assessed the agreement of HER2 status between IHC by a majority of pathologists’ votes and mRNA expression in nonamplified HER2 BC cases. Based on the cutoff values provided by MammaTyper, a high agreement (84%) was found between IHC and mRNA expression. Most of the cases that were discordant corresponded to tumors that were scored by IHC as HER2 0/ultralow and as HER2-low by mRNA expression, meaning that more than half of the HER2 IHC 0-ultralow cases (10 of 17, 58.8%) had a mRNA expression comparable to that of HER2-low tumors. Furthermore, we demonstrated that there was a significant difference in mean rank mRNA expression between the IHC groups when HER2 0 and ultralow were grouped together. However, this difference was negligible once the groups IHC 0 and ultralow were separated. Similar results were observed in 2 previous studies, where mRNA expression showed substantial overlap between IHC 0 groups and IHC 1+ regardless of a significant difference in mean rank expression.15,28  This suggests that HER2 mRNA levels might be indistinguishable across these IHC groups of nonamplified tumors. On the other hand, some authors have reported a significant difference in mRNA expression between IHC 0 versus 1+, and ultralow versus 1+, but not a significant difference between IHC 0 versus ultralow.21,29,30  These results indicate that the IHC assay has limitations regarding the detection of low levels of HER2 expression, since the HER2 0/ultralow group seems to be a heterogeneous cluster with certain cases expressing very low HER2 mRNA levels, and other cases having a higher expression comparable to that of HER2-low tumors. An in vitro study established that cells containing more than 20 000, 100 000, 500 000, and 2 300 000 receptors corresponded to IHC 0, IHC ultralow, IHC 1+ or 2+, and IHC 3+.31  The slight difference in receptor number between IHC 0 and ultralow could explain the difficulty to distinguish IHC 0 from ultralow with the current diagnostic methods.

Another factor to consider is the HER2 antibody calibration. In this study, the HER2 antibody PATHWAY 4B5 (Roche Diagnostics) was used, which is the one used in the DESTINY-Breast trials. However, a recent study by Rüschoff et al32  reported that PATHWAY 4B5 (Roche Diagnostics) may have a lower sensitivity to detect HER2-low tumors when compared to the HercepTest mAb pharmDx antibody (Dako Omnis). Thus, the results of this study relate to the antibody used and are not generalizable to other HER2 antibodies.

In addition, we compared the ability of mRNA expression and FISH to predict IHC scores. mRNA expression assessed by MammaTyper showed a higher association to IHC than FISH. In our previous interobserver study, we reported that FISH is not a useful tool to distinguish among HER2-nonamplified subgroups.18  In this current study, there were 10 cases (of 14 discordant cases) that MammaTyper classified as HER2-low, while IHC classified them as HER2 0/ultralow. This overestimation could be attributed to the perils of IHC itself. As previously noted by our group, numerous tumors with significant discordance among pathologists contain regions with nonspecific HER2 staining, adding complexity to the scoring process.18  It may be that cells exhibiting these nonspecific staining patterns have some HER2 expression, but owing to the influence of preanalytical factors this is not reflected correctly in the slide. On the other hand, another reason for this phenomenon could be attributed to the nature of mRNA quantification by RT-qPCR, which assesses HER2 expression on a continuous scale, rather than a categorical classification. This distinction might elucidate why the measurement of mRNA expression levels could surpass the accuracy of IHC in certain cases.15,28 

An important factor to consider is the loss of spatial information in a PCR test.33  The sample dilution does not consider intratumor heterogeneity and other cell types from the tumor ecosystem.33  For instance, in a study by Acs et al,34  it was observed that an increase in stromal cellularity and/or associated inflammatory cells could contribute to an increase of false negatives and false-positive results in RNA quantification. However, a study by Viale et al35  argued that discordances between RNA and HER2 IHC could not be explained by intratumoral heterogeneity. Another factor that has been related to higher HER2 mRNA levels is the presence of ductal carcinoma in situ (DCIS) with higher IHC expression levels than the invasive component.33  In a MammaTyper study by Hartmann et al,36  which included both HER2-amplified and nonamplified BC cases, the mean rank difference in RNA expression between whole sections containing up to 60% DCIS and specimens after microdissection was only 0.16 cycles for HER2 (0.00 to 0.79), although the authors noted that there was a tendency for higher expression in DCIS. These results are similar to other publications.37,38  However, the differences in HER2 expression between IHC 0/ultralow and 1+ are so small that the impact of these variables in mRNA quantification should be considered. In our present study, microdissection was performed to reduce the influence of all these factors and to optimize the association with the IHC score, which was also limited to the invasive component only.

Until now, the clinical indication for treatment with T-DXd was restricted to HER2-low cases, so more precise methods to detect low levels of HER2 expression with clinical relevance are required. However, the optimal lower threshold is unknown. Recently, the effect of T-DXd was tested in the DESTINY-Breast06 trial, which included 153 patients with HER2-ultralow metastatic BC. Here T-DXd reduced the risk of disease progression or death by 22% as compared to chemotherapy with a median progression-free survival of 13.2 months versus 8.3 months, respectively.39  These results in the HER2-ultralow group are consistent with the HER2-low group, so this study showed that T-DXd could also be an effective treatment option for patients with HER2-ultralow BC. Results from the DESTINY-Breast15, which includes patients with HER2-0 metastatic BC (with and without hormone receptor positivity) may further clarify the clinical relevant lower threshold of HER2 expresssion.39,40  Currently, data from the DAISY trial (including a total number of 177 patients) indicate that among the 37 patients categorized as having an IHC 0 score and treated with T-DXd, 11 had an objective response.23  Additionally, central review of 31 of these 37 cases revealed some level of HER2 expression by IHC in 15 samples (8 were classified as IHC ultralow and 7 as IHC 1+) and no detectable IHC HER2 expression in 16 cases. Among these, 6 of 15 patients with detectable HER2 expression and 4 of 16 patients without detectable IHC HER2 expression had a confirmed objective response.23  Additional large-scale studies of HER2 nonamplified BCs (including HER2 0/HER2 ultralow cases) with clinical outcome are needed to determine the lower level of clinically relevant HER2 mRNA expression. The performance of several diagnostic tests (eg, IHC and mRNA expression) should be linked to these studies, which enables the comparison of their performance in relation to therapy response. In other words, these future studies should answer the following question: Are HER2 mRNA levels better predictors for therapy response than HER2 protein expression levels? Based on its dynamic range, reflecting a biological continuum, mRNA expression could have additional value compared to the categorical IHC score in the future. However, until these tests are compared with one another and linked to clinical response to T-DXd, we believe that IHC, regardless of its limitations, is still the most practical and validated test to detect HER2-low in routine clinical practice now.

The present study offers a comprehensive examination of mRNA levels across HER2 0, ultralow, and low BCs. A notable aspect of this study is the central review of IHC scores by a considerable number of expert pathologists. Another strength of this study is the use of microdissection before mRNA extraction, minimizing the potential impact of other cell types on mRNA quantification. However, this study also has certain limitations. The most important limitation is the number of patients, mainly those cases classified as IHC 0 and ultralow. Another limitation is the lack of knowledge of clinical response to T-DXd.

The findings of the current study indicate a strong agreement between mRNA expression as quantified by RT-qPCR and HER2 IHC scores, although there was still a substantial proportion of discordant HER2 results between both methods. Future large-scale studies comprising clinical outcome are needed to determine the added (or even superior) value of mRNA quantification in nonamplified HER2 BC.

The authors thank Mieke R. van Bockstal, MD, PhD; Glenn Broeckx, MD, PhD; Cecile Colpaert, MD, PhD; Shusma C. Doebar, MD, PhD; Marieke C. H. Hogenes, MD, PhD; Esther Koop, MD, PhD; Kathleen Lambein, MD, PhD; Dieter J. E. Peeters, MD, PhD; Renata H. J. A. Sinke, MD, PhD; Johannes Bastiaan van Brakel, MD, PhD; Jose van der Starre-Gaal, MD, PhD; Bert van der Vegt, MD, PhD; Koen van de Vijver, MD, PhD; Celien P. H. Vreuls, MD, PhD; Willem Vreuls, MD, PhD; and Pieter J. Westenend MD, PhD, for their participation in the scoring of the slides; and Hein Sleddens, MSc, and Ludo Uytdewilligen, MSc, for performing and scoring the fluorescence in situ hybridization assays of our previous interobserver study.

1.
Early Breast Cancer Trialists’ Collaborative Group.
Trastuzumab for early-stage, HER2-positive breast cancer: a meta-analysis of 13 864 women in seven randomised trials
.
Lancet Oncol
.
2021
;
22
(
8
):
1139
1150
.
2.
Plosker
GL
,
Keam
SJ.
Trastuzumab: a review of its use in the management of HER2-positive metastatic and early-stage breast cancer
.
Drugs
.
2006
;
66
(
4
):
449
475
.
3.
Slamon
D
,
Eiermann
W
,
Robert
N
, et al.
Adjuvant trastuzumab in HER2-positive breast cancer
.
N Engl J Med
.
2011
;
365
(
14
):
1273
1283
.
4.
Albanell
J
,
Baselga
J.
Trastuzumab, a humanized anti-HER2 monoclonal antibody, for the treatment of breast cancer
.
Drugs Today (Barc)
.
1999
;
35
(
12
):
931
946
.
5.
Wolff
AC
,
Hammond
ME
,
Schwartz
JN
, et al.
American Society of Clinical Oncology/College of American Pathologists guideline recommendations for human epidermal growth factor receptor 2 testing in breast cancer
.
Arch Pathol Lab Med
.
2007
;
131
(
1
):
18
43
.
6.
Wolff
AC
,
Hammond
MEH
,
Allison
KH
, et al.
Human Epidermal Growth Factor Receptor 2 Testing in Breast Cancer: American Society of Clinical Oncology/College of American Pathologists Clinical Practice Guideline Focused Update
.
Arch Pathol Lab Med
.
2018
;
142
(
11
):
1364
1382
.
7.
Wolff
AC
,
Somerfield
MR
,
Dowsett
M
, et al.
Human Epidermal Growth Factor Receptor 2 Testing in Breast Cancer: ASCO-College of American Pathologists Guideline Update
.
J Clin Oncol
.
2023
;
41
(
22
):
3867
3872
.
8.
Tarantino
P
,
Trapani
D
,
Curigliano
G.
Mastering the use of novel anti-HER2 treatment options
.
JCO Oncol Pract
.
2021
;
17
(
10
):
605
606
.
9.
Modi
S
,
Jacot
W
,
Yamashita
T
, et al.
Trastuzumab deruxtecan in previously treated HER2-low advanced breast cancer
.
N Engl J Med
.
2022
;
387
:
9
20
.
10.
Shitara
K
,
Iwata
H
,
Takahashi
S
, et al.
Trastuzumab deruxtecan (DS-8201a) in patients with advanced HER2-positive gastric cancer: a dose-expansion, phase 1 study
.
Lancet Oncol
.
2019
;
20
(
6
):
827
836
.
11.
US Food and Drug-Administration
.
FDA approves fam-trastuzumab deruxtecan-nxki for HER2-low breast cancer
. https://www.fda.gov/drugs/resources-information-approved-drugs/fda-approves-fam-trastuzumab-deruxtecan-nxki-her2-low-breast-cancer.
Updated August 5, 2022
. Accessed September 27, 2022.
12.
European Medicines Agency.
Enhertu, trastuzumab deruxtecan
. https://www.ema.europa.eu/en/medicines/human/EPAR/enhertu.
Updated March 5, 2024. Accessed March 5, 2024
.
13.
Tarantino
P
,
Viale
G
,
Press
MF
, et al.
ESMO Expert Consensus Statements (ECS) on the definition, diagnosis, and management of HER2-low breast cancer
.
Ann Oncol
.
2023
;
34
(
8
):
645
659
.
14.
Baez-Navarro
X
,
Salgado
R
,
Denkert
C
, et al.
Selecting patients with HER2-low breast cancer: getting out of the tangle
.
Eur J Cancer
.
2022
;
175
:
187
192
.
15.
Xu
K
,
Bayani
J
,
Mallon
E
, et al.
Discordance between immunohistochemistry and ERBB2 mRNA to determine HER2 low status for breast cancer
.
J Mol Diagn
.
2022
;
24
(
7
):
775
783
.
16.
Schettini
F
,
Chic
N
,
Braso-Maristany
F
, et al.
Clinical, pathological, and PAM50 gene expression features of HER2-low breast cancer
.
NPJ Breast Cancer
.
2021
;
7
(
1
):
1
.
17.
Fernandez
AI
,
Liu
M
,
Bellizzi
A
, et al.
Examination of low ERBB2 protein expression in breast cancer tissue
.
JAMA Oncol
.
2022
;
8
(
4
):
1
4
.
18.
Baez-Navarro
X
,
van Bockstal
MR
,
Nawawi
D
, et al.
Interobserver variation in the assessment of immunohistochemistry expression levels in HER2-negative breast cancer: can we improve the identification of low levels of HER2 expression by adjusting the criteria—an international interobserver study
.
Mod Pathol
.
2023
;
36
(
1
):
100009
.
19.
Robbins
CJ
,
Fernandez
AI
,
Han
G
, et al.
Multi-institutional assessment of pathologist scoring HER2 immunohistochemistry
.
Mod Pathol
.
2023
;
36
(
1
):
100032
.
20.
Ardor
GD
,
Komforti
MK
,
Hanna
H
,
Ibanoglu
O
,
Lochala
A
,
Nassar
A.
Evaluating low HER2 status in invasive breast carcinoma via HER2 immunohistochemistry, with HER2 FISH correlation: a cohort of 112 patients
.
Breast J
.
2023
;
2023
:
9725647
.
21.
Lin
HK
,
Can
T
,
Kahn
A
, et al.
Molecular characterization of HER2-low invasive breast carcinoma by quantitative RT-PCR using Oncotype DX assay
.
Oncologist
.
2023
;
28
(
10
):
e973
e976
.
22.
Griguolo
G
,
Braso-Maristany
F
,
Gonzalez-Farre
B
, et al.
ERBB2 mRNA expression and response to ado-trastuzumab emtansine (T-DM1) in HER2-positive breast cancer
.
Cancers (Basel)
.
2020
;
12
(
7
):
1920
.
23.
Mosele
F
,
Deluche
E
,
Lusque
A
, et al.
Trastuzumab deruxtecan in metastatic breast cancer with variable HER2 expression: the phase 2 DAISY trial
.
Nat Med
.
2023
;
29
(
8
):
2110
2120
.
24.
Varga
Z
,
Lebeau
A
,
Bu
H
, et al.
An international reproducibility study validating quantitative determination of ERBB2, ESR1, PGR, and MKI67 mRNA in breast cancer using MammaTyper(R)
.
Breast Cancer Res
.
2017
;
19
(
1
):
55
.
25.
Wirtz
RM
,
Sihto
H
,
Isola
J
, et al.
Biological subtyping of early breast cancer: a study comparing RT-qPCR with immunohistochemistry
.
Breast Cancer Res Treat
.
2016
;
157
(
3
):
437
446
.
26.
Teng
X
,
Li
X
,
Xu
S
, et al.
ERBB2 mRNA expression in HER2-low breast cancer
.
Eur J Cancer
.
2022
;
175
:
S93
.
27.
Laible
M
,
Schlombs
K
,
Kaiser
K
, et al.
Technical validation of an RT-qPCR in vitro diagnostic test system for the determination of breast cancer molecular subtypes by quantification of ERBB2, ESR1, PGR and MKI67 mRNA levels from formalin-fixed paraffin-embedded breast tumor specimens
.
BMC Cancer
.
2016
;
16
:
398
.
28.
Shu
L
,
Tong
Y
,
Li
Z
,
Chen
X
,
Shen
K.
Can HER2 1+ breast cancer be considered as HER2-low tumor: a comparison of clinicopathological features, quantitative HER2 mRNA levels, and prognosis among HER2-negative breast cancer
.
Cancers (Basel)
.
2022
;
14
(
17
):
4250
.
29.
Yue
M
,
Wu
S
,
Wang
X
,
Cai
L
,
Yang
H
,
Liu
Y.
RT-qPCR is helpful to distinguish the clinicopathological features of HER2 immunohistochemistry 0 and 1
+.
Pathol Res Pract
.
2023
;
247
:
154532
.
30.
Feldman
D
,
Sinberger
LA
,
Salmon-Divon
M
,
Ben-Dror
J
,
Shachar
SS
,
Sonnenblick
A.
Impact of the OncotypeDX score and HER2 RNA PCR levels on HER2-low IHC levels in primary and metastasized tumors
.
BMC Cancer
.
2023
;
23
(
1
):
1031
.
31.
Ross
JS
,
Fletcher
JA
,
Linette
GP
, et al.
The HER-2/neu gene and protein in breast cancer 2003: biomarker and target of therapy
.
Oncologist
.
2003
;
8
(
4
):
307
325
.
32.
Rüschoff
J
,
Friedrich
M
,
Nagelmeier
I
, et al.
Comparison of HercepTest™ mAb pharmDx (Dako Omnis, GE001) with Ventana PATHWAY anti-HER-2/neu (4B5) in breast cancer: correlation with HER2 amplification and HER2 low status
.
Virchows Arch
.
2022
;
481
(
5
):
685
694
.
33.
Van Bockstal
M
,
Floris
G
,
Galant
C
,
Lambein
K
,
Libbrecht
L.
A plea for appraisal and appreciation of immunohistochemistry in the assessment of prognostic and predictive markers in invasive breast cancer
.
Breast
.
2018
;
37
:
52
55
.
34.
Acs
G
,
Esposito
NN
,
Kiluk
J
,
Loftus
L
,
Laronga
C.
A mitotically active, cellular tumor stroma and/or inflammatory cells associated with tumor cells may contribute to intermediate or high Oncotype DX Recurrence Scores in low-grade invasive breast carcinomas
.
Mod Pathol
.
2012
;
25
(
4
):
556
566
.
35.
Viale
G
,
de Snoo
FA
,
Slaets
L
, et al.
Immunohistochemical versus molecular (BluePrint and MammaPrint) subtyping of breast carcinoma: outcome results from the EORTC 10041/BIG 3-04 MINDACT trial
.
Breast Cancer Res Treat
.
2018
;
167
(
1
):
123
131
.
36.
Hartmann
K
,
Schlombs
K
,
Laible
M
, et al.
Robustness of biomarker determination in breast cancer by RT-qPCR: impact of tumor cell content, DCIS and non-neoplastic breast tissue
.
Diagn Pathol
.
2018
;
13
(
1
):
83
.
37.
Tramm
T
,
Hennig
G
,
Kyndi
M
, et al.
Reliable PCR quantitation of estrogen, progesterone and ERBB2 receptor mRNA from formalin-fixed, paraffin-embedded tissue is independent of prior macro-dissection
.
Virchows Arch
.
2013
;
463
(
6
):
775
786
.
38.
Poremba
C
,
Uhlendorff
J
,
Pfitzner
BM
, et al.
Preanalytical variables and performance of diagnostic RNA-based gene expression analysis in breast cancer
.
Virchows Arch
.
2014
;
465
(
4
):
409
417
.
39.
ClinicalTrials.gov.
Study of trastuzumab deruxtecan (T-DXd) vs investigator’s choice chemotherapy in HER2-low, hormone receptor positive, metastatic breast cancer (DB-06). US National Library of Medicine
. https://classic.clinicaltrials.gov/ct2/show/NCT04494425.
Updated April 12, 2024
. Accessed April 16, 2024.
40.
ClinicalTrials.gov.
Trastuzumab deruxtecan (T-DXd) in patients who have hormone receptor-negative and hormone receptor-positive HER2-low or HER2 IHC 0 metastatic breast cancer
.
US National Library of Medicine
. https://classic.clinicaltrials.gov/ct2/show/NCT05950945.
Updated January 5, 2024
. Accessed April 16, 2024.

Author notes

Sysmex Nederland B.V. provided the PCR kits for this project.

van Deurzen received research funding from AstraZeneca and Roche; however, AstraZeneca was not involved in the processing, analysis, and interpretation of the results or the content of this manuscript. The other authors have no relevant financial interest in the products or companies described in this article.