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CITED1 as a marker of favourable outcome in anti-endocrine treated, estrogen-receptor positive, lymph-node negative breast cancer

BMC Research Notes volume 16, Article number: 105 (2023) Cite this article

Abstract

Objective

To investigate CITED1 as a potential biomarker of anti-endocrine response and breast cancer recurrence, given its previously determined role in mediating estrogen-dependant transcription. The study is a continuation of earlier work establishing the role of CITED1 in mammary gland development.

Results

CITED1 mRNA is associated with estrogen-receptor positivity and selectively expressed in the GOBO dataset of cell lines and tumours representing the luminal-molecular subtype. In patients treated with tamoxifen, higher CITED1 correlated with better outcome, suggesting a role in anti-estrogen response. The effect was particularly evident in the subset of estrogen-receptor positive, lymph-node negative (ER+/LN−) patients although noticeable divergence of the groups was apparent only after five years. Tissue microarray (TMA) analysis further validated the association of CITED1 protein, by immunohistochemistry, with favourable outcome in ER+, tamoxifen-treated patients. Although we also found a favourable response to anti-endocrine treatment in a larger TCGA dataset, the tamoxifen-specific effect was not replicated. Finally, MCF7 cells overexpressing CITED1 showed selective amplification of AREG but not TGFα suggesting that maintenance of specific ERα-CITED1 mediated transcription is important for the long-term response to anti-endocrine therapy. These findings together confirm the proposed mechanism of action of CITED1 and support its potential use as a prognostic biomarker.

Peer Review reports

Introduction

Transcriptional coregulators comprise a family of proteins, which often do not harbour DNA-binding domains but function within complexes to affect target gene expression of a given transcription factor [1]. CITED1 encodes the founding member of a family of three related proteins with a homologous C-terminal domain responsible for interaction with the coactivator family of P300-CBP [2]. A CITED1 knockout mouse model we previously described had a mammary gland phenotype defined by stunted ductal outgrowth at puberty and altered transcription of a subset of estrogen-responsive genes. The phenotype could in part be explained by earlier work showing that CITED1 acted as coregulator for the estrogen receptor [3, 4]. We hypothesised that maintenance of the ERα-CITED1 signalling pathway was indicative of a more normally functioning epithelium and subsequently showed that CITED1 correlated with better breast cancer prognosis in a tumour dataset [5]. In this study we sought to verify its proposed function as an ERα-coregulator specifically in breast cancer cells, further elucidate its potential role as a prognostic indicator, and investigate its relevance, if any, for treatment response. To do this, we examined CITED1 mRNA and protein expression, in human breast cancer cell lines as well as several independent tumour datasets. Interrogating the publicly available database, GOBO, served as a starting point to develop our hypotheses. To further validate our observations, we used a previously described tissue microarray (TMA) and the publicly available TCGA breast cancer dataset. We additionally generated MCF7 cells stably overexpressing CITED1 to examine changes in gene transcription.

Main text

Results and discussion

CITED1 is expressed in the breast cancer cell lines and tumours of the ER+/luminal subtype and correlates with better prognosis in a tamoxifen-treated cohort

The GOBO database allows for the investigation of gene expression across a panel of 51 breast cancer cell lines and 1881 breast tumours with the advantage of stratifying by molecular subtype [6]. The molecular subtypes (ER+/luminal, HER2, and basal-like) established in a landmark paper in 2000, redefined our understanding of breast cancer in terms of a tumour genotype/phenotype that could explain differences in clinical presentation and treatment response, and inform prognosis [7, 8]. Interrogation of this database revealed that CITED1 is expressed in cell lines that represent the ER+/luminal subtypes (MCF, T47D, SkBr3) but absent in basal-like cell lines (HCC1937, BT549, Sum149) (Fig. 1a). Western blot analysis confirmed that this correlation extended to protein expression (Fig. 1b). Moreover, the association with the luminal subtype was retained in tumours, and our previous observation that CITED1 expression correlated with ERα-positivity was confirmed (Fig. 1c, d) [5, 9, 10]. Further analysis revealed that patients treated with tamoxifen (TAM) with high relative CITED1 expression, had increased distant metastasis-free survival (DMFS) (Fig. 1e). This was not simply reflecting ERα gene expression as ESR1 alone was not prognostic in this dataset. Furthermore, the survival rate of patients in the low CITED1 expression group were comparable to the untreated group (Additional file 1: Fig. S1a, b). The difference in DMFS was especially apparent in the subset of tamoxifen-treated tumours that were estrogen-receptor positive, lymph node negative (ER+/LN−). (Fig. 1f). This observation is notable because these are typically considered a good prognostic group where, in most cases, surgery, with or without adjuvant treatment, is curative. Patients can however succumb to much later recurrence, even as much as 20 years after their primary cancer. The absolute risk for low-grade, LN− tumours (T1N0) is approximately 10% in the 5–20 years following diagnosis [11]. Having means to identify and parse high-risk/non-responders and specifically later recurrence is therefore highly sought after.

Fig. 1
figure 1

CITED1 is expressed in cell lines of the ER+ luminal breast cancer subtype and correlates with tamoxifen response in vivo. A GOBO database of breast cancer cell lines showing relative expression of CITED1 mRNA ordered by tumour molecular subtypes representation. Luminal—orange, Basal A—light blue, Basal B—blue *Misclassified melanoma cell line, MDAMB435 [36]. B CITED1 protein expression is shown in breast cancer cell lines representing the different tumour molecular subtypes. β-actin is used as a loading control. C CITED1 expression in the various molecular subtypes represented in the GOBO breast tumour dataset. D CITED1 expression in ER+ and ER− tumours in the GOBO tumour dataset. E Survival analysis showing distant metastasis-free survival (DMFS) in patients with breast cancer treated with tamoxifen (TAM). Patients were classified into 3 groups according to expression: high CITED1—orange, medium CITED1—light blue, low CITED1—blue. F Survival analysis for the cohort of ER+/LN− patients treated with tamoxifen (TAM). The number of patients in each group at diagnosis is indicated as n

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CITED1 protein expression in tamoxifen-treated tumours correlates with better patient outcome

Following surgery, tumours are processed using routine clinical pathology to assess grade, receptor expression and tumour subtype that informs treatment and prognosis. A biomarker that could be added to this standard analysis would be a valuable addition to current practice [12]. We validated the specificity of the CITED1 antibody previously [13, 14] and a TMA analysis served both to evaluate the feasibility of immunohistochemistry and to determine if the correlation seen with CITED1 mRNA and favourable prognosis was sustained. The TMA has been previously described and consists of approximately 400 breast tumours with long term follow up [15]. Using comparable parameters to the GOBO analysis (tamoxifen-treated/ER+) we found that relapse-free (RFS) and disease-specific survival (BCSS) was significantly better for patients with higher expression of CITED1 (Fig. 2a, b). Examining tamoxifen-treated, ER+/LN− yielded very few patients although the difference in survival was still apparent (Additional file 1: Fig. S1c). As with GOBO, no difference in survival was seen in the tamoxifen-untreated tumours (Additional file 1: Fig. S1d).

Fig. 2
figure 2

Correlation of CITED1 protein (TMA) and gene expression (TGCA) with prognosis following anti-endocrine treatment. For the TMA analysis, patients were classified into 2 groups either as having low (negative/faint: blue line) or high (moderate/strong: orange line) CITED1 protein expression following IHC; A Relapse-free survival (RFS) following breast cancer diagnosis in the ER+ , TAM-treated cohort. B Breast cancer specific survival (BCSS) following diagnosis in the ER+ , TAM-treated cohort. The number of patients in each group at diagnosis is indicated in brackets. TCGA was used for validation of differential CITED1 gene expression (high expression: orange line, low expression: blue line) and its association with prognosis; C Relapse-free survival in all ER+/LN− TCGA breast tumours following any anti-endocrine (AE) treatment. D Relapse-free survival in the ER+/LN− breast tumours treated with aromatase inhibitors (AI). The number of patients in each group at diagnosis is indicated in brackets

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A CITED1 anti-endocrine but not tamoxifen-specific effect is replicated in the TCGA ER+/LN- tumours

We used TCGA to try to validate our findings using more contemporary data. The TCGA breast tumours represent patients with 2009 as their median year of diagnosis (range: 1988–2013) and includes several anti-endocrine (AE) treatments (56% aromatase inhibitors (AI), 42% tamoxifen). We failed to see an association in tamoxifen-only treated patients (Additional file 1: Fig. S1e) but CITED1 expression was significantly associated with favourable outcome when we extended the analysis to include all AE, or AI-only treatment, specifically in the ER+/LN− cohort (Fig. 2c, d). This underscored the ability of CITED1 to risk-stratify patients receiving AE-treatment in a third independent dataset. One obvious difference between the datasets, which may in part explain the discrepancy, is that 71% of the TAM-treated tumours in the GOBO data were ER+/LN− at diagnosis, compared with only 35% of the TCGA TMA-treated tumours. Additionally, very few events occurred in the TCGA TAM-treated ER+/LN− cohort (Additional file 1: Fig. S1f). Furthermore, GOBO patients received a mean 2 years (range: 1–7) of treatment, as opposed to the current guideline recommendation of 5, with extension up to 10 years [16, 17]

If AI-treatment response is affected, this suggests a role for ERα-CITED1 complex formation even in an estrogen-depleted environment. The availability of CITED1 may function to oppose mechanisms of AI resistance that disrupt normal ERα-signalling or trigger ligand-independent activation. Induction of ERα adaptive hypersensitivity to residual estrogen by AE/AI treatment is thought to be mediated by various growth factor signalling pathways, which in turn can alter the genome-wide binding pattern of ERα via posttranslational modifications. This implies the availability of specific co-factors may be of paramount importance to hold aberrant ERα-signalling in check [18].

Selective CITED1-dependant AREG expression in MCF7 breast cancer cells

In the murine mammary gland, gene expression profiling of the CITED1-knockout mouse revealed dysregulation of several ERα-responsive genes [3]. A major driver of the process of pubertal mammary epithelial outgrowth, downstream of ERα-CITED1, is the EGFR-ligand, amphiregulin (AREG) [3, 19]. AREG is selectively overexpressed at the initiation of pubertal expansion and reduced in the CITED1-null mammary epithelium concomitant with retarded ductal outgrowth [3, 5]. Furthermore, AREG has been identified as a downstream effector of estrogen in ERα+ breast cancer and its expression is necessary for the growth of MCF7 xenografts [20]. We wanted to examine if ERα-AREG signalling is also CITED1-mediated in breast cancer cells and the relatively low levels of CITED1 in MCF7s compared to other luminal-types made them ideal for development of a CITED1-overexpression model (Figs. 1b, 3a, b). We found increased expression of AREG, mRNA and protein, in MCF7 cells stably overexpressing CITED1; both basal expression and transcriptional response to estrogen treatment (Fig. 3c, e, f). In agreement with our previous observations, manipulation of CITED1 levels did not simply lead to a general enhancement of transcription of estrogen responsive genes as evidence by the lack of effect on TGFα (Fig. 3d) [3]. These results serve as a proof-of-concept that selective signalling pathways driven by ERα-CITED1 in human breast cancer cells mirror those driving murine mammary gland outgrowth. AREG has been previously associated with AI-resistance in vitro due to growth inhibition escape by activation of EGFR [21]. We hypothesise however, that in luminal-type/ER+/LN− breast cancer, AREG expression downstream of ERα-CITED1 may be associated with an active ERα-coregulator complex that is more amenable to endocrine antagonism. We theorise that an active ERα-CITED1-AREG response acts a surrogate for intrinsic estrogen and AE sensitivity and that CITED1-mediated ERα-transcription is central to the AE response.

Fig. 3
figure 3

CITED1 overexpression alters expression of amphiregulin. A Characterization of CITED1 (28 kDa) and ERα (66KDa) protein expression in stable CITED1-overexpressing MCF7 cells compared to the empty vector (EV) control following passage (P) under selection (G418 antibiotic). β-tubulin (55 kDa) is used as a loading control. B CITED1 concentration, relative to a IPO8 control, in stable CITED1-overexpressing MCF7 cells (orange) compared to the empty vector control (blue) in response to estrogen stimulation (E2), tamoxifen (TAM) or simultaneous (E2/TAM) treatment. C, D Concentration of AREG and TGFα relative to a IPO8 control is shown in stable CITED1-overexpressing MCF7 cells (orange) compared to the stable empty vector control (blue). The response to estrogen stimulation (E2), tamoxifen (TAM) or simultaneous (E2/TAM) treatment is shown. E AREG protein expression in stable CITED1-overexpressing MCF7 cells compared to the empty vector (EV) control following passage under selection. The most intense band signal for AREG was just over the 25KDa marker which would likely correspond to the previously reported 26-28KDa cell surface form [30]. Total protein staining is used as a loading control. F AREG protein expression in stable CITED1-overexpressing MCF7 cells compared to the empty vector (EV) control in response to estrogen stimulation (E2), tamoxifen (TAM) or simultaneous (E2/TAM) treatment. Total protein staining is used as a loading control

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Targeting coregulators in disease has for many years been seen as attractive due to the potential advantage of altering specific transcriptional programmes while leaving other key signalling nodes intact[22,23,24,25,26]. The potential for future therapeutic targeting of CITED1 is further strengthened by recent developments of co-regulator interference/manipulation by peptides, such as a PELP-derived peptide targeting ERα signalling and a CITED2-derived peptide which interferes with HIF1α/p300 interaction [27, 28].

Limitations

  • Interrogation of newer, larger datasets and prospective studies will be required to evaluate if CITED1 can provide unique or additional diagnostic or prognostic information.

  • We have not examined the role of (neo-)adjuvant chemotherapy in the low-risk group identified by CITED1. Given the more widespread use of prediction tools to limit unnecessary chemotherapy (Oncotype DX, MammaPrint etc.) it is of interest to investigate if CITED1 expression may identify those patients that would benefit less from more aggressive, extended, or consecutive AE treatments.

  • We used the differential response of AREG and TGFα to confirm our hypothesis that CITED1 could affect ERα target genes in human breast cancer cells. A more extensive/transcriptome-wide analysis would provide the possibility to select for a gene set reflecting a prognostically favourable active ERα-CITED1-driven expression signature and expand the biomarker potential of our observation [29].

  • We have not explored and cannot accurately define, the functional significance of the AREG protein downstream of ERα-CITED1 more than to say its expression is increased. We detected increased levels of a ~ 28KDa form, likely representing a cell surface N-terminal proteolytic cleavage product. However, the functional significance of this is unclear as several cell-surface and soluble forms can result from the processing of the AREG pre-protein to the cleaved biologically active ligand [30]. Further investigation is outside the scope of this study but the importance of AREG protein cleavage has been addressed elsewhere [31, 32].

Methods

Cell lines

Cells were obtained from ATCC and grown in accordance with recommendations. Transfections were performed using Lipofectamine2000 and Opti-MEM reduced serum media (Life Technologies). CITED1 was overexpressed using a pCMV6 containing human CITED1, transcript isoform 1 (pCMV6-CITED1, Origene, #PS100001). An empty vector, CMV6 expression plasmid was used as the negative control (pCMV-EV, Origene, #RC202419). Stable cell lines were established through antibiotic selection using G418 1 mg/ml (A1720 Sigma-Aldrich).

Drug treatment

β-E2(#E8875, Sigma) was used at 10 nM–100 nM, TAM (#H7904, Sigma) was used at 1 µM. Before 3 h drug stimulation, cells were starved for 24 h in phenol-red free medium containing 5% charcoal-treated FBS (HyClone). Cells were lysed with BufferRLTplus (RNeasy®plus Mini Kit, Qiagen), supplemented with 1% β-mercaptoethanol for subsequent RNA isolation. Whole cell lysates for protein analysis were taken in parallel.

Immunoblotting and IHC

Anti-CITED1 (rabbit, #AB15096, Abcam); anti-ERα (rabbit, #8644, Cell Signalling); anti-ERα (mouse, Abcam), anti-β-Actin (AC-15), #A5441 from Sigma-Aldrich, anti-Amphiregulin (goat, R&D Systems #AF262). Lysates were resolved by SDS-PAGE (4–20% pre-cast, stain-free, Bio-Rad) and transferred to PVDF membranes. The membranes were blocked (5% non-fat milk/TBST) prior to incubation with diluted primary antibodies (2.5% non-fat milk/ TBST). The blots were probed with appropriate diluted secondary antibodies (5% non-fat milk/TBST) (Pierce Biotechnology). Membranes were cut according to size prior to antibody incubation but where proteins had similar molecular weights, blots were run separately (Additional file 2). Membranes were developed using ECL (Bio-Rad). The TMA was processed as previously described [15]; A 2-group combined CITED1 scoring system reflecting cytoplasmic staining fraction and staining intensity was used.

Data analysis and statistics

Data analysis was performed using R v 4.2.1 with relevant packages; see https://github.com/CoregulomicsUnit/CITED1_BC for further details on data extraction and processing. Briefly, gene expression and clinical data from ProjectID: TCGA-BRCA were downloaded from https://portal.gdc.cancer.gov, accessed using TCGABiolinks [33]. Log transformed, batch corrected (using TCGAbatch_Correction function) gene expression data log2(TPM + 0.1) was used for survival analysis [34]. TCGA-BRCA patients were stratified into two groups based on CITED1 expression (cut-off: median). The same survival package was used for analysis of both TMA and TCGA cohorts; p-values were determined using the logrank test [35].

Droplet digital PCR

RNA was isolated using Qiagen RNeasy Plus mini-kit and quantified using Nanodrop (ThermoScientific). cDNA was generated using ‘iScript Advanced cDNA synthesis for RT-qPCR’ (Bio-Rad). Bio-Rad’s ‘ddPCR Supermix for Probes’ was used with predesigned TaqMan assays (Applied Biosystems) consisting of specific primers and FAM/VIC labelled probes for CITED1 (#Hs00918445_g1), IPO8 (#Hs00183533_m1), AREG (Hs00950669_m1), TGFα (Hs00608187_m1); run on the Bio-Rad QX200 instrument. A manual cut-off for positive droplets was selected using the Bio-Rad QuantaSoft™ data analysis suite to calculate the copies/µl of each transcript relative to the internal IPO8 control.

Availability of data and materials

The cell lines, plasmids, antibodies and drugs used in experiments were commercially purchased. GOBO data is accessible at http://co.bmc.lu.se/gobo/gsa_cellines.pl. TCGA data is available at https://portal.gdc.cancer.gov. The TMA data has been previously described [15] R-code used in the various analyses can be found at https://github.com/CoregulomicsUnit/CITED1_BC.

Abbreviations

P300:

Previously EP300

CBP:

Previously CREB-binding protein

ER:

Estrogen receptor

ERα:

Estrogen receptor alpha

ESR1:

Estrogen receptor alpha gene

LN:

Lymph node

TGFα:

Transforming growth factor alpha

AREG:

Amphiregulin

TAM:

Tamoxifen

TMA:

Tissue microarray

IHC:

Immunohistochemistry

GOBO:

Gene Expression Based Outcome for Breast Cancer Online

TCGA:

The Cancer Genome Atlas

AE:

Anti-endocrine

AI:

Aromatase inhibitor

References

  1. Dasgupta S, Lonard DM, O’Malley BW. Nuclear receptor coactivators: master regulators of human health and disease. Annu Rev Med. 2013;65:279–92.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Goodman RH, Smolik S. CBP/p300 in cell growth, transformation, and development. Gene Dev. 2000;14:1553–77.

    Article  CAS  PubMed  Google Scholar 

  3. Howlin J, McBryan J, Napoletano S, Lambe T, McArdle E, Shioda T, et al. CITED1 homozygous null mice display aberrant pubertal mammary ductal morphogenesis. Oncogene. 2006;25:1532–42.

    Article  CAS  PubMed  Google Scholar 

  4. Yahata T, Shao W, Endoh H, Hur J, Coser KR, Sun H, et al. Selective coactivation of estrogen-dependent transcription by CITED1 CBP/p300-binding protein. Gene Dev. 2001;15:2598–612.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. McBryan J, Howlin J, Kenny PA, Shioda T, Martin F. ERα–CITED1 co-regulated genes expressed during pubertal mammary gland development: implications for breast cancer prognosis. Oncogene. 2007;26:6406–19.

    Article  CAS  PubMed  Google Scholar 

  6. Ringnér M, Fredlund E, Häkkinen J, Borg Å, Staaf J. GOBO: Gene Expression-Based Outcome for Breast Cancer Online. PLoS ONE. 2011;6: e17911.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Perou CM, Sørlie T, Eisen MB, van de Rijn M, Jeffrey SS, Rees CA, et al. Molecular portraits of human breast tumours. Nature. 2000;406:747–52.

    Article  CAS  PubMed  Google Scholar 

  8. Johnson KS, Conant EF, Soo MS. Molecular subtypes of breast cancer: a review for breast radiologists. J Breast Imag. 2020;3:12–24.

    Article  Google Scholar 

  9. van de Vijver MJ, He YD, van’t Veer LJ, Dai H, Hart AAM, Voskuil DW, et al. A gene-expression signature as a predictor of survival in breast cancer. New Engl J Med. 2002;347:1999–2009.

    Article  PubMed  Google Scholar 

  10. Richardson AL, Wang ZC, Nicolo AD, Lu X, Brown M, Miron A, et al. X chromosomal abnormalities in basal-like human breast cancer. Cancer Cell. 2006;9:121–32.

    Article  CAS  PubMed  Google Scholar 

  11. Pan H, Gray R, Braybrooke J, Davies C, Taylor C, McGale P, et al. 20-Year risks of breast-cancer recurrence after stopping endocrine therapy at 5 years. New Engl J Med. 2017;377:1836–46.

    Article  PubMed  Google Scholar 

  12. Andre F, Ismaila N, Allison KH, Barlow WE, Collyar DE, Damodaran S, et al. Biomarkers for adjuvant endocrine and chemotherapy in early-stage breast cancer: ASCO guideline update. J Clin Oncol. 2022. https://doi.org/10.1200/JCO.22.00069.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Lettiero B, Lauss M, Borg A, Gruvberger-Saal S, Jönsson GB, Howlin J. CITED1 is a novel binding partner of MITF that influences the MITF-directed transcriptional profile in melanoma. Peerj Prepr. 2017;5:e3146v1.

    Google Scholar 

  14. Howlin J, Cirenajwis H, Lettiero B, Staaf J, Lauss M, Saal L, et al. Loss of CITED1, an MITF regulator, drives a phenotype switch in vitro and can predict clinical outcome in primary melanoma tumours. PeerJ. 2015;3: e788.

    Article  PubMed  PubMed Central  Google Scholar 

  15. O’Leary PC, Penny SA, Dolan RT, Kelly CM, Madden SF, Rexhepaj E, et al. Systematic antibody generation and validation via tissue microarray technology leading to identification of a novel protein prognostic panel in breast cancer. BMC Cancer. 2013;13:175–175.

    Article  PubMed  Google Scholar 

  16. Burstein HJ, Temin S, Anderson H, Buchholz TA, Davidson NE, Gelmon KE, et al. Adjuvant endocrine therapy for women with hormone receptor-positive breast cancer: american society of clinical oncology clinical practice guideline focused update. J Clin Oncol. 2014;32:2255–69.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Burstein HJ, Lacchetti C, Anderson H, Buchholz TA, Davidson NE, Gelmon KA, et al. Adjuvant endocrine therapy for women with hormone receptor-positive breast cancer: asco clinical practice guideline focused update. J Clin Oncol. 2019;37:423–38.

    Article  CAS  PubMed  Google Scholar 

  18. Augusto TV, Correia-da-Silva G, Rodrigues CMP, Teixeira N, Amaral C. Acquired resistance to aromatase inhibitors: where we stand! Endocr-relat Cancer. 2018;25:R283-301.

    Article  CAS  PubMed  Google Scholar 

  19. McBryan J, Howlin J, Napoletano S, Martin F. Amphiregulin: role in mammary gland development and breast cancer. J Mammary Gland Biol. 2008;13:159–69.

    Article  Google Scholar 

  20. Peterson EA, Jenkins EC, Lofgren KA, Chandiramani N, Liu H, Aranda E, et al. Amphiregulin is a critical downstream effector of estrogen signaling in ERα-positive breast cancer. Cancer Res. 2015;75:4830–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Wang X, Masri S, Phung S, Chen S. The role of amphiregulin in exemestane-resistant breast cancer cells: evidence of an autocrine loop. Cancer Res. 2008;68:2259–65.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Gronemeyer H, Gustafsson J-Å, Laudet V. Principles for modulation of the nuclear receptor superfamily. Nat Rev Drug Discov. 2004;3:950–64.

    Article  CAS  PubMed  Google Scholar 

  23. Smith CL, O’Malley BW. Coregulator function: a key to understanding tissue specificity of selective receptor modulators. Endocr Rev. 2004;25:45–71.

    Article  CAS  PubMed  Google Scholar 

  24. Lonard DM, O’Malley BW. Nuclear receptor coregulators: modulators of pathology and therapeutic targets. Nat Rev Endocrinol. 2012;8:598–604.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Waddell AR, Huang H, Liao D. CBP/p300: critical co-activators for nuclear steroid hormone receptors and emerging therapeutic targets in prostate and breast cancers. Cancers. 2021;13:2872.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Waddell A, Mahmud I, Ding H, Huo Z, Liao D. Pharmacological inhibition of CBP/p300 blocks estrogen receptor alpha (ERα) function through suppressing enhancer H3K27 acetylation in luminal breast cancer. Cancers. 2021;13:2799.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Altwegg KA, Viswanadhapalli S, Mann M, Chakravarty D, Krishnan S, Liu Z, et al. A first-in-class inhibitor of ER coregulator PELP1 targets ER+ breast cancer. Cancer Res. 2022;82:3830–44.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Qin X, Chen H, Tu L, Ma Y, Liu N, Zhang H, et al. Potent inhibition of HIF1α and p300 interaction by a constrained peptide derived from CITED2. J Med Chem. 2021;64:13693–703.

    Article  CAS  PubMed  Google Scholar 

  29. Vieira AF, Schmitt F. An update on breast cancer multigene prognostic tests—emergent clinical biomarkers. Front Med. 2018;5:248.

    Article  Google Scholar 

  30. Brown CL, Meise KS, Plowman GD, Coffey RJ, Dempsey PJ. Cell surface ectodomain cleavage of human amphiregulin precursor is sensitive to a metalloprotease inhibitor Release Of A Predominant N-Glycosylated 43-kDa soluble form*. J Biol Chem. 1998;273:17258–68.

    Article  CAS  PubMed  Google Scholar 

  31. Sternlicht MD, Sunnarborg SW. The ADAM17–amphiregulin–EGFR axis in mammary development and cancer. J Mammary Gland Biol. 2008;13:181–94.

    Article  Google Scholar 

  32. Lofgren KA, Sreekumar S, Jenkins EC Jr, Ernzen KJ, Kenny PA. Anti-tumor efficacy of an MMAE-conjugated antibody targeting cell surface TACE/ADAM17-cleaved Amphiregulin in breast cancer. Antib Ther. 2021;4:252–61.

    CAS  PubMed  PubMed Central  Google Scholar 

  33. Colaprico A, Silva TC, Olsen C, Garofano L, Cava C, Garolini D, et al. TCGAbiolinks: an R/Bioconductor package for integrative analysis of TCGA data. Nucleic Acids Res. 2016;44:e71–e71.

    Article  PubMed  Google Scholar 

  34. Mounir M, Lucchetta M, Silva TC, Olsen C, Bontempi G, Chen X, et al. New functionalities in the TCGAbiolinks package for the study and integration of cancer data from GDC and GTEx. Plos Comput Biol. 2019;15: e1006701.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Therneau TM. A Package for Survival Analysis in R. 2022. https://CRAN.R-project.org/package=survival.

  36. Rae JM, Creighton CJ, Meck JM, Haddad BR, Johnson MD. MDA-MB-435 cells are derived from M14 Melanoma cells––a loss for breast cancer, but a boon for melanoma research. Breast Cancer Res Tr. 2007;104:13–9.

    Article  Google Scholar 

Download references

Acknowledgements

The support of Prof Karin Jirström, Prof. Göran Jönsson and Prof. Åke Borg, Lund University Sweden in the initial stages of the project are gratefully acknowledged.

Funding

Open access funding provided by Lund University. JH: Mrs. Berta Kamprad Foundation. LHS: European Commission Horizon 2020 MSCA-COFUND-2016 754299 CanFaster programme; Mrs. Berta Kamprad Foundation; Swedish Research Council; Swedish Cancer Society; Governmental Funding of Clinical Research within National Health Service; Lund University Medical Faculty HD: European Commission Horizon 2020 MSCA-COFUND-2016 754299 CanFaster programme. No funding body had any role the design of the study, collection, analysis, interpretation of data, or in writing the manuscript.

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Author notes

  1. Malin Dahlgren and Barbara Lettiero contributed equally to this work.

Authors and Affiliations

  1. Translational Oncogenomics, Faculty of Medicine, Department of Clinical Sciences Lund and Lund University Cancer Center, Lund University, Lund, Sweden

    Malin Dahlgren, Barbara Lettiero, Hina Dalal, Kira Mårtensson, Sofia K. Gruvberger-Saal, Lao H. Saal & Jillian Howlin

  2. Therapeutic Pathology, Faculty of Medicine, Department of Clinical Sciences Lund and Lund University Cancer Center, Lund University, Lund, Sweden

    Alexander Gaber & Björn Nodin

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  1. Malin Dahlgren
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BL and MD contributed equally. BL cultured and treated cell lines, performed western blotting, tested ddPCR assays, was responsible for sample collection and assisted with the development of stable overexpressing MCF7s. MD cultured and treated cell lines, performed transfections, western blotting, ddPCR assays and contributed to experimental design, data analysis, figure generation and writing. HD assisted with bioinformatic data analysis of TCGA and TMA data. KM was responsible for drug testing cell lines in the initial project phase. BN, AG were responsible for the TMA, subsequent histological staining, antibody testing and scoring. LHS and SKGS provided essential materials, contributed to experimental design and data analysis. JH conceived of the project, designed the experiments, executed the experiments, developed the stable cells lines, analysed the data, assembled the figures, and wrote the manuscript. All authors read and approved the final manuscript.

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Correspondence to Jillian Howlin.

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Ethics approval and consent to participate

The TMA has been previously described and consists of consecutive invasive breast cancer cases diagnosed at the Department of Pathology, Malmö University Hospital, Malmö, Sweden between 1988 and 1992[15]. Ethical permission was obtained from the Local Ethics Committee at Lund University (Dnr 613/02). TCGA is publicly available data and information on the ethics and policies of data usage, including informed content can be found here https://www.cancer.gov/ccg/research/genome-sequencing/tcga/history/ethics-policies.

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The authors declare that they have no competing interests.

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Supplementary Information

Additional file 1: Figure S1.

A Expression of the estrogen receptor gene, ESR1, does not determine outcome (DMFS) in the subset of tamoxifen (TAM) treated ER + /LN- tumours in the GOBO dataset. B CITED1 expression in the cohort of untreated tumours (No TAM) in the GOBO dataset is not associated with better prognosis. Patients are classified into 3 groups according to expression (high CITED1—orange, medium CITED1—light blue, low CITED1—blue) and the number of patients in each group at diagnosis is indicated as n. C CITED1 protein expression is not associated with survival in untreated (No TAM) tumours in the TMA dataset. D CITED1 protein expression is associated with increased survival in the ER+/LN−tamoxifen (TAM) treated cohort of TMA tumours. Patients are classified into 2 groups either as having low (negative/faint: blue line) or high (moderate/strong: orange line) CITED1 protein expression following IHC and the number of patients in each group at diagnosis is indicated in brackets. E CITED1 expression in TCGA breast cancer dataset is not associated with increased relapse-free survival in tamoxifen (TAM) treated tumours. F CITED1 expression in TCGA breast cancer dataset is not associated with increased relapse-free survival in ER+/LN− tamoxifen (TAM) treated tumours. Patients are classified into 2 groups (high expression: orange line, low expression: blue line) and the number of patients in each group at diagnosis is indicated in brackets.

Additional file 2: Figure S2.

Extended and uncropped blot images, ladder markers and total protein controls. A Uncropped images of the CITED1 blots in Fig. 1b showing the edges of the X-ray film. B The molecular weight markers routinely used in the lab and the standard cutting pattern of the membranes prior to incubation with antibodies. C Extended and overexposed images of the blots in Fig. 3a. Due to the strong ECL signal even long exposure did not reveal other bands. The membrane edges are visible only with extreme over exposure for CITED1, ER-α and β-tubulin. An additional protein loading control is provided. Note that only the first 4 lanes are shown in Fig. 3a. D Extended image of the AREG blot in Fig. 3e with ladder bands visible. An extended protein loading control is also shown with visible ladder markers. E Extended image of the AREG and ER-α blots in Fig. 3f. For ER-α, a long exposure is provided as well as an image of the membrane whole molecular weight markers to illustrate the size of the cut membrane. The molecular weight ladder bands are visible on the AREG blot. An extended protein loading control is also shown with visible ladder markers.

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Dahlgren, M., Lettiero, B., Dalal, H. et al. CITED1 as a marker of favourable outcome in anti-endocrine treated, estrogen-receptor positive, lymph-node negative breast cancer. BMC Res Notes 16, 105 (2023). https://doi.org/10.1186/s13104-023-06376-1

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Keywords

BMC Research Notes

ISSN: 1756-0500

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