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The combined expression of solute carriers is associated with a poor prognosis in highly proliferative ER+ breast cancer

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Abstract

Purpose

Breast cancer (BC) is a heterogeneous disease characterised by variant biology, metabolic activity, and patient outcome. Glutamine availability for growth and progression of BC is important in several BC subtypes. This study aimed to evaluate the biological and prognostic role of the combined expression of key glutamine transporters, SLC1A5, SLC7A5, and SLC3A2 in BC with emphasis on the intrinsic molecular subtypes.

Methods

SLC1A5, SLC7A5, and SLC3A2 were assessed at the protein level, using immunohistochemistry on tissue microarrays constructed from a large well-characterised BC cohort (n = 2248). Patients were stratified into accredited clusters based on protein expression and correlated with clinicopathological parameters, molecular subtypes, and patient outcome.

Results

Clustering analysis of SLC1A5, SLC7A5, and SLC3A2 identified three clusters low SLCs (SLC1A5−/SLC7A5−/SLC3A2−), high SLC1A5 (SLC1A5+/SLC7A5−/SLC3A2−), and high SLCs (SLC1A5+/SLC7A5+/SLC3A2+) which had distinct correlations to known prognostic factors and patient outcome (p < 0.001). The key regulator of tumour cell metabolism, c-MYC, was significantly expressed in tumours in the high SLC cluster (p < 0.001). When different BC subtypes were considered, the association with the poor outcome was observed in the ER+ high proliferation/luminal B class only (p = 0.003). In multivariate analysis, SLC clusters were independent risk factor for shorter BC-specific survival (p = 0.001).

Conclusion

The co-operative expression of SLC1A5, SLC7A5, and SLC3A2 appears to play a role in the aggressive subclass of ER+ high proliferation/luminal BC, driven by c-MYC, and therefore have the potential to act as therapeutic targets, particularly in synergism.

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References

  1. Hanahan D, Weinberg RA (2011) Hallmarks of cancer: the next generation. Cell 144(5):646–674

    Article  CAS  Google Scholar 

  2. Bar-Peled L, Sabatini DM (2014) Regulation of mTORC1 by amino acids. Trends Cell Biol 24(7):400–406. https://doi.org/10.1016/j.tcb.2014.03.003

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. DeBerardinis RJ, Cheng T (2010) Q’s next: the diverse functions of glutamine in metabolism, cell biology and cancer. Oncogene 29(3):313–324. https://doi.org/10.1038/onc.2009.358

    Article  CAS  Google Scholar 

  4. Wise DR, Thompson CB (2010) Glutamine addiction: a new therapeutic target in cancer. Trends Biochem Sci 35(8):427–433. https://doi.org/10.1016/j.tibs.2010.05.003

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Craze ML, Cheung H, Jewa N, Coimbra ND, Soria D, El-Ansari R, Aleskandarany MA, Cheng KW, Diez-Rodriguez M, Nolan CC (2017) MYC regulation of Glutamine-Proline regulatory axis is key in Luminal B breast cancer. Br J Cancer. https://doi.org/10.1038/bjc.2017.387

    Article  PubMed  PubMed Central  Google Scholar 

  6. Kim S, Kim DH, Jung WH, Koo JS (2013) Expression of glutamine metabolism-related proteins according to molecular subtype of breast cancer. Endocr Relat Cancer 20(3):339–348. https://doi.org/10.1530/erc-12-0398

    Article  CAS  PubMed  Google Scholar 

  7. van Geldermalsen M, Wang Q, Nagarajah R, Marshall AD, Thoeng A, Gao D, Ritchie W, Feng Y, Bailey CG, Deng N, Harvey K, Beith JM, Selinger CI, O’Toole SA, Rasko JE, Holst J (2016) ASCT2/SLC1A5 controls glutamine uptake and tumour growth in triple-negative basal-like breast cancer. Oncogene 35(24):3201–3208. https://doi.org/10.1038/onc.2015.381

    Article  CAS  PubMed  Google Scholar 

  8. Hayashi K, Jutabha P, Endou H, Anzai N (2012) c-Myc is crucial for the expression of LAT1 in MIA Paca-2 human pancreatic cancer cells. Oncol Rep 28(3):862–866. https://doi.org/10.3892/or.2012.1878

    Article  CAS  PubMed  Google Scholar 

  9. Wise DR, DeBerardinis RJ, Mancuso A, Sayed N, Zhang XY, Pfeiffer HK, Nissim I, Daikhin E, Yudkoff M, McMahon SB, Thompson CB (2008) Myc regulates a transcriptional program that stimulates mitochondrial glutaminolysis and leads to glutamine addiction. Proc Natl Acad Sci USA 105(48):18782–18787. https://doi.org/10.1073/pnas.0810199105

    Article  PubMed  Google Scholar 

  10. Kanai Y, Segawa H, Miyamoto K, Uchino H, Takeda E, Endou H (1998) Expression cloning and characterization of a transporter for large neutral amino acids activated by the heavy chain of 4F2 antigen (CD98). J Biol Chem 273(37):23629–23632

    Article  CAS  Google Scholar 

  11. Jewell JL, Kim YC, Russell RC, Yu FX, Park HW, Plouffe SW, Tagliabracci VS, Guan KL (2015) Metabolism. Differential regulation of mTORC1 by leucine and glutamine. Science 347(6218):194–198. https://doi.org/10.1126/science.1259472

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Kimball SR (2001) Regulation of translation initiation by amino acids in eukaryotic cells. Prog Mol Subcell Biol 26:155–184

    Article  CAS  Google Scholar 

  13. Yanagida O, Kanai Y, Chairoungdua A, Kim DK, Segawa H, Nii T, Cha SH, Matsuo H, Fukushima J, Fukasawa Y, Tani Y, Taketani Y, Uchino H, Kim JY, Inatomi J, Okayasu I, Miyamoto K, Takeda E, Goya T, Endou H (2001) Human L-type amino acid transporter 1 (LAT1): characterization of function and expression in tumor cell lines. Biochim Biophys Acta 1514(2):291–302

    Article  CAS  Google Scholar 

  14. El Ansari R, Craze ML, Diez-Rodriguez M, Nolan CC, Ellis IO, Rakha EA, Green AR (2018) The multifunctional solute carrier 3A2 (SLC3A2) confers a poor prognosis in the highly proliferative breast cancer subtypes. Br J Cancer. https://doi.org/10.1038/s41416-018-0038-5

    Article  PubMed  PubMed Central  Google Scholar 

  15. El Ansari R, Craze ML, Miligy I, Diez-Rodriguez M, Nolan CC, Ellis IO, Rakha EA, Green AR (2018) The amino acid transporter SLC7A5 confers a poor prognosis in the highly proliferative breast cancer subtypes and is a key therapeutic target in luminal B tumours. Breast Cancer Res 20(1):21. https://doi.org/10.1186/s13058-018-0946-6

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Nakanishi K, Ogata S, Matsuo H, Kanai Y, Endou H, Hiroi S, Tominaga S, Aida S, Kasamatsu H, Kawai T (2007) Expression of LAT1 predicts risk of progression of transitional cell carcinoma of the upper urinary tract. Virchows Arch Int J Pathol 451(3):681–690. https://doi.org/10.1007/s00428-007-0457-9

    Article  CAS  Google Scholar 

  17. Kaira K, Oriuchi N, Imai H, Shimizu K, Yanagitani N, Sunaga N, Hisada T, Ishizuka T, Kanai Y, Endou H, Nakajima T, Mori M (2009) Prognostic significance of L-type amino acid transporter 1 (LAT1) and 4F2 heavy chain (CD98) expression in early stage squamous cell carcinoma of the lung. Cancer Sci 100(2):248–254. https://doi.org/10.1111/j.1349-7006.2008.01029.x

    Article  CAS  PubMed  Google Scholar 

  18. Kaira K, Oriuchi N, Imai H, Shimizu K, Yanagitani N, Sunaga N, Hisada T, Ishizuka T, Kanai Y, Nakajima T, Mori M (2009) Prognostic significance of L-type amino acid transporter 1 (LAT1) and 4F2 heavy chain (CD98) expression in stage I pulmonary adenocarcinoma. Lung Cancer (Amst Neth) 66(1):120–126. https://doi.org/10.1016/j.lungcan.2008.12.015

    Article  Google Scholar 

  19. Bhutia YD, Babu E, Ramachandran S, Ganapathy V (2015) Amino acid transporters in cancer and their relevance to “glutamine addiction”: novel targets for the design of a new class of anticancer drugs. Cancer Res 75(9):1782–1788. https://doi.org/10.1158/0008-5472.can-14-3745

    Article  CAS  PubMed  Google Scholar 

  20. Fuchs BC, Finger RE, Onan MC, Bode BP (2007) ASCT2 silencing regulates mammalian target-of-rapamycin growth and survival signaling in human hepatoma cells. Am J Physiol Cell Physiol 293(1):C55–C63. https://doi.org/10.1152/ajpcell.00330.2006

    Article  CAS  PubMed  Google Scholar 

  21. Li R, Younes M, Frolov A, Wheeler TM, Scardino P, Ohori M, Ayala G (2003) Expression of neutral amino acid transporter ASCT2 in human prostate. Anticancer Res 23(4):3413–3418

    CAS  PubMed  Google Scholar 

  22. Witte D, Ali N, Carlson N, Younes M (2002) Overexpression of the neutral amino acid transporter ASCT2 in human colorectal adenocarcinoma. Anticancer Res 22(5):2555–2557

    CAS  PubMed  Google Scholar 

  23. Honjo H, Kaira K, Miyazaki T, Yokobori T, Kanai Y, Nagamori S, Oyama T, Asao T, Kuwano H (2016) Clinicopathological significance of LAT1 and ASCT2 in patients with surgically resected esophageal squamous cell carcinoma. J Surg Oncol 113(4):381–389. https://doi.org/10.1002/jso.24160

    Article  CAS  PubMed  Google Scholar 

  24. Nikkuni O, Kaira K, Toyoda M, Shino M, Sakakura K, Takahashi K, Tominaga H, Oriuchi N, Suzuki M, Iijima M, Asao T, Nishiyama M, Nagamori S, Kanai Y, Oyama T, Chikamatsu K (2015) Expression of amino acid transporters (LAT1 and ASCT2) in patients with Stage III/IV laryngeal squamous cell carcinoma. Pathol Oncol Res 21(4):1175–1181. https://doi.org/10.1007/s12253-015-9954-3

    Article  CAS  PubMed  Google Scholar 

  25. Abd El-Rehim DM, Ball G, Pinder SE, Rakha E, Paish C, Robertson JF, Macmillan D, Blamey RW, Ellis IO (2005) High-throughput protein expression analysis using tissue microarray technology of a large well-characterised series identifies biologically distinct classes of breast cancer confirming recent cDNA expression analyses. Int J Cancer 116(3):340–350. https://doi.org/10.1002/ijc.21004

    Article  CAS  PubMed  Google Scholar 

  26. McCarty KS Jr, McCarty KS, Sr (1984) Histochemical approaches to steroid receptor analyses. Semin Diagn Pathol 1(4):297–308

    PubMed  Google Scholar 

  27. Green AR, Aleskandarany MA, Agarwal D, Elsheikh S, Nolan CC, Diez-Rodriguez M, Macmillan RD, Ball GR, Caldas C, Madhusudan S, Ellis IO, Rakha EA (2016) MYC functions are specific in biological subtypes of breast cancer and confers resistance to endocrine therapy in luminal tumours. Br J Cancer 114(8):917–928. https://doi.org/10.1038/bjc.2016.46

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Wolff AC, Hammond ME, Hicks DG, Dowsett M, McShane LM, Allison KH, Allred DC, Bartlett JM, Bilous M, Fitzgibbons P, Hanna W, Jenkins RB, Mangu PB, Paik S, Perez EA, Press MF, Spears PA, Vance GH, Viale G, Hayes DF (2013) Recommendations for human epidermal growth factor receptor 2 testing in breast cancer: American Society of Clinical Oncology/College of American Pathologists clinical practice guideline update. J Clin Oncol Off J Am Soc Clin Oncol 31(31):3997–4013. https://doi.org/10.1200/jco.2013.50.9984

    Article  Google Scholar 

  29. Elston CW, Ellis IO (2002) Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up. C. W. Elston & I. O. Ellis. Histopathology 1991; 19;403–410. Histopathology 41(3a):151–152, discussion 152–153

  30. Senkus E, Kyriakides S, Ohno S, Penault-Llorca F, Poortmans P, Rutgers E, Zackrisson S, Cardoso F (2015) Primary breast cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann Oncol Off J Eur Soc Med Oncol 26(Suppl 5):v8–30. https://doi.org/10.1093/annonc/mdv298

    Article  Google Scholar 

  31. Soria D, Garibaldi JM, Ambrogi F, Green AR, Powe D, Rakha E, Macmillan RD, Blamey RW, Ball G, Lisboa PJ, Etchells TA, Boracchi P, Biganzoli E, Ellis IO (2010) A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients. Comput Biol Med 40(3):318–330. https://doi.org/10.1016/j.compbiomed.2010.01.003

    Article  CAS  PubMed  Google Scholar 

  32. Edwards J (1991) A users guide to principal components. Wiley series in probability and mathematical statistics. Wiley, New York

    Google Scholar 

  33. McShane LM, Altman DG, Sauerbrei W, Taube SE, Gion M, Clark GM (2005) REporting recommendations for tumour MARKer prognostic studies (REMARK). Br J Cancer 93(4):387–391. https://doi.org/10.1038/sj.bjc.6602678

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Perou CM, Sorlie T, Eisen MB, van de Rijn M, Jeffrey SS, Rees CA, Pollack JR, Ross DT, Johnsen H, Akslen LA, Fluge O, Pergamenschikov A, Williams C, Zhu SX, Lonning PE, Borresen-Dale AL, Brown PO, Botstein D (2000) Molecular portraits of human breast tumours. Nature 406(6797):747–752. https://doi.org/10.1038/35021093

    Article  CAS  Google Scholar 

  35. Dawson SJ, Rueda OM, Aparicio S, Caldas C (2013) A new genome-driven integrated classification of breast cancer and its implications. EMBO J 32(5):617–628. https://doi.org/10.1038/emboj.2013.19

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Rakha EA, El-Sayed ME, Green AR, Paish EC, Powe DG, Gee J, Nicholson RI, Lee AH, Robertson JF, Ellis IO (2007) Biologic and clinical characteristics of breast cancer with single hormone receptor positive phenotype. J Clin Oncol Off J Am Soc Clin Oncol 25(30):4772–4778. https://doi.org/10.1200/jco.2007.12.2747

    Article  Google Scholar 

  37. Makretsov NA, Huntsman DG, Nielsen TO, Yorida E, Peacock M, Cheang MC, Dunn SE, Hayes M, van de Rijn M, Bajdik C, Gilks CB (2004) Hierarchical clustering analysis of tissue microarray immunostaining data identifies prognostically significant groups of breast carcinoma. Clin Cancer Res Off J Am Assoc Cancer Res 10(18 Pt 1):6143–6151. https://doi.org/10.1158/1078-0432.ccr-04-0429

    Article  CAS  Google Scholar 

  38. Tsutsui S, Ohno S, Murakami S, Kataoka A, Kinoshita J, Hachitanda Y (2003) Prognostic significance of the coexpression of p53 protein and c-erbB2 in breast cancer. Am J Surg 185(2):165–167

    Article  CAS  Google Scholar 

  39. Januchowski R, Zawierucha P, Andrzejewska M, Rucinski M, Zabel M (2013) Microarray-based detection and expression analysis of ABC and SLC transporters in drug-resistant ovarian cancer cell lines. Biomed Pharmacother 67(3):240–245. https://doi.org/10.1016/j.biopha.2012.11.011

    Article  CAS  PubMed  Google Scholar 

  40. Furuya M, Horiguchi J, Nakajima H, Kanai Y, Oyama T (2012) Correlation of L-type amino acid transporter 1 and CD98 expression with triple negative breast cancer prognosis. Cancer Sci 103(2):382–389. https://doi.org/10.1111/j.1349-7006.2011.02151.x

    Article  CAS  PubMed  Google Scholar 

  41. Sogaard M, Farkas DK, Ehrenstein V, Jorgensen JO, Dekkers OM, Sorensen HT (2016) Hypothyroidism and hyperthyroidism and breast cancer risk: a nationwide cohort study. Eur J Endocrinol 174(4):409–414. https://doi.org/10.1530/eje-15-0989

    Article  CAS  PubMed  Google Scholar 

  42. Poettler M, Unseld M, Braemswig K, Haitel A, Zielinski CC, Prager GW (2013) CD98hc (SLC3A2) drives integrin-dependent renal cancer cell behavior. Mol Cancer 12:169. https://doi.org/10.1186/1476-4598-12-169

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Kaira K, Oriuchi N, Imai H, Shimizu K, Yanagitani N, Sunaga N, Hisada T, Ishizuka T, Kanai Y, Endou H, Nakajima T, Mori M (2009) L-type amino acid transporter 1 (LAT1) is frequently expressed in thymic carcinomas but is absent in thymomas. J Surg Oncol 99(7):433–438. https://doi.org/10.1002/jso.21277

    Article  PubMed  Google Scholar 

  44. Toyoda M, Kaira K, Ohshima Y, Ishioka NS, Shino M, Sakakura K, Takayasu Y, Takahashi K, Tominaga H, Oriuchi N, Nagamori S, Kanai Y, Oyama T, Chikamatsu K (2014) Prognostic significance of amino-acid transporter expression (LAT1, ASCT2, and xCT) in surgically resected tongue cancer. Br J Cancer 110(10):2506–2513. https://doi.org/10.1038/bjc.2014.178

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Kaira K, Oriuchi N, Imai H, Shimizu K, Yanagitani N, Sunaga N, Hisada T, Kawashima O, Iijima H, Ishizuka T, Kanai Y, Endou H, Nakajima T, Mori M (2008) Expression of L-type amino acid transporter 1 (LAT1) in neuroendocrine tumors of the lung. Pathol Res Pract 204(8):553–561. https://doi.org/10.1016/j.prp.2008.02.003

    Article  PubMed  Google Scholar 

  46. Kaira K, Oriuchi N, Imai H, Shimizu K, Yanagitani N, Sunaga N, Hisada T, Kawashima O, Kamide Y, Ishizuka T, Kanai Y, Nakajima T, Mori M (2010) Prognostic significance of L-type amino acid transporter 1 (LAT1) and 4F2 heavy chain (CD98) expression in surgically resectable stage III non-small cell lung cancer. Exp Ther Med 1(5):799–808. https://doi.org/10.3892/etm.2010.117

    Article  PubMed  PubMed Central  Google Scholar 

  47. El Ansari R, McIntyre A, Craze ML, Ellis IO, Rakha EA, Green AR (2018) Altered glutamine metabolism in breast cancer; subtype dependencies and alternative adaptations. Histopathology 72(2):183–190. https://doi.org/10.1111/his.13334

    Article  PubMed  Google Scholar 

  48. Gao P, Tchernyshyov I, Chang TC, Lee YS, Kita K, Ochi T, Zeller KI, De Marzo AM, Van Eyk JE, Mendell JT, Dang CV (2009) c-Myc suppression of miR-23a/b enhances mitochondrial glutaminase expression and glutamine metabolism. Nature 458(7239):762–765. https://doi.org/10.1038/nature07823

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Adams CM (2007) Role of the transcription factor ATF4 in the anabolic actions of insulin and the anti-anabolic actions of glucocorticoids. J Biol Chem 282(23):16744–16753. https://doi.org/10.1074/jbc.M610510200

    Article  CAS  PubMed  Google Scholar 

  50. Qing G, Li B, Vu A, Skuli N, Walton ZE, Liu X, Mayes PA, Wise DR, Thompson CB, Maris JM, Hogarty MD, Simon MC (2012) ATF4 regulates MYC-mediated neuroblastoma cell death upon glutamine deprivation. Cancer Cell 22(5):631–644. https://doi.org/10.1016/j.ccr.2012.09.021

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. Yue M, Jiang J, Gao P, Liu H, Qing G (2017) Oncogenic MYC activates a feedforward regulatory loop promoting essential amino acid metabolism and tumorigenesis. Cell Rep 21(13):3819–3832. https://doi.org/10.1016/j.celrep.2017.12.002

    Article  CAS  PubMed  Google Scholar 

  52. Sinclair LV, Rolf J, Emslie E, Shi YB, Taylor PM, Cantrell DA (2013) Control of amino-acid transport by antigen receptors coordinates the metabolic reprogramming essential for T cell differentiation. Nat Immunol 14(5):500–508. https://doi.org/10.1038/ni.2556

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  53. Hao Y, Samuels Y, Li Q, Krokowski D, Guan BJ, Wang C, Jin Z, Dong B, Cao B, Feng X, Xiang M, Xu C, Fink S, Meropol NJ, Xu Y, Conlon RA, Markowitz S, Kinzler KW, Velculescu VE, Brunengraber H, Willis JE, LaFramboise T, Hatzoglou M, Zhang GF, Vogelstein B, Wang Z (2016) Oncogenic PIK3CA mutations reprogram glutamine metabolism in colorectal cancer. Nat Commun 7:11971. https://doi.org/10.1038/ncomms11971

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  54. Cheng SW, Fryer LG, Carling D, Shepherd PR (2004) Thr2446 is a novel mammalian target of rapamycin (mTOR) phosphorylation site regulated by nutrient status. J Biol Chem 279(16):15719–15722. https://doi.org/10.1074/jbc.C300534200

    Article  CAS  PubMed  Google Scholar 

  55. Figueiredo VC, Markworth JF, Cameron-Smith D (2017) Considerations on mTOR regulation at serine 2448: implications for muscle metabolism studies. Cell Mol Life Sci 74(14):2537–2545. https://doi.org/10.1007/s00018-017-2481-5

    Article  CAS  PubMed  Google Scholar 

  56. Hassanein M, Qian J, Hoeksema MD, Wang J, Jacobovitz M, Ji X, Harris FT, Harris BK, Boyd KL, Chen H, Eisenberg R, Massion PP (2015) Targeting SLC1a5-mediated glutamine dependence in non-small cell lung cancer. Int J Cancer 137(7):1587–1597. https://doi.org/10.1002/ijc.29535

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  57. Wang Q, Hardie RA, Hoy AJ, van Geldermalsen M, Gao D, Fazli L, Sadowski MC, Balaban S, Schreuder M, Nagarajah R, Wong JJ, Metierre C, Pinello N, Otte NJ, Lehman ML, Gleave M, Nelson CC, Bailey CG, Ritchie W, Rasko JE, Holst J (2015) Targeting ASCT2-mediated glutamine uptake blocks prostate cancer growth and tumour development. J Pathol 236(3):278–289. https://doi.org/10.1002/path.4518

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  58. Liang Z, Cho HT, Williams L, Zhu A, Liang K, Huang K, Wu H, Jiang C, Hong S, Crowe R, Goodman MM, Shim H (2011) Potential biomarker of L-type amino acid transporter 1 in breast cancer progression. Nucl Med Mol Imaging 45(2):93–102. https://doi.org/10.1007/s13139-010-0068-2

    Article  CAS  PubMed  Google Scholar 

  59. Dickens D, Chiduza GN, Wright GS, Pirmohamed M, Antonyuk SV, Hasnain SS (2017) Modulation of LAT1 (SLC7A5) transporter activity and stability by membrane cholesterol. Sci Rep 7:43580. https://doi.org/10.1038/srep43580

    Article  PubMed  PubMed Central  Google Scholar 

  60. Oda K, Hosoda N, Endo H, Saito K, Tsujihara K, Yamamura M, Sakata T, Anzai N, Wempe MF, Kanai Y, Endou H (2010) L-type amino acid transporter 1 inhibitors inhibit tumor cell growth. Cancer Sci 101(1):173–179. https://doi.org/10.1111/j.1349-7006.2009.01386.x

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

We thank the Nottingham Health Science Biobank and Breast Cancer Now Tissue Bank for the provision of tissue samples.

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El-Ansari, R., Craze, M.L., Alfarsi, L. et al. The combined expression of solute carriers is associated with a poor prognosis in highly proliferative ER+ breast cancer. Breast Cancer Res Treat 175, 27–38 (2019). https://doi.org/10.1007/s10549-018-05111-w

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