Auner Lab

Contact


Dr Holger Auner

  • CRUK Advanced Clinician Scientist
  • Clinical Reader in Molecular Haemato-Oncology

+44 (0)20 3313 4017
holger.auner04@imperial.ac.uk

Areas of research


Proteotoxic stress and metabolism

Myeloma cells are characterised by a unique sensitivity to inhibitors of the proteasome, which is responsible for the controlled degradation of most cellular proteins that have become damaged or are otherwise unwanted. Nevertheless, resistance to proteasome inhibitors occurs in essentially all patients to varying degrees. Accumulation of misfolded proteins in the endoplasmic reticulum (ER), which triggers proteotoxic ‘ER stress’, is widely believed to be the main mechanism of action of proteasome inhibitors. However, data from our lab and other research groups suggest complex interactions between proteasomal protein degradation and multiple metabolic processes. Our aim is to find metabolic and proteostatic vulnerabilities that we can exploit therapeutically.


Tissue biophysics in myeloma biology

Several important aspects of cancer cell biology are influenced by mechanical cues from the surrounding tissue. In particular, mechanical interactions and matrix remodelling have been shown to govern cancer cell metabolism. Tissue stiffness also impacts on normal haematopoiesis, and mechanical cues are known to modulate therapeutic responses. Moreover, we have shown that proteostasis-targeting drugs can alter tissue physical properties. We aim to understand how tissue stiffness and nutrient availability act together to rewire metabolic networks and regulate drug responses in myeloma.


Search or filter publications

Filter by type:

Filter by publication type

Filter by year:

to

Results

  • Showing results for:
  • Reset all filters

Search results

  • Journal article
    Auner HW, Gavriatopoulou M, Delimpasi S, Simonova M, Spicka I, Pour L, Dimopoulos MA, Kriachok I, Pylypenko H, Leleu X, Doronin V, Usenko G, Hajek R, Benjamin R, Dolai TK, Sinha DK, Venner CP, Garg M, Stevens DA, Quach H, Jagannath S, Moreau P, Levy M, Badros A, Jr LDA, Bahlis NJ, Facon T, Victoria Mateos M, Cavo M, Chai Y, Arazy M, Shah J, Shacham S, Kauffman MG, Richardson PG, Grosicki Set al., 2021,

    Effect of age and frailty on the efficacy and tolerability of once-weekly selinexor, bortezomib, and dexamethasone in previously treated multiple myeloma

    , AMERICAN JOURNAL OF HEMATOLOGY, Vol: 96, Pages: 708-718, ISSN: 0361-8609
  • Journal article
    Ponnusamy K, Tzioni MM, Begum M, Robinson ME, Caputo VS, Katsarou A, Trasanidis N, Xiao X, Kostopoulos IV, Iskander D, Roberts I, Trivedi P, Auner HW, Naresh K, Chaidos A, Karadimitris Aet al., 2021,

    The innate sensor ZBP1-IRF3 axis regulates cell proliferation in multiple myeloma.

    , Haematologica

    Multiple myeloma is a malignancy of plasma cells (PC) initiated and driven by primary and secondary genetic events. Nevertheless, myeloma PC survival and proliferation might be sustained by non-genetic drivers. Z-DNA-binding protein 1 (ZBP1; also known as DAI) is an interferon-inducible, Z-nucleic acid sensor that triggers RIPK3-MLKL-mediated necroptosis in mice. ZBP1 also interacts with TBK1 and the transcription factor IRF3 but the function of this interaction is unclear, and the role of ZBP1-IRF3 axis in cancer is not known. Here we show that ZBP1 is selectively expressed in late B cell development in both human and mouse cells and it is required for optimal T-cell-dependent humoral immune responses. In myeloma PC, interaction of constitutively expressed ZBP1 with TBK1 and IRF3 results in IRF3 phosphorylation. IRF3 directly binds and activates cell cycle genes, in part through co-operation with the PC lineage-defining transcription factor IRF4, and thereby promoting myeloma cell proliferation. This generates a novel, potentially therapeutically targetable and relatively selective myeloma cell addiction to the ZBP1-IRF3 axis. Our data also show a non-canonical function of constitutive ZBP1 in human cells and expand our knowledge of the role of cellular immune sensors in cancer biology.

  • Journal article
    Klionsky DJ, Abdel-Aziz AK, Abdelfatah S, Abdellatif M, Abdoli A, Abel S, Abeliovich H, Abildgaard MH, Abudu YP, Acevedo-Arozena A, Adamopoulos IE, Adeli K, Adolph TE, Adornetto A, Aflaki E, Agam G, Agarwal A, Aggarwal BB, Agnello M, Agostinis P, Agrewala JN, Agrotis A, Aguilar P, Ahmad ST, Ahmed ZM, Ahumada-Castro U, Aits S, Aizawa S, Akkoc Y, Akoumianaki T, Akpinar HA, Al-Abd AM, Al-Akra L, Al-Gharaibeh A, Alaoui-Jamali MA, Alberti S, Alcocer-Gomez E, Alessandri C, Ali M, Al-Bari MAA, Aliwaini S, Alizadeh J, Almacellas E, Almasan A, Alonso A, Alonso GD, Altan-Bonnet N, Altieri DC, Alves S, da Costa CA, Alzaharna MM, Amadio M, Amantini C, Amaral C, Ambrosio S, Amer AO, Ammanathan V, An Z, Andersen SU, Andrabi SA, Andrade-Silva M, Andres AM, Angelini S, Ann D, Anozie UC, Ansari MY, Antas P, Antebi A, Anton Z, Anwar T, Apetoh L, Apostolova N, Araki T, Araki Y, Arasaki K, Araujo WL, Araya J, Arden C, Arevalo M-A, Arguelles S, Arias E, Arikkath J, Arimoto H, Ariosa AR, Armstrong-James D, Arnaune-Pelloquin L, Aroca A, Arroyo DS, Arsov I, Artero R, Asaro DML, Aschner M, Ashrafizadeh M, Ashur-Fabian O, Atanasov AG, Au AK, Auberger P, Auner HW, Aurelian L, Autelli R, Avagliano L, Avalos Y, Aveic S, Aveleira CA, AvinWittenberg T, Aydin Y, Ayton S, Ayyadevara S, Azzopardi M, Baba M, Backer JM, Backues SK, Bae D-H, Bae O-N, Bae SH, Baehrecke EH, Baek A, Baek S-H, Baek SH, Bagetta G, Bagniewska-Zadworna A, Bai H, Bai J, Bai X, Bai Y, Bairagi N, Baksi S, Balbi T, Baldari CT, Balduini W, Ballabio A, Ballester M, Balazadeh S, Balzan R, Bandopadhyay R, Banerjee S, Banerjee S, Bao Y, Baptista MS, Baracca A, Barbati C, Bargiela A, Barila D, Barlow PG, Barmada SJ, Barreiro E, Barreto GE, Bartek J, Bartel B, Bartolome A, Barve GR, Basagoudanavar SH, Bassham DC, Jr RCB, Basu A, Batoko H, Batten I, Baulieu EE, Baumgarner BL, Bayry J, Beale R, Beau I, Beaumatin F, Bechara LRG, Beck GR, Beers MF, Begun J, Behrends C, Behrens GMN, Bei R, Bejarano E, Bel S, Behl C, Belaid A, Belgareh-Touzeet al., 2021,

    Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)

    , Autophagy, Vol: 17, Pages: 1-382, ISSN: 1554-8627

    In 2008, we published the first set of guidelines for standardizing research in autophagy. Since then, this topic has received increasing attention, and many scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Thus, it is important to formulate on a regular basis updated guidelines for monitoring autophagy in different organisms. Despite numerous reviews, there continues to be confusion regarding acceptable methods to evaluate autophagy, especially in multicellular eukaryotes. Here, we present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes. These guidelines are not meant to be a dogmatic set of rules, because the appropriateness of any assay largely depends on the question being asked and the system being used. Moreover, no individual assay is perfect for every situation, calling for the use of multiple techniques to properly monitor autophagy in each experimental setting. Finally, several core components of the autophagy machinery have been implicated in distinct autophagic processes (canonical and noncanonical autophagy), implying that genetic approaches to block autophagy should rely on targeting two or more autophagy-related genes that ideally participate in distinct steps of the pathway. Along similar lines, because multiple proteins involved in autophagy also regulate other cellular pathways including apoptosis, not all of them can be used as a specific marker for bona fide autophagic responses. Here, we critically discuss current methods of assessing autophagy and the information they can, or cannot, provide. Our ultimate goal is to encourage intellectual and technical innovation in the field.

  • Journal article
    Caputo VS, Trasanidis N, Xiao X, Robinson ME, Katsarou A, Ponnusamy K, Prinjha RK, Smithers N, Chaidos A, Auner HW, Karadimitris Aet al., 2021,

    Brd2/4 and Myc regulate alternative cell lineage programmes during early osteoclast differentiation in vitro

    , iScience, Vol: 24, Pages: 1-31, ISSN: 2589-0042

    Osteoclast development in response to RANKL is critical for bone homeostasis in health and in disease. The early and direct chromatin regulatory changes imparted by the BET chromatin readers Brd2-4 and osteoclast-affiliated transcription factors (TF) during osteoclastogenesis are not known. Here, we demonstrate that in response to RANKL, early osteoclast development entails regulation of two alternative cell fate transcriptional programmes, osteoclast vs macrophage, with repression of the latter following activation of the former. Both programmes are regulated in a non-redundant manner by increased chromatin binding of Brd2 at promoters and of Brd4 at enhancers/super-enhancers. Myc, the top RANKL-induced TF, regulates osteoclast development in co-operation with Brd2/4 and Max and by establishing negative and positive regulatory loops with other lineage-affiliated TF. These insights into the transcriptional regulation of osteoclastogenesis suggest the clinical potential of selective targeting of Brd2/4 to abrogate pathological OC activation.

  • Journal article
    Grosicki S, Simonova M, Spicka I, Pour L, Kriachok I, Gavriatopoulou M, Pylypenko H, Auner H, Leleu X, Doronin V, Usenko G, Bahlis NJ, Hajek R, Benjamin R, Dolai TK, Sinha DK, Venner CP, Garg M, Gironella M, Jurczyszyn A, Robak P, Galli M, Wallington-Beddoe C, Radinoff A, Salogub G, Stevens DA, Basu S, Liberati AM, Quach H, St Goranova-Marinova V, Bila J, Katodritou E, Oliynyk H, Korenkova S, Kumar J, Jagannath S, Moreau P, Levy M, White D, Gatt ME, Facon T, Mateos MV, Cavo M, Reece D, Anderson LD, Saint-Martin J-R, Jeha J, Joshi AA, Chai Y, Li L, Peddagali V, Arazy M, Shah J, Shacham S, Kauffman MG, Dimopoulos MA, Richardson PG, Delimpasi Set al., 2020,

    Once-weekly selinexor, bortezomib, and dexamethasone versus twice-weekly bortezomib and dexamethasone in patients with multiple myeloma (BOSTON): a randomised, open-label phase 3 trial

    , The Lancet, Vol: 396, Pages: P1563-1573, ISSN: 0140-6736

    Background Selinexor with dexamethasone has demonstrated activity in patients with heavily pretreated multiple myeloma (MM). In a phase 1b/2 study, the combination of oral selinexor with the proteasome inhibitor (PI) bortezomib, and dexamethasone (SVd) induced high response rates with low rates of peripheral neuropathy, the main dose-limiting toxicity of bortezomib. The aim of this trial was to evaluate the clinical benefit of weekly SVd versus standard bortezomib and dexamethasone (Vd) in patients with previously treated MM.Methods This phase 3, randomised, open label trial was conducted at 123 sites in 21 countries. Patients who were previously treated with one to three lines of therapy, including PIs were randomised (1:1) to selinexor (100 mg once-weekly) plus bortezomib (1·3 mg/m2 once-weekly) and dexamethasone (20 mg twice-weekly) [SVd] or bortezomib (1·3 mg/m2 twice-weekly) and dexamethasone (20 mg 4 times per week) [Vd]. Randomisation was done using interactive response technology and stratified by previous PI therapy, lines of treatment, and MM stage. The primary endpoint was progression-free survival (PFS) in the intention-to-treat population. Patients who received at least one dose of study treatment were included in the safety population. This trial is registered at ClinicalTrials.gov, NCT03110562.Findings Between June 2017 and February 2019, 402 patients were randomised: 195 to SVd and 207 to Vd. Median PFS was 13·93 (95% CI 11·73–NE) with SVd versus 9·46 months (8·11–10·78) with Vd; HR 0·70, [95% CI 0·53–0·93]; P=0.0075. Most frequent grade ≥3 adverse events (SVd vs Vd) were thrombocytopenia (77 [40%] vs 35 [17%]), fatigue (26 [13%] vs 2 [1%]), anaemia (31 [16%] vs 20 [10%]), and pneumonia (22 [11%] vs 22 [11%]). Peripheral neuropathy rates (overall, 32·3% vs 47·1%; OR 0·52, [95% CI 0·35-0·79]; P=0.0010 and grade ≥2, 21&middo

This data is extracted from the Web of Science and reproduced under a licence from Thomson Reuters. You may not copy or re-distribute this data in whole or in part without the written consent of the Science business of Thomson Reuters.

Request URL: http://wlsprd.imperial.ac.uk:80/respub/WEB-INF/jsp/search-t4-html.jsp Request URI: /respub/WEB-INF/jsp/search-t4-html.jsp Query String: id=1136&limit=5&page=2&respub-action=search.html Current Millis: 1638567510849 Current Time: Fri Dec 03 21:38:30 GMT 2021