Prioritizing research areas for antibiotic stewardship programmes in hospitals: a behavioural perspective consensus paper

SCOPE

Antibiotic stewardship programmes (ASPs) are necessary in hospitals to improve the judicious use of antibiotics. While ASPs require complex change of key behaviours on individual, team organization and policy levels, evidence from the behavioural sciences is underutilized in antibiotic stewardship studies across the world, including high-income countries (HICs). A consensus procedure was performed to propose research priority areas for optimizing effective implementation of ASPs in hospital settings using a behavioural perspective.

METHODS

A workgroup for behavioural approaches to ASPs was convened in response to the fourth call for leading expert network proposals by the Joint Programming Initiative on Antimicrobial Resistance (JPIAMR). Eighteen clinical and academic specialists in antibiotic stewardship, implementation science and behaviour change from four HICs with publicly funded healthcare systems (e.g. Canada, Germany, Norway and the UK) met face-to-face to agree on broad research priority areas using a structured consensus method. Question addressed and recommendations: The consensus process assessing the ten identified research priority areas resulted in recommendations that need urgent scientific interest and funding to optimize effective implementation of ASPs for hospital inpatients in HICs with publicly funded healthcare systems. We suggest and detail behavioural science evidence-guided research efforts in the following areas: (a) comprehensively identifying barriers and facilitators to implementing ASPs and clinical recommendations intended to optimize antibiotic prescribing; (b) identifying actors ('who') and actions ('what needs to be done') of ASPs and clinical teams; (c) synthesizing available evidence to support future research and planning for ASPs; (d) specifying the activities in current ASPs with the purpose of defining a control group for comparison with new initiatives; (e) defining a balanced set of outcomes and measures to evaluate the effects of interventions focused on reducing unnecessary exposure to antibiotics; (f) conducting robust evaluations of ASPs with built-in process evaluations and fidelity assessments; (g) defining and designing ASPs; (h) establishing the evidence base for impact of ASPs on resistance; (i) investigating the role and impact of government and policy contexts on ASPs; and (j) understanding what matters to patients in ASPs in hospitals.

CONCLUSIONS

Assessment, revisions and updates of our priority-setting exercise should be considered at intervals of 2 years. To propose research priority areas in low- and middle-income countries, the methodology reported here could be applied.

Abstract PD5-05: Genomic instability and poor antiproliferative response to aromatase inhibitor treatment: A POETIC study

Background:

More than 20% of early-stage patients with estrogen positive (ER+) disease relapse. Higher levels of the proliferation marker Ki67, and lack of reduction of Ki67 in response to AI indicate poorer prognosis. Somatic mutations have been the focus of research in treatment resistance. However, recurrent somatic copy number alterations (SCNAs) are more common and affect more genes in primary breast cancer (BC) than somatic mutations. Previous studies have suggested an increased risk of recurrence for patients with high genomic instability and for patients with loss of heterozygosity (LOH) at the TP53 locus, but it is unknown if these SCNA events impact response to AI treatment. In addition, LOH and mutations at the TP53 locus had a higher risk of recurrence than LOH or mutations at TP53 alone. We hypothesised that genomic instability and SCNAs at particular loci would be increased in early BC patients with high baseline Ki67, and particularly in patients with high Ki67 despite pre-operative AI therapy.

Methods:

In a substudy of POETIC (UK-wide, phase III, randomised trial with 4483 women testing perioperative AI in postmenopausal women with early BC), SNParray technology was used to determine SCNAs in baseline and surgical tumour core-cuts and blood from 76 patients (59 AI-treated, 17 controls). Proliferation rate was estimated as percentage (%) of cancer cells staining for Ki67 by IHC. Poor AI responders (PR, <60% reduction in Ki67 between baseline and surgery, n=31) and good AI responders (GR, > 75% reduction in Ki67, n=28) were selected from POETIC samples. Mutation data from exome sequencing was available for tumours from 75 of the patients.

Results:

The fraction of the genome with SCNAs correlated with Ki67 expression in both baseline and surgical samples (baseline Spearman rho=0.5, p < 10-5; surgical Spearman rho=0.44, p < 10-3). In paired baseline vs surgical samples, 24% of samples showed discordance in SCNAs that covered > 10% of the genome. The samples showing the highest discordance were from PRs.

The fraction of the genome with LOH was greater in PR (median PR 20%, GR 10%, p = .065), and the best SCNA to predict the fraction of the genome altered in a sample were segments with LOH at Chr17p13.3 (adjusted p < .001, logistic regression). There was a higher percentage of patients with LOH at Chr17p13.3 that contains the TP53 gene in the PR compared to GR group (PR 71%, GR 39%, p = .029), and integration of previously generated mutation data with SCNA showed that 9 out of 31 PRs have mutations and LOH at the TP53 locus compared to 3 out of 28 GRs (p = 0.16).

Conclusions:

There is discordance between the observed SCNAs in paired samples with high genomic instability and multiple biopsies may be needed to confidently assess all SCNAs. However, LOH at Chr17p13.3 is a biomarker for genomic instability and frequency of LOH is significantly greater in patients that show a poor response to AI treatment. Finally, high genomic instability is associated with high proliferation rates at baseline and surgery after 2 weeks of AI treatment suggesting de novo resistance in tumours with high instability that may lead to a higher rate of recurrence seen in these patients.

Citation Format: Schuster EF, Gellert P, Segal CV, López-Knowles E, Buus R, Morden J, Robertson J, Bliss J, Smith I, Dowsett M, POETIC Trial Management Group and Trialists P. Genomic instability and poor antiproliferative response to aromatase inhibitor treatment: A POETIC study [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr PD5-05.

Abstract P3-13-01: Withdrawn

This abstract was withdrawn by the authors.

Detection of potentially novel paramyxovirus and coronavirus viral RNA in bats and rats in the Mekong Delta region of southern Viet Nam

Bats and rodents are being increasingly recognized as reservoirs of emerging zoonotic viruses. Various studies have investigated bat viruses in tropical regions, but to date there are no data regarding viruses with zoonotic potential that circulate in bat and rat populations in Viet Nam. To address this paucity of data, we sampled three bat farms and three wet markets trading in rat meat in the Mekong Delta region of southern Viet Nam. Faecal and urine samples were screened for the presence of RNA from paramyxoviruses, coronaviruses and filoviruses. Paramyxovirus RNA was detected in 4 of 248 (1%) and 11 of 222 (4.9%) bat faecal and urine samples, respectively. Coronavirus RNA was detected in 55 of 248 (22%) of bat faecal samples; filovirus RNA was not detected in any of the bat samples. Further, coronavirus RNA was detected in 12 of 270 (4.4%) of rat faecal samples; all samples tested negative for paramyxovirus. Phylogenetic analysis revealed that the bat paramyxoviruses and bat and rat coronaviruses were related to viruses circulating in bat and rodent populations globally, but showed no cross-species mixing of viruses between bat and rat populations within Viet Nam. Our study shows that potentially novel variants of paramyxoviruses and coronaviruses commonly circulate in bat and rat populations in Viet Nam. Further characterization of the viruses and additional human and animal surveillance is required to evaluate the likelihood of viral spillover and to assess whether these viruses pose a risk to human health.

De-escalating and escalating treatments for early-stage breast cancer: the St. Gallen International Expert Consensus Conference on the Primary Therapy of Early Breast Cancer 2017

The 15th St. Gallen International Breast Cancer Conference 2017 in Vienna, Austria reviewed substantial new evidence on loco-regional and systemic therapies for early breast cancer. Treatments were assessed in light of their intensity, duration and side-effects, seeking where appropriate to escalate or de-escalate therapies based on likely benefits as predicted by tumor stage and tumor biology. The Panel favored several interventions that may reduce surgical morbidity, including acceptance of 2 mm margins for DCIS, the resection of residual cancer (but not baseline extent of cancer) in women undergoing neoadjuvant therapy, acceptance of sentinel node biopsy following neoadjuvant treatment of many patients, and the preference for neoadjuvant therapy in HER2 positive and triple-negative, stage II and III breast cancer. The Panel favored escalating radiation therapy with regional nodal irradiation in high-risk patients, while encouraging omission of boost in low-risk patients. The Panel endorsed gene expression signatures that permit avoidance of chemotherapy in many patients with ER positive breast cancer. For women with higher risk tumors, the Panel escalated recommendations for adjuvant endocrine treatment to include ovarian suppression in premenopausal women, and extended therapy for postmenopausal women. However, low-risk patients can avoid these treatments. Finally, the Panel recommended bisphosphonate use in postmenopausal women to prevent breast cancer recurrence. The Panel recognized that recommendations are not intended for all patients, but rather to address the clinical needs of the majority of common presentations. Individualization of adjuvant therapy means adjusting to the tumor characteristics, patient comorbidities and preferences, and managing constraints of treatment cost and access that may affect care in both the developed and developing world.

How can point-of-care HbA1c testing be integrated into UK primary care consultations? - A feasibility study

AIMS

Point-of-care (POC) HbA1c testing gives a rapid result, allowing testing and treatment decisions to take place in a single appointment. Trials of POC testing have not been shown to improve HbA1c, possibly because of how testing was implemented. This study aimed to identify key components of POC HbA1c testing and determine strategies to optimise implementation in UK primary care.

METHODS

This cohort feasibility study recruited thirty patients with type 2 diabetes and HbA1c>7.5% (58mmol/mol) into three primary care clinics. Patients' clinical care included two POC HbA1c tests over six months. Data were collected on appointment duration, clinical decisions, technical performance and patient behaviour.

RESULTS

Fifty-three POC HbA1c consultations took place during the study; clinical decisions were made in 30 consultations. Five POC consultations with a family doctor lasted on average 11min and 48 consultations with nurses took on average 24min. Five POC study visits did not take place in one clinic. POC results were uploaded to hospital records from two clinics. In total, sixty-three POC tests were performed, and there were 11 cartridge failures. No changes in HbA1c or patient behaviour were observed.

CONCLUSIONS

HbA1c measurement with POC devices can be effectively implemented in primary care. This work has identified when these technologies might work best, as well as potential challenges. The findings can be used to inform the design of a pragmatic trial to implement POC HbA1c testing.

Abstract P2-10-02: The impact of intrinsic subtypes and molecular features on aromatase inhibitor induced reduction of proliferation marker of Ki67 in primary ER+ breast cancer: A POETIC study (CRUK/07/015)

Background

Neoadjuvant endocrine therapy (NAE) is often a good option for postmenopausal (PM) women with estrogen receptor positive (ER+) breast cancers(BC). Fall in Ki67 is widely accepted as valid for predicting favorable tumor response to NAE and improved outcome. We report our planned correlative study to investigate if intrinsic subtype impacts on Ki67 changes (ΔKi67) as measured by immunohistochemistry. We also explored the correlation of several ER+ BC relevant molecular features at baseline(B) with ΔKi67.

Patients and methods

POETIC is a phase III, randomized 2:1 study for 4486 PM patients with ER+ BC to determine whether peri-operative aromatase inhibitor (AI) followed by standard adjuvant therapy improves outcome compared with standard adjuvant therapy alone. The proliferation rate was estimated as percentage (%) of cancer cells staining for Ki67. Primary biological endpoint was defined as two-week (2wk) change in Ki67 (2wkΔKi67): ln[(2wk Ki67+0.1)/(B Ki67+0.1)]. Secondary endpoint: “responders”, was % change of Ki67 defined as (2wk Ki67 – B Ki67) *100/B Ki67. “Responder” was defined as follows: reduction <50% as poor (PR), 50-75% moderate and >75% as good responder (GR).

Human whole genome expression(GE) Illumina BeadChips were performed. Data was obtained from 137 paired samples from the treatment group(T) and 49 pairs from the control(C) group with GE data passing quality check and baseline Ki67≥5% to minimise the impact of extreme values based on proportional ΔKi67. Intrinsic subtype and risk of recurrence(ROR) groups were calculated using PAM50. GE scores from Oncotype Dx, MammaPrint, p53 mutation/wildtype(Troester 2006), ER+ early response (ERE)(Hatzis 2011), estrogen-regulated genes subtypes (Oh 2006) and markers for 23 different immune cell types(Bindea 2013) were calculated. Associations of GE scores to endpoints of response were determined by Spearman correlation and chi-square tests. Bonferroni correction was used to control error rate with p<0.0005 deemed significant.

Results

At B of the 137 paired T, 64% were Luminal A (LumA), 22% Luminal B (LumB), 9% as HER-2 enriched (HER2-E), 2% as Basal-like (BLBC) and 3% as Normal-like. Subtypes at B were associated with response, with LumA showing the biggest reduction of Ki67 (p=0.0001) and GR. All GE, except ERE, correlated significantly with 2wkΔKi67 and response: higher risk groups associated with lowest reduction rate. None of immune cell types correlated with 2wkΔKi67, except that tumors enriched with T-helper 1 cell type were associated with PR (p < 0.000001).

Comparing subtypes between time-points, 85% of LumB and 42% of HER2-E were assigned instead as LumA at 2wk regardless of response. Of the 15 ROR defined high-risk group, only 33% were assigned instead as low-risk at 2wk.

Conclusion

Both LumA and LumB are endocrine sensitive. A fall of Ki67 was observed in majority of cases. Most tumors estimated as high-risk by molecular profiling showed less response and most remained moderate or high risk of recurrence on endocrine therapy. Whether molecular profiling at 2wk after starting AI predicts for long-term outcome in PM women with ER+ better than at diagnosis will need to be determined.

Citation Format: Cheang MCU, Morden J, Gao Q, Parker J, López-Knowles E, Detre S, Hills M, Zabaglo L, Tomiczek M, Mallon E, Robertson J, Smith I, Bliss J, Dowsett M, On Behalf of the POETIC Trialists. The impact of intrinsic subtypes and molecular features on aromatase inhibitor induced reduction of proliferation marker of Ki67 in primary ER+ breast cancer: A POETIC study (CRUK/07/015) [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr P2-10-02.

Abstract P1-02-01: Circulating tumor DNA analysis to predict relapse and overall survival in early breast cancer – Longer follow-up of a proof-of-principle study

Background

In a previous proof-of-principle study we demonstrated that detection of circulating tumour DNA (ctDNA) in the adjuvant setting, after completion of surgery and chemotherapy for early stage breast cancer, was associated with a high risk of early relapse. Here we present longer follow-up of the same series, to define the predictive power of ctDNA analysis for disease free survival, and assess the potential to predict overall survival.

Methods

We recruited a cohort of 55 women presenting with early stage, primary breast cancer, who were all scheduled to receive neo-adjuvant chemotherapy. The primary tumour was sequenced to identify somatic mutations, identifying at least one mutation in 43 patients. Mutations were tracked with digital PCR to identify ctDNA, in plasma samples taken either at a single post-surgical time point (2-6 weeks post-surgery) or with serial plasma samples taken every 6 months in the adjuvant setting.

Results

At a median 31.7 months follow-up, 42% (18/43) patients had relapsed. Detection of ctDNA at the single post-surgical time point was associated with poor disease free survival, HR=13.6 95%CI (4.5, 41.2) p<0.001, and overall survival HR=84.7 95%CI (9.8, 730.4) p<0.001. All patients with ctDNA detected in a single post-surgical time point relapsed and died in the follow-up period (7/7, 100% specificity), although the single post-surgery time point had modest 39% (7/18) sensitivity for relapse. Detection of ctDNA at any point in serial sampling was associated with poor disease free survival HR=25.7 95%CI (8.3, 79.8) p<0.001 and overall survival HR=47.1 95%CI (6.1, 366.1) p<0.001. All patients with ctDNA detected in a serial mutation tracking relapsed in the follow-up period (14/14, 100% specificity), with 78% (14/18) sensitivity for relapse. Sensitivity was limited by 3 cases of brain only relapse and one case of solitary ovarian relapse. Detection of ctDNA in serial sampling had a median lead-time of 8.1 months over clinical relapse.

Conclusion

Detection of ctDNA in the adjuvant setting has a high predictive power for future relapse and death from breast cancer. Therapeutic trials are required to determine whether mutation tracking identifies relapse sufficiently early to allow for further adjuvant therapy.

Citation Format: Turner NC, Garcia-Murillas I, Chopra N, Beaney M, Kilburn L, Cutts R, Osin P, Nerurkar A, Schiavon G, Hrebien S, Bliss J, Dowsett M, Smith I. Circulating tumor DNA analysis to predict relapse and overall survival in early breast cancer – Longer follow-up of a proof-of-principle study [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr P1-02-01.

Abstract S4-03: Targeted and selective degradation of estrogen receptor (ER) alpha by PROTACs

ERα-positive breast cancers comprise approximately 80% of all newly diagnosed cases. Current treatment approaches targeting ER signaling include antagonizing and/or downregulating ER or reducing estrogen levels. Faslodex (fulvestrant) is the only clinically-approved agent that is both a potent ER antagonist and downregulator but has limitations given its pharmacokinetics and route of administration. Over the past several years, targeted ER therapies have focused on developing selective estrogen receptor downregulators (SERDs, i.e, GDC-0810, GDC-0927, AZD9496, RAD1901). The mechanisms involved in ER downregulation by SERD binding are not completely understood, but evidence suggests that conformational changes in the receptor upon ligand binding combined with specific co-regulator interactions destabilize the receptor making it a target for passive proteasomal degradation. We hypothesized that the complex ER pharmacology required for SERD-based passive degradation might be different across various ER-positive cell lines and that targeted degradation of the receptor by actively recruiting the ubiquitin-proteasome machinery would provide a better approach for reducing ER levels. To test this hypothesis, we developed potent molecules directed against ER using our pioneering technology—proteolysis targeting chimeras (PROTACs). PROTACs are heterobifunctional molecules that actively recruit specific E3 ligases resulting in ubiquitylation and degradation of target proteins. When testing for ER degradation using several SERDs and ER PROTACs, we discovered that both fulvestrant and ER PROTACs provided robust degradation in all ER-positive lines (<1 nM 50% degradation; >90% reduction) whereas other SERDs did not degrade or only modestly degraded the receptor. Importantly, MCF-7 cells were uniquely sensitive to SERD-based degradation of ER compared to other cell lines. Subcutaneous administration of fulvestrant (1mpk) or ER PROTACs (10 mpk) reduced uterine ER alpha levels in immature rats (>65% reduction). PROTAC-mediated degradation of ER was also achieved in breast cancer xenografts. To further validate the PROTAC mechanism, incubation of ER-positive cells with ER PROTACs resulted in increased levels of poly-ubiquitylated ERα when compared to SERDs. Lastly, to demonstrate the specificity of PROTAC-mediated ERα degradation, we utilized a cellular expression proteomics-based approach to examine over 7,000 proteins. In this experiment, only ERα and several known proteins whose genes are regulated by ERα, were significantly reduced by PROTACs. It remains to be seen how the current class of investigational downregulators will perform in the clinic. More importantly, a better understanding of the therapeutic potential and benefit of degrading the receptor instead of inhibiting the receptor needs to be explored. To that end, we continue to develop and characterize novel ER PROTACs with the anticipation that targeted ERα degradation will provide a greater clinical benefit than receptor antagonism.

Citation Format: Flanagan JJ, Rossi AK, Anderoli M, Willard RR, Gordon D, Harling J, Churcher I, Smith I, Zinn N, Bantscheff M, Crews CM, Crew A, Coleman KG, Winkler JD, Qian Y. Targeted and selective degradation of estrogen receptor (ER) alpha by PROTACs [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr S4-03.

Abstract P2-09-02: True effect of aromatase inhibitor (AI) treatment on global gene expression (expr) changes in postmenopausal ER+ breast cancer (BC) patients: A POETIC study (CRUK/07/015)

BACKGROUND Gene expression (expr) analyses are increasingly used for characterising the pharmacodynamic response of primary BC. This includes assessing ER+ BC's dependence on estrogen (E) by measuring gene expr changes after AI-treatment. However, differences in tissue sampling and other preanalytic procedures between samples taken at diagnosis (D) and surgery (S), may lead to systematic artifactual changes that are falsely ascribed to the intervention. To identify genes whose expr is truly affected by AI, we measured global gene expr changes from paired core-cut biopsies at D and S from patients in the POETIC presurgical window trial.

METHODS In POETIC, 4486 postmenopausal women with primary ER+ BC were randomised 2:1 to receive perioperative AI (2 weeks pre + 2 weeks post surgery, termed Tr) or no perioperative treatment (termed Con), allowing gene expr changes to be compared between Tr and Con. RNA was extracted from paired RNA-later stored core-cuts of 56 Con and 157 Tr patients and arrayed on Illumina whole genome expr BeadChips. Raw data was extracted, transformed, normalised and batch-corrected. Probes not detected (p>0.01) in >=25% of samples were discarded. Impact of AI on genes was evaluated based on difference of the expr mean changes (log2(S/D)) of the Tr and Con samples.

RESULTS In the Con group, expr of 73 genes significantly changed (FDR<5%); 70 of these changed by a similar magnitude in the Tr group, indicating their change was independent of AI therapy but would have been artifactually discovered as changed by AI in the absence on Con. The 8 genes most up-regulated in Tr were all among the 20 genes most up-regulated in Con: many were early-response or stress-associated genes. Three of the 8 most down-regulated in AI were the most down-regulated in Con: all were haemoglobin-related. Expr of some genes was changed in Con (eg MYC increase) but was unaffected in Tr. Such artifactual gene changes in Con tumors conceal true AI-induced changes that would not be detected in the absence of comparison with Con.

615 genes were down-regulated and 472 up-regulated in Tr but not Con. The majority of down-regulated genes were cell cycle or proliferation-associated or E-regulated, including ESR1, PDZK1, GREB1, HSPB1. Functional mapping showed changes in the regulation of cyclins and cyclin dependent kinases impacting on G1/S and G2/M. Of note, up-regulated genes included CDK6 (target for CDK4/6 inhibitors) and CCND2, involved in G1/S checkpoint regulation; SNAI2, TGFB3, TGFBR2, associated with tumour invasion and metastasis; and other genes involved in aryl hydrocarbon receptor, Glioblastoma Multiforme, HIPPO and p53 signalling.

CONCLUSION Expr of certain genes is altered by processes involved in presurgical window studies. In the absence of a Con group, these may be wrongly ascribed to an experimental intervention or wrongly considered as unaffected by the intervention (eg MYC in this study).

Down-regulation of E-responsive and proliferation genes was an expected response to AI but increased expr of genes such as SNAI2, CCND2 and CDK6 indicates immediate tumour re-wiring and provides mechanistic support for benefit from combination therapy with a CDK4/6 inhibitor.

Citation Format: Gao Q, López-Knowles E, Cheang MCU, Morden J, Martin L-A, Sidhu K, Evans D, Martins V, Dodson A, Skene A, Holcombe C, Mallon E, Abigail E, Bliss J, Robertson J, Smith I, Dowsett M. True effect of aromatase inhibitor (AI) treatment on global gene expression (expr) changes in postmenopausal ER+ breast cancer (BC) patients: A POETIC study (CRUK/07/015) [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr P2-09-02.