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INTRODUCTION: Choosing Wisely (CW) recommends women age ≥70 y with cT1-2cN0 ER+/HER2-invasive breast cancer (BC) should forgo routine axillary staging with sentinel lymph node biopsy (SLN) at the time of breast surgery. Despite this longstanding recommendation, acceptance of SLN omission has not been widely adopted. Genomic assays, such as MammaPrint (MP), may supplement the decision to apply CW. We hypothesized that having MP on BC core needle biopsy (CNB) meeting CW could provide additional information to aid in decision-making about the need for axillary staging with SLN. METHODS: A retrospective single-institution review was conducted for women with BC meeting CW criteria, who also had MP performed on CNB from 2020 to 2021. Categorical characteristics were compared using the chi-square test. Continuous variables were compared using the Mann-Whitney U-test. RESULTS: MP was available on CNB for 238 BC meeting CW criteria: 70% low risk and 30% high risk. Axillary staging was performed in 195 (82%). Eighty-one percent were pathologically node-negative and 19% were pathologically node-positive. The MP score did not correlate with pathologic nodal stage (P = 0.52). The rate of high nodal burden (pN2) was extremely low (n = 1, 0.5%). The only significant correlation with pathological node positivity was older age (P = 0.03). Appropriately, high-risk MP was strongly associated with increased recurrence risk (n = 4, P = 0.008). CONCLUSIONS: Having MP on CNB does not provide clinically meaningful information about the pN stage and does not further refine which BC patients within CW could benefit from escalation to SLN or delineate a group more likely to be pathologically node-negative.

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INTRODUCTION: The Oncotype DX Breast RS test has been adopted in Scotland and has been the subject of a large population-based study by a Scottish Consensus Group to assess the uptake of the recurrence score (RS), evaluate co-variates associated with the RS and to analyse the effect it may have had on clinical practice. MATERIALS & METHODS: Pan-Scotland study between August 2018-August 2021 evaluating 833 patients who had a RS test performed as part of their diagnostic pathway. Data was extracted retrospectively from electronic records and analysis conducted to describe change in chemotherapy administration (by direct comparison with conventional risk assessment tools), and univariate/multivariate analysis to assess relationship between covariates and the RS. RESULTS: Chemotherapy treatment was strongly influenced by the RS (p < 0.001). Only 30 % of patients received chemotherapy treatment in the intermediate and high risk PREDICT groups, where chemotherapy is considered. Additionally, 55.5 % of patients with a high risk PREDICT had a low RS and did not receive chemotherapy. There were 17 % of patients with a low risk PREDICT but high RS who received chemotherapy. Multivariate regression analysis showed the progesterone receptor Allred score (PR score) to be a strong independent predictor of the RS, with a negative PR score being associated with high RS (OR 4.49, p < 0.001). Increasing grade was also associated with high RS (OR 3.81, p < 0.001). Classic lobular pathology was associated with a low RS in comparison to other tumour pathology (p < 0.01). Nodal disease was associated with a lower RS (p = 0.012) on univariate analysis, with menopausal status (p = 0.43) not influencing the RS on univariate or multivariate analysis. CONCLUSIONS: Genomic assays offer the potential for risk-stratified decision making regarding the use of chemotherapy. They can help reduce unnecessary chemotherapy treatment and identify a subgroup of patients with more adverse genomic tumour biology. A recent publication by Health Improvement Scotland (HIS) has updated guidance on use of the RS test for NHS Scotland. It suggests to limit its use to the intermediate risk PREDICT group. Our study shows the impact of the RS test in the low and high risk PREDICT groups. The implementation across Scotland has resulted in a notable shift in practice, leading to a significant reduction in chemotherapy administration in the setting of high risk PREDICT scores returning low risk RS. There has also been utility for the test in the low risk PREDICT group to detect a small subgroup with a high RS. We have found the PR score to have a strong independent association with high risk RS. This finding was not evaluated by the key RS test papers, and the potential prognostic information provided by the PR score as a surrogate biomarker is an outstanding question that requires more research to validate.

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The A2 milk marker is gaining popularity worldwide; thus, many farms plan to convert their dairy cattle herds to the A2A2 genotype. Variation in beta-casein genotypes needs to be monitored in large dairy cattle populations. Therefore we aimed to evaluate the genotypic distributions, population genetics, and diversity parameters in Holstein-Friesian cows. A total of 1200 cattle were genotyped using the Affymetrix® Axiom® array system. We performed an association analysis regarding the CSN2 genotypes and phenotypic traits, including lactation and test-day milk yield. We next evaluated the effects of the genotypes considering the genetic merit of the animals. Animals were grouped based on their PTAs for milk production, fat, protein, and daughter pregnancy rate. Thus, we tested the genotype × genetic merit interaction for significance. The A2 allele frequency is remarkably high (0.68), and the heterozygous genotype is predominant (46.25%). The marker showed intermediate variability and diversity levels, indicating a considerable frequency of the A1A1 genotype (9.33%) remains in the population. ANOVA results showed no significant association between the CSN2 genotypes and milk yield traits. A similar finding is valid for the genotype × genetic merit regarding the genomic test results. The data presented here may be helpful for further investigations and applications on A2 milk production.

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The increasing understanding of breast cancer biology has provided the basis for the development of multigene signatures aimed to improve the capability of clinicians to assess patients' prognostication and risk stratification. Incorporating these tools in clinical practice has profoundly impacted on the decision-making process for the adjuvant therapy of patients with ER+/HER2- early breast cancer and the results from prospective adjuvant trials have strengthened the clinical utility of multigene signatures in this setting. In July 2019, Lombardy was the first Region in Italy to reimburse genomic testing for patients with ER+/HER2- early breast cancer. Three years later, a group of investigators from six referral Cancer Centers in Lombardy convened to debate the use of multigene signatures in clinical practice and share their own experience with the tests after reimbursement. Here, we reviewed relevant data on the role of multigene signatures in tailoring adjuvant chemotherapy for patients with ER+/HER2- early breast cancer and discussed about the optimal use of these assays in current clinical practice. As the treatment landscape of early breast cancer evolves and novel questions about the possible additional applications of multigene assays arise, we also provide our viewpoint on the potential implementation of the assays in the evolving scenario ER+/HER2- early breast cancer treatment.

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In recent years, the rapid proliferation of genomic tests for use in clinical practice has prompted healthcare systems to use a health technology assessment (HTA) approach to distinguish valuable from unwarranted applications. In this study, we narratively review the Italian HTA mechanisms for medical devices (MDs), both at the national and regional levels, and discuss the opportunity and benefits of extending them to genomic technologies, for which a dedicated assessment path was advocated by the National Plan for Public Health Genomics in 2017. We found that the National Health Technology Assessment Program for MDs, completed in 2019, had developed a structured pathway for the HTA of MDs; it established a hub-and-spoke structure, run by a governmental institution, and put in place transparent methodological procedures to cover all four HTA phases (i.e., proposal and prioritization, assessment, appraisal, and dissemination). However, several factors have hindered its adoption, and the regions are at different stages of its implementation. For these reasons, efforts should be made to ensure its effective deployment, both at national and regional levels. In addition, we argue that to harmonize the institutional roles and methodological procedures adopted, the time has come to concentrate resources on a single pathway for the assessment of all technologies that include both MDs and genomic applications.

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INTRODUCTION: The 21-gene recurrence score assay Oncotype DX© (ODX) has clear prognostic and predictive value regarding adjuvant chemotherapy. However, recent studies have shown the clinical distinctiveness of both BRCA1/2-driven early breast cancer (EBC) and invasive lobular (ILC) breast cancers. We evaluated the association between BRCA1/2-driven EBC/ILC and Oncotype DX failure despite a recurrence score ≤ 20. METHODS: Here, we describe a small cohort of 16 patients from our center who, despite a low recurrence score (RS) ≤ 20, suffered from early disease recurrence. Clinical parameters of our cohort of patients were compared to a cohort from the general population of Clalit Health Service (CHS). RESULTS: Median age at diagnosis in our cohort was significantly younger. BRCA mutational status was available in 14 patients in our cohort. A high percentage of these patients had BRCA1/2 mutations (35.7%), either germline (in 3) or somatic (in 2). Half of our cohort was diagnosed with lobular carcinoma (ILC) relative to 10-15% in the general population of BC (p = 0.02). The median time to recurrence was 44 months. CONCLUSION: BRCA1/2 mutation and ILC are highly represented in this cohort. Although our cohort is small, these data may suggest that a RS ≤ 20 in these subgroups may not reflect a low risk of recurrence.

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In this paper, we updated our 2018 systematic review aimed to identify and compare ad hoc designed frameworks for genetic testing evaluation. Overall, we identified 30 frameworks (29 in the first systematic review and one in the update): they were mainly based on the ACCE model, whereas a minority were adjustments of the more traditional Health Technology Assessment (HTA) approach. After discussing the strengths and weaknesses of the retrieved frameworks, this perspective calls for consensus on the assessment of genetic testing. In line with the recent European recommendations that encouraged the generation of comparable evidence across Member States, we believe that the time has come to align all the ideas that have emerged over the last few decades and find a sustainable and sharable tool for the evaluation of genetic and genomic applications. Therefore, we suggest stopping the evaluation of such technologies using ad hoc strategies-affected by validation, implementation, and adoption issues-and we propose to use a general HTA approach, particularly the European reference tool for the assessment of health technologies, the EUnetHTA HTA core model, that is built on solid theoretical and methodological principles and provides a comprehensive assessment of the technologies value.

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PURPOSE: Genomic tests can guide the decision to administer adjuvant chemotherapy in women with hormone receptor (HR)-positive, Human Epidermal growth Factor 2 (HER2)-negative breast cancer (BC) at intermediate risk of recurrence. We assessed the decision-making and economic impact of the Prosigna test in a real-life setting. METHODS: Retrospective cohort study of HR + , HER2- BC patients managed from 2016 to 2020, potential candidates for adjuvant chemotherapy, at intermediate risk of recurrence, in whom a Prosigna test was performed according to contemporary guidelines. The additional cost of chemotherapy over one year in terms of direct medical and non-medical costs was estimated in this study to be €9,737 (derived from a previous study, NCT02813317). The cost of the Prosigna test, as defined by the reimbursement system, was €1,849. RESULTS: Among the 809 patients included in this study, 2.3 Prosigna tests had to be performed to avoid adjuvant chemotherapy for one patient. The number of tests that had to be performed to avoid chemotherapy for one patient was higher for patients with grade 3 tumors and pN1mic axillary node involvement and lower for grade 1 tumors or in the absence of axillary node involvement (pN0), but did not vary according to the 10-year overall survival gain predicted by the Predict online test. The cost saving related to withholding of adjuvant chemotherapy for one patient on the basis of the Prosigna test results was €5,485. CONCLUSION: We present one of the largest cohorts of HR + , HER2- BC patients at intermediate risk of recurrence, in whom a Prosigna test was used to guide the adjuvant therapy decision in a real-life setting, resulting in a 44% decrease in the indication for chemotherapy.

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Gastric cancer is globally the fifth leading cause of cancer death. We present a case report describing the unique genomic characteristics of an Epstein-Barr virus-negative gastric cancer with esophageal invasion and regional lymph node metastasis. Genomic tests were performed first with the stomach biopsy using platforms FoundationOne, OncoDNA, and Oncopanel at Dana Farber Institute. Following neoadjuvant chemotherapy, residual tumor was resected and the stomach and esophageal residual tumor samples were compared with the initial biopsy by whole exome sequencing and molecular pathway analysis platform Oncobox. Copy number variation profiling perfectly matched the whole exome sequencing results. A moderate agreement was seen between the diagnostic platforms in finding mutations in the initial biopsy. Final data indicate somatic activating mutation Q546K in PIK3CA gene, somatic frameshifts in PIH1D1 and FBXW7 genes, stop-gain in TP53BP1, and a few somatic mutations of unknown significance. RNA sequencing analysis revealed upregulated expressions of MMP7, MMP9, BIRC5, and PD-L1 genes and strongly differential regulation of several molecular pathways linked with the mutations identified. According to test results, the patient received immunotherapy with anti-PD1 therapy and is now free of disease for 2 years. Our data suggest that matched tumor and normal tissue analyses have a considerable advantage over tumor biopsy-only genomic tests in stomach cancer.

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The net benefit from investing in any technology is a function of the cost of implementation and the expected return in revenue. The objective of the present study was to quantify, using deterministic equations, the net monetary benefit from investing in genotyping of commercial females. Three case studies were presented reflecting dairy cows, beef cows and ewes based on Irish population parameters; sensitivity analyses were also performed. Parameters considered in the sensitivity analyses included the accuracy of genomic evaluations, replacement rate, proportion of female selection candidates retained as replacements, the cost of genotyping, the sire parentage error rate and the age of the female when it first gave birth. Results were presented as an annualised monetary net benefit over the lifetime of an individual, after discounting for the timing of expressions. In the base scenarios, the net benefit was greatest for dairy, followed by beef and then sheep. The net benefit improved as the reliability of the genomic evaluations improved and, in fact, a negative net benefit of genotyping was less frequent when the reliability of the genomic evaluations was high. The impact of a 10% point increase in genomic reliability was, however, greatest in sheep, followed by beef and then dairy. The net benefit of genotyping female selection candidates reduced as replacement rate increased. As genotyping costs increased, the net benefit reduced irrespective of the percentage of selection candidates kept, the replacement rate or even the population considered. Nonetheless, the association between the genotyping cost and the net benefit of genotyping differed by the percentage of selection candidates kept. Across all replacement rates evaluated, retaining 25% of the selection candidates resulted in the greatest net benefit when genotyping cost was low but the lowest net benefit when genotyping cost was high. Genotyping breakeven cost was non-linearly associated with the percentage of selection candidates retained, reaching a maximum when 50% of selection candidates were retained, irrespective of replacement rate, genomic reliability or the population. The genotyping breakeven cost was also non-linearly associated with replacement rate. The approaches outlined within provide the back-end framework for a decision support tool to quantify the net benefit of genotyping, once parameterised by the relevant population metrics.

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PURPOSE: Genomic tests can identify ER-positive HER2-negative localized breast cancer patients who may not benefit from adjuvant chemotherapy. Such tests seem especially interesting in "intermediate" clinico-pathological risk categories. The psychological impact of the decision uncertainty in these women remains largely unexplored. We assessed the clinical and psychological impact of EndoPredict® (EpClin), a clinico-genomic test, in these patients. METHODS: This multicenter, single arm prospective study (NCT02773004) enrolled patients for which adjuvant chemotherapy was uncertain, based on predefined criteria. The primary endpoint was the proportion of change between initial adjuvant decision and final administration of chemotherapy. Secondary endpoints included post-test (Day 17) and 1-year patient reported outcomes. RESULTS: One third of 200 evaluable patients had a high EpClin score (≥3.32867; 10 years cumulative risk of distance failure ≥10%). The overall change rate of chemotherapy decision was 72/200 (35.8%, 95% CI 29.2-42.4). Chemotherapy was withdrawn in 57 cases (28.4% [22.2-34.8]) and added in 15 (7.5% [3.8-11.2]. 6 changes (8%) were based on patients' decisions. Anxiety and distress levels increased at Day 17 when adding chemotherapy after the test result (p < 10-7 and 0.00022 respectively), while stable in other situations. At 1-year, all patients had returned to the baseline anxiety and distress levels (mean anxiety 51.5, +/- SD = 2.5 [max. 80], mean distress 3±1 [max. 10]). CONCLUSIONS: EndoPredict ® (EpClin) is clinically useful in deciding whether or not to administer adjuvant chemotherapy in patients with intermediate risk. A single-step decision is preferable since adding chemotherapy at a later stage increases anxiety and distress.

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OBJECTIVE: To carry out a cost-utility analysis of the application of the Oncotype genomic test to inform the decision to use or not to use chemotherapy in the Basque Country (Spain). METHOD: The cost-utility study was carried out using a discrete event simulation model representing the natural history of breast cancer. The decision of treatment with chemotherapy based on Oncotype was compared with the standard of treatment based on clinical-pathological criteria. The model included clinical data from Basque hospitals and the literature and was processed by deterministic and probabilistic analysis to calculate the incremental cost-effectiveness ratio (ICER), the cost-effectiveness plane, the acceptability curve and the expected value of perfect information. The study adopted both a health and societal perspective. RESULTS: From a health perspective, the deterministic analysis estimated an ICER for Oncotype of 17,453 euros/quality-adjusted life year (QALY), discount included, and 9,613 euros/QALY without the discount. Eighty five percent (85%) of the simulations were below the efficiency threshold for Spain. The parametric variability associated with the Oncotype results was the main uncertainty factor in the decision. CONCLUSIONS: Oncotype is a cost-effective intervention from a health system perspective since each QALY gained costs less than 25,000 euros. From a societal perspective, it is dominant since it provides greater health and is accompanied by cost savings.

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BACKGROUND: Known collectively as breast fibroepithelial lesions (FELs), the common fibroadenomas (FAs) and the rarer phyllodes tumors (PTs) are a heterogenous group of biphasic neoplasms. Owing to limited tissue availability, inter-observer variability, overlapping histological features and heterogeneity of these lesions, diagnosing them accurately on core biopsies is challenging. As the choice management option depends on the histological diagnosis; a novel 16-gene panel assay was developed to improve the accuracy of preoperative diagnosis on core biopsy specimens. METHODS: Using this 16-gene panel, targeted amplicon-based sequencing was performed on 275 formalin-fixed, paraffin-embedded (FFPE) breast FEL specimens, archived at the Singapore General Hospital, from 2008 to 2012. RESULTS: In total, 167 FAs, 24 benign, 14 borderline and 6 malignant PTs, were profiled. Compared to FAs, PTs had significantly higher mutation rates in the TERT promoter (p <  0.001), RARA (p <  0.001), FLNA, RB1 and TP53 (p = 0.002, 0.020 and 0.018, respectively). In addition to a higher mutational count (p <  0.001), TERT promoter (p <  0.001), frameshift, nonsense and splice site (p = 0.001, < 0.001 and 0.043, respectively) mutations were also frequently observed in PTs. A multivariate logistic regression model was built using these as variables and a predictive scoring system was developed. It classifies a FEL at low or high risk (score <  1 and ≥ 1, respectively) of being a PT. This scoring system has good discrimination (ROC area = 0.773, 95% CI: 0.70 to 0.85), calibration (p = 0.945) and is significant in predicting PTs (p <  0.001). CONCLUSION: This novel study demonstrates the ability to extract DNA of sufficient quality and quantity for targeted sequencing from FFPE breast core biopsy specimens, along with their successful characterization and profiling using our customized 16-gene panel. Prospective work includes validating the utility of this promising 16-gene panel assay as an adjunctive diagnostic tool in clinical practice.

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PURPOSE: Gene expression profiling (GEP) test scores calculate risks of recurrence and likely benefit of adjuvant chemotherapy in ER-positive, HER2-negative, early-stage breast cancer. As health literacy and numeracy skills in the general population are poor, healthcare professionals (HCPs) require a wide repertoire of communication skills to explain clearly risk of recurrence scores (RSs) and uncertainty. We developed and evaluated an educational program for HCPs discussing GEP test results and adjuvant treatment. METHODS: Eight-hour workshops contained elements aimed at improving knowledge, communication skills and self-awareness; these included the science underpinning GEP tests, an interactive risk psychology lecture, exercises and facilitated group discussions regarding seven filmed scenarios involving discussions about high, intermediate and low RSs. Attendees were recorded explaining RSs with patient simulators pre and post workshop. Researchers, blinded to time point, analysed recordings using a study-specific scoring system. Primary objective outcomes were improvements post workshop in HCPs' competence and confidence when communicating 17 pre-specified key information areas. We estimated odds ratios (OR) using conditional logistic regression to compare pre- and post-workshop scores. RESULTS: 65 HCPs attended. Objective analyses revealed significant positive shifts post workshop which included explaining GEP tests (OR 2.98; 95% CI 1.38-6.42; P = .001), recurrence RSs (OR 3.99; 95% CI 1.72-9.25; P < .001), benefits of chemotherapy (OR 3.99; 95% CI 1.82-8.75; P < .001; and harms OR 2.31; 95% CI 1.37-3.92; P < .001) using jargon free language (OR 5.29; 95% CI 2.27-12.35; P < .001). Patient simulator assessments also showed significant improvements as did HCPs' self-assessments and ratings of their self-confidence when discussing different GEP tests with diverse patient types (P < .001). CONCLUSION: These short, intensive, interactive TARGET workshops significantly improved HCPs' communication about GEP results in ways likely to promote more informed decision-making by patients about chemotherapy.

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We have developed a clinically validated NGS assay that includes tumor, germline and RNA sequencing. We apply this assay to clinical specimens and cell lines, and we demonstrate a clinical sensitivity of 98.4% and positive predictive value of 100% for the clinically actionable variants measured by the assay. We also demonstrate highly accurate copy number measurements and gene rearrangement identification.

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Gut flora has personal characteristics for each individual, similar to the fingerprints, consisting of a special mixture of bacterial species living in the intestines, now referred to as the gut microbiome. There is a strong correlation between the loss of microbial diversity and the functional bowel disorders, obesity, type 2 diabetes and cardiovascular disease as well as many autoimmune disorders. With genetic testing of stool diversity of the gut microbiome and exact analysis of the species and phylogenetic classification of the gut flora, the changes of diversity can be identified and the overgrowth of some bacteria can be revealed. In cases with pre- and manifest hypertension, an overgrowth of species from the phylum Firmicutes has been reported along with the relative decline of the phylum Bacteroidetes as opposed with cases of normotension. At the same time, the physiological balance among bacterial families was lost. According to the first studies, there is a correlation between hypertension and the lost balance of the gut microflora, both in animal experiments and in the human clinical setting. This evidence also suggests that targeted dietary alteration of the gut microbiome can be a new innovative approach in the treatment of hypertension. Orv Hetil. 2018; 159(9): 346-351.

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AIM: To evaluate the use of the MammaPrint assay, a 70-gene risk signature for early breast cancers, and to correlate genomic risk stratification with individual clinicopathological parameters and clinical risk as assessed by Adjuvant! Online. METHODS: A Dutch Pathology Registry (PALGA)-based cohort study consisting of 1916 patients for which 1946 MammaPrint assay results were synoptically reported from 2013 to 2016. We could retrospectively assess clinical risk for 1146 tumors (58.9%) using Adjuvant! Online (version 8.0 with HER2 status) and for 1155 tumors (59.4%) using PREDICT (version 2.0). RESULTS: Adjuvant! Online classified 718 tumors (62.7%) as clinical low risk and 428 tumors (37.3%) as clinical high risk. MammaPrint classified 1206 tumors (62.0%) as genomic low risk and 740 tumors (38.0%) as genomic high risk. Genomic risk stratification was significantly associated with histological subtype and grade (P < .001), hormonal receptor status (P < .001), presence of lymphovascular invasion (P = .001) and nodal status (P = .002), whereas no association was found with tumor size (P = .541). MammaPrint classified 52.6% of clinical high risk tumors (N = 428) as genomic low risk. This percentage was highest (67.3%) in clinical high risk ER-positive/HER2-negative grade 1-2 tumors (N = 282). Correlation between predicted overall survival benefit from adjuvant chemotherapy (PREDICT V2.0) and genomic risk distribution was almost linear. CONCLUSIONS: This study showed that MammaPrint classified 52.6% of clinical high risk tumors as genomic low risk. In the Netherlands, 62.7% of the MammaPrint assays from 2013 to 2016 were performed on clinical low risk tumors, although recent International Guidelines recommend its use in clinical high and intermediate risk tumors.

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The use of molecular signatures to add value to standard clinical and pathological parameters has impacted clinical practice in many cancer types, but perhaps most notably in the breast cancer field. This is, in part, due to the considerable complexity of the disease at the clinical, morphological and molecular levels. The adoption of molecular profiling of DNA, RNA and protein continues to reveal important differences in the intrinsic biology between molecular subtypes and has begun to impact the way patients are managed. Several bioinformatic tools have been developed using DNA or RNA-based signatures to stratify the disease into biologically and/or clinically meaningful subgroups. Here, we review the approaches that have been used to develop gene expression signatures into currently available diagnostic assays (e.g., OncotypeDX® and Mammaprint®), plus we describe the latest work on genome sequencing, the methodologies used in the discovery process of mutational signatures, and the potential of these signatures to impact the clinic.

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INTRODUCTION: The adoption of precision medicine (PM) has been limited in practice to date, and yet its promise has attracted research investments. Developing foundational economic approaches for directing proper use of PM and stimulating growth in this area from multiple perspectives is thus quite timely. METHODS: Building on our previously developed expected value of individualized care (EVIC) framework, we conceptualize new decision-relevant metrics to better understand and forecast the expected value of PM. Several aspects of behavior at the patient, physician, and payer levels are considered that can inform the rate and manner in which PM innovations diffuse throughout the relevant population. We illustrate this framework and the methods using a retrospective evaluation of the use of OncotypeDx genomic test among breast cancer patients. RESULTS: The enriched metrics can help inform many facets of PM decision making, such as evaluating alternative reimbursement levels for PM tests, implementation and education programs for physicians and patients, and decisions around research investments by manufacturers and public entities. We replicated prior published results on evaluation of OncotypeDx among breast cancer patients but also illustrated that those results are based on assumptions that are often not met in practice. Instead, we show how incorporating more practical aspects of behavior around PM could lead to drastically different estimates of value. CONCLUSION: We believe that the framework and the methods presented can provide decision makers with more decision-relevant tools to explore the value of PM. There is a growing recognition that data on adoption is important to decision makers. More research is needed to develop prediction models for potential diffusion of PM technologies.

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