Sex-related differences in serum biomarker levels predict the activity and efficacy of immune checkpoint inhibitors in advanced melanoma and non-small cell lung cancer patients.

BACKGROUND: Immune Checkpoint Inhibitors (ICIs) lead to durable response and a significant increase in long-term survival in patients with advanced malignant melanoma (MM) and Non-Small Cell Lung Cancer (NSCLC). The identification of serum cytokines that can predict their activity and efficacy, and their sex interaction, could improve treatment personalization. METHODS: In this prospective study, we enrolled immunotherapy-naïve patients affected by advanced MM and NSCLC treated with ICIs. The primary endpoint was to dissect the potential sex correlations between serum cytokines (IL-1ß, IL-2, IL-4, IL-5, IL-6, IL-8, IL-10, GM-CSF, MCP-1, TNF-ɑ, IP-10, VEGF, sPD-L1) and the objective response rate (ORR). Secondly, we analyzed biomarker changes during treatment related to ORR, disease control rate (DCR), progression free survival (PFS) and overall survival (OS). Blood samples, collected at baseline and during treatment until disease progression (PD) or up to 2 years, were analyzed using Luminex xMAP or ELLA technologies. RESULTS: Serum samples from 161 patients (98 males/63 females; 92 MM/69 NSCLC) were analyzed for treatment response. At baseline, IL-6 was significantly lower in females (F) versus males (M); lower levels of IL-4 in F and of IL-6 in both sexes significantly correlated with a better ORR, while higher IL-4 and TNF-ɑ values were predictive of a lower ORR in F versus M. One hundred and sixty-five patients were evaluable for survival analysis: at multiple Cox regression, an increased risk of PD was observed in F with higher baseline values of IL-4, sPD-L1 and IL-10, while higher IL-6 was a negative predictor in males. In males, higher levels of GM-CSF predict a longer survival, whereas higher IL-1ß predicts a shorter survival. Regardless of sex, high baseline IL-8 values were associated with an increased risk of both PD and death, and high IL-6 levels only with shorter OS. CONCLUSIONS: Serum IL-1ß, IL-4, IL-6, IL-10, GM-CSF, TNF-ɑ, and sPD-L1 had a significant sex-related predictive impact on ORR, PFS and OS in melanoma and NSCLC patients treated with ICIs. These results will potentially pave the way for new ICI combinations, designed according to baseline and early changes of these cytokines and stratified by sex.

Cytokine and soluble programmed death-ligand 1 levels in serum and plasma of cancer patients treated with immunotherapy: Preanalytical and analytical considerations.

AIM: To evaluate cytokine and soluble programmed death ligand-1 (sPD-L1) levels in the serum and plasma of cancer patients treated with immunotherapy, and to test different assays. METHODS: Three Luminex xMAP assays and two ELLA microfluidic cartridges were used to screen 28 immune-related biomarkers in 38 paired serum and citrate-theophylline-adenosine-dipyridamole (CTAD) plasma samples collected from 10 advanced melanoma or non-small cell lung cancer (NSCLC) patients at different time points during immunotherapy. RESULTS: Twenty-three of 28 biomarkers were detected both in serum and plasma by at least one of the assays, including IL-1ß, IL-2, IL-4, IL-5, IL-6, IL-8, IL-10, IL-12p70, GM-CSF, IFN-γ, TNF-α, VEGF, IP-10, MCP-1, eotaxin, fractalkine, G-CSF, IFN-α, IL-1RA, IL-13, IL-17A, MIP-1ß and sPD-L1. Conversely, FGF-2 and IL-1α were not detected in both matrices; GRO-α factor and EGF were detected only in serum and MIP-1α only in plasma. sPD-L1, MCP-1, IFN-γ, IL-8, MIP-1ß and VEGF were, respectively, 1.15-, 1.44-, 1.83-, 2.43-, 2.82-, 6.72-fold higher in serum, whereas IL-10, IL-4, IL-2 and IL-5 were 1.05-, 1.19-, 1.92- and 2.17-fold higher, respectively, in plasma. IP-10 levels were higher in plasma but, as well as for VEGF, the bias serum versus plasma varied depending on the assay used (IP-10: -5.7% to -145%; VEGF: 115% to 165%). No significant differences were found for the remaining nine analyzed cytokines. CONCLUSION: The cytokine and sPD-L1 levels may differ between serum and plasma samples collected from cancer patients treated with immunotherapy, and the results obtained can be influenced by the different characteristics of the tested assays. The standardization of pre-analytical and analytical procedures is therefore needed for the future implementation of these circulating biomarkers in clinical practice.

Overordering of tumor marker for outpatients revealed by performance indicators and the impact of a health policy intervention: An observational study using administrative records.

PURPOSE: The overuse of laboratory tests contributes to impair health systems effectiveness, tumor markers (TMs) being a paradigmatic example. In the present study we applied indicators of TMs appropriateness developed from administrative datasets to appraise regionwide overordering in the clinical practice. PATIENTS AND METHODS: TMs ordered to outpatients in the Veneto Region over 6 years were obtained from the eletronic Outpatients' Records of Diagnostic and Therapeutic Procedures. TMs orders were examined as aggregated data or stratified according to disease codes, gender, age, and requests per patient. TMs recommended only for specific malignancies were examined using epidemiological data obtained from Veneto Tumor Registry. RESULTS: A total of 5,821,251 TMs were ordered in 4,382,159 patients over 6 years. Overall, 3,252,389 (55.9%) TMs were ordered without appropriate disease codes (ranging from 77.0% for PSA to 17.5% for CA15.3). TM orders declined over 6 years (-13.4%), with a noticeable reduction of orders without appropriate disease codes (-21.3%). Orders decreased sharply from 2015 to 2016, after the enactment of a national Decree-Law aimed at improving appropriateness, and remained stable thereafter. However, the rate of inappropriate TMs requests still remained elevated (44.4%) in the last year of observation, with orders of TMs being much higher than expected on the basis of prevalence and incidence figures of specific malignancies. CONCLUSIONS: Indicators developed from administrative datasets were effective in assessing the overordering of TMs and the impact of interventions to improve appropriateness. The developed indicators could be considered for other diagnostic tests.

Use of Routine Health Datasets to Assess the Appropriateness of Diagnostic Tests in the Follow-Up of Breast Cancer Patients: A Population-Based Study on 3930 Patients.

Purpose: Clinical practice guidelines (CPGs) recommend against intensive follow-up in asymptomatic women with breast cancer (BC). The present study assessed the adherence to CPGs of diagnostic tests ordering during BC follow-up by exploring routinely collected health data through an algorithm developed to distinguish patients according to their status at follow-up. Patients and Methods: A retrospective population-based cohort study was performed monitoring the diagnostic tests ordered during 5 years of follow-up in all BC cases incident in 2013 in the Veneto Region, Italy. Data were extracted from the Veneto Tumour Registry, the Hospital Discharge Records and the Outpatients' Records of Diagnostic and Therapeutic Procedures. The algorithm was developed using information on infusion of anticancer agents, imaging exams ordered, and death. Results: The algorithm classified patients by status at follow-up in four groups: (i) probably no-evidence-of-disease (NED), (ii) suspicious signs of relapse not confirmed, (iii) increased risk of relapse and (iv) advanced disease at presentation or progressive disease. A total of 3930 consecutive incident cases were followed-up for 5 years, corresponding to 17,184 person-years, 15,345 of which pertaining to NED cases. In NED cases, 32,900 tumour markers and 15,858 imaging exams were ordered. Liver ultrasonography and chest radiography were most frequently ordered. Conclusion: In contrast with recommendations of CPGs, a substantial overordering of tumour markers and imaging exams occurred in NED BC patients. The developed algorithm can be repeatedly applied to routine health datasets for regular monitoring of the adherence to CPGs and of the impact of interventions to improve appropriateness.

Phenomapping of Patients with Primary Breast Cancer Using Machine Learning-Based Unsupervised Cluster Analysis.

Primary breast cancer (PBC) is a heterogeneous disease at the clinical, histopathological, and molecular levels. The improved classification of PBC might be important to identify subgroups of the disease, relevant to patient management. Machine learning algorithms may allow a better understanding of the relationships within heterogeneous clinical syndromes. This work aims to show the potential of unsupervised learning techniques for improving classification in PBC. A dataset of 712 women with PBC is used as a motivating example. A set of variables containing biological prognostic parameters is considered to define groups of individuals. Four different clustering methods are used: K-means, self-organising maps, hierarchical agglomerative (HAC), and Gaussian mixture models clustering. HAC outperforms the other clustering methods. With an optimal partitioning parameter, the methods identify two clusters with different clinical profiles. Patients in the first cluster are younger and have lower values of the oestrogen receptor (ER) and progesterone receptor (PgR) than patients in the second cluster. Moreover, cathepsin D values are lower in the first cluster. The three most important variables identified by the HAC are: age, ER, and PgR. Unsupervised learning seems a suitable alternative for the analysis of PBC data, opening up new perspectives in the particularly active domain of dissecting clinical heterogeneity.

The appropriate use of circulating EBV-DNA in nasopharyngeal carcinoma: Comprehensive clinical practice guidelines evaluation.

BACKGROUND: In EBV-related nasopharyngeal carcinoma (NPC), quantitative determination of circulating EBV-DNA (cEBV-DNA) can potentially be applied as disease marker. The aim of the study was to investigate if the clinical utility of cEBV-DNA is established in clinical practice guidelines and if recommendations are provided to standardize the quantitative cEBV-DNA determination. METHODS: A systematic literature search for NPC guidelines published since 2011 was performed. Information for cEBV-DNA detection method and use in clinical practice was synthesized in consecutive steps of increasing simplification. RESULTS: From 570 titles and abstracts identified by the search, 16 guidelines were included. The selected documents were further clustered as either being based on a systematic literature revision to generate recommendations (4/16) or not (12/16). cEBV-DNA was evaluated in only one guideline based on a systematic revision and in 8 guidelines without systematic revision. Half of available guidelines provide recommendation for its clinical use. Methodological issues on cEBV-DNA determination are discussed by 31% of guidelines, without providing any recommendation on method standardization. CONCLUSIONS: Due to its prognostic value, cEBV-DNA is suggested in the pre-treatment work-up and in the follow-up. Guideline producers need to take into more consideration methodological aspects impacting the actual reliability and generalizability of laboratory results.

DSCAM-AS1-Driven Proliferation of Breast Cancer Cells Involves Regulation of Alternative Exon Splicing and 3'-End Usage.

DSCAM-AS1 is a cancer-related long noncoding RNA with higher expression levels in Luminal A, B, and HER2-positive Breast Carcinoma (BC), where its expression is strongly dependent on Estrogen Receptor Alpha (ERα). DSCAM-AS1 expression is analyzed in 30 public datasets and, additionally, by qRT-PCR in tumors from 93 BC patients, to uncover correlations with clinical data. Moreover, the effect of DSCAM-AS1 knockdown on gene expression and alternative splicing is studied by RNA-Seq in MCF-7 cells. We confirm DSCAM-AS1 overexpression in high grade Luminal A, B, and HER2+ BCs and find a significant correlation with disease relapse. In total, 908 genes are regulated by DSCAM-AS1-silencing, primarily involved in the cell cycle and inflammatory response. Noteworthily, the analysis of alternative splicing and isoform regulation reveals 2085 splicing events regulated by DSCAM-AS1, enriched in alternative polyadenylation sites, 3'UTR (untranslated region) shortening and exon skipping events. Finally, the DSCAM-AS1-interacting splicing factor heterogeneous nuclear ribonucleoprotein L (hnRNPL) is predicted as the most enriched RBP for exon skipping and 3'UTR events. The relevance of DSCAM-AS1 overexpression in BC is confirmed by clinical data and further enhanced by its possible involvement in the regulation of RNA processing, which is emerging as one of the most important dysfunctions in cancer.

State of the art and trends of circulating cancer biomarkers.

The role of biomarkers is crucial in oncology for both early diagnosis and the personalization of cancer treatments. Tissue biomarkers have gained a central role as predictors of the response to an increasing number of anticancer agents; conversely, the clinical role of circulating biomarkers (c-TMs) is limited and has remained almost unchanged over the years. The position of guidelines is summarized and discussed with reference to the potential usefulness of c-TMs in those areas of application that cannot be covered by tissue biomarkers. The pipeline of translational research on biomarkers is briefly described; the differences among analytical validation, clinical validation, and clinical utility are discussed, emphasizing that the assessment of clinical utility is the ultimate step toward clinical use. The role of monitoring of appropriateness as a proxy indicator of how the research pipeline has actually worked is discussed, and data and c-TMs overordering rates are reported. The role and limits of guidelines to influence appropriate c-TMs ordering are discussed. The design of primary studies on c-TMs is examined, underlining that they mainly focus on clinical validation rather than on clinical utility. The role of regulatory boards is also briefly presented and discussed.

ELISA assay employing epitope-specific monoclonal antibodies to quantify circulating HER2 with potential application in monitoring cancer patients undergoing therapy with trastuzumab.

Circulating HER2 extracellular domain (HER2 ECD) levels were proposed as a surrogate for HER2 tissue expression to monitor breast cancer patients for early relapse or responses to standard or HER2-targeted therapies, such as the monoclonal antibody (mAb) trastuzumab. Currently, available commercial ELISA assays for HER2 ECD rely on antibodies recognizing undisclosed or unknown epitopes. In this work, two ELISA assays employing MGR2 and MGR3 epitope-specific mAbs for HER2 ECD were developed and validated, showing good assay precision and linearity of the dose-response signal within the dynamic range of 0.19-12.50 ng mL-1 and detection limits of 0.76 and 0.75 ng mL-1 for the MGR2 and MGR3 assays, respectively. The developed assay showed a good agreement with two widely used commercial kits for HER2 ECD quantification in serum samples from breast cancer patients. A complete characterization of mAb-HER2 ECD interaction was performed by means of surface plasmon resonance using trastuzumab as control for both epitope mapping and kinetics analysis. The epitopes recognized by the two mAbs showed no overlap with trastuzumab, which was confirmed by trastuzumab interference analysis in serum samples. The method showed to be a practical approach to determine HER2 ECD with a high degree of sensitivity, reliability and recovery in samples containing mAbs-based therapies.

Serum Tumor Markers in Paraneoplastic Neurologic Syndromes: A Systematic Review of Guidelines.

Purpose: Algorithms for the detection of a malignancy in patients with unclear neurologic symptoms of suspicious paraneoplastic origins are not universally applied. Frequently, circulating tumor markers (TMs) are considered a valuable tool for cancer diagnosis in patients with paraneoplastic neurologic syndromes (PNS). Our aim was to extract the recommendations on the use of TMs and onconeural antibodies (Abs) for the diagnosis of malignancies in PNS from clinical practice guidelines and put them forward as evidence in a common framework to facilitate diffusion, dissemination, and implementation. Methods: Systematic literature searches were performed for guidelines on both oncology and PNS published since 2007. Guidelines containing information and recommendations for clinical practice pertaining to the screening and diagnosis of PNS were selected. Information on circulating TMs and onconeural Abs was extracted and synthesized in consecutive steps of increasing simplification. Results: We retrieved 799 eligible guidelines on oncology for the potential presence of information on PNS but only six covered treated diagnosis or the screening of cancer in PNS, which were then selected. Seventy-nine potentially relevant guidelines on PNS were identified as eligible and 15 were selected. Synoptic tables were prepared showing that classical TMs are not recommended for the screening or the diagnosis of a malignancy in patients with a suspected PNS. Neither should onconeural Abs be considered to screen for the presence of a malignancy, although they could be helpful to define the probability of the paraneoplastic origin of a neurologic disorder. Conclusion: The present work of synthesis may be a useful tool in the diffusion, dissemination, and implementation of guideline recommendations, potentially facilitating the decrease of the inappropriate use of circulating biomarkers for cancer screening in the presence of PNS.

Insufficient uptake of systematic search methods in oncological clinical practice guideline: a systematic review.

BACKGROUND: The use of systematic review methods are widely recognized to be essential in the development of recommendations in clinical practice guidelines to prove their trustworthiness. The objective of this study was to assess the use of systematic search methods by authors of guidelines published in the oncology field. METHODS: We analyzed 590 guidance documents identified in PubMed, NGC, GIN and web sites for guidelines in 2009-2015 in oncology. The main outcome measure used was incidence of guidance documents supported by a systematic search of the literature. In addition to descriptive analyses, logistic regression was used to evaluate if adequate search methods were explained by guideline characteristics. RESULTS: Of 590 guidance documents included in the study, 305 (51.7%) declared the use of systematic search methods but only 168 (28.5%) applied methods meeting minimum standards for quality and provided sufficient details to allow classification. 164 (27.8%) guidance documents did not report any use of literature evaluation. Guidance documents produced by a Government Agency in North America (OR 2.16, 95% CI 1.16-4.17) and those with a focused scope (OR 2.35, 95% CI 0.97-5.56) were positively associated with the use of systematic search methods. We found no association between the year of publication and use of systematic search methods. CONCLUSIONS: A relatively small number of guidance documents was informed by scientific evidence identified through adequate systematic search methods. We observed substantial room for improvement of applied methods and reporting, especially in documents with a broad focus, or those produced by professional societies or independent expert panels in other continents than North America.

Shed HER2 surrogacy evaluation in primary breast cancer patients: a study assessing tumor tissue HER2 expression at both extracellular and intracellular levels.

The aim of the present study was to investigate serum HER2 extracellular domain (ECD) as a putative surrogate marker of the shedding phenomenon of HER2 receptor from the tumor tissue of primary breast cancer (BC) patients. A pilot retrospective study was conducted on 100 matched serum and tissue samples from patients with node-positive primary BC, stage II/III. Analysis of association and concordance between serum HER2 ECD levels (measured by chemiluminescence immunoassay) and the expression in matched tumor tissue of HER2 ECD and intracellular receptor domain (ICD) (determined by immunohistochemistry) were performed. The median serum HER2 ECD level was 9.4 ng/ml and cutoff values were set at 15.2 ng/ml or 13.0 ng/ml. HER2 ICD and ECD were overexpressed in tumor tissue of 19.8% and 6.9% of patients, respectively. Statistically significant associations were found between serum HER2 ECD levels and tissue expression of both HER2 ICD and ECD (p < .001; Fisher analysis). Moreover, strong concordances were found between serum HER2 ECD levels and tissue expression of HER2 ICD or ECD (cutoff 15.2 ng/ml: 80 and 92.5%, respectively). Our findings support a role for serum HER2 ECD as a surrogate marker of tissue HER2 status in primary BC, both for HER2 ICD or ECD expression.

Preanalytical stability of [-2]proPSA in whole blood stored at room temperature before separation of serum and plasma: implications to Phi determination.

Background [-2]proPSA seems to outperform free/total prostate-specific antigen (PSA) ratio in prostate cancer diagnosis. However, [-2]proPSA stability remains an underestimated issue. We examined [-2]proPSA stability over time in whole blood before separation of serum and plasma and its implications for prostate health index (Phi) determination. Total PSA (tPSA) and free PSA (fPSA) stabilities were also assessed. Methods Blood was drawn from 26 patients and separated in two tubes for plasma (K2EDTA and K2EDTA plus protease inhibitors - P100) and one for serum (clot activator plus gel separator). Tubes were stored at room temperature before centrifugation 1, 3 and 5 h for serum and EDTA plasma or 1 and 5 h for P100 plasma. To investigate the influence of gel separator on markers' stability, blood was collected from 10 patients in three types of tubes to obtain serum: tubes with clot activator plus gel separator, with silica particles or glass tubes. Biomarkers were assayed with chemiluminescent immunoassays. Results [-2]proPSA and Phi levels significantly and progressively increased over time in serum (+4.81% and +8.2% at 3 h; +12.03% and +14.91% at 5 h, respectively, vs. 1 h; p<0.001). Conversely, [-2]proPSA levels did not change in plasma (EDTA or P100). tPSA levels did not change over time in serum or plasma, whereas fPSA decreased in serum. All markers were higher in plasma than in serum at any time point. This difference did not seem to be attributable to the use of gel for serum preparation. Conclusions EDTA prevented spurious in vitro modifications in PSA-related isoforms, confirming that a stabilized blood sample is a prerequisite for [-2]proPSA measurement and Phi determination.

Correction to: Observational study on the prognostic value of testosterone and adiposity in postmenopausal estrogen receptor positive breast cancer patients.

Following publication of the original article [1], the authors reported that the affiliation of author Annalisa Orenti was omitted.

Observational study on the prognostic value of testosterone and adiposity in postmenopausal estrogen receptor positive breast cancer patients.

BACKGROUND: Despite the clear endocrine-metabolic relationship between androgenic activity and adiposity, the role of androgens in breast cancer prognosis according to patient's adiposity is scarcely explored. Here, we aimed at investigating the prognostic value of circulating testosterone in association with patient's body mass index (BMI). METHODS: Circulating testosterone and BMI were evaluated at breast cancer diagnosis in 460 estrogen receptor (ER)-positive postmenopausal patients. Local relapse, distant metastasi(e)s and contralateral breast cancer were considered recurrence events. The Kruskal-Wallis test was performed to evaluate if testosterone levels differed within subgroups of categorical tumour characteristics. The Cox proportional hazard regression model was fitted to estimate the impact of standard prognostic factors on relapse-specific hazard ratio (HR). After backward selection, a model including continuous testosterone level, BMI categories (< 25, normal-weight; =25-30, overweight; ≥30 kg/m2, obese), tumour size and lymph nodes number was fitted. Furthermore, Cox models provided the relapse-specific HRs for median, third quartile and 95th percentile compared to the first quartile of testosterone levels, stratified by BMI categories. RESULTS: During a median follow up of 6.3 years, 45 patients relapsed. Testosterone levels significantly increased across BMI categories (p = 0.001). Both circulating testosterone and BMI were positively associated with disease free survival (p = 0.005 and p = 0.021, respectively). A significant interaction was found between testosterone and BMI (p = 0.006). For normal-weight women, testosterone concentration around median (0.403 ng/mL) or third quartile (0.532 ng/mL) showed a high significant HR of relapse (5.52; 95% CI:1.65-18.49 and 4.55; 95% CI:1.09-18.98, respectively). Overweight patients showed increased HR at increasing testosterone levels, reaching a significant high HR (4.68; 95% CI:1.39-15.70) for testosterone values of 0.782 ng/mL (95th percentile). For obese patients HR decreased (not significantly) at increased testosterone concentrations, explaining the interaction between testosterone levels and BMI categories. CONCLUSIONS: In ER-positive postmenopausal breast cancer patients, high testosterone levels are associated with worse prognosis in normal-weight and overweight women, whereas in obese seems to be associated with a better outcome. Although the results require further validation, they suggest that assessment of circulating testosterone and BMI could help to identify postmenopausal ER-positive patients at higher risk of relapse and potentially open new therapeutic strategies.

Phytosome complex of curcumin as complementary therapy of advanced pancreatic cancer improves safety and efficacy of gemcitabine: Results of a prospective phase II trial.

A large body of biomedical evidence indicates that activation of Nrf2 by curcumin increases the nucleophilic tone and damps inflammation cumulatively supporting the malignant phenotype. Conversely, genetic analyses suggest a possible oncogenic nature of constitutive Nrf2 activation since an increased nucleophilic tone is alleged increasing chemoresistance of cancer cells. Aiming to contribute to solve this paradox, this study addressed the issue of safety and efficacy of curcumin as complementary therapy of gemcitabine on pancreatic cancer. This was a single centre, single arm prospective phase II trial. Patients received gemcitabine and Meriva®, a patented preparation of curcumin complexed with phospholipids. Primary endpoint was response rate, secondary endpoints were progression free survival, overall survival, tolerability and quality of life. Analysis of inflammatory biomarkers was also carried out. Fifty-two consecutive patients were enrolled. Forty-four (13 locally advanced and 31 metastatic) were suitable for primary endpoint evaluation. Median age was 66 years (range 42-87); 42 patients had Eastern Cooperative Oncology Group performance status 0-1. The median number of treatment cycle was 4.5 (range 2-14). We observed 27.3% of response rate and 34.1% of cases with stable disease, totalizing a disease control rate of 61.4%. The median progression free survival and overall survival were 8.4 and 10.2 months, respectively. Higher IL-6 and sCD40L levels before treatment were associated to a worse overall survival (p < 0.01). Increases in sCD40L levels after 1 cycle of chemotherapy were associated with a reduced response to the therapy. Grade 3/4 toxicity was observed (neutropenia, 38.6%; anemia, 6.8%). There were no significant changes in quality of life during therapy. In conclusion, the complementary therapy to gemcitabine with phytosome complex of curcumin is not only safe but also efficiently translate in a good response rate in first line therapy of advanced pancreatic cancer.

Appropriateness of tumor marker request: a case of study.

Appropriateness is crucial to provide efficient and high-quality health services at affordable costs. Laboratory medicine is a sector of special interest for the investigation of inappropriateness, due to the high rate of technological innovation and its pivotal role in many diseases and clinical settings. Some subjective aspects related to either the patient or physician seem to have a major role on inappropriateness rates. Given the psychological impact of cancer on both patients and physicians, tumor markers represent a case of study for appropriateness. The assessment of inappropriateness of laboratory tests has been focused mainly on ordering patterns. Appropriateness can barely be appraised by matching the requested test with the clinical problem because clinical information on the test requisition form is usually inadequate. Monitoring inappropriateness through individual clinical information may be feasible in inpatient (clinical data are available), while an indirect approach should be used for outpatients. To estimate inappropriateness in outpatients our group developed innovative models based on comparison between the actually ordered and expected requests of tumor marker, calculated according to recommendations of clinical practice guidelines (CPGs) applied to figures of cancer prevalence. The implementation of the model at national scale in Italy led to recognize a very high rate of overordering of tumor markers. The model was further focused by a dedicated algorithm to be adapted to different clinical conditions or organizational settings by applying performance indicators to cohort-wide structured information in electronic health records (EHRs). With this novel approach, we showed that inappropriateness is multifaceted even within the specific category of tumour markers. The model was effective in identifying both over- and underordering. Implementation of evidence based information and monitoring their impact on the clinical practice are parts of the same, multistage, process aimed at the progressive improvement of health care.

Epidemiology-based assessment of tumor marker overordering in breast cancer: an algorithm to examine different disease conditions.

Laboratory tests are frequently overused and have elevated inappropriateness rates. We previously developed a model to investigate the rate of utilization of tumor markers (TMs) in outpatients as an indirect indicator of inappropriateness. The model was based on the comparison between the number of actually ordered and expected tests, with the latter estimated on the basis of both epidemiological data and recommendations of available clinical practice guidelines.In this paper we propose an algorithm to distinguish prevalent cases without evidence of disease from those with metastatic spread, on the basis of both epidemiological and clinical information. The algorithm allows for a more precise prediction of the expected TM requests per year, to be compared with the actual number of requested TMs in order to assess possibly inappropriate overordering rates. Moreover, the implementation of the algorithm renders the epidemiologically based model more flexible to develop accurate indicators for appropriateness in the use of TMs in different stages of disease and for different clinical questions. A practical application with CA15.3 requests in breast cancer is presented.

Indicators of inappropriate tumour marker use through the mining of electronic health records.

RATIONALE, AIMS, AND OBJECTIVES: Although the issue of monitoring appropriateness of tumour markers (TMs) request in outpatients remains crucial, proper indicators are still demanding. The present study developed and explored indicators of inappropriate TM ordering in outpatients through the data mining of electronic health records (EHRs). METHODS: Carcinoembryonic antigen (CEA), alfa-fetoprotein (AFP), carbohydrate antigen (CA)125, CA15.3, CA19.9, and prostate-specific antigen (PSA) ordered in outpatients during a year were examined by mining EHRs of a Local Health Authority in Italy. Evidence-based criteria were used to develop performance indicators. Demographic and clinical information associated with TM orders were examined. RESULTS: A total of 80 813 TMs were ordered in 52 536 outpatients (1.54 markers/patient). Indicators related to disease codes, gender, age, and TM repetitions were developed, and their application showed that (1) CA15.3 and CEA are prevalently requested in patients with cancer (79.2% and 65.6%) whereas the other TMs are largely requested also in patients without cancer; (2) requests of PSA in women and of CA125 or CA15.3 in men are negligible; (3) although requests in people older than 80 years are relevant (16.4% of total), the highest rate of request of all markers occurs in patients aged 40 to 79 years; (4) CA15.3 and CEA are mainly requested in cancer cases between 50 and 79 years and AFP, CA19.9, and CA125 in those between 60 and 69 years; (5) <50% of PSA orders are associated with cancer code for all age intervals; and (6) multiple repetitions of AFP, CA125, CA15.3, CA19.9, and CEA are prevalent in cancer patients or benign diseases to which TMs are appropriate, whereas PSA repetitions occur mainly in patients without cancer. CONCLUSIONS: The developed indicators resulted suitable to monitor TM overordering in outpatients through the mining of EHRs. The present study is a first approach towards the use of big-data mining for TM appropriateness evaluation purposes.