A Scoping Review of Pharmacogenomic Educational Interventions to Improve Knowledge and Confidence.

OBJECTIVES: Poor knowledge and confidence in pharmacogenomics are key barriers to implementation. Education of future health care professionals is required to enhance appropriate use of pharmacogenomics; however, the optimal education approach is unclear. This systematic scoping review evaluates pharmacogenomic educational interventions to improve knowledge and confidence. FINDINGS: A total of 24 studies were included. Most (90%) studies delivered pharmacogenomic education to pharmacy students and consisted of didactic lectures and workshops with case studies. To supplement case studies, self or class aggregated (52%, 12 of 23), mock (43%, 10 of 23) or faculty member provided (4%, 1 of 23) pharmacogenomic data were used in the case scenarios. All studies used quantitative methods, including student assessments and scaled surveys to assess the impact of the educational intervention on knowledge and/or confidence in pharmacogenomics. On average, the educational interventions improved knowledge acquisition by 21%, confidence in pharmacogenomic data interpretation by 37%, confidence in communication of pharmacogenomic information to patients by 41% and to health care professionals by 44%. Improvement in communication with other health care professionals was greater in students involved in interprofessional learning compared to self-pharmacogenomic testing. SUMMARY: The measures used to determine the effect of educational interventions on student knowledge and confidence varied. Innovative pedagogy, specifically interactive case-based learning and simulation such as interprofessional learning, enhances the knowledge and confidence of students in pharmacogenomics. Course-embedded self-pharmacogenomic testing may offer a supplementary, interactive component to case-based learning by using real-life reports as the foundation of knowledge and confidence acquisition.

Evaluation of the Prescribing Skills Assessment implementation, performance and medical student experience in Australia and New Zealand.

AIMS: The UK Prescribing Safety Assessment was modified for use in Australia and New Zealand (ANZ) as the Prescribing Skills Assessment (PSA). We investigated the implementation, student performance and acceptability of the ANZ PSA for final-year medical students. METHODS: This study used a mixed-method approach involving student data (n = 6440) for 2017-2019 (PSA overall score and 8 domain subscores). Data were also aggregated by medical school and included student evaluation survey results. Quantitative data were analysed using descriptive and multivariate analyses. The pass rate was established by a modified Angoff method. Thematic analyses of open-ended survey comments were conducted. RESULTS: The average pass rate was slightly higher in 2017 (89%) which used a different examination to 2018 (85%) and 2019 (86%). Little difference was identified between schools for the PSA overall performance or domain subscores. There was low intercorrelation between subscores. Most students provided positive feedback about the PSA regarding the interface and clarity of questions, but an average of 35% reported insufficient time for completion. Further, 70% on average felt unprepared by their school curricula for the PSA, which is in part explained by the low prescribing experience; 69% reported completing ≤10 prescriptions during training. CONCLUSION: The ANZ PSA was associated with high pass rates and acceptability, although student preparedness was highlighted as a concern for further investigation. We demonstrate how a collaboration of medical schools can adapt a medical education assessment resource (UK PSA) as a means for fulfilling an unmet need.

Quantification of short-chain fatty acids in human stool samples by LC-MS/MS following derivatization with aniline analogues.

The gut microbiome produces a range of short chain fatty acids (SCFA) crucially linked with diet and nutrition, metabolism, gastrointestinal health and homeostasis. SCFA are primarily measured using gas or liquid chromatography-mass spectrometry (LC/MS) after undergoing chemical derivatization. Here we assess the merits of a derivatization protocol using aniline and two aniline analogues (3-phenoxyaniline and 4-(benzyloxy)aniline) for the targeted LC-MS/MS quantification of nine SCFA (acetic, propionic, butyric, valeric, caproic acid, isobutyric, isovaleric, 2-methylbutyric, and 2-ethylbutyric acid). Evaluation of product ion spectra and optimization of MS detection conditions, provided superior detection sensitivity for 3-phenoxyaniline and 4-(benzyloxy)aniline compared to aniline. We developed a facile SCFA derivatization method using 3-phenoxyaniline under mild reaction conditions which allows for the simultaneous quantification of these SCFA in human stool samples in under eleven minutes using multiple reaction monitoring LC-MS/MS. The method was successfully validated and demonstrates intra- and inter-day accuracy (88.5-103% and 86.0-109%) and precision (CV of 0.55-7.00% and 0.33-9.55%) with recoveries (80.1-87.2% for LLOQ, 88.5-93.0% for ULOQ) and carry-over of (2.68-17.9%). Selectivity, stability and matrix effects were also assessed and satisfied validation criteria. Method applicability was demonstrated by analysing SCFA profiles in DNA-stabilized human stool samples from newly diagnosed colorectal cancer patients prior to surgery. The development of this improved method and its compatibility to measure SCFAs from DNA-stabilized stool will facilitate studies investigating the gut microbiome in health and disease.

Student perspectives on programmatic assessment in a large medical programme: A critical realist analysis.

BACKGROUND: Fundamental challenges exist in researching complex changes of assessment practice from traditional objective-focused 'assessments of learning' towards programmatic 'assessment for learning'. The latter emphasise both the subjective and social in collective judgements of student progress. Our context was a purposively designed programmatic assessment system implemented in the first year of a new graduate entry curriculum. We applied critical realist perspectives to unpack the underlying causes (mechanisms) that explained student experiences of programmatic assessment, to optimise assessment practice for future iterations. METHODS: Data came from 14 in-depth focus groups (N = 112/261 students). We applied a critical realist lens drawn from Bhasker's three domains of reality (the actual, empirical and real) and Archer's concept of structure and agency to understand the student experience of programmatic assessment. Analysis involved induction (pattern identification), abduction (theoretical interpretation) and retroduction (causal explanation). RESULTS: As a complex educational and social change, the assessment structures and culture systems within programmatic assessment provided conditions (constraints and enablements) and conditioning (acceptance or rejection of new 'non-traditional' assessment processes) for the actions of agents (students) to exercise their learning choices. The emergent underlying mechanism that most influenced students' experience of programmatic assessment was one of balancing the complex relationships between learner agency, assessment structures and the cultural system. CONCLUSIONS: Our study adds to debates on programmatic assessment by emphasising how the achievement of balance between learner agency, structure and culture suggests strategies to underpin sustained changes (elaboration) in assessment practice. These include; faculty and student learning development to promote collective reflexivity and agency, optimising assessment structures by enhancing integration of theory with practice, and changing learning culture by both enhancing existing and developing new social structures between faculty and the student body to gain acceptance and trust related to the new norms, beliefs and behaviours in assessing for and of learning.

Multiplex detection of ctDNA mutations in plasma of colorectal cancer patients by PCR/SERS assay.

Molecular diagnostic testing of KRAS and BRAF mutations has become critical in the management of colorectal cancer (CRC) patients. Some progress has been made in liquid biopsy detection of mutations in circulating tumor DNA (ctDNA), which is a fraction of circulating cell-free DNA (cfDNA), but slow analysis for DNA sequencing methods has limited rapid diagnostics. Other methods such as quantitative PCR and more recently, droplet digital PCR (ddPCR), have limitations in multiplexed capacity and the need for expensive specialized equipment. Hence, a robust, rapid and facile strategy is needed for detecting multiple ctDNA mutations to improve the management of CRC patients. To address this significant problem, herein, we propose a new application of multiplex PCR/SERS (surface-enhanced Raman scattering) assay for the detection of ctDNA in CRC, in a fast and non-invasive manner to diagnose and stratify patients for effective treatment. Methods: To discriminate ctDNA mutations from wild-type cfDNA, allele-specific primers were designed for the amplification of three clinically important DNA point mutations in CRC including KRAS G12V, KRAS G13D and BRAF V600E. Surface-enhanced Raman scattering (SERS) nanotags were labelled with a short and specific sequence of oligonucleotide, which can hybridize with the corresponding PCR amplicons. The PCR/SERS assay was implemented by firstly amplifying the multiple mutations, followed by binding with multicolor SERS nanotags specific to each mutation, and subsequent enrichment with magnetic beads. The mutation status was evaluated using a portable Raman spectrometer where the fingerprint spectral peaks of the corresponding SERS nanotags indicate the presence of the mutant targets. The method was then applied to detect ctDNA from CRC patients under a blinded test, the results were further validated by ddPCR. Results: The PCR/SERS strategy showed high specificity and sensitivity for genotyping CRC cell lines and plasma ctDNA, where as few as 0.1% mutant alleles could be detected from a background of abundant wild-type cfDNA. The blinded test using 9 samples from advanced CRC patients by PCR/SERS assay was validated with ddPCR and showed good consistency with pathology testing results. Conclusions: With ddPCR-like sensitivity yet at the convenience of standard PCR, the proposed assay shows great potential in sensitive detection of multiple ctDNA mutations for clinical decision-making.

Inability of Current Dosing to Achieve Carboplatin Therapeutic Targets in People with Advanced Non-Small Cell Lung Cancer: Impact of Systemic Inflammation on Carboplatin Exposure and Clinical Outcomes.

BACKGROUND: The presence of elevated systemic inflammation in people with advanced non-small cell lung cancer (NSCLC) is associated with significantly shorter survival following carboplatin-based chemotherapy. OBJECTIVE: This study investigated whether novel factors, such as systemic inflammation [platelet-lymphocyte ratio (PLR) and neutrophil-lymphocyte ratio (NLR)], impact carboplatin pharmacokinetics and drug utilisation. The study also examined the ability of current and alternate dosing regimens to meet therapeutic targets. METHODS: Seventy-two people with advanced NSCLC treated with carboplatin-based (460-1050 mg) doublet chemotherapy were recruited and pharmacokinetic data (n = 61) were analysed using non-linear mixed modelling. Covariate analysis was performed to investigate the impact of standard and novel patient characteristics of carboplatin pharmacokinetics. A Monte Carlo simulation of 100,000 representative NSCLC patients evaluated the ability of the Calvert formula and novel dosing strategies to achieve the targeted therapeutic range. The associations between systemic inflammation and chemotherapy drug utilisation (cycles received, relative dose intensity (RDI) and second-line uptake) and clinical endpoints were also investigated in the pharmacokinetic cohort, and two independent cohorts of people with advanced NSCLC from the Chemotherapy Dosing in Cancer-Related Inflammation (CDCRI) database that were administered carboplatin-paclitaxel (n = 37) or carboplatin-gemcitabine (n = 358). RESULTS: In all cohorts, 25-53% of people had elevated systemic inflammation (NLR > 5 or PLR > 300). In the pharmacokinetic cohort, no patients achieved the desired therapeutic target of carboplatin. Carboplatin exposure was related to renal function, as estimated using the Cockcroft-Gault formula, albumin and inflammation (NLR). In the pharmacokinetic cohort, increasing carboplatin area under the curve (AUC) correlated with greater reductions in red blood cells and haemoglobin. In this cohort, the average measured AUC of partial responders was 2.4 mg·min/mL. Also in the pharmacokinetic cohort, only 12% of people with an NLR > 5 received four or more cycles of chemotherapy, compared with 62% of patients with an NLR ≤ 5 (p < 0.001). For people in the CDCRI cohort receiving carboplatin-gemcitabine, those with an NLR > 5 also received less cycles (four or more cycles, 41% vs. 60%; p < 0.01) as well as less second-line chemotherapy (46% vs. 60%; p = 0.02) compared with patients without inflammation. People in the pharmacokinetic cohort with an NLR > 5 had 12 months less median survival compared with people with an NLR ≤ 5 (6.5 vs. 18 months; p = 0.08). Similarly, overall survival was significantly shortened in people in the CDCRI cohort receiving carboplatin-gemcitabine with an NLR > 5 compared with those with an NLR ≤ 5 (7 vs. 12 months; p < 0.001), and Cox regression analysis showed a 1.5-fold (1.3-2.1; p < 0.001) increased hazard of death associated with the increased systemic inflammation. Simulations of the newly developed model-based and Calvert dosing assessed the ability to reach this study's proposed actual target AUC of 2.2-2.6 mg·min/mL. These showed current Calvert dosing was predicted to result in substantial overexposure in patients with high systemic inflammation. The newly developed model showed equivalent levels of carboplatin therapeutic target achievement across the spectrum of inflammation observed in the lung cancer population. CONCLUSION: An alternate model-based dosing strategy for carboplatin was developed and is predicted to result in consistent drug exposure across the population and improve attainment of therapeutic targets. Further studies of this new model are warranted in people with advanced NSCLC.

Mass Cytometry Reveals a Sustained Reduction in CD16+ Natural Killer Cells Following Chemotherapy in Colorectal Cancer Patients.

The immune system and inflammation plays a significant role in tumour immune evasion enhancing disease progression and reducing survival in colorectal cancer (CRC). Patients with advanced stages of colorectal cancer will all undergo treatment with cytotoxic chemotherapy which may alter the complexity of immune cell populations. This study used mass cytometry to investigate the circulating immune cell profile of advanced CRC patients following acute and chronic doses of standard cytotoxic chemotherapy and analysed seven major immune cell populations and over 20 subpopulations. Unsupervised clustering analysis of the mass cytometry data revealed a decrease in NK cells following one cycle of cytotoxic chemotherapy. Investigation into the NK sub-population revealed a decline in the CD56dim CD16+ NK cell population following acute and chronic chemotherapy treatment. Further analysis into the frequency of the NK cell sub-populations during the long-term chemotherapy treatment revealed a shift in the sub-populations, with a decrease in the mature, cytotoxic CD56dim CD16+ accompanied by a significant increase in the less mature CD56dim CD16- and CD56bright NK cell populations. Furthermore, analysis of the phosphorylation status of signalling responses in the NK cells found significant differences in pERK, pP38, pSTAT3, and pSTAT5 between the patients and healthy volunteers and remained unchanged throughout the chemotherapy. Results from this study reveals that there is a sustained decrease in the mature CD16+ NK cell sub-population frequency following long-term chemotherapy which may have clinical implications in therapeutic decision making.

Staining of Phosphorylated Signalling Markers Protocol for Mass Cytometry.

Mass cytometry is a multi-parametric technique that offers insight into functional and biological systems at a single cell level (Tanner et al., Cancer Immunol Immunother 62:955-965, 2013). One of the major advantages of mass cytometry is the ability to measure multiple intracellular markers, including phosphorylated proteins that are part of major signaling pathways, such as NF-κB, JAK/STAT, and ERK/MAPK. Here we describe an optimized mass cytometry protocol for staining human clinical blood samples with panels that include phosphorylated antibodies.

Cancer-Related Systemic Inflammation: The Challenges and Therapeutic Opportunities for Personalized Medicine.

Over the last decade there has been significant progress towards the development of personalized or "precision" medicine for many patients with cancer. However, there still remain subpopulations of cancer patients that do not possess a tumor mutation profile that is successfully targeted by the newer molecular anticancer drugs and further personalized approaches are needed. The presence of cancer-related systemic inflammation represents an underappreciated subpopulation of cancer patients needing personalized therapy. For ∼25% of all advanced cancer patients, regardless of histological subtype, the patients with systemic inflammation have significantly poorer response to chemotherapy and also shorter overall survival compared to those cancer patients without inflammation. The development of cancer-related systemic inflammation involves interactions between host and tumor cells that are potential new drug targets in cancer chemotherapy. In this review we discuss the challenges and clinical opportunities to develop new therapeutic strategies for this underappreciated drug target.

Systemic inflammation is an independent predictive marker of clinical outcomes in mucosal squamous cell carcinoma of the head and neck in oropharyngeal and non-oropharyngeal patients.

BACKGROUND: Currently there are very few biomarkers to identify head and neck squamous cell carcinoma (HNSCC) cancer patients at a greater risk of recurrence and shortened survival. This study aimed to investigate whether a marker of systemic inflammation, the neutrophil-to-lymphocyte ratio (NLR), was predictive of clinical outcomes in a heterogeneous cohort of HNSCC cancer patients. METHODS: We performed a retrospective analysis to identify associations between NLR and clinicopathological features to recurrence free survival (RFS) and overall survival (OS). Univariate analysis was used to identify associations and selected variables were included in multivariable Cox regression analysis to determine predictive value. RESULTS: A total of 145 patients with stage I-IV HNSCC that had undergone radiotherapy were analysed. Seventy-six of these patients had oropharyngeal cancer and 69 had non-oropharyngeal HNSCC and these populations were analysed separately. NLR was not associated to any clinicopathological variable. On univariate analysis, NLR showed associations with RFS and OS in both sub-populations. Multivariable analysis showed patients with NLR > 5 had shortened OS in both sub-populations but NLR > 5 only predicted RFS in oropharyngeal patients. Poor performance status predicted OS in both sub-populations and current smokers had shortened OS and RFS in non-oropharyngeal patients. CONCLUSIONS: The results show patients with NLR > 5 predict for shorter overall survival. Further prospective validation studies in larger cohorts are required to determine the clinical applicability of NLR for prognostication in HNSCC patients.

Fluorescent sensing of monofunctional platinum species.

We report here FDCPt1, a novel selective fluorescent sensor for monofunctional platinum species. In the presence of such species, FDCPt1 exhibits a 70-fold increase in fluorescence emission, and can be used to monitor the metabolism of Pt(II)-based complexes in colorectal cancer cells. This probe is therefore expected to be valuable in studying changes in Pt coordination and distribution during chemotherapy.

Cancer-related inflammation and treatment effectiveness.

Inflammation is a recognised hallmark of cancer that substantially contributes to the development and progression of malignancies. In established cancers, there is increasing evidence for the roles that local immune response and systemic inflammation have in progression of tumours and survival of patients with cancer. This knowledge provides an opportunity to target these inflammatory responses to improve patient outcomes. In this Review, we examine the complex interplay between local immune responses and systemic inflammation, and their influence on clinical outcomes, and propose potential anti-inflammatory interventions for patients with cancer.

The systemic inflammation-based neutrophil-lymphocyte ratio: experience in patients with cancer.

There is increasing and consistent evidence that cancer-associated inflammation is a key determinant of outcome in patients with cancer. Various markers of inflammation have been examined over the past decade in an attempt to refine stratification of patients to treatment and predict survival. One routinely available marker of the systemic inflammatory response is the neutrophil-lymphocyte ratio (NLR), which is derived from the absolute neutrophil and absolute lymphocyte counts of a full blood count. To date, over 60 studies (>37,000 patients) have examined the clinical utility of the NLR to predict patient outcomes in a variety of cancers. The present systematic review examines and comments on the clinical utility of the NLR. The NLR had independent prognostic value in (a) unselected cohorts (1 study of >12,000 patients), (b) operable disease (20 studies, >4000 patients), (c) patients receiving neoadjuvant treatment and resection (5 studies, >1000 patients), (d) patients receiving chemo/radiotherapy (12 studies, >2000 patients) and (e) patients with inoperable disease (6 studies, >1200 patients). These studies originated from ten different countries, in particular UK, Japan, and China. Further, correlative studies (15 studies, >8500 patients) have shown that NLR is elevated in patients with more advanced or aggressive disease evidenced by increased tumour stage, nodal stage, number of metastatic lesions and as such these patients may represent a particularly high-risk patient population. Further studies investigating the tumour and host-derived factors regulating the systemic inflammatory response, in particular the NLR, may identify novel treatment strategies for patients with cancer.

CYP3A4 intron 6 C>T SNP (CYP3A4*22) encodes lower CYP3A4 activity in cancer patients, as measured with probes midazolam and erythromycin.

AIM: The CYP3A4*22 allele was recently reported to be associated with reduced CYP3A4 activity. We investigated the impact of this allele on the metabolism of the CYP3A-phenotyping probes, midazolam (MDZ) and erythromycin. PATIENTS & METHODS: Genomic DNA from 108 cancer patients receiving intravenous MDZ and 45 undergoing the erythromycin breath test was analyzed for CYP3A4*22 (rs35599367 C>T) and CYP3A5*3. RESULTS: The MDZ metabolic ratio (1´-OH-MDZ:MDZ) was 20.7% (95% CI: -36.2 to -6.2) lower for CYP3A4*22 carriers compared with CYP3A4*1/*1 patients (p = 0.01). Combining CYP3A4*22 and CYP3A5*3 genotypes showed a 38.7% decrease (95% CI: -50.0 to -27.4; p < 0.001) in 1´-OH-MDZ:MDZ for poor (CYP3A4*22-CYP3A5*3/*3) and 28.0% (95% CI: -33.3 to -22.6; p < 0.001) for intermediate (CYP3A4*1/*1-CYP3A5*3/*3) metabolizers, compared with extensive (CYP3A4*1/*1-CYP3A5*1) CYP3A metabolizers. CYP3A4 erythromycin N-demethylation activity was 40% lower in CYP3A4*22 carriers compared with CYP3A4*1/*1 patients (p = 0.032). CONCLUSION: The CYP3A4*22 allele is associated with decreased CYP3A4-mediated metabolism, as verified by CYP3A-phenotyping probes.

Impact of POR*28 on the clinical pharmacokinetics of CYP3A phenotyping probes midazolam and erythromycin.

OBJECTIVE: P450 oxidoreductase (POR) is essential for cytochrome P450 (CYP) activity in humans. The POR*28 allele (A503V) has been shown to impact on in-vitro CYP-mediated metabolism, including CYP3A isoenzymes. The aim of the present study was to determine the in vivo impact of the POR*28 allele on the pharmacokinetics of the classic CYP3A phenotyping probes midazolam and erythromycin. Whereas midazolam is metabolized by both CYP3A4 and CYP3A5, erythromycin is exclusively oxidized by CYP3A4. MATERIALS AND METHODS: To assess CYP3A activity, 108 cancer patients received midazolam and 45 others underwent the erythromycin breath test. Patients were genotyped for POR*28, CYP3A4*22 and CYP3A5*3. RESULTS: In patients expressing CYP3A5, POR*28 carriers showed 45% lower midazolam metabolic ratios compared with POR*1/*1 patients (P<0.001). This is in line with a lower CYP3A5 activity toward midazolam for POR*28 carriers. In CYP3A5 nonexpressers, POR*28 had no influence on midazolam pharmacokinetics. For erythromycin, POR*28 carriership did not influence its metabolism. CONCLUSION: Our data show that the POR*28 allele is associated with a lower in vivo CYP3A5 activity, but has no effects on CYP3A4-mediated erythromycin and midazolam metabolism.

Systemic inflammation and prediction of chemotherapy outcomes in patients receiving docetaxel for advanced cancer.

BACKGROUND: Inflammatory markers are strong prognostic factors for survival in a variety of cancers. This study aimed to investigate the relationships between known inflammatory markers and their ability to predict overall survival (OS) in patients receiving docetaxel therapy. METHODS: Sixty-eight patients with advanced cancer were enrolled in a clinical trial of single agent docetaxel from 2000 to 2002. Inflammation was measured using baseline cytokine concentrations, acute phase reactant proteins and white blood cell counts. The neutrophil/lymphocyte ratio (NLR) and Glasgow Prognostic Score (GPS) were calculated. Associations between inflammatory markers and their predictive value for OS were tested. RESULTS: The majority of patients had elevated inflammatory markers (50-70%). Strong inter-relationships were observed between the different inflammatory indices. Only NLR and GPS were independently predictive of OS. A combined NLR and GPS score demonstrated 11 month differences in overall OS between patients with normal and elevated inflammatory status. Normalisation of NLR after three doses of chemotherapy was associated with significant improvement in survival. CONCLUSION: This study found that NLR predicts the clinical outcomes for patients with advanced cancer treated with docetaxel. The clinical utilisation of NLR should be validated in a larger patient population to confirm its utility.

A dynamic inflammatory cytokine network in the human ovarian cancer microenvironment.

Constitutive production of inflammatory cytokines is a characteristic of many human malignant cell lines; however, the in vitro and in vivo interdependence of these cytokines, and their significance to the human cancer microenvironment, are both poorly understood. Here, we describe for the first time how three key cytokine/chemokine mediators of cancer-related inflammation, TNF, CXCL12, and interleukin 6, are involved in an autocrine cytokine network, the "TNF network," in human ovarian cancer. We show that this network has paracrine actions on angiogenesis, infiltration of myeloid cells, and NOTCH signaling in both murine xenografts and human ovarian tumor biopsies. Neutralizing antibodies or siRNA to individual members of this TNF network reduced angiogenesis, myeloid cell infiltration, and experimental peritoneal ovarian tumor growth. The dependency of network genes on TNF was shown by their downregulation in tumor cells from patients with advanced ovarian cancer following the infusion of anti-TNF antibodies. Together, the findings define a network of inflammatory cytokine interactions that are crucial to tumor growth and validate this network as a key therapeutic target in ovarian cancer.

Clinical, laboratory and molecular factors predicting chemotherapy efficacy and toxicity in colorectal cancer.

Colorectal cancer (CRC) treatment has evolved significantly over the last ten years with the use of active chemotherapeutic agents including fluoropyrimidines, oxaliplatin and irinotecan plus targeted monoclonal antibodies bevacizumab, cetuximab and panitumumab. The addition of newer chemotherapeutic agents and targeted therapies has improved patient outcomes at the cost of increased toxicity with not all patients benefiting from these treatments. It is necessary for clinicians to more accurately predict clinical outcomes particularly in the predominantly elderly CRC patient population. This review aims to summarise existing data regarding the use of clinical and laboratory variables plus molecular markers in predicting response, survival and toxicity to chemotherapy agents and targeted monoclonal antibodies currently used in the treatment of CRC.

The tumor-promoting actions of TNF-alpha involve TNFR1 and IL-17 in ovarian cancer in mice and humans.

Cytokines orchestrate the tumor-promoting interplay between malignant cells and the immune system. In many experimental and human cancers, the cytokine TNF-alpha is an important component of this interplay, but its effects are pleiotropic and therefore remain to be completely defined. Using a mouse model of ovarian cancer in which either TNF receptor 1 (TNFR1) signaling was manipulated in different leukocyte populations or TNF-alpha was neutralized by antibody treatment, we found that this inflammatory cytokine maintained TNFR1-dependent IL-17 production by CD4+ cells and that this led to myeloid cell recruitment into the tumor microenvironment and enhanced tumor growth. Consistent with this, in patients with advanced cancer, treatment with the TNF-alpha-specific antibody infliximab substantially reduced plasma IL-17 levels. Furthermore, expression of IL-1R and IL-23R was downregulated in CD4+CD25- cells isolated from ascites of ovarian cancer patients treated with infliximab. We have also shown that genes ascribed to the Th17 pathway map closely with the TNF-alpha signaling pathway in ovarian cancer biopsy samples, showing particularly high levels of expression of genes encoding IL-23, components of the NF-kappaB system, TGF-beta1, and proteins involved in neutrophil activation. We conclude that chronic production of TNF-alpha in the tumor microenvironment increases myeloid cell recruitment in an IL-17-dependent manner that contributes to the tumor-promoting action of this proinflammatory cytokine.

Predictive biomarkers of clinical response to targeted antibodies in colorectal cancer.

Targeted mAbs to VEGFR and EGFR are well-established therapies for the treatment of colorectal cancer. The costs and toxicities associated with these novel treatments are not insignificant, and therefore molecular markers that predict treatment efficacy are needed to individualize the therapy administered to each patient. Recent data in this research field support KRAS mutation testing to guide the selection of EGFR inhibitors for the treatment of colorectal cancer. This review discusses the evidence that KRAS mutation analysis can indicate a beneficial response to EGFR inhibitors, and the potential and limitations of other mutations in the VEGF and EGF signaling pathways as predictive molecular markers in this setting.