Marker counter-selection via CRISPR/Cas9 co-targeting for efficient generation of genome edited avian cell lines and germ cells

Efficient isolation of genetically modified cells that are phenotypically indistinguishable from the unmodified cells remains a major technical barrier for the broader utilization of CRISPR/Cas9. Here, we report a novel enrichment approach to select the genome engineered cells by co-targeting a genomically integrated GFP gene along with the endogenous gene of interest (GOI). Using this co-targeting approach, multiple genomic loci were successfully targeted in chicken (DF1) and quail (CEC-32) fibroblast cell lines by transient transfection of Cas9 and guide RNAs (gRNAs). Clonal isolation of co-targeted DF1 cells showed 75% of cell clones had deletion of GFP and biallelic deletion of the GOI. To assess the utility of this approach to generate genome modified animals, we tested it on chicken primordial germ cells (PGCs) expressing GFP by co-targeting with gRNAs against GFP and endogenous ovomucoid (OVM) gene. PGCs enriched for loss of GFP and confirmed for OVM deletion, derived by co-targeting, were injected into Hamburger and Hamilton stage 14-15 chicken embryos, and their ability to migrate to the genital ridge was confirmed. This simple, efficient enrichment approach could easily be applied to the creation of knock-out or edited cell lines or animals.

Evaluation of prognostic risk models for postoperative pulmonary complications in adult patients undergoing major abdominal surgery: a systematic review and international external validation cohort study

BACKGROUND

Stratifying risk of postoperative pulmonary complications after major abdominal surgery allows clinicians to modify risk through targeted interventions and enhanced monitoring. In this study, we aimed to identify and validate prognostic models against a new consensus definition of postoperative pulmonary complications.

METHODS

We did a systematic review and international external validation cohort study. The systematic review was done in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We searched MEDLINE and Embase on March 1, 2020, for articles published in English that reported on risk prediction models for postoperative pulmonary complications following abdominal surgery. External validation of existing models was done within a prospective international cohort study of adult patients (≥18 years) undergoing major abdominal surgery. Data were collected between Jan 1, 2019, and April 30, 2019, in the UK, Ireland, and Australia. Discriminative ability and prognostic accuracy summary statistics were compared between models for the 30-day postoperative pulmonary complication rate as defined by the Standardised Endpoints in Perioperative Medicine Core Outcome Measures in Perioperative and Anaesthetic Care (StEP-COMPAC). Model performance was compared using the area under the receiver operating characteristic curve (AUROCC).

FINDINGS

In total, we identified 2903 records from our literature search; of which, 2514 (86·6%) unique records were screened, 121 (4·8%) of 2514 full texts were assessed for eligibility, and 29 unique prognostic models were identified. Nine (31·0%) of 29 models had score development reported only, 19 (65·5%) had undergone internal validation, and only four (13·8%) had been externally validated. Data to validate six eligible models were collected in the international external validation cohort study. Data from 11 591 patients were available, with an overall postoperative pulmonary complication rate of 7·8% (n=903). None of the six models showed good discrimination (defined as AUROCC ≥0·70) for identifying postoperative pulmonary complications, with the Assess Respiratory Risk in Surgical Patients in Catalonia score showing the best discrimination (AUROCC 0·700 [95% CI 0·683-0·717]).

INTERPRETATION

In the pre-COVID-19 pandemic data, variability in the risk of pulmonary complications (StEP-COMPAC definition) following major abdominal surgery was poorly described by existing prognostication tools. To improve surgical safety during the COVID-19 pandemic recovery and beyond, novel risk stratification tools are required.

FUNDING

British Journal of Surgery Society.

Outcome of catheter ablation of arrhythmias in adult congenital heart disease with high density multi-electrode mapping with automatic annotation algorithm

Funding Acknowledgements

Type of funding sources: None.

Introduction

Arrhythmias are frequently encountered in adult congenital heart disease (ACHD) and respond poorly to pharmacological therapies. Catheter ablation is challenging due to anatomical variation and complexity of the arrhythmia substrate. High density multi electrode mapping (MEM) with automatic annotation of activation time may aid mapping of arrhythmia, decrease procedure time and improve the accuracy of targeting of ablation therapy.

Purpose

To compare the acute and long term outcomes and procedural characteristics of catheter ablation in ACHD patients with and without automatic annotation of activation with MEM.

Methods

Retrospective analysis of the acute and long term outcomes of ACHD patients in a single centre undergoing ablation procedures from 1 Jan 2014 to 18 August 2017 was undertaken. 2 groups were identified.

Group 1 included patients who had arrhythmia mapping performed with the CARTO 3D electroanatomic mapping system without the use of automatic signal annotation. Most patients in this group had sequential mapping performed with the ablation catheter (78%), the rest had multi-electrode mapping with the PentaRay 20 pole catheter.

Group 2 included patients who had arrhythmia mapping performed with the CARTO 3D electroanatomic mapping system using the automated CONFIDENSE mapping algorithm.

Results

Group 1: n = 27, mean age 44.6 +/-3 years. Male 46.6%. Group 2: n = 38, mean age 44.0 +/- 1.9 years. Male 56.7%. All patients had CHD of at least moderate complexity. 25% of patients in group 1 and 45% in group 2 were repeat ablations. 45 arrhythmias were induced in group 1 of which 29 were targeted and 74 arrhythmias were induced in group 2 of which 46 were targeted. Acute success rates (after attempts at reinduction) were 96.3% in group 1 and 94.7% in group 2. Recurrences of arrhythmia occurred significantly less in patients in group 2 compared to group 1  (44.7% and 70.4% respectively,  p < 0.05) after a follow up duration of 17.3+/-0.43 months in group 2 and 45.3 +/-1.19 months in group 1. Fluoroscopy time, procedure time and ablation time were not significantly different between groups.

Conclusions

The use of multi-electrode mapping with an automatic annotation algorithm was associated with a significantly lower risk of recurrence during the follow up period of this study.

Application of AI technology in modern digital marketing environment

Purpose

The purpose of this paper is to explore the various application of artificial intelligence (AI) to social media and digital advertising professionals and agencies to specialize to an advanced degree and maintain collaboration and creativity to bring a better return on investment.

Design/methodology/approach

Digital marketers are still oblivious to the importance of AI application, while some others simply do not know how to implement it. AI is currently acting as a significant disruption in digital and social media marketing worldwide.

Findings

Based on the literature review, the paper identifies the various AI applications in the field of digital media marketing.

Originality/value

This paper can serve as a useful guide for social media marketers to implement AI applications to impact digital marketing strategies better.

Empirical mode decomposition based ECG features in classifying and tracking ventricular arrhythmias

Ventricular arrhythmias (VA) are life-threatening pathophysiological conditions that seriously impact the normal functioning of the heart. Ventricular tachycardia (VT) and ventricular fibrillation (VF) are the two well known types of VA. VF is the lethal of the VAs and could be characterized by its organizational progression over time. The success of cardiac resuscitation strongly depends on the type of VA, its evolution over time and response to therapy. Due to the time critical nature of VF, computationally efficient quantification of VAs and swift feedback are essential. This work attempted to arrive at computationally efficient and data-driven techniques based on Empirical Mode Decomposition for classifying and tracking VAs over time. The approaches are divided into two aims: (1) 'in-hospital' scenarios for characterizing the dynamics of VA episodes to assist clinicians in planning long-term therapy options, and (2) 'out-of-hospital' scenarios for providing near real-time feedback to detect/track the progression of VAs over time to assist medical personnel select/modify therapy options. Using an ECG database of 61 60-s VA segments obtained for classifying VT vs. VF and sub-classifying VF into organized VF (OVF) and disorganized VF (DVF), maximum classification accuracies of 96.7% (AUC = 0.993) and 87.2% (AUC = 0.968) were obtained for classifying VT vs. VF and OVF vs. DVF during 'in-hospital' analysis. Additionally, two near real-time approaches were presented for 'out-of-hospital' analysis where average accuracies of 71% and 73% were achieved for VT/VF and OVF/DVF classification, as well as demonstrating strong potential for monitoring VA progressions over time.

Arts for the Blues - a new creative psychological therapy for depression: a pilot workshop report

INTRODUCTION

Research over the last decade has identified both strengths and limitations in the use of routinely prescribed psychological therapies for depression. More recently, a focus on how creative art therapies and 'arts on prescription' are developing a growing recognition of their potential additional therapeutic mechanisms for depression.

AIM

In an attempt to develop a new therapeutic intervention for depression, this research aligned both the evidence base surrounding the arts on prescription movement, collating these with client-reported helpful factors and preferences for therapeutic interventions.

METHODS

We developed a framework for a new pluralistic 'meta-approach' of therapy for depression, based on; an interdisciplinary thematic synthesis of active ingredients, considered specific features implemented in therapy, and client-reported helpful factors considered to be the broad features or experiences in therapy from both talking therapies and creative approaches. This framework contributed to the development of a pilot workshop entitled Arts for the Blues - A New Creative Psychological Therapy for Depression. An outline of, and evaluation from this workshop is presented in this article. Workshop participants were recruited via a voluntary workshop taking place at a North West Higher Education Institution Arts and Health conference ( N = 15).

RESULTS

The workshop was evaluated using quantitative measures, with results indicating around a 70% overall satisfaction, followed up with qualitative commentary around areas of good practice and areas for development. These included the positive reflection on the application of creative arts and the multimodal nature of the approach, while others reflected on the potential overwhelming nature of utilising multimodal methods for individuals with depression.

CONCLUSION

Overall feedback from the pilot workshop is discussed in relation to prior research, giving credence to the potential for incorporating arts into therapy.

Automated signal pattern detection in ECG during human ventricular arrhythmias

Ventricular arrhythmias seriously affects cardiac function. Of these arrhythmias, Ventricular fibrillation is considered as a lethal cardiac condition. Recent studies have reported that ventricular arrhythmias are not completely random and may exhibit regional spatio-temporal organizations. These organizations could be indicative of reoccurring signal patterns and might be embedded within the surface electrocardiograms (ECGs) during ventricular arrhythmias. In this work, we aim to identify such reoccurring ECG signal patterns during ventricular arrhythmias. The detection of such signal patterns and their distribution could be of help in sub-classifying the affected population for better targeted diagnosis and treatment. Our analysis on 14 ECG segments (on average 3.24 minutes per segment) obtained from the MIT-BIH ventricular arrhythmia database identified three reoccurring signal patterns. A wavelet based technique was developed for automating the pattern identification process using ECGs. The proposed method achieved automated detection accuracies of 73.3%, 75.0% and 86.6% for the proposed signal patterns.

Studying semblances of a true killer: experimental model of human ventricular fibrillation

It is unknown whether ventricular fibrillation (VF) studied in experimental models represents in vivo human VF. First, we examined closed chest in vivo VF induced at defibrillation threshold testing (DFT) in four patients with ischemic cardiomyopathy pretransplantation. We examined VF in these same four hearts in an ex vivo human Langendorff posttransplantation. VF from DFT was compared with VF from the electrodes from a similar region in the right ventricular endocardium in the Langendorff using two parameters: the scale distribution width (extracted from continuous wavelet transform) and VF mean cycle length (CL). In a second substudy group where multielectrode phase mapping could be performed, we examined early VF intraoperatively (in vivo open chest condition) in three patients with left ventricular cardiomyopathy. We investigated early VF in the hearts of three patients in an ex vivo Langendorff and compared findings with intraoperative VF using two metrics: dominant frequency (DF) assessed by the Welch periodogram and the number of phase singularities (lasting >480 ms). Wavelet analysis (P = 0.9) and VF CL were similar between the Langendorff and the DFT groups (225 ± 13, 218 ± 24 ms; P = 0.9), indicating that wave characteristics and activation rate of VF was comparable between the two models. Intraoperative DF was slower but comparable with the Langendorff DF over the endocardium (4.6 ± 0.1, 5.0 ± 0.4 Hz; P = 0.9) and the epicardium (4.5 ± 0.2, 5.2 ± 0.4 Hz; P = 0.9). Endocardial phase singularity number (9.6 ± 5, 12.1 ± 1; P = 0.6) was lesser in number but comparable between in vivo and ex vivo VF. VF dynamics in the limited experimental human studies approximates human in vivo VF.

Predicting refibrillation from pre-shock waveforms in optimizing cardiac resuscitation

Ventricular fibrillation (VF) is a lethal cardiac arrhythmia that if untreated within minutes of its occurrence will lead to sudden cardiac death. Defibrillation using electric shocks is the only choice of treatment to restore the heart to normal rhythm especially in out-of-the-hospital VF incidents. Refibrillation (i.e., recurrence of VF) is a common and significant problem in cardiac resuscitation as it negatively impacts the survival rates. In such refibrillation cases administration of anti-arrhythmic drugs could improve the shock outcomes or prevent refibrillation. In cases of prolonged VF, cardio pulmonary resuscitation (CPR) prior to the shocks have been shown to improve the survival rates. The proposed work using wavelet analysis of the pre-shock VF electrograms attempts to predict the shock outcomes as successful, refibrillation, and unsuccessful categories. This feedback in real-time would be of immense assistance to the Emergency Medical Services (EMS) personnel in choosing the right combination of therapies (i.e., shock, CPR, pharmacology interventions) in improving the shock outcomes. Using a real-word database of 34 pre-shock VF electrograms obtained from Toronto area EMS personnel, the proposed method achieved classification accuracies of 76.5% and 75% for a two level binary classification of the three groups.

Relating spatial heterogeneities to rotor formation in studying human ventricular fibrillation

Ventricular fibrillation (VF) occurs due to disorganized electrical activity in the ventricles. This leads to rapid uncoordinated contractions of the ventricles and sudden cardiac death if not treated within minutes of its occurrence. The mechanism of VF initiation and maintenance is still elusive, however the mother rotor and multiple wavelet theories attempt to explain the mechanism behind this lethal arrhythmia. In mother rotor theory, VF is believed to be maintained by high frequency periodic sources called rotors that could be tracked using the phase progression along and through the myocardium using spatio-temporal electrical mapping of the heart. There are exiting works including our previous works that have related the formation of these rotors to anatomical and physiological heterogeneities observed in the myocardium. In this study we performed an correlation exercise of the locations of rotors with scar boundary maps and dominant frequency maps and elucidated this relation using human VF data acquired from isolated human hearts. The results suggest that in 14 rotors over 6 human hearts that we studied, all rotors co-localized to boundary zones of scar and low-high dominant frequency locations. The mean variance of the dominant frequency over the spatial location of the rotor was found to be 0.55 with average minimum of 4.15 Hz to a maximum of 5.71 Hz. This results in human VF data strongly suggest that boundary zones of healthy-non-healthy tissues and low-high frequency boundaries form a favorite substrate for rotor formation.

Wavelet-based markers of ventricular fibrillation in optimizing human cardiac resuscitation

During cardiac resuscitation from ventricular fibrillation (VF) it would be helpful if we could monitor and predict the optimal state of the heart to be shocked into a perfusing rhythm. Real-time feedback of this state to the emergency medical staff (EMS) could improve the survival rate after resuscitation. In this paper, using real world out-of-the-hospital human VF data obtained during resuscitation by EMS personnel, we present the results of applying wavelet markers in predicting the shock outcomes. We also performed comparative analysis of 5 existing techniques (spectral and correlation based approaches) against the proposed wavelet markers. A database of 29 human VF tracings was extracted from the defibrillator recordings collected by the EMS personnel and was used to validate the waveform markers. The results obtained by the comparison of the wavelet based features with other spectral, and correlation-based features indicates that the proposed wavelet features perform well with an overall accuracy of 79.3% in predicting the shock outcomes and hence demonstrate potential to provide near real-time feedback to EMS personnel in optimizing resuscitation outcomes.

Wavelet-based features for characterizing ventricular arrhythmias in optimizing treatment options

Ventricular arrhythmias arise from abnormal electrical activity of the lower chambers (ventricles) of the heart. Ventricular tachycardia (VT) and ventricular fibrillation (VF) are the two major subclasses of ventricular arrhythmias. While VT has treatment options that can be performed in catheterization labs, VF is a lethal cardiac arrhythmia, often when detected the patient receives an implantable defibrillator which restores the normal heart rhythm by the application of electric shocks whenever VF is detected. The classification of these two subclasses are important in making a decision on the therapy performed. As in the case of all real world process the boundary between VT and VF is ill defined which might lead to many of the patients experiencing arrhythmias in the overlap zone (that might be predominately VT) to receive shocks by the an implantable defibrillator. There may also be a small population of patients who could be treated with anti-arrhythmic drugs or catheterization procedure if they can be diagnosed to suffer from predominately VT after objectively analyzing their intracardiac electrogram data obtained from implantable defibrillator. The proposed work attempts to arrive at a quantifiable way to scale the ventricular arrhythmias into VT, VF, and the overlap zone arrhythmias as VT-VF candidates using features extracted from the wavelet analysis of surface electrograms. This might eventually lead to an objective way of analyzing arrhythmias in the overlap zone and computing their degree of affinity towards VT or VF. A database of 24 human ventricular arrhythmia tracings obtained from the MIT-BIH arrhythmia database was analyzed and wavelet-based features that demonstrated discrimination between the VT, VF, and VT-VF groups were extracted. An overall accuracy of 75% in classifying the ventricular arrhythmias into 3 groups was achieved.

Targeting of a CD8 T cell env epitope presented by HLA-B*5802 is associated with markers of HIV disease progression and lack of selection pressure

In HIV-infected persons, certain HLA class I alleles are associated with effective control of viremia, while others are associated with rapid disease progression. Among the most divergent clinical outcomes are the relatively good prognosis in HLA-B*5801 expressing persons and poor prognosis with HLA-B*5802. These two alleles differ by only three amino acids in regions involved in HLA-peptide recognition. This study evaluated a cohort of over 1000 persons with chronic HIV clade C virus infection to determine whether clinical outcome differences associated with B*5801 (n = 93) and B*5802 ( n = 259) expression are associated with differences in HIV-1-specific CD8 (+) T cell responses. The overall breadth and magnitude of HIV-1-specific CD8(+) T cell responses were lower in persons expressing B*5802, and epitope presentation by B*5802 contributed significantly less to the overall response as compared to B*5801-restricted CD8 (+) T cells. Moreover, viral load in B*5802-positive persons was higher and CD4 cell counts lower when this allele contributed to the overall CD8 (+) T cell response, which was detected exclusively through a single epitope in Env. In addition, persons heterozygous for B*5802 compared to persons homozygous for other HLA-B alleles had significantly higher viral loads. Viral sequencing revealed strong selection pressure mediated through B*5801-restricted responses but not through B*5802. These data indicate that minor differences in HLA sequence can have a major impact on epitope recognition, and that selective targeting of Env through HLA-B*5802 is at least ineffectual if not actively adverse in the containment of viremia. These results provide experimental evidence that not all epitope-specific responses contribute to immune containment, a better understanding of which is essential to shed light on mechanisms involved in HIV disease progression.

A computational modeling approach for the characterization of mechanical properties of 3D alginate tissue scaffolds

Scaffold guided tissue engineering is an innovative approach wherein cells are seeded onto biocompatible and biodegradable materials to form 3-dimensional (3D) constructs that, when implanted in the body facilitate the regeneration of tissue. Tissue scaffolds act as artificial extracellular matrix providing the environment conducive for tissue growth. Characterization of scaffold properties is necessary to understand better the underlying processes involved in controlling cell behavior and formation of functional tissue. We report a computational modeling approach to characterize mechanical properties of 3D gellike biomaterial, specifically, 3D alginate scaffold encapsulated with cells. Alginate inherent nonlinearity and variations arising from minute changes in its concentration and viscosity make experimental evaluation of its mechanical properties a challenging and time consuming task. We developed an in silico model to determine the stress-strain relationship of alginate based scaffolds from experimental data. In particular, we compared the Ogden hyperelastic model to other hyperelastic material models and determined that this model was the most suitable to characterize the nonlinear behavior of alginate. We further propose a mathematical model that represents the alginate material constants in Ogden model as a function of concentrations and viscosity. This study demonstrates the model capability to predict mechanical properties of 3D alginate scaffolds.

Low-dose docetaxel, estramustine and thalidomide followed by maintenance thalidomide in androgen-independent prostate cancer (AIPC): Final results of a phase II community based study in elderly men

15609

Background: The TET regimen was developed to test the potential synergy and tolerability of low dose, metronomic chemotherapy plus an anti-angiogenesis agent in the treatment of AIPC in elderly men. Preliminary results were presented in 2004 (ASCO Proceedings #4681); we now present the final results 5 years from protocol initiation. Methods: Eligible patients had progressive AIPC, an adequate PS (0–2) and were chemotherapy naïve. All patients received the TET regimen: Docetaxel (Taxotere [T]) 25 mg/m2 weekly for three weeks per month, Estramustine 140 mg po tid x 3 days per week (with T) and Thalidomide (Thal) 100–200 mg as tolerated. After six monthly cycles of TET, patients with responding or stable disease received maintenance Thal until progression. Coumadin 2 mg daily was given for thromboprophylaxis. A total of 19 patients out of an intended 25 were accrued from 6/01 to 9/05. Results: The median age was 79 (59–86); 70% of patients were ≥ 75 years of age. The median PSA was 83 (20–2266), median Gleason score 7, bone metastases were present in 14/19 patients and measurable disease in 12/19 patients. 17 patients completed at least one cycle of TET and were eligible for analysis. The PSA declined >50% in 10/17 (59%); there was 1 PR and 7 SD by RECIST criteria. Of six patients that received maintenance Thal, only one had PSA stabilization for more than three months. The median survival was 17 months. The major grade ¾ toxicities included non-life threatening DVT (3 patients), asthenia (6 patients), edema and dyspnea (one patient each). Thal 200 mg was especially poorly tolerated, requiring dose reductions in over half of the patients. Conclusions: In this trial of elderly men with AIPC, low-dose TET did not seem to improve upon the results previously reported for docetaxel or docetaxel/estramustine. The observed toxicities make it doubtful that a higher dose TET regimen could be tolerated by this population. Thalidomide maintenance was ineffective in maintaining responses.

No significant financial relationships to disclose.

eNOS gene transfer to vascular smooth muscle cells inhibits cell proliferation via upregulation of p27 and p21 and not apoptosis

OBJECTIVE

Smooth muscle cell (SMC) proliferation is a critical component of vascular diseases such as atherosclerosis and restenosis. Nitric oxide (NO) donors and gene transfer of endothelial nitric oxide synthase (eNOS) have been shown to inhibit SMC proliferation. NO may cause this effect by delaying cell cycle progression and/or induction of apoptosis. The aim of the current study was to examine the mechanism of eNOS-mediated inhibition of SMC proliferation. In addition, the effect of eNOS expression in vascular SMCs on the expression of the cyclin dependent kinase inhibitors, p27 and p21 was examined.

METHODS

SMCs were transduced with an adenoviral vector encoding eNOS (AdeNOS) or beta-galactosidase (Ad beta Gal) at a multiplicity of infection of 100. Non-transduced cells served as additional controls. Transgene expression was sought by NADPH diaphorase staining, immunohistochemistry and Western Blotting. Functionality of the recombinant protein was assessed by measurement of cGMP. Cell cycle analysis was performed by flow cytometry and p27 and p21 expression were studied by western blot analysis. Apoptosis was sought by Annexin V staining and DNA laddering.

RESULTS

eNOS expression was detected in transduced SMCs. cGMP levels were increased in eNOS-transduced compared to control cells. Expression of eNOS in SMCs resulted in a delay in cell cycle progression and upregulation of p27 and p21. There was no increase in apoptosis detected in eNOS transduced cells after 24 or 72 h.

CONCLUSION

eNOS gene transfer to vascular SMCs inhibits cell proliferation via upregulation of p27 and p21 resulting in a delay in cell cycle progression.

Cold haemagglutinin disease in systemic lupus erythematosus

A 34-year-old lady presenting with features of cold agglutinin disease during the course of systemic lupus erythematosus is described. Cold antibody titer was very high (1 in 4096) with specificity for 'I' antigen. Even though she had poor prognostic factors like high titer of cold antibodies with low thermal amplitude, she responded well to prednisolone.

Expression of epidermal growth factor receptor in gestational trophoblastic diseases

Gestational trophoblastic disease is an abnormal condition of the placenta, the incidence of which is very high in the State of Kerala, India. The biology of this disease is vague and methods to determine the malignant potential are limited. Placentae of normal (50) and molar pregnancies (95), including 32 showing persistent disease, were used for the study. Epidermal growth factor (EGFR), expression was evaluated by immunohistochemistry using monoclonal antibody, and quantified using the 125I-EGF-binding assay. EGFR was expressed more strongly in molar placentae than in normal placentae of similar gestational age, and was strong in the molar placentae of all gestational ages, whereas expression was mainly restricted to the first and second trimesters in normal placentae. Moles with early presenting symptoms (before 16 weeks) were at a higher risk of developing persistent disease. To conclude, the immunohistochemical study shows high expression of EGFR in early normal placentae and in moles, linking its role to the proliferative and differentiating activity of trophoblasts. Tumours with a histological diagnosis of invasive moles and choriocarcinoma showed very strong binding of EGFR. The present observations also suggest the possibility of mutated EGF receptors being present in persistent trophoblastic disease.