A 4-Gene Signature of CDKN1, FDXR, SESN1 and PCNA Radiation Biomarkers for Prediction of Patient Radiosensitivity.

The quest for the discovery and validation of radiosensitivity biomarkers is ongoing and while conventional bioassays are well established as biomarkers, molecular advances have unveiled new emerging biomarkers. Herein, we present the validation of a new 4-gene signature panel of CDKN1, FDXR, SESN1 and PCNA previously reported to be radiation-responsive genes, using the conventional G2 chromosomal radiosensitivity assay. Radiation-induced G2 chromosomal radiosensitivity at 0.05 Gy and 0.5 Gy IR is presented for a healthy control (n = 45) and a prostate cancer (n = 14) donor cohort. For the prostate cancer cohort, data from two sampling time points (baseline and Androgen Deprivation Therapy (ADT)) is provided, and a significant difference (p > 0.001) between 0.05 Gy and 0.5 Gy was evident for all donor cohorts. Selected donor samples from each cohort also exposed to 0.05 Gy and 0.5 Gy IR were analysed for relative gene expression of the 4-gene signature. In the healthy donor cohort, there was a significant difference in gene expression between IR dose for CDKN1, FXDR and SESN1 but not PCNA and no significant difference found between all prostate cancer donors, unless they were classified as radiation-induced G2 chromosomal radiosensitive. Interestingly, ADT had an effect on radiation response for some donors highlighting intra-individual heterogeneity of prostate cancer donors.

Heterogeneity in high-risk prostate cancer treated with high-dose radiation therapy and androgen deprivation therapy.

BACKGROUND: Our aim was to assess the heterogeneity of high-risk (HR) prostate cancer managed with high-dose external beam radiotherapy (EBRT) with androgen deprivation therapy (ADT). METHODS: We identified 547 patients who were treated with modern EBRT from 1997 to 2013, of whom 98% received ADT. We analyzed biochemical relapse-free survival (bRFS) and distant metastases-free survival (DMFS). RESULTS: Median EBRT dose was 74 Gy, and median ADT duration was 8 months. At 5 years, the DMFS was 85%. On multivariate analysis, significant predictors of shorter bRFS were biopsy Gleason score (bGS) of 8 to 10, higher prostate-specific antigen (PSA) level, shorter duration of ADT and lower radiation dose while predictors of shorter DMFS were bGS of 8 to 10, higher PSA level, and lower radiation dose. We identified an unfavorable high-risk (UHR) group of with 2-3 HR factors based on 2015 National Comprehensive Cancer Network (NCCN) criteria and a favorable high-risk (FHR) group, with 1 HR feature. Comparing very-HR prostate cancer, UHR & FHR, 5 year bRFS rates were 58.2%, 66.2%, and 69.2%, and 5 year DMFS rates were 78.4%, 81.2%, and 88.0%. CONCLUSION: Patients with multiple HR factors have worse outcome than patients with 1 HR factor. Future studies should account for this heterogeneity in HR prostate cancer.

The Impact of a National Cyberattack Affecting Clinical Trials: The Cancer Trials Ireland Experience.

PURPOSE: Cyberattacks are increasing in health care and cause immediate disruption to patient care, have a lasting impact, and compromise scientific integrity of affected clinical trials. On the May 14, 2021, the Irish health service was the victim of a nationwide ransomware attack. Patient care was disrupted across 4,000 locations, including 18 cancer clinical trials units associated with Cancer Trials Ireland (CTI). This report analyses the impact of the cyberattack on the organization and proposes steps to mitigate the impact of future cyberattacks. METHODS: A questionnaire was distributed to the units within the CTI group; this examined key performance indicators for a period of 4 weeks before, during, and after the attack, and was supplemented by minutes of weekly conference call with CTI units to facilitate information sharing, accelerate mitigation, and support affected units. A total of 10 responses were returned, from three private and seven public hospitals. RESULTS: The effect of the attack on referrals and enrollment to trials was marked, resulting in a drop of 85% in referrals and 55% in recruitment before recovery. Radiology, radiotherapy, and laboratory systems are heavily reliant on information technology systems. Access to all was affected. Lack of preparedness was highlighted as a significant issue. Of the sites surveyed, two had a preparedness plan in place before the attack, both of these being private institutions. Of the eight institutions where no plan was in place, three now have or are putting a plan in place, whereas no plan is in place at the five remaining sites. CONCLUSION: The cyberattack had a dramatic and sustained impact on trial conduct and accrual. Increased cybermaturity needs to be embedded in clinical trial logistics and the units conducting them.

Vibrational spectroscopy of liquid biopsies for prostate cancer diagnosis.

BACKGROUND: Screening for prostate cancer with prostate specific antigen and digital rectal examination allows early diagnosis of prostate malignancy but has been associated with poor sensitivity and specificity. There is also a considerable risk of over-diagnosis and over-treatment, which highlights the need for better tools for diagnosis of prostate cancer. This study investigates the potential of high throughput Raman and Fourier Transform Infrared (FTIR) spectroscopy of liquid biopsies for rapid and accurate diagnosis of prostate cancer. METHODS: Blood samples (plasma and lymphocytes) were obtained from healthy control subjects and prostate cancer patients. FTIR and Raman spectra were recorded from plasma samples, while Raman spectra were recorded from the lymphocytes. The acquired spectral data was analysed with various multivariate statistical methods, principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA) and classical least squares (CLS) fitting analysis. RESULTS: Discrimination was observed between the infrared and Raman spectra of plasma and lymphocytes from healthy donors and prostate cancer patients using PCA. In addition, plasma and lymphocytes displayed differentiating signatures in patients exhibiting different Gleason scores. A PLS-DA model was able to discriminate these groups with sensitivity and specificity rates ranging from 90% to 99%. CLS fitting analysis identified key analytes that are involved in the development and progression of prostate cancer. CONCLUSIONS: This technology may have potential as an alternative first stage diagnostic triage for prostate cancer. This technology can be easily adaptable to many other bodily fluids and could be useful for translation of liquid biopsy-based diagnostics into the clinic.

Effect of hemolysis on Fourier transform infrared and Raman spectra of blood plasma.

Hemolysis is a very common phenomenon and is referred as the release of intracellular components from red blood cells to the extracellular fluid. Hemolyzed samples are often rejected in clinics due to the interference of hemoglobin and intracellular components in laboratory measurements. Plasma and serum based vibrational spectroscopy studies are extensively applied to generate spectral biomarkers for various diseases. However, no studies have reported the effect of hemolysis in blood based vibrational spectroscopy studies. This study was undertaken to evaluate the effect of hemolysis on infrared and Raman spectra of blood plasma. In this study, prostate cancer plasma samples (n = 30) were divided into three groups (nonhemolyzed, mildly hemolyzed, and moderately hemolyzed) based on the degree of hemolysis and FTIR and Raman spectra were recorded using high throughput (HT)-FTIR and HT-Raman spectroscopy. Discrimination was observed between the infrared and Raman spectra of nonhemolyzed and hemolyzed plasma samples using principal component analysis. A classical least square fitting analysis showed differences in the weighting of pure components in nonhemolyzed and hemolyzed plasma samples. Therefore, it is worth to consider the changes in spectral features due to hemolysis when comparing the results within and between experiments.

Prediction of DNA damage and G2 chromosomal radio-sensitivity ex vivo in peripheral blood mononuclear cells with label-free Raman micro-spectroscopy.

PURPOSE: Liquid biopsies are a potentially rich store of biochemical information that can be linked to an individual's response to therapeutic treatments, including radiotherapy, and which may ultimately play a role in the individualization of treatment regimens. Peripheral blood mononuclear cells (PBMCs) can be used not only for the biochemical profiling of the individual, but also, being living cells, can provide insights into the individuals response to ionizing radiation exposure. MATERIALS AND METHODS: The present study attempts to link the biochemical profile of lymphocytes within PBMCs obtained through Raman spectroscopy to in vitro measures of low-dose (<0.5Gy) DNA damage response and cytogenetic metrics of radiosensitivity in a cohort of healthy controls and prostate cancer patients (from CTRIAL-IE(ICORG) 08-17, NCT00951535). All parallel metrics to the Raman spectra of the cells were obtained ex vivo in cycling peripheral blood lymphocytes, with radiosensitivity estimated using the G2 chromosomal assay and DNA damage assessed using γH2AX fluorescence. Spectra from a total of 26 healthy volunteers and 22 prostate cancer patients were obtained. RESULTS: The links between both measures of cellular response to ionizing radiation and the Raman spectra were modeled using partial least squares regression (PLSR) and support-vector regression (SVR). It was found that neither regression approach could predict radiation-induced G2 score well, but could predict γH2AX MFI with the SVR outperforming PLSR, implying a non-linear relationship between spectral measurements and measures of DNA damage. CONCLUSIONS: Raman spectroscopy of PBMCs represents a label-free approach for prediction of DNA damage levels for either prospective or retrospective analysis.

Monitoring Radiotherapeutic Response in Prostate Cancer Patients Using High Throughput FTIR Spectroscopy of Liquid Biopsies.

Radiation therapy (RT) is used to treat approximately 50% of all cancer patients. However, RT causes a wide range of adverse late effects that can affect a patient's quality of life. There are currently no predictive assays in clinical use to identify patients at risk of normal tissue radiation toxicity. This study aimed to investigate the potential of Fourier transform infrared (FTIR) spectroscopy for monitoring radiotherapeutic response. Blood plasma was acquired from 53 prostate cancer patients at five different time points: prior to treatment, after hormone treatment, at the end of radiotherapy, two months post radiotherapy and eight months post radiotherapy. FTIR spectra were recorded from plasma samples at all time points and the data was analysed using MATLAB software. Discrimination was observed between spectra recorded at baseline versus follow up time points, as well as between spectra from patients showing minimal and severe acute and late toxicity using principal component analysis. A partial least squares discriminant analysis model achieved sensitivity and specificity rates ranging from 80% to 99%. This technology may have potential to monitor radiotherapeutic response in prostate cancer patients using non-invasive blood plasma samples and could lead to individualised patient radiotherapy.