Artificial intelligence-assisted selection and efficacy prediction of antineoplastic strategies for precision cancer therapy.

The rapid development of artificial intelligence (AI) technologies in the context of the vast amount of collectable data obtained from high-throughput sequencing has led to an unprecedented understanding of cancer and accelerated the advent of a new era of clinical oncology with a tone of precision treatment and personalized medicine. However, the gains achieved by a variety of AI models in clinical oncology practice are far from what one would expect, and in particular, there are still many uncertainties in the selection of clinical treatment options that pose significant challenges to the application of AI in clinical oncology. In this review, we summarize emerging approaches, relevant datasets and open-source software of AI and show how to integrate them to address problems from clinical oncology and cancer research. We focus on the principles and procedures for identifying different antitumor strategies with the assistance of AI, including targeted cancer therapy, conventional cancer therapy, and cancer immunotherapy. In addition, we also highlight the current challenges and directions of AI in clinical oncology translation. Overall, we hope this article will provide researchers and clinicians with a deeper understanding of the role and implications of AI in precision cancer therapy, and help AI move more quickly into accepted cancer guidelines.

Impact of COVID-19 pandemic among patients with lung and head and neck cancer assisted in a public cancer center in Brazil.

BACKGROUND: There is no updated national data regarding the real impact of the COVID-19 pandemic on delaying diagnosis and treatment among patients with lung, and head, and neck cancers in Brazil. This study aimed to analyze the COVID-19 pandemic impact on cancer diagnosis and clinical outcomes among lung, head, and neck cancer patients assisted in a tertiary cancer center in Southeastern Brazil, as well as to analyze these patients' pretreatment clinical features. METHODS: Retrospective cohort of patients with lung or head and neck cancer assisted in a tertiary cancer center in southeastern Brazil between January/2019 and December/2021. To assess statistical differences among groups [i.e., cohort 2019 versus (vs.) 2020 and 2019 vs. 2021] chi-square test was used with a 5% significance level and 90% power for sample size calculation. Differences among baseline clinical features and sociodemographic characteristics were evaluated either by T-test for two samples or Fisher's or Pearson's chi-square test (for quantitative or qualitative variables). All utilized tests had a 5% significance level. RESULTS: Six hundred fifty-two patients were included, 332 with lung and 320 with head and neck cancer; it was observed a significant decrease in oncologic treatment recommendations and increase in palliative care recommendation for patients with lung cancer, despite similar stages at diagnosis. During the COVID-19 pandemic, more pain symptoms were reported at the first Oncology assessment for patients with head and neck cancer (p < 0.05). Compared to 2019, head and neck cancer patients diagnosed in 2021 presented a worse initial performance status (p = 0.008). There was a statistically significant increase in survival for patients diagnosed with head and neck cancer in 2021 when compared to 2019 (p = 0.003). CONCLUSIONS: This research highlights low survival rates for patients with lung and head and neck cancer in Brazil, even before the pandemic started, as consequence of advanced diseases at diagnosis at the public health system and clinical degrading features. Additionally, there was an increase incidence in both lung cancer and head and neck cancer despite no differences in clinical stage. This reflects how fragile is the public healthcare system even before facing an acute public health crisis such as the COVID-19 pandemic. Yet, the total impact on public health may follow for many years.

Consensus statement on extracellular vesicles in liquid biopsy for advancing laboratory medicine.

Extracellular vesicles (EVs) represent a diverse class of nanoscale membrane vesicles actively released by cells. These EVs can be further subdivided into categories like exosomes and microvesicles, based on their origins, sizes, and physical attributes. Significantly, disease-derived EVs have been detected in virtually all types of body fluids, providing a comprehensive molecular profile of their cellular origins. As a result, EVs are emerging as a valuable addition to liquid biopsy techniques. In this collective statement, the authors share their current perspectives on EV-related research and product development, with a shared commitment to translating this newfound knowledge into clinical applications for cancer and other diseases, particularly as disease biomarkers. The consensus within this document revolves around the overarching recognition of the merits, unresolved questions, and existing challenges surrounding EVs. This consensus manuscript is a collaborative effort led by the Committee of Exosomes, Society of Tumor Markers, Chinese anti-Cancer Association, aimed at expediting the cultivation of robust scientific and clinically applicable breakthroughs and propelling the field forward with greater swiftness and efficacy.

Anxiety and depression among women with newly diagnosed vulvar cancer - A nationwide longitudinal study.

INTRODUCTION: Our objective was to investigate the trajectories of anxiety, depression, emotional and social functioning in women with newly diagnosed vulvar cancer from the time of diagnosis to 12 months after treatment. A further aim was to identify risk factors for high levels of anxiety. MATERIAL AND METHODS: PROVE (PROspective Vulvar Cancer Evaluation) is a nationwide longitudinal cohort study investigating quality of life in women with newly diagnosed vulvar cancer by the following validated patient-reported outcome measures at diagnosis, and 3 and 12 months after treatment: The Hospital Anxiety and Depression Scale, the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire C30, and the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Vulvar module VU34. Mean scores, changes over time and associations were analyzed by generalized estimated equations and log-linear regression models, adjusted for possible confounders. RESULTS: Between 2019 and 2021, 105 (69%) women completed the questionnaires at all three time points. At diagnosis, 42% of the women reported elevated anxiety levels, decreasing significantly to 30% during the first 12 months. Insomnia, persisting vulvar symptoms and high information needs were significantly associated with a high level of anxiety (relative risk [RR] 2.1, 95% CI 1.2-3.7 for insomnia; RR 2.8, 95% CI 1.7-4.6 for vulvar symptoms, RR 2.7, 95% CI 1.5-4.9 for information needs). We found a trend towards a higher level of anxiety in younger women (<65 years: RR 1.5, 95% CI 1.0-2.5). Participants reported a low and stable prevalence of depression (14%) and high social functioning throughout the study period. CONCLUSIONS: Women with newly diagnosed vulvar cancer report a high level of anxiety at diagnosis. Despite a significant improvement, anxiety remains widely prevalent during the first year of follow-up. Targeting insomnia, vulvar symptoms and unmet needs may decrease anxiety during surveillance.

Analysis of pharmaceutical interventions in chemotherapy prescriptions of adult and pediatric patients at an oncology reference institute.

Chemotherapy, one of the primary cancer treatments, has a high risk of causing significant harm in cases of its misuse. Pharmaceutical intervention is one of the strategies used to prevent medication errors from reaching the patient by identifying drug-related problems or other discrepancies related to patient data or medical progress. The primary objective of this study was to analyze the profile of the pharmaceutical intervention made in chemotherapy prescriptions for adult and pediatric patients in order to measure its impact on patient safety. A retrospective cross-sectional and observational study was conducted at a reference center for cancer treatment in Rio de Janeiro, Brazil. Pharmaceutical interventions performed in chemotherapy prescriptions from January to October 2022 were quantified, classified, and analyzed by their type, most common medicine, and acceptability. From the patients treated in the period, 220 (14.8%) adults and 64 (23.4%) children and teenagers received at least one pharmaceutical intervention. The most common types for adults were dose adjustments: overdose (22.5%) and underdose (22.5%). However, in pediatry, incompleteness of supporting drug protocol (22.1%) was the most registered. The most common medicines involved in pharmaceutical intervention were carboplatin (for adults) and electrolytes/hydration (for pediatric patients). Pharmaceutical intervention acceptability by prescriptors was very similar, reaching 80.4% for adults and 77.9% for pediatrics. The pharmaceutical intervention profile was quite distinct by virtue of the singularities of each population. The pharmacists' role was shown to be paramount in intercepting medication errors in the prescription of chemotherapy protocols, contributing to patient safety.

Impact of telenurse-led intervention in clinical trials on health literacy, empowerment, and health outcomes in patients with solid tumours: a pilot quasi-experimental study.

BACKGROUND: During the COVID-19 pandemic, decentralised clinical trials incorporated self-monitoring, self-reporting, and telenursing tools to address health literacy and health empowerment of patients enrolled in clinical trials. We aimed to determine the impact of an educational intervention using telenursing consultations on health literacy, health empowerment, and health-related quality of life in cancer patients enrolled in clinical trials by measuring the level of satisfaction with the care received and assessing the views of healthcare professionals concerning the advanced practice nurse (APN) role in oncology clinical trials. METHODS: In this pilot analytical, descriptive, longitudinal, quasi-experimental, and pre-post test study, an educational intervention was conducted by 5 visits with an APN using synchronous teleconsultation in patients starting cancer treatment for the first time in a clinical trial (n = 60), and health professionals working with the APN (n = 31). A descriptive analysis of the samples and questionnaires were utilised along with statistical comparisons. RESULTS: After the intervention, patients' health literacy (31.7%), health empowerment (18.3%), and health-related quality of life (33.3%) increased (p < 0.05), with a decrease and trend towards resolution of care needs (p < 0.05). Satisfaction with the quality and care received in terms of perceived convenience, transition, and continuity of care showed positive results in 64.9 ± 20.7, 77.6 ± 19.5, and 72.1 ± 20.4 of respondents, respectively. On the overall assessment of the APN role, healthcare professionals expressed a high level of agreement with the statements related to their work performance. CONCLUSIONS: The data indicates that a clinical trial APN-led telenursing educational intervention results in an overall increase in health literacy, an improvement in health empowerment and health-related quality of life, and a decrease in care needs of oncology clinical trials patients. Patients stated that they received a high quality of care and health professionals indicated high levels of acceptance with APNs. Based on these results, we suggest that the APN role should gain more recognition in the Spanish healthcare system and their professional competencies should be aligned with those of other countries.

A Bioinformatics Toolkit for Next-Generation Sequencing in Clinical Oncology.

Next-generation sequencing (NGS) has taken on major importance in clinical oncology practice. With the advent of targeted therapies capable of effectively targeting specific genomic alterations in cancer patients, the development of bioinformatics processes has become crucial. Thus, bioinformatics pipelines play an essential role not only in the detection and in identification of molecular alterations obtained from NGS data but also in the analysis and interpretation of variants, making it possible to transform raw sequencing data into meaningful and clinically useful information. In this review, we aim to examine the multiple steps of a bioinformatics pipeline as used in current clinical practice, and we also provide an updated list of the necessary bioinformatics tools. This resource is intended to assist researchers and clinicians in their genetic data analyses, improving the precision and efficiency of these processes in clinical research and patient care.

Risk as a pattern over time: Delineation of time-dependent risk factors in biological, psychological, and social variables in cancer patients.

BACKGROUND: Survival in cancer patients is associated with a multitude of biological, social, and psychological factors. Although it is well established that all these factors add to overall mortality, it is not well understood how the predictive power of these parameters changes in a comprehensive model and over time. METHODS: Patients who attended the authors' outpatient clinic were invited to participate. The authors followed 5180 mixed cancer patients (51.1% female; mean age, 59.1 years [SD = 13.8]) for up to 16 years and analyzed biological (age, sex, cancer site, anemia), psychological (anxiety, depression), and social variables (marital status, education, employment status) potentially predicting overall survival in a Cox proportional hazards model. RESULTS: The median survival time for the entire sample was 4.3 years (95% confidence interval, 4.0-4.7). The overall survival probabilities for 1 and 10 years were 76.8% and 38.0%, respectively. Following an empirical approach, the authors split the time interval into five periods: acute, subacute, short-term, medium-term, and long-term. A complex pattern of variables predicted overall survival differently in the five periods. Biological parameters were important throughout most of the time, social parameters were either time-independent predictors or tended to be more important in the longer term. Of the psychological parameters, only depression was a significant predictor and lost its predictive power in the long-term. CONCLUSIONS: The findings of this study allow the development of comprehensive patient-specific models of risk and resilience factors addressing biopsychosocial needs of cancer patients, paving the way for a personalized treatment plan that goes beyond biomedical cancer care.

An update on the developments in the treatment of adult T-cell leukemia-lymphoma: current knowledge and future perspective.

Adult T-cell leukemia-lymphoma is defined as peripheral T-cell lymphoma caused by the human T-cell leukemia virus type I. Adult T-cell leukemia-lymphoma is classified into indolent (favorable chronic or smoldering) or aggressive (acute, lymphoma or unfavorable chronic) types. This review discusses the therapeutic developments for patients with adult T-cell leukemia-lymphoma and unmet issues in treating adult T-cell leukemia-lymphoma. For indolent adult T-cell leukemia-lymphoma, a watchful waiting strategy is recommended until the disease progresses to aggressive adult T-cell leukemia-lymphoma. For aggressive adult T-cell leukemia-lymphoma, multi-agent chemotherapy with or without allogeneic hematopoietic stem cell transplantation has been recommended. However, many patients with adult T-cell leukemia-lymphoma relapse, and their prognosis is poor. Recently, novel agents, including mogamulizumab, lenalidomide, brentuximab vedotin, tucidinostat and valemetostat, have been approved for patients with relapsed or refractory aggressive adult T-cell leukemia-lymphoma, and the combination of mogamulizumab with multi-agent chemotherapy or brentuximab vedotin with cyclophosphamide, doxorubicin and prednisone has been approved for patients with untreated aggressive adult T-cell leukemia-lymphoma in Japan. Importantly, the aging of patients with adult T-cell leukemia-lymphoma has recently been reported, and no standard of care for elderly patients with adult T-cell leukemia-lymphoma has been established. New evidence must be obtained from prospective clinical trials to improve the prognosis of patients with adult T-cell leukemia-lymphoma.

Prospective Comparison of Geriatric Assessment and Provider's Assessment of Older Adults With Metastatic Breast Cancer in the Community.

BACKGROUND: Geriatric assessment (GA) is recommended for evaluating fitness of an older adult with cancer. Our objective was to prospectively evaluate the gaps that exist in the assessment of older adults with metastatic breast cancer (OA-MBC) in community practices (CP). METHODS: Self-administered GA was compared to provider's assessment (PA) of patients living with MBC aged ≥65 years treated in CP Providers were blinded to the GA results until PA was completed. McNemar's test was used to detect differences between PA and GA. RESULTS: One hundred patients were enrolled across 9 CP (median age 73.9). Geriatric assessment detected a total of 356 abnormalities in 96 patients; of which, 223 required interventions. African American and widowed/single patients were more likely to have abnormalities identified by GA. On average, across 100 patients, PA did not detect 25.5% of GA-detected abnormalities, mostly in functional status, social support, nutrition, and cognition. These differences were less pronounced among providers with more clinical experience. Patients with abnormal Timed Up and Go tests more likely had additional abnormalities in other domains, and more abnormalities that were not identified by PA. Providers were "surprised" by GA results in 33% of cases, mainly with cognitive or social support findings, and reported plans for management change for 39% of patients based on GA findings. CONCLUSIONS: Including a GA in the care of OA-MBC in CP is beneficial for the detection of multiple abnormalities not detected by routine PA.

The impeded diffusion fraction quantitative imaging assay demonstrated in multi-exponential diffusion phantom and prostate cancer.

PURPOSE: To demonstrate a method for quantification of impeded diffusion fraction (IDF) using conventional clinical DWI protocols. METHODS: The IDF formalism is introduced to quantify contribution from water coordinated by macromolecules to DWI voxel signal based on fundamentally different diffusion constants in vascular capillary, bulk free, and coordinated water compartments. IDF accuracy was studied as a function of b-value set. The IDF scaling with restricted compartment size and polyvinylpirrolidone (PVP) macromolecule concentration was compared to conventional apparent diffusion coefficient (ADC) and isotropic kurtosis model parameters for a diffusion phantom. An in vivo application was demonstrated for six prostate cancer (PCa) cases with low and high grade lesions annotated from whole mount histopathology. RESULTS: IDF linearly scaled with known restricted (vesicular) compartment size and PVP concentration in phantoms and increased with histopathologic score in PCa (from median 9% for atrophy up to 60% for Gleason 7). IDF via non-linear fit was independent of b-value subset selected between b = 0.1 and 2 ms/µm2 , including standard-of-care (SOC) PCa protocol. With maximum sensitivity for high grade PCa, the IDF threshold below 51% reduced false positive rate (FPR = 0/6) for low-grade PCa compared to apparent diffusion coefficient (ADC > 0.81 µm2 /ms) of PIRADS PCa scoring (FPR = 3/6). CONCLUSION: The proposed method may provide quantitative imaging assays of cancer grading using common SOC DWI protocols.

Direct inference of Patlak parametric images in whole-body PET/CT imaging using convolutional neural networks.

PURPOSE: This study proposed and investigated the feasibility of estimating Patlak-derived influx rate constant (Ki) from standardized uptake value (SUV) and/or dynamic PET image series. METHODS: Whole-body 18F-FDG dynamic PET images of 19 subjects consisting of 13 frames or passes were employed for training a residual deep learning model with SUV and/or dynamic series as input and Ki-Patlak (slope) images as output. The training and evaluation were performed using a nine-fold cross-validation scheme. Owing to the availability of SUV images acquired 60 min post-injection (20 min total acquisition time), the data sets used for the training of the models were split into two groups: "With SUV" and "Without SUV." For "With SUV" group, the model was first trained using only SUV images and then the passes (starting from pass 13, the last pass, to pass 9) were added to the training of the model (one pass each time). For this group, 6 models were developed with input data consisting of SUV, SUV plus pass 13, SUV plus passes 13 and 12, SUV plus passes 13 to 11, SUV plus passes 13 to 10, and SUV plus passes 13 to 9. For the "Without SUV" group, the same trend was followed, but without using the SUV images (5 models were developed with input data of passes 13 to 9). For model performance evaluation, the mean absolute error (MAE), mean error (ME), mean relative absolute error (MRAE%), relative error (RE%), mean squared error (MSE), root mean squared error (RMSE), peak signal-to-noise ratio (PSNR), and structural similarity index (SSIM) were calculated between the predicted Ki-Patlak images by the two groups and the reference Ki-Patlak images generated through Patlak analysis using the whole acquired data sets. For specific evaluation of the method, regions of interest (ROIs) were drawn on representative organs, including the lung, liver, brain, and heart and around the identified malignant lesions. RESULTS: The MRAE%, RE%, PSNR, and SSIM indices across all patients were estimated as 7.45 ± 0.94%, 4.54 ± 2.93%, 46.89 ± 2.93, and 1.00 ± 6.7 × 10-7, respectively, for models predicted using SUV plus passes 13 to 9 as input. The predicted parameters using passes 13 to 11 as input exhibited almost similar results compared to the predicted models using SUV plus passes 13 to 9 as input. Yet, the bias was continuously reduced by adding passes until pass 11, after which the magnitude of error reduction was negligible. Hence, the predicted model with SUV plus passes 13 to 9 had the lowest quantification bias. Lesions invisible in one or both of SUV and Ki-Patlak images appeared similarly through visual inspection in the predicted images with tolerable bias. CONCLUSION: This study concluded the feasibility of direct deep learning-based approach to estimate Ki-Patlak parametric maps without requiring the input function and with a fewer number of passes. This would lead to shorter acquisition times for WB dynamic imaging with acceptable bias and comparable lesion detectability performance.

A stratified adaptive two-stage design with co-primary endpoints for phase II clinical oncology trials.

BACKGROUND: Given the inherent challenges of conducting randomized phase III trials in older cancer patients, single-arm phase II trials which assess the feasibility of a treatment that has already been shown to be effective in a younger population may provide a compelling alternative. Such an approach would need to evaluate treatment feasibility based on a composite endpoint that combines multiple clinical dimensions and to stratify older patients as fit or frail to account for the heterogeneity of the study population to recommend an appropriate treatment approach. In this context, stratified adaptive two-stage designs for binary or composite endpoints, initially developed for biomarker studies, allow to include two subgroups whilst maintaining competitive statistical performances. In practice, heterogeneity may indeed affect more than one dimension and incorporating co-primary endpoints, which independently assess each individual clinical dimension, would therefore appear quite pertinent. The current paper presents a novel phase II design for co-primary endpoints which takes into account the heterogeneity of a population.  METHODS: We developed a stratified adaptive Bryant & Day design based on the Jones et al. and Parashar et al. algorithm. This two-stage design allows to jointly assess two dimensions (e.g. activity and toxicity) in two different subgroups. The operating characteristics of this new design were evaluated using examples and simulation comparisons with the Bryant & Day design in the context where the study population is stratified according to a pre-defined criterion. RESULTS: Simulation results demonstrated that the new design minimized the expected and maximum sample sizes as compared to parallel Bryant & Day designs (one in each subgroup), whilst controlling type I error rates and maintaining a competitive statistical power as well as a high probability of detecting heterogeneity. CONCLUSIONS: In a heterogeneous population, this two-stage stratified adaptive phase II design provides a useful alternative to classical one and allows to identify a subgroup of interest without dramatically increasing sample size. As heterogeneity is not limited to older populations, this new design may also be relevant to other study populations such as children or adolescents and young adults or the development of targeted therapies based on a biomarker.

Indications for fertility preservation not included in the 2017 Japan Society of Clinical Oncology Guideline for Fertility Preservation in Pediatric, Adolescent, and Young Adult Patients treated with gonadal toxicity, including benign diseases.

In recent years, local governments in Japan have established a public financial support system for fertility preservation in pediatric, adolescent, and young adult cancer patients. Fertility preservation has become popular for patients with cancers included in the gonadal toxicity risk classification of the 2017 edition of the Guideline for Fertility Preservation in Children, Adolescents and Young Adult Cancer Patients from the Japan Society of Clinical Oncology. However, patients with cancer and non-cancer diseases that are not included in the Guideline's gonadal toxicity risk classification also often receive treatment that may affect fertility, but they are often denied the opportunity of fertility preservation because no public financial support is available for diseases not listed in the Guideline. The national research project proposes including these diseases in the indications and treatment for fertility preservation. Therefore, we cooperated with the Japan Society for Fertility Preservation and the Ministry of Health, Labour and Welfare research group to solicit opinions from experts in each therapeutic area and reviewed the literature and overseas guidelines. This paper summarizes the findings of the project. We believe that it will be an important source of information for clinicians treating patients who need fertility preservation but note that the appropriateness of fertility preservation for the disorders listed in this report needs to be continuously reviewed as medical care advances.

Analysis of the interventions in antineoplastic therapy by a clinical pharmacy service at a tertiary hospital in Brazil.

BACKGROUND: Medication errors are avoidable occurrences that can assume clinically significant dimensions and impose relevant costs to the health system, especially in the context of antineoplastic therapy. OBJECTIVE: Assess the clinical significance and economic impacts of a clinical pharmaceutical service. This retrospective study consists of an analysis of pharmacy interventions and drug-related problems found in a review of electronic prescriptions referring to antineoplastic therapy of a public teaching tertiary hospital in Brazil. METHOD: Retrospective descriptive study obtained from electronic records of drug-related problems and pharmaceutical interventions related to antineoplastic therapy for oncological and hematological diseases, obtained through the pharmacotherapy review service. The accepted interventions were analyzed for the financial impact generated, evaluating your direct costs. The perception of clinical significance of a random sample of interventions was ascertained by the experts' opinion, using the Delphi method. RESULTS: The most frequent problem was a "lack of information to professionals" (25.06%), "problems as to the frequency and interval of doses" (22.90%), and "medication underdosing" (16.20%). Dose adjustment (31.50%) and clarifications (30.90%) were the most frequent pharmaceutical interventions. In the second round of Delphi, experts rated 77.77% of interventions as extremely significant and very significant. The main drugs reported in the interventions were cyclophosphamide, carboplatin, methotrexate, folinic acid, and monoclonal antibodies. The savings amounted to US$1,193,970.18 and involved mainly bortezomib, dactinomycin, and monoclonal antibodies. CONCLUSION: Clinical pharmacy services contributed to the rational use of medicines presenting clinical significance and avoiding waste of financial resources.

[JCOG lung cancer surgery trial series: review and interpretation].

Surgery is so far the most effective treatment for early-stage non-small cell lung cancer (NSCLC). Since the 1990s, the pathology spectrum of early-stage lung cancer has gradually changed because of the increased detection of ground-glass opacity (GGO). The findings from preoperative thin-section computed tomography are strong predictors for the invasiveness and lymph node involvement of GGO, and limited surgery is believed to be implemented safely for radiological less invasive lesions, which calls into question the dominance of lobectomy. After the JCOG0201 trial establishing the radiologic criteria of pathological noninvasiveness for lung adenocarcinoma, the Japan Clinical Oncology Group (JCOG) and the West Japan Oncology Group (WJOG) have successively carried out a series of prospective imaging-guided trials to investigate the optimal surgical procedure for early-stage lung cancer. JCOG0804, was a single-arm, non-randomized, confirmatory trial to evaluate the efficacy and safety of sublobar resection (wedge resection and segmentectomy) for GGO dominant peripheral lung cancer. The primary end point was 5-year relapse-free survival. JCOG0802/WJOG4607L, was a multicentre, open-label, phase 3, randomized, controlled, non-inferiority trial to investigate if segmentectomy was non-inferior to lobectomy in patients with small-sized peripheral NSCLC. The primary endpoint was 5-year overall survival. JCOG1211 was also a non-randomized confirmatory trial to confirm the efficacy of a segmentectomy for clinical T1N0 lung cancer with dominant GGO. The primary endpoint was 5-year relapse-free survival. The findings of JCOG0804 and JCOG0802, and the primary analysis results of JCOG1211 have been officially published. This article systematically reviewed and interpreted the results of the JCOG lung cancer surgery trial series.

RNA sequencing for research and diagnostics in clinical oncology.

Molecular diagnostics is becoming one of the major drivers of personalized oncology. With hundreds of different approved anticancer drugs and regimens of their administration, selecting the proper treatment for a patient is at least nontrivial task. This is especially sound for the cases of recurrent and metastatic cancers where the standard lines of therapy failed. Recent trials demonstrated that mutation assays have a strong limitation in personalized selection of therapeutics, consequently, most of the drugs cannot be ranked and only a small percentage of patients can benefit from the screening. Other approaches are, therefore, needed to address a problem of finding proper targeted therapies. The analysis of RNA expression (transcriptomic) profiles presents a reasonable solution because transcriptomics stands a few steps closer to tumor phenotype than the genome analysis. Several recent studies pioneered using transcriptomics for practical oncology and showed truly encouraging clinical results. The possibility of directly measuring of expression levels of molecular drugs' targets and profiling activation of the relevant molecular pathways enables personalized prioritizing for all types of molecular-targeted therapies. RNA sequencing is the most robust tool for the high throughput quantitative transcriptomics. Its use, potentials, and limitations for the clinical oncology will be reviewed here along with the technical aspects such as optimal types of biosamples, RNA sequencing profile normalization, quality controls and several levels of data analysis.

A systematic scoping review of multidisciplinary cancer team and decision-making in the management of men with advanced prostate cancer.

PURPOSE: The early diagnosis of prostate cancer and subsequent access to the treatment options helps to achieve optimal cancer outcomes. As the treatment options for patients with advanced prostate cancer continues to evolve, patients need to access a multidisciplinary team (MDT) meeting to receive best-practice care. METHODS: In this paper a MEDLINE review was performed to assess clinical decision making in the context of MDT discussions for patients with advanced prostate cancer. RESULTS: From 441 returned articles and abstracts, 50 articles were assessed for eligibility and 16 articles included for analysis. Sixteen articles were identified, 9 of the 16 articles used quantitative methodology including three retrospective analysis of clinical registry data, patient medical records and/or MDT meeting notes and three cross-sectional surveys. Other study designs included one observation study and one study using a combination of qualitative and quantitative methodologies and one mini-review. There were also four editorials included in the review and two consensus statements. CONCLUSION: This paper highlights the important role the inter-disciplinary MDT has on shared decision making for men with advanced prostate cancer. The application of MDT care is a rapidly growing trend in uro-oncology and an efficient MDT service requires further research to assess its efficiency so that it may expand through all aspect of uro-oncology.

Prevalence of pain and its association with symptoms of post-traumatic stress disorder, depression, anxiety and distress in 846 cancer patients: A cross sectional study.

OBJECTIVE: Pain depicts a severe physical symptom but its relationship to mental health problems is not well studied in cancer patients. The aim of this study was to investigate the prevalence of pain and its correlation with symptoms of post-traumatic stress disorder (PTSD), depression, anxiety and psychological distress in a large sample of cancer patients. METHODS: From 2010 to 2019, cancer patients who received outpatient treatment at the Medical University of Vienna were assessed with the Post-Traumatic Symptom Scale (PTSS-10) and the Hospital Anxiety and Depression Scales. A visual analogue scale was used to assess pain perception. For statistical analysis, linear regression models were applied to log-transformed data. RESULTS: Of the 846 cancer patients included in the study, 63.5% experienced pain (mild 43.5%, moderate 13.6%, severe 6.4%). About a third (31.2%) of the total sample presented with significant PTSD symptoms. Significant symptoms of depression, anxiety and distress were present in 13.9%, 15.1% and 25.3%, respectively. Women more often reported symptoms of PTSD, anxiety and distress. Pain scores were significantly related to symptoms of PTSD, depression and psychological distress (all with p < .001), but not to anxiety. CONCLUSIONS: Results show a high prevalence of experienced pain and indicate a clear association of elevated pain levels with psychiatric symptoms in oncological patients in a large Austrian sample. In order to decrease experienced pain and to enable better treatment of mental health problems in cancer patients, diagnostic procedures and interventions based on a biopsychosocial model need to be intensified.

Incorporating a clinical oncology pharmacist into an ambulatory care pharmacy in pediatric hematology-oncology and transplant clinic: Assessment and significance.

BACKGROUND: Beta thalassemia patients, post-bone marrow transplant, and leukemia patients require long term therapy with an intense care follow-up especially for pediatric hematology-oncology origin. Emergence of side effects and noncompliance to therapy lead to reduced efficacy of medicines resulting in relapse of diseases. There is an increasing fact to support the incorporation of a pharmacist into clinical team due to their distinctive skills. Clinical oncology pharmacist with experience and specialized training in hematological cancers and bone marrow transplantation (BMT) patient care has in-depth knowledge and skills of chemotherapy regimens including drug information, monitoring parameters of cancer treatment, dose adjustment, drug-drug interactions, adverse effects, and patient counseling skills. AIM AND OBJECTIVES: The main objective of our study was to assess the significance of incorporation of clinical oncology pharmacist in ambulatory care in pediatric hematology-oncology and transplant clinic. MATERIAL AND METHOD: This study was conducted at National Institute of Blood Diseases and Bone Marrow Transplantation hospital with duration of five months from 17 March 2019 to 16 July 2019. In this study the clinical oncology pharmacist was made available at ambulatory clinic of hematology-oncology and transplantation. The activities performed by a clinical oncology pharmacist were observed by resident BMT clinical pharmacist during the visits of patients and their families in a clinic. The BMT pharmacist is a clinical oncology pharmacist with experience and specialized training in hematological cancers and BMT patient care. Only pediatrics patients with beta thalassemia major and those who were on chemotherapy treatment and post-transplant patient were included in this study. RESULTS: During the five months' tenure, there were 1820 pediatric patients' visits in total. The clinical oncology pharmacist performed 980 direct patient interviews and documented 1665 pharmacist interventions. The majority of the documented clinical oncology pharmacist interventions were review of medication histories (n: 404, 24%) and "deferiprone" dose adjustments (n:400, 24%). Genomic profiling interventions were also among the commonly reported activities by the clinical oncology pharmacist. For beta thalassemia patients undergoing hydroxyurea therapy, the genomic profiling was performed to assess whether the hydroxyurea treatment is clinically effective or not (n:396, 23%). CONCLUSION: The involvement of clinical oncology pharmacist into a specialized outpatient clinic of hematology-oncology and transplant clinic plays an integral role in minimizing the adverse effect and reduction in readmission into the hospital. This is new expansion of pharmacist's role especially in underdeveloped country, considering the relevant clinical participation of clinical oncology pharmacist into specialized clinic revealing through optimized therapy and future prospect of clinical oncology pharmacist in pediatric hematology.