3D Breast Cancer Segmentation in DCE-MRI Using Deep Learning With Weak Annotation.

BACKGROUND: Deep learning models require large-scale training to perform confidently, but obtaining annotated datasets in medical imaging is challenging. Weak annotation has emerged as a way to save time and effort. PURPOSE: To develop a deep learning model for 3D breast cancer segmentation in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) using weak annotation with reliable performance. STUDY TYPE: Retrospective. POPULATION: Seven hundred and thirty-six women with breast cancer from a single institution, divided into the development (N = 544) and test dataset (N = 192). FIELD STRENGTH/SEQUENCE: 3.0-T, 3D fat-saturated gradient-echo axial T1-weighted flash 3D volumetric interpolated brain examination (VIBE) sequences. ASSESSMENT: Two radiologists performed a weak annotation of the ground truth using bounding boxes. Based on this, the ground truth annotation was completed through autonomic and manual correction. The deep learning model using 3D U-Net transformer (UNETR) was trained with this annotated dataset. The segmentation results of the test set were analyzed by quantitative and qualitative methods, and the regions were divided into whole breast and region of interest (ROI) within the bounding box. STATISTICAL TESTS: As a quantitative method, we used the Dice similarity coefficient to evaluate the segmentation result. The volume correlation with the ground truth was evaluated with the Spearman correlation coefficient. Qualitatively, three readers independently evaluated the visual score in four scales. A P-value <0.05 was considered statistically significant. RESULTS: The deep learning model we developed achieved a median Dice similarity score of 0.75 and 0.89 for the whole breast and ROI, respectively. The volume correlation coefficient with respect to the ground truth volume was 0.82 and 0.86 for the whole breast and ROI, respectively. The mean visual score, as evaluated by three readers, was 3.4. DATA CONCLUSION: The proposed deep learning model with weak annotation may show good performance for 3D segmentations of breast cancer using DCE-MRI. LEVEL OF EVIDENCE: 3 TECHNICAL EFFICACY: Stage 2.

A Natural Virucidal and Microbicidal Spray Based on Polyphenol-Iron Sols.

Numerous disinfection methods have been developed to reduce the transmission of infectious diseases that threaten human health. However, it still remains elusively challenging to develop eco-friendly and cost-effective methods that deactivate a wide range of pathogens, from viruses to bacteria and fungi, without doing any harm to humans or the environment. Herein we report a natural spraying protocol, based on a water-dispersible supramolecular sol of nature-derived tannic acid (TA) and Fe3+, which is easy-to-use and low-cost. Our formulation effectively deactivates viruses (influenza A viruses, SARS-CoV-2, and human rhinovirus) as well as suppressing the growth and spread of pathogenic bacteria (Escherichia coli, Salmonella typhimurium, Staphylococcus aureus, and Acinetobacter baumannii) and fungi (Pleurotus ostreatus and Trichophyton rubrum). Its versatile applicability in a real-life setting is also demonstrated against microorganisms present on the surfaces of common household items (e.g., air filter membranes, disposable face masks, kitchen sinks, mobile phones, refrigerators, and toilet seats).

SB8, an approved bevacizumab biosimilar based on totality of evidence: scientific justification of extrapolation.

SB8 is a biosimilar of bevacizumab based on its similarity demonstrated by physicochemical, functional, non-clinical and clinical studies. Supported by the concept of extrapolation, SB8 was authorized and is used in a similar manner across all types of tumors as reference bevacizumab. Furthermore, SB8 offers convenience with prolonged stability compared with reference bevacizumab in diluted form. Although a biosimilar must demonstrate biosimilarity to a reference product with the 'totality of evidence' in a stringent regulatory process for marketing authorization, some concerns remain among healthcare practitioners, particularly about extrapolation. This review summarizes the concepts of the totality of evidence and extrapolation in biosimilar development and the role of bevacizumab biosimilars in the management of metastatic colorectal cancer as an extrapolated indication.

Primary Ovarian Neuroendocrine Carcinoid Tumor Arising in a Mature Cystic Teratoma.

Primary ovarian neuroendocrine carcinoid tumors are extremely rare. However, their clinical course is good, and hence, fertility-sparing surgery is a feasible treatment option in cases of unilateral localized lesions. In this report, we present the case of a 20-year-old nulliparous woman who was diagnosed as having a primary ovarian neuroendocrine carcinoid tumor arising from a mature cystic teratoma. She underwent laparoscopic right ovarian cystectomy, and her postoperative recovery was uneventful. The patient has been under close observation over a 1-year follow-up period and has shown no evidence of tumor recurrence.

Deep learning application of the discrimination of bone marrow aspiration cells in patients with myelodysplastic syndromes.

Myelodysplastic syndromes (MDS) are a group of hematologic neoplasms accompanied by dysplasia of the bone marrow hematopoietic cells with cytopenia. Detecting dysplasia is important in the diagnosis of MDS, but it takes considerable time and effort. Also, since the assessment of dysplasia is subjective and difficult to quantify, a more efficient tool is needed for quality control and standardization of bone marrow aspiration smear interpretation. In this study, we developed and evaluated an algorithm to automatically discriminate hematopoietic cell lineages and detect dysplastic cells in bone marrow aspiration smears using deep learning technology. Bone marrow aspiration images were acquired from 34 patients diagnosed with MDS and from 24 normal bone marrow slides. In total, 8065 cells were classified into eight categories: normal erythrocytes, normal granulocytes, normal megakaryocytes, dysplastic erythrocytes, dysplastic granulocytes, dysplastic megakaryocytes, blasts, and others. The algorithm demonstrated acceptable performance in classifying dysplastic cells, with an AUC of 0.945-0.996 and accuracy of 0.912-0.993. The algorithm developed in this study could be used as an auxiliary tool for diagnosing patients with MDS and is expected to contribute to shortening the time required for MDS bone marrow aspiration diagnosis and standardizing visual reading.

Place-of-death preferences among patients with cancer and family caregivers in inpatient and outpatient palliative care.

OBJECTIVE: Meeting the preferences of patients is considered an important palliative care outcome. Prior studies reported that more than 80% of patients with terminally ill cancer prefer to die at home. The purpose of this study was to determine place-of-death preference among palliative care patients in the outpatient centre and the palliative care unit (PCU) of a comprehensive cancer centre. METHODS: A cross-sectional anonymous questionnaire was administered to patients with advanced cancer and caregivers (PCU and outpatient centre) between August 2012 and September 2014. PCU patients responded when there was no delirium and the primary caregiver responded when the patient was unable to respond. In the case of outpatients, dyads were assessed. The survey was repeated 1 month later. RESULTS: Overall, 65% preferred home death. There was less preference for home death among PCU patients (58%) than among outpatients (72%). Patient and caregiver agreement regarding preferred place of death for home was 86%. After 1 month, outpatients were significantly more likely than PCU patients to have the same preferred place of death as they had 1 month earlier (96% vs 83%; p=0.003). CONCLUSIONS: Although home was the preferred place of death in our group of patients with advanced cancer and their caregivers, a substantial minority preferred hospital death or had no preference. We speculate that PCU patients' higher preference for hospital death is likely related to more severe distress because they had already tried home care. Personalised assessment of place of death preference for both patient and caregiver is needed.

Increased Risk of Type 2 Diabetes in Patients With Thyroid Cancer After Thyroidectomy: A Nationwide Cohort Study.

CONTEXT: Abnormal thyroid function after thyroidectomy and subsequent thyroid-stimulating hormone suppression can have detrimental effects on glucose homeostasis in patients with thyroid cancer. OBJECTIVE: To investigate whether thyroidectomy increases the risk of type 2 diabetes in patients with thyroid cancer and to explore the association between levothyroxine dosage and type 2 diabetes risk. METHODS: A retrospective population-based cohort study using the Korean National Health Insurance database. We included 36 377 thyroid cancer patients without known diabetes who underwent thyroidectomy between 2004 and 2013. Matched subjects with nonthyroid cancer were selected using 1:1 propensity score matching. The main outcome measure was newly developed type 2 diabetes mellitus. RESULTS: Patients with thyroid cancer who underwent thyroidectomy had a higher risk of developing type 2 diabetes mellitus than the matched controls (hazard ratio [HR] 1.43, 95% CI 1.39-1.47). Among patients with thyroid cancer, when the second quartile group (in terms of the mean levothyroxine dosage; 101-127 µg/day) was considered the reference group, the risk of type 2 diabetes mellitus increased in the first quartile (<101 µg/day; HR 1.45, 95% CI 1.36-1.54) and fourth quartile groups (≥150 µg/day; HR 1.37, 95% CI 1.29-1.45); meanwhile, the risk decreased in the third quartile group (128-149 µg/day; HR 0.91, 95% CI 0.85-0.97). CONCLUSION: Patients with thyroid cancer who underwent thyroidectomy were more likely to develop type 2 diabetes mellitus than the matched controls. There was a U-shaped dose-dependent relationship between the levothyroxine dosage and type 2 diabetes mellitus risk.

Huge Ovarian Tumor: An Unusual Presentation of Gastric-Type Endocervical Adenocarcinoma.

Gastric endocervical adenocarcinoma is a rare type of cervical cancer. It was recently classified as a subtype of cervical cancer that exhibits an aggressive behavior with poor prognosis compared to other cancer types. Nevertheless, little is known about the clinical behavior of this cervical cancer subtype to establish a definitive treatment protocol. Herein, we report a case of poorly advanced gastric endocervical adenocarcinoma in a 47-year-old Korean woman who was suspected to have a borderline ovarian tumor and underwent a laparotomy. A gastric-type endocervical adenocarcinoma was diagnosed incidentally on histopathological examination.

Evaluation of Combined Cancer Markers With Lactate Dehydrogenase and Application of Machine Learning Algorithms for Differentiating Benign Disease From Malignant Ovarian Cancer.

BACKGROUND: The differential diagnosis of ovarian cancer is important, and there has been ongoing research to identify biomarkers with higher performance. This study aimed to evaluate the diagnostic utility of combinations of cancer markers classified by machine learning algorithms in patients with early stage ovarian cancer, which has rarely been reported. METHODS: In total, 730 serum samples were assayed for lactate dehydrogenase (LD), neutrophil-to-lymphocyte ratio (NLR), human epididymis protein 4 (HE4), cancer antigen 125 (CA125), and risk of ovarian malignancy algorithm (ROMA). Among them, 53 were diagnosed with early stage ovarian cancer, and the remaining 677 were diagnosed with benign disease. RESULTS: The areas under the receiver operating characteristic curves (ROC-AUCs) of the ROMA, HE4, CA125, LD, and NLR for discriminating ovarian cancer from non-cancerous disease were .707, .680, .643, .657, and .624, respectively. ROC-AUC of the combination of ROMA and LD (.709) was similar to that of single ROMA in the total population. In the postmenopausal group, ROC-AUCs of HE4 and CA125 combined with LD presented the highest value (.718). When machine learning algorithms were applied to ROMA combined with LD, the ROC-AUC of random forest was higher than that of other applied algorithms in the total population (.757), showing acceptable performance. CONCLUSION: Our data suggest that the combinations of ovarian cancer-specific markers with LD classified by random forest may be a useful tool for predicting ovarian cancer, particularly in clinical settings, due to easy accessibility and cost-effectiveness. Application of an optimal combination of cancer markers and algorithms would facilitate appropriate management of ovarian cancer patients.

Currently Used Laboratory Methodologies for Assays Detecting PD-1, PD-L1, PD-L2 and Soluble PD-L1 in Patients with Metastatic Breast Cancer.

Approximately 20% of breast cancer (BC) patients suffer from distant metastasis. The incidence and prevalence rates of metastatic BC have increased annually. Immune checkpoint inhibitors are an emerging area of treatment, especially for metastatic patients with poor outcomes. Several antibody drugs have been developed and approved for companion testing of the programmed death protine-1 (PD-1) axis. We reviewed currently used laboratory methodologies for assays determining PD-1 axis to provide a comprehensive understanding of principles, advantages, and drawbacks involved in their implementation. The most commonly used method is immunohistochemistry (92.9%) for PD-L1 expression using tissue samples (96.4%). The commonly used anti-PD-L1 antibody clone were commercially available 22C3 (30.8%), SP142 (19.2%), SP263 (15.4%), and E1L3N (11.5%). Enzyme-linked immunosorbent assay and electrochemiluminescent immunoassay that target soluble PD-ligand (L)1 were developed and popularized in 2019-2021, in contrast to 2016-2018. Easy accessibility and non-invasiveness due to the use of blood samples, quantitative outputs, and relatively rapid turnaround times make them more preferable. Regarding scoring methods, a combination of tumor and immune cells (45.5% in 2016-2018 to 57.1% in 2019-2021) rather than each cell alone became more popular. Information about antibody clones, platforms, scoring methods, and related companion drugs is recommended for reporting PD-L1 expression.

A Comparison of Caregiver Burden of Patients with Advanced Cancer in Different Palliative Cancer Care Settings.

Background: Informal caregivers may experience a significant burden while caring for cancer patients. Little is known about how caregiver burden varies across different palliative cancer care settings and the factors influencing it. Objectives: We compared the severity of caregiver subjective stress burden (emotional impact) among caregivers of patients seen in the outpatient supportive care center (SCC) with those being cared for in the acute palliative care unit (PCU). Secondary aims were to compare other caregiver burden dimensions, quality of life, and any association of caregiver subjective stress burden to various patient and caregiver factors. Setting and Design: Eligible patients and their informal caregivers in the SCC or PCU at a comprehensive cancer center in the USA were approached and enrolled. The Montgomery-Borgatta Caregiver Burden Scale and the Short-form 36 were used to measure burden and quality of life. Multivariate general linear regression was employed to evaluate the effect of covariates on subjective stress burden. Results: Ninety-eight dyads in the SCC and 74 dyads in the PCU were enrolled. PCU caregivers reported worse subjective stress burden (p = 0.0029) and mental health (p = 0.0299). Multivariate analysis showed correlations between subjective stress burden and caregivers' objective burden (p = 0.0136), subjective demand burden (p ≤ 0.0001), mental health (p = 0.0074), duration of caregiving (p = 0.0680), education (p = 0.0192) and with patients' anxiety (p = 0.0003) and current/recent cancer treatment (p = 0.0579). Conclusion: PCU caregivers demonstrated worse emotional burden and mental health than those in the SCC. More research is needed to tailor interventions for various caregiver burden dimensions. NCI Clinical Trial Registration Number ID: NCI-2019-01197.

Evaluation of Deviation From Planned Cohort Size and Operating Characteristics of Phase 1 Trials.

Importance: The cohort size of phase 1 clinical trials and thus the timing of the interim decisions are typically prespecified in the trial protocol. During trial implementation, however, the cohort size often deviates from the planned one, which shifts the schedule of the interims. Despite its pervasiveness in phase 1 trials, the association of cohort size deviation with the operating characteristics of these trials is not clear. Objective: To explore the association between cohort size deviation and the operating characteristics of phase 1 clinical trials. Design, Setting, and Participants: In this cross-sectional simulation study, a review was conducted of 102 phase 1 dose-escalation trials published between January 2017 and May 2018 in 3 peer-reviewed journals (Journal of Clinical Oncology, Clinical Cancer Research, and Cancer). After exclusion of studies that did not report the cohort size, 45 trials remained for analysis. Based on the analysis results, a simulation study was performed to systematically investigate the association of cohort size deviation with the operating characteristics of the trials. Main Outcomes and Measures: The prevalence of cohort size deviation and the percentage of correct selection of the maximum tolerated dose. Results: Of the 45 reviewed trials, 10 (22.2%) adhered strictly to the planned cohort size. The simulation study showed that when cohort size deviation was random, it had little association with the performance of novel model-based and model-assisted designs (mean reduction in the percentage of correct selection of the maximum tolerated dose was 0.87 percentage point for the continual reassessment method and 0.84 percentage point for the bayesian optimal interval design). When the cohort size deviation was informative and made based on the observed data on toxicity (eg, if dose-limiting toxicity was observed, the size of the next or current cohort was reduced or expanded), the variation of the design performance increased. The range of the change in the percentage of correct selection was -3.7 to 1.3 percentage points for the continual reassessment method and -4.5 to 0 percentage points for the bayesian optimal interval design. Conclusions and Relevance: The findings suggest that when novel phase 1 clinical trial designs are used, some cohort size deviation is acceptable and has little association with the performance of the designs. These deviations may be used by expert investigators to properly interpret the data, ensure safety, and leverage flexibility in the protocol.

Cancer Rehabilitation Providers and Oncology Patient Expectations for Functional Outcomes after Inpatient Rehabilitation.

BACKGROUND: Cancer rehabilitation is a valued resource for patients and oncologists. Cancer rehabilitation providers are seeing increasing numbers of referrals for inpatient rehabilitation as the number of cancer survivors grows. However, cancer rehabilitation providers, oncologists, therapists, patients, and caregivers may not always clearly communicate the goals of care, which can lead to different expectations for inpatient rehabilitation. OBJECTIVE: To determine the difference in expectations of function after an acute inpatient rehabilitation stay between cancer patients and cancer rehabilitation providers and how they align with achieved goals after treatment. DESIGN: Prospective survey study. SETTING: Quaternary academic medical center inpatient rehabilitation unit. PARTICIPANTS: Out of 194 eligible patients, 132 were enrolled and completed admission surveys, and 110 completed the discharge survey. Twelve cancer rehabilitation providers completed the surveys. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Barthel Index. RESULTS: Patients estimated their expected functional status as a median (interquartile range) score of 19 points (18, 20) using the Barthel Index, compared to cancer rehabilitation providers, who estimated a median score of 17 points (15, 19) (P < .001). Actual functional status upon discharge was a median score of 16 points (13, 18) using the Barthel Index, which was three points lower than expected by patients (P < .001). CONCLUSIONS: Oncology patients and cancer rehabilitation providers significantly overestimate functional goals for acute inpatient rehabilitation. This overestimation was clinically significant for oncology patients and statistically but not clinically significant for cancer rehabilitation providers. Increased communication may allow for a more realistic expectation of functional status upon discharge.

Sleep disturbance in patients with cancer: a feasibility study of multimodal therapy.

BACKGROUND: Our aim was to determine feasibility and effect sizes of bright light therapy (BLT), melatonin (MLT), methylphenidate (MP) and eight combinations (BLT+MLT+MP, BLT+MLT, BLT+MP, BLT alone, MLT+MP, MLT alone, MP alone, placebo for BLT, MLT and MP) defined as multimodal therapy (MMT), to improve sleep quality (SQ) (Pittsburgh Sleep Quality Index (PSQI)) from baseline to day 15. We also examined the effects of MMT on insomnia, fatigue, depression, quality of life and actigraphy. METHODS: Patients with advanced cancer with poor SQ (PSQI ≥5) were eligible. Using a double-blind randomised factorial study design, patients were randomised into 1 of the 8 arms for 2 weeks. Feasibility and effect sizes were assessed. RESULTS: 81% (54/67) of randomised patients completed the study. There were no differences in the demographics and SQ between groups. The adherence rates for BLT, MLT and MP were 93%, 100% and 100%, respectively. BLT+MLT+placebo of MP; BLT+placebo of MLT+placebo of MP; BLT+MLT+MP showed an effect size (Cohen's d) for change in PSQI scores of 0.64, 0.57 and 0.63, respectively. PSQI change using linear regression showed BLT (n=29) has effect size of 0.46, p=0.017; MLT (n=26), 0.24, p=0.20; MP (n=26), 0.06, p=0.46. No significant differences were observed in scores for insomnia, fatigue, depression, quality of life and actigraphy. There were no differences in adverse events by groups(p=0.80). CONCLUSIONS: The use of MMT to treat SQ disturbance was feasible. BLT+MLT showed the most promising effect size in improvement in SQ, and additional larger studies are needed. TRIAL REGISTRATION NUMBER: NCT01628029.

Frequency and Characteristics of First-Time Palliative Care Referrals During the Last Day of Life.

CONTEXT: Palliative care referrals (PCRs) improve symptom management, provide psychosocial and spiritual support, clarify goals of care, and facilitate discharge planning. However, very late PCR can result in increased clinician distress and prevent patients and families from benefiting from the full spectrum of interdisciplinary care. OBJECTIVES: To determine the frequency and predictors of PCR within 24 hours of death. METHODS: Consecutive first-time inpatient PCR from September 1, 2013 to August 31, 2017 was identified to determine the frequency and predictors of referrals within 24 hours of death. We compared the clinical characteristics with a random sample of patients discharged alive or died more than 24 hours after first-time PCR as a control, stratified by year of consult in a 1:1 ratio. RESULTS: Of 7322 first-time PCRs, 154 (2%) died within 24 hours of referral. These patients were older (P = 0.003) and had higher scores for depression (P = 0.0009), drowsiness (P = 0.02), and shortness of breath (P = 0.008) compared with a random sample of 153 patients discharged alive or died more than 24 hours after first-time PCR. Patients who received a PCR within 24 hours of death were more likely than the control group to have Eastern Cooperative Oncology Group 4 (95% vs. 25%, P < 0.0001), delirium (89% vs. 17%, P < 0.0001), do-not-resuscitate code status (81% vs. 18%, P < 0.0001), and hematologic malignancies (39% vs. 16%, P < 0.0001). In the multivariate analysis, depression (odds ratio [OR] 1.4; P = 0.005), do-not-resuscitate code status (OR 9.1; P = 0.003), and Eastern Cooperative Oncology Group 4 (OR 9.8; P = 0.003) were independently associated with first-time PCR within 24 hours of death. CONCLUSION: Although only a small proportion of first-time PCR occurred in the last 24 hours of life, the patients had a significant amount of distress, indicating a missed opportunity for timely palliative care intervention. These sentinel events call for specific guidelines to better support patients, families, and clinicians during this difficult time. Further research is needed to understand how to minimize very late PCR.

Edmonton Symptom Assessment Scale Time Duration of Self-Completion Versus Assisted Completion in Patients with Advanced Cancer: A Randomized Comparison.

INTRODUCTION: To compare the time duration of self-completion (SC) of the Edmonton Symptom Assessment Scale (ESAS) by patients with advanced cancer (ACPs) versus assisted completion (AC) with a health care professional. MATERIALS AND METHODS: In this randomized comparison of ACPs seen in initial consultation at the outpatient Supportive Care Center at MD Anderson, ACPs who have never completed the ESAS at MD Anderson were allocated (1:1) to either SC of the ESAS form versus AC by a nurse. Time of completion was measured by the nurse using a stopwatch. Patients completed the Rapid Estimate of Adult Literacy in Medicine (REALM) test prior to administration of the ESAS. In the SC group, the nurse reviewed the responses to verify that the reported ESAS scores were correct. RESULTS: A total of 126 ACPs were enrolled (69 patients to AC and 57 to SC). Seventy-one patients were female, median age was 60 years, and median REALM score was 65. Median (interquartile range) time (in seconds) of SC was significantly less than AC (73 [42.9-89.1] vs. 109 [79.5-136.7], p < .0001). With nurse review time included, median time of SC increased to 117 seconds, which was not significantly different from AC (p = .28). Lower literacy (REALM) score and shortness of breath were significantly associated with increased completion time (p = .007). CONCLUSION: Regular use of ESAS will have minimal impact on clinical time, as it can be completed in about 1 minute and provides a concise yet comprehensive and multidimensional perspective of symptoms that affect quality of life of patients with cancer. IMPLICATIONS FOR PRACTICE: Because the Edmonton Symptom Assessment Scale can be completed in less than 2 minutes, hopefully the routine use of this simple yet comprehensive and multidimensional symptom assessment tool will be used at all medical visits in all patients with cancer so that the timely management of symptoms affecting patients' lives and treatment courses can occur, further enhancing personalized cancer care.

Incidence of malignancy and related mortality after kidney transplantation: a nationwide, population-based cohort study in Korea.

Post-transplant malignancy (PTM) is a leading cause of premature mortality among kidney transplantation recipients. However, population-based cohort studies that cover incidence, mortality, and risk factors for PTM are rarely reported, especially in East Asia. We designed a retrospective cohort study using a national population-based database. A total of 9915 kidney recipients between 2003 and 2016 were included. During this period, 598 cases (6.0%) of de novo PTM occurred. The most common PTM was thyroid cancer (14.2%), followed by colorectal (11.2%), kidney (10.7%), and stomach cancers (8.9%). The standardised incidence ratio for all-site cancer was 3.9. The risks of Kaposi sarcoma (192.9) and kidney cancer (21.1) were more than 10 times those of the general population. Cancer-related deaths were 89 (14.9%) with liver cancer being the highest (14.6%), followed by lung cancer (13.5%), non-Hodgkin lymphoma (NHL) (12.4%), stomach cancer (9.0%), and colorectal cancer (7.9%). The standardised mortality ratio (SMR) was slightly elevated (1.4). A notable increase in SMR was observed for lymphoma (9.3 for Hodgkin lymphoma and 5.5 for NHL). Older age and graft failure were significantly related to PTM. These findings reflecting geographical variation have implications for the development of strategies for fatal cancers to prevent premature deaths from PTM.

Currently Applied Molecular Assays for Identifying ESR1 Mutations in Patients with Advanced Breast Cancer.

Approximately 70% of breast cancers, the leading cause of cancer-related mortality worldwide, are positive for the estrogen receptor (ER). Treatment of patients with luminal subtypes is mainly based on endocrine therapy. However, ER positivity is reduced and ESR1 mutations play an important role in resistance to endocrine therapy, leading to advanced breast cancer. Various methodologies for the detection of ESR1 mutations have been developed, and the most commonly used method is next-generation sequencing (NGS)-based assays (50.0%) followed by droplet digital PCR (ddPCR) (45.5%). Regarding the sample type, tissue (50.0%) was more frequently used than plasma (27.3%). However, plasma (46.2%) became the most used method in 2016-2019, in contrast to 2012-2015 (22.2%). In 2016-2019, ddPCR (61.5%), rather than NGS (30.8%), became a more popular method than it was in 2012-2015. The easy accessibility, non-invasiveness, and demonstrated usefulness with high sensitivity of ddPCR using plasma have changed the trends. When using these assays, there should be a comprehensive understanding of the principles, advantages, vulnerability, and precautions for interpretation. In the future, advanced NGS platforms and modified ddPCR will benefit patients by facilitating treatment decisions efficiently based on information regarding ESR1 mutations.

Role of Antioxidant Natural Products in Management of Infertility: A Review of Their Medicinal Potential.

Infertility, a couple's inability to conceive after one year of unprotected regular intercourse, is an important issue in the world. The use of natural products in the treatment of infertility has been considered as a possible alternative to conventional therapies. The present study aimed to investigate the effects and the mechanisms of various natural products on infertility. We collected articles regarding infertility and natural products using the research databases PubMed and Google Scholar. Several natural products possess antioxidant properties and androgenic activities on productive factors and hormones. Antioxidants are the first defense barrier against free radicals produced by oxidative stress (OS). They remove reactive oxygen stress (ROS), reducing insulin resistance, total cholesterol, fat accumulation, and cancer growth. Moreover, various natural products increase endometrial receptivity and fertility ability showing androgenic activities on productive factors and hormones. For example, Angelica keiskei powder and Astragalus mongholicus extract showed anti-infertility efficacies in males and females, respectively. On the other hand, adverse effects and acute toxicity of natural products were also reported. Tripterygium glycoside decreased fertility ability both in males and females. Results indicate that management of infertility with natural products could be beneficial with further clinical trials to evaluate the safety and effect.

A phase I, randomized, single-dose pharmacokinetic study comparing sb8 (bevacizumab biosimilar) with reference bevacizumab in healthy volunteers.

PURPOSE: To compare pharmacokinetics, safety, tolerability, and immunogenicity between SB8, a bevacizumab biosimilar, and the European Union (EU) and United States (US) reference products (bevacizumab-EU, bevacizumab-US). METHODS: In this randomized, double-blind, parallel-group, and single-dose study, healthy volunteers were randomized to receive a 3 mg/kg dose of SB8, bevacizumab-EU, or bevacizumab-US via intravenous infusion. Primary endpoints were area under the concentration-time curve from time zero to infinity (AUCinf) and to the last quantifiable concentration (AUClast), and maximum observed serum concentration (Cmax). Bioequivalence was achieved if 90% confidence intervals (CIs) for the ratios of the geometric least squares means (LSMeans) of primary endpoints were within the predefined bioequivalence margins of 80.00-125.00%. Safety and immunogenicity were also investigated. RESULTS: The 90% CIs for the geometric LSMean ratios of AUCinf, AUClast and Cmax were all within the prespecified bioequivalence margins. Geometric LSMean ratios for SB8/bevacizumab-EU, SB8/bevacizumab-US and bevacizumab-EU/bevacizumab-US were 88.01%, 88.48% and 100.54% for AUCinf, 88.65%, 89.08% and 100.49% for AUClast and 99.59%, 101.15% and 101.56% for Cmax, respectively. Incidence of treatment-emergent adverse events (TEAEs) across treatment groups was comparable (SB8: 50.0%, bevacizumab-EU: 37.5%, bevacizumab-US: 53.8%). Most TEAEs were mild and considered as not related to the study drug. No deaths or treatment discontinuations due to adverse events occurred. Incidence of anti-drug antibodies was also comparable between all groups and no neutralizing antibodies were detected. CONCLUSION: This study demonstrated pharmacokinetic bioequivalence and similar safety and immunogenicity profiles of SB8 to both reference products, bevacizumab-EU and bevacizumab-US, and of bevacizumab-EU to bevacizumab-US. CLINICALTRIALS. GOV IDENTIFIER: NCT02453672 (submitted date); EudraCT number: 2015-001,026-41.