Insights and Opportunity Costs in Applying Spatial Biology to Study the Tumor Microenvironment.

SUMMARY: The recent development of high-dimensional spatial omics tools has revealed the functional importance of the tumor microenvironment in driving tumor progression. Here, we discuss practical factors to consider when designing a spatial biology cohort and offer perspectives on the future of spatial biology research.

Quantitative performance assessment of Ultivue multiplex panels in formalin-fixed, paraffin-embedded human and murine tumor specimens.

We present a rigorous validation strategy to evaluate the performance of Ultivue multiplex immunofluorescence panels. We have quantified the accuracy and precision of four different multiplex panels (three human and one mouse) in tumor specimens with varying levels of T cell density. Our results show that Ultivue panels are typically accurate wherein the relative difference in cell proportion between a multiplex image and a 1-plex image is less than 20% for a given biomarker. Ultivue panels exhibited relatively high intra-run precision (CV ≤ 25%) and relatively low inter-run precision (CV >> 25%) which can be remedied by using local intensity thresholding to gate biomarker positivity. We also evaluated the reproducibility of cell-cell distance estimates measured from multiplex images which show high intra- and inter-run precision. We introduce a new metric, multiplex labeling efficiency, which can be used to benchmark the overall fidelity of the multiplex data across multiple batch runs. Taken together our results provide a comprehensive characterization of Ultivue panels and offer practical guidelines for analyzing multiplex images.

Immune checkpoint inhibitors: Assessment of the performance and the agreement of iRECIST, irRC, and irRECIST.

INTRODUCTION: Immunotherapy has become more widely accepted and used by medical oncologists. Radiologists face challenges in assessing tumor response and becoming more involved in the management of treatment. We aimed to assess the agreement between immune-related response criteria (irRC), immune-related RECIST (irRECIST), and immune RECIST (iRECIST) to correlate the response measured by them with overall survival (OS), and to determine the confirmation rate of progressive disease (PD). METHODS: A total of 43 patients (28 men, 15 women; average age = 54.6 ± 15.7 years) treated with immunotherapy were included in this study. Pairwise agreements between iRECIST, irRC, and irRECIST were calculated using Cohen's kappa statistics. The correlation of the criteria-based response and OS was evaluated using the Kaplan-Meier method and log-rank test. A confirmation rate with 95% confidence intervals (CI) was calculated in patients with PD. RESULTS: The kappa values between iRECIST and irRC, iRECIST and irRECIST, and irRC and irRECIST were 0.961 (almost perfect; P < 0.001), 0.961 (almost perfect; P < 0.001), and 0.922 (almost perfect; P < 0.001), respectively. The Kaplan-Meier method and log-rank test showed for each criterion a statistically significant correlation with OS (P < 0.05). The confirmation rates of PD for irRC, irRECIST, and iRECIST were 95% (19/20; 95% CI = 76.4-99.1%), 90% (18/20; 95% CI = 69.9-97.2%), and 90.5% (19/21; 95% CI = 71.1-97.4%), respectively. CONCLUSION: There was an almost perfect and statistically significant agreement between iRECIST, irRC, and irRECIST. The measurements performed with them significantly correlated with the OS; their confirmation rates were similar. iRECIST and irRECIST might be favored over irRC because of their relative ease of use.

Clinical application of tumour-in-normal contamination assessment from whole genome sequencing.

The unexpected contamination of normal samples with tumour cells reduces variant detection sensitivity, compromising downstream analyses in canonical tumour-normal analyses. Leveraging whole-genome sequencing data available at Genomics England, we develop a tool for normal sample contamination assessment, which we validate in silico and against minimal residual disease testing. From a systematic review of [Formula: see text] patients with haematological malignancies and sarcomas, we find contamination across a range of cancer clinical indications and DNA sources, with highest prevalence in saliva samples from acute myeloid leukaemia patients, and sorted CD3+ T-cells from myeloproliferative neoplasms. Further exploration reveals 108 hotspot mutations in genes associated with haematological cancers at risk of being subtracted by standard variant calling pipelines. Our work highlights the importance of contamination assessment for accurate somatic variants detection in research and clinical settings, especially with large-scale sequencing projects being utilised to deliver accurate data from which to make clinical decisions for patient care.

Annual Report to the Nation on the Status of Cancer, part 2: Early assessment of the COVID-19 pandemic's impact on cancer diagnosis.

BACKGROUND: With access to cancer care services limited because of coronavirus disease 2019 control measures, cancer diagnosis and treatment have been delayed. The authors explored changes in the counts of US incident cases by cancer type, age, sex, race, and disease stage in 2020. METHODS: Data were extracted from selected US population-based cancer registries for diagnosis years 2015-2020 using first-submission data from the North American Association of Central Cancer Registries. After a quality assessment, the monthly numbers of newly diagnosed cancer cases were extracted for six cancer types: colorectal, female breast, lung, pancreas, prostate, and thyroid. The observed numbers of incident cancer cases in 2020 were compared with the estimated numbers by calculating observed-to-expected (O/E) ratios. The expected numbers of incident cases were extrapolated using Joinpoint trend models. RESULTS: The authors report an O/E ratio <1.0 for major screening-eligible cancer sites, indicating fewer newly diagnosed cases than expected in 2020. The O/E ratios were lowest in April 2020. For every cancer site except pancreas, Asians/Pacific Islanders had the lowest O/E ratio of any race group. O/E ratios were lower for cases diagnosed at localized stages than for cases diagnosed at advanced stages. CONCLUSIONS: The current analysis provides strong evidence for declines in cancer diagnoses, relative to the expected numbers, between March and May of 2020. The declines correlate with reductions in pathology reports and are greater for cases diagnosed at in situ and localized stage, triggering concerns about potential poor cancer outcomes in the coming years, especially in Asians/Pacific Islanders. PLAIN LANGUAGE SUMMARY: To help control the spread of coronavirus disease 2019 (COVID-19), health care organizations suspended nonessential medical procedures, including preventive cancer screening, during early 2020. Many individuals canceled or postponed cancer screening, potentially delaying cancer diagnosis. This study examines the impact of the COVID-19 pandemic on the number of newly diagnosed cancer cases in 2020 using first-submission, population-based cancer registry database. The monthly numbers of newly diagnosed cancer cases in 2020 were compared with the expected numbers based on past trends for six cancer sites. April 2020 had the sharpest decrease in cases compared with previous years, most likely because of the COVID-19 pandemic.

Inferring Markov Chains to Describe Convergent Tumor Evolution With CIMICE.

The field of tumor phylogenetics focuses on studying the differences within cancer cell populations. Many efforts are done within the scientific community to build cancer progression models trying to understand the heterogeneity of such diseases. These models are highly dependent on the kind of data used for their construction, therefore, as the experimental technologies evolve, it is of major importance to exploit their peculiarities. In this work we describe a cancer progression model based on Single Cell DNA Sequencing data. When constructing the model, we focus on tailoring the formalism on the specificity of the data. We operate by defining a minimal set of assumptions needed to reconstruct a flexible DAG structured model, capable of identifying progression beyond the limitation of the infinite site assumption. Our proposal is conservative in the sense that we aim to neither discard nor infer knowledge which is not represented in the data. We provide simulations and analytical results to show the features of our model, test it on real data, show how it can be integrated with other approaches to cope with input noise. Moreover, our framework can be exploited to produce simulated data that follows our theoretical assumptions. Finally, we provide an open source R implementation of our approach, called CIMICE, that is publicly available on BioConductor.

AN IN-DEPTH ASSESSMENT OF THE TUMOR'S IMPACT ON SARCOPENIA.

Loss of muscle mass is a typical symptom of cancer and it is strongly correlated with poor prognosis. Cancer-related Sarcopenia is unresponsive to conventional dietary changes and exercise, in contrast to age-associated muscle atrophy. This particular type of weakness differs from different kinds of muscle loss in that it is triggered by a number of interrelated mechanisms, notably inflammatory processes, abnormal metabolic processes, proteolysis, and autophagy. This research is to examine evidence supporting the theory that tumors have a causal role in causing muscular atrophy. It seeks to investigate the precise regulators that the tumour generates and how they affect the processes that result in muscle waste. The evaluation looks for new directions for further studies and medical treatments. The analysis is based on a thorough examination of the scientific literature and research that shows how tumor and muscle atrophy are related. It concentrates on studies that clarify the numerous strategies by which malignancies cause the loss of muscle. This article highlights particular mechanisms by which these tumor-derived substances affect the development of muscle loss, including inflammatory processes, metabolic disturbance, proteolysis, and autophagy. The discovery of such targets offers hope for the creation of efficient treatment strategies that can enhance the long-term outlook and quality of life of cancer sufferers who are experiencing muscle loss.

Budget-Friendly Generation, Biochemical Analyses, and Lentiviral Transduction of Patient-Derived Colon Organoids.

For the past decade, three-dimensional (3D) culture models have been emerging as powerful tools in translational research to overcome the limitations of two-dimensional cell culture models. Thanks to their ability to recapitulate the phenotypic and molecular heterogeneity found in numerous organs, organoids have been used to model a broad range of tumors, such as colorectal cancer. Several approaches to generate organoids exist, with protocols using either pluripotent stem cells, embryonic stem cells, or organ-restricted adult stem cells found in primary tissues, such as surgical resections as starting material. The latter, so-called patient-derived organoids (PDOs), have shown their robustness in predicting patient drug responses compared to other models. Because of their origin, PDOs are natural offspring of the patient tumor or healthy surrounding tissue, and therefore, have been increasingly used to develop targeted drugs and personalized therapies. Here, we present a new protocol to generate patient-derived colon organoids (PDCOs) from tumor and healthy tissue biopsies. We emphasize budget-friendly and reproducible techniques, which are often limiting factors in this line of research that restrict the development of this 3D-culture model to a small number of laboratories worldwide. Accordingly, we describe efficient and cost-effective techniques to achieve immunoblot and high-resolution microscopy on PDCOs. Finally, a novel strategy of lentiviral transduction of PDCOs, which could be applied to all organoid models, is detailed in this article. © 2023 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Establishment of PDCOs from biopsies Basic Protocol 2: Long-term maintenance and expansion of PDCOs in BME domes Basic Protocol 3: Cryopreservation and thawing of PDCOs Basic Protocol 4: Lentiviral transduction of PDCOs Basic Protocol 5: Immunoblot and evaluation of variability between donors Basic Protocol 6: Immunofluorescence labeling and high-resolution microscopy of PDCOs Basic Protocol 7: Transcriptomic analyses of PDCOs by RT-qPCR.

Spindle Monitor: A Tool for Real-Time Assessment and Concurrent Treatment of Postoperative Tumor Prognosis.

Cancer surgery remains a mainstay in clinical treatment. However, the efficacy of subsequent therapies largely depends on the precise evaluation of postoperative prognoses, underscoring the critical need for a comprehensive and accurate assessment of surgical outcomes. Nanoprobes targeting tumors offer a promising solution for visual prognostic assessment. In this study, we developed a "Spindle Monitor" system, designated as APPADs (Au NBPs@PDA-pep-AS1411-Dox), composed of core-shell nanoparticles. The core was made up of gold nanobipyramids (Au NBPs), coated with polydopamine (PDA), and subsequently loaded with peptide chains, AS1411, and doxorubicin (Dox). Upon deployment in the acidic tumor microenvironment (TME), APPADs released substantial amounts of Dox, initiating the apoptotic process. This triggered the activity of caspase-3, which is a crucial executor in the apoptotic pathway. Consequently, DEVD, a specific recognition site for caspase-3, was cleaved, enabling the disconnection of FITC-conjugated peptide chains and the recovery of fluorescence. Through assessing this fluorescence imaging effect, local laser irradiation could be precisely guided to the postoperative site, facilitating a synergistic combination of photothermal therapy and chemotherapy. Specifically, our "Spindle Monitor" APPADs had been validated to achieve accurate fluorescence imaging in vitro and in vivo, which demonstrated its potential value as a versatile tool for evaluating postoperative prognosis in surgical treatments, such as thyroid cancer, and assessing chemotherapy efficacy in difficult cases, like late-stage osteosarcoma. This promising tool lays a good foundation for development in visual prognosis evaluation after tumor surgery.

Changes in cancer diagnoses and stage distribution during the first year of the COVID-19 pandemic in the USA: a cross-sectional nationwide assessment.

BACKGROUND: The emergence of COVID-19 disrupted health care, with consequences for cancer diagnoses and outcomes, especially for early stage diagnoses, which generally have favourable prognoses. We aimed to examine nationwide changes in adult cancer diagnoses and stage distribution during the first year of the COVID-19 pandemic by cancer type and key sociodemographic factors in the USA. METHODS: In this cross-sectional study, adults (aged ≥18 years) newly diagnosed with a first primary malignant cancer between Jan 1, 2018, and Dec 31, 2020, were identified from the US National Cancer Database. We included individuals across 50 US states and the District of Columbia who were treated in hospitals that were Commission on Cancer-accredited during the study period. Individuals whose cancer stage was 0 (except for bladder cancer), occult, or without an applicable American Joint Committee on Cancer staging scheme were excluded. Our primary outcomes were the change in the number and the change in the stage distribution of new cancer diagnoses between 2019 (Jan 1 to Dec 31) and 2020 (Jan 1 to Dec 31). Monthly counts and stage distributions were calculated for all cancers combined and for major cancer types. We also calculated annual change in stage distribution from 2019 to 2020 and adjusted odds ratios (aORs) using multivariable logistic regression, adjusted for age group, sex, race and ethnicity, health insurance status, comorbidity score, US state, zip code-level social deprivation index, and county-level age-adjusted COVID-19 mortality in 2020. Separate models were stratified by sociodemographic and clinical factors. FINDINGS: We identified 2 404 050 adults who were newly diagnosed with cancer during the study period (830 528 in 2018, 849 290 in 2019, and 724 232 in 2020). Mean age was 63·5 years (SD 13·5) and 1 287 049 (53·5%) individuals were women, 1 117 001 (46·5%) were men, and 1 814 082 (75·5%) were non-Hispanic White. The monthly number of new cancer diagnoses (all stages) decreased substantially after the start of the COVID-19 pandemic in March, 2020, although monthly counts returned to near pre-pandemic levels by the end of 2020. The decrease in diagnoses was largest for stage I disease, leading to lower odds of being diagnosed with stage I disease in 2020 than in 2019 (aOR 0·946 [95% CI 0·939-0·952] for stage I vs stage II-IV); whereas, the odds of being diagnosed with stage IV disease were higher in 2020 than in 2019 (1·074 [1·066-1·083] for stage IV vs stage I-III). This pattern was observed in most cancer types and sociodemographic groups, although was most prominent among Hispanic individuals (0·922 [0·899-0·946] for stage I; 1·110 [1·077-1·144] for stage IV), Asian American and Pacific Islander individuals (0·924 [0·892-0·956] for stage I; 1·096 [1·052-1·142] for stage IV), uninsured individuals (0·917 [0·875-0·961] for stage I; 1·102 [1·055-1·152] for stage IV), Medicare-insured adults younger than 65 years (0·909 [0·882-0·937] for stage I; 1·105 [1·068-1·144] for stage IV), and individuals living in the most socioeconomically deprived areas (0·931 [0·917-0·946] for stage I; 1·106 [1·087-1·125] for stage IV). INTERPRETATION: Substantial cancer underdiagnosis and decreases in the proportion of early stage diagnoses occurred during 2020 in the USA, particularly among medically underserved individuals. Monitoring the long-term effects of the pandemic on morbidity, survival, and mortality is warranted. FUNDING: None.

Assessment of compression-induced solid stress, fluid pressure and mechanopathological parameters in cancersin vivousing poroelastography.

Objective.Compression-induced solid stress (SSc) and fluid pressure (FPc) during ultrasound poroelastography (USPE) experiments are correlated with two markers of cancer growth and treatment effectiveness: growth-induced solid stress (SSg) and interstitial fluid pressure (IFP). The spatio-temporal distributions of SSg and IFP are determined by the transport properties of the vessels and interstitium in the tumor microenvironment.Approach.We propose a new USPE method for the non-invasive imaging of the local cancer mechanical parameters and dynamics of fluid flow. When performing poroelastography experiments, it may be difficult to implement a typical creep compression protocol, which requires to maintain a constant normally applied force. In this paper, we investigate the use of a stress relaxation protocol, which might be a more convenient choice for clinical poroelastography applications.Main results.Based on our finite element and ultrasound simulations study, we demonstrate that the SSc, FPc and their spatio-temporal distribution related parameters, interstitial permeability and vascular permeability, can be determined from stress relaxation experiments with errors below 10% as compared to the ground truth and accuracy similar to that of corresponding creep tests, respectively. We also demonstrate the feasibility of the new methodology forin vivoexperiments using a small animal cancer model.Significance.The proposed non-invasive USPE imaging methods may become an effective tool to assess local tumor pressure and mechanopathological parameters in cancers.

Assessment of endobronchial ultrasound-guided bronchoscopy (EBUS) intranodal forceps biopsy added to EBUS 19-gauge transbronchial needle aspiration: A blinded pathology panel analysis.

BACKGROUND: Endobronchial ultrasound-guided (EBUS) transbronchial needle aspiration (TBNA) has significantly improved the diagnostic workup for intrathoracic lymphadenopathies. More recently, EBUS intranodal forceps biopsy (IFB) has been developed in an attempt to maximize diagnostic yield by providing additional tissue. In this study, we aimed to assess the improvement of diagnostic yield with EBUS-TBNA combined with EBUS-IFB, compared to EBUS-TBNA alone. METHODS: Consecutive patients who had 19-G EBUS-TBNA and EBUS-IFB from August 30, 2018, to September 28, 2021, were included. Four senior pathologists retrospectively analyzed, independently and blindly, first, only the EBUS-TBNA samples (cell block), then, at least 1 month later, both samples from EBUS-TBNA and from EBUS-IFB together. RESULTS: Fifty patients were included in the study and 52 lymph nodes were analyzed. Diagnostic yield was 77% (40/52) for EBUS-TBNA alone and 94% (49/52) when combined with EBUS-IFB (p = 0.023). Malignancy was diagnosed with EBUS-TBNA combined with EBUS-IFB in 25/26 cases (96%), versus 22/26 (85%) with EBUS-TBNA alone (p = 0.35); and 4/5 (80%) versus 2/5 (40%) for lymphoma specifically. Kappa interobserver agreement was 0.92 for EBUS-IFB and 0.87 for EBUS-TBNA alone. Nonmalignant condition was diagnosed with EBUS-TBNA combined with EBUS-IFB in 24/26 cases (92%), versus 18/26 (69%) for EBUS-TBNA alone (p = 0.07). CONCLUSION: The use of EBUS-IFB combined with 19-G EBUS-TBNA improves the mediastinal lymph node diagnostic yield However the benefit appears to be mainly restricted to nonmalignant histology.

Changes in cancer mortality after Medicaid expansion and the role of stage at diagnosis.

BACKGROUND: Medicaid expansion is associated with improved survival following cancer diagnosis. However, little research has assessed how changes in cancer stage may mediate improved cancer mortality or how expansion may have decreased population-level cancer mortality rates. METHODS: Nationwide state-level cancer data from 2001 to 2019 for individuals ages 20-64 years were obtained from the combined Surveillance, Epidemiology, and End Results National Program of Cancer Registries (incidence) and the National Center for Health Statistics (mortality) databases. We estimated changes in distant stage cancer incidence and cancer mortality rates from pre- to post-2014 in expansion vs nonexpansion states using generalized estimating equations with robust standard errors. Mediation analyses were used to assess whether distant stage cancer incidence mediated changes in cancer mortality. RESULTS: There were 17 370 state-level observations. For all cancers combined, there were Medicaid expansion-associated decreases in distant stage cancer incidence (adjusted odds ratio = 0.967, 95% confidence interval = 0.943 to 0.992; P = .01) and cancer mortality (adjusted odds ratio = 0.965, 95% confidence interval = 0.936 to 0.995; P = .022). This translates to 2591 averted distant stage cancer diagnoses and 1616 averted cancer deaths in the Medicaid expansion states. Distant stage cancer incidence mediated 58.4% of expansion-associated changes in cancer mortality overall (P = .008). By cancer site subgroups, there were expansion-associated decreases in breast, cervix, and liver cancer mortality. CONCLUSIONS: Medicaid expansion was associated with decreased distant stage cancer incidence and cancer mortality. Approximately 60% of the expansion-associated changes in cancer mortality overall were mediated by distant stage diagnoses.

Cancer Distribution Among Asian, Native Hawaiian, and Pacific Islander Subgroups - United States, 2015-2019.

Non-Hispanic Asian (Asian) and non-Hispanic Native Hawaiian and Pacific Islander (NHPI) persons represent growing segments of the U.S. population (1). Epidemiologic cancer studies often aggregate Asian and NHPI persons (2,3); however, because Asian and NHPI persons are culturally, geographically, and linguistically diverse (2,4), subgroup analyses might provide insights into the distribution of health outcomes. To examine the frequency and percentage of new cancer cases among 25 Asian and NHPI subgroups, CDC analyzed the most current 2015-2019 U.S. Cancer Statistics data.* The distribution of new cancer cases among Asian and NHPI subgroups differed by sex, age, cancer type, and stage at diagnosis (for screening-detected cancers). The percentage of cases diagnosed among females ranged from 47.1% to 68.2% and among persons aged <40 years, ranged from 3.1% to 20.2%. Among the 25 subgroups, the most common cancer type varied. For example, although breast cancer was the most common in 18 subgroups, lung cancer was the most common cancer among Chamoru, Micronesian race not otherwise specified (NOS), and Vietnamese persons; colorectal cancer was the most common cancer among Cambodian, Hmong, Laotian, and Papua New Guinean persons. The frequency of late-stage cancer diagnoses among all subgroups ranged from 25.7% to 40.3% (breast), 38.1% to 61.1% (cervical), 52.4% to 64.7% (colorectal), and 70.0% to 78.5% (lung). Subgroup data illustrate health disparities among Asian and NHPI persons, which might be reduced through the design and implementation of culturally and linguistically responsive cancer prevention and control programs, including programs that address social determinants of health.

Application of a Self-developed, Low-budget Indocyanine Green Camera in Surgical Imaging - a Single Institution's Experiences.

INTRODUCTION: Indocyanine green is a fluorescent dye, the use of which is becoming more and more widespread in different areas of surgery. Several international studies deal with the dye's usefulness in intraoperative angiography, the localization of tumors, the more precise identification of anatomical structures, the detection of lymph nodes and lymph ducts, etc. The application of the dye is safe, but a suitable equipment park is required for its use, which entails relatively high costs. OBJECTIVES: The aim of our research is to create a detector system on a low budget, to be used safely in everyday practice and to illustrate its operation with practical examples at our own institute. METHODS: By modifying a web camera, using filter lenses and special LEDs, we created a device suitable for exciting and detecting indocyanine green fluorescence. We prove its excellent versatility during the following procedures at our institute: breast tumor surgery, kidney transplantation, bowel resection, parathyroid surgery and liver tumor resection. RESULTS: The finished camera has an LED light source with a peak wavelength of 780 nm, and the incoming light is filtered by a bandpass filter with a center wavelength of 832 nm. A low budget ($112), easy-to-use tool was created, which is suitable for taking advantage of the opportunities provided by indocyanine green.

Application of the International System for Reporting Serous Fluid Cytopathology to pericardial fluid: Root cause analysis of indeterminate diagnoses, cytohistological correlation, and assessment of malignancy risk.

BACKGROUND: This study investigates the utility of the International System for Reporting Serous Fluid Cytopathology (ISRSFC) in the categorization of pericardial fluid and assesses the diagnostic performance and risk of malignancy (ROM) for each of the diagnostic categories. METHODS: All pericardial fluid cases at the Yale School of Medicine between January 1, 2017, and December 31, 2020, were reviewed. The diagnoses were reclassified into five categories according to the ISRSFC: nondiagnostic (ND), negative for malignancy (NFM), atypia of uncertain significance (AUS), suspicious for malignancy (SFM), and malignant (MAL). ROM and performance parameters of each category were calculated. RESULTS: After reclassification, the distribution of 465 pericardial fluid cases in each category was as follows: ND, 19 (4.1%); NFM, 332 (71.4%); AUS, 21 (4.5%); SFM, 11 (2.4%); and MAL, 82 (17.6%). Confirmatory follow-ups were available for 16 ND (66.7%), 299 NFM (90%), 15 AUS (71%), 5 SFM (45.5%), and 30 MAL cases (36.6%). The ROM was 0% for ND, 1.3% for NFM (4 of 332), 20% for AUS (3 of 15), and 100% for both SFM (5 of 5) and MAL (27 of 27). The diagnostic performance was as follows: sensitivity, 87% (27 of 31); specificity, 100% (292 of 292); positive predictive value (PPV), 100% (27 of 27); negative predictive value (NPV), 98.6% (292 of 296); and diagnostic accuracy, 98.8% (319 of 323). CONCLUSIONS: The ISRSFC is a highly useful system for the reporting of pericardial fluid and risk assessment, given that it offers high sensitivity, specificity, PPV, NPV, and diagnostic accuracy. The application of this system may help to better categorize pericardial fluid and facilitate the standardization of cytopathology reporting.

[Intraoperative Margin Assessment during Thoracoscopic Sublobar Resection Using Radiofrequency Identification Microchip].

We developed a novel wireless localization technique with radiofrequency identification( RFID) markers to enable precise localization of deeply located small lung lesions. Electromagnetic navigational bronchoscopy was used to place RFID markers as close to tumors as possible. Without palpating the lung, operators located the marker using a detection probe, following tone changes in accordance with the marker-probe distance. In this section, we present a novel wireless localization technique using an RFID marker for accurate localization of small lung lesions.

Assessment of immunological memory formation in vivo.

The reinstatement of cancer immunosurveillance during cancer therapy is the sole means of achieving long term success with durable disease control and sometimes even cure. Induction of immunogenic cell death (ICD) by pharmacological or physical interventions such as anthracycline-based chemotherapy or ionizing irradiation, respectively, is a potent strategy for triggering immunological memory in immunocompetent mice. Thus, mice that were cured from syngeneic transplanted cancers were able to reject the same tumor cells several weeks after the eradication of the initial tumor, contrasting with the fact that antigenically distinct cells readily formed tumors. Here, we show how to harness sequential injections of antigenically identical or distinct cancer cells in immunocompetent animals to evaluate the generation of immunological memory.