Developing national cancer survivorship standards to inform quality of care in the United States using a consensus approach.

Purpose: To develop United States (US) standards for survivorship care that informs (1) essential health system policy and process components and (2) evaluation of the quality of survivorship care.

Methods: The National Cancer Institute and the Department of Veterans Affairs led a review to identify indicators of quality cancer survivorship care in the domains of health system policy, process, and evaluation/assessment. A series of three virtual consensus meetings with survivorship care and research experts and advocates was conducted to rate the importance of the indicators and refine the top indicators.

Viral Dynamics of the SARS-CoV-2 Omicron Variant in Pediatric Patients: A Prospective Cohort Study.

Background: There are limited data on the viral dynamics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in children. Understanding viral load changes over the course of illness and duration of viral shedding may provide insight into transmission dynamics to inform public health and infection-control decisions.

Methods: We conducted a prospective cohort study of children aged 18 years and younger with polymerase chain reaction-confirmed SARS-CoV-2 between 1 February 2022 and 14 March 2022.

Cancer Care at the Beginning of the COVID-19 Pandemic: Effects on Patients and Early Interventions to Mitigate Stresses on Care.

Purpose: A multidisciplinary panel of experts convened to review the early effects of the COVID-19 pandemic on cancer care in the United States as part of a symposium convened by the National Cancer Policy Forum in July 2021.

Methods: Representatives from the cancer care community, patients, infection prevention, and a government agency provided insight into key elements of the response to and impact of the COVID-19 pandemic on cancer care in the United States in 2020.

Results: Multiple stakeholders worked quickly to adapt to provide seamless care to cancer patients with considerable success despite the profound uncertainties that faced us in the early days of the pandemic.

Identifying and describing cancer survivors: Implications for cancer survivorship research and clinical care.

Background: Gathering information directly from cancer survivors has advanced our understanding of the cancer survivorship experience. However, it is unknown whether surveys can distinguish important subgroups of cancer survivors. This study aimed to describe the current landscape of survey questions used to identify and describe cancer survivors in national cross-sectional studies.

The role of cognitive reappraisal and expectations in dealing with social feedback.

Whereas emotion regulation (ER) in response to distressing events is widely studied, the mechanisms underlying adaptive ER while anticipating these events are still unknown. In this study, we investigated how ER strategies and expectation influence (a) individuals' anticipatory and online processing of self-relevant events, and (b) their affective response to them. Sixty-one healthy female participants were exposed to bogus positive and negative social feedback under reappraisal (regulation) and watch (no regulation) instructions.

Testing the neurocognitive framework for regulation expectation: The relationship between actual/ideal self-esteem and proactive/reactive autonomic stress regulation.

Background And Objectives: According to the Neurocognitive Framework for Regulation Expectation (NFRE), actual and ideal self-esteem are related to how individuals anticipate and respond to a stressful event. Based on this framework, we investigated whether in individuals with low ideal self-esteem (moderator), a positive relationship between actual self-esteem and reactive autonomic regulation would be mediated by the amount of anticipatory autonomic regulation.

Methods: Forty-five healthy females prepared a speech (i.

Long-Term Survivorship Care After Cancer Treatment - Summary of a 2017 National Cancer Policy Forum Workshop.

The National Cancer Policy Forum of the National Academies of Sciences, Engineering and Medicine sponsored a workshop on July 24 and 25, 2017 on Long-Term Survivorship after Cancer Treatment. The workshop brought together diverse stakeholders (patients, advocates, academicians, clinicians, research funders, and policymakers) to review progress and ongoing challenges since the Institute of Medicine (IOM)'s seminal report on the subject of adult cancer survivors published in 2006. This commentary profiles the content of the meeting sessions and concludes with recommendations that stem from the workshop discussions.

Autonomic regulation in response to stress: The influence of anticipatory emotion regulation strategies and trait rumination.

According to the neurocognitive framework for regulation expectation, adaptively regulating emotions in anticipation of a stressful event should help individuals deal with the stressor itself. The goal of this study was twofold: first, the authors compared the influence of adaptive versus maladaptive anticipatory emotion regulation (ER) on the autonomic system during anticipation of, confrontation with, and recovery from a stressor; second, they explored whether trait rumination moderated this relationship. The authors collected data from 56 healthy female undergraduates during a public speaking task.

Don't judge me: Psychophysiological evidence of gender differences to social evaluative feedback.

Human beings have a basic need for esteemed social connections, and receiving negative self-evaluative feedback induces emotional distress. The aim of the current study is to measure eye movements (a physiological marker of attention allocation) and pupillary responses (a physiological marker of cognitive and emotional processing) as online and objective indices of participants' reaction to positive/negative social evaluations from the same or opposite sex. Following the paradigm, subjective mood ratings and heart rate variability (HRV) - as an objective index of regulatory effort- were measured.

Defining cancer survivors, their needs, and perspectives on survivorship health care in the USA.

More people are living after a diagnosis of cancer than ever before and now account for around 5% of the US population. The specialty of cancer survivorship has been developing and growing since the mid-1980s, but the term survivor is open to debate by people living with cancer and those caring for them. Regardless of the term used, many ongoing physical, psychological, and social needs affect quality of life for people who are living with cancer and those who have survived the disease.

Lessons From Early Implementation of a Patient-Centered Care Model in Oncology.

Purpose: Oncology practices may serve as the primary health provider for patients with cancer and the so-called neighbor during periods of transition and survivorship. New standards for patient-centered oncology practice articulate expectations for the primary health provider and neighbor roles. We report the implementation experiences of five oncology practices participating in a pilot of these standards.

Cooperative target mRNA destabilization and translation inhibition by miR-58 microRNA family in C. elegans.

In animals, microRNAs frequently form families with related sequences. The functional relevance of miRNA families and the relative contribution of family members to target repression have remained, however, largely unexplored. Here, we used the Caenorhabditis elegans miR-58 miRNA family, composed primarily of the four highly abundant members miR-58.

Ariadne's Thread: A Robust Software Solution Leading to Automated Absolute and Relative Quantification of SRM Data.

Selected reaction monitoring (SRM) MS is a highly selective and sensitive technique to quantify protein abundances in complex biological samples. To enhance the pace of SRM large studies, a validated, robust method to fully automate absolute quantification and to substitute for interactive evaluation would be valuable. To address this demand, we present Ariadne, a Matlab software.

mzDB: a file format using multiple indexing strategies for the efficient analysis of large LC-MS/MS and SWATH-MS data sets.

The analysis and management of MS data, especially those generated by data independent MS acquisition, exemplified by SWATH-MS, pose significant challenges for proteomics bioinformatics. The large size and vast amount of information inherent to these data sets need to be properly structured to enable an efficient and straightforward extraction of the signals used to identify specific target peptides. Standard XML based formats are not well suited to large MS data files, for example, those generated by SWATH-MS, and compromise high-throughput data processing and storing.

3DSpectra: A 3-dimensional quantification algorithm for LC-MS labeled profile data.

Unlabelled: Mass spectrometry-based proteomics can generate highly informative datasets, as profile three-dimensional (3D) LC-MS data: LC-MS separates peptides in two dimensions (time, m/z) minimizing their overlap, and profile acquisition enhances quantification. To exploit both data features, we developed 3DSpectra, a 3D approach embedding a statistical method for peptide border recognition. 3DSpectra efficiently accesses profile data by means of mzRTree, and makes use of a priori metadata, provided by search engines, to quantify the identified peptides.

qcML: an exchange format for quality control metrics from mass spectrometry experiments.

Quality control is increasingly recognized as a crucial aspect of mass spectrometry based proteomics. Several recent papers discuss relevant parameters for quality control and present applications to extract these from the instrumental raw data. What has been missing, however, is a standard data exchange format for reporting these performance metrics.

Adaptive clinical trial designs for simultaneous testing of matched diagnostics and therapeutics.

A critical challenge in the development of new molecularly targeted anticancer drugs is the identification of predictive biomarkers and the concurrent development of diagnostics for these biomarkers. Developing matched diagnostics and therapeutics will require new clinical trial designs and methods of data analysis. The use of adaptive design in phase III trials may offer new opportunities for matched diagnosis and treatment because the size of the trial can allow for subpopulation analysis.

An optimized data structure for high-throughput 3D proteomics data: mzRTree.

As an emerging field, MS-based proteomics still requires software tools for efficiently storing and accessing experimental data. In this work, we focus on the management of LC-MS data, which are typically made available in standard XML-based portable formats. The structures that are currently employed to manage these data can be highly inefficient, especially when dealing with high-throughput profile data.