Publications by authors named "S R Manne"

Although checkpoint blockade temporarily improves exhausted CD8 T (T) cell function, the underlying T epigenetic landscape remains largely unchanged, preventing durable T "reinvigoration" in cancer and chronic infections. The transcription factor TOX initiates T epigenetic programming, yet it remains unclear whether TOX continually preserves T biology after T establishment. Here, we demonstrated that induced TOX ablation in committed T cells resulted in apoptotic-driven loss of T cells, reduced expression of inhibitory receptors, and decreased terminal differentiation.

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Purpose: To explore lymphoma survivors' care experiences and needs post-treatment and to determine optimal information and services for a lymphoma survivorship program from the perspectives of both survivors and oncologists.

Methods: We conducted in-depth semi-structured interviews with 32 lymphoma survivors and 13 lymphoma oncology providers. Interviews were analyzed using a template organizing style and iterative immersion/crystallization analysis of retrieved coded segments.

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Objective: Although childhood cancer survivors require lifelong "risk-based" follow-up care, most adult survivors do not receive such care, and many are lost during the transition from pediatric to adult follow-up care. The goal of this study was to evaluate the feasibility and acceptability of the "Managing Your Health" self-management and peer mentoring intervention to improve transition readiness and self-management skills among young adult survivors of childhood cancer.

Methods: Survivors of childhood cancer ages 18-25 years were randomized 1:1 to the Managing Your Health intervention (six video/phone calls with a peer mentor, another young adult survivor, and five online educational modules) or usual care.

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Osteoclast cell image analysis plays a key role in osteoporosis research, but it typically involves extensive manual image processing and hand annotations by a trained expert. In the last few years, a handful of machine learning approaches for osteoclast image analysis have been developed, but none have addressed the full instance segmentation task required to produce the same output as that of the human expert led process. Furthermore, none of the prior, fully automated algorithms have publicly available code, pretrained models, or annotated datasets, inhibiting reproduction and extension of their work.

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Purpose: To examine how household income and county income inequality are linked to financial hardship among cancer survivors.

Methods: Cancer survivors (n = 864) identified through the New Jersey State Cancer Registry were surveyed from August 2018 to January 2022. Local area income inequality was reflected by the Gini index a measure of income inequality at the county level.

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