Despite the use of digital technology in healthcare, telemedicine has not been readily adopted. During the COVID-19 pandemic, healthcare systems have begun crisis management planning. To appropriately allocate resources and prevent virus exposure while maintaining effective patient care, our orthopaedic surgery department rapidly introduced a robust telemedicine program during a 5-day period. Implementation requires attention to patient triage, technological resources, credentialing, education of providers and patients, scheduling, and regulatory considerations. This article provides practical instruction based on our experience for physicians who wish to implement telemedicine during the COVID-19 pandemic. Between telemedicine encounters and necessary in-person visits, providers may be able to achieve 50% of their typical clinic volume within 2 weeks. When handling the massive disruption to the routine patient care workflow, it is critical to understand the key factors associated with an accelerated introduction of telemedicine for the safe and effective continuation of orthopaedic care during this pandemic. Level of Evidence: V

Purpose: Clinical trials with immune checkpoint inhibition in sarcomas have demonstrated minimal response. Here, we interrogated the tumor microenvironment (TME) of two contrasting soft-tissue sarcomas (STS), rhabdomyosarcomas and undifferentiated pleomorphic sarcomas (UPS), with differing genetic underpinnings and responses to immune checkpoint inhibition to understand the mechanisms that lead to response. Experimental Design: Utilizing fresh and formalin-fixed, paraffin-embedded tissue from patients diagnosed with UPS and rhabdomyosarcomas, we dissected the TME by using IHC, flow cytometry, and comparative transcriptomic studies. Results: Our results demonstrated both STS subtypes to be dominated by tumor-associated macrophages and infiltrated with immune cells that localized near the tumor vasculature. Both subtypes had similar T-cell densities, however, their in situ distribution diverged. UPS specimens demonstrated diffuse intratumoral infiltration of T cells, while rhabdomyosarcomas samples revealed intratumoral T cells that clustered with B cells near perivascular beds, forming tertiary lymphoid structures (TLS). T cells in UPS specimens were comprised of abundant CD8+ T cells exhibiting high PD-1 expression, which might represent the tumor reactive repertoire. In rhabdomyosarcomas, T cells were limited to TLS, but expressed immune checkpoints and immunomodulatory molecules which, if appropriately targeted, could help unleash T cells into the rest of the tumor tissue. Conclusions: Our work in STS revealed an immunosuppressive TME dominated by myeloid cells, which may be overcome with activation of T cells that traffic into the tumor. In rhabdomyosarcomas, targeting T cells found within TLS may be key to achieve antitumor response.

BACKGROUND: Even though virtually all patients with Ewing sarcoma achieve a radiographic complete response, up to 30% of patients who present with localized disease and up to 90% of those who present with metastases experience a metastatic disease recurrence, highlighting the inability to identify patients with residual disease at the end of therapy. Up to 95% of Ewing sarcomas carry a driving EWS‐ETS translocation that has an intronic breakpoint that is specific to each tumor, and the authors developed a system to quantitatively detect the specific breakpoint DNA fragment in patient plasma.METHODS: The authors used a long‐range multiplex polymerase chain reaction (PCR) technique to identify tumor‐specific EWS‐ETS breakpoints in Ewing sarcoma cell lines, patient‐derived xenografts, and patient tumors, and this sequence was used to design tumor‐specific primer sets to detect plasma tumor DNA (ptDNA) by droplet digital PCR in xenograft‐bearing mice and patients.RESULTS: Tumor‐specific breakpoint DNA fragments were detected in the plasma of xenograft‐bearing mice, and the signal correlated with tumor burden during primary tumor growth, after surgical resection, and at the time of metastatic disease recurrence. Furthermore, the authors were able to detect the specific breakpoint in plasma DNA obtained from 3 patients with Ewing sarcoma and in 2 patients the authors were able to detect ptDNA when there was radiographically undetectable disease present.CONCLUSIONS: The use of droplet digital PCR to detect tumor‐specific EWS‐ETS fusion gene breakpoint ptDNA fragments can be developed into a highly personalized biomarker of disease recurrence that can be optimized in animal studies for ultimate use in patients. Cancer 2016;122:3015‐3023. © 2016 American Cancer Society.

Size-based detection of sarcoma circulating tumor cells and cell clusters Size-based detection of sarcoma circulating tumor cells and cell clusters

Background: Reported rates of the incidence of lymph node metastasis in soft tissue sarcoma vary considerably. Many are based on single-institution series and small patient populations. Certain sarcoma subtypes, including synovial sarcoma, have been associated with a higher risk of lymph node involvement. Most single centers have insufficient numbers of patients to assess lymph node metastasis accurately, but larger national databases may allow a more accurate estimation. Questions/purposes: We queried a large national database and asked the following questions: (1) What proportion of patients with soft tissue sarcoma have lymph node metastasis and distant metastasis? (2) What histologic subtypes are associated with increased risk of nodal metastasis? (3) What is the impact of lymph node metastases and histologic subtype on survival? (4) Does lymph node excision improve survival of patients with soft tissue sarcoma? Methods: The National Cancer Institute’s Surveillance, Epidemiology, and End Results (SEER) Program is a national database that covers a geographic cross-section representing approximately 28% of the US population across demographic groups. Using the SEER database, we identified 15,525 adults diagnosed with histologically confirmed soft tissue sarcoma from 2004 to 2013. Proportions of patients with lymph node or distant metastases were calculated using descriptive statistics. Overall survival was computed using the Kaplan-Meier method. Multivariate analysis was performed using Cox proportional hazard regression to calculate the association of lymph node metastasis with overall survival while controlling for patient age, sex, race, tumor size, and tumor location. Results: A total of 820 of 15,525 patients had lymph node metastasis at the time of diagnosis, yielding an overall proportion of 5.3% (95% confidence interval [CI], 4.9%–5.6%). Histologic subtypes that most frequently developed nodal metastasis were rhabdomyosarcoma, clear cell sarcoma, epithelioid sarcoma, and myxoid/round cell liposarcoma. Despite frequent reports regarding its association with lymph node metastasis, the proportion of patients with lymph node metastasis among 885 patients with synovial sarcoma (4.2%) was not different from the proportion with nodal metastasis in the overall soft tissue sarcoma population. For all soft tissue sarcomas, distant metastatic disease was present at diagnosis in 1869 (12%) patients (95% CI, 11.5%–12.6%). After controlling for relevant covariates, lymph node metastasis was associated with poorer overall survival (hazard ratio [HR], 1.34; 95% CI, 1.22–1.48; p < 0.001) as was distant metastasis (HR, 2.87; 95% CI, 2.66–3.09; p < 0.001). When comparing the subgroup of patients with positive lymph nodes, lymphadenectomy in conjunction with local excision/limb salvage was associated with the highest overall 5-year survival (HR, 0.46; 95% CI, 0.31–0.67; p < 0.001). Conclusions: In clarifying the overall proportion of patients with soft tissue sarcoma with nodal metastases, the current study indicates that lymph node metastases occur at a higher proportion than previous studies have suggested and that synovial sarcoma is not associated with a higher risk of lymphatic spread compared with soft tissue sarcoma overall. Patients with lymph node metastases are associated with poorer survival than those without metastases. Further investigation is needed to clarify the apparent improved overall survival after lymphadenectomy in the setting of nodal metastasis from soft tissue sarcoma. Level of Evidence: Level II, prognostic study.

Several patient demographic factors, including marital status, have been demonstrated to have prognostic significance for survival in extremity soft tissue sarcoma (ESTS). A study population of 12,546 adult patients diagnosed with ESTS from 1991 to 2010 was identified from the SEER database, a large population-based registry, in order to determine whether overall survival had changed over this recent 20-year period. The study population was divided into three groups by year of diagnosis: 1991–1996, 1997–2003, and 2004–2010. We used the Kaplan-Meier method and Cox proportional hazards regression to assess survival differences between different demographic groups and prognostic clinical characteristics. Over the course of time, the 5-year overall survival rates have increased from 28% in the earliest time period to 62% in the latest(P<0.0001). On multivariate analysis, the mortality rate progressively declined from the 1991–1996 group (HR: 3.02, CI: 2.78–3.29) to the 1997–2003 group (HR: 2.21, CI: 2.06–2.37), with the 2004–2010 group having the best overall survival, despite increases in the proportion of patients with tumors greater than 5 cm in size(P<0.0001), and those presenting with metastasis(P<0.0001).