Distance to Treatment With Radical Cystectomy in a Rural State: Long Car Rides, Equivalent Outcomes.

INTRODUCTION: Radical cystectomy is a complex surgery with better outcomes reported when performed at high-volume centers. This may lead to patients traveling farther for care. We examined the impact of travel distance on clinical outcomes. METHODS: A total of 220 patients undergoing radical cystectomy from 2015-2021 were retrospectively reviewed. Distance traveled to the treatment center by patient zip codes was classified as <12.5 miles, 12.5-49.9 miles, and ≥50 miles. Multivariable logistic regression was used to assess complications, readmissions, 90-day mortality, and length of stay by distance traveled. Time to treatment based on distance traveled was compared. RESULTS: A total of 220 patients underwent radical cystectomy with complete 90-day follow-up. Of the patients 38.6% (85/220) were readmitted; 62.5% (53/85) presented to the treatment center or were transferred. All patients readmitted to an outside hospital traveled ≥12.5 miles (P < .001). Patients with high-grade complications were likely to be transferred to the treatment center with only 23.7% (9/38) definitively managed by outside hospital. Patients traveling >12.5 miles with low-grade complications were more likely to be managed at an outside hospital (57.5%, P = .01). There was no difference in time to initiation of neoadjuvant chemotherapy (P = .99) or time to radical cystectomy following neoadjuvant chemotherapy (P = .23) by distance traveled. For 49 muscle-invasive bladder cancer patients proceeding directly to surgery without neoadjuvant chemotherapy, time from diagnosis to radical cystectomy was increased if traveling >12.5 miles (P = .04). CONCLUSIONS: Increased travel distance did not impact early postoperative outcomes. Distance traveled may impact access to care, such as time to surgery or location of readmission to the treatment center postoperatively.

Characteristics associated with inflammatory breast cancer (IBC): An epidemiologic study from a dedicated IBC program.

There are scant data identifying epidemiologic characteristics among individuals diagnosed with inflammatory breast cancer (IBC), which is considered the most aggressive subtype of breast cancer. The purpose of this study was to evaluate the epidemiologic features among patients seen at a dedicated IBC program, to elucidate the potential causes of this disease and guide prevention strategies. We reviewed retrospective data from 447 patients enrolled in an IRB-approved IBC registry through Dana-Farber Cancer Institute from 1997 to 2016. The data examined included the following: demographics, medical, reproductive and family history, duration of symptoms prior to the diagnosis of IBC, pathologic characteristics, and clinical outcome. JMP statistical software was used to compile the data. Descriptive statistics were used to evaluate the data. The majority of patients (66.0%) were overweight or obese (body mass index [BMI] ≥25) at the time of diagnosis. Fifty patients (11.1%) had "secondary" IBC, defined as developing IBC after a previous history of non-IBC breast cancer in an ipsilateral breast. Of those patients with secondary IBC, 60% were also overweight or obese at the time of IBC diagnosis. Approximately 58% of IBC patients had a family history of breast or ovarian cancer, including first- and second-degree relatives. This analysis suggested a high frequency of familial breast/ovarian cancer among IBC patients which supports further evaluating genetic risks. This may have implications for screening and prevention strategies as well as insight into additional contributing risk factors. The prevalence of a high BMI among both pre- and postmenopausal women with IBC, including those diagnosed with secondary IBC, warrants focusing on strategies targeting the obesity crisis as a potential means of reducing the risk of developing this disease.

Lenalidomide Enhances Immune Checkpoint Blockade-Induced Immune Response in Multiple Myeloma.

PURPOSE: PD-1/PD-L1 signaling promotes tumor growth while inhibiting effector cell-mediated antitumor immune responses. Here, we assessed the impact of single and dual blockade of PD-1/PD-L1, alone or in combination with lenalidomide, on accessory and immune cell function as well as multiple myeloma cell growth in the bone marrow (BM) milieu. EXPERIMENTAL DESIGN: Surface expression of PD-1 on immune effector cells, and PD-L1 expression on CD138(+) multiple myeloma cells and myeloid-derived suppressor cells (MDSC) were determined in BM from newly diagnosed (ND) multiple myeloma and relapsed/refractory (RR) multiple myeloma versus healthy donor (HD). We defined the impact of single and dual blockade of PD-1/PD-L1, alone and with lenalidomide, on autologous anti-multiple myeloma immune response and tumor cell growth. RESULTS: Both ND and RR patient multiple myeloma cells have increased PD-L1 mRNA and surface expression compared with HD. There is also a significant increase in PD-1 expression on effector cells in multiple myeloma. Importantly, PD-1/PD-L1 blockade abrogates BM stromal cell (BMSC)-induced multiple myeloma growth, and combined blockade of PD-1/PD-L1 with lenalidomide further inhibits BMSC-induced tumor growth. These effects are associated with induction of intracellular expression of IFNγ and granzyme B in effector cells. Importantly, PD-L1 expression in multiple myeloma is higher on MDSC than on antigen-presenting cells, and PD-1/PD-L1 blockade inhibits MDSC-mediated multiple myeloma growth. Finally, lenalidomide with PD-1/PD-L1 blockade inhibits MDSC-mediated immune suppression. CONCLUSIONS: Our data therefore demonstrate that checkpoint signaling plays an important role in providing the tumor-promoting, immune-suppressive microenvironment in multiple myeloma, and that PD-1/PD-L1 blockade induces anti-multiple myeloma immune response that can be enhanced by lenalidomide, providing the framework for clinical evaluation of combination therapy.