Background Although the number of lymphoma survivors has increased, the needs and research priorities of survivors and their caregivers rarely are examined and addressed. Determining the needs and priorities for this population requires an assessment of the attitudes and experiences of patients and caregivers. The authors conducted a qualitative study with lymphoma survivors and their caregivers to determine care needs and research priorities. Methods In the first phase, 2 semistructured focus groups were conducted with 15 lymphoma survivors and their caregivers. In phase 2, a total of 19 individual semistructured telephone interviews were conducted with lymphoma survivors and their caregivers. In both phases, participants discussed cancer experiences and research priorities. All interviews were transcribed. MAXQDA software (version 18.0.8) was used for coding and identifying themes. Results The majority of participants felt disconnected from their clinical care team due to a lack of communication. Focus group participants noted a lack of information regarding diagnoses, treatment, research, and survivorship care. Participants coped with fear through strong social support and fostering relationships with their clinical care teams. Some caregivers felt completely ignored by clinicians. Participants expressed interest in research, but had difficulty finding relevant studies. Several interviewees desired holistic and survivorship‐oriented research and more studies regarding quality of life and mental health. Conclusions The results of the current study identified unmet needs in clinical care and patient‐oriented research, including needs for a focus on quality of life after treatment, communication between patients and the scientific community, and emotional well‐being. Health care professionals can use these data to provide care delivery, supportive services, and research that meets the needs of lymphoma survivors and their caregivers.
Introduction While 50-60% of patients with diffuse large B-cell lymphoma (DLBCL) are cured with initial chemoimmunotherapy such as R-CHOP, many patients will relapse and require additional therapy. Historically, autologous stem cell transplant (ASCT) has been utilized in chemo-sensitive patients with relapsed DLBCL although the role of ASCT in patients who require > 1 salvage treatment to achieve remission is less defined due to concerns about the likelihood of long-term remission in that population. We evaluated the outcome of ASCT in patients who required >1 salvage therapy. Methods We included all patients undergoing ASCT for relapsed/refractory DLBCL at our site between 2005-2016 who received > 1 salvage treatment before transplant, with radiation therapy considered a salvage treatment if given after relapse but before ASCT. We collected demographic, clinical, laboratory and pathologic data on all patients. We defined progression-free survival (PFS) as time from ASCT to date of progression or death from any cause and overall survival (OS) as time from ASCT to date of death from any cause. Living patients were censored at the time of their last follow up. Univariate Cox proportional hazards models of PFS and OS were fit and Kaplan-Meier plots were developed to estimate the impact of variables of interest on survival. Results Out of 259 patients undergoing ASCT for DLBCL, 43 received > 1 salvage treatment, the median age was 51 years and 23 patients were male. Twenty patients had stage III/IV disease at diagnosis. The median time to relapse from the time of diagnosis was 9.3 months, and 42% of patients experienced a relapse > 12 months after diagnosis. Twenty-six patients (60%) received radiation as one of their salvage therapies, 25 patients (58%) received R-ICE as their first salvage therapy and 10 (23%) patients received R-ICE as their second salvage treatment. All patients received either 2 (n=39) or 3 (n=4) salvage therapies before ASCT, and the response to the initial salvage therapy received was CR in 4 patients, PR in 14 patients, SD in 1 patient, and PD in 14 patients, with initial response to salvage therapy missing in 10 patients. The median PFS for all patients was 15.9 months and the median OS was 57.2 months (Figure 1a). Receipt of radiation and having disease sensitive to treatment at the time of ASCT were the only factors associated with prolonged PFS and OS. Median PFS has not been achieved in patients who received radiation while patients who did not receive radiation had a median PFS of 4.2 months (HR = 0.36, p = 0.014; Figure 1b). Patients who had a chemo sensitive disease status at transplant had a median PFS of 22.6 months; however, patients with refractory disease at transplant only achieved a median PFS of 3.6 months (HR = 0.30, p=0.008). Remaining factors including conditioning regimen, time to relapse, and number of salvage therapies were not significantly associated with PFS or OS. Conclusions ASCT can result in prolonged PFS/OS in patients requiring > 1 salvage therapy especially in the case of sensitive disease. Radiation as an additional line of therapy is associated with improved PFS/OS, suggesting this can be included to induce remission in patients who fail to achieve CR with initial salvage treatment. While uncommon, patients with chemo-refractory disease can also have durable survival and should not be excluded from transplant. Figure 1a Progression-free survival for all patients with DLBCL receiving > 1 salvage therapy. Figure 1a. Progression-free survival for all patients with DLBCL receiving > 1 salvage therapy. Figure 1b Progression-free survival for all patients with DLBCL receiving > 1 salvage therapy based on receipt of radiation therapy. Figure 1b. Progression-free survival for all patients with DLBCL receiving > 1 salvage therapy based on receipt of radiation therapy. Disclosures Calzada: Seattle Genetics: Research Funding. Flowers:Spectrum, Janssen, Infinity, AbbVie, Acerta, Pharmacyclics, TG Therapeutics: Research Funding; Celgene Corporation: Consultancy, Honoraria; Optum Rx, Seattle Genetics, Genentech/Roche: Consultancy; Gilead: Consultancy, Research Funding; Millennium: Consultancy, Research Funding; Seattle Genetics: Research Funding. Cohen:Bristol-Myers Squibb: Research Funding; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Infinity: Consultancy, Membership on an entity's Board of Directors or advisory committees; Pharmacyclics: Consultancy, Membership on an entity's Board of Directors or advisory committees; Seattle Genetics: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Millennium/Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding.
Introduction Patients (pts) with DLBCL can experience marked difference in overall survival (OS) based on clinical characteristics, race, and biological subtype. Immunohistochemistry (IHC) algorithms can stratify pts into the germinal center B-cell-like (GCB) or activated B-cell-like (ABC) subtype, which is associated with worse OS with current standard of care therapy with rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone (RCHOP; Meyer et al. 2011). However, these algorithms can be challenging to perform in clinical practice. We evaluated the frequency of GCB and non-GCB subtypes in a retrospective cohort of patients and evaluated the feasibility of performing automated pathology informatics computer segmentation algorithms to assess DLBCL subtype. Methods We included all patients diagnosed with DLBCL at Emory University from 1995-2016. We collected demographic, clinical, laboratory and pathologic data on all patients. We evaluated GCB and non-GCB status using the Hans algorithm as performed during routine clinical care, collected IHC slides for H&E, CD10, CD20, CD30, BCL2, BCL6, C-MYC, and MUM1, and assessed the feasibility of performing automated computer segmentation algorithms to assess DLBCL subtype using these materials. Results Out of 364 patients with DLBCL in our database, 151 had available data for DLBCL classification by the Hans algorithm and 103 had available slides for computational algorithms. For the entire dataset the median age was 61 years, 51% were male, 31% had stage III/IV disease. Among patients who had classification data, the median age was 61 years, 53% were male, 45% had stage III/IV disease, and 47% GCB DLBCL and 53% had non-GCB. Among patients with slides available for computational algorithms the median age was 64 years, 53% were male, 48% had stage III/IV disease. Conclusions In this retrospective cohort study, the group of patients with available slides for performing computer segmentation algorithms had similar demographics and disease characteristics to patients in the general population of DLBCL at an academic medical center. This dataset and associated pathology images provides a useful resource to evaluate whether computational algorithms can aid in defining the prognosis for DLBCL patients. Future directions for this work will involve the establishment of an online DLBCL digital archive to develop a more precise, repeatable and objective image-analysis based scoring of DLBCL tissues to improve the prognostic accuracy and classification of DLBCL. Disclosures Flowers: NIH: Research Funding; Genentech: Consultancy, Research Funding; Roche: Consultancy, Research Funding; Gilead: Consultancy, Research Funding; TG Therapeutics: Research Funding; Mayo Clinic: Research Funding; Infinity: Research Funding; Millenium/Takeda: Research Funding; ECOG: Research Funding; AbbVie: Research Funding; Acerta: Research Funding; Pharmacyclics, LLC, an AbbVie Company: Research Funding.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.