Cancer medicine
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Systemic light chain (AL) amyloidosis is a clonal plasma-cell neoplasm that carries a poor prognosis. Although AL amyloidosis and Multiple Myeloma (MM) can co-exist and share various cytogenetic chromosomal abnormalities, little is known about Fluorescent in situ hybridization (FISH) and its prognostic relevance in AL amyloidosis. ⋯ FISH abnormalities were detected in 76% of patients. Patients with abnormal FISH trended toward lower overall survival (OS) (p=0.06) and progression free survival (PFS) (p=0.06). The two most prevalent aberrations were translocation t(11;14) (39%) and hyperdiploidy-overall (38%). Hyperdiploidy-overall was associated with worsening PFS (p=0.018) and OS (p=0.03), confirmed in multivariable analysis. Patients with del 13q most frequently had cardiac involvement (p=0.006) and was associated with increased bone marrow plasmacytosis (p=0.02). Cardiac AL patients with no FISH abnormalities had much improved OS (p=0.012) and PFS (p=0.018) CONCLUSIONS: Our findings ultimately reveal the association of hyperdiploidy on survival in AL amyloidosis patients, including the high-risk cardiac AL population.
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The low rate of durable response against relapsed and/or refractory multiple myeloma (RRMM) in recent studies indicates that chimeric antigen receptor T-cell (CART) treatment is yet to be optimized. This study aims to investigate the safety and efficacy of sequential infusion of CD19-CART and B-cell maturation antigen (BCMA)-CARTs for RRMM with a similar 3 + 3 dose escalation combined with a toxicity sentinel design. We enrolled 10 patients, among whom 7 received autologous infusion and 3 received allogeneic infusion. ⋯ Three out of four patients with stringent complete responses to autologous CART had progression-free survival for over 2 years. The three patients with allogeneic CART experienced disease progression within 2 months. These results evidence the sequential infusion's preliminarily tolerability and efficacy in RRMM, and present a simple and safe design applicable for the establishment of multiple CART therapy.
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The impact of the COVID-19 pandemic on European gynaecological cancer patients under active treatment or follow-up has not been documented. We sought to capture the patient perceptions of the COVID-19 implications and the worldwide imposed treatment modifications. ⋯ Gynaecological cancer patients expressed significant anxiety about progression of their disease due to modifications of care related to the COVID-19 pandemic and wished to pursue their treatment as planned despite the associated risks. Healthcare professionals should take this into consideration when making decisions that impact patients care in times of crisis and to develop initiatives to improve patients' communication and education.
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Observational Study
COVID-19 in cancer patients on active systemic therapy - Outcomes from LMIC scenario with an emphasis on need for active treatment.
There is limited data on outcomes in cancer patients with coronavirus disease 2019 (COVID-19) from lower middle-income countries (LMICs). ⋯ The mortality rates in cancer patients with COVID-19 who are receiving systemic anti-cancer therapy in LMICSs are marginally higher than that reported in unselected COVID-19 cohorts with prolonged time to viral negativity in a substantial number of patients. The pediatric cancer patients tended to have favorable outcomes.
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The current TNM staging system uses the same category definitions for both rectal cancer patients with and without neoadjuvant chemoradiotherapy (NCRT). However, ypTNM stage, especially ypN stage does not predict patient survival after NCRT well. Whether tumor regression in lymph nodes (LRG) may improve the prediction has not been well studied. ⋯ A significant difference in survival was observed among patients with NCRT after incorporating TRG and LRG simultaneously into the current ypTNM staging system (p < 0.001). LRG was an important prognostic factor in rectal cancer patients treated with NCRT and could refine the ypTNM staging system. The modified ypTNM staging system in combination with LRGmax, LNR, and TRG could improve the DFS prediction in each subset of patients.