Impact of pectoralis muscle loss on cardiac outcome and survival in Cancer patients who received anthracycline based chemotherapy: retrospective study.

INTRODUCTION: The impact of pectoralis muscle mass index (PMI) on cardiac events is not well studied in cancer patients, especially in those who have received chemotherapy with high potential cardiac toxicity such as anthracyclines. METHODS: Individuals aged ≥18 years with a diagnosis of breast cancer, sarcoma, or lymphoma who received anthracycline-based chemotherapy at the University of Minnesota MHealth Fairview between 2009 and 2014. Eligible patients had to have two CT scans: a baseline CT scan within 6 months prior to chemotherapy and a follow-up CT scan within 2 years after treatment. The PMI was calculated as the right pectoralis muscle area indexed to height squared. Multivariable linear regression was used to analyze factors associated with PMI at follow-up, overall mortality, and major cardiac events (MACE). RESULTS: A total of 474 patients (breast cancer 192; lymphoma 184; sarcoma 98) participated with a median age of 61 years at the time of baseline CT scan; 161 (34%) were male. Almost all patients received anthracyclines except 12% who received trastuzumab only. The median baseline PMI was 5.8 cm2/m2 (4.9, 7.7) which decreased 10.5% after chemotherapy, to 5.2 cm2/m2 (4.4, 6.4). Baseline PMI was not significantly associated with OS, but we detected lower risks of MACE with larger PMI at baseline. Greater baseline PMI was associated with greater follow-up PMI, but also with greater relative PMI loss. Female gender, older age, and history of smoking were also associated with greater PMI losses. CONCLUSION: Greater pre-treatment pectoralis muscle index in patients treated with anthracyclines have a lower risk of MACE. Early identification of sarcopenia using PMI could trigger proactive engagement for intervention and risk-stratified therapies.

Concurrent mycosis fungoides and intravascular large B-cell lymphoma in a single patient.

Mycosis fungoides (MF) is an indolent, uncommon, non-Hodgkin T-cell lymphoma of the skin. It classically presents with patches, plaques, and tumors and may rarely show spread to internal organs or bone marrow. Up to 7.5% of MF patients may be diagnosed with a second malignancy. Intravascular large B-cell lymphoma (IVLBCL) is an exceedingly rare non-Hodgkin B-cell lymphoma characterized by predominant growth of large neoplastic cells in the lumina of blood vessels. This case presents with an unusual confluence of two rare diagnoses, MF and IVLBCL, made more remarkable by the presence of both diagnoses on a single skin biopsy sample.

The CNS relapse in T-cell lymphoma index predicts CNS relapse in patients with T- and NK-cell lymphomas.

ABSTRACT: Little is known about risk factors for central nervous system (CNS) relapse in mature T-cell and natural killer cell neoplasms (MTNKNs). We aimed to describe the clinical epidemiology of CNS relapse in patients with MTNKN and developed the CNS relapse In T-cell lymphoma Index (CITI) to predict patients at the highest risk of CNS relapse. We reviewed data from 135 patients with MTNKN and CNS relapse from 19 North American institutions. After exclusion of leukemic and most cutaneous forms of MTNKNs, patients were pooled with non-CNS relapse control patients from a single institution to create a CNS relapse-enriched training set. Using a complete case analysis (n = 182), including 91 with CNS relapse, we applied a least absolute shrinkage and selection operator Cox regression model to select weighted clinicopathologic variables for the CITI score, which we validated in an external cohort from the Swedish Lymphoma Registry (n = 566). CNS relapse was most frequently observed in patients with peripheral T-cell lymphoma, not otherwise specified (25%). Median time to CNS relapse and median overall survival after CNS relapse were 8.0 and 4.7 months, respectively. We calculated unique CITI risk scores for individual training set patients and stratified them into risk terciles. Validation set patients with low-risk (n = 158) and high-risk (n = 188) CITI scores had a 10-year cumulative risk of CNS relapse of 2.2% and 13.4%, respectively (hazard ratio, 5.24; 95% confidence interval, 1.50-18.26; P = .018). We developed an open-access web-based CITI calculator (https://redcap.link/citicalc) to provide an easy tool for clinical practice. The CITI score is a validated model to predict patients with MTNKN at the highest risk of developing CNS relapse.

EZH2 Overexpression in Multiple Myeloma: Prognostic Value, Correlation With Clinical Characteristics, and Possible Mechanisms.

BACKGROUND: EZH2 is a histone methyltransferase that suppresses genes involved in cell cycle control. Overexpression of EZH2 has been associated with a poor prognosis in various malignancies. Pawlyn et al recently reported poor outcomes in patients with multiple myeloma and overexpression of EZH2. In order to validate these findings, we analyzed EZH2 expression and outcomes among patients from the CoMMpass study. PATIENTS AND METHODS: We extracted clinical, expression, and genomic data from Interim Analysis 13 of the MMRF CoMMpass study, which harbors data from over 1000 patients with multiple myeloma. Correlations were drawn between EZH2 expression and common genetic mutations. We analyzed the association of EZH2 overexpression with progression-free (PFS) and overall survival (OS). RESULTS: The estimated median PFS for patients with EZH2 overexpression was 20.2 months (95% confidence interval [CI], 16.3-25.5 months) compared with 37.2 months (95% CI, 31.5-40.7 months) for patients without (P < .001). The estimated median OS for patients with EZH2 overexpression was 52.3 months (95% CI, 38.5 months to unable to quantitate), whereas the median OS had not been reached for those without (P < .001). EZH2 overexpression was more common in those with 17p and 1q deletions, TP53 missense mutations, and certain KRAS mutations. Coinciding BRAF and EZH2 amplification occurred frequently. CONCLUSION: EZH2 overexpression is associated with worse outcomes among patients with multiple myeloma from the CoMMpass study. Its known association with p53 and other drivers of malignancy support further lab-based and clinical study in multiple myeloma.