Purpose: Enhanced prognostication power is becoming more desirable in clinical oncology. In this study, we explored the prognostic potential of multigene hypermethylation profiling in non–small-cell lung cancer.
The effect of moderately elevated blood glucose levels among non-diabetic subjects on cancer prognosis is not well described. The goal of this study was to examine the association of elevated random blood glucose (RBG) levels in non-diabetic breast cancer patients with overall survival (OS) and time to tumor recurrence (TTR). Forty-nine deaths and 32 recurrences occurred among 148 eligible study subjects during 855.44 person-years of follow-up, with median follow-up of 5.97 years. We observed that patients with elevated RBG levels experienced significantly shorter OS (hazard ratio [HR], 3.01; 95 % confidence interval [CI] (1.70–5.33); P < 0.001) and shorter TTR (HR, 2.08; CI (1.04–4.16); P = 0.04) as compared to patients with non-elevated RBG levels. After controlling for tumor grade, tumor stage, race, and BMI, elevated RBG continued to display high and statistically significant association with shorter OS (HR, 3.50; CI (1.87–6.54); P < 0.001). Adjustment for age, race, and BMI strengthened HR of RBG for TTR. The association of RGB with TTR lost its borderline statistical significance upon controlling for both tumor grade and stage. The data suggest that elevated blood glucose is associated with poor prognosis of breast cancer patients. Given the potential clinical implication, these findings warrant further investigation.
1 June 2007 in Archives of Pathology & Laboratory Medicine
Context. — Even among cases of non–small cell lung cancer (NSCLC) in the most favorable stage (IA), the disease-specific mortality is 25% or greater. One plausible explanation implicates the simplistic standard pathologic procedures used to designate lymph node involvement. A more sensitive assessment of the nodal status may improve staging. Objective. —To determine the prognostic impact of detecting an abnormal molecular event (promoter hypermethylation in a set of relevant genes) in histologically uninvolved lymph nodes in resected NSCLC. Design. —In this retrospective analysis of archived material, we examined DNA extracted from lymph nodes of stage I NSCLC (n = 180). Patients underwent surgery between 1991 and 1995 in a single institution. Methylation-specific polymerase chain reaction was used to detect promoter hypermethylation in a panel of 8 genes. Survival data were extracted from the computerized database at the Tumor Registry. Results. —Evidence of promoter hypermethylation in at least 1 gene was detected in 67% of these N0 nodes. The most commonly hypermethylated gene was E - cadherin (53%). The hypermethylation frequency for the remaining genes were as follows: APC , 5%; p16 , 9%; MGMT , 11%; hMLH1 , 15%; RASSF1A , 4%; DAP kinase , 9%; and ATM , 19%. The presence of promoter hypermethylation in 2 or more genes did not influence the overall, median, or 5-year survival rates. Conclusions. —Identifying promoter hypermethylation (in our panel) in N0 lymph nodes in stage I NSCLC cannot be recommended for clinical decision making. Molecular abnormalities, including those found in cancer by qualitative methylation-specific polymerase chain reaction, are not synonymous with established, histologically detectable metastasis.
1 June 2007 in Archives of Pathology & Laboratory Medicine
Even among cases of non-small cell lung cancer (NSCLC) in the most favorable stage (IA), the disease-specific mortality is 25% or greater. One plausible explanation implicates the simplistic standard pathologic procedures used to designate lymph node involvement. A more sensitive assessment of the nodal status may improve staging. To determine the prognostic impact of detecting an abnormal molecular event (promoter hypermethylation in a set of relevant genes) in histologically uninvolved lymph nodes in resected NSCLC. In this retrospective analysis of archived material, we examined DNA extracted from lymph nodes of stage I NSCLC (n = 180). Patients underwent surgery between 1991 and 1995 in a single institution. Methylation-specific polymerase chain reaction was used to detect promoter hypermethylation in a panel of 8 genes. Survival data were extracted from the computerized database at the Tumor Registry. Evidence of promoter hypermethylation in at least 1 gene was detected in 67% of these N0 nodes. The most commonly hypermethylated gene was E-cadherin (53%). The hypermethylation frequency for the remaining genes were as follows: APC, 5%; p16, 9%; MGMT, 11%; hMLH1, 15%; RASSF1A, 4%; DAP kinase, 9%; and ATM, 19%. The presence of promoter hypermethylation in 2 or more genes did not influence the overall, median, or 5-year survival rates. Identifying promoter hypermethylation (in our panel) in N0 lymph nodes in stage I NSCLC cannot be recommended for clinical decision making. Molecular abnormalities, including those found in cancer by qualitative methylation-specific polymerase chain reaction, are not synonymous with established, histologically detectable metastasis.
Chronic lymphocytic leukemia (CLL) is the most common leukemia affecting the western adult population. While CLL is known to be a risk factor for morbidity and mortality from coronavirus disease 2019 (COVID-19), COVID-19 has not been shown to be a risk factor for the development of CLL. We report a case of a 55-year-old man who presented with COVID-19 pneumonia and developed overt CLL during hospitalization. Four other cases were culled from the literature. We discuss mechanistic possibilities for the unmasking of CLL in susceptible individuals with COVID-19.