TASK DEFINITION: Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.
PROBLEM: High mobility group box 1 (HMGB1) protein has been identified as a novel pro-inflammatory cytokine in coronary artery disease (CAD). We investigated the relationship between serum HMGB1 level and the severity of coronary artery stenosis.', 'Serum HMGB1 concentration in patients was measured by ELISA. All patients underwent coronary angiography and were assigned into groups according to the quartile of HMGB1 level.', 'HMGB1 level in USAP group was higher than that in control and SAP group. HMGB1 level in SAP group was higher than that in control group (p<0.05). Gensini scores in the highest quartile group (group IV), group III and group II were all significantly higher than that in the lowest quartile group (group I). There was significant correlation between angiographic Gensini score and serum level of HMGB1 (r=0.710, p<0.05). However, in subgroup analysis, we found that serum HMGB1 level was only correlated with angiographic Gensini score in SAP patients (r=0.786, p<0.05), but not USAP patients.

SOLUTION: Is increased serum HMGB1 related to the severity of coronary artery stenosis?

PROBLEM: Body weight correlates with risk of breast cancer death.', 'A retrospective cohort study using patient medical records, electronic cancer registry data, and archived tissue specimens.', 'A 395-bed, comprehensive community hospital.', 'One thousand three hundred seventy-six women, aged 24 to 81 years, who were diagnosed with breast cancer between January 1, 1988, and December 31, 1995, and for whom complete medical records and adequate tissue specimens existed.', "Body weight at the time of diagnosis and patient status (ie, alive and free of breast cancer, living with breast cancer, dead of breast cancer, or dead of other cause) at the time of longest follow-up. Additional data collected, including age at diagnosis, menopausal status, tumor size, tumor grade, lymph node status, stage at diagnosis, race, estrogen-receptor (ER) status, and treatment information, were used to create multivariate Cox proportional hazards models to estimate hazard rate (HR) ratios and 95% confidence intervals (CIs) for breast cancer death. We collected ER status from the patients' medical records, when available, and supplemented the information by using immunohistochemical techniques to determine ER status from archived paraffin-embedded tumor blocks.", 'Patients were followed up for a median of 6.8 years after diagnosis. Two hundred forty-six patients died from breast cancer. Among patients with early-stage disease (I and IIA), we observed a dose-response relationship of increasing weight with increasing likelihood of dying of breast cancer. Compared with women in the lowest category of weight (< 133 lb [60 kg] at diagnosis), women in the highest category (> or = 175 lb [79 kg]) experienced a 2.5-fold increased risk of dying from breast cancer (HR ratio, 2.54 [95% CI, 1.08-6.00]; trend P = .02). Women with ER-negative cancer experienced an approximately 2-fold higher risk of dying from breast cancer compared with women with ER-positive cancer, regardless of stage at diagnosis. Women in the upper 50th percentile of weight with early-stage disease and with ER-negative tumors had a nearly 5-fold increased risk of dying (HR ratio, 4.99 [95% CI, 2.17-11.48]; P for interaction = .10) compared with women in the lower 50th percentile of weight and ER-positive tumors. The results were similar for body mass index, a measure of obesity in which weight is adjusted for height.

SOLUTION: Does body weight correlate with mortality in early-stage breast cancer?

PROBLEM: Incidence of renal cell carcinoma (RCC) is higher in Black patients with disease-specific and overall survival being lower compared with White patients even though renal tumors among Black patients are more likely to be localized. These disparities have been attributed to higher rates of obesity and hypertension, lower rates of nephrectomy, and a lack of access to quality health care. With scant genomic evidence to account for these disparities, the present study sought to compare BAP1 expression between Black and White patients with clear cell RCC (ccRCC); a gene that inhibits tumor progression when overexpressed and results in poor clinical outcomes when silenced.', 'The cancer genome atlas dataset was used to identify 58 (9.9%) Black and 529 (90.9%) White patients with ccRCC with an initial pathologic diagnosis from 1998 to 2013. BAP1 expression was compared using a Mann-Whitney U test. The association between BAP1 expression and pathologic stage, American Joint Committee on Cancer (AJCC) stage, and Fuhrman grade was assessed for the overall cohort and stratified by race. The association between BAP1 expression and overall survival was assessed using Cox proportion hazards models adjusting for Fuhrman grade, pathologic stage, and the presence of pathologic metastases for the overall cohort and stratified by race.', 'The level of BAP1 expression was significantly higher in Black vs. White patients with ccRCC (10.5 vs. 10.3; P<.001). For the overall cohort, increasing BAP1 expression was associated with decreasing pathologic stage (β =-0.25, P = .004) and decreasing AJCC stage (β =-0.029, P = .006). For Black patients, increasing BAP1 expression was associated with decreasing AJCC stage (β =-0.79, P = .016), decreasing Fuhrman grade (β =-0.55, P = .011), and a decreased risk of pathologic metastases (odds ratio [OR] = 0.83, P = .038). For White patients, increasing BAP1 expression was associated with decreasing pathologic stage (β =-0.20, P = .026).

SOLUTION:
Is bAP1 overexpressed in black compared with white patients with Mx-M1 clear cell renal cell carcinoma : A report from the cancer genome atlas?