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.

Q: Thyroid-stimulating hormone (TSH) levels within populations do not follow Gaussian distribution, and normal limits are derived after mathematical normalization. The clinical relevance of these limits is unknown. The objective of this study was to compare upper and lower TSH limits by four data normalization methods with non-normalized data and assess their clinical relevance.', 'Results of blood samples taken by community physicians and stored in a computerized database were analysed after removing samples from patients with evidence of thyroid illness. TSH values were normalized by the Hoffmann and Tukey methods and each method with natural log transformation. Non-normalized data for TSH in the uppermost and lowermost percentile were also calculated. Clinical relevance was determined by alterations in thyroid hormone levels at, below and above the limits for each method.', 'The maximal reduction from non-normalized data for the upper normal limit (UNL) was by the Hoffman method 43% = 3·1 mIU/l). The maximal increase for the lower normal limit (LNL) was also by the Hoffman method (708% = 0·81 mIU/l). There was very limited difference in average FT3 and FT4 between patients with TSH within, below or above the normal range for all methods.

A: Do normal limits for serum thyrotropin vary greatly depending on method?
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Q: Successful treatment of oesophageal cancer is hampered by recurrent drug resistant disease. We have previously demonstrated the importance of apoptosis and autophagy for the recovery of oesophageal cancer cells following drug treatment. When apoptosis (with autophagy) is induced, these cells are chemosensitive and will not recover following chemotherapy treatment. In contrast, when cancer cells exhibit only autophagy and limited Type II cell death, they are chemoresistant and recover following drug withdrawal.', 'MicroRNA (miRNA) expression profiling of an oesophageal cancer cell line panel was used to identify miRNAs that were important in the regulation of apoptosis and autophagy. The effects of miRNA overexpression on cell death mechanisms and recovery were assessed in the chemoresistant (autophagy inducing) KYSE450 oesophageal cancer cells.', 'MiR-193b was the most differentially expressed miRNA between the chemosensitive and chemoresistant cell lines with higher expression in chemosensitive apoptosis inducing cell lines. Colony formation assays showed that overexpression of miR-193b significantly impedes the ability of KYSE450 cells to recover following 5-fluorouracil (5-FU) treatment. The critical mRNA targets of miR-193b are unknown but target prediction and siRNA data analysis suggest that it may mediate some of its effects through stathmin 1 regulation. Apoptosis was not involved in the enhanced cytotoxicity. Overexpression of miR-193b in these cells induced autophagic flux and non-apoptotic cell death.

A: Does miR-193b promote autophagy and non-apoptotic cell death in oesophageal cancer cells?
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Q: While it is well-known that there is 18F-FDG uptake in breast tumors, clinical impact of (18)F-FDG PET in managing breast cancer patients is not well-studied.', 'One hundred and thirty-three consecutive breast cancer patients from May 1996 to June 2000 were studied. All patients were treated and being followed. Reasons of referral included equivocal conventional studies, staging/re-staging, clinical suspicion of recurrence, and elevated serum tumor markers. Clinical status at 6 months postPET is used as the gold standard in lesions of worsening versus stable or improving.', 'PET was 69% sensitive and 80% specific in predicting clinical stage at 6 months. This 69% of the patients who got worse at 6 months was PET positive and 80% of the patients who were stable or improving at 6 months were PET negative. There was a significant association between PET results and clinical outcome, after adjusting for stage of disease (P=0.04), or for the treatment patients received (P<0.01). Negative PET results changed therapy as often as positive ones did. PET influenced treatment decisions in 74% of the patients referred for study.

A:
Does a retrospective analysis of the impact of 18F-FDG PET scan on clinical management of 133 breast cancer patients?
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