In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.

Q: Randomized trials may be designed and interpreted as single experiments or they may be seen in the context of other similar or relevant evidence. The amount and complexity of available randomized evidence vary for different topics. Systematic reviews may be useful in identifying gaps in the existing randomized evidence, pointing to discrepancies between trials, and planning future trials. A new, promising, but also very much debated extension of systematic reviews, mixed treatment comparison (MTC) meta-analysis, has become increasingly popular recently. MTC meta-analysis may have value in interpreting the available randomized evidence from networks of trials and can rank many different treatments, going beyond focusing on simple pairwise-comparisons. Nevertheless, the evaluation of networks also presents special challenges and caveats. In this article, we review the statistical methodology for MTC meta-analysis. We discuss the concept of inconsistency and methods that have been proposed to evaluate it as well as the methodological gaps that remain. We introduce the concepts of network geometry and asymmetry, and propose metrics for the evaluation of the asymmetry. Finally, we discuss the implications of inconsistency, network geometry and asymmetry in informing the planning of future trials.

A: Evaluation of networks of randomized trials.
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Q: OBJECTIVES We investigated the role of cytokines tumor necrosis factor-alpha (TNF-alpha) and interleukin-6 (IL-6) in cachexia development in newly diagnosed nonsmall cell lung cancer (NSCLC) patients.
METHODS : We evaluated 44 (M/F:41/3) NSCLC patients and 12 (M/F:10/2) age matched healthy smokers. NSCLC cases with a weight loss of > or =10% consisted the cachectic group (n:23, M/F:21/2) and the ones with <10% weight loss consisted the noncachectic group (n:21, M/F:19/2).
RESULTS Body mass index (BMI) of cachectics was significantly lower than that of noncachectics (21.0 +/- 2.9 versus 24.5 +/- 3.6, P = 0.02) and controls (21.0 +/- 2.9 versus 25.5 +/- 2.6, P = 0.01). Serum TNF-alpha level did not differ between cachectic and noncachectics (37.3 +/- 39.1 and 51.6 +/- 84.2 pg/mL, respectively). However, it was significantly higher in NSCLC patients compared with controls (44.1 +/- 64.3 and 15.1 +/- 14.3 pg/mL, P = 0.03). Serum IL-6 level was not different between 3 groups (6.4 +/- 4.1, 8.9 +/- 16.3, and 4.1 +/- 3.5 pg/mL, respectively) but it correlated significantly with TNF-alpha (r = 0.4, P = 0.006) and BMI (r = -0.3, P = 0.03). Erythrocyte sedimentation rate (ESR) correlated significantly with TNF-alpha (r = 0.4, P = 0.003) and BMI (r = -0.3, P = 0.03). Among 44 cases, survival of 12 and 17 patients was recorded in cachectics and noncachectics, with no statistical difference (12.2 +/- 3.7 and 11.2 +/- 1.0 months, respectively).
CONCLUSIONS TNF-alpha and IL-6 levels did not differ significantly between cachectics and noncachectics. However, significant correlations between IL-6, BMI, and TNF-alpha suggested that these cytokines acted as cofactors in weight loss. Survival was neither influenced by BMI, nor the cytokine levels in the present study. The significant correlation of ESR with TNF-alpha suggested that ESR could provide valuable clue for considerable weight loss in the follow-up of NSCLC patients.

A: Impact of TNF-alpha and IL-6 levels on development of cachexia in newly diagnosed NSCLC patients.
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Q: BACKGROUND Streptococcus pneumoniae infection starts from colonization of the host respiratory tract where interaction with host respiratory tract epithelial cells occurs. To investigate pneumococcal genes that are involved in the early stage of interaction with host epithelial cells, transcriptional responses of an encapsulated pathogenic pneumococcal strain TIGR4 upon exposure to human lung epithelial cells A549 for 0.5 h and 1 h time periods were investigated by using TIGR (JCVI) microarray technology. Gene expression changes were validated by quantitative real-time PCR (qRT-PCR) analysis.
FINDINGS We observed different transcriptional profiles at two incubation time periods in which most gene expressions were down-regulated at 0.5 h but up-regulated at 1 h. Many genes associated with ribonucleotide biosynthesis were down-regulated at both time points, whereas the genes associated with cell envelope, energy metabolism, transport and protein synthesis were mostly up-regulated at 1 h. Furthermore, these profiles were compared to the transcriptomes of a TIGR4-derived strain in response to human macrophages for the same time periods. We found one set of genes that exhibited similar expression changes upon exposure to both types of host cells, including cell envelope-associated bgaA (SP0648) and nanA (SP1693), and uncharacterized gene clusters such as SP1677-SP1680 and SP1688-SP1690.
CONCLUSION These data indicate that at the early stage of interaction with host epithelial cells, a complex gene regulation and expression change occur in bacteria. Some of them might play an essential role during pathogen-host interactions and for the establishment of infection.

A:
Streptococcus pneumoniae early response genes to human lung epithelial cells
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