The elongation step of RNA polymerase II (RNAPII) transcription is emerging as a critical control point for the expression of various genes and for diverse biological processes. Examples include neuronal fate determination during embryonic development (6, 44), gene expression of human immunodeficiency virus (5,11,13,19,43), replication and transcription of hepatitis delta virus (38), and transcriptional regulation of heat shock genes (1,10,18). In all these cases, the involvement of three transcription elongation factors, namely, DRB (5,6-dichloro-1-␤-D-ribofuranosylbenzimidazole) sensitivity-inducing factor (DSIF), NELF (negative elongation factor), and positive transcription elongation factor b (P-TEFb), has been demonstrated or implicated.Shortly after the initiation of transcription, RNAPII comes under the negative and positive control of DSIF, NELF, and P-TEFb. DSIF and NELF cause transcriptional pausing through physical association with RNAPII. DSIF binds to RNAPII directly and stably (33, 36). However, this appears to have little effect on the catalytic activity of RNAPII (37). A previous study has pointed out that NELF does not bind substantially to DSIF or RNAPII alone but does bind to the complex of DSIF and RNAPII (40). This association is the likely trigger of transcriptional pausing. Conversely, P-TEFb allows RNAPII to enter the productive elongation phase by preventing the action of DSIF and NELF (27, 37). P-TEFb is the protein kinase whose primary target is thought to be the C-terminal domain (CTD) of RNAPII (26). Most, but not all, evidence suggests that P-TEFb-dependent phosphorylation of the CTD facilitates the release of DSIF and NELF from RNA-PII, thereby reversing the inhibition (3, 24, 37). In theory, such regulation at the elongation step allows for rapid change in mRNA levels and for highly sophisticated control over gene expression when combined with regulation at the (pre)initiation step.The structures and functions of DSIF and P-TEFb have been extensively characterized. Human DSIF is a heterodimer composed of p14 (14 kDa) and p160 (160 kDa), whose Saccharomyces cerevisiae counterparts are Spt4 and Spt5 (7,33). In addition to its role in transcriptional pausing, DSIF has a potential to activate RNAPII elongation. The activation mechanism is not well understood: interaction partners of DSIF other than NELF may be involved (13,14,20,23,28). Spt5 has a highly acidic N-terminal region, multiple copies of the KOW motifs, and a repetitive C-terminal region analogous to the RNAPII CTD (9,25,36). RNAPII interacts with Spt5 through a region encompassing the KOW motifs. KOW motifs are also found in the bacterial transcription elongation factor NusG, which binds to prokaryotic RNA polymerase and controls termination and antitermination (15,17,29). In addition, the extreme C terminus of Spt5 is specifically involved in the transcriptional repression pathway (6). Human P-TEFb is a heterodimer composed of Cdk9 (41 kDa) and one of multiple cyclin subunits T1, T2a, T2b, and K (50 to 90 kDa) (26). The k...

Recent studies have suggested that Spt6 participates in the regulation of transcription by RNA polymerase II (RNAPII). However, its underlying mechanism remains largely unknown. One possibility, which is supported by genetic and biochemical studies of Saccharomyces cerevisiae, is that Spt6 affects chromatin structure. Alternatively, Spt6 directly controls transcription by binding to the transcription machinery. In this study, we establish that human Spt6 (hSpt6) is a classic transcription elongation factor that enhances the rate of RNAPII elongation. hSpt6 is capable of stimulating transcription elongation both individually and in concert with DRB sensitivity-inducing factor (DSIF), comprising human Spt5 and human Spt4. We also provide evidence showing that hSpt6 interacts with RNAPII and DSIF in human cells. Thus, in vivo, hSpt6 may regulate multiple steps of mRNA synthesis through its interaction with histones, elongating RNAPII, and possibly other components of the transcription machinery.

Background Although genetic alterations in patients with advanced gastric cancer have been extensively studied, those in patients with intramucosal neoplasia (IMN) are still poorly understood. Methods We evaluated genetic differences in 158 IMNs, including 51 low-grade dysplasias, 58 high-grade dysplasias (HGDs), 30 intramucosal cancers (IMCs), and 19 mixed tumors (composed of IMC and HGD within the same tumor), using PCR-based microsatellite analysis [allelic imbalance (AI) and microsatellite instability (MSI)]. We classified the DNA methylation status as a hypermethylated epigenome, a moderately methylated epigenome, or a hypomethylated epigenome. In addition, p53 overexpression, b-catenin nuclear localization, and mucin expression were also examined. Results From cluster analysis, the IMNs examined were categorized into four subgroups as follows. Tumors in subgroup 1 were characterized by MSI-high status, a hypermethylated epigenome, and loss or reduction of expression of MLH-1. Tumors in subgroup 2 showed a mixed pattern consisting of AI and MSI. In contrast, tumors in subgroup 3, which showed accumulation of multiple AIs, were closely associated with HGD, IMC, or mixed tumor and exhibited nuclear expression of b-catenin. Tumors in subgroup 4, which were generally low-grade dysplasias, exhibited a low frequency of AIs and no MSI. Although the mucin phenotype was not correlated with any subgroup, expression of mucin was associated with some subgroups. Overexpression of p53 was common in all subgroups. Conclusion The approach described herein was useful for studying genetic differences in IMNs. In addition, we suggest that stratification of genetic differences may help to identify genetic molecular profiles in IMNs.

The relevance of the clinicopathological and molecular features of early gastric cancers (EGCs) having the microsatellite instability (MSI)‐high phenotype has not been clearly defined in sporadic gastric carcinogenesis. Here, we examined the clinicopathological and molecular characteristics of EGC according to MSI status in 330 patients with EGC (intestinal‐type adenocarcinoma). Tumors were classified as MSI‐high (45 cases), MSI‐low (9 cases), or microsatellite stable (MSS; 276 cases). The specimens were examined using a combination of polymerase chain reaction (PCR)‐microsatellite assays and PCR‐pyrosequencing to detect chromosomal allelic imbalances in multiple cancer‐related chromosomal loci, MSI, gene mutations (KRAS and BRAF) and methylation status [high methylation epigenome (HME), intermediate methylation epigenome and low methylation epigenome]. In addition, the expression levels of various target proteins were examined using immunohistochemistry. Interestingly, EGC with the MSI phenotype showed distinct papillary features. The expression of gastric mucin was more frequent in EGC with the MSI phenotype, while p53 overexpression was common in EGCs, irrespective of MSI status. The frequency of HME was significantly higher in EGCs with the MSI phenotype than in EGCs with the MSS phenotype. Although there was a low frequency of allelic imbalance in EGCs with the MSI phenotype, some markers of allelic imbalance were more frequently detected in EGCs with the MSI‐high phenotype than in EGCs with the MSS phenotype. KRAS and BRAF mutations were rare in EGCs. Thus, the MSI phenotype in EGC is a major precursor lesion in gastric cancer and is characterized by distinct clinicopathological and molecular features.

There are differing views between Western and Japanese pathologists on the use of histological criteria to classify gastrointestinal tumors. It is therefore a priority to create a new histological classification of the stomach in order to resolve the confusion. Expression patterns were examined of mucin (MUC2, CD10, MUC5AC, pyloric gland-type mucin), p53 protein, and Ki-67 in tumor cells according to the following new classification system for differentiated-type intramucosal neoplastic lesions of the stomach, based on nuclear atypia: borderline neoplasia (adenoma (including dysplasia), indefinite tumor of adenoma or low-grade cancer, and low-grade cancer) and definite carcinoma (intermediate cancer, and high-grade cancer). The resulting grades were: adenoma, 23; indefinite tumor for adenoma or low-grade cancer, 6; low-grade cancer, 28; intermediate cancer, 48; high-grade cancer, 20. While the frequency of intestinal-type borderline neoplasias was higher than that of definite carcinomas, the mixed-type of definite carcinomas occurred with higher frequency than borderline neoplasias. The p53 protein overexpression and the Ki-67-positive rate increased with an increase in the grade assigned according to the new classification. The correlated expression levels of p53 protein, Ki-67, and various mucins, support the conclusion that this classification of intramucosal neoplastic lesions is useful for obtaining a consensus diagnosis of gastric intramucosal neoplasia between pathologists and gastrointestinal clinicians.

BackgroundAbnormalities of cell cycle regulators are common features in human cancers, and several of these factors are associated with the early development of gastric cancers. However, recent studies have shown that gastric cancer tumorigenesis was characterized by mucin expression. Thus, expression patterns of cell cycle-related proteins were investigated in the early phase of differentiated-type gastric cancers to ascertain any mechanistic relationships with mucin phenotypes.MethodsImmunostaining for Cyclins D1, A, E, and p21, p27, p53 and β-catenin was used to examine impairments of the cell cycle in 190 gastric intramucosal differentiated-type cancers. Mucin phenotypes were determined by the expressions of MUC5AC, MUC6, MUC2 and CD10. A Ki-67 positive rate (PR) was also examined.ResultsOverexpressions of p53, cyclin D1 and cyclin A were significantly more frequent in a gastric phenotype than an intestinal phenotype. Cyclin A was overexpressed in a mixed phenotype compared with an intestinal phenotype, while p27 overexpression was more frequent in an intestinal phenotype than in a mixed phenotype. Reduction of p21 was a common feature of the gastric intramucosal differentiated-type cancers examined.ConclusionsOur results suggest that the levels of some cell cycle regulators appear to be associated with mucin phenotypes of early gastric differentiated-type cancers.

Identification of the molecular characteristics of intramucosal (IMCs) and submucosal cancers (SMCs) is essential to our understanding of early gastric carcinogenesis. However, little is known regarding the differences between the 2 lesions. One hundred and forty-eight patients with primary early gastric cancer [IMC, 106; SMC,42] were characterized for expression of cell cycle-related proteins and loss of heterozygosity (LOH). We also examined microsatellite instability (MSI) and methylation status. For LOH and methylation studies, we used a panel of 17 microsatellite markers (3p, 4p, 5q, 9p. 13q, 17p, 18q and 22q) and promoter regions of 9 genes (MLH-1, RUNX3, p16, HPP1, RASSF2A, SFRP1, DKK-1, ZFP64 and SALL4) that are frequently altered or methylated in gastric cancers. Overexpression of p53 and cyclin D1 was observed in SMC. In addition, low expression of p27 was more frequent in SMC than in IMC. Frequencies of 4p, 9p, 13q and 22q were significantly higher in SMC than in IMC. The SALL4 gene was frequently methylated in SMC compared with IMC. However, other gene methylations were common in both IMC and SMC. The frequency of LOH-high status/methylation-low status was significantly higher in SMC than in IMC. However, LOH-low status/methylation-high status in SMC was more frequently found in IMC. Our data confirm that methylation of cancer-related genes plays a major role in the development of IMCs. Importantly, the results also show that gastric submucosal progression is characterized by the accumulation of specific genetic alterations. In addition, changes of cell cycle-related proteins are associated with cancer progression.

BackgroundWe attempted to identify the molecular profiles of gastric intramucosal neoplasia (IMN; low-grade dysplasia, LGD; high-grade dysplasia, HGD; intramucosal cancer, IMC) by assessing somatic copy number alterations (SCNAs) stratified by microsatellite status (microsatellite stable, MSS; microsatellite instable, MSI). Thus, microsatellite status was determined in 84 tumors with MSS status and 16 tumors with MSI status.MethodsOne hundred differentiated type IMNs were examined using SCNAs. In addition, genetic mutations (KRAS, BRAF, PIK3CA, and TP53) and DNA methylation status (low, intermediate and high) were also analyzed. Finally, we attempted to identify molecular profiles using a hierarchical clustering analysis.ResultsThree patterns could be categorized according to SCNAs in IMNs with the MSS phenotype: subgroups 1 and 2 showing a high frequency of SCNAs, and subgroup 3 displaying a low frequency of SCNAs (subgroup 1 > 2 > 3 for SCNA). Subgroup 1 could be distinguished from subgroup 2 by the numbers of total SCNAs (gains and losses) and SCN gains (subgroup 1 > 2). The SCNA pattern of LGD was different from that of HGD and IMC. Moreover, IMNs with the MSI phenotype could be categorized into two subtypes: high frequency of SCNAs and low frequency of SCNAs. Genetic mutations and DNA methylation status did not differ among subgroups in IMNs.ConclusionMolecular profiles stratified by SCNAs based on microsatellite status may be useful for elucidation of the mechanisms of early gastric carcinogenesis.Electronic supplementary materialThe online version of this article (10.1007/s10120-018-0810-5) contains supplementary material, which is available to authorized users.