Tertiary lymphoid structures in gynecological cancers: prognostic role, methods for evaluating, antitumor immunity, and induction for therapy.

Tertiary lymphoid structures (TLSs), referred to as tertiary lymphoid organs and lymphoid tissue neogenesis, are aggregates of immune cells that occur in nonlymphoid tissues. In recent years, it has been found that TLSs within the tumor microenvironment have been associated with local adaptive immune immunity against cancer and favorable prognosis in several human solid tumors, including gynecological cancers. The issue of the prognosis of gynecological cancers, including endometrial, cervical, and ovarian cancer, is an enormous challenge that many clinical doctors and researchers are now facing. Concerning the predictive prognostic role of TLSs, effective evaluation, and quantification of TLSs in human tissues may be used to assist gynecologists in assessing the clinical outcome of gynecological cancer patients. This review summarizes the current knowledge of TLSs in gynecological cancers, mainly focusing on the potential mechanism of TLS neogenesis, methods for evaluating TLSs, their prognostic value, and their role in antitumor immune immunity. This review also discusses the new therapeutic methods currently being explored in gynecological cancers to induce the formation of TLSs.

[Familial Y chromosome microdeletion with pericentric inversion of chromosome 19].

OBJECTIVE: To investigate the familial cytomolecular genetics of an infertile male. METHODS: We analyzed the clinical phenotypes and karyotypes of three males from the family of an infertile man, detected the sequence-tagged sites (STS) in the AZF deletions of the Y chromosome by multiplex polymerase chain reaction (PCR), and identified the target genes by multiplex ligation-dependent probe amplification (MLPA). RESULTS: The karyotypes of the proband and his brother were 46, XY, inv (19) (p13.3q13.1) and that of his father was 46, XY. The three males were all carriers of AZFc deletion of the Y chromosome, and all found with the same reduction of the gene copy number in the AZFb and AZFc regions. CONCLUSIONS: Combined use of karyotype analysis, Y chromosome STS PCR, and MLPA revealed the genetic causes of the male infertile family.

Associations of rs823128, rs1572931, and rs823156 polymorphisms with reduced Parkinson's disease risks.

The PARK16 locus is considered to play a protective role in Parkinson's disease (PD). However, the epidemiological evidence on the relationships between PARK16 single-nucleotide polymorphisms (rs823128, rs1572931, and rs823156) and PD is inconsistent. Therefore, we carried out a meta-analysis to validate the relationships and performed a bioinformatic analysis to explore putative regulation mechanisms of the single-nucleotide polymorphisms in PD. Through meta-analysis, we confirmed that minor variants of rs823128A>G, rs1572931C>T, and rs823156A>G played protective roles in PD. Through bioinformatic analysis, we predicted that rs823128, rs1572931, and rs823156 as noncoding variants of NUCKS1, RAB29, and SLC41A1, respectively, might affect PD risk by altering the transcription factor-binding capability of the genes. These findings suggest new clues for PD research and potential targets for PD prevention and treatment.

A new bioinformatic insight into the associated proteins in psychiatric disorders.

BACKGROUND: Psychiatric diseases severely affect the quality of patients' lives and bring huge economic pressure to their families. Also, the great phenotypic variability among these patients makes it difficult to investigate the pathogenesis. Nowadays, bioinformatics is hopeful to be used as an effective tool for the diagnosis of psychiatric disorders, which can identify sensitive biomarkers and explore associated signaling pathways. METHODS: In this study, we performed an integrated bioinformatic analysis on 1945 mental-associated proteins including 91 secreted proteins and 593 membrane proteins, which were screened from the Universal Protein Resource (Uniport) database. Then the function and pathway enrichment analyses, ontological classification, and constructed PPI network were executed. RESULTS: Our present study revealed that the majority of mental proteins were closely related to metabolic processes and cellular processes. We also identified some significant molecular biomarkers in the progression of mental disorders, such as HRAS, ALS2, SLC6A1, SLC39A12, SIL1, IDUA, NEPH2 and XPO1. Furthermore, it was found that hub proteins, such as COMT, POMC, NPS and BDNF, might be the potential targets for mental disorders therapy. Finally, we demonstrated that psychiatric disorders may share the same signaling pathways with cancers, involving ESR1, BCL2 and MAPK3. CONCLUSION: Our data are expected to contribute to explaining the possible mechanisms of psychiatric diseases and providing a useful reference for the diagnosis and therapy of them.