With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

OBJECTIVE: LASS2/TMSG1 gene is a novel tumor metastasis suppressor gene cloned from human prostate cancer cell line PC-3M in 1999 by Department of Pathology,Peking University of Basic Medical Sciences. It was found out that protein encoded by LASS2/TMSG1 could interact with the c subunit of vacuolar-ATPase (ATP6V0C). In this study, we explored the effect of LASS2/TMSG1 and its mutants on proliferation, migration and invasion of human prostate cancer cells and its molecular mechanism. METHODS: We constructed four LASS2/TMSG1 mutants and stably transfected the variants to human prostate cancer cell line PC-3M-1E8 cell with high metastatic potential. The stable transfectants were identified by qPCR and Western blot through analyzing the expression of LASS2/TMSG1 and ATP6V0C, the cell biology functions of LASS2/TMSG1 and its four mutants were studied using growth curve,MTT assay, soft agar colony formation assay, wound migration assay, Matrigel invasion study and flow cytometry. Furthermore, immunofluorescence was used to analysis the interaction of LASS2/ TMSG1 mutants and ATP6V0C. RESULTS: LASS2/TMSG1 mRNA and protein in LASS2/TMSG1 group and Mut1-Mut4 groups were higher than that in Vector group; Western blot showed that ATP6V0C protein in LASS2/TMSG1 wild group was lower than that in Vector group, but ATP6V0C protein in LASS2/TMSG1 S248A group was obviously higher than that in Vector group. MTT test and growth curve assay showed growth ability in LASS2/TMSG1 S248A group was increasing compared with other groups from day 5. Soft Agar colony formation experiment showed anchor independent growth ability in LASS2/TMSG1 S248A group was higher than those in the other groups (P<0.05), Cell migrations (from 35.3%±3.2% to 70.3%±3%) in LASS2/TMSG1 S248A group was increasing compared with LASS2/TMSG1 wild group (P<0.01), and more cells passed through Matrigel in LASS2/TMSG1 S248A group compared with LASS2/TMSG1 wild group (from 50±3.2 to 203±6.5, P<0.01), the apoptosis rate in LASS2/TMSG1 S248A group was obviously higher than that in LASS2/TMSG1 wild group (from 7% to 15.1%, P<0.05), and the G0/G1 ratio in LASS2/TMSG1 S248A group was obviously higher than that in LASS2/TMSG1 wild group (from 51.0% to 85.4%). Furthermore, double immunofluorescent staining observed the colocalization between ATP6V0C and LASS2/TMSG1 protein and its mutations, the expression of ATP6V0C in LASS2/TMSG1 S248A group increased significantly compared with the other groups. CONCLUSION LASS2/TMSG1 S248A promotes proliferation, migration and invasion of prostate cancer cells through increasing ATP6V0C expression, suggesting that aa248-250 is an important function site for LASS2/TMSG1 in invasion suppression of prostate cancer cells.
Beijing ; Cell Line, Tumor ; Cell Movement ; Cell Proliferation ; Humans ; Male ; Membrane Proteins/genetics* ; Mutation ; Neoplasm Invasiveness ; Prostatic Neoplasms/genetics* ; Sphingosine N-Acyltransferase/genetics* ; Transfection ; Tumor Suppressor Proteins/genetics* ; Vacuolar Proton-Translocating ATPases

BACKGROUNDHuman epidermal growth factor 2 (HER2) is one of the most important prediction factors, but only 25% - 30% of breast cancer patients HER2 are positive. It is unknown whether there are other molecular markers that could be used to predict prognosis and recurrence in HER2 negative patients. This study investigated correlations of cyclin A2 and HER2 levels with clinical outcomes in 281 patients with invasive breast cancer in order to identify whether cyclin A2 can serve as a prognostic factor in HER2 negative patients.

METHODSImmunohistochemical staining was used to detect cyclin A2 and HER2 expression in 281 patients. Cyclin A2 and HER2 gene amplifications were analyzed using gene analysis and RT-PCR in 12 patients. Risk and survival estimates were analyzed using Log-rank, Kaplan-Meier, and Cox regression analysis; cyclin A2 and HER2 consistency with survival were analyzed using Kappa analysis.

RESULTSPatients with higher cyclin A2 and HER2 expressions had significantly shorter disease-free survival periods (P = 0.047 and P = 0.05, respectively). Kappa analysis performed that cyclin A2 and HER2 showed a low Kappa index (kappa = 0.37), allowing us to conclude that cyclin A2 and HER2 detect different pathologies. Gene analysis and RT-PCR showed that cyclin A2 was upregulated in patients with early relapse; the average increase was 3.69 - 2.74 fold.

CONCLUSIONSCyclin A2 and HER2 are associated with proliferation and high recurrence, particularly when combined. Cyclin A2 is easily detected by nuclear staining and might be a useful biomarker for recurrence risk in HER2 negative patients.

Adult ; Aged ; Aged, 80 and over ; Breast Neoplasms ; genetics ; metabolism ; Cyclin A2 ; genetics ; metabolism ; Female ; Humans ; Immunohistochemistry ; Middle Aged ; Multivariate Analysis ; Receptor, ErbB-2 ; genetics ; metabolism ; Reverse Transcriptase Polymerase Chain Reaction

OBJECTIVETo compare the efficacy and safety of PEG-IFNalpha-2b (Peg-Intron) with IFNalpha-2b (Intron A) in treating HBeAg positive chronic hepatitis B patients.

METHODSTwo hundred thirty chronic hepatitis B (CHB) patients eligible to the following criteria were enrolled into this study: HBsAg and HBeAg(Abbott kit) positive for at least 6 months, serum HBV DNA > or =10(5) copies/ml (real time PCR, LLQ <10(3) copies/ml) and ALT > or =2 x ULN. After 1:1 randomization, the patients received PegIntron (group A: 1.0 microg/kg body weight, SC, once a week) or Intron A (group B: 3 MIU SC, three times a week) for 24 weeks, and followed up for 24 weeks.

RESULTS(1) In groups A and B, respectively, 80.87% and 83.48% were males; their median ages were 31.0 and 32.0 years old; their median body weights were 65.6 and 65.5 kg; mean serum HBV DNA loads were 8.06 log10 and 7.99 log10; their mean ALT values were 4.17 x ULN and 3.77 x ULN. All of the above parameters between the two groups had no statistically significance differences. (2) At the end of treatment and after follow-up, compared to the Intron A group, the PegIntron group showed better response (including complete and partial response rate, HBV DNA undetectable rate, HBeAg seroconversion rate), but the differences of all of them had no statistical significance. The rate of HBeAg loss was higher in patients receiving PegIntron after follow-up (P = 0.0424). (Table 2) (3) PegIntron and Intron A reduced serum HBV DAN persistently during the therapy. Mean reduction at the end of the treatment was much higher in the PegIntron group than in the Intron group (2.22 log10 copies/ml vs 1.66 log10 copies/ml, P = 0.0283). (4) The overall incidence of adverse events (AEs) in the PegIntron group was similar to that of the Intron A group (94.78% vs 95.65%). The AEs associated with PegIntron administration were similar in nature to those with Interon A, such as influenza-like symptoms, fever, fatigue, headache, nausea, etc and the differences of their incidences had no statistical significance.

CONCLUSIONSThe efficacy and safety of PEG-IFNalpha-2b treatment for CHB patients seems to be better than that of IFNalpha-2b; however, further studies are needed to confirm it.

Adolescent ; Adult ; Aged ; Antiviral Agents ; adverse effects ; therapeutic use ; Female ; Hepatitis B e Antigens ; blood ; Hepatitis B, Chronic ; drug therapy ; immunology ; Humans ; Interferon-alpha ; adverse effects ; therapeutic use ; Male ; Middle Aged ; Polyethylene Glycols ; Recombinant Proteins