Lung adenocarcinoma (LUAD) is a global malignancy with significant chemoresistance impacting patient prognosis. The pro-tumorigenic role of hyaluronan-mediated motility receptor (HMMR) in LUAD is recognized. This study was designed to investigate the underlying mechanisms by which HMMR affects chemoresistance in LUAD. Bioinformatics presented the expression patterns of HMMR in LUAD patients and the association between HMMR levels and patient survival, followed by qRT-PCR to verify HMMR expression in LUAD tissues and cells. Further, bioinformatics was leveraged to identify the signaling pathways enriched by HMMR and its relevance to glycolytic genes, we also analyzed changes in the glycolytic activity of LUAD cells by manipulating HMMR expression. Stemness was evaluated through cell aggregation assays and Western blot, and drug responsiveness was gauged using CCK-8 assays, alongside flow cytometry for apoptosis analysis. HMMR was highly expressed in LUAD tissues and cells, and this overexpression correlated with poorer prognoses in patients. GSEA showed that HMMR was notably enriched in the glycolysis and gluconeogenesis pathways, correlating positively with the expression of key glycolytic genes. Cellular experiments confirmed that HMMR knockdown notably suppressed aerobic glycolysis in LUAD cells. Moreover, overexpression of HMMR could further enhance the stemness and cisplatin resistance of LUAD cells by stimulating glycolysis. In brief, this study has validated that high levels of HMMR in LUAD are predictive of poor patient prognosis, and that overexpression of HMMR can catalyze aerobic glycolysis, thus promoting stemness and chemoresistance in LUAD cells. Thus, HMMR could be a target for improving chemosensitivity in LUAD.

Lung adenocarcinoma (LUAD) is a global malignancy with significant chemoresistance impacting patient prognosis. The pro-tumorigenic role of hyaluronan-mediated motility receptor (HMMR) in LUAD is recognized. This study was designed to investigate the underlying mechanisms by which HMMR affects chemoresistance in LUAD. Bioinformatics presented the expression patterns of HMMR in LUAD patients and the association between HMMR levels and patient survival, followed by qRT-PCR to verify HMMR expression in LUAD tissues and cells. Further, bioinformatics was leveraged to identify the signaling pathways enriched by HMMR and its relevance to glycolytic genes, we also analyzed changes in the glycolytic activity of LUAD cells by manipulating HMMR expression. Stemness was evaluated through cell aggregation assays and Western blot, and drug responsiveness was gauged using CCK-8 assays, alongside flow cytometry for apoptosis analysis. HMMR was highly expressed in LUAD tissues and cells, and this overexpression correlated with poorer prognoses in patients. GSEA showed that HMMR was notably enriched in the glycolysis and gluconeogenesis pathways, correlating positively with the expression of key glycolytic genes. Cellular experiments confirmed that HMMR knockdown notably suppressed aerobic glycolysis in LUAD cells. Moreover, overexpression of HMMR could further enhance the stemness and cisplatin resistance of LUAD cells by stimulating glycolysis. In brief, this study has validated that high levels of HMMR in LUAD are predictive of poor patient prognosis, and that overexpression of HMMR can catalyze aerobic glycolysis, thus promoting stemness and chemoresistance in LUAD cells. Thus, HMMR could be a target for improving chemosensitivity in LUAD.

Lung adenocarcinoma (LUAD) is a global malignancy with significant chemoresistance impacting patient prognosis. The pro-tumorigenic role of hyaluronan-mediated motility receptor (HMMR) in LUAD is recognized. This study was designed to investigate the underlying mechanisms by which HMMR affects chemoresistance in LUAD. Bioinformatics presented the expression patterns of HMMR in LUAD patients and the association between HMMR levels and patient survival, followed by qRT-PCR to verify HMMR expression in LUAD tissues and cells. Further, bioinformatics was leveraged to identify the signaling pathways enriched by HMMR and its relevance to glycolytic genes, we also analyzed changes in the glycolytic activity of LUAD cells by manipulating HMMR expression. Stemness was evaluated through cell aggregation assays and Western blot, and drug responsiveness was gauged using CCK-8 assays, alongside flow cytometry for apoptosis analysis. HMMR was highly expressed in LUAD tissues and cells, and this overexpression correlated with poorer prognoses in patients. GSEA showed that HMMR was notably enriched in the glycolysis and gluconeogenesis pathways, correlating positively with the expression of key glycolytic genes. Cellular experiments confirmed that HMMR knockdown notably suppressed aerobic glycolysis in LUAD cells. Moreover, overexpression of HMMR could further enhance the stemness and cisplatin resistance of LUAD cells by stimulating glycolysis. In brief, this study has validated that high levels of HMMR in LUAD are predictive of poor patient prognosis, and that overexpression of HMMR can catalyze aerobic glycolysis, thus promoting stemness and chemoresistance in LUAD cells. Thus, HMMR could be a target for improving chemosensitivity in LUAD.

Lung adenocarcinoma (LUAD) is a global malignancy with significant chemoresistance impacting patient prognosis. The pro-tumorigenic role of hyaluronan-mediated motility receptor (HMMR) in LUAD is recognized. This study was designed to investigate the underlying mechanisms by which HMMR affects chemoresistance in LUAD. Bioinformatics presented the expression patterns of HMMR in LUAD patients and the association between HMMR levels and patient survival, followed by qRT-PCR to verify HMMR expression in LUAD tissues and cells. Further, bioinformatics was leveraged to identify the signaling pathways enriched by HMMR and its relevance to glycolytic genes, we also analyzed changes in the glycolytic activity of LUAD cells by manipulating HMMR expression. Stemness was evaluated through cell aggregation assays and Western blot, and drug responsiveness was gauged using CCK-8 assays, alongside flow cytometry for apoptosis analysis. HMMR was highly expressed in LUAD tissues and cells, and this overexpression correlated with poorer prognoses in patients. GSEA showed that HMMR was notably enriched in the glycolysis and gluconeogenesis pathways, correlating positively with the expression of key glycolytic genes. Cellular experiments confirmed that HMMR knockdown notably suppressed aerobic glycolysis in LUAD cells. Moreover, overexpression of HMMR could further enhance the stemness and cisplatin resistance of LUAD cells by stimulating glycolysis. In brief, this study has validated that high levels of HMMR in LUAD are predictive of poor patient prognosis, and that overexpression of HMMR can catalyze aerobic glycolysis, thus promoting stemness and chemoresistance in LUAD cells. Thus, HMMR could be a target for improving chemosensitivity in LUAD.

Lung adenocarcinoma (LUAD) is a global malignancy with significant chemoresistance impacting patient prognosis. The pro-tumorigenic role of hyaluronan-mediated motility receptor (HMMR) in LUAD is recognized. This study was designed to investigate the underlying mechanisms by which HMMR affects chemoresistance in LUAD. Bioinformatics presented the expression patterns of HMMR in LUAD patients and the association between HMMR levels and patient survival, followed by qRT-PCR to verify HMMR expression in LUAD tissues and cells. Further, bioinformatics was leveraged to identify the signaling pathways enriched by HMMR and its relevance to glycolytic genes, we also analyzed changes in the glycolytic activity of LUAD cells by manipulating HMMR expression. Stemness was evaluated through cell aggregation assays and Western blot, and drug responsiveness was gauged using CCK-8 assays, alongside flow cytometry for apoptosis analysis. HMMR was highly expressed in LUAD tissues and cells, and this overexpression correlated with poorer prognoses in patients. GSEA showed that HMMR was notably enriched in the glycolysis and gluconeogenesis pathways, correlating positively with the expression of key glycolytic genes. Cellular experiments confirmed that HMMR knockdown notably suppressed aerobic glycolysis in LUAD cells. Moreover, overexpression of HMMR could further enhance the stemness and cisplatin resistance of LUAD cells by stimulating glycolysis. In brief, this study has validated that high levels of HMMR in LUAD are predictive of poor patient prognosis, and that overexpression of HMMR can catalyze aerobic glycolysis, thus promoting stemness and chemoresistance in LUAD cells. Thus, HMMR could be a target for improving chemosensitivity in LUAD.

Objective To find a reasonable frequency range of pure tone source signal and to propose a prelim-inary normal value determination range for sonotubometry for eustachian tube function assessment.Methods A to-tal of 31 healthy adults were enrolled in this study.Step pure tone line spectrum signals with an interval of 100 Hz on the frequency band of 3-6 kHz were used as sound sources for sonotubometry.Results The results showed that 8 frequency points of 3.5 kHz,4.3 kHz,4.35 kHz,4.5 kHz,4.65 kHz,4.8 kHz,5.0 kHz and 5.15 kHz were suitable frequency points for pure tone signal.The line spectrum data at these 8 frequency points were summarized and statistically analyzed,and 95％confidence interval of LVc value was calculated,that was,95％LVc value was greater than 5.5 dB,and 6 dB was set as the LVc threshold after integer.Conclusion In this study,a pure tone line spectrum sound source frequency suitable for sonotubometry was found,and the amplitude change of sound pressure level over 6 dB within about 0.5-1 second before and after swallowing action of the sound source signal can be used as an effective indicator of eustachian tube opening.

Objective To construct and validate a nomogram prediction model for poor prognosis in elderly patients with gastrointestinal bleeding.Methods A total of 176 elderly patients with gastrointestinal bleeding were enrolled as the research objects.According to the prognosis during hospitalization,patients were divided into the poor prognosis group(56 cases)and the good prognosis group(120 cases).The clinical data of the two groups of patients were collected.The best variables of poor prognosis were screened by Lasso regression model,and the selected variables were included in the multivariate Logistic regression model to analyze the influencing factors.Nomogram was constructed based on the above influencing factors.Receiver operating characteristic(ROC)curve,clinical calibration curve and decision curve analysis(DCA)were drawn to validate clinical practicability of nomogram prediction model.Results Multivariate Logistic regression analysis showed that urea nitrogen(BUN,OR=2.766,95％CI:1.066-7.175)and high level of shock index(SI,OR=3.853,95％CI:1.028-14.446)were independent risk factors of poor prognosis in elderly patients with gastrointestinal bleeding(P＜0.05),while high levels of albumin(ALB,OR=0.100,95％CI:0.036-0.277)were protective factors(P＜0.05).ROC curve validated that the area under the curve of the prediction model was 0.845(95％CI:0.786-0.904).Calibration curve showed that the model had a relatively high degree of calibration.DCA showed that the model had a clear positive net benefit.Conclusion The nomogram prediction model constructed based on BUN,SI and ALB levels to predict the poor prognosis of elderly patients with gastrointestinal bleeding has a high predictive value.

Objective To find a reasonable frequency range of pure tone source signal and to propose a prelim-inary normal value determination range for sonotubometry for eustachian tube function assessment.Methods A to-tal of 31 healthy adults were enrolled in this study.Step pure tone line spectrum signals with an interval of 100 Hz on the frequency band of 3-6 kHz were used as sound sources for sonotubometry.Results The results showed that 8 frequency points of 3.5 kHz,4.3 kHz,4.35 kHz,4.5 kHz,4.65 kHz,4.8 kHz,5.0 kHz and 5.15 kHz were suitable frequency points for pure tone signal.The line spectrum data at these 8 frequency points were summarized and statistically analyzed,and 95％confidence interval of LVc value was calculated,that was,95％LVc value was greater than 5.5 dB,and 6 dB was set as the LVc threshold after integer.Conclusion In this study,a pure tone line spectrum sound source frequency suitable for sonotubometry was found,and the amplitude change of sound pressure level over 6 dB within about 0.5-1 second before and after swallowing action of the sound source signal can be used as an effective indicator of eustachian tube opening.

Objective To construct and validate a nomogram prediction model for poor prognosis in elderly patients with gastrointestinal bleeding.Methods A total of 176 elderly patients with gastrointestinal bleeding were enrolled as the research objects.According to the prognosis during hospitalization,patients were divided into the poor prognosis group(56 cases)and the good prognosis group(120 cases).The clinical data of the two groups of patients were collected.The best variables of poor prognosis were screened by Lasso regression model,and the selected variables were included in the multivariate Logistic regression model to analyze the influencing factors.Nomogram was constructed based on the above influencing factors.Receiver operating characteristic(ROC)curve,clinical calibration curve and decision curve analysis(DCA)were drawn to validate clinical practicability of nomogram prediction model.Results Multivariate Logistic regression analysis showed that urea nitrogen(BUN,OR=2.766,95％CI:1.066-7.175)and high level of shock index(SI,OR=3.853,95％CI:1.028-14.446)were independent risk factors of poor prognosis in elderly patients with gastrointestinal bleeding(P＜0.05),while high levels of albumin(ALB,OR=0.100,95％CI:0.036-0.277)were protective factors(P＜0.05).ROC curve validated that the area under the curve of the prediction model was 0.845(95％CI:0.786-0.904).Calibration curve showed that the model had a relatively high degree of calibration.DCA showed that the model had a clear positive net benefit.Conclusion The nomogram prediction model constructed based on BUN,SI and ALB levels to predict the poor prognosis of elderly patients with gastrointestinal bleeding has a high predictive value.

Objective:To evaluate the reliability and validity of the Chinese version of HEMO-FISS-QoL(HF-QoL) questionnaire (HF-QoL-C) in the Chinese population with hemorrhoids.Methods:From November 2021 to November 2022, a self-constructed general information questionnaire, HF-QoL-C, and the 36-item short form health survey (SF-36), Goligher classification, and Giordano severity of hemorrhoid symptom questionnaire (GSQ) were used to conduct a questionnaire survey on 760 hemorrhoid patients in the anorectal department of six hospitals. The data was analyzed for reliability and validity using SPSS 21.0 and AMOS 26.0 software.Results:The Cronbach's α coefficient of HF-QoL-C and its dimension ranged from 0.831 to 0.960, and the split coefficient was 0.832-0.915. Four common factors were extracted through principal component exploratory factor analysis. Confirmatory factor analysis indicated acceptable structural validity( χ2/ df=8.152, RSMEA=0.097, CFI=0.881, IFI=0.881, NFI=0.867). HF-QoL-C was correlated with SF36 and GSQ( r=-0.694, 0.501, both P<0.01). There were differences in the total score and dimensional scores of HF-QoL-C between surgical and drug treated patients, different grades of Goligher classification for hemorrhoidal disease, and different ranges of hemorrhoid prolapse (all P<0.001). No ceiling effect was found in the total score and the scores of each dimension(0.3%-2.0%). There was a floor effect in both psychological function and sexual activity dimensions (16.7%, 35.1%). Conclusion:HF-QoL-C has good reliability and validity, which can be used to measure the quality of life of Chinese hemorrhoid patients.