Cancer stands as a significant global public health challenge, and cancer screening serves as a pivotal strategy for reducing its mortality. Presently, only a limited number of cancer types have appropriate screening methods available. Traditional single-cancer screening approaches are fraught with limitations, including invasiveness, low accuracy, and poor patient compliance. Multi-cancer early detection (MCED) leveraging liquid biopsy technology enables non-invasive and efficient early detection of multiple cancers by analyzing biomarkers such as cell-free DNA, cell-free RNA, proteins, and metabolites in blood and other bodily fluids. This innovative approach substantially broadens the spectrum of detectable cancers and enhances population coverage, showcasing immense potential for improving existing cancer screening strategies. This expert consensus comprehensively reviews the progress of liquid biopsy-based MCED, biomarker selection and detection technologies, the criteria for cancer type selection, research design and clinical utility evaluation, as well as implementation pathways. The overarching goal of this consensus is to offer scientific guidance for further research and the widespread adoption of MCED, thereby facilitating the continuous optimization of cancer screening strategies.

Cancer stands as a significant global public health challenge,and cancer screening serves as a pivotal strategy for reducing its mortality.Presently,only a limited number of cancer types have appropriate screening methods available.Traditional single-cancer screen-ing approaches are fraught with limitations,including invasiveness,low accuracy,and poor patient compliance.Multi-cancer early detection(MCED)leveraging liquid biopsy technology enables non-invasive and efficient early detection of multiple cancers by analyzing biomarkers such as cell-free DNA,cell-free RNA,proteins,and metabolites in blood and other bodily fluids.This innovative approach substantially broadens the spectrum of detectable cancers and enhances population coverage,showcasing immense potential for improving existing can-cer screening strategies.This expert consensus comprehensively reviews the progress of liquid biopsy-based MCED,biomarker selection and detection technologies,the criteria for cancer type selection,research design and clinical utility evaluation,as well as implementation path-ways.The overarching goal of this consensus is to offer scientific guidance for further research and the widespread adoption of MCED,thereby facilitating the continuous optimization of cancer screening strategies.

Objective:To explore the potential profile categories of self-disgust in young and middle-aged breast cancer patients, and analyze the influencing factors of different categories.Methods:A convenience sampling method was used, and 270 young and middle-aged breast cancer patients admitted to the thyroid and breast cancer ward and oncology ward of Fenyang Hospital in Shanxi Province from September 2023 to April 2024 were the study subjects. The survey was conducted transect surveys using the general information questionnaire, Questionnaire for the Assessment of Self-Disgust, Social Constraints Scale, the Chronic Illness Rejection and Discrimination Scale. Potential categories of self-disgust in young and middle-aged breast cancer patients were explored using latent profile analysis, and unordered multinomial Logistic regression was employed to investigate their influencing factors.Results:A total of 234 young and middle-aged female breast cancer patients were included, with the age of (45.61±10.90) years old. Latent profile analysis revealed three potential categories of self-hatred in these patients: low disgust group (45.30%, 106/234), medium disgust group (41.45%, 97/234), and generalized high disgust group (13.25%, 31/234). Compared to the low disgust group, patients with more comorbidities and poorer self-care ability were more likely to belong to the generalized high disgust group ( OR=0.244, 8.775, both P<0.05). Patients with a longer duration of illness and higher scores on the social constraints scale and chronic illness rejection and discrimination scale were more likely to fall into the medium disgust group and the generalized high disgust group ( OR values were 0.156 - 1.317, all P<0.05). Conclusions:The level of self-disgust in young and middle-aged breast cancer patients is significantly heterogeneous. Nursing staff should formulate personalized intervention strategies according to this classification characteristic, which can be cut from the perspective of reducing patients' social restriction and chronic illness rejection and discrimination to improve patients' acceptance of the disease and self-acceptance level, and then reduce their self-disgust.

Objective:To explore the potential profile categories of self-disgust in young and middle-aged breast cancer patients, and analyze the influencing factors of different categories.Methods:A convenience sampling method was used, and 270 young and middle-aged breast cancer patients admitted to the thyroid and breast cancer ward and oncology ward of Fenyang Hospital in Shanxi Province from September 2023 to April 2024 were the study subjects. The survey was conducted transect surveys using the general information questionnaire, Questionnaire for the Assessment of Self-Disgust, Social Constraints Scale, the Chronic Illness Rejection and Discrimination Scale. Potential categories of self-disgust in young and middle-aged breast cancer patients were explored using latent profile analysis, and unordered multinomial Logistic regression was employed to investigate their influencing factors.Results:A total of 234 young and middle-aged female breast cancer patients were included, with the age of (45.61±10.90) years old. Latent profile analysis revealed three potential categories of self-hatred in these patients: low disgust group (45.30%, 106/234), medium disgust group (41.45%, 97/234), and generalized high disgust group (13.25%, 31/234). Compared to the low disgust group, patients with more comorbidities and poorer self-care ability were more likely to belong to the generalized high disgust group ( OR=0.244, 8.775, both P<0.05). Patients with a longer duration of illness and higher scores on the social constraints scale and chronic illness rejection and discrimination scale were more likely to fall into the medium disgust group and the generalized high disgust group ( OR values were 0.156 - 1.317, all P<0.05). Conclusions:The level of self-disgust in young and middle-aged breast cancer patients is significantly heterogeneous. Nursing staff should formulate personalized intervention strategies according to this classification characteristic, which can be cut from the perspective of reducing patients' social restriction and chronic illness rejection and discrimination to improve patients' acceptance of the disease and self-acceptance level, and then reduce their self-disgust.

Cancer stands as a significant global public health challenge,and cancer screening serves as a pivotal strategy for reducing its mortality.Presently,only a limited number of cancer types have appropriate screening methods available.Traditional single-cancer screen-ing approaches are fraught with limitations,including invasiveness,low accuracy,and poor patient compliance.Multi-cancer early detection(MCED)leveraging liquid biopsy technology enables non-invasive and efficient early detection of multiple cancers by analyzing biomarkers such as cell-free DNA,cell-free RNA,proteins,and metabolites in blood and other bodily fluids.This innovative approach substantially broadens the spectrum of detectable cancers and enhances population coverage,showcasing immense potential for improving existing can-cer screening strategies.This expert consensus comprehensively reviews the progress of liquid biopsy-based MCED,biomarker selection and detection technologies,the criteria for cancer type selection,research design and clinical utility evaluation,as well as implementation path-ways.The overarching goal of this consensus is to offer scientific guidance for further research and the widespread adoption of MCED,thereby facilitating the continuous optimization of cancer screening strategies.

Cancer stands as a significant global public health challenge, and cancer screening serves as a pivotal strategy for reducing its mortality. Presently, only a limited number of cancer types have appropriate screening methods available. Traditional single-cancer screening approaches are fraught with limitations, including invasiveness, low accuracy, and poor patient compliance. Multi-cancer early detection (MCED) leveraging liquid biopsy technology enables non-invasive and efficient early detection of multiple cancers by analyzing biomarkers such as cell-free DNA, cell-free RNA, proteins, and metabolites in blood and other bodily fluids. This innovative approach substantially broadens the spectrum of detectable cancers and enhances population coverage, showcasing immense potential for improving existing cancer screening strategies. This expert consensus comprehensively reviews the progress of liquid biopsy-based MCED, biomarker selection and detection technologies, the criteria for cancer type selection, research design and clinical utility evaluation, as well as implementation pathways. The overarching goal of this consensus is to offer scientific guidance for further research and the widespread adoption of MCED, thereby facilitating the continuous optimization of cancer screening strategies.

Objective:To explore the categories of health behavior autonomy of elderly breast cancer patients and their influencing factors, so as to provide reference for developing targeted strategies.Methods:A convenience sampling method was used to select 300 elderly breast cancer patients from Fenyang Hospital in Shanxi Province from December 2023 to May 2024, and a cross-sectional survey was conducted using general information questionnaire, Functional Indicator of Autonomy (FIA), Simplified Bidirectional Social Support Scale (SBSS), and Fried Frailty Scale (FFS) to explore the potential categories of autonomy by using latent profile analysis, and multicategorical Logistic regression was used to analyze the effects of each factor on their different categories.Results:Validly recovered questionnaires were 256, and the female elderly breast cancer patients aged (65.54 ± 5.34) years. The autonomy of health behaviors of breast cancer patients was divided into three groups: "low autonomy group" (35.56%, 91/256), "medium autonomy group" (48.82%, 125/256), "high autonomy group" (15.62%, 40/256) in 3 potential profiles. Logistic regression analysis showed that patients′knowledge of the disease, debilitation, comorbidities, and bi-directional social support were influential factors in patients′autonomy in health behaviors ( OR values were 0.283-4.310, all P<0.05). Conclusions:There is significant heterogeneity in the level of health behavior autonomy among elderly breast cancer patients. Healthcare professionals should focus on the characteristics of different patients′autonomy and give personalized guidance and nursing interventions to improve the autonomy of patients′health management, in order to provide a basis for intervention to improve the health behaviors of elderly breast cancer.

Objective:To explore the categories of health behavior autonomy of elderly breast cancer patients and their influencing factors, so as to provide reference for developing targeted strategies.Methods:A convenience sampling method was used to select 300 elderly breast cancer patients from Fenyang Hospital in Shanxi Province from December 2023 to May 2024, and a cross-sectional survey was conducted using general information questionnaire, Functional Indicator of Autonomy (FIA), Simplified Bidirectional Social Support Scale (SBSS), and Fried Frailty Scale (FFS) to explore the potential categories of autonomy by using latent profile analysis, and multicategorical Logistic regression was used to analyze the effects of each factor on their different categories.Results:Validly recovered questionnaires were 256, and the female elderly breast cancer patients aged (65.54 ± 5.34) years. The autonomy of health behaviors of breast cancer patients was divided into three groups: "low autonomy group" (35.56%, 91/256), "medium autonomy group" (48.82%, 125/256), "high autonomy group" (15.62%, 40/256) in 3 potential profiles. Logistic regression analysis showed that patients′knowledge of the disease, debilitation, comorbidities, and bi-directional social support were influential factors in patients′autonomy in health behaviors ( OR values were 0.283-4.310, all P<0.05). Conclusions:There is significant heterogeneity in the level of health behavior autonomy among elderly breast cancer patients. Healthcare professionals should focus on the characteristics of different patients′autonomy and give personalized guidance and nursing interventions to improve the autonomy of patients′health management, in order to provide a basis for intervention to improve the health behaviors of elderly breast cancer.

Objective:To study the characteristics of vaginal microbiota in pregnant women with premature rupture of membranes (PROM) and to establish prediction models for PROM.Methods:This study involved 35 women with preterm premature rupture of membranes (PPROM), 180 with term premature rupture of membranes (TPROM) and 255 term birth cases without premature rupture of membranes (TBWPROM, control group). The V3-V4 hypervariable region sequences in the vaginal samples collected at 16-28 weeks of gestation were detected by 16S rRNA gene next-generation sequencing. The differences in Alpha and Beta diversity, and the attributes and metabolic function prediction of each recognized species among the three groups were analyzed. Subsequently, a random forest model was used to establish the prediction models for PROM using vaginal microbiota species and environmental risk factors.Results:Compared with the control group, the Alpha diversity of the PPROM group was higher (Observed features, P=0.022; Faith_pd index, P=0.024) and Beta diversity was also significantly different (Unweighted UniFrac, P=0.010; Jaccard index, P=0.008). In PPROM cases, Megasphaera genomosp. typeⅠ was significantly increased ( P=0.017) and Lactobacillus mulieris was significantly decreased ( P=0.003). In the patients with TPROM, Megasphaera was significantly increased ( P=0.009) and Lactobacillus mulieris was significantly decreased ( P=0.002). In terms of functional pathways, sulfur oxidation ( P=0.021), methanogenesis from acetate ( P=0.036), L-histidine biosynthesis ( P=0.009), adenosylcobalamin biosynthesis ( P=0.041) and fucose degradation ( P=0.001) were significantly increased in patients with PPROM; L-histidine biosynthesis ( P<0.001) and fucose degradation ( P=0.030) were significantly increased in patients with TPROM. The prediction models were established using the random forest model with vaginal microbiota species and environmental risk factors and the prediction model for PPROM performed well [AUC: 0.739 (95%CI: 0.609-0.869), sensitivity: 0.928, specificity: 0.659, positive predictive value: 0.750, negative predictive value: 0.906], which had a certain reference value. Conclusions:Vaginal microbiota might be related to the development and progression of PROM. Studying the differences in vaginal microbiota might provide a new idea for the prevention and treatment of PROM. Functional prediction provided a direction for further research on the mechanism of PROM. The established prediction model could prevent the occurrence of PPROM and promote maternal and infant health.

Objective:To explore the value of conventional ultrasonography combined with cervical compression in the diagnosis of orbital venous malformation (OVM).Methods:A total of 43 patients with suspected OVM were admitted in sequentially from January 2019 to July 2022 in the Third Medical Center of PLA General Hospital. All patients were examined by ultrasonography combined with cervical compression and demonstrated by operation or digital subtraction angiography (DSA). The conventional ultrasound features of OVM were summarized, and the value of conventional ultrasonography combined with cervical compression in the diagnosis of OVM was discussed.Results:The features of the conventional ultrasound combined with cervical compression for diagnosis of OVM were as follows: the interior of lesion was mainly tubular structure, and the compression test was positive. After cervical compression, the lesion enlarged and the inner diameter of the internal tubular structure widened. Doppler flow imaging showed that the interior of lesion was mainly venous blood flow. Compared with the results of postoperative pathology or DSA, the sensitivity, specificity, accuracy and positive predictive value of ultrasonography combined with cervical compression were 0.952, 1.000, 95.3% and 100%, respectively. The results of Fisher exact diagnosis showed that there was no significant difference between ultrasonography and operation or DSA of OVM( P>0.05). Conclusions:Conventional ultrasound combined with cervical compression can be used as an effective method for the diagnosis of OVM.