Tumors are complex, highly heterogeneous diseases that place an enormous burden on the world's healthcare systems. Updating understanding of tumor initiation and progression is critical and the current breakthrough lies in cancer neuroscience, which focuses on the crosstalk between neural components and tumors. Neuropeptides are a class of highly potent peptides, that perform the physiological functions of neurotransmitters, neuromodulators, and endocrine hormones. Currently, many studies have shown that many cellular components of the tumor microenvironment express neuropeptides and their receptors and that neuropeptides may play an important role in their cellular communication. In addition, neuropeptides and their receptors affect cancer hallmarks such as proliferation, invasion and metastasis, angiogenesis, immune escape, metabolic reprogramming, and others. More importantly, neuropeptides may also affect some tumor comorbidities such as insomnia, depression, anorexia, cancer pain, and others. Targeting neuropeptides in combination with new therapeutic strategies may significantly advance anti-tumor therapy, not only for treating the tumor itself but also for improving the patient's quality of life.

Objective To evaluate the efficacy and safety of botulinum toxin A (BTX-A) injection into the external urethral sphincter in combination with sacral neuromodulation (SNM) for the treatment of idiopathic non-obstructive urinary retention (INOUR). Methods A total of 57 INOUR patients treated in our hospital during May 2022 and May 2024 were enrolled. Patients were divided into the BTX (n=30) and combined groups (n=27) according to whether they chose SNM after BTX-A injection. The baseline, postoperative 1-month and 6-month consecutive 3-day voiding diaries, quality of life score (QoL), and post-void residual (PVR), preoperative and postoperative 1-month urodynamic results, and postoperative complications were recorded and compared between the two groups. Results One month after surgery, the average number of voiding frequency per day and PVR were lower in both groups than those before surgery (P<0.05), while the average daily urine volume and maximum flow rate (MFR) were higher (P<0.05). There was no statistically significant difference between the maximum detrusor pressure during micturition in both groups before and after surgery (P>0.05). One month after surgery, the average number of voiding frequency per day, average daily urine volume, PVR, QoL, MFR, bladder compliance (BC), and maximum cystometric capacity (MCC) were better in the combined group than in the BTX group (P<0.05), and the efficiency was higher in the combined group (88.9% vs.63.3%, P<0.05). Six months after surgery, the efficacy of the BTX group returned to the baseline level with no statistically significant difference, whereas the efficacy of the combined group was stable (not different from the postoperative 1-month indicators, but better than the baseline level). During the follow-up, there was no difference in the incidence of complications between the BTX group and combined group [43.3% (13/30) vs. 48.1% (13/27), P>0.05]. Conclusion BTX-A injection into the external urethral sphincter combined with SNM improves the short-term outcomes of INOUR patients and maintains the efficacy 6 months postoperatively, which is a safe and reliable treatment option.

The risk prediction approach integrating disease and syndrome aligns more precisely with the clinical diagnosis and treatment needs of osteoporosis.Prior research has established a consensus on the model development methodology encompassing"Target outcome selection→ Key information collection→ Data mining and modeling →Model performance evaluation".Building on this foundation,a cohort of osteoporosis patients and syndrome cases with stable follow-up is established.Utilizing artificial intelligence algorithms,critical information in traditional Chinese medicine(TCM)symptoms and syndromes is objectively characterized and quantified alongside imaging data.Employing multi-omics sequencing technology,we seek to identify highly specific microscopic molecular information,analyze potential correlations among various dimensions of information,and develop a multidimensional risk prediction model for osteoporosis with distinctive TCM attributes.This model aims to identify biomarkers with both"disease"and"syndrome"characteristics,thereby advancing the precision diagnosis and treatment system for osteoporosis.

The risk prediction approach integrating disease and syndrome aligns more precisely with the clinical diagnosis and treatment needs of osteoporosis.Prior research has established a consensus on the model development methodology encompassing"Target outcome selection→ Key information collection→ Data mining and modeling →Model performance evaluation".Building on this foundation,a cohort of osteoporosis patients and syndrome cases with stable follow-up is established.Utilizing artificial intelligence algorithms,critical information in traditional Chinese medicine(TCM)symptoms and syndromes is objectively characterized and quantified alongside imaging data.Employing multi-omics sequencing technology,we seek to identify highly specific microscopic molecular information,analyze potential correlations among various dimensions of information,and develop a multidimensional risk prediction model for osteoporosis with distinctive TCM attributes.This model aims to identify biomarkers with both"disease"and"syndrome"characteristics,thereby advancing the precision diagnosis and treatment system for osteoporosis.

Cancer cachexia is a multi-organ syndrome and closely related to changes in signal communication between organs, which is mediated by cancer cachexia factors. Cancer cachexia factors, being the general name of inflammatory factors, circulating proteins, metabolites, and microRNA secreted by tumor or host cells, play a role in secretory or other organs and mediate complex signal communication between organs during cancer cachexia. Cancer cachexia factors are also a potential target for the diagnosis and treatment. The pathogenesis of cachexia is unclear and no clear effective treatment is available. Thus, the treatment of cancer cachexia from the perspective of the tumor ecosystem rather than from the perspective of a single molecule and a single organ is urgently needed. From the point of signal communication between organs mediated by cancer cachexia factors, finding a deeper understanding of the pathogenesis, diagnosis, and treatment of cancer cachexia is of great significance to improve the level of diagnosis and treatment. This review begins with cancer cachexia factors released during the interaction between tumor and host cells, and provides a comprehensive summary of the pathogenesis, diagnosis, and treatment for cancer cachexia, along with a particular sight on multi-organ signal communication mediated by cancer cachexia factors. This summary aims to deepen medical community’s understanding of cancer cachexia and may conduce to the discovery of new diagnostic and therapeutic targets for cancer cachexia.