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Introduction Distant recurrence of non‐muscle invasive bladder cancer is a rare condition that is poorly understood and difficult to detect in follow‐up protocols. Case presentation A 73‐year‐old female with a history of T1N0M0 bladder cancer 8 years ago suffered from a left axillary tumor, a left lung tumor, left mediastinal lymph node swelling, and bilateral adrenal gland tumors. Initially, she was diagnosed with metastatic left breast cancer of the left accessory mamma by needle biopsy of an axillary tumor. Subsequent bronchoscopic biopsy of the mediastinal lymph node revealed metastatic urothelial carcinoma, although no recurrence was detected in the urinary tract. She underwent systemic therapy, and all regions shrank without reprogression. Conclusion Non‐muscle invasive bladder cancer should be managed considering distant metastasis. If the origin of the metastatic lesions is unknown, this disease should be considered as a possible origin, even in the absence of urinary tract recurrence.

Introduction Pelvic arteriovenous malformation is often a source of intraoperative bleeding. Here, we report our experience with a case of ureteral cancer with pelvic arteriovenous malformation treated using laparoscopic nephroureterectomy with temporary intraoperative occlusion of the internal iliac artery. Case presentation A 75‐year‐old man presented to our hospital with asymptomatic macro‐hematuria. Contrast‐enhanced computed tomography revealed right ureteral tumor with no apparent metastases, and right pelvic arteriovenous malformation. Three months later, multiple bladder cancers were identified and the patient underwent trans‐urethral resection of bladder tumor. The pathological diagnosis was urothelial carcinoma, pTa. We performed right laparoscopic nephroureterectomy with temporary intraoperative occlusion of the internal iliac artery. There was little intraoperative bleeding, and the surgery was safely completed. The pathological diagnosis was urothelial carcinoma, pT2 + Tis. Conclusion A patient showing ureteral cancer with pelvic arteriovenous malformation was safely treated using laparoscopic nephroureterectomy with temporary occlusion of the internal iliac artery.

Abstract Wildlife observation is a popular activity, and sightings of rare or difficult‐to‐find animals are often highly desired. However, predicting the sighting probabilities of these animals is a challenge for many observers, and it may only be possible by limited experts with intimate knowledge and skills. To tackle this difficulty, we developed user‐friendly forecast systems of the daily observation probabilities of a rare Arctic seabird (Ross's Gull Rhodostethia rosea) in a coastal area in northern Japan. Using a dataset gathered during 16 successive winters, we applied a machine learning technique of self‐organizing maps and explored how days with gull sightings were related to the meteorological pressure patterns over the Sea of Okhotsk (Method A). We also built a regression model that explains the relationship between gull sightings and local‐scale environmental factors (Method B). We then applied these methods with the operational global numerical weather prediction model (a computer simulation application about the fluid dynamics of Earth's atmosphere) to forecast the daily observation probabilities of our target. Method A demonstrated a strong dependence of gull sightings on the 16 representative weather patterns and forecasted stepwise observation probabilities ranging from 0% to 85.7%. Method B also showed that the strength of the northerly wind and the advancement of the season explained gull sightings and forecasted continuous observation probabilities ranging from 0% to 95.5%. Applying these two methods with the operational global numerical weather prediction model successfully forecasted the varied observation probabilities of Ross's Gull from 1 to 5 days ahead from November to February. A 2‐year follow‐up observation also validated both forecast systems to be effective for successful observation, especially when both systems forecasted higher observation probabilities. The developed forecast systems would therefore allow cost‐effective animal observation and may facilitate a better experience for a variety of wildlife observers.

Glycosphingolipids (GSLs), mainly located in the cell membrane, play various roles in cancer cell function. GSLs have potential as renal cell carcinoma (RCC) biomarkers; however, their analysis in body fluids is challenging because of the complexity of numerous glycans and ceramides. Therefore, we applied wide-targeted lipidomics using liquid chromatography–tandem mass spectrometry (LC–MS/MS) with selected reaction monitoring (SRM) based on theoretical mass to perform a comprehensive measurement of GSLs and evaluate their potency as urinary biomarkers. In semi-quantitative lipidomics, 240 SRM transitions were set based on the reported/speculated structures. We verified the feasibility of measuring GSLs in cells and medium and found that disialosyl globopentaosylceramide (DSGb5 (d18:1/16:0)) increased GSL in the ACHN medium. LC–MS/MS analysis of urine samples from clear cell RCC (ccRCC) patients and healthy controls showed a significant increase in the peak intensity of urinary DSGb5 (d18:1/16:0) in the ccRCC group compared with that in the control group. Receiver operating characteristic analysis indicated that urinary DSGb5 could serve as a sensitive and specific marker for RCC screening, with an AUC of 0.89. This study demonstrated the possibility of urinary screening using DSGb5 (d18:1/16:0). In conclusion, urinary DSGb5 (d18:1/16:0) was a potential biomarker for cancer screening, which could contribute to the treatment of RCC patients.

Tyrosine kinase inhibitors (TKIs) play a crucial role in the treatment of advanced renal cell carcinoma (RCC). However, there is a lack of useful biomarkers for assessing treatment efficacy. Through urinary metabolite analysis, we identified the metabolites and pathways involved in TKI resistance and elucidated the mechanism of TKI resistance. To verify the involvement of the identified metabolites obtained from urine metabolite analysis, we established sunitinib-resistant RCC cells and elucidated the antitumor effects of controlling the identified metabolic pathways in sunitinib-resistant RCC cells. Through the analysis of VEGFR signaling, we aimed to explore the mechanisms underlying the antitumor effects of metabolic control. Glutamine metabolism has emerged as a significant pathway in urinary metabolite analyses. In vitro and in vivo studies have revealed the antitumor effects of sunitinib-resistant RCC cells via knockdown of glutamine transporters. Furthermore, this antitumor effect is mediated by the control of VEGFR signaling via PTEN. Our findings highlight the involvement of glutamine metabolism in the prognosis and sunitinib resistance in patients with advanced RCC. Additionally, the regulating glutamine metabolism resulted in antitumor effects through sunitinib re-sensitivity in sunitinib-resistant RCC. Our results are expected to contribute to the more effective utilization of TKIs with further improvements in prognosis through current drug therapies.