RESUMEN
SERS analysis of biofluids, coupled with classification algorithms, has recently emerged as a candidate for point-of-care medical diagnosis. Nonetheless, despite the impressive results reported in the literature, there are still gaps in our knowledge of the biochemical information provided by the SERS analysis of biofluids. Therefore, by a critical assignment of the SERS bands, our work aims to provide a systematic analysis of the molecular information that can be achieved from the SERS analysis of serum and urine obtained from breast cancer patients and controls. Further, we compared the relative performance of five different machine learning algorithms for breast cancer and control samples classification based on the serum and urine SERS datasets, and found comparable classification accuracies in the range of 61-89%. This result is not surprising since both biofluids show striking similarities in their SERS spectra providing similar metabolic information, related to purine metabolites. Lastly, by carefully comparing the two datasets (i.e., serum and urine) we show that it is possible to link the misclassified samples to specific metabolic imbalances, such as carotenoid levels, or variations in the creatinine concentration.
Asunto(s)
Neoplasias de la Mama , Algoritmos , Neoplasias de la Mama/diagnóstico , Femenino , Humanos , Biopsia Líquida , Suero , Espectrometría Raman/métodosRESUMEN
Krukenberg's tumor diagnosed in pregnancy is an uncommon situation that raises both diagnosis and medical management issues. We performed a review of the existing literature regarding this pathology, diagnostic means and therapeutic approaches, motivated by a case in our own practice. A 35-year-old primigravida was diagnosed with an adnexal mass during the first trimester prenatal ultrasound. Ultrasound revealed a 10 cm right adnexal mass with multiple septae, richly vascularized, whose presence and characteristics were confirmed by magnetic resonance imaging. Due to the progressively increasing tumor size, laparoscopy was performed with right adnexectomy and peritoneal biopsies. Histopathology diagnosed a metastatic ovarian tumor from a mucinous colorectal adenocarcinoma. After delivery the patient was further investigated and diagnosed with sigmoid cancer. Even though ovarian cancer in pregnancy is rare, adnexal ultrasound is mandatory when scanning during the first trimester to rule out the presence of associated fallopian or ovarian masses.