Liquid Biopsy and Artificial Intelligence as Tools to Detect Signatures of Colorectal Malignancies: A Modern Approach in Patient's Stratification.

Colorectal cancer (CRC) is the second most frequently diagnosed type of cancer and a major worldwide public health concern. Despite the global efforts in the development of modern therapeutic strategies, CRC prognosis is strongly correlated with the stage of the disease at diagnosis. Early detection of CRC has a huge impact in decreasing mortality while pre-lesion detection significantly reduces the incidence of the pathology. Even though the management of CRC patients is based on robust diagnostic methods such as serum tumor markers analysis, colonoscopy, histopathological analysis of tumor tissue, and imaging methods (computer tomography or magnetic resonance), these strategies still have many limitations and do not fully satisfy clinical needs due to their lack of sensitivity and/or specificity. Therefore, improvements of the current practice would substantially impact the management of CRC patients. In this view, liquid biopsy is a promising approach that could help clinicians screen for disease, stratify patients to the best treatment, and monitor treatment response and resistance mechanisms in the tumor in a regular and minimally invasive manner. Liquid biopsies allow the detection and analysis of different tumor-derived circulating markers such as cell-free nucleic acids (cfNA), circulating tumor cells (CTCs), and extracellular vesicles (EVs) in the bloodstream. The major advantage of this approach is its ability to trace and monitor the molecular profile of the patient's tumor and to predict personalized treatment in real-time. On the other hand, the prospective use of artificial intelligence (AI) in medicine holds great promise in oncology, for the diagnosis, treatment, and prognosis prediction of disease. AI has two main branches in the medical field: (i) a virtual branch that includes medical imaging, clinical assisted diagnosis, and treatment, as well as drug research, and (ii) a physical branch that includes surgical robots. This review summarizes findings relevant to liquid biopsy and AI in CRC for better management and stratification of CRC patients.

Unmet needs in the diagnosis and treatment of Romanian patients with bilio-pancreatic tumors: results of a prospective observational multicentric study.

Background. Biliopancreatic tumors (BPT) are among the most aggressive solid malignancies, and their incidence is rising. Good patient outcome relies heavily on a multidisciplinary approach to therapy, including timely access to endoscopy, surgery and chemo/radiotherapy. We aimed to evaluate current practices as reflected in the management and outcome of patients diagnosed with BPT in the setting of a low-resource medical system in order to identify areas suitable for improvement. Material and methods. We conducted a prospective observational study of patients with pancreatic cancers and extrahepatic cholangiocarcinomas evaluated in 4 referral centers in Romania. We collected data on the pathology of the tumors, staging at diagnosis, ECOG status, surgical interventions, chemo/radiotherapy and endoscopic drainage where applicable. A telephonic follow-up visit at 3 months after the enrollment visit collected additional data regarding evolution, subsequent treatment, performance status and disease-related events and outcomes. Results and conclusions. One hundred seventy-two patients were included in the study during a one-year period at the four participating centers. 72.1% were diagnosed with pancreatic cancer while 27.9% had extrahepatic cholangiocarcinoma. We identified several unmet needs in the current practices of treatment for these malignancies: a lack of pathological confirmation in 25.6% of the cases, a very low percentage of resectable lesions (only 18% of the patients operated with curative intent), and suboptimal choice of drainage in patients who required palliative drainage at their first endoscopic intervention. Significant effort is required to ensure standard-of-care treatment for patient with BPT in low-resource medical systems, including comprehensive auditing and protocol surveillance.

An atypical type I gastric neuroendocrine tumor.

BACKGROUND: Gastric neuroendocrine tumors (GI-NETs) are rare lesions, usually discovered incidentally during endoscopy. Based on their pathology, there are 4 types of GI-NETs. Type I are multiple small polypoid lesions with central ulceration located in the gastric body or the fundus, associated with atrophic gastritis usually noninvasive and very rarely metastatic. We report on a rare case of a gastric NET arising from the muscularis propria layer of the pyloric ring. CASE REPORT: We present the case of a 65-year old woman with a history of alcoholic cirrhosis, investigated for melena. Upper endoscopy revealed a 30 mm submucosal pedunculated polypoid lesion located on the pylorus protruding in the duodenum, with normal overlying mucosa, fundic gastric atrophy and multiple small polyps at this level, with no active bleeding. CT scan did not reveal any distant metastases. An ultrasound endoscopy was performed, and a round hypoechoic heterogeneous solitary mass, evolving from the pyloric muscle was described. Considering a 30-mm tumor evolving from the gastric muscle layer in the absence of local invasion and with no distant metastases we decided against an endoscopical resection and we referred the patient to surgery. A laparoscopic wedge resection was performed. The pathology report described a 30/25 mm welldifferentiated neuroendocrine tumor invasive in the muscularis mucosa (pT3). CONCLUSIONS: Usually, type I neuroendocrine tumors are located in the body or the fundus of the stomach without submucosal invasion. The interesting feature in our case was that the tumor originated from the pylorus, making it an atypical presentation for a neuroendocrine tumor.