BACKGROUND: Psycho-oncology care has emerged as a significant concern in contemporary oncology practice, given its profound impact on patient psychological well-being. Patients undergoing treatment for head-neck or upper gastrointestinal tract cancers often experience complex emotional and psychological challenges, necessitating specialized support and intervention. Traditional approaches to psycho-oncological care may be limited in their ability to comprehensively assess and address patients\' needs. Therefore, exploring innovative methodologies, such as leveraging natural language processing (NLP) elements, is crucial to enhancing the effectiveness of psycho-oncological interventions.
METHODS: In this study, we developed a method utilizing natural language processing (NLP) elements to augment psycho-oncological care for patients with head-neck or upper gastrointestinal tract cancers. The method aimed to facilitate vocabulary, sentiment, and intensity analysis of five basic emotions (happiness, sadness, anger, disgust, and fear), as well as to explore potential areas of difficulty such as body image, pain, and self-esteem. We conducted research involving 50 patients across three treatment stages.
RESULTS: Our method facilitated the identification of characteristic features at each treatment stage, aiding in the tailoring of appropriate therapies to individual patient needs. The results offer insights valuable to psychologists and psychiatrists for expedited diagnosis and intervention, potentially influencing therapy outcomes. Additionally, the data may inform treatment decisions by addressing patient-specific concerns. Furthermore, our method holds promise for optimizing the allocation of psychological care resources, particularly at the initial stages of patient contact.
CONCLUSIONS: The main problem in the research was the fairly wide age range of participants, which explains the potential diversity of vocabulary.
CONCLUSIONS: In conclusion, our study demonstrates the potential utility of integrating natural language processing (NLP) elements into psycho-oncological care for patients with head-neck or upper gastrointestinal tract cancers. The developed method offers a novel approach to comprehensively assessing patients\' emotional states and areas of difficulty, thereby facilitating tailored interventions and treatment planning. These findings underscore the importance of continued research and innovation in psycho-oncology to enhance patient care and outcomes.

BACKGROUND: There is a lack of robust prognostic markers for upper gastrointestinal (GI) tract cancers, including esophageal, gastric, and esophagogastric junction cancers. T cell immunoglobulin and mucin-domain containing-3 (TIM3) plays a key immunomodulatory role and is linked to the prognosis of various cancers. However, the significance of TIM3 in upper GI tract tumors is still uncertain.
OBJECTIVE: To investigate the prognostic value of TIM3 expression in upper GI tract tumors.
METHODS: A literature search was conducted on the PubMed, Embase, and Web of Science databases for relevant studies published until June 2023. After screening and quality assessment, studies that met the criteria were included in the meta-analysis. Statistical methods were used for the pooled analysis to assess the association of TIM3 expression in upper GI tract tumors with the prognosis and clinicopathological parameters. The results were reported with the hazard ratio (HR) and 95% confidence interval (CI).
RESULTS: Nine studies involving 2556 patients with upper GI tract cancer were included. High TIM3 expression was associated with a worse prognosis in upper GI tract cancer (HR: 1.17, 95%CI: 1.01-1.36). Positive expression of TIM3 in gastric cancer was correlated with the T and N stage, but the difference was not statistically significant. However, TIM3 overexpression was significantly correlated with the TNM stage (odds ratio: 1.21, 95%CI: 0.63-2.33; P < 0.05). TIM3 expression showed no association with the other clinicopathological parameters.
CONCLUSIONS: High expression of TIM3 in the upper GI tract cancer is associated with a worse prognosis and advanced T or N stages, indicating its potential value as a prognostic biomarker. These findings may provide a basis for the personalized treatment of upper GI tract cancers.

BACKGROUND: Head and neck cancers (H&NCs) constitute a significant part of all cancer cases. H&NC patients experience unintentional weight loss, poor nutritional status, or speech disorders. Medical interventions affect appearance and interfere with patients\' self-perception of their bodies. Psychological consultations are not affordable due to limited time.
METHODS: We used NLP to analyze the basic emotion intensity, sentiment about one\'s body, characteristic vocabulary, and potential areas of difficulty in free notes. The emotion intensity research uses the extended NAWL dictionary developed using word embedding. The sentiment analysis used a hybrid approach: a sentiment dictionary and a deep recursive network. The part-of-speech tagging and domain rules defined by a psycho-oncologist determine the distinct language traits. Potential areas of difficulty were analyzed using the dictionaries method with word polarity to define a given area and the presentation of a note using bag-of-words. Here, we applied the LSA method using SVD to reduce dimensionality. A total of 50 cancer patients requiring enteral nutrition participated in the study.
RESULTS: The results confirmed the complexity of emotions in patients with H&NC in relation to their body image. A negative attitude towards body image was detected in most of the patients. The method presented in the study appeared to be effective in assessing body image perception disturbances, but it cannot be used as the sole indicator of body image perception issues.
CONCLUSIONS: The main problem in the research was the fairly wide age range of participants, which explains the potential diversity of vocabulary.
CONCLUSIONS: The combination of the attributes of a patient\'s condition, possible to determine using the method for a specific patient, can indicate the direction of support for the patient, relatives, direct medical personnel, and psycho-oncologists.

The current study presents the case of a 72-year-old woman with a rapidly enlarged liver metastasis from esophagogastric junction (EGJ) cancer, accompanied by progressive leukocytosis (47,680/µl) and elevated serum granulocyte colony-stimulating factor (G-CSF; 779 pg/ml). The patient underwent right hemihepatectomy 26 months after a total gastrectomy. On the seventh post-operative day the patient\'s leukocyte count and serum G-CSF level decreased to 4,280/µl and ≤19.5 pg/ml, respectively. Histologically, the lesion was a well to moderately differentiated adenocarcinoma similar to the primary lesion. Therefore, this tumor was clinically diagnosed as a G-CSF-producing liver metastasis from EGJ cancer, although immunohistochemical staining for G-CSF was negative. A right pulmonary nodule detected simultaneously with the hepatic mass was resected four months following the hepatectomy and was diagnosed as a pulmonary metastasis. The patient\'s leukocyte count was normal at the time of her initial surgery for EGJ cancer, and her clinical course varied for different metastatic sites. The liver metastasis was accompanied by progressive leukocytosis and elevated serum G-CSF and demonstrated rapid tumor growth during a six-month period, whereas the non-G-CSF-producing pulmonary metastasis grew slowly during the same period. In addition 21 reported cases of G-CSF-producing upper gastrointestinal tract cancer were reviewed to elucidate the clinicopathological features of this disease.