Background and Objectives: This study aimed to assess the clinical-pathological profile of patients with invasive cutaneous melanomas and to identify the parameters with a prognostic role in the lymph nodal spread of this malignant tumor. Materials and Methods: We performed a retrospective study on patients with invasive cutaneous melanomas who underwent surgery in the “Pius Brînzeu” County Clinical Emergency Hospital from Timișoara, Romania, and were evaluated for the status of loco-regional lymph nodes. We selected and analyzed some parameters searching for their relationship with lymph node metastases. Results: We identified 79 patients with invasive cutaneous melanomas (29 men and 50 women, mean age 59.36 years). A percentage of 58.3% of melanomas had Breslow tumor thickness >2 mm; 69.6% of melanomas showed a Clark level IV–V. Tumor ulceration was present in 59.5% of melanomas. A mitotic rate of ≥5 mitoses/mm² was observed in 48.1% of melanomas. Tumor-infiltrating lymphocytes (TILs), non-brisk, were present in 59.5% of cases and 22.8% of patients had satellite/in-transit metastasis (SINTM). Tumor regression was identified in 44.3% of cases. Lymph nodes metastases were found in 43.1% of patients. Statistical analysis showed that lymph node metastases were more frequent in melanomas with Breslow thickness >2 mm (p = 0.0002), high Clark level (p = 0.0026), mitotic rate >5 mitoses/mm² (p = 0.0044), ulceration (p = 0.0107), lymphovascular invasion (p = 0.0182), SINTM (p = 0.0302), and non-brisk TILs (p = 0.0302). Conclusions: The Breslow thickness >2 mm, high Clark level, high mitotic rate and ulceration are the most important prognostic factors for lymph nodal spread in cutaneous melanomas. However, some melanomas without these clinical-pathological features can have an unexpected, aggressive evolution, which entails the necessity of close and prolonged clinical follow-up of patients, including those with lesions considered without risk.

The aim of our study was to assess the prognostic value of the two new grading systems based on the quantification of tumor budding - TB (GBd) and poorly differentiated clusters - PDCs (PDCs-G) in colorectal carcinomas (CRC). We performed a retrospective study on 71 CRC patients who underwent surgery at the Emergency County Hospital, Timișoara. CRC cases were classified based on haematoxylin-eosin slides, using the conventional grading system, GBd and PDCs-G, respectively. We used two-tier and three-tier grading schemes for each system. Subsequently, we evaluated associations with other prognostic factors in CRC. Based on the three-tier GBd (GBd-3t) most cases (34/69, 49.27%) were classified as G3Bd-3t, while based on the conventional grading system, the majority of the cases (55/69, 79.71%) were considered G2. On the other hand, based on the three-tier PDCs-G system (PDCs-G-3t), most cases (31/69, 44.93%) were PDCs-G2-3t. We also noted a more significant association of GBd-3t with other prognostic parameters analyzed, as compared to the conventional grading system. Nodal status, tumor stage, and lymphovascular invasion were strongly correlated with GBd-3t (p=0.0001). Furthermore, we noted that PDCs-G-3t correlated more significantly than the conventional grading system with nodal status (p<0.0001), tumor stage (p=0.0003), lymphovascular invasion (p<0.0001), perineural invasion (p=0.005) and the tumor border configuration (p<0.0001). High GBd and PDCs-G grades correlate directly with other negative prognostic factors in CRC.Thus, these new parameters/classification methods could be used as additional tools for risk stratification in patients with CRC.

Background and objectives: We aimed to assess the significance of sex and age compared to other clinical-pathological parameters in colorectal cancer (CRC). Materials and methods: Our study included a retrospective approach to CRC patients who underwent surgery at the ‘Pius Brinzeu’ County Clinical Emergency Hospital in Timisoara (PBECCHT), Romania. The analyzed parameters were: patient age and sex, tumor location, histological type, differentiation grade (G), extent of tumor (pT), lymph-node status (pN), distant metastasis status (pM), and lymphovascular invasion (LVI). The population was divided into three groups based on age, with those under 49 years old, 50 to 69 years old, and elderly (>70). Results: The study’s inclusion criteria were met by 1885 patients, with a male-to-female ratio of 1.39:1. There were significant differences between the sexes in the anatomical location of tumors (p < 0.0001). Younger patients were more likely to have deeply invasive tumors (p = 0.0096), LVI (p = 0.0332), lymph-node metastases (p = 0.0158), and metastatic disease (p = 0.0017). Conclusions: Over the ten-year period reviewed, the frequency of CRC cases has progressively increased, with males being diagnosed more often. In terms of patient age, the young population exhibits clinical features of aggressive evolution. Patient sex did not influence the analyzed parameters, except for tumor location, where right colon tumors are slightly more common in females.

Background and Objectives: Colorectal cancer (CRC) continues to be an essential public health problem. Our study aimed to evaluate the prognostic significance of classic prognostic factors and some less-studied histopathological parameters in CRC. Materials and Methods: We performed a retrospective study on 71 colorectal carcinoma patients who underwent surgery at the “Pius Brînzeu” County Clinical Emergency Hospital in Timișoara, Romania. We analyzed the classic parameters but also tumor budding (TB), poorly differentiated clusters (PDCs) of cells, tumor-infiltrating lymphocytes (TILs), and the configuration of the tumor border on hematoxylin–eosin slides. Results: A high degree of malignancy (p = 0.006), deep invasion of the intestinal wall (p = 0.003), an advanced stage of the disease (p < 0.0001), lymphovascular invasion (p < 0.0001), perineural invasion (p < 0.0001), high-grade TB (p < 0.0001), high-grade PDCs (p < 0.0001), infiltrative tumor border configuration (p < 0.0001) showed a positive correlation with lymph node metastases. Conclusions: The analyzed parameters positively correlate with unfavorable prognostic factors in CRC. We highlight the value of classic prognostic factors along with a series of less-known parameters that are more accessible and easier to evaluate using standard staining techniques and that could predict the risk of relapse or aggressive evolution in patients with CRC.

Objective: In 2018, colorectal cancer (CRC) was the second most frequent malignancy in Romania after lung cancer. Although CRC is typically encountered in patients >50 years old, CRC's global incidence among younger adults has been increasing. We aimed to compare the disease characteristics of patients with CRC aged ≤50 years with those >50 years old. Methods: We retrospectively evaluated data from patients with CRC who underwent standard surgery at “Pius Brinzeu” Emergency County Hospital, Timisoara, Romania. Patients were divided into two groups: Group 1 (patients ≤50 years old) and Group 2 (patients >50 years old). Six parameters were analyzed (sex, residence location, age, tumor localization, microscopic findings, pathological staging). Results: Data on age-related CRC were available for 1380 patients treated from January 2012 to December 2018. Group 1 included 120 patients while group 2 included 1260 patients. Significantly more Group 1 patients presented with advanced CRC compared with Group 2 patients (94.2% vs. 87.4%). Furthermore, CRC in younger adults was more likely to be diagnosed at an advanced stage. Conclusions: Monitoring the CRC incidence in younger adults is essential to assess whether screening practices require changes and to raise awareness among clinicians of the increasing CRC incidence among younger patients.

Breast cancer is the most prevalent neoplasia among women, with early and accurate diagnosis critical for effective treatment. In clinical practice, however, the subjective nature of histological grading of infiltrating ductal adenocarcinoma of the breast (DAC-NOS) often leads to inconsistencies among pathologists, posing a significant challenge to achieving optimal patient outcomes. Our study aimed to address this reproducibility problem by leveraging artificial intelligence (AI). We trained a deep-learning model using a convolutional neural network-based algorithm (CNN-bA) on 100 whole slide images (WSIs) of DAC-NOS from the Cancer Genome Atlas Breast Invasive Carcinoma (TCGA-BRCA) dataset. Our model demonstrated high precision, sensitivity, and F1 score across different grading components in about 17.5 h with 19,000 iterations. However, the agreement between the model’s grading and that of general pathologists varied, showing the highest agreement for the mitotic count score. These findings suggest that AI has the potential to enhance the accuracy and reproducibility of breast cancer grading, warranting further refinement and validation of this approach.