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3.
Front Oncol ; 12: 897218, 2022.
Article in English | MEDLINE | ID: mdl-35719955

ABSTRACT

Background and Objectives: Only recently the percentage of signet ring cells (SRCs) in gastric cancer (GC) has been proposed as an independent predictor of survival. High amounts of SRCs have been related to lower recurrence and mortality rates, better prognosis, and favorable clinicopathological features in a poorly cohesive histotype. It is not known what the effect of SRC percentage in mixed-type GC is. We investigate the role of SRCs as a prognostic marker in mixed-histotype GC. Methods: A retrospective analysis was performed through a prospectively maintained database of patients with diagnosed "mixed-type" gastric carcinoma, defined according to 2019 WHO classification. These patients underwent surgery between 1995 and 2016, and their tissue samples were stored in a tissue bank. All slides were analyzed, and patients were divided into three groups according to the percentage of SRCs: "Group 1" (displaying ≤10% of SRCs), "Group 2" (displaying <90% but >10% of SRCs), and "Group 3" (displaying ≥90% of SRCs). We compared clinical and pathological features as well as prognostic factors between the different groups. Results: Among 164 enrolled patients, 68.9% were male and 31.1% were female (p = 0.612). The mean (±SD) age at diagnosis was 71.4 ± 9.6 years. Ninety-eight (59.7%) patients were classified as "Group 1", 66 (40.3%) as "Group 2", and none as "Group 3". Five-year overall survival was remarkably higher in Group 2 (73.8%) in comparison to Group 1 (35.4%), p < 0.001. Mortality risk was three times higher in patients with ≤10% SRC pattern compared to those with >10% [HR 2.70 (95% CI 1.72-4.24)]. After adjusting according to potential confounding factors, SRC percentage was still an independent predictor of survival. Conclusions: The proportion of SRCs is inversely related to aggressive behavior and poor prognosis in mixed-type GCs, highlighting the role of SRC amount as an independent predictor of survival.

4.
J Clin Pathol ; 73(3): 162-166, 2020 Mar.
Article in English | MEDLINE | ID: mdl-31554678

ABSTRACT

AIMS: Neoadjuvant chemoradiotherapy (neoCRT) is recommended for locally advanced rectal cancer (RC), however, this often makes lymph node (LN) search trying. The aim of this study was to evaluate, in a large retrospective, monocentric, series of post-neoCRT-RC patients, the importance of LN number, ratio and surface area in predicting metastases, overall survival (OS) and disease free survival (DFS). METHODS: 104 patients with RC underwent total mesorectal excision, after standard neoCRT. All resected specimens were examined according to a standardised sampling/histopathological protocol. The following data regarding LNs were collected: total numbers; number with metastases; LNratio (metastatic/total); maximum diameter; surface area. RESULTS: A statistically significant association was found between LN number and DFS (p=0.0473). Finding ≤9 or >20 LNs correlated with worse prognosis compared with 10-20 (p value=0.049). LNratio (>0.2) was strongly associated with shorter DFS (HR=13.36; p value <0.0001) and OS (HR=26.06; p value <0.0001). Poor outcome, for DFS (HR=2.17, p value =0.0416) and OS (HR=1.18, p value =0.0025), was associated with increasing LN surface area. LNratio was independently associated with DFS at multivariate analysis (p value <0.0001). CONCLUSIONS: LN number, LNratio and LN surface area are important prognostic factors in neoCRT-RC and in particular finding ≤9 or >20 LNs is prognostically adverse.


Subject(s)
Adenocarcinoma/therapy , Chemoradiotherapy, Adjuvant , Digestive System Surgical Procedures , Lymph Nodes/surgery , Neoadjuvant Therapy , Rectal Neoplasms/therapy , Adenocarcinoma/mortality , Adenocarcinoma/secondary , Adult , Aged , Aged, 80 and over , Disease-Free Survival , Female , Humans , Italy , Lymph Node Excision , Lymph Nodes/pathology , Lymphatic Metastasis , Male , Middle Aged , Rectal Neoplasms/mortality , Rectal Neoplasms/pathology , Retrospective Studies , Risk Assessment , Risk Factors , Time Factors
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