Interleukin-6 as a Predictive Factor of Pathological Response to FLOT Regimen Systemic Treatment in Locally Advanced Gastroesophageal Junction or Gastric Cancer Patients.

BACKGROUND: Perioperative treatment is a gold standard in locally advanced gastric cancer or GEJ cancer in the Western population. Unfortunately, the response rate after neoadjuvant chemotherapy (NAC) remains limited. Moreover, there are currently no biomarkers enabling an individual prediction of therapeutic efficacy. The aim of this study was the identification of serum biomarkers of early response to NAC. METHODS: We conducted this prospective study in the MSCNRIO in Warsaw, Poland. A total of 71 patients and 15 healthy volunteers gave informed consent. Complete blood count, carcinoembryonic antigen (CEA), carcinoma antigen 125 (CA125), carcinoma antigen 19.9 (CA19.9), and fibrinogen (F) were measured at baseline and before every cycle. Circulating tumour cells (CTCs) and interleukin-1ß (IL-1ß), interleukin-6 (IL-6), interleukin-8 (IL-8), and interleukin-10 (IL-10) were measured in a pilot group of 40 patients at baseline and before cycle two (C2) and cycle three (C3). RESULTS: Of all the measured parameters, only the IL-6 serum level was statistically significant. The IL-6 level before C2 of chemotherapy was significantly decreased in the complete pathological response (pCR) vs. the non-pCR group (3.71 pg/mL vs. 7.63 pg/mL, p = 0.004). In all patients with an IL-6 level below 5.0 pg/mL in C2, tumour regression TRG1a/1b according to the Becker classification and ypN0 were detected in postoperative histopathological specimens. The IL-6 level before C1 of chemotherapy was significantly elevated in ypN+ vs. ypN0 (7.69 pg/mL vs. 2.89 pg/mL, p = 0.022). CONCLUSIONS: The trial showed that an elevated level of IL-6 prior to treatment and C2 might be a predictor of pathological response to NAC.

Safety and efficacy of the FLOT regimen in the Polish population - an analysis of the prospective trial.

As gastric cancer is associated with poor prognosis, the preferred management of locally advanced gastric cancer (GC) and gastroesophageal junction (GEJ) cancer in European patients is perioperative chemotherapy using the FLOT regimen. Previously published data demonstrate that such treatment is associated with improved disease-free survival (DFS) as well as overall survival (OS) compared to ECF/ECX regimen. In order to collect biomaterial for the identification of serum biomarkers of an early response to neoadjuvant chemotherapy, we performed a prospective study and here, we report the safety and clinical efficacy of this prospective cohort. It was an academic, nonrandomized, prospective study, conducted at Maria Sklodowska-Curie National Research Institute of Oncology in Warsaw, Poland. Between January 2018 and November 2019, we analyzed a total of 61 patients aged 30-77 (median 63 years, 52.5% males and 47.5% females) with histologically confirmed GC or GEJ cancer. The patients were qualified by a multidisciplinary team for perioperative treatment (FLOT regimen). All cases of reported adverse events were recorded and analyzed. All patients received G-CSF prophylactically. After gastrectomy, an assessment of pathological regression was performed according to the Becker classification. A total of 93.4% (57) patients completed four cycles of preoperative chemotherapy and 78.7% (48) received postoperative chemotherapy. All of them experienced grade 1/2 toxicities. The common AE G1/G2 in preoperative versus postoperative chemotherapy were: fatigue (75% vs. 60%), anemia (64% vs. 62%), nausea (60% vs. 60%), peripheral neuropathy (60% vs. 60%), and oral mucositis (59% vs. 50%), respectively. Only 24.6% (15) had G3/4 adverse events during preoperative chemotherapy and only 20.8% (10) during postoperative chemotherapy. The estimated DFS at 3 years was 53% (95% CI 40.5-66.1%) and the estimated OS at 3 years was 60.2% (95% CI 45.1-72.3%). FLOT regimen significantly improved GC and GEJ cancer patients' prognosis with acceptable side-effect profiles.

Long-term observation of gastric patients with positive immunocytochemistry of peritoneal washing.

Prognosis in gastric cancer patients is highly dependent on the tumor stage at presentation. Surgery still remains the main therapeutic option in gastric cancer patients. However, the efficacy of this treatment may be substantially limited by the risk of peritoneal dissemination. The introduction of hyperthermic intraperitoneal chemotherapy (HIPEC) may affect the long-term outcomes in this group of patients, but high morbidity associated with this procedure provides the rationale to identify the correct population of patients for HIPEC. The aim of the study was to evaluate a long-term prognostic value of peritoneal washing immunocytochemistry as a prognostic factor in patients with gastric cancer. This is a prospective, long-term analysis of patients who underwent peritoneal lavage with immunocytochemistry assessment in the Maria Sklodowska-Curie National Research Institute of Oncology, in Warsaw, Poland. Between January 2002 and November 2004, a total of 157 patients with histologically confirmed gastric cancer were enrolled in the study. Laparotomy and intra-operative peritoneal lavage for immunocytochemistry examination were performed prior to gastrectomy. All patients were followed up with endpoints of cancer recurrence and mortality. Positive peritoneal washing immunocytochemistry was associated with clinical staging of gastric cancer, overall survival, and progression-free survival. It is an independent poor outcome prognostic factor.

Support-vector-machine classification of linear functional motifs in proteins.

Our algorithm predicts short linear functional motifs in proteins using only sequence information. Statistical models for short linear functional motifs in proteins are built using the database of short sequence fragments taken from proteins in the current release of the Swiss-Prot database. Those segments are confirmed by experiments to have single-residue post-translational modification. The sensitivities of the classification for various types of short linear motifs are in the range of 70%. The query protein sequence is dissected into short overlapping fragments. All segments are represented as vectors. Each vector is then classified by a machine learning algorithm (Support Vector Machine) as potentially modifiable or not. The resulting list of plausible post-translational sites in the query protein is returned to the user. We also present a study of the human protein kinase C family as a biological application of our method.

AutoMotif server: prediction of single residue post-translational modifications in proteins.

UNLABELLED: The AutoMotif Server allows for identification of post-translational modification (PTM) sites in proteins based only on local sequence information. The local sequence preferences of short segments around PTM residues are described here as linear functional motifs (LFMs). Sequence models for all types of PTMs are trained by support vector machine on short-sequence fragments of proteins in the current release of Swiss-Prot database (phosphorylation by various protein kinases, sulfation, acetylation, methylation, amidation, etc.). The accuracy of the identification is estimated using the standard leave-one-out procedure. The sensitivities for all types of short LFMs are in the range of 70%. AVAILABILITY: The AutoMotif Server is available free for academic use at http://automotif.bioinfo.pl/