Prognostic Role of a New Index Tested in European and Korean Advanced Biliary Tract Cancer Patients: the PECS Index

Prognostic and clinical pathological significance of the systemic immune-inflammation index in urothelial carcinoma: a systematic review and meta-analysis

Background

A new non-invasive biomarker, the Systemic Immune-Inflammation Index (SII), has been proven to have prognostic value in multiple cancers. This systematic review and meta-analysis aimed to investigate the prognostic and clinical pathological significance of SII in urothelial carcinoma.

Methods

A comprehensive search was conducted across multiple databases, including PubMed, Web of Science, Embase, Cochrane Library, and CNKI. The quality of the included studies was assessed using the Newcastle-Ottawa Scale (NOS). Hazard ratios (HR) with 95% confidence intervals (CI) were calculated to evaluate the prognostic value of SII before treatment on survival outcomes, and odds ratios (OR) with 95%CI were used to assess the correlation between SII before treatment and clinical pathological features.

Results

This meta-analysis included a total of 10 studies (11 datasets) with 6,333 patients. The pooled analysis showed that high SII before surgery was significantly associated with poor survival outcomes in patients with urothelial carcinoma, including overall survival (OS) (HR=1.55, 95%CI 1.24-1.95, p<0.001), cancer-specific survival (CSS) (HR=2.74, 95%CI 1.67-4.49, p<0.001), recurrence-free survival (RFS) (HR=2.74, 95%CI 1.67-4.49, p<0.001), and progression-free survival (PFS) (HR=1.66, 95%CI 1.36-2.02, p<0.001). In addition, patients with elevated preoperative SII values were more likely to have adverse pathological features, including larger tumor size and advanced pathological T stage (p<0.001).

Conclusion

These findings suggest a significant association between high SII levels before treatment and poor survival outcomes, as well as certain clinical pathological features, in patients with urothelial carcinoma.

Development of a nomogram to predict survival in advanced biliary tract cancer

The prognosis of advanced biliary tract cancer (BTC) patients remains poor due to limited efficacy of chemotherapy and difficulties in management. Thus, prediction of survival is crucial for the clinical management of advanced BTC. The aim was to develop and validate a nomogram to predict 6-month and 12-month survival in advanced BTC patients treated with chemotherapy. A multivariable Cox regression model was used to construct a nomogram in a training set (JCOG1113, a phase III trial comparing gemcitabine plus S-1 [GS] and gemcitabine plus cisplatin, n = 351). External validity of the nomogram was assessed using a test set (JCOG0805, a randomized, phase II trial comparing GS and S-1 alone, n = 100). Predictive performance was assessed in terms of discrimination and calibration. The constructed nomogram included lymph node metastasis, liver metastasis, carbohydrate antigen 19-9, carcinoembryonic antigen, albumin, and C-reactive protein. Uno's concordance index was 0.661 (95% confidence interval [CI] 0.629-0.696) in the training set and 0.640 (95% CI 0.566-0.715) in the test set. The calibration plots for 6-month and 12-month survival showed good agreement in the two analysis sets. The present nomogram can facilitate prediction of the prognosis of advanced BTC patients treated with chemotherapy and help clinicians' prognosis-based decision-making.

INTS8 is a therapeutic target for intrahepatic cholangiocarcinoma via the integration of bioinformatics analysis and experimental validation

Intrahepatic cholangiocarcinoma (CHOL) remains a rare malignancy, ranking as the leading lethal primary liver cancer worldwide. However, the biological functions of integrator complex subunit 8 (INTS8) in CHOL remain unknown. Thus, this research aimed to explore the potential role of INTS8 as a novel diagnostic or therapeutic target in CHOL. Differentially expressed genes (DEGs) in two Gene Expression Omnibus (GEO) datasets were obtained by the “RRA” package in R software. The “maftools” package was used to visualize the CHOL mutation data from The Cancer Genome Atlas (TCGA) database. The expression of INTS8 was detected by performing quantitative reverse transcription-PCR (qRT-PCR) and immunohistochemistry in cell lines and human samples. The association between subtypes of tumour-infiltrating immune cells (TIICs) and INTS8 expression in CHOL was determined by using CIBERSORT tools. We evaluated the correlations between INTS8 expression and mismatch repair (MMR) genes and DNA methyltransferases (DNMTs) in pan-cancer analysis. Finally, the pan-cancer prognostic signature of INTS8 was identified by univariate analysis. We obtained the mutation landscapes of an RRA gene set in CHOL. The expression of INTS8 was upregulated in CHOL cell lines and human CHOL samples. Furthermore, INTS8 expression was closely associated with a distinct landscape of TIICs, MMR genes, and DNMTs in CHOL. In addition, the high INTS8 expression group presented significantly poor outcomes, including overall survival (OS), disease-specific survival (DSS) and disease-free interval (DFI) (p < 0.05) in pan-cancer. INTS8 contributes to the tumorigenesis and progression of CHOL. Our study highlights the significant role of INTS8 in CHOL and pan-cancers, providing a valuable molecular target for cancer research.

A prognostic model in patients with advanced biliary tract cancer receiving first-line chemotherapy

BACKGROUND

Standard treatment of advanced biliary tract cancer (aBTC) is represented by first-line chemotherapy (CT1). However, some patients do not gain any benefit from CT1, contributing to the overall dismal prognosis of aBTC. The present study aimed to devise a prognostic model in aBTC patients receiving CT1.

METHODS

A large panel of clinical, laboratory, and pathology variables, available before the start of CT1, were retrospectively assessed in a multi-centric cohort to determine their prognostic value on univariate and multivariate regression analysis. The variables that showed a significant correlation with overall survival (OS) were computed in a three-tier prognostic score. External validation of the prognostication performance was carried out.

RESULTS

Clinical histories of 935 patients (median OS 10.3 months), with diagnosis dates ranging from 2001 to 2017, were retrieved from 14 institutions. According to multivariate analysis, Eastern Cooperative Oncology Group performance status, carbohydrate antigen 19.9, albumin levels, and neutrophil/lymphocyte ratio were strongly associated with OS (p <0.01). The prognostic score could generate a highly significant stratification (all between-group p values ≤0.001) into groups of favorable (comprising 51.5% of the sample), intermediate (39.2%), and poor prognosis (9.3%): median OS was 12.7 (CI_95% 11.0-14.4), 7.1 (CI_95% 5.8-8.4), and 3.2 months (CI_95% 1.7-4.7), respectively. This OS gradient was replicated in the validation set (129 patients), with median OS of 12.7 (CI_95% 11.0-14.3), 7.5 (CI_95% 6.1-8.9), and 1.4 months (CI_95% 0.1-2.7), respectively (all between-group p values ≤0.05).

CONCLUSION

A prognostic score, derived from a limited set of easily-retrievable variables, efficiently stratified a large population of unselected aBTC patients undergoing CT1. This tool could be useful to clinicians, to ascertain the potential benefit from CT1 at the start of treatment.

Clinical insights and prognostic factors from an advanced biliary tract cancer case series: a real-world analysis

Advanced biliary tract cancer (aBTC) comprises a heterogeneous group of rare malignancies with dismal prognosis. Given the scarcity of prospective evidence, the aim of this study was to derive clinically useful insights and prognostic factors from a large, real-world series of aBTC. Clinicopathologic variables and treatment outcomes were retrospectively collected involving 940 patients diagnosed with aBTC between 2001 and 2017, and treated with first-line chemotherapy (CT1) at 14 Italian medical oncology institutions. Median overall survival (OS) was 10.3 months (CI_95% 9.5-11.1). CT1 with gemcitabine-Platinum salts doublets achieved OS of 11.7 months vs 7.5 with gemcitabine alone (HR 0.67, p < 0.001). However, a clear temporal trend towards improved OS could not be demonstrated. Radical surgery of recurrent disease achieved a relapse-free survival of 5.9 months. A substantial minority (44.5%) of patients were able to receive a second-line chemotherapy, which achieved a response rate of 7.6%, and disease control in 30% of patients with no significant differences between combination regimens and monotherapies. In a large retrospective series of real-world aBTC, outcomes of standard CT1 closely resembled those of the registrational trials. A limited set of easily retrievable independent prognostic factors was defined. Further research is needed on second-line regimens.

A Novel Prognostic Tool in Western and Eastern Biliary Tract Cancer Patients Treated in First-line Setting: the ECSIPOT Index

BACKGROUND AND AIM

The need to estimate prognosis of advanced BTC (aBTC) patients treated with first-line chemotherapy is compelling. The aim of the study is to evaluate the ECSIPOT (psECogSIiPnigOT) index, influenced by PECS (PsECogSii) index, prognostic nutritional index (PNI), and GOT.

METHODS

This international study was conducted on a training cohort of 126 patients and in three validation cohorts, both European and Korean. ECSIPOT index formula: (PECS:0 = 1 point; PECS:1 = 1.4 points; PECS:2 = 3.2 points) + (PNI > 36.7 = 1 point; PNI < 36.7 = 2 points) + (GOT < 100 = 1 point; GOT > 100 = 2 points). Event-time distributions were estimated using the Kaplan-Meier method, and survival curves were compared using the log-rank test.

RESULTS

In the training cohort, mOS was 12.9, 6.3, and 2.8 months for patients with ECSIPOT-0, ECSIPOT-1, and ECSIPOT-2, respectively (ECSIPOT-0: HR 1; ECSIPOT-1: HR 2.11; ECSIPOT-2: HR 4.93; p < 0.0001). In the first validation cohort, mOS was 11.5, 7.3, and 3.3 months for ECSIPOT-0, ECSIPOT-1, and ECSIPOT-2, respectively (ECSIPOT-0: HR 1; ECSIPOT-1: HR 1.74; ECSIPOT-2: HR 3.41; p < 0.0001). In the second validation cohort, mOS was 25.2, 12.5, and 3.0 months for ECSIPOT-0, ECSIPOT-1, and ECSIPOT-2, respectively (ECSIPOT-0: HR = 1; ECSIPOT-1: HR 2.33; ECSIPOT-2: HR 8.46; p < 0.0001). In the third validation cohort, mOS was 11.8, 8.1, and 4.6 months for ECSIPOT-0, ECSIPOT-1, and ECSIPOT-2, respectively (ECSIPOT-0: HR = 1; ECSIPOT-1: HR 1.47; ECSIPOT-2: HR 3.17; p < 0.0001). Multivariate analysis in all cohorts confirmed the ECSIPOT index as an independent prognostic factor for OS.

CONCLUSION

The easy assessment and good risk-stratification performance make the ECSIPOT index a promising tool to comprehensively estimate the prognosis of aBTC patients.