Development and internal validation of a multifactorial risk prediction model for gallbladder cancer in a high-incidence country

Since 2006, Chile has been implementing a gallbladder cancer (GBC) prevention program based on prophylactic cholecystectomy for gallstone patients aged 35 to 49 years. The effectiveness of this prevention program has not yet been comprehensively evaluated. We conducted a retrospective study of 473 Chilean GBC patients and 2137 population-based controls to develop and internally validate three GBC risk prediction models. The Baseline Model accounted for gallstones while adjusting for sex and birth year. Enhanced Model I also included the non-genetic risk factors: body mass index, educational level, Mapuche surnames, number of children and family history of GBC. Enhanced Model II further included Mapuche ancestry and the genotype for rs17209837. Multiple Cox regression was applied to assess the predictive performance, quantified by the area under the precision-recall curve (AUC-PRC) and the number of cholecystectomies needed (NCN) to prevent one case of GBC at age 70 years. The AUC-PRC for the Baseline Model (0.44%, 95%CI 0.42-0.46) increased by 0.22 (95%CI 0.15-0.29) when non-genetic factors were included, and by 0.25 (95%CI 0.20-0.30) when incorporating non-genetic and genetic factors. The overall NCN for Chileans with gallstones (115, 95%CI 104-131) decreased to 92 (95%CI 60-128) for Chileans with a higher risk than the median according to Enhanced Model I, and to 80 (95%CI 59-110) according to Enhanced Model II. In conclusion, age, sex and gallstones are strong risk factors for GBC, but consideration of other non-genetic factors and individual genotype data improves risk prediction and may optimize allocation of financial resources and surgical capacity.Fil: Boekstegers, Felix. Ruprecht Karls Universitat Heidelberg; AlemaniaFil: Scherer, Dominique. Ruprecht Karls Universitat Heidelberg; AlemaniaFil: Barahona Ponce, Carol. Ruprecht Karls Universitat Heidelberg; AlemaniaFil: Marcelain, Katherine. Universidad de Chile; ChileFil: Gárate Calderón, Valentina. Universidad de Chile; ChileFil: Waldenberger, Melanie. No especifíca;Fil: Morales, Erik. Universidad Católica de Maule; ChileFil: Rojas, Armando. Universidad Católica de Maule; ChileFil: Munoz, César. Universidad Católica de Maule; ChileFil: Retamales, Javier. Instituto Nacional del Cáncer; ChileFil: de Toro, Gonzalo. Universidad Austral de Chile; ChileFil: Barajas, Olga. Universidad de Chile; ChileFil: Rivera, María Teresa. Hospital del Salvador; ChileFil: Cortés, Analía. Hospital del Salvador; ChileFil: Loader, Denisse. Hospital Padre Hurtado; ChileFil: Saavedra, Javiera. Hospital Padre Hurtado; ChileFil: Gutiérrez, Lorena. Hospital San Juan de Dios; ChileFil: Ortega, Alejandro. Hospital Regional; ChileFil: Bertrán, Maria Enriqueta. Hospital Base de Valdivia; ChileFil: Bartolotti, Leonardo. Hospital Base de Valdivia; ChileFil: Gabler, Fernando. Hospital Clínico San Borja Arriarán; ChileFil: Campos, Mónica. Hospital Clínico San Borja Arriarán; ChileFil: Alvarado, Juan. Hospital Regional de Concepción - Dr. Guillermo Grant Benavente; ChileFil: Moisán, Fabricio. Hospital Regional de Concepción - Dr. Guillermo Grant Benavente; ChileFil: Spencer, Loreto. Hospital Regional de Concepción - Dr. Guillermo Grant Benavente; ChileFil: Nervi, Bruno. No especifíca;Fil: Carvajal Hausdorf, Daniel. Universidad del Desarrollo; ChileFil: Losada, Héctor. Universidad de La Frontera; ChileFil: Almau, Mauricio. Hospital de Rancagua; ChileFil: Fernández, Plinio. Hospital de Rancagua; ChileFil: Olloquequi, Jordi. Universidad de Barcelona; EspañaFil: Fuentes Guajardo, Macarena. Universidad de Tarapacá; ChileFil: Gonzalez-Jose, Rolando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto Patagónico de Ciencias Sociales y Humanas; ArgentinaFil: Bortolini, Maria Cátira. Universidade Federal do Rio Grande do Sul; BrasilFil: Acuña Alonzo, Victor. No especifíca;Fil: Gallo, Carla. Universidad Peruana Cayetano Heredia; PerúFil: Ruiz-Linares, Andres. Colegio Universitario de Londres; Reino UnidoFil: Rothhammer, Francisco. Universidad de Tarapacá; ChileFil: Lorenzo Bermejo, Justo. Ruprecht Karls Universitat Heidelberg; Alemani

Mendelian Randomization Analysis of the Relationship Between Native American Ancestry and Gallbladder Cancer Risk

Background A strong association between the proportion of Native American ancestry and the risk of gallbladder cancer (GBC) has been reported in observational studies. Chileans show the highest incidence of GBC worldwide, and the Mapuche are the largest Native American people in Chile. We set out to investigate the causal association between Native American Mapuche ancestry and GBC risk, and the possible mediating effects of gallstone disease and body mass index (BMI) on this association. Methods Markers of Mapuche ancestry were selected based on the informativeness for assignment measure and then used as instrumental variables in two-sample mendelian randomization (MR) analyses and complementary sensitivity analyses. Result We found evidence of a causal effect of Mapuche ancestry on GBC risk (inverse variance-weighted (IVW) risk increase of 0.8% for every 1% increase in Mapuche ancestry proportion, 95% CI 0.4% to 1.2%, p = 6.6×10-5). Mapuche ancestry was also causally linked to gallstone disease (IVW risk increase of 3.6% per 1% increase in Mapuche proportion, 95% CI 3.1% to 4.0%, p = 1.0×10-59), suggesting a mediating effect of gallstones in the relationship between Mapuche ancestry and GBC. In contrast, the proportion of Mapuche ancestry showed a negative causal effect on BMI (IVW estimate -0.006 kg/m2 per 1% increase in Mapuche proportion, 95% CI -0.009 to -0.003, p = 4.4×10-5). Conclusions The results presented here may have significant implications for GBC prevention and are important for future admixture mapping studies. Given that the association between Mapuche ancestry and GBC risk previously noted in observational studies appears to be causal, primary and secondary prevention strategies that take into account the individual proportion of Mapuche ancestry could be particularly efficient

Effect of neoadjuvant chemotherapy on tumor-infiltrating lymphocytes and PD-L1 expression in breast cancer and its clinical significance

Abstract Background The effects of neoadjuvant chemotherapy on immune markers remain largely unknown. The specific aim of this study was to assess stromal tumor-infiltrating lymphocytes (TILs) and programmed death ligand 1 (PD-L1) protein expression in a cohort of breast cancer patients treated with neoadjuvant chemotherapy. Methods Using quantitative immunofluorescence, we investigated stromal TILs and PD-L1 protein expression in pre-treatment and residual breast cancer tissue from a Yale Cancer Center patient cohort of 58 patients diagnosed with breast cancer from 2003 to 2009 and treated with neoadjuvant chemotherapy. We compared the TIL count and PD-L1 status in paired pre-treatment and residual cancer tissues and correlated changes and baseline levels with survival. Results Of the 58 patients, 46 (79.3%) had hormone-positive and 34 (58.6%) had node-positive breast cancer. Eighty-six percent of residual cancer tissues had TIL infiltration and 17% had PD-L1 expression. There was a trend for higher TIL counts in postchemotherapy compared to prechemotherapy samples (p = 0.09). Increase in TIL count was associated with longer 5-year recurrence-free survival (p = 0.02, HR = 3.9, 95% CI = 1.179–15.39). PD-L1 expression (both stromal and tumor cells) was significantly lower in post-treatment samples (p = 0.001). Change in PD-L1 expression after therapy or TILs and PD-L1 expression in the posttreatment samples did not correlate with survival. Conclusions Increase in stromal TILs in residual cancer compared to pretreatment tissue is associated with improved recurrence-free survival. Despite a trend for increasing TIL counts, PD-L1 expression decreased in residual disease compared to pretreatment samples

Additional file 4: Figure S2. of Effect of neoadjuvant chemotherapy on tumor-infiltrating lymphocytes and PD-L1 expression in breast cancer and its clinical significance

Showing PD-L1 expression in post-neoadjuvant breast cancer specimens. A Distribution of maximal scores of PD-L1 (SP142 antibody) in the tumor (red) and stromal (blue) compartments. The cutoff was set at 500 AQUA units (QIF). B Linear regression of stromal versus tumor PD-L1 AQUA (QIF) scores. (TIF 148 kb

Additional file 2: Figure S1. of Effect of neoadjuvant chemotherapy on tumor-infiltrating lymphocytes and PD-L1 expression in breast cancer and its clinical significance

Showing HES of TILs at baseline and post-treatment. A Baseline HES of a case with moderate TIL infiltration at baseline and increased TIL counts following treatment. B Matched post-neoadjuvant HES of the baseline biopsy shown in (A). C Baseline HES of a case that displayed decrease TIL counts following treatment. D. Matched post-neoadjuvant HES of the baseline biopsy shown in (C). 20× Magnification, bar = 200 μm. (TIF 948 kb

Additional file 5: Figure S3. of Effect of neoadjuvant chemotherapy on tumor-infiltrating lymphocytes and PD-L1 expression in breast cancer and its clinical significance

Showing SP142 antibody validation and reproducibility. A Regressions in QIF scores (average) between staining performed in different days in serial sections of a lung cancer TMA (245). B Representative immunostaining for PD-L1 SP142 antibody in control tissues (placenta in upper panel and lung in lower panel) using QIF (left panel; SP142 in Cy5, red and cytokeratin mask in Cy3, green) and conventional IHC staining with DAB (right panel). (TIF 583 kb

Expression and clinical significance of PD-L1, B7-H3, B7-H4 and TILs in human small cell lung Cancer (SCLC)

Abstract Background Small cell lung cancer (SCLC) accounts for 10–15% of all lung malignancies and its prognosis is dismal. Although early studies have shown promising clinical activity of immune checkpoint blockers, the immune composition and expression of potentially actionable immunostimulatory targets in this malignancy are poorly understood. Methods Using multiplexed quantitative immunofluorescence (QIF), we measured the levels of 3 different B7 family ligands PD-L1, B7-H3, B7-H4 and major tumor infiltrating lymphocyte (TIL) subsets in 90 SCLC samples represented in tissue microarray format. Associations between the marker levels, clinicopathological variables and survival were studied. Results PD-L1 protein was detected in 7.3%, B7-H3 in 64.9% and B7-H4 in 2.6% of SCLC cases. The markers showed limited co-expression and were not associated with the level of TILs, age, gender and stage. Elevated B7-H4 was associated with shorter 5-year overall survival. The levels of CD3+, CD8+ and CD20+ TILs and the ratio of total/effector T-cells were significantly lower in SCLC than in non-small cell lung cancer. High levels of CD3+, but not CD8+ or CD20+ TILs were significantly associated with longer survival. Conclusions Taken together, our study indicate variable expression and clinical role of B7-family ligands in SCLC with predominant expression of the candidate target B7-H3 and the presence of a limited cytotoxic anti-tumor immune response. These results support the evaluation of B7-H3 blockers and/or pro-inflammatory therapies in SCLC