Folate pathway gene expression in metastatic colorectal cancer patients treated with arfolitixorin/5-FU-based chemotherapy.

2021 ◽  
Vol 39 (3_suppl) ◽  
pp. 99-99
Author(s):  
Roger Tell ◽  
Alessandro Di Cara ◽  
Elisabeth Odin ◽  
Göran Ulf Carlsson ◽  
Yvonne Wettergren

99 Background: Arfolitixorin is the natural, biologically active form of the marketed folates and is expected to be efficacious in a larger proportion of patients with less inter- and intra-individual variability compared with e.g. leucovorin. We have previously found a positive correlation between survival and expression of folate pathway genes in stage III/IV CRC treated with 5-fluorouracil/leucovorin (5-FU/LV). Low expression of folate-related genes may lead to poor response to 5-FU/LV-based treatment, since suboptimal transport and metabolization of LV yield insufficient active [6R]-5,10-methylenetetrahydrofolate and weak inhibition of the target enzyme thymidylate synthase (TYMS). The aim of the present study was to investigate possible confounders and biomarkers of arfolitixorin/5-FU-based treatment in relation to safety and response in a phase I/IIa metastatic colorectal cancer (mCRC) trial. Methods: ISO-CC-005 is a multi-center, phase I/IIa study in mCRC patients eligible for 5-FU/folate therapy alone or in combination with irinotecan or oxaliplatin ± bevacizumab. Patients were also treated with different doses of arfolitixorin as a single or double bolus. The study investigated safety and tolerability of arfolitixorin, and anti-tumor activity was evaluated by overall response rate (ORR) per RECIST v1.1 after 4 cycles of chemotherapy. RNA was prepared from FFPE tumor tissue, reverse transcribed and used for gene expression profiling. The following genes of interest were evaluated: ABCC3, MTHFD2, SLC46A1, SLC19A1, SLC25A32 and TYMS. An ANOVA test was used to rule out potential biases in the baseline expression levels of the genes and to assess the potential association with clinical response. Results: Eighty-one (77.1%) of 105 patients provided material for this analysis. A lower pre-treatment expression of TYMS was associated with clinical benefit (PR and SD; p = 0.021). No clear association was identified between the gene expression markers and the number of adverse events. Gender was not significantly associated with differences in gene expression. Conclusions: Low pre-treatment expression levels of TYMS were associated with clinical benefit (PR and SD) following treatment. Given the role of this gene in the folate metabolic pathways we plan to further assess its predictive potential on a larger cohort during our ongoing global phase III AGENT study. In parallel an assessment of the expression of the other candidate genes on specific patient sub-groups is currently ongoing. These studies will provide additional cues on the use of these genes as predictive markers for treatment outcome and their role in the mode of action of the drug. Clinical trial information: NCT02244632.

2015 ◽  
Vol 33 (3_suppl) ◽  
pp. 601-601 ◽  
Author(s):  
Giorgia Marisi ◽  
Paola Ulivi ◽  
Emanuela Scarpi ◽  
Alessandro Passardi ◽  
Giovanni Luca Frassineti ◽  
...  

601 Background: Assome controversies exist regarding the efficacy of bevacizumab (B) for the treatment of metastatic colorectal cancer (mCRC), novel predictive biomarkers are needed to improve patient selection and optimize the use of this agent. We analyzed the potential usefulness of five circulating biomarkers as predictors of B efficacy and in monitoring the disease. Methods: Peripheral blood samples collected at different times (baseline, first clinical evaluation and disease progression) were available for 62 of the 376 patients enrolled in the prospective multicentric ITACa trial (NCT01878422) and randomized to receive FOLFOX4/FOLFIRI (CT) with or without B. Thirty-one of the 62 patients received CT plus B and31 received CT only (control group). All patients were evaluated for response according to RECIST criteria. mRNA was isolated and used for gene expression analysis of HIF-1α, COX2, VEGF-A, EPHB4 and eNOS by a quantitative RT-PCR method. Baseline expression levels of the markers and their modulation during therapy were correlated with objective response (OR) (median test), progression-free (PFS) and overall survival (OS) (Cox proportional hazards model). Potential predictive markers were identified using a treatment-by-marker interaction term in the Cox model. Results: Non-responders (stable and progressive disease) had a median baseline HIF-1α expression significantly higher than responders (complete and partial response) (1.70 vs. 0.94; IQR 1.05-2.32 vs. 0.70-1.12) (p=0.016) in the B-treated group only. In univariate analysis, the high HIF-1α levels of this group were significantly associated with a shorter PFS (HR=1.96, 95% CI 1.17-3.30) (p=0.011) but not with OS. The HIF-1α-treatment interaction was p=0.088. No significant association was found between the other 4 genes and OR, PFS or OS. The results obtained on the modulation of gene expression during treatment are currently being analyzed. Conclusions: Our preliminary datasuggest that high pre-treatment HIF-1α expression levels could represent a predictive biomarker of resistance to bevacizumab. Partially funded by Roche S.p.A. and the Italian Medicines Agency (AIFA).


2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 502-502 ◽  
Author(s):  
Carsten Denkert ◽  
Chiara Lambertini ◽  
Peter A. Fasching ◽  
Katherine L. Pogue-Geile ◽  
Max S. Mano ◽  
...  

502 Background: The phase 3 KATHERINE study (NCT01772472) compared adjuvant T-DM1 versus H in patients with residual invasive breast cancer after neoadjuvant chemotherapy plus HER2-targeted therapy. Here we report exploratory analyses of the relationship between invasive disease-free survival (IDFS) and biomarkers potentially related to response. Methods: Formalin fixed paraffin-embedded tissue samples were collected before neoadjuvant treatment and/or at surgery. Surgical samples were used for analyses, except when only pre-treatment samples were available (~20% of cases). DNA was derived to identify PIK3CA hotspot mutations and gene expression (RNA) analysis was used to detect HER2, PD-L1, CD8 and predefined immune signatures including 3-gene, 5-gene, Teffector, chemokine signaling, and checkpoint inhibitor signatures. RNA analysis was adjusted for tumor content and expression levels were dichotomized at the median into low (≤) and high (>) groups. The effect of treatment and biomarkers on IDFS was assessed. Results: PIK3CA mutation (mut) status was available from 1363 (91.7%) patients. T-DM1 IDFS benefit was independent of PIK3CA mut status (mut: HR 0.54; 95%CI 0.23–0.90; non-mut: HR 0.48; 95%CI 0.35–0.65) and no impact of PIK3CA mut was observed within either treatment arm. Gene expression data were available from 1059 (71.3%) patients. Similar gene expression levels were observed between treatment arms, but, unlike the surgical samples (n = 815), the pre-treatment samples (n = 244) were not representative of the ITT population. Thus, subsequent analyses were based on surgical samples (H n = 398; T-DM1 n = 417). Consistent treatment benefit with T-DM1 vs H was observed across the single-gene and immune gene-signature subgroups as in the ITT population. High vs low HER2 expression was associated with worse outcome (HR 2.02; 95% CI 1.32–3.11) within the H arm, but not within the T-DM1 arm (HR 1.01; 95% CI 0.56–1.83). High vs low PD-L1 expression was associated with better outcome within the H arm (HR 0.66; 95% CI 0.44–1.00) but not within the T-DM1 arm (HR 1.05; 95% CI 0.59–1.87). Similar trends were observed in the checkpoint inhibitor subgroups. Conclusions: These exploratory analyses provide the first data on the relationship between biomarker expression in residual disease after HER2-targeted therapy and outcomes. PIK3CA mut status did not influence outcomes with H or T-DM1. T-DM1 benefit appeared to be independent of all biomarkers assessed. Clinical trial information: NCT01772472 .


2021 ◽  
Vol 11 (2) ◽  
pp. 126
Author(s):  
Noshad Peyravian ◽  
Stefania Nobili ◽  
Zahra Pezeshkian ◽  
Meysam Olfatifar ◽  
Afshin Moradi ◽  
...  

This study aimed at building a prognostic signature based on a candidate gene panel whose expression may be associated with lymph node metastasis (LNM), thus potentially able to predict colorectal cancer (CRC) progression and patient survival. The mRNA expression levels of 20 candidate genes were evaluated by RT-qPCR in cancer and normal mucosa formalin-fixed paraffin-embedded (FFPE) tissues of CRC patients. Receiver operating characteristic curves were used to evaluate the prognosis performance of our model by calculating the area under the curve (AUC) values corresponding to stage and metastasis. A total of 100 FFPE primary tumor tissues from stage I–IV CRC patients were collected and analyzed. Among the 20 candidate genes we studied, only the expression levels of VANGL1 significantly varied between patients with and without LNMs (p = 0.02). Additionally, the AUC value of the 20-gene panel was found to have the highest predictive performance (i.e., AUC = 79.84%) for LNMs compared with that of two subpanels including 5 and 10 genes. According to our results, VANGL1 gene expression levels are able to estimate LNMs in different stages of CRC. After a proper validation in a wider case series, the evaluation of VANGL1 gene expression and that of the 20-gene panel signature could help in the future in the prediction of CRC progression.


2017 ◽  
Vol 28 (6) ◽  
pp. 1288-1293 ◽  
Author(s):  
J.J.M. Kwakman ◽  
L.H.J. Simkens ◽  
J.M. van Rooijen ◽  
A.J. van de Wouw ◽  
A.J. ten Tije ◽  
...  

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