Real-world performance analysis of a novel computational method in the precision oncology of pediatric tumors.

BACKGROUND: The utility of routine extensive molecular profiling of pediatric tumors is a matter of debate due to the high number of genetic alterations of unknown significance or low evidence and the lack of standardized and personalized decision support methods. Digital drug assignment (DDA) is a novel computational method to prioritize treatment options by aggregating numerous evidence-based associations between multiple drivers, targets, and targeted agents. DDA has been validated to improve personalized treatment decisions based on the outcome data of adult patients treated in the SHIVA01 clinical trial. The aim of this study was to evaluate the utility of DDA in pediatric oncology. METHODS: Between 2017 and 2020, 103 high-risk pediatric cancer patients (< 21 years) were involved in our precision oncology program, and samples from 100 patients were eligible for further analysis. Tissue or blood samples were analyzed by whole-exome (WES) or targeted panel sequencing and other molecular diagnostic modalities and processed by a software system using the DDA algorithm for therapeutic decision support. Finally, a molecular tumor board (MTB) evaluated the results to provide therapy recommendations. RESULTS: Of the 100 cases with comprehensive molecular diagnostic data, 88 yielded WES and 12 panel sequencing results. DDA identified matching off-label targeted treatment options (actionability) in 72/100 cases (72%), while 57/100 (57%) showed potential drug resistance. Actionability reached 88% (29/33) by 2020 due to the continuous updates of the evidence database. MTB approved the clinical use of a DDA-top-listed treatment in 56 of 72 actionable cases (78%). The approved therapies had significantly higher aggregated evidence levels (AELs) than dismissed therapies. Filtering of WES results for targeted panels missed important mutations affecting therapy selection. CONCLUSIONS: DDA is a promising approach to overcome challenges associated with the interpretation of extensive molecular profiling in the routine care of high-risk pediatric cancers. Knowledgebase updates enable automatic interpretation of a continuously expanding gene set, a "virtual" panel, filtered out from genome-wide analysis to always maximize the performance of precision treatment planning.

Personalized First-Line Treatment of Metastatic Pancreatic Neuroendocrine Carcinoma Facilitated by Liquid Biopsy and Computational Decision Support.

BACKGROUND: We present the case of a 50-year-old female whose metastatic pancreatic neuroendocrine tumor (pNET) diagnosis was delayed by the COVID-19 pandemic. The patient was in critical condition at the time of diagnosis due to the extensive tumor burden and failing liver functions. The clinical dilemma was to choose between two registered first-line molecularly-targeted agents (MTAs), sunitinib or everolimus, or to use chemotherapy to quickly reduce tumor burden. METHODS: Cell-free DNA (cfDNA) from liquid biopsy was analyzed by next generation sequencing (NGS) using a comprehensive 591-gene panel. Next, a computational method, digital drug-assignment (DDA) was deployed for rapid clinical decision support. RESULTS: NGS analysis identified 38 genetic alterations. DDA identified 6 potential drivers, 24 targets, and 79 MTAs. Everolimus was chosen for first-line therapy based on supporting molecular evidence and the highest DDA ranking among therapies registered in this tumor type. The patient's general condition and liver functions rapidly improved, and CT control revealed partial response in the lymph nodes and stable disease elsewhere. CONCLUSION: Deployment of precision oncology using liquid biopsy, comprehensive molecular profiling, and DDA make personalized first-line therapy of advanced pNET feasible in clinical settings.

A computational method for prioritizing targeted therapies in precision oncology: performance analysis in the SHIVA01 trial.

Precision oncology is currently based on pairing molecularly targeted agents (MTA) to predefined single driver genes or biomarkers. Each tumor harbors a combination of a large number of potential genetic alterations of multiple driver genes in a complex system that limits the potential of this approach. We have developed an artificial intelligence (AI)-assisted computational method, the digital drug-assignment (DDA) system, to prioritize potential MTAs for each cancer patient based on the complex individual molecular profile of their tumor. We analyzed the clinical benefit of the DDA system on the molecular and clinical outcome data of patients treated in the SHIVA01 precision oncology clinical trial with MTAs matched to individual genetic alterations or biomarkers of their tumor. We found that the DDA score assigned to MTAs was significantly higher in patients experiencing disease control than in patients with progressive disease (1523 versus 580, P = 0.037). The median PFS was also significantly longer in patients receiving MTAs with high (1000+ <) than with low (<0) DDA scores (3.95 versus 1.95 months, P = 0.044). Our results indicate that AI-based systems, like DDA, are promising new tools for oncologists to improve the clinical benefit of precision oncology.

Efficacy of Incremental Next-Generation ALK Inhibitor Treatment in Oncogene-Addicted, ALK-Positive, TP53-Mutant NSCLC.

BACKGROUND: The anaplastic lymphoma kinase (ALK) gene fusion rearrangement is a potent oncogene, accounting for 2-7% of lung adenocarcinomas, with higher incidence (17-20%) in non-smokers. ALK-positive tumors are sensitive to ALK tyrosine kinase inhibitors (TKIs), thus ALK-positive non-small-cell lung cancer (NSCLC) is currently spearheading precision medicine in thoracic oncology, with three generations of approved ALK inhibitors in clinical practice. However, these treatments are eventually met with resistance. At the molecular level, ALK-positive NSCLC is of the lowest tumor mutational burden, which possibly accounts for the high initial response to TKIs. Nevertheless, TP53 co-mutations are relatively frequent and are associated with adverse outcome of crizotinib treatment, whereas utility of next-generation ALK inhibitors in TP53-mutant tumors is still unknown. METHODS: We report the case of an ALK-positive, TP53-mutant NSCLC patient with about five years survival on ALK TKIs with continued next-generation regimens upon progression. RESULTS: The tumor showed progression on crizotinib, but long tumor control was achieved following the incremental administration of next-generation ALK inhibitors, despite lack of evident resistance mechanisms. CONCLUSION: TP53 status should be taken into consideration when selecting ALK-inhibitor treatment for personalized therapies. In TP53-mutant tumors, switching TKI generations may overcome treatment exhaustion even in the absence of ALK-dependent resistance mechanisms.

[The application of target-based tissue-agnostic therapy in the treatment of lung cancer]. / Célpontalapú, szövettanitípus-agnosztikus daganatterápia és a tüdorák.

More than 6 million mutations of more than 600 cancer genes can occur in over 200 tumor types according to the COSMIC (Catalogue of Somatic Mutations in Cancer) database. The theoretical combination of all "driver" alterations and tumor types adds up to an enormous number. Therefore, there is a legitimate need to use the same targeted therapy in the presence of its target and mechanism of action in multiple tumor types. The first tissue-agnostic drugs that are registered solely based on molecular biomarkers are the NTRK inhibitors (larotrectinib and entrectinib) and the PD-1 inhibitor pembrolizumab in microsatellite instable (MSI) and tumor mutation burden (TMB) high tumors. These targets are also present in lung cancer, and we have clinical proof of the activity of treatments. In addition, the molecular targets of many targeted therapies registered in other tumor types occur in lung cancer for target-based tissue-agnostic therapy planning in lung cancer.

[Development and national rollout of electronic decision support systems using artificial intelligence in the field of onco-hematology]. / Mesterséges intelligenciát is alkalmazó elektronikus onkohematológiai döntéstámogató rendszerek fejlesztése és országos kiterjesztésû bevezetése.

Systematic, structured and longitudinal collection of realtime Big Patient Data and the analysis of aggregated diagnostic, therapeutic and therapy response data of onco-hematologic patients leads to the development of nationwide dynamic disease registries providing a platform for medical, health industrial and data science research, hospital and health insurance cost analysis, measurement of innovative diagnostics and therapeutics performance, evaluation of compassion-based treatments and general support for insurance and health policy decisions. First in Hungary, we developed a complex computerized case management, data collection, processing, and analysis program (OncoGenomic) and a self-learning artificial intelligence (AI) precision medicine decision support application (Oncompass Calculator) that organize basic research (R), applied research and development (R and D) and innovation (I) under a common umbrella. These progams support the national dynamic hematologic disease registry. Exchange of data through the Electronic Health Service Space (EESZT) supports equal opportunity access of patients to innovative diagnostics and therapy.

Novel Crizotinib-GnRH Conjugates Revealed the Significance of Lysosomal Trapping in GnRH-Based Drug Delivery Systems.

Several promising anti-cancer drug-GnRH (gonadotropin-releasing hormone) conjugates have been developed in the last two decades, although none of them have been approved for clinical use yet. Crizotinib is an effective multi-target kinase inhibitor, approved against anaplastic lymphoma kinase (ALK)- or ROS proto-oncogene 1 (ROS-1)-positive non-small cell lung carcinoma (NSCLC); however, its application is accompanied by serious side effects. In order to deliver crizotinib selectively into the tumor cells, we synthesized novel crizotinib analogues and conjugated them to a [d-Lys6]-GnRH-I targeting peptide. Our most prominent crizotinib-GnRH conjugates, the amide-bond-containing [d-Lys6(crizotinib*)]-GnRH-I and the ester-bond-containing [d-Lys6(MJ55*)]-GnRH-I, were able to bind to GnRH-receptor (GnRHR) and exert a potent c-Met kinase inhibitory effect. The efficacy of compounds was tested on the MET-amplified and GnRHR-expressing EBC-1 NSCLC cells. In vitro pharmacological profiling led to the conclusion that that crizotinib-GnRH conjugates are transported directly into lysosomes, where the membrane permeability of crizotinib is diminished. As a consequence of GnRHR-mediated endocytosis, GnRH-conjugated crizotinib bypasses its molecular targets-the ATP-binding site of RTKs- and is sequestered in the lysosomes. These results explained the lower efficacy of crizotinib-GnRH conjugates in EBC-1 cells, and led to the conclusion that drug escape from the lysosomes is a major challenge in the development of clinically relevant anti-cancer drug-GnRH conjugates.

The Potential Impact of Connexin 43 Expression on Bcl-2 Protein Level and Taxane Sensitivity in Head and Neck Cancers-In Vitro Studies.

The poor prognosis of head and neck squamous cell carcinoma (HNSCC) is partly due to the lack of reliable predictive markers. Connexin 43 (Cx43) protein and its cell-communication channels have been assigned tumor suppressor functions while the anti-apoptotic Bcl-2 (B-cell lymphoma-2) protein has been associated with negative prognostic significance in cancer. This study aimed to test the role of Cx43 protein on Bcl-2 expression, tumor progression and response to taxane-based treatment in HNSCC. Human papillomavirus (HPV) negative HNSCC cell lines were tested for paclitaxel sensitivity through measuring apoptosis induction, cell viability and changes in Cx43 and Bcl-2 levels using flow cytometry, cell viability assay, immunocytochemistry and western blot. Inhibition of Cx43 expression using siRNA increased Bcl-2 protein levels in SCC25 (tongue squamous cell carcinoma) cells, while forced Cx43 expression reduced Bcl-2 levels and supported paclitaxel cytotoxicity in FaDu (hypopharynx squamous cell carcinoma) cells. In vitro results were in line with protein expression and clinicopathological features tested in tissue microarray samples of HNSCC patients. Our data demonstrate that elevated Cx43 and reduced Bcl-2 levels may indicate HNSCC sensitivity to taxane-based treatments. On the contrary, silencing of the Cx43 gene GJA1 (gap junction protein alpha-1) can result in increased Bcl-2 expression and reduced paclitaxel efficiency. Clinical tumor-based analysis also confirmed the inverse correlation between Cx43 and Bcl-2 expression.

Targeted drug combination therapy design based on driver genes.

Targeted therapies against cancer types with more than one driver gene hold bright but elusive promise, since approved drugs are not available for all driver mutations and monotherapies often result in resistance. Targeting multiple driver genes in different pathways at the same time may provide an impact extensive enough to fight resistance. Our goal was to find synergistic drug combinations based on the availability of targeted drugs and their biological activity profiles and created an associated compound library based on driver gene-related protein targets. In this study, we would like to show that driver gene pattern based customized combination therapies are more effective than monotherapies on six cell lines and patient-derived primary cell cultures. We tested 55-102 drug combinations targeting driver genes and driver pathways for each cell line and found 25-85% of these combinations highly synergistic. Blocking 2-5 cancer pathways using only 2-3 targeted drugs was sufficient to reach high rates of tumor cell eradication at remarkably low concentrations. Our results demonstrate that the efficiency of cancer treatment may be significantly improved by combining drugs against multiple tumor specific drivers.

Molecular subtype specific efficacy of MEK inhibitors in pancreatic cancers.

Pancreatic cancer is an increasing cause of cancer related death worldwide. KRAS is the dominant oncogene in this cancer type and molecular rationale would indicate, that inhibitors of the downstream target MEK could be appropriate targeted agents, but clinical trials have failed so far to achieve statistically significant benefit in unselected patients. We aimed to identify predictive molecular biomarkers that can help to define subgroups where MEK inhibitors might be beneficial alone or in combination. Next-generation sequencing data of 50 genes in three pancreatic cancer cell lines (MiaPaCa2, BxPC3 and Panc1) were analyzed and compared to the molecular profile of 138 clinical pancreatic cancer samples to identify the molecular subtypes of pancreatic cancer these cell lines represent. Luminescent cell viability assay was used to determine the sensitivity of cell lines to kinase inhibitors. Western blot was used to analyze the pathway activity of the examined cell lines. According to our cell viability and pathway activity data on these model cell lines only cells harboring the rare G12C KRAS mutation and low EGFR expression are sensitive to single MEK inhibitor (trametinib) treatment. The common G12D KRAS mutation leads to elevated baseline Akt activity, thus treatment with single MEK inhibitors fails. However, combination of MEK and Akt inhibitors are synergistic in this case. In case of wild-type KRAS and high EGFR expression MEK inhibitor induced Akt phosphorylation leads to trametinib resistance which necessitates for MEK and EGFR or Akt inhibitor combination treatment. In all we provide strong preclinical rational and possible molecular mechanism to revisit MEK inhibitor therapy in pancreatic cancer in both monotherapy and combination, based on molecular profile analysis of pancreatic cancer samples and cell lines. According to our most remarkable finding, a small subgroup of patients with G12C KRAS mutation may still benefit from MEK inhibitor monotherapy.

Combined dabrafenib and trametinib treatment in a case of chemotherapy-refractory extrahepatic BRAF V600E mutant cholangiocarcinoma: dramatic clinical and radiological response with a confusing synchronic new liver lesion.

Since the prognosis of advanced cholangiocarcinoma (CCA) remains poor with traditional chemotherapy, attention has shifted to molecularly targeted agents. Results of available clinical studies reveal little or no benefit of using targeted agents in advanced CCA. Limitations of these trials could be the lack of comprehensive molecular and genetic characterization of CCA samples in order to identify potential drug targets. Here we report a case of a 59-year-old female with chemotherapy-refractor, metastatic extrahepatic cholangiocarcinoma (EHCCA). After failure of first-line chemotherapy with cisplatin plus gemcitabine, next generation sequencing (NGS) based tumor molecular profiling was performed on aspiration cytological sample, that revealed BRAF V600E mutation. Multidisciplinary team decided on the initiation of combined treatment with BRAF and MEK inhibitors. Dabrafenib was started orally 150 mg twice a day, adding trametinib 2 mg once a day. Right from the initiation of targeted therapy, significant clinical improvement had been observed. Even though the first restaging computed tomography (CT) scan at 8 weeks revealed spectacular decrease in all metastatic sites, a new hepatic mass of 67 mm × 40 mm was identified and interpreted as new metastatic lesion. As the clinical and radiological response was contradictory, CT-guided biopsy was taken from the hepatic lesion while the therapy was continued on. Histopathologic evaluation excluded the hepatic lesion from being a metastasis, instead described it as a fibrotic, inflammatory lesion. At 12 week, PET CT confirmed further tumor regression with complete regression of the multiple cerebral metastases. The therapy has been extremely well tolerated by the patient. According to our knowledge, this is the first reported case on a successful treatment of EHCCA with the combination of dabrafenib and trametinib. Our case highlights the importance of molecular profiling in CCA, in order to find potential actionable driver mutations for personalised treatment.

p16INK4 expression is of prognostic and predictive value in oropharyngeal cancers independent of human papillomavirus status: a Hungarian study.

Head and neck cancer treatment protocols still lack well-established biomarkers of prognostic and predictive value. It is well known that human papillomavirus (HPV)-related and non-HPV-related oropharyngeal cancers are distinct entities concerning tumor biology and clinical outcome. However, there is an ongoing debate whether tumor suppressor p16INK4 status alone or both p16INK4 and HPV detection should be used in clinical settings. The aim of this study was to investigate p16INK4-immunolabelled and HPV-induced rates and determine their clinical significance in 110 primary head and neck squamous cell carcinomas. The expression of p16INK4 protein was assessed with immunohistochemistry, while high-risk HPV detection was performed using DNA PCR method. P16INK4 immunolabelling was detected in 17.3% of all tumor samples, and in 38.1% of oropharyngeal malignancies. Oropharyngeal, p16INK4-immunolabelled tumors showed an improved disease-specific survival compared to the non-p16INK4-immunolabelled group (median survival: 30.3 vs. 8.8 months, p < 0.001 with the log-rank test). Furthermore, 56% of p16INK4-immunolabelled cases were tested positive for HPV-DNA. The HPV-induced group presented better disease-specific survival compared to the non-HPV-induced cases (median survival: 25.9 vs. 9.5 months, p = 0.024 with the log-rank test). Improved response rates to neoadjuvant chemotherapy were observed both in p16INK4-immunolabelled and p16INK4- immunolabelled/HPV DNA- containing groups (Fisher's exact test: p = 0.025 and p = 0.009). In conclusion, p16INK4 immunohistochemistry proved to be a reliable and affordable tool for prognostic and predictive testing of head and neck squamous cell cancers. The p16INK4 immunopositivity status alone was confirmed to be an equally precise indicator of clinical outcome as p16INK4/HPV DNA PCR double testing.

Copy number gain of PIK3CA and MET is associated with poor prognosis in head and neck squamous cell carcinoma.

The incidence of head and neck squamous cell carcinomas is still growing, and the long-term prognosis of advanced disease remains poor. Only a fraction of head and neck cancers are sensitive to the EGFR-inhibitor cetuximab, which is the only registered targeted therapy available today. In several cancers, gene copy number alterations of MET and PIK3CA have been found to be prognostic and predictive for therapy response. The aim of this study was to systematically analyze in head and neck cancers the pathological characteristics and prognostic significance of copy number changes of MET and PIK3CA genes. MET and PIK3CA copy numbers were analyzed by fluorescence in situ hybridization in tumor samples of 152 patients. Expression of EGFR, p16, and Ki67 was studied by immunohistochemistry. High polysomy of PIK3CA (chromosome 3) was found in 20 % of cases and amplification in 4.5 %. Regarding MET, 35 % of cases showed low or high polysomy of the gene (chromosome 7), while no intra-chromosomal amplification of MET was detected. PIK3CA copy number gain (high polysomy or amplification) was significantly associated with shorter disease-specific survival, larger tumor volume, and lower p16 expression. MET copy number gain (low or high polysomy) in tumors was significantly associated with shorter disease-specific survival and lower level of EGFR. PIK3CA and MET may play an important role in oncogenesis of certain specific subtypes of head and neck cancer. There is an urgent need for the development of novel targeted therapies against these tumors associated with poor prognosis.

The Potential Prognostic Value of Connexin 43 Expression in Head and Neck Squamous Cell Carcinomas.

Gap juctions are transmembrane communication channels known to be involved in the control of cell proliferation by mediating the exchange of ions and small molecules between cells. Gap junctions are composed of connexon hemichannels made up of 6 connexin proteins, which abnormal expression and functions have been linked to tumor progression and poorer prognosis. Here, we studied the prognostic impact of the most prevalent connexin isotype, connexin 43 (Cx43) in head and neck squamous cell carcinomas (HNSCC). Tissue microarrays made from tumor samples of 90 HNSCC patients were immunostained for Cx43 and cell cycle regulation-related biomarkers including p53, Ki67, p16, aurora A, geminin, and p21 proteins. Scoring and histopathologic evaluation were performed in digital slides. A 4-tier scoring distinguishing the percentage of positively stained tumor cells was used including score 1: <5%, score 2: 6% to 20%, score 3: 21% to 60%, and score 4: >60%. For statistics, Kaplan-Meier curves with log-rank tests, Cox-regression, and Pearson χ/Fisher exact tests were used.A significant positive correlation was found between Cx43 expression and disease-specific survival of patients (P=0.004). The rate of p21 protein-positive tumor cells also proved to be a significant positive prognostic marker (P=0.014). Cx43 levels also showed a significant positive correlation with p53 expression (P=0.036). However, there was no statistical association between Cx43 levels and the rest of the markers tested neither with T, N, or M stage.In conclusion, our data suggest that reduced Cx43 expression and low p21 protein levels may have a significant negative impact on HNSCC prognosis.

Evaluation of the good tumor response of embryonal tumor with abundant neuropil and true rosettes (ETANTR).

The embryonal tumor with abundant neuropil and true rosettes is a rare and highly malignant variant of embryonal brain tumors. It usually affects infants and young children under the age of 4 years and exhibits a very aggressive course with a dismal prognosis. For the 68 cases reported to date the mean age at diagnosis was 25.42 months (range 3-57 months). Survival data are available for 48 children (including our case): the median overall survival is 13.0 months, though 6 (9%) of the children have had a relative long survival (>30 months). The aggressive combined treatment, involving primary surgical tumor removal, adjuvant polychemotherapy, including high-dose chemotherapy with stem cell transplantation, radiotherapy and radiochemotherapy, might play an important role in the longer survival. We have performed a literature review and we present here a multimodal-treated case of a 2- year-old girl with a long survival, who was reoperated when recurrence occurred. The residual tumor demonstrated a good response to temozolomide radiochemotherapy (craniospinal axis + boost) and followed by maintenance temozolomide. The described complex aggressive treatment option might be considered for future cases of this tumor entity.

MDR-1 and MRP-1 activity in peripheral blood leukocytes of rheumatoid arthritis patients.

BACKGROUND: Rheumatoid Arthritis is a chronic disease leading to decreased quality of life with a rather variable response rate to Disease Modifying Anti Rheumatic Drugs. Methotrexate (MTX) is the gold standard therapy in Rheumatoid Arthritis. The Multidrug resistance Related Protein and Multi Drug Resistance protein 1, also called P-glycoprotein-170 transporters can alter the intracellular concentration of different drugs. Methotrexate is an MRP1 substrate and thus the functional activity of MRP1 might have a clinical impact on the efficiency of the Methotrexate-therapy in Rheumatoid Arthritis. METHODS: We have compared the functional Multidrug Activity Factors (MAF) of the MDR1 and MRP1 transporters of Peripheral Blood Leukocytes of 59 Rheumatoid Arthritis patients with various response rate to MTX-therapy (MTX-responder, MTX-resistant and MTX-intolerant RA-groups) and 47 non-RA controls in six different leukocyte subpopulations (neutrophil leukocytes, monocytes, lymphocytes, CD4+, CD8+ and CD19+ cells). There was a decreased MAF of RA patients compared to non- Rheumatoid Arthritis patients and healthy controls in the leukocyte subpopulations. There was a significant difference between the MAF values of the MTX-responder and MTX intolerant groups. But we have not found significant differences between the MAF values of the MTX-responder and MTX-resistant Rheumatoid Arthritis -groups. RESULTS: Our results suggest that MDR1 and MRP1 functional activity does not seem to affect the response rate to MTX-therapy of Rheumatoid Arthritis-patients, but it might be useful in predicting MTX-side effects. We have demonstrated the decreased functional MDR-activity on almost 60 Rheumatoid Arthritis patients, which can be interpreted as a sign of the immune-suppressive effect of the MTX-treatment.

Decreased functional activity of multidrug resistance protein in primary colorectal cancer.

BACKGROUND: The ATP-Binding Cassette (ABC)-transporter MultiDrug Resistance Protein 1 (MDR1) and Multidrug Resistance Related Protein 1 (MRP1) are expressed on the surface of enterocytes, which has led to the belief that these high capacity transporters are responsible for modulating chemosensitvity of colorectal cancer. Several immunohistochemistry and reverse transcription polymerase chain reaction (RT-PCR) studies have provided controversial results in regards to the expression levels of these two ABC-transporters in colorectal cancer. Our study was designed to determine the yet uninvestigated functional activity of MDR1 and MRP1 transporters in normal human enterocytes compared to colorectal cancer cells from surgical biopsies. METHODS: 100 colorectal cancer and 28 adjacent healthy mucosa samples were obtained by intraoperative surgical sampling. Activity of MDR1 and MRP1 of viable epithelial and cancer cells were determined separately with the modified calcein-assay for multidrug resistance activity and sufficient data of 73 cancer and 11 healthy mucosa was analyzed statistically. RESULTS: Significantly decreased mean MDR1 activity was found in primary colorectal cancer samples compared to normal mucosa, while mean MRP1 activity showed no significant change. Functional activity was not affected by gender, age, stage or grade and localization of the tumor. CONCLUSION: We found lower MDR activity in cancer cells versus adjacent, apparently, healthy control tissue, thus, contrary to general belief, MDR activity seems not to play a major role in primary drug resistance, but might rather explain preferential/selective activity of Irinotecan and/or Oxaliplatin. Still, this picture might be more complex since chemotherapy by itself might alter MDR activity, and furthermore, today limited data is available about MDR activity of cancer stem cells in colorectal cancers. VIRTUAL SLIDES: The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/1675739129145824.