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.

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.

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.

[Development and biochemical characterization of EGFR/c-Met dual inhibitors]. / EGFR/c-Met kettosgátlók fejlesztése és biokémiai vizsgálata.

The epidermal growth factor receptor (EGFR) family has been well-known for more than ten years as the target of non-small lung carcinoma (NSCLC) which is one of the leading cause of mortality among the cancer types. The receptor tyrosine kinase inhibitors (gefitinib, erlotinib, lapatinib) which have been applied in the therapy, are not able to inhibit the progression of this disease perfectly because of resistance. It has been demonstrated that the amplification of mesenchymal-epithelial transition factor (c-Met) or secondary mutation of EGFR kinase causes the resistance against EGFR inhibitors in 18-20 percent of the cases. Clinical candidates inhibiting both of EGFR and c-Met kinases are unknown in the literature. We have developed quinoline-based inhibitors in our research project, which inhibit both kinases in submicromolar range in enzymatic assays, moreover we have demonstrated by western blot analysis that these compounds inhibit the autophosphorylation in vivo. The binding of the effective compounds was examined by in silico and docking simulations.

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.

[EGFR tyrosine kinase inhibitors in lung cancer management: sensitivity and resistance]. / EGFR-tirozinkináz-inhibitorok alkalmazása tüdõrákban: szenzitivitás és rezisztencia.

Tailored therapy in lung cancer is one of the most exciting fields in translational research and also a nice example of fruitful collaboration between pulmonologists, clinical oncologists, pathologists and molecular biologists. This article, through a dialogue between a pathologist-clinician and a molecular biologist-pharmacologist, gives an overview about the most important questions on molecular targeted therapy in clinical practice, especially, EGFR-TKI treatment, EGFR activating mutations, as well as primary and acquired resistance.

Epidermal growth factor receptor signalling contributes to osteoblastic stromal cell proliferation, osteoclastogenesis and disease progression in giant cell tumour of bone.

AIMS: Epidermal growth factor receptor (EGFR) is implicated in bone remodelling. The aim was to determine whether EGFR protein expression contributes to the aggressiveness and recurrence potential of giant cell tumour of bone (GCTB), an osteolytic primary bone tumour that can exhibit markedly variable clinical behaviour. METHODS AND RESULTS: Immunohistochemical analysis on tissue microarrays (TMA) of 231 primary, 97 recurrent, 17 metastatic and 26 malignant GCTBs was performed using TMA analysis software and whole digital slides allowing validated scoring. EGFR expression was restricted to neoplastic stromal cells and was significantly more frequent in recurrent (71 of 92; 77%) than in non-recurrent GCTBs (86 of 162; 53%) (P = 0.002); and in clinicoradiologically aggressive (31 of 43; 72%) than latent (27 of 54; 50%) cases (P = 0.034). Detecting phosphotyrosine epitopes pY1068 and -pY1173 indicated active EGFR signalling, and finding EGFR ligands EGF and transforming growth factor-α restricted to cells of the monocytic lineage suggested paracrine EGFR activation in stromal cells. In functional studies EGF supported proliferation of GCTB stromal cells, and the addition of EGF and macrophage-colony stimulating factor promoted osteoclastogenesis. CONCLUSION: In GCTB, EGFR signalling in neoplastic stromal cells may contribute to disease progression through promoting stromal cell proliferation and osteoclastogenesis.

ROR1 expression is not a unique marker of CLL.

Recent studies have identified receptor tyrosine kinase-like orphan receptor 1 (ROR1) on the surface of chronic lymphoid leukaemia (CLL) cells. In order to determine whether ROR1 expression is a suitable surrogate marker for the diagnosis of CLL we analysed the mRNA level of ROR1 in different types of non-Hodgkin lymphomas (NHL), and detected elevated levels of ROR1 compared to control peripheral mononuclear cells in several entities (CLL ≥ mantle cell lymphoma (MCL) > marginal zone lymphoma (MZL) >> diffuse large B-cell lymphoma > follicular lymphoma). ROR1 protein was expressed intensely on the cell surface of lymphoma cells with leukaemic blood count detected by three colour immunofluorescence. Our results indicate that ROR1 expression is not limited to CLL cases, but it is more prevalent in NHLs, mainly in MCL where it is expressed intensely and MZL where it is expressed moderately, suggesting a general role of ROR1 in lymphoma genesis and/or maintenance. Copyright © 2010 John Wiley & Sons, Ltd.

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.

[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.

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.

[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.

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.

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.

Cystein cathepsin and Hsp90 activities determine the balance between apoptotic and necrotic cell death pathways in caspase-compromised U937 cells.

Caspase-inhibited cells induced to die may exhibit the traits of either apoptosis or necrosis or both, simultaneously. However, mechanisms regulating the commitment to these distinct forms of cell death are barely identified. We found that staurosporine induced both apoptotic and necrotic traits in U937 cells exposed to the caspase inhibitor benzyloxycarbonyl-Val-Ala-DL-Asp(OMe)-fluoromethylketone. Morphology and flow cytometry revealed that individual cells exhibited either apoptotic or necrotic traits, but not the mixed phenotype. Inhibition of cathepsin activity by benzyloxycarbonyl-Phe-Ala-fluoromethylketone rendered caspase-compromised cells resistant to staurosporine-induced apoptosis, but switched the cell death form to necrosis. Inhibition of heat shock protein 90 kDa (Hsp90) chaperon activity by geldanamycin conferred resistance to necrosis in caspase-compromised cells but switched the cell death form to apoptosis. Combination of benzyloxycarbonyl-Phe-Ala-fluoromethylketone and geldanamycin halted the onset of both forms of cell death by saving mitochondrial trans-membrane potential and preventing acidic volume (lysosomes) loss. These effects of benzyloxycarbonyl-Phe-Ala-fluoromethylketone and/or geldanamycin on cell death were restricted to caspase-inhibited cells exposed to staurosporine but influenced neither only the staurosporine-provoked apoptosis nor hydrogen peroxide (H2O2)-generated necrosis. Our results demonstrate that the staurosporine-induced death pathway bifurcates in caspase-compromised cells and commitment to apoptotic or necrotic phenotypes depends on cathepsin protease or Hsp90 chaperon activities.

Epidermal growth factor receptor (EGFR) high gene copy number and activating mutations in lung adenocarcinomas are not consistently accompanied by positivity for EGFR protein by standard immunohistochemistry.

The purpose of this study was to investigate whether detectable protein biomarker overexpression is a prerequisite for the presence of increased gene copy number or activating mutations and responsiveness to the epidermal growth factor receptor (EGFR) inhibitors gefitinib and erlotinib in patients with lung adenocarcinomas. EGFR status was prospectively analyzed in tumor biopsy samples by three methods: protein expression (n = 117) by standardized immunohistochemistry (IHC), gene copy number (n = 97) by fluorescent in situ hybridization (FISH), and mutation analysis by sequencing (n = 126). Fifty-nine percent of the samples were positive by IHC, 40% were positive by FISH, and 13.5% contained activating kinase domain mutations. Thirty-four percent of the FISH-positive and 27% of the mutant samples were also IHC-negative. All EGFR mutant patients had major clinical responses (five complete response and five partial response) to gefitinib or erlotinib treatment, although three of these tumors were IHC-negative and four were FISH-negative. In a retrospective analysis of samples from nine patients with excellent therapeutic responses (three complete response, five partial response, one stable disease) to erlotinib or gefitinib, mutations were identified in eight cases, but IHC was negative in four of these tumors. These results indicate that molecular diagnostic methods appear to be most important for the identification of lung adenocarcinoma patients who may benefit from EGFR inhibitor treatments.

Synthesis and characterization of novel quinazoline type inhibitors for mutant and wild-type EGFR and RICK kinases.

The development of selective protein kinase inhibitors has become an important area of drug discovery for the treatment of different diseases. We report the synthesis and characterization of a series of novel quinazoline derivatives against three therapeutically important and pharmacologically related kinases: 1) epidermal growth factor receptor (EGFR; wild type and mutant) in the field of cancer, 2) receptor-interacting caspase-like apoptosis-regulatory kinase (RICK) in the field of inflammation, and 3) pUL97 of human cytomegalovirus (HCMV). For reference purpose we have synthesized the four clinically relevant quinazolines, including the lead compounds, which we previously identified for RICK and pUL97. A total of 52 quinazoline derivatives were synthesized and tested on the basis of these leads to specifically target the hydrophobic pocket of the ATP-binding site. Selected compounds were tested on wild-type and mutant forms of EGFR, RICK, and pUL97 kinases; their logP and logS values for assessing suitability as drugs were calculated and hit or lead compounds identified.

Functional evaluation of multidrug resistance transporter activity in surgical samples of solid tumors.

Determination of multidrug resistance (MDR) activity of tumor cells could provide important information for the personalized therapy of cancer patients. The functional calcein assay (MultiDrug Quant Assay, Solvo Biotechnology, Budaörs, Hungary) has been proven to be clinically valuable in hematological malignancies by determining the transporter activity of MDR protein 1 (MDR1, ATP-binding cassette protein [ABC] B1, P-glycoprotein-170) and MDR-related protein 1 (MRP1, ABCC1). In this study, we evaluated if the same functional test was adaptable for the analysis of MDR activity in solid tumors. For this purpose, tissue specimens of human colorectal cancer samples were subjected to limited enzymatic digestion by collagenase to provide a single-cell suspension; dead cells were excluded by 7-aminoactinomycin D staining, and epithelial cancer cells were detected by Cy5-conjugated anti-BerEP4 monoclonal antibody. The transporter functions of MDR1 and MRP1 in viable epithelial cells were assessed by flow cytometry detecting the intracellular accumulation of calcein dye after exposing cells to various MDR inhibitors. Collagenase disintegration preserved the MDR activity and the antigenicity of tumor cells. Thus using the extended calcein assay provided sufficient viable and functionally active tumor cells from surgical biopsies to determine the functional MDR activity. In conclusion, the newly described modified calcein assay may be applicable for evaluating the MDR phenotype in solid tissue specimens from colorectal forceps biopsy to surgical samples.