Epidermal growth factor: Characteristics of specific binding in membranes from liver,placenta, and other target tissues

Epidermal growth factor, a 6,400-dalton polypeptide from the mouse submaxillary gland, binds specifically to cells and membranes derived from a variety of human, rat, mouse, and bovine tissues. Liver, placenta, skin, cornea, and cultured chondrocytes, Hela cells, and Chang liver cells bind large amounts of epidermal growth factor, whereas fat cells, resting and lectin-stimulated human peripheral lymphocytes, mouse thymocytes, cultured rat hepatoma cells, and mammary cells from virgin and pregnant mice bind little or no epidermal growth factor. The binding site for epidermal growth factor is distinct from receptors for other anabolic peptides such as insulin, nerve growth factor, and growth hormone. The binding of epidermal growth factor is rapid and reversible. The rate constant of association is approximately 10⁶ mole^?1 sec^?1, the rate constant of dissociation is about 6 × 10^?4 sec^?1, and the apparent equilibrium dissociation constant is about 10^?9m. Trypsin at low concentrations (50–200 μg/ml) destroys the receptor site for epidermal growth factor. The binding of epidermal growth factor by membranes is not accompanied by appreciable degradation of the peptide present in the medium or of that bound to the membranes. Use can be made of the high affinity and specificity of membranes for epidermal growth factor to measure by a competitive binding assay as little as 200 pg of EGF per ml (3 × 10^?11m).     

Retention of Ca2+ by rat liver and rat heart mitochondria: Effect of phosphate,Mg2+, and NAD(P) redox state

Parallel measurements of Ca²⁺ uptake, oxygen consumption, endogenous Mg²⁺ efflux, and swelling in rotenone-poisoned rat liver and rat heart mitochondria showed that heart mitochondria is much more resistant to uncoupling by Ca²⁺ in the presence of phosphate than rat liver mitochondria. The extent of Mg²⁺ efflux and swelling induced by Ca²⁺ accumulation are much less pronounced in heart mitochondria. Uncoupling and swelling in liver mitochondria seem to result from the loss of membrane-bound Mg²⁺ as a consequence of Ca²⁺ recycling across the membrane as induced by phosphate. Exogenous Mg²⁺ protects liver mitochondria against the deleterious effects of Ca²⁺ by inhibiting a ruthenium red-insensitive Ca²⁺ efflux induced by phosphate. Phosphate does not induce recycling of Ca²⁺ in heart mitochondria. On the other hand, heart mitochondria respiring on NAD-linked substrates or with succinate in the absence of rotenone behave like liver mitochondria with respect to the alterations caused by Ca²⁺ recycling. In heart mitochondria the recycling of Ca²⁺ is related to the redox state of pyridine nucleotides, which suggests that the ruthenium red-insensitive efflux of Ca²⁺ is subject to metabolic control. In addition it has been observed that Sr²⁺does not undergo cyclic movements across the membrane. The data indicate that the efflux pathway is more specific for Ca²⁺ than the ruthenium red-sensitive influx transporter.     

The utilization of bromodeoxyuridine incorporation into DNA for the analysis of cellular kinetics

Recently developed differential staining techniques based on the incorporation of bromodeoxyuridine (BUdR) into DNA permits the unequivocal identification of metaphase cells which have replicated once, twice, and three or more times. This technique has the potential of being utilized in the examination of kinetics of dividing cell populations. This potential is examined in a phytohemagglutinin-stimulated lymphocyte system. Determinations of the effect of increasing concentrations of BUdR on the distribution of metaphase cells between different generation cycles reveals no inhibition of cellular kinetics below 35 μM. The ability to distinguish third generation metaphase cells from subsequent generations is examined through the determination of “labelled” centromeric regions. The applicability of this system to current cellular kinetics is discussed.     

Isolation of Stem-Like Cancer Cells in Primary Endometrial Cancer Using Cell Surface Markers CD133 and CXCR4

Endometrial cancer (EC) is the most common familiar gynecologic malignant tumor identified in the female reproductive system and has been increasing yearly. In this study, we will identify the surface markers and stem cell markers related with cancer stem cells (CSCs) of EC. Tissue samples were obtained from endometrial cancer patients during surgical procedures. Single cells were isolated from the tissues for culturing, transfection into nude mice, and histopathology analysis. RT-PCR demonstrated that the cultured cells strongly expressed stemness-related genes, such as c-Myc, Sox-2, Nanog, Oct 4A, ABCG2, BMI-1, CK-18, Nestin and β-actin. The expression of surface markers CD24, CD133, CD47, CD29, CD44, CXCR4, SSEA3 and SSEA4, CD24, and CD133 and chemokine markers such as CXCR4 were measured by flow cytometry. Then the double percentage of CD133+CXCR4+ cells constituted 7.2% and 9.3% in EC cells originated from two different patients, respectively. The CD133+CXCR4+ primary endometrial cancer cells grew faster, exhibited high expression of mRNA of stemness-related genes, produced more spheres, and had higher clonogenic ability than other subpopulations. They are also more resistant to anti-cancer drugs than other subpopulations. These findings indicate that CD133+CXCR4+ cells may possess some characteristics of CSCs in primary endometrial cancer. These cell surface markers may be useful for the development of drugs against CSC molecular targets or as a predictive marker for poor prognosis in primary endometrial cancer.     

Coordination chemistry of 7,9-disubstituted 6-oxopurine metal compounds. 4. Platinum(II) coordination at N(1). Molecular and crystal structure of [(ethylenediamine)bis(7,9-dimethylhypoxanthine)platinum(II)] hexafluorophosphate

The preparation and molecular and crystal structure of the complex [(ethylenediamine)bis(7,9,-dimethylhypoxanthine)platinum(II)] hexafluorophosphate, [Pt(C₂H₈N₂)(C₇H₈N₄O)₂] (PF₆)₂, are reported. The complex crystallizes in the monoclinic system, space group C2/c, with a = 12.334(2)Å, b = 10.256(2)Å, c = 22.339(3)Å, β = 101.31(1)°, V = 2771.0ų, Z = 4, D_measd = 2.087(3) g cm^?3, D_calc = 2.094 g cm^?3. Intensities for 3992 symmetry-averaged reflections were collected in the θ-2o scan mode on an automated diffractometer employing graphite-monochromatized MoKα radiation. The structure was solved by standard heavy-atom Patterson and Fourier methods. Full matrix least-squares refinement led to a final R value of 0.051. Both the ethylenediamine chelate and the PF₆^? anion are disordered. The primary coordination sphere about the Pt(II) center is approximately square planar with the bidentate ethylenediamine ligand and the N(1) atoms [Pt(II) ? N(1) = 2.020(5)Å] of two 7,9-dimethylhypoxanthine bases (related by a crystallographic twofold axis of symmetry) occupying the four coordination sites. The exocyclic O(6) carbonyl oxygen atoms of the two 7,9-dimethylhypoxanthine ligands participate in intracomplex hydrogen bonding with the amino groups of the ethylenediamine chelate [N(ethylenediamine) ? O(6) = 2.89( )Å]. The observed Pt ? O(6) intramolecular distances of 3.074(6)Å are similar to those found in other Pt(II) N(1)-bound 6-oxopurine complexes and in several Pt(II) N(3)-bound cytosine systems.     

A Prediction Model Based on Biomarkers and Clinical Characteristics for Detection of Lung Cancer in Pulmonary Nodules

Lung cancer early detection by low-dose computed tomography (LDCT) can reduce the mortality. However, LDCT increases the number of indeterminate pulmonary nodules (PNs), whereas 95% of the PNs are ultimately false positives. Modalities for specifically distinguishing between malignant and benign PNs are urgently needed. We previously identified a panel of peripheral blood mononucleated cell (PBMC)-miRNA (miRs-19b-3p and -29b-3p) biomarkers for lung cancer. This study aimed to evaluate efficacy of integrating biomarkers and clinical and radiological characteristics of smokers for differentiating malignant from benign PNs. We analyzed expression of 2 miRNAs (miRs-19b-3p and -29b-3p) in PBMCs of a training set of 137 individuals with PNs. We used multivariate logistic regression analysis to develop a prediction model based on the biomarkers, radiographic features of PNs, and clinical characteristics of smokers for identifying malignant PNs. The performance of the prediction model was validated in a testing set of 111 subjects with PNs. A prediction model comprising the two biomarkers, spiculation of PNs and smoking pack-year, was developed that had 0.91 area under the curve of the receiver operating characteristic for distinguishing malignant from benign PNs. The prediction model yielded higher sensitivity (80.3% vs 72.6%) and specificity (89.4% vs 81.9%) compared with the biomarkers used alone (all P < .05). The performance of the prediction model for malignant PNs was confirmed in the validation set. We have for the first time demonstrated that the integration of biomarkers and clinical and radiological characteristics could efficiently identify lung cancer among indeterminate PNs.     

Lack of expression of micronuclear genes determining two different enzymatic activities in Tetrahymena thermophila

Abstract. Several (albeit indirect) lines of evidence indicate that the 2n germline micronucleus of the ciliate protozoans is not expressed during vegetative growth, even though it resides in the same cytoplasm and in close physical proximity to the actively expressed large somatic macronucleus (45n). To test this hypothesis more directly and quantitatively at the level of biochemically assayable specific enzyme activities, special heterokaryon strains of Tetrahymena thermophila have been constructed which carry the wild-type alleles specifying galactokinase ( galA ⁺) and phenylalanine hydroxylase ( tyrC ⁺) in the micronucleus only. The heterokaryons were assayed for these two enzyme activities using in vitro radiometric assays. No galactokinase or phenylalanine hydroxylase attributable to the micronuclear genes was observed in such heterokaryons. These results extend the observation of lack of micronuclear gene expression to at least two specific genes, i.e., galA and tyrC , as well as extending previous phenotypic observations on heterokaryons and autoradiographic studies of micronuclear RNA synthesis. By conjugating two of these heterokaryons to each other, it is now possible to determine precisely and unambiguously at what point during macronuclear differentiation the genes in the new macronucleus begin to be actively expressed relative to the timing of the extensive molecular changes that accompany the differentiation of the new macronucleus. These heterokaryons thus provide an excellent model system for the investigation of fundamental genetic regulatory mechanisms in operation during the differentiation of an entire eukaryotic genome.     

Structural changes and fluctuations of proteins. II. Analysis of the denaturation of globular proteins.

The statistical thermodynamic model of protein structure proposed in paper I is developed with special attention to the hydrophobic interaction. Calorimetric measurements of the thermal denaturation of five globular proteins, ribonuclease A, lysozyme, alpha-chymotrypsin, cytochrome c, and myoglobin, are quantitatively analyzed using the model. The thermodynamic parameters obtained by the least squares method reflect the global, average properties of proteins and are in good agreement with the expected values estimated from experimental and theoretical studies for model peptides. The average bond energy epsilon is well related to the tertiary structure of each protein. However, the difference in the parameters between different proteins is not observed for the cooperative energy ZJ and the chain entropy alpha. The individuality of a protein as far as its structural stability is concerned, is mainly reflected by the parameter gamma specifying the hydrophobic nature of a protein. The model is further applied in the analysis of several aspects of the structural stability of globular proteins. Denaturation induced by denaturants, salts, and pH are also explained by the model in a unified manner.     

In vivo and in vitro incorporation of endogenous nucleotides by the energy-transducing ATPase of Streptococcus faecalis

The soluble ATPase isolated from Streptococcus faecalis membranes containing tightly bound endogenous nucleotides do not exchange in the presence of ATP and Mg+2 added during the purification of the enzyme. In this paper the stoichiometry of endogenous nucleotides in the soluble ATPase obtained from (a) growing cells, (b) nongrowing glycolyzing cells, and (c) isolated cell membranes has been defined. The time course of incorporation was also studied in nongrowing, glycolyzing cells and isolated cell membranes. In all cases, 1-2 mol of nucleotide was bound per mol of enzyme. Maximal incorporation required approximately 1 h at 38 degrees C. Incorporation of cytoplasmic nucleotide into the enzyme occurred by a process of slow exchange for bound nucleotide. N,N'-dicyclohexylcarbodiimide, which inhibits the membrane-bound ATPase and prevents generation of the protonmotive force, had no effect on incorporation of endogenous nucleotides in glycolyzing cells. Treatment of glycolyzing cells with gramicidin D plus K+, which dissipates the protonmotive force but has no effect on ATPase activity, did not inhibit incorporation of nucleotide. These results support the view that the slow exchange-incorporation of endogenous nucleotide(s) is independent of ATP hydrolysis and a protonmotive force. An in vitro system for the study of nucleotide binding at endogenous sites is described.     

Chemotherapy and Radiofrequency-Induced Mild Hyperthermia Combined Treatment of Orthotopic Pancreatic Ductal Adenocarcinoma Xenografts

Patients with pancreatic ductal adenocarcinomas (PDAC) have one of the poorest survival rates of all cancers. The main reason for this is related to the unique tumor stroma and poor vascularization of PDAC. As a consequence, chemotherapeutic drugs, such as nab-paclitaxel and gemcitabine, cannot efficiently penetrate into the tumor tissue. Non-invasive radiofrequency (RF) mild hyperthermia treatment was proposed as a synergistic therapy to enhance drug uptake into the tumor by increasing tumor vascular inflow and perfusion, thus, increasing the effect of chemotherapy. RF-induced hyperthermia is a safer and non-invasive technique of tumor heating compared to conventional contact heating procedures. In this study, we investigated the short- and long-term effects (~20 days and 65 days, respectively) of combination chemotherapy and RF hyperthermia in an orthotopic PDAC model in mice. The benefit of nab-paclitaxel and gemcitabine treatment was confirmed in mice; however, the effect of treatment was statistically insignificant in comparison to saline treated mice during long-term observation. The benefit of RF was minimal in the short-term and completely insignificant during long-term observation.     

Hypothesis test for causal explanations in human pathology: evaluation of pulmonary edema in 181 autopsied patients with leukemia

Symbolic logic, as used in the formal theory of scientific explanation proposed by Hempel and Oppenheim, has been suggested as the basis for automated medical diagnosis. In human autopsy pathology the determination of cause-and-effect relationships is a major area subject to logical analysis. We propose a modification of the Hempel-Oppenheim schema in which the logical relationships must only be satisfied “much” of the time, as determined by binomial significance tests. The analysis employs “certainty levels” logic with a more limited consistency requirement than classical logic. The analysis is applied to a series of 181 autopsied patients with leukemia in an attempt to determine a possible role of chemotherapeutic agents in the etiology of pulmonary edema. Among 51 patients who had received cytosine arabinoside (Ara-C) within 30 days of death, there was significantly more unexplained moderate or massive pulmonary edema than among patients with no or remote therapy (p<0.001). The results suggest that a symbolic logical analysis combined with a binomial significance test can elucidate cause-and-effect relationships observed at autopsy, especially when there are multiple possible explanations for the same effect.     

Superior Therapeutic Efficacy of Nanoparticle Albumin Bound Paclitaxel Over Cremophor-Bound Paclitaxel in Experimental Esophageal Adenocarcinoma

Esophageal adenocarcinoma (EAC) is the fastest growing cancer in the western world and the overall 5 year survival rate of EAC is below 20%. Most patients with EAC present with locally advanced or widespread metastatic disease, where current treatment is largely ineffective. Therefore, new therapeutic approaches are urgently needed. Nanoparticle albumin-bound paclitaxel (nab-paclitaxel) is a novel albumin-stabilized, cremophor-free and water soluble nanoparticle formulation of paclitaxel, and the potential role of nab-paclitaxel has not been tested yet in experimental EAC. Here we tested the antiproliferative and antitumor efficacy with survival advantage of nab-paclitaxel as monotherapy and in combinations in in-vitro, and in murine subcutaneous xenograft and peritoneal metastatic survival models of human EAC. Nab-paclitaxel significantly inhibited in-vitro cell proliferation with higher in-vivo antitumour efficacy and survival benefit compared to paclitaxel or carboplatin treatments both in mono- and combination therapies. Nab-paclitaxel treatment increased expression of mitotic-spindle associated phospho-stathmin, decreased expression of proliferative markers and enhanced apoptosis. This study demonstrates that nab-paclitaxel had stronger antiproliferative and antitumor activity in experimental EAC than the current standard chemotherapeutic agents which supports the rationale for its clinical use in EAC.     

Purification of microtubule protein from beef brain and comparison of the assembly requirements for neuronal microtubules isolated from beef and hog.

The polymerization of microtubule protein from beef brain is inefficient under the same conditions which are optimal for the assembly of microtubules isolated from hog brain (0.1 m piperazine-N,N′-bis(2-ethanesulfonic acid) buffer at pH 6.94). In examining the conditions required for microtubule polymerization in both beef brain extract and purified microtuble protein, it was determined that the pH optimum was pH 6.62 or 0.3 pH unit lower than the reported optimum for hog. Other assembly requirements (ionic strength, Mg²⁺ and nucleotide concentration, temperature) remained essentially the same as for hog. By separating and recombining fractions of tubulin and nontubulin components prepared from beef and hog microtubule protein, the requirement for the reduction in pH was found to be due to the tubulin and not to the microtubule-associated proteins. It was also determined that the efficiency of beef tubulin assembly, as measured by the yield of microtubule polymer, decreased rapidly after slaughter with a half-time of 19 min. Furthermore, when the overall efficiency of polymerization was reduced, the extent of assembly at each cycle of purification by disassembly and assembly was also observed to be depressed. The variations in the requirements for neuronal tubulin assembly in two closely related mammals suggest that the conditions required for assembly of microtubule protein in other tissues and cell types may also be different.     

Proving of a Mathematical Model of Cell Calculation Based on Apparent Diffusion Coefficient

OBJECTIVES: Recently, Atuegwu et al. proposed a mathematical model based on ADC_mean and ADC_min to calculation of cellularity. Our purpose was to compare the calculated cellularity according to the formula with the estimated cell count by histopathology in different tumors. METHODS: For this study, we re-analyzed our previous data regarding associations between ADC parameters and histopathological findings. Overall, 134 patients with different tumors were acquired for the analysis. For all tumors, the number of tumor cells was calculated according to Atuegwu et al. 2013. We performed a correlation analysis between the calculated and estimated cellularity. Thereby, Pearson's correlation coefficient was used and P < .05 was taken to indicate statistical significance in all instances. RESULTS: The estimated and calculated cellularity correlated well together in HNSCC (r = 0.701, P = .016) and lymphomas (r = 0.661, P = .001), and moderately in rectal cancer (r = 0.510, P = .036). There were no statistically significant correlations between the estimated and calculated cellularity in uterine cervical cancer, meningiomas, and in thyroid cancer. CONCLUSION: The proposed formula for cellularity calculation does not apply for all tumors. It may be used for HNSCC, cerebral lymphomas and rectal cancer, but not for uterine cervical cancer, meningioma, and thyroid cancer. Furthermore, its usefulness should be proved for other tumors.     

The power of small changes: Comprehensive analyses of microbial dysbiosis in breast cancer

Disparate occurrence of breast cancer remains an intriguing question since only a subset of women with known risk factors develop cancer. Recent studies suggest an active role of local and distant microbiota in breast cancer initiation, progression, and overall prognosis. A dysbiotic microbiota predisposes the body to develop cancer by inducing genetic instability, initiating DNA damage and proliferation of the damaged progeny, eliciting favorable immune response, metabolic dysregulation and altered response to therapy. In this review, we present our analyses of the existing datasets and discuss the local dysbiosis observed in breast cancer patients and different aspects of breast carcinogenesis that can be potentially influenced by local breast microbiota. Striking differences between microbial community compositions in breast of cancer patients compared to healthy individuals were noted. Differences in microbiome were also apparent between benign and malignant disease and between nipple aspirate fluid of healthy individuals and breast survivors. We also discuss the identification of distinct bacterial, fungal, viral as well as parasite signatures for breast cancer. These microbes are capable of producing numerous secondary metabolites that can act as signaling mediators effecting breast cancer progression. We review how microbes potentially alter response to therapy affecting drug metabolism, pharmacokinetics, anti-tumor effects and toxicity. In conclusion, breast harbors a community of microbes that can communicate with the host cells inducing downstream signaling pathways and modulating various aspects of breast cancer growth and metastatic progression and an improved understanding of microbial dysbiosis can potentially reduce breast cancer risk and improve outcomes of breast cancer patients.The human microbiome, now referred to as, the “forgotten organ” contains a metagenome that is 100-fold more diverse compared to the human genome, thereby, is critically associated with human health [1,2]. With the revelations of the human microbiome project and advent of deep sequencing techniques, a plethora of information has been acquired in recent years. Body sites like stomach, bladder and lungs, once thought to be sterile, are now known to harbor millions of indigenous microbial species. Approximately 80% of the healthy microbiome consists of Firmicutes and Bacteroidetes accompanied by Verrucomicrobia, Actinobacteria, Proteobacteria, Tenericutes and Cyanobacteria [[2], [3], [4], [5], [6], [7]]. The role of microbiome in diabetes, obesity and even neurodegenerative diseases was greatly appreciated in the last decade [1,[7], [8], [9], [10], [11], [12], [13], [14]] and now it has been established that microbiome significantly contributes to many organ specific cancers [1,15,16].     

Symbolic logic analysis of cause of dealth in humans: Application to 108 patients after coronary artery bypass graft surgery

Over the past two decades there has been increasing interest in the development of an objective, or formalized “medical logic”, and many authors have employed classical symbolic logic as a part of their approach. On the other hand, it has become clear that certain patterns of reasoning which are commonplace in evaluating patients clinicopathologically are awkward to handle in classical symbolic logic. The present paper proposes an extension of classical symbolic logic which addresses three problems in medical reasoning: (i) the problem of provisional diagnosis, (ii) the problem of inaccessible data, and (iii) the problem of the adequate discharge summary. It is proved mathematically that with a suitably constructed logic, the system “complains” until all questions involving threats to the patient's health are either answered or shown to be unanswerable because of inaccessibility of data. To illustrate this method, the cause of death was studied in 108 patients who had been autopsied at The Johns Hopkins Hospital after coronary artery bypass surgery. The analysis disclosed that 46% of patients suffered a fatal complication which could be attributed to events in the perioperative period; in 15% of patients the cause of death was unexplained by the analysis. Computerized symbolic logic analysis is a useful supplement to intuitive reasoning in assigning cause of death to patients with complex medical histories.     

Progression of Human Renal Cell Carcinoma via Inhibition of RhoA-ROCK Axis by PARG1

Renal cell carcinoma (RCC) is the most lethal urological malignancy with high risk of recurrence; thus, new prognostic biomarkers are needed. In this study, a new RCC antigen, PTPL1 associated RhoGAP1 (PARG1), was identified by using serological identification of recombinant cDNA expression cloning with sera from RCC patients. PARG1 protein was found to be differentially expressed in RCC cells among patients. High PARG1 expression is significantly correlated with various clinicopathological factors relating to cancer cell proliferation and invasion, including G3 percentage (P = .0046), Ki-67 score (p expression is also correlated with high recurrence of N0M0 patients (P = .0084) and poor prognosis in RCC patients (P = .0345). Multivariate analysis has revealed that high PARG1 expression is an independent factor for recurrence (P = .0149) of N0M0 RCC patients. In in vitro studies, depletion of PARG1by siRNA in human RCC cell lines inhibited their proliferation through inducing G1 cell cycle arrest via upregulation of p53 and subsequent p21^Cip1/Waf1, which are mediated by increased RhoA-ROCK activities. Similarly, PARG1 depletion cells inhibited invasion ability via increasing RhoA-ROCK activities in the RCC cell lines. Conversely, overexpression of PARG1 on human embryonic kidney cell line HEK293T promotes its cell proliferation and invasion. These results indicate that PARG1 plays crucial roles in progression of human RCC in increasing cell proliferation and invasion ability via inhibition of the RhoA-ROCK axis, and PARG1 is a poor prognostic marker, particularly for high recurrence of N0M0 RCC patients.     

Correlations Between DCE MRI and Histopathological Parameters in Head and Neck Squamous Cell Carcinoma

BACKGROUND: Dynamic contrast-enhanced magnetic resonance imaging (DCE MRI) can characterize perfusion and vascularization of tissues. DCE MRI parameters can differentiate between malignant and benign lesions and predict tumor grading. The purpose of this study was to correlate DCE MRI findings and various histopathological parameters in head and neck squamous cell carcinoma (HNSCC). PATIENTS AND METHODS: Sixteen patients with histologically proven HNSCC (11 cases primary tumors and in 5 patients with local tumor recurrence) were included in the study. DCE imaging was performed in all cases and the following parameters were estimated: K^trans, V_e, K_ep, and iAUC. The tumor proliferation index was estimated on Ki 67 antigen stained specimens. Microvessel density parameters (stained vessel area, total vessel area, number of vessels, and mean vessel diameter) were estimated on CD31 antigen stained specimens. Spearman''s non-parametric rank sum correlation coefficients were calculated between DCE and different histopathological parameters. RESULTS: The mean values of DCE perfusion parameters were as follows: K^trans 0.189 ± 0.056 min⁻¹, K_ep 0.390 ± 0.160 min⁻¹, V_e 0.548 ± 0.119%, and iAUC 22.40 ± 12.57. Significant correlations were observed between K_ep and stained vessel areas (r = 0.51, P = .041) and total vessel areas (r = 0.5118, P = .043); between V_e and mean vessel diameter (r = −0.59, P = .017). Cell count had a tendency to correlate with V_e (r = −0.48, P = .058). In an analysis of the primary HNSCC only, a significant inverse correlation between K^trans and KI 67 was identified (r = −0.62, P = .041). Our analysis showed significant correlations between DCE parameters and histopathological findings in HNSCC.Dynamic contrast-enhanced magnetic resonance imaging (DCE MRI) has been reported as a technique which is able to characterize perfusion and vascularization of tissues [1], [2]. It has been shown that DCE MRI can be helpful to differentiate between malignant and benign lesions [1]. For example, Yuan et al. reported that lung cancer had a larger volume transfer constant (K^trans) and a lower volume of the extravascular extracellular leakage space (V_e) in comparison to benign lesions [3]. Similar results were reported by Li et al. for breast lesions [4]. Furthermore, according to Cho et al., DCE MRI parameters can be used to distinguish prostatic cancer from benign changes [5]. Moreover, DCE MRI parameters can also predict tumor grading. As reported previously, K^trans correlated well with Gleason score in prostatic cancer [5], [6]. According to other reports, K^trans and V_e correlated with glioma grade [7], [8].DCE MRI parameters were also associated with prognosis in several malignancies [9], [10]. Koo et al. showed that breast cancers with higher K^trans or lower V_e had poor prognostic factors and were often of the triple-negative subtype [10].According to the literature, DCE MRI parameters can predict response to therapy in different tumors. For instance, some authors mentioned that low pretreatment K^trans in regional lymph node metastases in head and neck cancer was associated with a poor response to concurrent chemoradiation therapy [11].Furthermore, Andersen et al. showed that DCE MR parameters obtained prior to chemoradiotherapy predicted survival of patients with cervical cancer [12].Presumably, DCE MRI parameters may be based on tissue composition, such as cellularity and vascular density. However, in this regard there are contradictory data in the literature. While some studies identified significant correlations between DCE MRI and histopathological parameters, others did not [13], [14], [15], [16].The purpose of this study was to correlate DCE MRI findings and various histopathological parameters in head and neck squamous cell carcinoma (HNSCC).