Calprotectin and Calgranulin C as Biomarkers of Pancreatic Tumors: Baseline Levels and Level Changes after Surgery

Pancreatic tumors and their surgical resection are associated with significant morbidity and mortality, and the biomarkers currently used for these conditions have limited sensitivity and specificity. Because calprotectin and calgranulin C serum levels have been demonstrated to be potential biomarkers of certain cancers and complications of major surgery, the levels of both proteins were tested in the current study in patients with benign and malignant pancreatic tumors that were surgically removed. The baseline serum levels and kinetics of calprotectin and calgranulin C during the 7-day postoperative period were evaluated with immunoassays in 98 adult patients who underwent pancreatic surgery. The baseline serum levels of calprotectin and calgranulin C in patients with malignant (n=84) and benign tumors (n=14) were significantly higher (p<0.01) when compared to those in the healthy controls (n=26). The serum levels of both proteins were also significantly (p<0.05) higher in patients with benign tumors than in those with malignant tumors. After surgery, the serum levels of calprotectin and calgranulin C were significantly (p<0.01) higher than their baseline values, and this elevation persisted throughout the seven days of the follow-up period. Interestingly, starting on day 1 of the postoperative period, the serum levels of both proteins were significantly (p<0.05) higher in the 37 patients who developed postoperative pancreatic fistulas (POPFs) than in the patients who had uneventful recoveries (n=61). Moreover, the serum levels of calprotectin and calgranulin C demonstrated a significant predictive value for the development of POPF; the predictive values of these two proteins were better than those of the serum level of C-reactive protein and the white blood cell count. Taken together, the results of this study suggest that calprotectin and calgranulin C serum levels are potential biomarkers for pancreatic tumors, surgical injury to the pancreatic tissue and the development of POPFs.

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Diagnostic accuracy of computed tomography to identify adenomas among adrenal incidentalomas in an endocrinological population

Acta Endocrinologica ◽

10.1530/eje-17-1056 ◽

2018 ◽

Vol 178 (5) ◽

pp. 439-446 ◽

Cited By ~ 8

Author(s):

M Marty ◽

D Gaye ◽

P Perez ◽

C Auder ◽

M L Nunes ◽

...

Keyword(s):

Computed Tomography ◽

Malignant Tumors ◽

Correlation Coefficients ◽

University Hospital ◽

Benign Tumors ◽

Adrenal Incidentalomas ◽

Reference Standard ◽

Quantitative Ct ◽

Endocrine Society ◽

Predictive Values

Context The recent recommendations of the European Endocrine Society states that the performance of computed tomography (CT) to characterize ‘true' adrenal incidentalomas (AIs) remains debatable. Objective To determine relevant thresholds for usual CT parameters for the diagnosis of benign tumors using robust reference standard among a large series of ‘true’ AIs recruited in an endocrinological setting. Design Retrospective study of 253 AIs in 233 consecutive patients explored in a single university hospital: 183 adenomas, 33 pheochromocytomas, 23 adrenocortical carcinomas, 5 other malignant tumors and 9 other benign tumors. Reference standard was histopathology in 118 AIs, biological diagnosis of pheochromocytoma in 2 AIs and size stability after at least 1 year of follow-up in 133 AIs. Methods Sensitivity, specificity and positive and negative predictive values were estimated for various thresholds of size, unenhanced attenuation (UA), relative and absolute wash-out (RPW, APW) of contrast media. 197 scans were reviewed independently in a blinded fashion by two expert radiologists to assess inter-observer reproducibility of measurements. Results Criteria associated with a 100% positive predictive value for the diagnosis of benign AI were: a combination of size and UA: 30 mm and 20 HU or 40 mm and 15 HU, respectively; RPW >53%; and APW >78%. Non-adenomatous AIs with rapid contrast wash-out were exclusively benign pseudocysts and pheochromocytomas, suggesting that classical thresholds of 60% and 40% for APW and RPW, respectively, can be safely used for patients with normal metanephrine values. Inter-observer reproducibility of all parameters was excellent (intra-class correlation coefficients: 0.96–0.99). Conclusions Our study, the largest conducted in AIs recruited in an endocrinological setting, suggests safe thresholds for quantitative CT parameters to avoid false diagnoses of benignity.

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The Development of a Skin Cancer Classification System for Pigmented Skin Lesions Using Deep Learning

Biomolecules ◽

10.3390/biom10081123 ◽

2020 ◽

Vol 10 (8) ◽

pp. 1123 ◽

Cited By ~ 2

Author(s):

Shunichi Jinnai ◽

Naoya Yamazaki ◽

Yuichiro Hirano ◽

Yohei Sugawara ◽

Yuichiro Ohe ◽

...

Keyword(s):

Skin Cancer ◽

Malignant Tumors ◽

Skin Lesions ◽

Training Dataset ◽

Clinical Image ◽

Benign Tumors ◽

Clinical Images ◽

Predictive Values ◽

Test Dataset ◽

Pigmented Skin Lesions

Recent studies have demonstrated the usefulness of convolutional neural networks (CNNs) to classify images of melanoma, with accuracies comparable to those achieved by dermatologists. However, the performance of a CNN trained with only clinical images of a pigmented skin lesion in a clinical image classification task, in competition with dermatologists, has not been reported to date. In this study, we extracted 5846 clinical images of pigmented skin lesions from 3551 patients. Pigmented skin lesions included malignant tumors (malignant melanoma and basal cell carcinoma) and benign tumors (nevus, seborrhoeic keratosis, senile lentigo, and hematoma/hemangioma). We created the test dataset by randomly selecting 666 patients out of them and picking one image per patient, and created the training dataset by giving bounding-box annotations to the rest of the images (4732 images, 2885 patients). Subsequently, we trained a faster, region-based CNN (FRCNN) with the training dataset and checked the performance of the model on the test dataset. In addition, ten board-certified dermatologists (BCDs) and ten dermatologic trainees (TRNs) took the same tests, and we compared their diagnostic accuracy with FRCNN. For six-class classification, the accuracy of FRCNN was 86.2%, and that of the BCDs and TRNs was 79.5% (p = 0.0081) and 75.1% (p < 0.00001), respectively. For two-class classification (benign or malignant), the accuracy, sensitivity, and specificity were 91.5%, 83.3%, and 94.5% by FRCNN; 86.6%, 86.3%, and 86.6% by BCD; and 85.3%, 83.5%, and 85.9% by TRN, respectively. False positive rates and positive predictive values were 5.5% and 84.7% by FRCNN, 13.4% and 70.5% by BCD, and 14.1% and 68.5% by TRN, respectively. We compared the classification performance of FRCNN with 20 dermatologists. As a result, the classification accuracy of FRCNN was better than that of the dermatologists. In the future, we plan to implement this system in society and have it used by the general public, in order to improve the prognosis of skin cancer.

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Evaluation of Prognostic Value of Serum Matrix Metalloproteinases (MMP)-2 and MMP-9 in Canine Mammary Gland Tumors; A Longitudinal Study

10.21203/rs.3.rs-271056/v1 ◽

2021 ◽

Author(s):

Zohreh Khaki ◽

vahid Fathipour

Keyword(s):

Risk Factor ◽

Malignant Tumors ◽

Active Form ◽

Gelatin Zymography ◽

Mammary Tumors ◽

Serum Levels ◽

Benign Tumors ◽

Control Group ◽

Serum Samples ◽

Molecular Weights

Abstract Background: Serum levels of MMP-2 and MMP-9 were evaluated in 26 dogs with mammary tumors before surgical treatment and then 1, 4 and 12 months after surgery by gelatin zymography. Serum samples from 26 dogs with the normal condition were used as the control in the zymographic evaluation. In addition, pathology evaluation was performed in patients. Results: Our results showed that lymph node metastases are risk factor for death and metastasis and or recurrence (M/R) in canine malignant mammary tumors. Dogs with benign and malignant mammary tumors showed bands of Pro-MMP-2, Pro-MMP-9 and active MMP-9 with molecular weights of 72, 92 and 82, respectively. However, only Pro-MMP-2 and Pro-MMP-9 bands appeared in the serum of control group and two patients with benign lobular hyperplasia tumor. Our results showed that Pro-MMP-2 levels increased more dramatically (2 fold) in malignant tumors than in benign tumors and control groups. Also, in patients with M/R, there was a significant increase in the levels of Pro-MMP-9 in serum samples 12 months after surgery compared with other sampling times. Meanwhile, the presence of active MMP-9 (especially in samples 4 and 12 months after surgery of malignant tumors), regardless of its amount, is important in terms of prognosis for recurrence or metastasis. Also, active MMP-2 was only detected in some malignant and metastatic tumors. Observation of active MMP-2 band is very important for M/R than active MMP-9 because its presence regardless of values coincides with a definite M/R, unlike the active form of MMP-9. Necrosis, stromal invasion, and infiltrative growth increase risk of the development of M/R and the presence of necrosis is a risk factor for death. Conclusions: In conclusion, serum zymograhpy may be used at regular intervals after surgery to check for the possibility of M/R in dogs with mammary tumors.More research is needed in this regard.

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Potential of ultrasound diagnosis for parotid tumors: Analysis of qualitative and quantitative parameters

Otolaryngology ◽

10.1016/j.otohns.2007.05.062 ◽

2007 ◽

Vol 137 (4) ◽

pp. 642-646 ◽

Cited By ~ 40

Author(s):

Alessandro Bozzato ◽

Johannes Zenk ◽

Holger Greess ◽

Joachim Hornung ◽

Frank Gottwald ◽

...

Keyword(s):

Contrast Medium ◽

Malignant Tumors ◽

Malignant Lesion ◽

Ultrasound Diagnosis ◽

Benign Tumors ◽

Cross Sectional ◽

Predictive Values ◽

Parotid Tumors ◽

Contrast Analysis ◽

Sensitivity Specificity

Objective Histology of parotid tumors determines the extent of surgery. The aim was to test ultrasound (US) contrast enhancer-kinetics to identify histologic entities, possibly being superior to qualitative morphological parameters. Study Design In a cross-sectional assessment of ultrasound diagnosis, the subjective US-classification was compared with contrast analysis with histology as gold standard. Subjects and Methods A total of 64 male and 61 female patients with a mean age of 54 years were included, with 13 malignant tumors. These were classified with US morphology, then time-dependent contrast medium analysis. Results A total of 92.8% of tumors were classified correctly as malignant or benign. The sensitivity, specificity, positive- and negative-predictive values were 66.7%, 86.3%, 60.6%, and 89.1% for differentiating Warthin tumors, but only 46.2%, 98.2%, 75%, and 94% for malignant lesions. Contrast parameters yielded significant parameters for benign tumors, not for malignant entities. Conclusion Although contrast medium analysis provided statistical criteria, these, however, do not possess the ability to improve the diagnostic prediction of tumor histology. Neither the morphologic classification nor contrast medium analysis was able to identify a malignant lesion sufficiently.

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OVARIAN MASQUERADES: A COMPARATIVE STUDY OF FROZEN SECTION REPORTING OF OVARIAN MASSES WITH FINAL HISTOPATHOLOGICAL DIAGNOSIS AT A TERTIARY CANCER CENTRE: A TWO YEAR STUDY.

10.36106/ijsr/9818715 ◽

2021 ◽

pp. 22-24

Author(s):

Champaka G ◽

Akkamahadevi S Patil ◽

Geeta V. Patil Okaly ◽

Suma M N ◽

Usha Amirtham ◽

...

Keyword(s):

Ovarian Neoplasms ◽

Malignant Tumors ◽

Frozen Section ◽

Treatment Plan ◽

Benign Tumors ◽

Malignant Neoplasms ◽

Histopathological Diagnosis ◽

Ovarian Carcinomas ◽

Predictive Values ◽

Ovarian Masses

Introduction: Intraoperative assessment of ovarian neoplasms on Frozen section (FS) as epithelial and non-epithelial types is crucial for appropriate surgical management. Accurate categorization is important as treatment plan includes cystectomy for benign tumors, extensive staging procedures for ovarian carcinomas and oophorectomy or limited surgical staging for borderline tumors especially in younger patients to preserve fertility. Objectives: To study the accuracy of ovarian FS interpretation with reference to nal histopathological (HPE) diagnosis on parafn embedded sections after analyzing by morphology and immunohistochemistry (IHC) wherever necessary. Materials and Methods:Aretrospective analysis of 170 cases of FS study on ovarian masses during the period of two years (2017, 2018) was done at a tertiary oncology center. Results: Of the total 170 cases on frozen, 74 cases were benign, 27 cases borderline and 69 cases malignant. On nal HPE 73 cases were benign, 20 cases borderline and 77 cases malignant neoplasms. The sensitivity and specicity were 95.89%, 95.87% in benign tumors, 80%, 92.66% in borderline and 88.3%, 98.92% in malignant tumors respectively. The positive and negative predictive values were 94.59%, 96.87% in benign lesions, 59.25%, 97.20% in borderline, 98.55%, and 91.08% in malignant neoplasms respectively. Conclusions:In our study there was a good concordance between frozen and nal histopathology in the diagnosis of benign and malignant ovarian neoplasms. Ovarian FS study is a reliable tool for intraoperative decision making regarding the extent of surgery

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Retrospective study on parotid gland tumors

ORL ro ◽

10.26416/orl.33.4.2016.155 ◽

2016 ◽

Vol 4 (1) ◽

pp. 22-23

Author(s):

Ibric Cioranu ◽

Vlad Petrescu Seceleanu ◽

Viorel Ibric Cioranu ◽

Andreea Smarandache ◽

Sorin Vasilescu ◽

...

Keyword(s):

Malignant Tumors ◽

Maxillofacial Surgery ◽

Squamous Carcinoma ◽

Benign Tumors ◽

Warthin Tumor ◽

Parotid Tumors ◽

Non Hodgkin Lymphoma ◽

Adenoid Cystic ◽

Modal Treatment ◽

Surgery Department

During 2011-2012, 56 patients diagnosed with parotid tumors were admitted to the Maxillofacial Surgery Department of “Lucian Blaga” University and in Euroclinic Hospital. 72% were benign tumors and 28% malignant. All patients received surgical treatment (total or partial parotidectomy). For the malignant tumors, radiotherapy was added to the modal treatment (94% of the cases). Pleomorphic adenoma was encountered in 70% of the benign cases, followed by Warthin tumor in 15%. Adenoid cystic carcinoma was noticed in 31% of the malignant cases, mucoepidermoid carcinoma in 25% of the cases, and squamous carcinoma and non-Hodgkin lymphoma on 12.5% of the malignant cases.

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MiRNA Expression in Neuroendocrine Neoplasms of Frequent Localizations

Non-Coding RNA ◽

10.3390/ncrna7030038 ◽

2021 ◽

Vol 7 (3) ◽

pp. 38

Author(s):

Alexandra Korotaeva ◽

Danzan Mansorunov ◽

Natalya Apanovich ◽

Anna Kuzevanova ◽

Alexander Karpukhin

Keyword(s):

Mirna Expression ◽

Malignant Tumors ◽

Neuroendocrine Neoplasms ◽

Specific Expression ◽

Clinical Biomarkers ◽

Different Types ◽

Functional Features ◽

First Time ◽

Potential Biomarkers

Neuroendocrine neoplasms (NEN) are infrequent malignant tumors of a neuroendocrine nature that arise in various organs. They occur most frequently in the lungs, intestines, stomach and pancreas. Molecular diagnostics and prognosis of NEN development are highly relevant. The role of clinical biomarkers can be played by microRNAs (miRNAs). This work is devoted to the analysis of data on miRNA expression in NENs. For the first time, a search for specificity or a community of their functional characteristics in different types of NEN was carried out. Their properties as biomarkers were also analyzed. To date, more than 100 miRNAs have been characterized as differentially expressed and significant for the development of NEN tumors. Only about 10% of the studied miRNAs are expressed in several types of NEN; differential expression of the remaining 90% was found only in tumors of specific localizations. A significant number of miRNAs have been identified as potential biomarkers. However, only a few miRNAs have values that characterized their quality as markers. The analysis demonstrates the predominant specific expression of miRNA in each studied type of NEN. This indicates that miRNA’s functional features are predominantly influenced by the tissue in which they are formed.

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Comprehensive analyses of competing endogenous RNA networks reveal potential biomarkers for predicting hepatocellular carcinoma recurrence

BMC Cancer ◽

10.1186/s12885-021-08173-0 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Ping Yan ◽

Zuotian Huang ◽

Tong Mou ◽

Yunhai Luo ◽

Yanyao Liu ◽

...

Keyword(s):

Hepatocellular Carcinoma ◽

Malignant Tumors ◽

Expression Profiles ◽

Clinical Information ◽

Gene Expression Omnibus ◽

The Cancer Genome Atlas ◽

High Rate ◽

Competing Endogenous Rna ◽

Tissue Samples ◽

Potential Biomarkers

Abstract Background Hepatocellular carcinoma (HCC) is one of the most common and deadly malignant tumors, with a high rate of recurrence worldwide. This study aimed to investigate the mechanism underlying the progression of HCC and to identify recurrence-related biomarkers. Methods We first analyzed 132 HCC patients with paired tumor and adjacent normal tissue samples from the Gene Expression Omnibus (GEO) database to identify differentially expressed genes (DEGs). The expression profiles and clinical information of 372 HCC patients from The Cancer Genome Atlas (TCGA) database were next analyzed to further validate the DEGs, construct competing endogenous RNA (ceRNA) networks and discover the prognostic genes associated with recurrence. Finally, several recurrence-related genes were evaluated in two external cohorts, consisting of fifty-two and forty-nine HCC patients, respectively. Results With the comprehensive strategies of data mining, two potential interactive ceRNA networks were constructed based on the competitive relationships of the ceRNA hypothesis. The ‘upregulated’ ceRNA network consists of 6 upregulated lncRNAs, 3 downregulated miRNAs and 5 upregulated mRNAs, and the ‘downregulated’ network includes 4 downregulated lncRNAs, 12 upregulated miRNAs and 67 downregulated mRNAs. Survival analysis of the genes in the ceRNA networks demonstrated that 20 mRNAs were significantly associated with recurrence-free survival (RFS). Based on the prognostic mRNAs, a four-gene signature (ADH4, DNASE1L3, HGFAC and MELK) was established with the least absolute shrinkage and selection operator (LASSO) algorithm to predict the RFS of HCC patients, the performance of which was evaluated by receiver operating characteristic curves. The signature was also validated in two external cohort and displayed effective discrimination and prediction for the RFS of HCC patients. Conclusions In conclusion, the present study elucidated the underlying mechanisms of tumorigenesis and progression, provided two visualized ceRNA networks and successfully identified several potential biomarkers for HCC recurrence prediction and targeted therapies.

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Multimodality imaging review of focal renal lesions

Egyptian Journal of Radiology and Nuclear Medicine ◽

10.1186/s43055-020-00391-z ◽

2021 ◽

Vol 52 (1) ◽

Author(s):

Jonathan Lyske ◽

Rishi Philip Mathew ◽

Christopher Hutchinson ◽

Vimal Patel ◽

Gavin Low

Keyword(s):

Malignant Tumors ◽

Multimodality Imaging ◽

Lymphoproliferative Disease ◽

Benign Tumors ◽

Main Body ◽

Imaging Features ◽

Focal Lesions ◽

Renal Lesions ◽

Positron Emission ◽

Neoplastic Lesions

Abstract Background Focal lesions of the kidney comprise a spectrum of entities that can be broadly classified as malignant tumors, benign tumors, and non-neoplastic lesions. Malignant tumors include renal cell carcinoma subtypes, urothelial carcinoma, lymphoma, post-transplant lymphoproliferative disease, metastases to the kidney, and rare malignant lesions. Benign tumors include angiomyolipoma (fat-rich and fat-poor) and oncocytoma. Non-neoplastic lesions include infective, inflammatory, and vascular entities. Anatomical variants can also mimic focal masses. Main body of the abstract A range of imaging modalities are available to facilitate characterization; ultrasound (US), contrast-enhanced ultrasound (CEUS), computed tomography (CT), magnetic resonance (MR) imaging, and positron emission tomography (PET), each with their own strengths and limitations. Renal lesions are being detected with increasing frequency due to escalating imaging volumes. Accurate diagnosis is central to guiding clinical management and determining prognosis. Certain lesions require intervention, whereas others may be managed conservatively or deemed clinically insignificant. Challenging cases often benefit from a multimodality imaging approach combining the morphology, enhancement and metabolic features. Short conclusion Knowledge of the relevant clinical details and key imaging features is crucial for accurate characterization and differentiation of renal lesions.

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Identification of collagen genes related to immune infiltration and epithelial-mesenchymal transition in glioma

Cancer Cell International ◽

10.1186/s12935-021-01982-0 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Wen Yin ◽

Hecheng Zhu ◽

Jun Tan ◽

Zhaoqi Xin ◽

Quanwei Zhou ◽

...

Keyword(s):

Tumor Progression ◽

Epithelial Mesenchymal Transition ◽

Malignant Tumors ◽

Therapeutic Targets ◽

Migration And Invasion ◽

Who Grade ◽

Mesenchymal Transition ◽

Immunosuppressive Microenvironment ◽

Collagen Genes ◽

Potential Biomarkers

Abstract Background Gliomas account for the majority of fatal primary brain tumors, and there is much room for research in the underlying pathogenesis, the multistep progression of glioma, and how to improve survival. In our study, we aimed to identify potential biomarkers or therapeutic targets of glioma and study the mechanism underlying the tumor progression. Methods We downloaded the microarray datasets (GSE43378 and GSE7696) from the Gene Expression Omnibus (GEO) database. Then, we used weighted gene co-expression network analysis (WGCNA) to screen potential biomarkers or therapeutic targets related to the tumor progression. ESTIMATE (Estimation of STromal and Immune cells in MAlignant Tumors using Expression data) algorithm and TIMER (Tumor Immune Estimation Resource) database were used to analyze the correlation between the selected genes and the tumor microenvironment. Real-time reverse transcription polymerase chain reaction was used to measure the selected gene. Transwell and wound healing assays were used to measure the cell migration and invasion capacity. Western blotting was used to test the expression of epithelial-mesenchymal transition (EMT) related markers. Results We identified specific module genes that were positively correlated with the WHO grade but negatively correlated with OS of glioma. Importantly, we identified that 6 collagen genes (COL1A1, COL1A2, COL3A1, COL4A1, COL4A2, and COL5A2) could regulate the immunosuppressive microenvironment of glioma. Moreover, we found that these collagen genes were significantly involved in the EMT process of glioma. Finally, taking COL3A1 as a further research object, the results showed that knockdown of COL3A1 significantly inhibited the migration, invasion, and EMT process of SHG44 and A172 cells. Conclusions In summary, our study demonstrated that collagen genes play an important role in regulating the immunosuppressive microenvironment and EMT process of glioma and could serve as potential therapeutic targets for glioma management.

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