Biomarker For Squamous Cell Carcinoma Research Articles

Transcriptome analysis identifies CCDC86 as a new potential Head and Neck Squamous Cell Carcinoma biomarker

Transcriptome analysis identifies CCDC86 as a new potential Head and Neck Squamous Cell Carcinoma biomarker

Clustering of RNA co-expression network identifies novel long non-coding RNA biomarkers in squamous cell carcinoma

Long non-coding RNAs (lncRNAs) have emerged as important players in cancer progression. Cutaneous squamous cell carcinoma (cSCC) is the most common metastatic skin cancer with increasing incidence worldwide. The prognosis of the metastatic cSCC is poor, and currently there are no established biomarkers to predict metastasis risk or specific therapeutic targets for advanced or metastatic cSCC. To elucidate the role of lncRNAs in cSCC, RNA sequencing of patient derived cSCC cell lines and normal human epidermal keratinocytes was performed. The correlation analysis of differentially expressed lncRNAs and protein-coding genes revealed six distinct gene clusters with one of the upregulated clusters featuring genes associated with cell motility. Upregulation of the expression of lncRNAs linked to cSCC cell motility in cSCC and head and neck SCC (HNSCC) cells was confirmed using qRT-PCR. Elevated expression of HOTTIP and LINC00543 was also noted in SCC tumors in vivo and was associated with poorer prognosis in HNSCC and lung SCC cohorts within TCGA data, respectively. Altogether, these findings uncover a novel set of lncRNAs implicated in cSCC cell locomotion. These lncRNAs may serve as potential novel biomarkers and as putative therapeutic targets for locally advanced and metastatic cSCC.

Evaluation of Triglyceride-Glucose Index Elevation as a Biomarker and Risk Factor in Laryngeal Squamous Cell Carcinoma.

Insulin resistance is associated with increased levels of IGF-1. IGF-1 has been shown to increase the risk of laryngeal squamous cell carcinoma. The Triglyceride-glucose index (TyG index) is a marker of insulin resistance. Our study aimed to investigate the relationship between the TyG index and laryngeal squamous cell carcinoma. Retrospective cohort study. Two tertiary care academic hospitals. The study included 53 patients with laryngeal squamous cell carcinoma (Group 1) and 48 healthy volunteers (Group 2). Laryngeal cancer patients were divided into two groups according to their stage. Stages I and II were named Group 1A, and Stages III and IV were called Group 1B. The TyG index was calculated as ln [fasting Triglycerides (mg/dL) × fasting plasma glucose (mg/dL)/2]. The effect of the TyG index on laryngeal cancer was investigated on the parameters of sex, age, body mass index, and stage of the disease. There were no significant differences in age, sex, and BMI between the groups. The TyG index of group 1 (4.75 ± 0.33) was significantly higher than that of group 2 (4.59 ± 0.15). The TyG index value of group 1B (4.84 ± 0.31) was significantly higher than both group 1A (4.61 ± 0.32) and group 2 (4.59 ± 0.15). There was no significant difference between the TyG index values of group 1A (4.61 ± 0.32) and group 2 (4.59 ± 0.15). The TyG index may be a promising laryngeal squamous cell carcinoma biomarker. People with a higher TyG index may have a higher incidence of laryngeal squamous cell carcinoma and a higher risk of progression.

The Role of SCARA5 as a Potential Biomarker in Squamous Cell Carcinoma of the Lung.

Lung cancer is the leading cause of cancer-related deaths in the western world. Squamous cell carcinoma is one of the most common histological subtypes of this malignancy. For squamous cell carcinoma of the lung (LSCC), prognostic and predictive markers still are largely missing. In a previous study, we were able to show that the expression of THSD7A shows an association with unfavorable prognostic parameters in prostate cancer. There is also a link to a high expression of FAK. There is incidence that SCARA5 might be the downstream gene of THSD7A. Furthermore, there is evidence that SCARA5 interacts with FAK. We were interested in the role of SCARA5 as a potential biomarker in LSCC. Furthermore, we wanted to know whether SCARA5 expression is linked to THSD7A positivity and to the expression level of FAK. For this reason, we analyzed 101 LSCC tumors by immunohistochemistry. Tissue microarrays were utilized. No significant association was found between SCARA5 expression and overall survival or clinicopathological parameters. There was also no significant association between THSD7A positivity and SCARA5 expression level. Moreover, no significant association was found between FAK expression level and SCARA5 expression level. SCARA5 seems not to play a major role as a biomarker in squamous cell carcinoma of the lung.

Prospects for the clinical application of exosomal circular RNA in squamous cell carcinoma.

Squamous cell carcinoma (SCC) is a prevalent malignancy affecting multiple organs in the human body, including the oral cavity, esophagus, cervix, and skin. Given its significant incidence and mortality rates, researchers are actively seeking effective diagnostic and therapeutic strategies. In recent years, exosomes and their molecular cargo, particularly circular RNA (circRNA), have emerged as promising areas of investigation in SCC research. Exosomes are small vesicles released into the extracellular environment by cells that contain biomolecules that reflect the physiological state of the cell of origin. CircRNAs, known for their unique covalently closed loop structure and stability, have garnered special attention in oncology and are closely associated with tumorigenesis, progression, metastasis, and drug resistance. Interestingly, exosomal circRNAs have been identified as ideal biomarkers for noninvasive cancer diagnosis and prognosis assessment. This article reviews the progress in research on exosomal circRNAs, focusing on their expression patterns, functions, and potential applications as biomarkers in SCC, aiming to provide new insights and strategies for the diagnosis and treatment of SCC.

Identification of an 8 HPV-related RNA signature as a novel prognostic biomarker for squamous cell carcinoma of the head and neck.

Squamous cell carcinoma of the head and neck (SCCHN) is a commonly detected cancer worldwide. Human papillomavirus (HPV) is emerging as an important risk factor affecting SCCHN prognosis. Therefore, identification of HPV status is essential for effective therapies in SCCHN. The aim of this study was to investigate the prognostic value of HPV-associated RNA biomarkers for SCCHN. The clinical data, survival data, and RNA-seq data of SCCHN were downloaded from The Cancer Genome Atlas database. Before the differential expression analysis, the heterogeneity between the 2 groups (HPV+ vs HPV-) of samples was analyzed using principal component analysis. The differentially expressed genes (DEGs) between HPV+ and HPV- SCCHN samples were analyzed using the R edgeR package. The Gene Ontology functional annotations, including biological process, molecular function and cellular component (CC), and Kyoto Encyclopedia of Genes And Genomes pathways enriched by the DEGs were analyzed using DAVID. The obtained matrix was analyzed by weighed gene coexpression network analysis. A total of 350 significant DEGs were identified through differential analysis, and these DEGs were significantly enriched in functions associated with keratinization, and the pathway of neuroactive ligand-receptor interaction. Moreover, 72 hub genes were identified through weighed gene coexpression network analysis. After the hub genes and DEGs were combined, we obtained 422 union genes, including 65 survival-associated genes. After regression analysis, a HPV-related prognostic model was established, which consisted of 8 genes, including Clorf105, CGA, CHRNA2, CRIP3, CTAG2, ENPP6, NEFH, and RNF212. The obtained regression model could be expressed by an equation as follows: risk score = 0.065 × Clorf105 + 0.012 × CGA + 0.01 × CHRNA2 + 0.047 × CRIP3 + 0.043 × CTAG2-0.034 × ENPP6 - 0.003 × NEFH - 0.068 × RNF212. CGA interacted with 3 drugs, and CHRNA2 interacted with 11 drugs. We have identified an 8 HPV-RNA signature associated with the prognosis of SCCHN patients. Such prognostic model might serve as possible candidate biomarker and therapeutic target for SCCHN.

Emerging salivary biomarkers for squamous cell carcinoma in the oral cavity: A brief overview

Squamous cell carcinoma (SCC) in the oral cavity represents a significant health concern, demanding improved early diagnosis. Often it goes unnoticed in the oral cavity and is later detected only during multiple organ involvement. This brief review provides a concise exploration of the salivary biomarkers that hold immense promise for the early detection of oral Squamous cell carcinoma. With a focus on early detection that may revolutionize the management of this challenging disease and reduce future complications. This review focuses on the role of salivary biomarkers in early detection and planning a specific approach for the treatment of patients.

KLINICZNA ROLA BIOMARKERÓW miRNA W RAKU PŁASKONABŁONKOWYM KRTANI (LSCC). PRZEGLĄD LITERATURY

IntroductionMalignant transformations may result from gene dysregulation caused by genetic and epigenetic modifications. The use of miRNAs to treat cancer depends on the downregulation or upregulation of the miRNAs responsible for carcinogenesis (proliferation, angiogenesis, invasion, metastasis), providing the opportunity to suppress tumors. The purpose of this review is to list miRNAs identified so far as biomarkers in laryngeal squamous cell carcinoma (LSCC). This listing may help in predicting the evolution of miRNAs and developing anti-miRNAs and miRNA-mimics as anti-cancer therapies.Material and methodsRelevant publications from 2008 to 2022 were retrieved from the PubMed and Google Scholar databases, using the key words miRNA (PubMed – 149,294 results; Google Scholar – 205,000 results), laryngeal squamous cell carcinoma (PubMed – 33,191 results; Google Scholar – 17,900 results), laryngeal squamous cell carcinoma biomarkers (PubMed – 6249 results; Google Scholar – 18,000 results), laryngeal squamous cell carcinoma miRNA (PubMed – 1338 results; Google Scholar – 17,500 results). Eventually 51 papers were selected for review.ResultsWe identified 51 studies which have detected miRNA-based biomarkers for LSCC, and they are broadly reviewed here.ConclusionsThe identified laryngeal squamous cell-specific miRNA biomarkers appear to be promising for the detection, predicted course, and treatment of LSCC.

Role of suprabasin, a new biomarker in squamous cell carcinoma and basal cell carcinoma

IntroductionSuprabasin is a newly discovered protein linked to various human diseases including cancer. It may does have an effect on the development and expression of some non-melanoma skin cancers such as basal cell carcinoma (BCC) and squamous cell carcinoma (SCC). BCC is the most common non-melanoma skin cancers worldwide, while SCC comes as the second in terms of prevalence. In certain cases, it is very important to distinguish between these two carcinomas from each other and from normal skin samples. This study was aimed at investigating the characteristics of suprabasin expression in squamous cell carcinoma and basal cell carcinoma and whether it can be used as a biomarker. Materials and methodsThirty control, ninety SCC and thirty BCC cases obtained from the archives of the Department of Pathology, Faculty of Medicine, Fırat University, were examined by immunohistochemical staining for suprabasin. ResultsIncreased suprabasin expression was observed in tumour tissues and normal skin samples in SCC. As the grade increased in SCC, suprabasin expression decreased. No suprabasin expression was observed in the lesion area in BCC. ConclusionSuprabasin can be reported as a biomarker for SCC and used to differentiate SCC from BCC. Expression of suprabasin in SCC can be used to determine grade. Absence of suprabasin expression in BCC can be used for differential diagnosis

Application of explainable artificial intelligence in the identification of Squamous Cell Carcinoma biomarkers

Non-melanoma skin cancers (NMSCs) are the fifth most common type of cancer worldwide, affecting both men and women. Each year, more than a million new occurrences of NMSC are estimated, with Squamous Cell Carcinoma (SCC) representing approximately 20% of all skin malignancies. The purpose of this study was to find potential diagnostic biomarkers for SCC by application of eXplainable Artificial Intelligence (XAI) on XGBoost machine learning (ML) models trained on binary classification datasets comprising the expression data of 40 SCC, 38 AK, and 46 normal healthy skin samples. After successfully incorporating SHAP values into the ML models, 23 significant genes were identified and were found to be associated with the progression of SCC. These identified genes may serve as diagnostic and prognostic biomarkers in patients with SCC.

Performance characteristics of the BRAHMS KRYPTOR automated squamous cell carcinoma antigen assay

BackgroundSquamous cell carcinoma antigen (SCCA) is a glycoprotein biomarker for squamous cell carcinoma (SCC). SCCA elevations have also been noted in other conditions. The purpose of this study was to evaluate the analytical and clinical performance of an automated SCCA homogenous immunofluorescent assay (BRAHMS KRYPTOR). MethodsReference intervals were determined using 119 samples from healthy donors. To assess clinical performance, samples were collected from patients with cervical (n = 12), head and neck (n = 23), lung (n = 14), or cutaneous (n = 11) SCC in addition to hepatocellular carcinoma, psoriasis, or atopic dermatitis. ResultsUpper 95th percentile sex-specific reference intervals were 2.00 μg/L for males and 1.67 μg/L for females. Intra- and inter-assay CVs were less than 5%. Comparison of the BRAHMS KRYPTOR to an ELISA SCCA immunoassay exhibited a correlation coefficient of 0.8809. The mean sensitivity for all SCC positive patients was 23.3%. With the exception of psoriasis (58.6%) specificity exceeded 95% for the non-SCC populations. ConclusionThe BRAHMS KRYPTOR SCCA assay showed good analytical performance and acceptable overall clinical specificity. Consistent with previous studies, the sensitivity of SCCA for SCC was low. In the absence of other robust circulating markers, SCCA remains an imperfect yet useful tool in the evaluation of SCC.

CEA as a blood-based biomarker in anal cancer.

Background: The clinical utility of a blood-based biomarker in squamous cell carcinoma of the anus (SCCA) is unknown. We analyzed carcinoembryonic antigen (CEA), a commonly employed assay for patients with colorectal adenocarcinoma, as a serum biomarker for patients with biopsy-proven SCCA.Materials and Methods: Medical records from 219 patients with biopsy-proven SCCA at the University of Texas MD Anderson Cancer Center were reviewed under an IRB-approved protocol from 2013 to 2020 to assess for correlations between CEA levels and corresponding clinical and pathologic characteristics.Results: The mean CEA among subgroups by clinical status at the time of presentation to our institution was highest among those patients with metastatic SCCA to visceral organs (M-V, 20.7 ng/mL), however this finding was not statistically significant by ANOVA (p = .74). By clinical subgroup, the percentage of patients with an abnormally elevated CEA was highest in those patients with metastatic disease to lymph nodes (M-L, 41.2%) followed by recurrent/unresectable SCCA (36.8%), and metastatic SCCA to visceral organs (M-V, 35.2%), and was statistically significant between groups (Fisher’s exact test p = .02). Using RECIST criteria for tumor progression and disease response, the mean change in CEA for patients with progression was an increase in 19 ng/mL, compared to a change of –7.3 ng/mL in those with disease response (p = .004). We likewise assessed whether CEA levels were associated with survival outcomes for all patients with metastatic SCCA, and found no correlation between CEA and likelihood for survival in a ROC analysis (multivariate, age-adjusted analysis for CEA cutoff of 8, HR = 1.01, 95% CI 0.52–1.96).Conclusions: Despite interesting patterns of abnormally high CEA in SCCA patients with advanced disease, and correlation of increased CEA with disease progression (and conversely decreased CEA with disease response), CEA is not associated with survival outcomes in SCCA, and is not a clinically relevant biomarker in this disease.

A Prospective Cohort Study of Biomarkers in Squamous Cell Carcinoma of the Anal Canal (SCCAC) and their Influence on Treatment Outcomes.

Background: Although Chemoradiation (CRT) is the curative treatment for SCCAC, many patients present primary resistance. Since it is a rare tumor, response predictors remain unknown.Methods: We performed a prospective cohort study to evaluate biomarkers associated with CRT response, progression-free survival (PFS), and overall survival (OS). The primary endpoint was response at 6 months (m). Tumor DNA and HPV were analyzed by next-generation sequencing, while KI-67 and PD-L1 by immunohistochemistry in tumor tissue.Results: Seventy-eight patients were recruited between October/2011 and December/2015, and 75 were response evaluable. The median age was 57 years, 65% (n=49) were stage III and 12% (n=9) were HIV positive (HIV+). At 6m, 62.7% (n=47) presented CR. On multivariate analyses, stage II patients were 4.7 more likely to achieve response than stage III (OR, 4.70; 95%CI, 1.36-16.30; p=0.015). HIV+ was associated with a worse response (OR, 5.72; 95%CI, 2.5-13.0; p<0.001). 5-year PFS and OS rates were 63.3% and 76.4%, respectively, with a median follow up of 66m. On multivariate analyses, older age (HR 1.06, p=0.022, 95%IC 1.01-1.11) and absence of CR at 6m (HR 3.36, p=0.007, 95%IC 1.39-8.09) were associated with inferior OS. The 5-year OS rate was 62.5% in HIV+ group compared to 78% among HIV- pts, although this difference was not statistically significant (p=0.4). PIK3CA, MET and TP53 mutations, HPV, Ki-67 expression, and PD-L1 expression, were not associated with PFS and OS.Conclusions: Clinical stage III and HIV+ were associated with worse response to CRT at 6m. The absence of CR was the main factor associated with poor 5-year OS.

Expression of P16 biomarker in squamous cell carcinoma of uterine cervix and its association with clinico-pathological parameters: A cross-sectional study

Introduction: Cervical cancer is the most common cancer among females. P16 is the surrogate marker for cervical carcinoma. This study aimed to evaluate the association of P16 marker with clinic-pathological parameters in squamous cell carcinoma of uterine cervix.&#x0D; Methods: This was a cross-sectional study. Histological confirmed cases of squamous cell carcinoma (SCC) of cervix were considered. All cases were evaluated for IHC P16 expression as per lower anogenital squamous terminology (LAST) criteria and correlated with clinico-pathological parameters. The data was analyzed by SPSS software version 22.&#x0D; Results: Out of 75 cases, P16 biomarker expression was block positive, ambiguous and negative in 67 (89.3%), 5 (6.6%), and 3 (4%) cases, respectively. There was a significant association between P16 expression and age (p = 0.005). All cases between 30-59 years of age showed block positivity. There was no significant association between P16 expression and age at marriage (p = 0.951), age at menopause (p = 0.311), parity (p = 0.554), clinical symptoms/signs, stage of disease (p = 0.28), or histopathological grade (p = 0.877). Maximum expression was seen between 40-44 years. Moreover, all cases having 1 &amp; 2 parity showed block positivity and all stage I cases showed block positivity.&#x0D; Conclusion: P16 biomarker was significantly expressed in cervical cancers of the relatively younger age group and those with early stage of disease.

Prospective study of biomarkers in squamous cell carcinoma of the anal canal (SCCAC) and their influence on treatment outcomes: Five-year long-term results.

4053 Background: Chemoradiation (CRT) is a curative treatment for SCCAC. However, some patients (pts) present primary CRT resistance. As a rare tumor, there is a lack of prospective studies of prognostic factors in this setting. Methods: This prospective cohort study was aimed to evaluate predictive biomarkers (Ki-67, PD-L1, Human papillomavirus (HPV), HIV status, and tumor DNA mutations) in SCCAC. We published the 6 months (m) response rate (RR) of this cohort showing that HIV- were 5.7 times more likely to achieve response 6m post CRT (OR 5.72, CI 95% 2.5-13.0, P &lt; 0.001). Now we report the long-term follow-up results of 5-year progression-free survival (PFS) and overall survival (OS). Eligible pts had T2-4/N0-3/M0 disease and were candidates to standard CRT. DNA mutations were analyzed by next-generation sequencing (NGS). HPV positivity was tested by PapilloCheck Test. KI-67 and PD-L1 were evaluated by immunohistochemistry. Results: 78 pts were recruited from Jan/2011 to Dec/2015. 75 were evaluable for PFS and OS. The median age was 57 years; 49 (65%) were stage III, and 9 (12%) were HIV+. HPV was evaluated in 67 and found in 47 (70.1%); HPV16 was the most common. PD-L1 was tested in 61; 10 (16.4%) had positive expression &gt; 1%. Ki-67 was performed in 65, with a median of 50% (range 1-90%). The median follow up is 66m. 5-year PFS and OS rates were 63.3% (95% CI 51.2-73.2%) and 76.4% (95% CI 64.8-84.6%), respectively. In a multivariate analysis, age (HR 1.06, P = 0.022, IC 95% 1.01-1.11) and absence of complete response at 6m (HR 3.36, P = 0.007, IC 95% 1.39-8.09) was associated with inferior OS. The OS rate was 62.5% in HIV+ group (95% CI 22.9-86%) in comparison with 78% (95% CI 65.7-86.3%) among HIV- pts, although this difference was not statistically significant (P = 0.400). A tendency to inferior OS was observed among pts with p53 codon 72 polymorphism (HR 2.83, P = 0.181, 95% CI 0.61-13.02). Other tumor mutations, HPV, Ki-67 expression, and PD-L1 expression, were not associated with PFS and OS. Conclusions: HIV- pts were 5.7 times more likely to achieve response 6m post CRT. The absence of complete response at 6m was the main factor associated with poor 5-year OS. New strategies of follow up and complementary treatment should be studied in late responders and HIV+ pts to ensure the success of curative treatment. Clinical trial information: 36211 .

Absence of Nuclear p16 Is a Diagnostic and Independent Prognostic Biomarker in Squamous Cell Carcinoma of the Cervix.

The tumor-suppressor protein p16 is paradoxically overexpressed in cervical cancer (CC). Despite its potential as a biomarker, its clinical value and the reasons for its failure in tumor suppression remain unclear. Our purpose was to determine p16 clinical and biological significance in CC. p16 expression pattern was examined by immunohistochemistry in 78 CC cases (high-grade squamous intraepithelial lesions (HSILs) and squamous cell carcinomas of the cervix –SCCCs). CC cell proliferation and invasion were monitored by real-time cell analysis and Transwell® invasion assay, respectively. Cytoplasmic p16 interactors were identified from immunoprecipitated extracts by liquid chromatography-tandem mass spectrometry, and colocalization was confirmed by double-immunofluorescence. We observed that SCCCs showed significantly more cytoplasmic than nuclear p16 expression than HSILs. Importantly, nuclear p16 absence significantly predicted poor outcome in SCCC patients irrespective of other clinical parameters. Moreover, we demonstrated that cytoplasmic p16 interacted with CDK4 and other unreported proteins, such as BANF1, AKAP8 and AGTRAP, which could sequester p16 to avoid nuclear translocation, and then, impair its anti-tumor function. Our results suggest that the absence of nuclear p16 could be a diagnostic biomarker between HSIL and SCCC, and an independent prognostic biomarker in SCCC; and explain why p16 overexpression fails to stop CC growth.

Arg399Gln XRCC1 Polymorphism and Risk of Squamous Cell Carcinoma of the Head and Neck in Jordanian Patients.

Background and Objective:X-ray repair cross-complementing group1 (XRCC1) is a key protein in base excision repair and closely associated with the coordination of the base excision repair pathway. Many studies have focused on XRCC1 SNPs and have shown an associated between these SNPs and the risk of several types of cancers, including head and neck cancer. There are many single nucleotide polymorphisms XRCC1 gene (SNPs) and the most common SNP that result in amino acid substitutions is exon 10 (Arg399Gln). This study aimed to investigate the association between Arg399Gln SNP and the risk of squamous cell carcinoma of the head and neck. Materials and Methods:Ninety nine patients with squamous cell carcinomas of the head and neck and 89 healthy adult controls were enrolled in this study. The Arg399Gln in XRCC1 allele was genotyped using polymerase chain reaction-restriction fragment length polymorphism method. Results:In the single-locus analyses, Arg399Gln SNP showed a significant association with head and neck cancer risk (p value = 0.016 and odd ratio of 1.8). On the genotype level, we applied three analysis models, namely co-dominant, dominant, and recessive genotypes. Arg/Arg homozygous major genotype was significantly (p value <0.05) associated with head and neck squamous cell carcinoma incidence with odd ratio of 2.23 and 2.24 for the co-dominant and recessive models, respectively. Conclusion:The findings indicated that Arg399Gln allele was associated with squamous cell carcinoma of the head and neck among Jordanian patients. This allele might be used as a genetic biomarker of squamous cell carcinoma of the head and neck.

Metabolic Biomarkers of Squamous Cell Carcinoma of the Aerodigestive Tract: A Systematic Review and Quality Assessment.

Introduction. Aerodigestive squamous cell carcinomas (ASCC) constitute a major source of global cancer deaths. Patients typically present with advanced, incurable disease, so new means of detecting early disease are a research priority. Metabolite quantitation is amenable to point-of-care analysis and can be performed in ASCC surrogates such as breath and saliva. The purpose of this systematic review is to summarise progress of ASCC metabolomic studies, with an emphasis on the critical appraisal of methodological quality and reporting. Method A systematic online literature search was performed to identify studies reporting metabolic biomarkers of ASCC. This review was conducted in accordance with the recommendations of the Cochrane Library and MOOSE guidelines. Results Thirty studies comprising 2117 patients were included in the review. All publications represented phase-I biomarker discovery studies, and none validated their findings in an independent cohort. There was heterogeneity in study design and methodological and reporting quality. Sensitivities and specificities were higher in oesophageal and head and neck squamous cell carcinomas compared to those in lung squamous cell carcinoma. The metabolic phenotypes of these cancers were similar, as was the kinetics of metabolite groups when comparing blood, tissue, and breath/saliva concentrations. Deregulation of amino acid metabolism was the most frequently reported theme. Conclusion Metabolite analysis has shown promising diagnostic performance, especially for oesophageal and head and neck ASCC subtypes, which are phenotypically similar. However, shortcomings in study design have led to inconsistencies between studies. To support future studies and ultimately clinical adoption, these limitations are discussed.

Expression profiling revealed keratins and interleukins as potential biomarkers in squamous cell carcinoma of horn in Indian bullocks (Bos indicus).

Horn cancer is most prevalent in Bos indicus and poorly defined genetic landscape makes disease diagnosis and treatment difficult. In this study, RNA-Seq and data analysis using CLC Genomics Workbench was employed to identify biomarkers associated with horn cancer. As a result, a total of 149 genes were found significant differentially expressed in horn cancer samples compared to horn normal samples. The study revealed 'keratins' and 'interleukins' as apex groups of significant differentially expressed genes (DEGs). Functional analysis showed that the upregulated keratins support metastasis of tumor via cell proliferation, migration, and affecting cell stability, while downregulated interleukins along with other associated chemokine receptors deprive the immune response to tumor posing clear path for metastasis of horn cancer. Combi-action of both the group facilitates the tumor microenvironment to reproduce tumorigenesis. Analysis of pathways enriched in DEGs and exemplified protein-protein interaction network indicated actual role of DEGs in horn cancer at a fine level. Important effect of deregulated expression of keratin and interleukin genes in horn cancer enrolling their candidacy as potential biomarkers for horn cancer prognosis. This study appraises the possibility to mitigate horn cancer at fine resolution to extract attainable identification of prognostic molecular portraits.

A prospective, multi-centre trial of multi-parametric MRI as a biomarker in anal carcinoma

Background and purposeTo investigate the role of multi-parametric magnetic resonance imaging (MP-MRI) as a biomarker for squamous cell carcinoma of the anal canal (SCCAC). Materials and methodsFrom January 2013 to January 2017, 25 patients with non-metastatic SCCAC were enrolled in a multi-centre prospective clinical trial, of whom 20 completed protocol treatment. MP-MRIs, incorporating diffusion weighted magnetic resonance imaging (DW-MRI) and dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) sequences, were performed before (baseline), during the second and fourth weeks of chemo-radiotherapy (CRT), and 8 weeks following treatment completion. Histogram analysis of multi-parametric maps generated maximum, mean, median, minimum, skewness, kurtosis, and standard deviation metrics. Exact logistic regression and ROC AUC analyses were performed for each metric at every timepoint. An elastic net LASSO logistic regression was also performed using all measures at each timepoint. ResultsWith a median follow up of 17.1 months, 3/20 patients had a local recurrence, and 5/20 had any recurrence. Several apparent diffusion coefficient (ADC) metrics extracted from DW-MRIs correlated with local recurrence and demonstrated excellent discrimination: baseline skewness (p = 0.04, ROC AUC 0.90) and standard deviation (SD) (p = 0.02, ROC AUC 0.90), week 2 skewness (p = 0.02, ROC AUC 0.91) and SD (p = 0.01, ROC AUC 0.94), week 4 kurtosis (p = 0.01, AUC 0.92) and SD (p = 0.01, ROC AUC 0.96). Changes in minimum ADC between baseline and week 2 (p = 0.02, ROC AUC 0.94) and baseline and week 4 (p = 0.02, ROC AUC 0.94) were prognostic for local recurrence. For prediction of any recurrence, ADC minimum (p = 0.02, ROC AUC 0.87) and SD (p = 0.01, ROC AUC 0.85) at baseline, and ADC maximum (p = 0.03, ROC AUC 0.77) and SD (p = 0.02, ROC AUC 0.81) at week 4 were significant. On LASSO logistic regression, ADC minimum and SD at baseline were retained for any recurrence. The only significant finding for DCE-MRI was a correlation of k-trans min at the second follow-up with local recurrence (p = 0.05, AUC 0.84). ConclusionSeveral ADC parameters at various time points correlate with recurrence suggesting DW-MRI is a potential biomarker for SCCAC.