high-level python api  (Transcriptic)

Journal: Genes

Article Title: Multi-Omics Analysis of CDKN2A (p16INK4a) in Cervical Carcinoma in the Context of Human Papillomavirus and in Endometrial Carcinoma

doi: 10.3390/genes17030281

Figure Lengend Snippet: Overview of the multi-omics analytical workflow used to investigate CDKN2A in gynecologic cancers. Public datasets were screened for differential expression, validated across clinicopathological, protein, and transcriptomic levels, followed by survival and immune-infiltration analyses and independent GEO validation, culminating in integrated diagnostic and prognostic interpretation.

Article Snippet: To further validate CDKN2A transcript levels across various malignancies, RNA sequencing data from the TCGA dataset integrated in the Human Protein Atlas (HPA) were analyzed ( ).

Techniques: Biomarker Discovery, Quantitative Proteomics, Diagnostic Assay

Journal: Genes

Article Title: Multi-Omics Analysis of CDKN2A (p16INK4a) in Cervical Carcinoma in the Context of Human Papillomavirus and in Endometrial Carcinoma

doi: 10.3390/genes17030281

Figure Lengend Snippet: CDKN2A expression profile across different cancer types using the TIMER database. Distributions of CDKN2A expression levels are displayed using box plots; red box plots mean that CDKN2A is up regulated, and blue box plots mean it is down-regulated (**: p -value <0.001; ***: p -value < 0.0001).

Article Snippet: To further validate CDKN2A transcript levels across various malignancies, RNA sequencing data from the TCGA dataset integrated in the Human Protein Atlas (HPA) were analyzed ( ).

Techniques: Expressing

Journal: Genes

Article Title: Multi-Omics Analysis of CDKN2A (p16INK4a) in Cervical Carcinoma in the Context of Human Papillomavirus and in Endometrial Carcinoma

doi: 10.3390/genes17030281

Figure Lengend Snippet: Gene expression among the significant cancer types using the GEPIA database. Each box plot represents the expression of CDKN2A; red box plots refer to up-regulation, and grey box plots represent down regulation. * indicates statistical significance ( p < 0.05).

Article Snippet: To further validate CDKN2A transcript levels across various malignancies, RNA sequencing data from the TCGA dataset integrated in the Human Protein Atlas (HPA) were analyzed ( ).

Techniques: Gene Expression, Expressing

Journal: Genes

Article Title: Multi-Omics Analysis of CDKN2A (p16INK4a) in Cervical Carcinoma in the Context of Human Papillomavirus and in Endometrial Carcinoma

doi: 10.3390/genes17030281

Figure Lengend Snippet: CDKN2A expression analysis based on TCGA data using the UALCAN database. ( A ) CDKN2A expression in cervical squamous cell carcinoma (CESC) according to sample type (normal vs. tumor), individual cancer stages (Stage I–IV), patient race (Caucasian, African American, and Asian), and age groups (21–40, 41–60, 61–80, and 81–100 years). ( B ) CDKN2A expression in uterine corpus endometrial carcinoma (UCEC) according to sample type (normal vs. tumor), individual cancer stages (Stage I–IV), patient race (Caucasian, African American, and Asian), and age groups (21–40, 41–60, 61–80, and 81–100 years). Statistical significance is indicated as follows: *** p < 0.0001.

Article Snippet: To further validate CDKN2A transcript levels across various malignancies, RNA sequencing data from the TCGA dataset integrated in the Human Protein Atlas (HPA) were analyzed ( ).

Techniques: Expressing

Journal: Genes

Article Title: Multi-Omics Analysis of CDKN2A (p16INK4a) in Cervical Carcinoma in the Context of Human Papillomavirus and in Endometrial Carcinoma

doi: 10.3390/genes17030281

Figure Lengend Snippet: CDKN2A Immunohistochemistry in Cervical Cancer and Normal Cervix. Representative IHC staining of CDKN2A in cervical tissues (Human Protein Atlas). Strong expression: ( a – c ) CESC tumor tissues showing intense nuclear and cytoplasmic staining. Moderate expression: ( d – f ) CESC tumor tissues with moderate staining. Low expression: ( g – i ) CESC tumor tissues with weak staining. Normal tissues: ( j , k ) Normal cervical epithelium showing minimal/absent staining.

Article Snippet: To further validate CDKN2A transcript levels across various malignancies, RNA sequencing data from the TCGA dataset integrated in the Human Protein Atlas (HPA) were analyzed ( ).

Techniques: Immunohistochemistry, Expressing, Staining

Journal: Genes

Article Title: Multi-Omics Analysis of CDKN2A (p16INK4a) in Cervical Carcinoma in the Context of Human Papillomavirus and in Endometrial Carcinoma

doi: 10.3390/genes17030281

Figure Lengend Snippet: CDKN2A Immunohistochemistry in Endometrial Cancer and Normal Uterus. Representative IHC staining of CDKN2A in endometrial tissues (Human Protein Atlas). Strong expression: ( a – c ) UCEC tumor tissues showing strong nuclear and cytoplasmic staining. Moderate expression: ( d – f ) UCEC tumor tissues with moderate staining. Low expression: ( g – i ) UCEC tumor tissues with low/weak staining. Normal tissues: ( j – l ) Normal endometrial glandular epithelium with minimal staining.

Article Snippet: To further validate CDKN2A transcript levels across various malignancies, RNA sequencing data from the TCGA dataset integrated in the Human Protein Atlas (HPA) were analyzed ( ).

Techniques: Immunohistochemistry, Expressing, Staining

Journal: Genes

Article Title: Multi-Omics Analysis of CDKN2A (p16INK4a) in Cervical Carcinoma in the Context of Human Papillomavirus and in Endometrial Carcinoma

doi: 10.3390/genes17030281

Figure Lengend Snippet: CDKN2A Protein Expression Across Cancers (HPA Pathology Atlas). Bar chart summary of CDKN2A protein expression across 17 cancer types, based on immunohistochemistry. The y -axis shows percentage of patient samples with moderate to strong cytoplasmic/nuclear staining. Cervical cancer (~90%) and Endometrial cancer (~65%) exhibited a high proportion of CDKN2A-positive cases, confirming elevated protein expression in gynecological malignancies.

Article Snippet: To further validate CDKN2A transcript levels across various malignancies, RNA sequencing data from the TCGA dataset integrated in the Human Protein Atlas (HPA) were analyzed ( ).

Techniques: Expressing, Immunohistochemistry, Staining

Journal: Genes

Article Title: Multi-Omics Analysis of CDKN2A (p16INK4a) in Cervical Carcinoma in the Context of Human Papillomavirus and in Endometrial Carcinoma

doi: 10.3390/genes17030281

Figure Lengend Snippet: CDKN2A RNA Expression in Multiple Cancers (HPA/TCGA). Boxplot analysis of CDKN2A mRNA expression in tumor versus normal tissues across multiple cancer types, derived from RNA-seq data (TCGA) presented in the Human Protein Atlas. Significant overexpression was observed in renal cell carcinoma ( p < 2 × 10 −7 ). Expression differences in CESC (uterine cervical squamous cell carcinoma) and UCEC (endometrioid adenocarcinoma) were not statistically significant. These data emphasize tumor-specific variability and support the need for multi-level validation (RNA and protein) in gynecological cancers. In each panel, the left box represents normal tissue and the right box represents tumor tissue.

Article Snippet: To further validate CDKN2A transcript levels across various malignancies, RNA sequencing data from the TCGA dataset integrated in the Human Protein Atlas (HPA) were analyzed ( ).

Techniques: RNA Expression, Expressing, Derivative Assay, RNA Sequencing, Over Expression, Biomarker Discovery

Journal: Genes

Article Title: Multi-Omics Analysis of CDKN2A (p16INK4a) in Cervical Carcinoma in the Context of Human Papillomavirus and in Endometrial Carcinoma

doi: 10.3390/genes17030281

Figure Lengend Snippet: The Kaplan–Meier overall survival curves illustrate a comparison between high and low CDKN2A expression groups, as determined by median stratification. The red lines represent the high-expression cohorts, while the blue lines denote the low-expression cohorts. The shaded or dotted regions indicate 95% confidence intervals. Statistical significance was assessed using the log-rank test, and hazard ratios were calculated through Cox proportional hazards modeling. Log-rank p = 0.0055; HR = 2.9 (95% CI: 1.35–6.12). Notably, tumor-specific differences in prognostic association are evident between CESC ( A ) and UCEC ( B ).

Article Snippet: To further validate CDKN2A transcript levels across various malignancies, RNA sequencing data from the TCGA dataset integrated in the Human Protein Atlas (HPA) were analyzed ( ).

Techniques: Comparison, Expressing

Journal: Genes

Article Title: Multi-Omics Analysis of CDKN2A (p16INK4a) in Cervical Carcinoma in the Context of Human Papillomavirus and in Endometrial Carcinoma

doi: 10.3390/genes17030281

Figure Lengend Snippet: Kaplan–Meier overall survival curves showing exploratory associations between CDKN2A expression, immune cell infiltration levels, and patient survival in cervical squamous cell carcinoma (CESC) and uterine corpus endometrial carcinoma (UCEC). Analyses were performed using the TIMER web platform. Patients were stratified into high and low groups based on median expression or infiltration levels (top vs. bottom 50%). Red curves represent high-level groups and blue curves represent low-level groups. Statistical significance was assessed using the log-rank test, with corresponding p -values shown in each panel. Time is expressed in months. These plots are presented for visualization of immune-related trends, while cancer-specific prognostic conclusions were derived from independent GEPIA survival analyses.

Article Snippet: To further validate CDKN2A transcript levels across various malignancies, RNA sequencing data from the TCGA dataset integrated in the Human Protein Atlas (HPA) were analyzed ( ).

Techniques: Expressing, Derivative Assay

Journal: Genes

Article Title: Multi-Omics Analysis of CDKN2A (p16INK4a) in Cervical Carcinoma in the Context of Human Papillomavirus and in Endometrial Carcinoma

doi: 10.3390/genes17030281

Figure Lengend Snippet: Volcano plots showing differential gene expression in ( A ) cervical cancer dataset GSE9750 and ( B ) endometrial cancer dataset GSE63678 . Each dot represents an individual gene; green dots indicate upregulated, red dots indicate downregulated genes, and grey dots represent non-significant genes. CDKN2A is highlighted among the significantly upregulated genes ( p < 0.05).

Article Snippet: To further validate CDKN2A transcript levels across various malignancies, RNA sequencing data from the TCGA dataset integrated in the Human Protein Atlas (HPA) were analyzed ( ).

Techniques: Gene Expression