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Deciphering the genomic, epigenomic and transcriptomic landscapes of pre-invasive lung cancer lesions to determine prognosis II

ABSTRACT: Deciphering the genomic, epigenomic and transcriptomic landscapes of pre-invasive lung cancer lesions to determine prognosis II

PROVIDER: PRJNA422415 | ENA |

REPOSITORIES: ENA

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Deciphering the genomic, epigenomic and transcriptomic landscapes of pre-invasive lung cancer lesions to determine prognosis

Project description:Deciphering the genomic, epigenomic and transcriptomic landscapes of pre-invasive lung cancer lesions to determine prognosis

| PRJNA422524 | ENA

Deciphering the genomic, epigenomic and transcriptomic landscapes of pre-invasive lung cancer lesions to determine prognosis III

Project description:Deciphering the genomic, epigenomic and transcriptomic landscapes of pre-invasive lung cancer lesions to determine prognosis III

| PRJNA422525 | ENA

Deciphering the genomic, epigenomic and transcriptomic landscapes of pre-invasive lung cancer lesions to determine prognosis II

Project description:Background: Lung carcinoma-in-situ (CIS) lesions are the pre-invasive precursor to lung squamous cell carcinoma. However, only half progress to invasive cancer in three years, while a third spontaneously regress. Whether modern molecular profiling techniques can identify those pre-invasive lesions that will subsequently progress and distinguish them from those that will regress is unknown. Methods: Progressive and regressive CIS lesions were laser-captured and their genome, epigenome and transcriptome interrogated. We analysed 83 progressive lesions, 41 regressive and 33 normal epithelial control samples. DNA methylation and gene expression profiles were further validated using publicly available lung cancer data. Results: Somatic mutation burden was higher in progressive lesions than regressive CIS lesions, across base substitutions, rearrangements, insertions and deletions. Driver mutations were present in both progressive and regressive CIS lesions, but were more numerous in progressive cases. Progressive and regressive CIS lesions had distinct epigenomic and transcriptional profiles, with a strong chromosomal instability signature. Gene expression, methylation and copy number profiles can all predict accurately which CIS lesions will progress to lung cancer. Conclusion: Pre-invasive CIS lesions that will subsequently progress to invasive lung cancer can be distinguished from those that will regress using molecular profiling. Progression is associated with a strong chromosomal instability signature. These findings inform the development of novel therapeutic targets.

2019-01-01 | GSE108082 | GEO

Deciphering the genomic, epigenomic and transcriptomic landscapes of pre-invasive lung cancer lesions to determine prognosis I

Project description:Rationale: Lung carcinoma-in-situ (CIS) lesions are the pre-malignant precursor to lung squamous cell carcinoma. However, only half progress to invasive cancer in three years, while a third spontaneously regress. Whether modern molecular profiling techniques can identify those preinvasive lesions that will subsequently progress and distinguish them from those that will regress is unknown. We performed gene expression microarrays on CIS lesions, with a view to deriving a molecular signature predictive of future progression to invasive cancer.

2019-01-01 | GSE94611 | GEO

Deciphering the genomic, epigenomic and transcriptomic landscapes of pre-invasive lung cancer lesions to determine prognosis III

2019-01-01 | GSE108123 | GEO

Deciphering the genomic, epigenomic and transcriptomic landscapes of pre-invasive lung cancer lesions to determine prognosis

Project description:This SuperSeries is composed of the SubSeries listed below.

2019-01-01 | GSE108124 | GEO

Deciphering the genomic, epigenomic, and transcriptomic landscapes of pre-invasive lung cancer lesions.

Project description:The molecular alterations that occur in cells before cancer is manifest are largely uncharted. Lung carcinoma in situ (CIS) lesions are the pre-invasive precursor to squamous cell carcinoma. Although microscopically identical, their future is in equipoise, with half progressing to invasive cancer and half regressing or remaining static. The cellular basis of this clinical observation is unknown. Here, we profile the genomic, transcriptomic, and epigenomic landscape of CIS in a unique patient cohort with longitudinally monitored pre-invasive disease. Predictive modeling identifies which lesions will progress with remarkable accuracy. We identify progression-specific methylation changes on a background of widespread heterogeneity, alongside a strong chromosomal instability signature. We observed mutations and copy number changes characteristic of cancer and chart their emergence, offering a window into early carcinogenesis. We anticipate that this new understanding of cancer precursor biology will improve early detection, reduce overtreatment, and foster preventative therapies targeting early clonal events in lung cancer.

| S-EPMC7614970 | biostudies-literature

Homo sapiens

Project description:Deciphering the genomic, epigenomic and transcriptomic landscapes of pre-invasive lung cancer lesions to determine prognosis I

| PRJNA371618 | ENA

ATLANTIC: Activity landscapes of tumor cell lines determine drug responses

Project description:Analysis of cancer cell line (CCL) genomes, proteomes and phenotypic drug responses are emerging approaches to uncover molecular mechanisms of drug action. We extended this paradigm to measuring proteome activity landscapes by integrating quantitative data for 10,000 proteins and 55,000 phosphorylation sites from 125 CCLs with large drug sensitivity data collections. To engage the scientific community in mining the thousands of novel functional associations generated by this work, we provide an interactive web resource termed ATLANTIC (http://atlantic.proteomics.wzw.tum.de). For instance, we found that Progesterone Receptor (PGR) phosphorylation is a stronger drug response predictor than PGR expression alone in hormone receptor positive breast cancer patients. We also demonstrate that Adenylate kinase isoenzyme 1 (AK1) inactivates chemotherapeutic drugs such as Cytarabine. Consequently, high AK1 levels correlated with poor survival of Cytarabine-treated acute myelogenous leukemia patients qualifying AK1 as a treatment stratification and drug response marker and possibly as a drug target.

2020-07-27 | PXD013615 | Pride

Transcriptome and microbiome-immune changes across preinvasive and invasive anal cancer lesions

Project description:Anal squamous cell carcinoma (ASCC) is a rare gastrointestinal malignancy that is linked to high-risk Human papillomavirus (HPV) infection. It is often preceded by precursor lesions like Low-Grade Squamous Intraepithelial Lesions (LGSIL) and High-Grade Squamous Intraepithelial Lesions (HGSIL). The incidence of ASCC varies across populations, with heightened risk in HIV-positive individuals. In a previous study, we characterized the anal microbiome in high-risk HIV-exposed MSM and TGW subjects. We revealed oncogenic viromes and pertinent bacterial species associated with anal SILs. Our current investigation aimed to delineate transcriptomic and metatranscriptomic changes during the progression from precancerous lesions to ASCC. We collected 70 anal tissue samples across various lesion stages (LGSIL, HGSIL, and ASCC). Our metatranscriptomic analysis revealed that Fusobacterium nucleatum, F. gonidiaformans, Bacteroides fragilis, Campylobacter ureolyticus, and Cribacterium bergeronii were more prevalent in ASCC than in precancerous lesions. These bacterial species contributed with gene encoding enzymes (e.g.: Acca, glyQ, eno, pgk and por) and oncoproteins (FadA and dnaK) revealing potential new markers for diagnosis or treatment approaches. Our unsupervised transcriptome analysis identified two distinct sample clusters based on histological diagnosis, immune infiltrate, HIV and HPV status, and pathway activities such as immune activation, cell cycle, and antiviral signaling that recapitulate the natural history of anal cancer progression. Mutations were observed affecting KMT2C (30%), PIK3CA (21%), EP300 (21%) and NOTCH1 (13%) cancer driver genes among ASCC but also in precancerous lesions. Our study provides insights into the molecular mechanisms governing anal cancer progression, offering valuable information that may help to stratify HGSIL cases with low- or high-risk progression to the malignant stages.

2024-08-04 | GSE253560 | GEO

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