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Posts tagged #LUAD

Thrilled to share our deconstruction of a p53 therapeutic response in #LUAD- a step toward drugging #undruggable #p53! Thanks to our amazing team and to Cancer Discovery @aacrjournals.bsky.social!

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Peripheral TERT- positive leukocytes as a biomarker of the local and systemic immune failure in early-stage lung adenocarcinoma progression - Molecular Biomedicine The prognosis of early-stage lung adenocarcinoma (LUAD) worsens significantly during the progression from adenocarcinoma in situ/minimally invasive adenocarcinoma (AIS/MIA) to invasive adenocarcinoma ...

#Research
Peripheral TERT- positive #leukocytes as a #biomarker of the local and systemic immune failure in early-stage lung adenocarcinoma progression doi.org/10.1186/s435...

#LungAdenocarcinoma #LUAD #Invasive #Adenocarcinoma #Immunosuppression

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Identification of PIWI-interacting RNAs based models for lung adenocarcinoma early detection: a multicenter cohort study - Molecular Biomedicine Early detection of lung adenocarcinoma (LUAD) remains a major clinical challenge despite the widespread application of low-dose computed tomography (LDCT). Circulating PIWI-interacting RNAs (piRNAs), ...

#Research
Identification of PIWI-interacting RNAs based models for lung adenocarcinoma early detection: a multicenter cohort study doi.org/10.1186/s435...

#LungAdenocarcinoma #LUAD #Piwi_interactingRNAs #EarlyDetection #NodulesStratification #MachineLearning

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FRA-RIG LUNG Cancer (TCGA-LUAD, sklearn demo): survival risk models TL;DR • Two survival models for TCGA-LUAD (PanCancer Atlas):    (A) outcome-aware (v4) — CV ROC-AUC ≈ 0.93 (leak-prone, for study only)   (B) honest baseline (v4.1) — CV ROC-AUC ≈ 0.76 (no outcome lea...

Two FRA-RIG-LUNG survival models for TCGA LUAD: one outcome-aware, one “honest” (no future leakage). Models, reports and sklearn code 📁 zenodo.org/records/1781...

#lungcancer #LUAD #TCGA #AIforHealth #bioinformatics #opensource #OpenData
#Alsky #MachineLearning #NeurosymbolicAI#BigData #Tech

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#Article in #MedComm_Oncology

LncRNA SNHG5/miR-363-3p/USP28 Axis Promotes Lung Adenocarcinoma Progression Through Enhancing β-Catenin Stabilization doi.org/10.1002/mog2...

#lncRNA #LUAD #miR_363_3p #SNHG5 #USP28 #β_catenin #SingalingPathway

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❄️ Don't miss our November Issue🌨️

📗 Cytomegalovirus (pp71-green) in primary prostate cancer (pan-keratin red)

📑 EACR Viewpoint on clinical KRAS/RAS inhibitors & novel strategies for RAS-mutant cancers @ciccancer.bsky.social

🔓 buff.ly/NpZSen9

#NSCLC #LUAD #Hypoxia #LungCancer

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This study reveals that CSC-derived EVs deliver #lncRNA ROLLCSC to #LUAD cells by reshaping #LipidMetabolism & boosting #Ferroptosis resistance. #medsky
#OpenAccess:
www.sciencedirect.com/science/arti...

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A comprehensive overview of the differences in genomic features, driver genes, & #epigenetic targets between #LUAD & LUSC, along with insights into distinct strategies & protocols for their clinical management. #medsky
#OpenAccess:

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Summarizing the differences in genomic features, driver genes & #epigenetic targets between #LUAD & LUSC, and the distinct strategies & protocols emerging in #chemotherapy, targeted therapy, & #immunotherapy for the clinical management of LUAD & LUSC. #medsky
#OpenAccess:
buff.ly/sph33Eu

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Loss of SPHK1 fuels inflammation to drive KRAS-mutated lung adenocarcinoma Inflammation is a widely recognized key contributor to KRAS-driven lung adenocarcinoma (LUAD). Tumor-associated macrophages (TAM) are an integral part…

Happy to see that my PhD project reached its completion.

In this study, we uncover how tumor-intrinsic loss of SPHK1 fuels inflammation-driven progression in KRAS-mutated LUAD

🔍 If you're interested in inflammation and KRAS cancers check it out

#kras #LUAD

www.sciencedirect.com/science/arti...

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Single-cell RNA sequencing for the identification of early-stage lung cancer biomarkers from circulating blood - npj Genomic Medicine npj Genomic Medicine - Single-cell RNA sequencing for the identification of early-stage lung cancer biomarkers from circulating blood

Single-cell RNA sequencing for the identification of early-stage lung cancer biomarkers from circulating blood

In this article, a #scRNA-seq analysis using Fluidigm C1 systems was performed to characterize human lung cancer transcriptomes at singlecell resolution.
#LUAD #NSCLC

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