📢 Delighted to share our latest publication in the British Journal of Cancer
https://t.co/fBNHqZJHc3 This work evaluates the impact of social drivers of health on time to breast cancer surgery. Important implications for equity in cancer treatment. @WCMPopHealthSci
📣 Excited to share our new work! Integrating genetics (PRS) with AI-based mammography (Mirai) improves breast cancer risk prediction, moving us closer to precision prevention. #BreastCancer#AI#PrecisionMedicine@BCRFcure@WCMPopHealthSci https://t.co/h9AQgSUoLM
I am proud to see the official launch of the Obesity, Metabolic Health and Cancer Research Program at @KUcancercenter - a first of its kind for an NCI-designated or comprehensive cancer center!
https://t.co/6dQwALSKUf
In a new study in Nature Genetics (https://t.co/xTlknsg0dl), we show that primary PDAC cells transcriptionally mimic major cell types of the liver (hepatocyte) or lung (bronchoalveolar) before migrating to those sites (metastasis). We observed the same phenomenon in several other cancer types, such as CRC, prostate and breast. Specifically, it is a 10-year prospective cohort snRNAseq study of PDAC patients with initial metastatic recurrence in either liver or lung:
👉In malignant compartment:
1) patients with liver initial metastasis have worse prognosis. The same pattern was observed in several different cancer types profiled in MSK-MET cohort (a targeted genomic study of top 505 genes implicated in cancer).
2) primary PDAC cells transcriptionally mimic the parenchymal cells of the metastatic site (lung vs liver), leading to successful seeding and colonization. We observed the same pattern in the primary and metastatic lesions of several different cancer types profiled in MET500 (metastatic lesions) and METMAP500 (primary cell lines). In sum, we did not identify specific tumor genomic alternations or genes as sole drivers of PDAC metastatic organotropism.
3) we report two single-cell signatures for liver vs lung recurrence in primary PDAC (applicable to other cancer types). The signatures can also be used to score bulk RNAseq samples.
4) a preliminary deep learning model (https://t.co/1fJCjTnuND) has been trained on the primary TME of our patients that predicts liver vs non-liver recurrence for new patients (single-cell transcriptomic data).
👉In non-malignant compartment:
. we identify a new shorter potential route to cancer directly from ADM subpopulation. We show this route is enriched with patients with lung initial metastasis, while the classical route from atypical ductal cells is enriched with those with liver initial metastasis.
👉In CAF compartment:
· we identify a new CAF population, pCAF, enriched with axonogenesis/axon guidance programs. pCAF was the main source of CXCL12 in the CAF compartment which together with CXCR4 are implicated in invasive PDACs. Enrichment of axonogenesis/axon guidance in pCAFs implies its role in neoinnervation.
👉In immune compartment:
1) while patients with liver initial metastasis were enriched with protumorigenic lymphocytes, patients with lung initial metastasis were enriched with proinflammatory but mostly exhausted lymphocytes.
2) among detected inhibitory immune checkpoints, TIGIT is the dominant exhaustion marker.
🙏 Special thanks to Amit Dipak for excellent protocol optimizing and library prep, Joy Fan and Mingxuan Zhang from Elham Aziz lab Lab for running Echidna for this cohort, and Drs. Alex Raufi, Michael Kluger, John Chabot and Anil Rustgi for their valuable insights and comments.
👉This paper should be read with:
https://t.co/tZplLTM63l
https://t.co/3xzFsgUeWN
my website: https://t.co/g3XE0EKeu0
👉Similar research articles:
https://t.co/ckiXTh5W2l
https://t.co/zSLQx51B4w
https://t.co/g5easAgtfe
https://t.co/b5lQpvIen0
https://t.co/xTlknsg0dl
I am excited of receiving the National Cancer Institute (NCI) SoCa Grant for the Nurses’ Health Study I and II. In this study,will study the complex associations of environmental factors on mammographic features predictive of breast cancer.
A study from @ShadiAzam and @rtamimi in @nature_npj Breast Cancer suggests a positive association between C-peptide and breast cancer risk. Learn more: https://t.co/IizSs6IXGT
A study from @ShadiAzam and @rtamimi in @nature_npj Breast Cancer suggests a positive association between C-peptide and breast cancer risk. Learn more: https://t.co/IizSs6IXGT
A study in The Journal of Nutrition (@ScienceDirect) from @ShadiAzam and @rtamimi evaluates the connection between certain dietary patterns, chronic inflammation, and breast cancer risk. Learn more: https://t.co/OXYXihvxfV
📢 Happy to see our study on Inflammatory “Dietary Pattern and Mammographic Features” using Nurses’s Health study I and II cohort is online now in The Journal of Nutrition @SOJ_Nutritional@StoverLab@rtamimi@WCMPopHealthSci https://t.co/mCYZnVXvMs