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Cancer-associated fibroblasts indicate inflamed immune features and drug response in small cell lung cancer

Authors: Yuanhua Lu; Li, Hui; Peiyan Zhao; Tian, Lin; Liu, Yan; Sun, XiaoDan; Cheng, Ying;

Cancer-associated fibroblasts indicate inflamed immune features and drug response in small cell lung cancer

Abstract

Supplementary methods and materials. Supplementary table S1: Gene signatures. Supplementary table S2: Sequences of primers for qRT-PCR and ChIP-PCR. Supplementary table S3: Sequences of siRNAs and shRNA. Supplementary table S4: Information of antibodies. Supplementary table S5: Univariate Cox regression analyses for overall survival and progression-free survival in the George’s cohort and GSE60052 cohort. Supplementary figure S1: Clustering CAF infiltration and evaluating the contribution of CAF to prognosis of SCLC. Supplementary figure S2: Association of CAFs with immune features in SCLC cohorts. Supplementary figure S3: Subtyping SCLC cases. Supplementary figure S4: Identification of NE and Non-NE cells and evaluation the effect of fibroblasts on proliferation of SCLC cells. Supplementary figure S5: Exploration of IL-6 and IL-6R in CAF-induced NE phenotypic reprogramming. Supplementary figure S6: Proliferation of SCLC cells upon treatment of siRNA or JAK inhibitor. Supplementary figure S7: Expression of MYC in SCLC cohorts.

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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