HIST1H1B Promotes Basal-Like Breast Cancer Progression by Modulating CSF2 Expression

Liao, Ruocen; Chen, Xingyu; Cao, Qianhua; Wang, Yifan; Miao, Zhaorui; Lei, Xingyu; Jiang, Qianjin; Chen, Jie; Wu, Xuebiao; Li, Xiaoli; Li, Jun; Dong, Chenfang

doi:10.3389/fonc.2021.780094

Cited by 11 publications

(8 citation statements)

References 28 publications

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“…We observed 26 genes with degrees >20, most of which are HIST1H family genes, in addition to ESR, HSPA4, TNF, and EHMT2 genes. HIST1H gene set expression was reported to be positively correlated with large tumor size, high grade, metastasis, and poor survival in patients with breast cancer (Liao et al, 2021), which were used as prognostic factors for survival prediction among patients with cervical cancer (Li et al, 2017). The PPI network for shared risk genes is shown in Figure 4.…”

Section: Results Of Protein-protein Interaction Network Analysismentioning

confidence: 99%

A genome-wide cross-cancer meta-analysis highlights the shared genetic links of five solid cancers

et al. 2023

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Breast, ovarian, prostate, lung, and head/neck cancers are five solid cancers with complex interrelationships. However, the shared genetic factors of the five cancers were often revealed either by the combination of individual genome-wide association study (GWAS) approach or by the fixed-effect model-based meta-analysis approach with practically impossible assumptions. Here, we presented a random-effect model-based cross-cancer meta-analysis framework for identifying the genetic variants jointly influencing the five solid cancers. A comprehensive genetic correlation analysis (genome-wide, partitioned, and local) approach was performed by using GWAS summary statistics of the five cancers, and we observed three cancer pairs with significant genetic correlation: breast–ovarian cancer (rg = 0.221, p = 0.0003), breast–lung cancer (rg = 0.234, p = 7.6 × 10−6), and lung–head/neck cancer (rg = 0.652, p = 0.010). Furthermore, a random-effect model-based cross-trait meta-analysis was conducted for each significant cancer pair, and we found 27 shared genetic loci between breast and ovarian cancers, 18 loci between breast and lung cancers, and three loci between lung and head/neck cancers. Functional analysis indicates that the shared genes are enriched in human T-cell leukemia virus 1 infection (HTLV-1) and antigen processing and presentation (APP) pathways. Our study investigates the shared genetic links across five solid cancers and will help to reveal their potential molecular mechanisms.

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Section: Results Of Protein-protein Interaction Network Analysismentioning

confidence: 99%

A genome-wide cross-cancer meta-analysis highlights the shared genetic links of five solid cancers

et al. 2023

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“…In addition, high levels of KLF10 are associated with a favorable prognosis in patients with HNSC ( 32 ). Colony-stimulating factor 2 ( CSF2 ) plays an important role in macrophage polarization ( 33 ) and may be associated with poor prognosis in breast cancer and colorectal cancer ( 34 , 35 ). However, further investigations on the role of GHRL and RORB in HNSC are warranted.…”

Section: Discussionmentioning

confidence: 99%

Acircadian rhythm-related gene signature for predicting survival and drug response in HNSC

Zhang

Dang²,

Wang³

et al. 2022

Front. Immunol.

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Head and neck squamous cell carcinoma (HNSC) represents one of the most common malignant carcinomas worldwide. Because the 5-year survival rate of patients with HNSC is poor, it is necessary to develop an effective signature for predicting the risk of HNSC. To identify a circadian rhythm (CR)-related predictive signature, we analyzed the RNA-seq data of patients with HNSC from The Cancer Genome Atlas and Gene Expression Omnibus cohorts. Nine CR-related genes (PER2, PER3, GHRL, CSF2, HDAC3, KLF10, PRKAA2, PTGDS, and RORB) were identified to develop a CR-related signature. The area under the curve values for 5-year overall survival were 0.681, 0.700, and 0.729 in the training set, validation set, and an external independent test set (GSE41613), respectively. The Kaplan‒Meier curve analysis showed that the high-risk group had a reduced relapse-free survival compared with the low-risk group in the training set, validation set, and test set (P < 0.05). Finally, we observed that the CR-related gene signature was associated with the tumor immune microenvironment, somatic nucleotide variation, and drug response in HNSC. In conclusion, we developed a circadian rhythm-related gene signature for predicting overall survival in HNSC.

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“…HIST1H2BH along with PLK1 might serve as a prognostic biomarker of non-small cell lung cancer patients [ 19 ]. HIST1H1B mRNA expression was significantly higher in breast cancer tissue than normal breast tissue in basal-like breast cancer (BLBC) [ 20 ]. HIST1H1B protein was also significantly higher in breast cancer tissue compared to normal breast tissue.…”

Section: Discussionmentioning

confidence: 99%

“…HIST1H1B protein was also significantly higher in breast cancer tissue compared to normal breast tissue. As such it was proposed that HIST1H1B has the potential to be a therapeutic target of BLBC given its association with breast cancer aggressiveness [ 20 ].…”

Section: Discussionmentioning

confidence: 99%

Investigation of Transcriptome Patterns in Endometrial Cancers from Obese and Lean Women

Takenaka

Curry‐Hyde

Olzomer

et al. 2022

IJMS

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Endometrial cancer is the most common gynaecological malignancy in developed countries. One of the largest risk factors for endometrial cancer is obesity. The aim of this study was to determine whether there are differences in the transcriptome of endometrial cancers from obese vs. lean women. Here we investigate the transcriptome of endometrial cancer between obese and lean postmenopausal women using rRNA-depleted RNA-Seq data from endometrial cancer tissues and matched adjacent non-cancerous endometrial tissues. Differential expression analysis identified 12,484 genes (6370 up-regulated and 6114 down-regulated) in endometrial cancer tissues from obese women, and 6219 genes (3196 up-regulated and 3023 down-regulated) in endometrial cancer tissues from lean women (adjusted p-value < 0.1). A gene ontology enrichment analysis revealed that the top 1000 up-regulated genes (by adjusted p-value) were enriched for growth and proliferation pathways while the top 1000 down-regulated genes were enriched for cytoskeleton restructure networks in both obese and lean endometrial cancer tissues. In this study, we also show perturbations in the expression of protein coding genes (HIST1H2BL, HIST1H3F, HIST1H2BH, HIST1H1B, TTK, PTCHD1, ASPN, PRELP, and CDH13) and the lncRNA MBNL1-AS1 in endometrial cancer tissues. Overall, this study has identified gene expression changes that are similar and also unique to endometrial cancers from obese vs. lean women. Furthermore, some of these genes may serve as prognostic biomarkers or, possibly, therapeutic targets for endometrial cancer.

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HIST1H1B Promotes Basal-Like Breast Cancer Progression by Modulating CSF2 Expression

Cited by 11 publications

References 28 publications

A genome-wide cross-cancer meta-analysis highlights the shared genetic links of five solid cancers

A genome-wide cross-cancer meta-analysis highlights the shared genetic links of five solid cancers

Acircadian rhythm-related gene signature for predicting survival and drug response in HNSC

Investigation of Transcriptome Patterns in Endometrial Cancers from Obese and Lean Women

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