Cancer Biology

Single-cell profiling reveals the intratumor heterogeneity and immunosuppressive microenvironment in cervical adenocarcinoma

1. Yang Peng
2. Yilin Li
3. Jixing Ao
4. Jia Shen
5. Xiang He
6. Dihong Tang
7. Chaonan Chu
8. Congrong Liu
9. Liang Weng

• Curated by eLife

  eLife assessment

  This manuscript is useful to researchers with an interest in cervical cancers because it provides scRNA-seq data from a diverse cohort of 15 early-stage cervical cancer patients. While the dataset could be of use to the research community, the key claims of the paper around the immunosuppressive microenvironment associated with specific tumour cell clusters (and the properties/importance of those clusters) are incomplete. Additional experiments will be required to substantiate these claims.

Reviewed by eLife

Post-transcriptional control drives Aurora kinase A expression in human cancers

1. Roberta Cacioppo
2. Deniz Rad
3. Giulia Pagani
4. Paolo Gandellini
5. Catherine Lindon

Reviewed by Review Commons

RGS10 deficiency facilitates distant metastasis by inducing epithelial–mesenchymal transition in breast cancer

1. Yang Liu
2. Yi Jiang
3. Peng Qiu
4. Tie Ma
5. Yang Bai
6. Jiawen Bu
7. Yueting Hu
8. Ming Jin
9. Tong Zhu
10. Xi Gu

• Curated by eLife

  eLife assessment

  This valuable paper first demonstrated that RGS10 was identified as a biomarker to evaluate the prognosis of breast cancer. To prevent the loss of RGS10 theoretically provide a new strategy for the treatment of breast cancer. The evidence supporting the claims of the authors is solid, although inclusion of a larger number of patient samples and an animal model would have strengthened the study. The work will be of interest to clinicians working on breast cancer.

Reviewed by eLife

Comparison of Tug-of-War Models Assuming Moran versus Branching Process Population Dynamics

1. Khanh N. Dinh
2. Monika K. Kurpas
3. Marek Kimmel

• Curated by eLife

  eLife assessment

  This study uses numerical simulations to characterize and compare variants of two widely used mathematical models and then applies those models to inferring evolutionary parameters from breast cancer data. The copious numerical results will be of some interest to mathematical biologists working with similar models. The finding that many breast cancer mutations are mildly deleterious is valuable but the evidence supporting this claim is incomplete because the mathematical modelling and statistical methods are insufficiently justified and inadequately validated.

Reviewed by eLife

STIL overexpression shortens lifespan and reduces tumor formation in mice

1. Amira-Talaat Moussa
2. Marco R. Cosenza
3. Timothy Wohlfromm
4. Katharina Brobeil
5. Anthony Hill
6. Annarita Patrizi
7. Karin Müller-Decker
8. Tim Holland-Letz
9. Anna Jauch
10. Bianca Kraft
11. Alwin Krämer

Reviewed by Review Commons

Identification of a Musashi2 translocation as a novel oncogene in myeloid leukemia

1. Kyle Spinler
2. Michael Hamilton
3. Jeevisha Bajaj
4. Yutaka Shima
5. Emily Diaz
6. Marcie Kritzik
7. Tannishtha Reya

• Curated by eLife

  eLife assessment

  The study presents important findings on the role of MSI2-HOXA9 translocation in chronic myeloid leukemia. The authors provide convincing evidence supporting the role of this translocation in leukemogenesis by using elegant mouse modeling and in vitro mechanistic studies. Consistent with the reviews, the studies can be strengthened with further murine and cell line experiments.

Reviewed by eLife

Unveiling chemotherapy-induced immune landscape remodeling and metabolic reprogramming in lung adenocarcinoma by scRNA-sequencing

1. Yiwei Huang
2. Gujie Wu
3. Guoshu Bi
4. Lin Cheng
5. Jiaqi Liang
6. Ming Li
7. Huan Zhang
8. Guangyao Shan
9. Zhengyang Hu
10. Zhencong Chen
11. Zongwu Lin
12. Wei Jiang
13. Qun Wang
14. Junjie Xi
15. Shanye Yin
16. Cheng Zhan

• Curated by eLife

  eLife assessment

  This study reports single-cell RNA sequencing results of lung adenocarcinoma, comparing 4 treatment-naive and 5 post-neoadjuvant chemotherpy tumor samples. Of interest is the delineation of two macrophage subtypes : Anti-mac cells (CD45+CD11b+CD86+) and Pro-mac cells (CD45+CD11b+ARG+), with the proportion of Pro-mac/pro-tumorigenic cells significantly increasing in LUAD tissues after neoadjuvant chemotherapy. In terms of significance, the findings might be useful but only if robust statistical comparisons (currently missing) can be provided. As it stands, the level of supportive evidence is inadequate.

Reviewed by eLife

RAPSYN-mediated neddylation of BCR-ABL alternatively determines the fate of Philadelphia chromosome-positive leukemia

1. Mengya Zhao
2. Beiying Dai
3. Xiaodong Li
4. Yixin Zhang
5. Chun Qiao
6. Yaru Qin
7. Zhao Li
8. Qingmei Li
9. Shuzhen Wang
10. Yong Yang
11. Yijun Chen

• Curated by eLife

  eLife assessment

  In this important study, the authors describe a novel function for RAPSYN in bcr-abl fusion associated leukemia, presenting convincing evidence that RAPSYN stabilizes the oncogenic BCR-ABL fusion protein. Compared to an earlier version of the manuscript, the authors have added data using primary samples that strengthen the conclusions.

Reviewed by eLife

Metabolite profiling of human renal cell carcinoma reveals tissue-origin dominance in nutrient availability

1. Keene L Abbott
2. Ahmed Ali
3. Bradley I Reinfeld
4. Amy Deik
5. Sonu Subudhi
6. Madelyn D Landis
7. Rachel A Hongo
8. Kirsten L Young
9. Tenzin Kunchok
10. Christopher S Nabel
11. Kayla D Crowder
12. Johnathan R Kent
13. Maria Lucia L Madariaga
14. Rakesh K Jain
15. Kathryn E Beckermann
16. Caroline A Lewis
17. Clary B Clish
18. Alexander Muir
19. W Kimryn Rathmell
20. Jeffrey Rathmell
21. Matthew G Vander Heiden

• Curated by eLife

  eLife assessment

  This study provides an important finding that the local abundance of metabolites impacts the biology of the tumor microenvironment by utilizing kidney tumors from patients and adjacent normal tissues. The evidence supporting the claims of the authors is convincing. The work will of interest to the research community working on metabolism and kidney cancer especially.

Reviewed by eLife

mTORC1/S6K1 signaling promotes sustained oncogenic translation through modulating CRL3IBTK-mediated ubiquitination of eIF4A1 in cancer cells

1. Dongyue Jiao
2. Huiru Sun
3. Xiaying Zhao
4. Yingji Chen
5. Zeheng Lv
6. Qing Shi
7. Yao Li
8. Chenji Wang
9. Kun Gao

• Curated by eLife

  eLife assessment

  This study reports a novel substrate and a mediator of oncogenesis downstream of mTORC1, a fundamental advance in our understanding of the mechanistic basis of mTORC1-regulated cap-dependent translation and protein synthesis. Using an array of biochemical, proteomic and functional assays, the authors provide compelling evidence for a novel mTORC1/S6K1-IBTK-eIF4A1 signaling axis that promotes cancer pathogenic translation. This work is of broad interest and significance, given the importance of aberrant protein synthesis in cancer.

Reviewed by eLife