Cancer Biology

Notch signaling maintains a progenitor-like subclass of hepatocellular carcinoma

1. Kerstin Seidel
2. Robert Piskol
3. Thi Thu Thao Nguyen
4. Amy Shelton
5. Charisa Cottonham
6. Cecile C de la Cruz
7. Joseph Castillo
8. Jesse Garcia
9. Udi Segal
10. Mark Merchant
11. Yeqing Angela Yang
12. Jasmine Chen
13. Musa Ahmed
14. Alexis Scherl
15. Rajesh Vij
16. Lluc Mosteiro
17. Yan Wu
18. Zora Modrusan
19. Ciara Metcalfe
20. Chris Siebel

• Curated by eLife

  eLife Assessment

  In this valuable study, Seidel et al. identify and characterize a novel subset of hepatocellular carcinoma patient-derived xenograft models defined by active Jagged 1-Notch2 signaling and a distinctive progenitor-like gene expression profile. Within the limitations of the PDX system they used, their methods are state-of-the-art, their data are strong and believable, and their conclusions are convincing. However, the ability to identify HCC patients that might respond is limited, and the mechanistic assessment downstream of JAG1/NOTCH2 is relatively descriptive. Some additional clarifications and experiments would strengthen the paper.

Reviewed by eLife

STAMBPL1 activates the GRHL3/HIF1A/VEGFA axis through interaction with FOXO1 to promote angiogenesis in triple-negative breast cancer

1. Huan Fang
2. Huichun Liang
3. Chuanyu Yang
4. Dewei Jiang
5. Qianmei Luo
6. Wen-Ming Cao
7. Huifeng Zhang
8. Ceshi Chen

• Curated by eLife

  eLife Assessment

  The study conducted by Fang et al. offers significant and fundamental insights, notably enhancing our understanding of angiogenesis. While some of the claims are supported by convincing experimental approaches, others lack sufficient validation. Additionally, there are instances where critical experimental controls appear to be absent.

Reviewed by eLife

Propionyl-CoA carboxylase subunit B regulates anti-tumor T cells in a pancreatic cancer mouse model

1. Han V Han
2. Richard Efem
3. Barbara Rosati
4. Kevin Lu
5. Sara Maimouni
6. Ya-Ping Jiang
7. Valeria Montoya
8. Ando Van Der Velden
9. Wei-Xing Zong
10. Richard Z Lin

• Curated by eLife

  eLife assessment

  The significance of the findings is valuable, with implications for immunotherapy design in pancreatic ductal adenocarcinoma. The evidence was considered incomplete and partially supportive of the major claims.

Reviewed by eLife

Spatial multi-omics defines a shared glioblastoma infiltrative signature at the resection margin

1. Balagopal Pai
2. Susana Isabel Ramos
3. Wan Sze Cheng
4. Tanvi Joshi
5. Gabrielle Price
6. Jessica Tome-Garcia
7. German Nudelman
8. Sanjana Shroff
9. Kristin Beaumont
10. Yong Raymund
11. Robert Sebra
12. Elena Zaslavsky
13. Nadejda Mincheva Tsankova

Reviewed by PREreview

Tks5 interactome reveals ER-associated machinery translation in invadosomes

1. Léa Normand
2. Benjamin Bonnard
3. Margaux Sala
4. Sylvaine Di-Tommaso
5. Cyril Dourthe
6. Anne-Aurélie Raymond
7. Jean-William Dupuy
8. Luc Mercier
9. Jacky G. Goetz
10. Violaine Moreau
11. Elodie Henriet
12. Frédéric Saltel

Reviewed by Review Commons

Loss of ZNRF3/RNF43 Unleashes EGFR in Cancer

1. Fei Yue
2. Amy T Ku
3. Payton D Stevens
4. Megan N Michalski
5. Weiyu Jiang
6. Jianghua Tu
7. Zhongcheng Shi
8. Yongchao Dou
9. Yi Wang
10. Xin-Hua Feng
11. Galen Hostetter
12. Xiangwei Wu
13. Shixia Huang
14. Noah F Shroyer
15. Bing Zhang
16. Bart O Williams
17. Qingyun Liu
18. Xia Lin
19. Yi Li

• Curated by eLife

  eLife Assessment

  This manuscript presents solid evidence suggesting that the loss of ZNRF3 and RNF43, two E3 ubiquitin ligases, leads to dysregulation of EGFR signaling in cancer. The authors propose that EGFR is a direct substrate of ZNRF3/RNF43. While the authors provide immunoprecipitation data showing increased detection of ubiquitinated species, this evidence does not definitively establish that EGFR itself is ubiquitinated by RNF43/ZNRF3. The absence of direct evidence for EGFR ubiquitination is a major limitation, although the findings are useful as they may provide novel insights into the mechanisms underlying EGFR-driven cancers and open new therapeutic avenues.

Reviewed by eLife

Systemic and local chronic inflammation and hormone disposition promote a tumor-permissive environment for breast cancer in older women

1. Neil Carleton
2. Sanghoon Lee
3. Ruxuan Li
4. Jian Zou
5. Daniel D Brown
6. Jagmohan Hooda
7. Alexander Chang
8. Rahul Kumar
9. Linda R Klei
10. Lora H Rigatti
11. Joseph Newsome
12. Dixcy Jaba Sheeba John Mary
13. Jennifer M Atkinson
14. Raymond E West
15. Thomas D Nolin
16. Patrick J Oberly
17. Ziyu Huang
18. Donald Poirier
19. Emilia J Diego
20. Peter C Lucas
21. George Tseng
22. Michael T Lotze
23. Priscilla F McAuliffe
24. Ioannis K Zervantonakis
25. Steffi Oesterreich
26. Adrian V Lee

Reviewed by PREreview

Intrinsic bioenergetic adaptations compensate for reduced mitochondrial content in HER2-driven mammary tumors

1. Sara M Frangos
2. Henver S Brunetta
3. Dongdong Wang
4. Maria Joy Therese Jabile
5. David WL Ma
6. William J Muller
7. Cezar M Khursigara
8. Kelsey H Fisher-Wellman
9. Gregory R Steinberg
10. Graham P Holloway

• Curated by eLife

  eLife Assessment

  This useful study uses the MMTV-Neu-YD5 mouse model for HER2-dependent breast cancer to generate transcriptomic and proteomic datasets from extracted primary tumour samples. The data sets generated appear to be solid and will be of interest to the community. However, mechanistic studies to support the conclusion that mitochondrial function is increased in the tumours remain incomplete and would benefit from experiments that would directly interrogate aspects such as cellular heterogeneity, and signalling.

Reviewed by eLife

NAB2-STAT6 drives an EGR1-dependent neuroendocrine program in solitary fibrous tumors

1. Connor Hill
2. Alexandra Indeglia
3. Francis Picone
4. Maureen E Murphy
5. Cara Cipriano
6. Robert G Maki
7. Alessandro Gardini

• Curated by eLife

  eLife Assessment

  This study provides compelling data regarding the molecular characterization of a rare tumor type with few treatment options. This fundamental work significantly advances our mechanistic understanding of solitary fibrous tumours, a critical first step towards targeted precision medicine approaches. The results of this study will be of broad interest to cancer biologists and experimental oncologists.

Reviewed by eLife

Deuterium metabolic imaging phenotypes mouse glioblastoma heterogeneity through glucose turnover kinetics

1. Rui Vasco Simoes
2. Rafael Neto Henriques
3. Jonas L Olesen
4. Beatriz M Cardoso
5. Francisca F Fernandes
6. Mariana AV Monteiro
7. Sune N Jespersen
8. Tânia Carvalho
9. Noam Shemesh

• Curated by eLife

  eLife Assessment

  This study provides a valuable approach to image and analyze in vivo metabolic flux through glucose turnover kinetics in glioblastoma tumor microenvironments. The evidence for the method's validity is convincing, which establishes the dynamic Deuterium Metabolic Imaging technique as an effective tool enabling non-invasive exploration of various tumors.

Reviewed by eLife