Cancer Biology

Mapping kinase domain resistance mechanisms for the MET receptor tyrosine kinase via deep mutational scanning

1. Gabriella O Estevam
2. Edmond Linossi
3. Jingyou Rao
4. Christian B Macdonald
5. Ashraya Ravikumar
6. Karson M Chrispens
7. John A Capra
8. Willow Coyote-Maestas
9. Harold Pimentel
10. Eric A Collisson
11. Natalia Jura
12. James S Fraser

• Curated by eLife

  eLife Assessment

  This manuscript provides an important overview of potential resistance mutations within MET Receptor Tyrosine Kinase. The evidence supporting the findings is convincing - it should be pointed out that the approach is comparatively new for the application of protein kinases and the results are therefore of potentially great value. The results will be of value for clinicians facing drug resistance mutations, computational biologists who are training models of drug resistance mechanisms and biologists with an interest in cell signaling.

Reviewed by eLife

Non-destructive in situ monitoring of structural changes of 3D tumor spheroids during the formation, migration, and fusion process

1. Ke Ning
2. Yuanyuan Xie
3. Wen Sun
4. Lingke Feng
5. Can Fang
6. Rong Pan
7. Yan Li
8. Ling Yu

• Curated by eLife

  eLife Assessment

  The ingenious design in this study achieved the observation of 3D cell spheroids from an additional lateral view and gained more comprehensive information than the traditional one angle of imaging. This extended the methods to investigate cell behaviors in the growth or migration of tumor organoids in a time-lapse manner and these extensions should be important to the field. The authors provide compelling evidence that the methods work as described.

Reviewed by eLife

Replication stress-inducing ELF3 upregulation promotes BRCA1-deficient breast tumorigenesis in luminal progenitors

1. Jiadong Zhou
2. Xiao Albert Zhou
3. Li Hu
4. Yujie Ma
5. Jun Zhan
6. Zhanzhan Xu
7. Mei Zhou
8. Qinjian Shen
9. Zhaofei Liu
10. Shaohua Ma
11. Yuntao Xie
12. Jiadong Wang

• Curated by eLife

  eLife Assessment

  In this fundamental study, the authors describe ELF3 as a candidate driver of luminal progenitor transformation, such that its up-regulation during replicative stress conditions and in BRCA1 deficient cells may permit cell proliferation by suppressing genome instability. While the work is certainly of interest, the supporting data remain incomplete as luminal progenitor cells could not be isolated, which would be needed in order to definitively determine whether ELF3 is a driver of transformation in these cells. Overall this paper may offer insight into mechanisms by which BRCA1 deficiency fuels breast tumorigenesis.

Reviewed by eLife

Eliminating Aggressive Cancers via PROTAC-like Inducers of Ferroptosis

1. Avital Oknin-Vaisman
2. Deepanjan Panda
3. Rostislav Novak
4. Eliya Bitman-Lotan
5. Nikolett Pahor
6. Yamen Abu Ahmed
7. Guy Kamnesky
8. Markus E. Diefenbacher
9. Ashraf Brik
10. Amir Orian

Reviewed by Arcadia Science

Metastatic small cell lung cancer arises from TP53/RB1-deficient and MYC overproduction hESC-derived PNECs

1. Huanhuan Joyce Chen
2. Eric E Gardner
3. Yajas Shah
4. Kui Zhang
5. Abhimanyu Thakur
6. Chen Zhang
7. Olivier Elemento
8. Harold Varmus

• Curated by eLife

  eLife Assessment

  Given a great need for novel human model systems to study small cell lung cancer (SCLC), the authors describe an important pre-clinical model with broad potential for the study of how genetic perturbations or drug treatments alter SCLC tumor growth, metastasis, and response to therapy. For the major finding, the authors provide convincing evidence that RB/TP53 suppression coupled with MYC overexpression in an ES cell-derived model system results in aggressive and metastatic SCLC. However, the impact of the work would have been increased with the inclusion of a broader set of genetic perturbations, such as over-expression of MYCL, to better model major SCLC phenotypes. The new model described will be of significant interest to researchers studying lung cancer.

Reviewed by eLife

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

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

• Curated by eLife

  eLife Assessment

  In this useful manuscript, the authors performed scRNA-seq on a diverse cohort of 15 early-stage cervical cancer patients. Correlative data is provided to support the possible establishment of an immunosuppressive microenvironment near SCL26A3+ cells, and an association of these cells with upstaging at time of surgery. However without more extensive validation, the evidence supporting the conclusions remains incomplete. Overall, this paper will provide a potentially helpful dataset for researchers studying cervical cancer.

Reviewed by eLife

Targeting the Hippo pathway in cancers via ubiquitination dependent TEAD degradation

1. Trang H Pham
2. Kanika Bajaj Pahuja
3. Thijs J Hagenbeek
4. Jason Zbieg
5. Cameron L Noland
6. Victoria C Pham
7. Xiaosai Yao
8. Christopher M Rose
9. Kristen C Browder
10. Ho-June Lee
11. Mamie Yu
12. May Liang-Chu
13. Scott Martin
14. Erik Verschueren
15. Jason Li
16. Marta H Kubala
17. Rina Fong
18. Maria Lorenzo
19. Paul Beroza
20. Peter Hsu
21. Sayantanee Paul
22. Elisia Villemure
23. Wendy Lee
24. Tommy K Cheung
25. Saundra Clausen
26. Jennifer Lacap
27. Yuxin Liang
28. Jason Cheng
29. Steve Schmidt
30. Zora Modrusan
31. Michael Cohen
32. James Crawford
33. Heinrich Jasper
34. Alan Ashworth
35. Jennie R Lill
36. Shiva Malek
37. Joachim Rudolph
38. Ingrid E Wertz
39. Matthew T Chang
40. Xin Ye
41. Anwesha Dey

• Curated by eLife

  eLife Assessment

  This important study describes two findings: first, that TEAD is subject to turnover by the ubiquitin-proteasome system involving RNF146 and Parylation, and second, the development of a pan-TEAD heterobifunctional degrader that is used to inhibit growth of a YAP-dependent cancer cell line and to characterize TEAD binding sites in the genome. Convincing evidence supports the development and specificity of the degrader. This article will be of relevance to cancer biologists and scientists interested in proteostasis, cellular signaling, and post-translation modification of proteins.

Reviewed by eLife

Establishing the foundations for a data-centric AI approach for virtual drug screening through a systematic assessment of the properties of chemical data

1. Allen Chong
2. Ser-Xian Phua
3. Yunzhi Xiao
4. Woon Yee Ng
5. Hoi Yeung Li
6. Wilson Wen Bin Goh

• Curated by eLife

  eLife Assessment

  This study reports valuable findings that highlight the importance of data quality and data representation for ligand-based virtual screening experiments. The authors' claims are supported by solid evidence, although the conclusions have been inferred from only two datasets. The work would gain much impact if additional datasets were used. The main findings will be of interest to cheminformaticians and medicinal chemists working in QSAR modeling, and possibly in other areas related to machine learning.

Reviewed by eLife

Finding novel vulnerabilities of hypomorphic BRCA1 alleles

1. Anne Schreuder
2. Klaas de Lint
3. Mariana M. Góis
4. Rosalie A. Kampen
5. Marta San Martin Alonso
6. Ilse Nootenboom
7. Veronica Garzero
8. Rob M. F. Wolthuis
9. Sylvie M. Noordermeer

Reviewed by Review Commons

Stochastic variation in the FOXM1 transcription program mediates replication stress tolerance

1. Hendrika A. Segeren
2. Kathryn A. Wierenga
3. Frank M. Riemers
4. Elsbeth A. van Liere
5. Bart Westendorp

Reviewed by Review Commons