Genetic and Genomic Medicine

Low-dose chemotherapy combined with delayed immunotherapy in the neoadjuvant treatment of non-small cell lung cancer and dynamic monitoring of the drug response in peripheral blood

1. Chaoyang Liang
2. Qi Song
3. Wenhao Zhou
4. Na Li
5. Qi Xiong
6. Chaohu Pan
7. Shaohong Zhao
8. Xiang Yan
9. Xiaoling Zhang
10. Yaping Long
11. Juntang Guo
12. Tao Wang
13. Weiwei Shi
14. Shengjie Sun
15. Bo Yang
16. Zhouhuan Dong
17. Haitao Luo
18. Jie Li
19. Yi Hu
20. Bo Yang

• Curated by eLife

  eLife Assessment

  Liang et al. have conducted a small pilot study investigating the feasibility and tolerability of a regimen of neoadjuvant chemo-immunotherapy for non-small cell lung cancer, with lower cumulative dose of chemotherapy and with the immunotherapy delivered on D8 of each cycle. The clinical data are interesting and novel, and overall the findings of the study are valuable. However, the translational data and analyses are incomplete and do not support key claims in the title.

Reviewed by eLife

Mapping renal impairment and cardiac structure and function: a comprehensive analysis of prospective cohort study, Mendelian randomization and shared genetic etiology

1. Haozhang Huang
2. Jin Liu
3. Xiaozhao Lu
4. Shiqun Chen
5. Yang Zhou
6. Jiyan Chen
7. Ning Tan
8. Wei Jiang
9. Yong Liu

Reviewed by PREreview

Using Networks and Prior Knowledge to Uncover novel Rare Disease Phenotypes

1. Galadriel Brière
2. Cécile Beust
3. Morgane Térézol
4. Anaïs Baudot

Reviewed by PREreview

Imputation of structural variants using a multi-ancestry long-read sequencing panel enables identification of disease associations

1. Boris Noyvert
2. A Mesut Erzurumluoglu
3. Dmitriy Drichel
4. Steffen Omland
5. Till FM Andlauer
6. Stefanie Mueller
7. Lau Sennels
8. Christian Becker
9. Aleksandr Kantorovich
10. Boris A Bartholdy
11. Ingrid Brænne
12. Julio Cesar Bolivar-Lopez
13. Costas Mistrellides
14. Gillian M Belbin
15. Jeremiah H Li
16. Joseph K Pickrell
17. Jatin Arora
18. Yao Hu
19. Boehringer Ingelheim – Global Computational Biology and Digital Sciences
20. Clive R Wood
21. Jan M Kriegl
22. Nikhil Podduturi
23. Jan N Jensen
24. Jan Stutzki
25. Zhihao Ding

• Curated by eLife

  eLife Assessment

  This fundamental work significantly enhances our understanding of how structural variants influence human phenotypes. The conclusion is convincingly supported by rigorous analyses of long-read sequencing data. If the raw data are made publicly available, these high-quality datasets and findings will further advance our knowledge of genetic variation in the human population.

Reviewed by eLife