Evidence map›Paper›PMID 33226961›Full record

ArticleAging2020

Single cell sequencing reveals cell populations that predict primary resistance to imatinib in chronic myeloid leukemia.

Weilong Zhang, Beibei Yang, Linqian Weng, Jiangtao Li, Jiefei Bai, Ting Wang, Jingwen Wang, Jin Ye, Hongmei Jing, Yuchen Jiao and 3 more

Abstract read
In one paragraph

Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Weilong ZhangDepartment of Hematology, Lymphoma Research Center, Peking University Third Hospital, Beijing 100191, China.
Beibei YangState Key Lab of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
Linqian WengDepartment of Hematology, Beijing Hospital, National Center of Gerontology, Beijing, China.
Jiangtao LiDepartment of Hematology, Beijing Hospital, National Center of Gerontology, Beijing, China.
Jiefei BaiDepartment of Hematology, Beijing Hospital, National Center of Gerontology, Beijing, China.
Ting WangDepartment of Hematology, Beijing Hospital, National Center of Gerontology, Beijing, China.
Jingwen WangDepartment of Hematology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Jin YeDepartment of Hematology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Hongmei JingDepartment of Hematology, Lymphoma Research Center, Peking University Third Hospital, Beijing 100191, China.
Yuchen JiaoState Key Lab of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
Xixi ChenGenetron Health (Beijing) Co. Ltd., Beijing 102206, China.
Hui LiuDepartment of Hematology, Beijing Hospital, National Center of Gerontology, Beijing, China.
Yi-Xin ZengState Key Lab of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The treatment of chronic myeloid leukemia (CML), a disease caused by t(9;22)(q34;q11) reciprocal translocation, has advanced largely through the use of targeted tyrosine kinase inhibitors (TKIs). To identify molecular differences that might distinguish TKI responders from non-responders, we performed single cell RNA sequencing on cells (n = 41,723 cells) obtained from the peripheral blood of four CML patients at different stages of treatment to generate single cell expression profiles. Analysis of our single cell expression profiles in conjunction with those previously obtained from the bone marrow of additional CML patients and healthy donors (total = 69,263 cells) demonstrated that imatinib treatment significantly altered leukocyte population compositions in both responders and non-responders, and affected the expression profiles of multiple cell populations, including non-neoplastic cell types. Notably, in imatinib poor-responders, patient-specific pre-treatment unique stem/progenitor cells became enriched in peripheral blood compared to the responders. These results indicate that resistance to TKIs might be intrinsic in some CML patients rather than acquired, and that non-neoplastic immune cell types may also play vital roles in dispersing the responsiveness of patients to TKIs. Furthermore, these results demonstrated the potential utility of peripheral blood as a diagnostic tool in the TKI sensitivity of CML patients.

Indexed as

TranscriptomeAdultAgedDrug Resistance, NeoplasmFemaleFusion Proteins, bcr-ablHumansImatinib MesylateLeukemia, Myelogenous, Chronic, BCR-ABL PositiveLeukocytes, MononuclearMaleMiddle AgedNeoplastic Stem CellsProtein Kinase InhibitorsRNA-SeqSingle-Cell AnalysisFusion Proteins, bcr-ablImatinib MesylateProtein Kinase Inhibitorschronic myeloid leukemiaperipheral immune structuresingle cell sequencingstem cellsTKI resistance

Identifiers

PMID33226961
PMCPMC7803567

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.