Evidence map›Paper›PMID 36164943›Full record

ArticleCancer research and treatment2023

Comprehensive Molecular Characterization of Soft Tissue Sarcoma for Prediction of Pazopanib-Based Treatment Response.

Jung Yong Hong, Hee Jin Cho, Kum-Hee Yun, Young Han Lee, Seung Hyun Kim, Wooyeol Baek, Sang Kyum Kim, Yurimi Lee, Yoon-La Choi, Minsuk Kwon and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Cancer research and treatment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 31% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Review
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

12 authors at 5 institutions in 3 countries.

Jung Yong HongDivision of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Hee Jin ChoDepartment of Biomedical Convergence Science and Technology, Kyungpook National University, Daegu, Korea.
Kum-Hee YunDivision of Medical Oncology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea.
Young Han LeeDepartment of Radiology, Yonsei University College of Medicine, Seoul, Korea.
Seung Hyun KimDepartment of Orthopedic Surgery, Yonsei University College of Medicine, Seoul, Korea.
Wooyeol BaekInstitute for Human Tissue Restoration, Department of Plastic & Reconstructive Surgery, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
Sang Kyum KimDepartment of Pathology, Yonsei University College of Medicine, Seoul, Korea.
Yurimi LeeDepartment of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Yoon-La ChoiDepartment of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Minsuk KwonDepartment of Hematology-Oncology, Ajou University School of Medicine, Suwon, Korea.
Hyo Song KimDivision of Medical Oncology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea.
Jeeyun LeeDivision of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Yonsei University · KRSamsung Medical Center · KRAjou University · KRKyungpook National University · KRSungkyunkwan University · KR

Funding

Ministry of Science and ICTNational Research Foundation of Korea 2021R1A2C1094530Samsung Medical CenterYonsei University College of Medicine 6-2019-0187
6 · The paper itself

Abstract

purposeEven though pazopanib, a multitargeted tyrosine kinase inhibitor, has been approved for refractory soft tissue sarcoma (STS), little is known about the molecular determinants of the response to pazopanib. We performed integrative molecular characterization to identify potential predictors of pazopanib efficacy. Materials and Methods: We obtained fresh pre-treatment tumor tissue from 35 patients with advanced STS receiving pazopanib-based treatment. Among those, 18 (51.4%) received pazopanib monotherapy, and the remaining 17 (48.6%) received pazopanib in combination with durvalumab, programmed death-ligand 1 blockade. Whole-exome and transcriptome sequencing were performed for each tumor and patient germline DNA.

resultsOf the 35 patients receiving pazopanib-based treatment, nine achieved a partial response (PR), resulting in an objective response rate (ORR) of 27.3%, and the median progression-free survival (PFS) was 6.0 months. Patients with CDK4 amplification (copy ratio tumor to normal > 2) exhibited shorter PFS (3.7 vs. 7.9 months, p=2.09×10-4) and a poorer response (ORR; 0% vs. 33.3%) compared to those without a gene amplification (copy ratio ≤ 2). Moreover, non-responders demonstrated transcriptional activation of CDK4 via DNA amplification, resulting in cell cycle activation. In the durvalumab combination cohort, seven of the 17 patients (41.2%) achieved a PR, and gene expression analysis revealed that durvalumab responders exhibited high immune/stromal cell infiltration, mainly comprising natural killer cells, compared to non-responders as well as increased expression of CD19, a B-cell marker.

conclusionDespite the limitation of heterogeneity in the study population and treatment, we identified possible molecular predictors of pazopanib efficacy that can be employed in future clinical trials aimed at evaluating therapeutic strategies.

Indexed as

SarcomaHumansIndazolesPyrimidinesSulfonamidesIndazolespazopanibPyrimidinesSulfonamidesImmune checkpoint inhibitorsPazopanibSoft tissue sarcomaWhole exome sequencingsWhole transcriptome sequencing

Identifiers

PMID36164943
PMCPMC10101793
OpenAlexW4297102724

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.