Evidence map›Paper›PMID 41881965›Full record

ArticleCell death discovery2026

A novel PAAoptosis-inducing ERRα-targeting compound for combating hematopoietic and solid cancers.

Wonhyoung Seo, Yerim Heo, Khang Vuong Tran, So-Young Kim, Eun Jung Bae, Bokeum Jung, Sang-Hee Lee, Taylor Roh, Sang Min Jeon, Kyung Tae Kim and 8 more

Abstract read
In one paragraph

Article in Cell death discovery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

18 authors.

Wonhyoung Seo *Department of Medical Science, Chungnam National University College of Medicine, Daejeon, Republic of Korea.
Yerim Heo *Department of Chemistry, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea.
Khang Vuong Tran *Department of Nuclear Medicine, Chonnam National University Medical school, Hwasun, Republic of Korea.
So-Young KimDepartment of Nuclear Medicine, Chonnam National University Medical school, Hwasun, Republic of Korea.
Eun Jung BaeSK Chemicals Co., Ltd., Seoul, Republic of Korea.
Bokeum JungDepartment of Pre-medicine, Chungnam National University College of Medicine, Daejeon, Republic of Korea.
Sang-Hee LeeCenter for Bio-imaging & Translational Research (104-Dong), Korea Basic Science Institute, Cheongju, South Korea.
Taylor RohDepartment of Medical Science, Chungnam National University College of Medicine, Daejeon, Republic of Korea.ORCID http://orcid.org/0000-0002-6399-1257
Sang Min JeonDepartment of Medical Science, Chungnam National University College of Medicine, Daejeon, Republic of Korea.
Kyung Tae KimDepartment of Medical Science, Chungnam National University College of Medicine, Daejeon, Republic of Korea.
Eun-Jin ParkDepartment of Medical Science, Chungnam National University College of Medicine, Daejeon, Republic of Korea.
Soo In KimDepartment of Medical Science, Chungnam National University College of Medicine, Daejeon, Republic of Korea.
Jeong Suk KohDivision of Hematology/Oncology, Department of Internal Medicine, Chungnam National University College of Medicine, Daejeon, Republic of Korea.
Ik-Chan SongDivision of Hematology/Oncology, Department of Internal Medicine, Chungnam National University College of Medicine, Daejeon, Republic of Korea.ORCID http://orcid.org/0000-0002-6938-970X
Hyun Kyu SongDepartment of Life Sciences, Korea University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0001-5684-4059
Jung-Joon MinDepartment of Nuclear Medicine, Chonnam National University Medical school, Hwasun, Republic of Korea. jjminmd@gmail.com.
Jin Hee AhnDepartment of Chemistry, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea. jhahn@gist.ac.kr.
Eun-Kyeong JoDepartment of Medical Science, Chungnam National University College of Medicine, Daejeon, Republic of Korea. hayoungj@cnu.ac.kr.ORCID http://orcid.org/0000-0001-7191-0587

Funding

Korea Basic Science Institute (KBSI) C523311National Research Foundation of Korea (NRF) RS-2023-00255021National Research Foundation of Korea (NRF) RS-2025-00513245
6 · The paper itself

Abstract

Estrogen-related receptor-α (ERRα; NR3B1) is an orphan nuclear receptor that drives the progression of several cancers. To develop novel ERRα-targeting therapeutics, we designed and evaluated the function of a new compound, PAMT-001, which interacts with ERRα and effectively suppresses tumorigenesis. We demonstrated a significant interaction between ERRα and PAMT-001 using protein-small molecule binding assays and luciferase assays. Although PAMT-001 exhibited lower activity compared to the established ERRα inverse agonist XCT-790, it showed stronger anticancer effects against both hematological and solid tumors. Mechanistically, PAMT-001 promoted combined cell death mechanisms in tumors. It disrupted mitochondrial respiratory function and structure, leading to excessive production of reactive oxygen species and endoplasmic reticulum stress, ultimately resulting in apoptotic cell death. Additionally, PAMT-001 induced excessive autophagy, contributing to cancer cell death, as well as gasdermin E-mediated pyroptosis in acute myeloid leukemia and colon cancer cells. Furthermore, PAMT-001 demonstrated potential for use in precision medicine, particularly for patients with chemotherapy-resistant and NPM1-mutated acute myeloid leukemia. PAMT-001 is a potent ERRα-targeting anticancer agent capable of inducing anticancer effects through pyroptosis, autophagic cell death, and apoptosis-a newly termed mechanism referred to as "PAAoptosis." It holds significant potential for the treatment of both hematological and solid cancers.

Identifiers

PMID41881965
PMCPMC13139410

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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.