Evidence map›Paper›PMID 40893229›Full record

ArticleACS omega2025

Novel Aza-podophyllotoxin Derivative Inhibits Growth of Triple-Negative Breast Cancer.

Arpit Dheeraj, Fernando Jose Garcia Marques, Blake Chennai, Dhanir Tailor, Abel Bermudez, Benedikt Grau, Carrsyn B Haley, Sharon Pitteri, Sanjay V Malhotra

Abstract read
In one paragraph

Article in ACS omega, 2025. 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

9 authors.

Arpit DheerajDepartment of Cell, Developmental and Cancer Biology, Oregon Health & Science University, Portland, Oregon 97239, United States.ORCID https://orcid.org/0000-0002-1034-5075
Fernando Jose Garcia MarquesDepartment of Radiology, Canary Center at Stanford for Cancer Early Detection, Stanford University School of Medicine, Palo Alto, California 94304, United States.
Blake ChennaiCenter for Experimental Therapeutics, Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon 97239, United States.
Dhanir TailorDepartment of Cell, Developmental and Cancer Biology, Oregon Health & Science University, Portland, Oregon 97239, United States.
Abel BermudezDepartment of Radiology, Canary Center at Stanford for Cancer Early Detection, Stanford University School of Medicine, Palo Alto, California 94304, United States.
Benedikt GrauDepartment of Cell, Developmental and Cancer Biology, Oregon Health & Science University, Portland, Oregon 97239, United States.
Carrsyn B HaleyCenter for Experimental Therapeutics, Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon 97239, United States.
Sharon PitteriDepartment of Radiology, Canary Center at Stanford for Cancer Early Detection, Stanford University School of Medicine, Palo Alto, California 94304, United States.ORCID https://orcid.org/0000-0002-3119-873X
Sanjay V MalhotraDepartment of Cell, Developmental and Cancer Biology, Oregon Health & Science University, Portland, Oregon 97239, United States.ORCID https://orcid.org/0000-0003-4056-5033

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC), the most aggressive type of breast cancer, has high rates of metastasis and recurrence and represents 15-20% of diagnosed breast cancer cases. Most women with TNBC experience recurrence following curative treatment for early-stage breast cancer. We have identified CET022, a novel small molecule, and shown

Identifiers

PMID40893229
PMCPMC12391947

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.