Evidence map›Paper›PMID 41738426›Full record

ArticleCancer prevention research (Philadelphia, Pa.)2026

Bench-to-Bedside Evaluation of Sulforaphane/BroccoMax® on Fatty Acid Synthesis in Prostate Cancer.

Eun-Ryeong Hahm, Bruce L Jacobs, Krishna B Singh, Su-Hyeong Kim, Rahul Parikh, Daniel P Normolle, Rajiv Dhir, Tunde Oyebamiji, Xuejiao Sun, Yang Liu and 3 more

Abstract read
In one paragraph

Article in Cancer prevention research (Philadelphia, Pa.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Eun-Ryeong HahmUniversity of Pittsburgh Pittsburgh, PA United States.ORCID 0000-0002-3197-4575
Bruce L JacobsUniversity of Pittsburgh Pittsburgh, PA United States.ORCID 0000-0003-1358-0764
Krishna B SinghUniversity of Pittsburgh Cancer Institute Pittsburgh, PA United States.ORCID 0000-0002-4052-4373
Su-Hyeong KimUniversity of Pittsburgh Cancer Institute Pittsburgh, PA United States.ORCID 0000-0003-2071-613X
Rahul ParikhUniversity of Kansas Medical Center Kansas City, KS United States.ORCID 0000-0002-3372-7914
Daniel P NormolleUniversity of Pittsburgh Pittsburgh, PA United States.ORCID 0000-0001-8675-5014
Rajiv DhirUniversity of Pittsburgh Pittsburgh, PA United States.ORCID 0000-0001-6424-6112
Tunde OyebamijiUniversity of Pittsburgh Pittsburgh, PA United States.ORCID 0000-0001-9357-4166
Xuejiao SunUniversity of Pittsburgh Pittsburgh United States.ORCID 0000-0001-7294-0817
Yang LiuUniversity of Illinois Urbana-Champaign Urbana, IL United States.ORCID 0000-0002-6388-9674
Leonard J ApplemanUniversity of Pittsburgh Cancer Institute Pittsburgh, PA United States.ORCID 0000-0003-4951-7388
Stacy L GelhausUniversity of Pittsburgh Pittsburgh, PA United States.ORCID 0000-0001-9083-6933
Shivendra V SinghUniversity of Pittsburgh Pittsburgh, PA United States.ORCID 0000-0002-3733-144X

Funding

VECTOR CORE FACILITYP30CA047904 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHRISTOPHER J. BAKKENIST · 1988 to 2026
$158.0M
The Center for Label-free Imagingand Multiscale Biophotonics (CLIMB)P41EB031772 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Stephen A Boppart · 2022 to 2026
$7.6M
Biomarkers of Sulforaphane/Broccoli Sprout Extract in Prostate CancerR01CA225716 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SINGH, SHIVENDRA · 2019 to 2023
$2.8M
Imaging nanoscale chromatin folding in early carcinogenesisR01CA254112 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LIU, YANG · 2020 to 2025
$2.2M
An Exploris 240 for MetabolomicsS10OD032141 · OD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GELHAUS, STACY LYNN · 2022 to 2022
$600k
Bringing Untargeted Metabolomics to PittS10OD023402 · OD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GELHAUS, STACY LYNN · 2018 to 2018
$594k
NCI NIH HHS P30 CA047904NCI NIH HHS R01 CA225716NCI NIH HHS R01 CA254112NIBIB NIH HHS P41 EB031772NIH HHS S10 OD023402NIH HHS S10 OD032141
6 · The paper itself

Abstract

Fatty acid synthesis pathway is a valid target for prevention of prostate cancer. However, a clinical grade inhibitor of fatty acid synthesis is still lacking. This bench-to-bedside study was undertaken to determine the feasibility of fatty acid synthesis inhibition using broccoli constituent sulforaphane (SFN) and its clinical grade formulation BroccoMax® (BMAX). Oral administration of SFN to Hi-Myc mice resulted in inhibition of prostate adenocarcinoma burden by about 61% that was accompanied by a significant decrease in prostate tumor levels of c-Myc and PCNA proteins and increased apoptosis. Expression of acetyl-CoA carboxylase 1 (ACC1) and fatty acid synthase (FASN) were lower by about 46% and 31%, respectively, in the prostate tumor of SFN-treated mice when compared to that of control mice (P < 0.001). Plasma levels of total free fatty acids (TFFA), cholesterol, and total phospholipids were decreased significantly following SFN treatment. In a double-blind clinical trial, patients with histologically confirmed prostate cancer were randomized to the BMAX group (n= 19) or placebo group (n= 22). Patients were treated with 4 capsules BMAX or 4 capsules of matching placebo orally two times daily after breakfast and dinner for 4 weeks. Prostate tumor expression of c-Myc, ACC1, FASN, and Ki-67 proteins were significantly lower in the BMAX arm when compared to PBO group. However, serum or prostate tumor level of acetyl-CoA or TFFA was not decreased by BMAX treatment. A longer duration treatment with BMAX in early-stage prostate cancer patients may be necessary to lower circulating or prostate tumor level of TFFA.

Identifiers

PMID41738426
PMCPMC13034680

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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.