Evidence map›Paper›PMID 30834992›Full record

ReviewCurrent oncology reports2019

Cancer Biomarkers for Integrative Oncology.

Aniruddha Ganguly, David Frank, Nagi Kumar, Yung-Chi Cheng, Edward Chu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current oncology reports, 2019. 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
0.3field-weighted citation impact, top 36% 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, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  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

5 authors at 5 institutions in 1 country.

Aniruddha GangulyCancer Diagnosis Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute at the National Institutes of Health, 9609 Medical Center Drive, Rm. 4-W438, Rockville, MD, 20850, USA. gangulya@mail.nih.gov.
David FrankDana Farber Cancer Institute and Harvard Medical School, Boston, MA, 02215, USA.
Nagi KumarH. Lee Moffitt Cancer Center and Research Institute, University of South Florida, Tampa, FL, 33612, USA.
Yung-Chi ChengDepartment of Pharmacology, Developmental Therapeutics Program, Yale Cancer Center, Yale University School of Medicine, New Haven, CT, 06510, USA.
Edward ChuDepartment of Medicine, Cancer Therapeutics Program, UPMC Hillman Cancer Center, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15232, USA.
Dana-Farber Cancer Institute · USNational Institutes of Health · USUniversity of South Florida · USUPMC Hillman Cancer Center · USYale University · US

Funding

Clinical Study of PHY906, a Novel Chinese Herbal Medicine, as a Modulator of IrinP01CA154295 · NCI · YALE UNIVERSITY · PI CHENG, YUNG-CHI · 2011 to 2016
$6.4M
Dual STAT3/NF-kB Inhibitors for Targeted Cancer TherapyR01CA160979 · NCI · DANA-FARBER CANCER INST · PI FRANK, DAVID A. · 2012 to 2016
$1.8M
NCI NIH HHS P01 CA154295NCI NIH HHS R01 CA160979
6 · The paper itself

Abstract

purpose of reviewThere has been an increasing interest in using complementary and alternative medicine (CAM) approaches to treat cancer. It is therefore relevant and timely to determine if CAM biomarkers can be identified and developed to guide cancer diagnosis and treatment. Herein, we review the status of cancer biomarkers in CAM research and treatment to stimulate further research in this area. RECENT

findingsStudies on promising anti-cancer natural products, such as PHY906, honokiol, bryostatin-1, and sulforaphane have demonstrated the existence of potential cancer biomarker(s). Additional studies are required to further develop and ultimately validate these biomarkers that can predict clinical activity of the anti-cancer natural products used alone or in combination with chemotherapeutic agents. A systematic approach is needed to identify and develop CAM treatment associated biomarkers and to define their role in facilitating clinical decision-making. The expectation is to use these biomarkers in determining potential options for CAM treatment, examining treatment effects and toxicity and/or clinical efficacy in patients with cancer.

Indexed as

Integrative MedicineBiological ProductsBiomarkers, TumorComplementary TherapiesHumansMedical OncologyMedicine, TraditionalNeoplasmsBiological ProductsBiomarkers, TumorAnti-cancer herbal medicineAnti-cancer natural productBiomarkerCancer complementary and alternative medicine (CAM)Cancer diagnosticsIntegrative oncology

Identifiers

PMID30834992
OpenAlexW2920058896

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.