Evidence map›Paper›PMID 32542231›Full record

ArticleAnnals of breast cancer and therapy2020

Unmet Clinical Need: Developing Prognostic Biomarkers and Precision Medicine to Forecast Early Tumor Relapse, Detect Chemo-Resistance and Improve Overall Survival in High-Risk Breast Cancer.

Gagan Gupta, Caroline Dasom Lee, Mary L Guye, Robert E Van Sciver, Michael P Lee, Alex C Lafever, Anthony Pang, Angela M Tang-Tan, Janet S Winston, Billur Samli and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Annals of breast cancer and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

13 citing papers in PubMed, 23 citations in OpenAlex.

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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 at 4 institutions in 1 country.

Gagan GuptaDepartment of Microbiology and Molecular Cell Biology, Leroy T. Canoles Jr. Cancer Research Center, Eastern Virginia Medical School, USA.
Caroline Dasom LeeDepartment of Microbiology and Molecular Cell Biology, Leroy T. Canoles Jr. Cancer Research Center, Eastern Virginia Medical School, USA.
Mary L GuyeSentara Surgery Specialists, Sentara CarePlex Hospital, USA.
Robert E Van SciverDepartment of Microbiology and Molecular Cell Biology, Leroy T. Canoles Jr. Cancer Research Center, Eastern Virginia Medical School, USA.
Michael P LeeDepartment of Microbiology and Molecular Cell Biology, Leroy T. Canoles Jr. Cancer Research Center, Eastern Virginia Medical School, USA.
Alex C LafeverDepartment of Microbiology and Molecular Cell Biology, Leroy T. Canoles Jr. Cancer Research Center, Eastern Virginia Medical School, USA.
Anthony PangDepartment of Microbiology and Molecular Cell Biology, Leroy T. Canoles Jr. Cancer Research Center, Eastern Virginia Medical School, USA.
Angela M Tang-TanDepartment of Molecular and Cell Biology, University of California, USA.
Janet S WinstonDepartment of Pathology, Pathology Sciences Medical Group, Sentara Norfolk General Hospital, USA.
Billur SamliDepartment of Pathology, Pathology Sciences Medical Group, Sentara Norfolk General Hospital, USA.
Rick J JansenDepartment of Public Health, North Dakota State University, USA.
Richard A HoeferSentara Cancer Network, Sentara Hospital Systems, USA.
Amy H TangDepartment of Microbiology and Molecular Cell Biology, Leroy T. Canoles Jr. Cancer Research Center, Eastern Virginia Medical School, USA.
Eastern Virginia Medical School · USSentara CarePlex Hospital · USSentara Norfolk General Hospital · USDakota State University · US

Funding

SIAH2-Dependent Proteolysis in Cell Migration, Tumor Growth and Cancer MetastasisR01CA140550 · NCI · EASTERN VIRGINIA MEDICAL SCHOOL · PI TANG, AMY H. · 2010 to 2014
$1.4M
NCI NIH HHS R01 CA140550
6 · The paper itself

Abstract

Chemo-resistant breast cancer is a major barrier to curative treatment for a significant number of women with breast cancer. Neoadjuvant chemotherapy (NACT) is standard first- line treatment for most women diagnosed with high-risk TNBC, HER2+, and locally advanced ER+ breast cancer. Current clinical prognostic tools evaluate four clinicopathological factors: Tumor size, LN status, pathological stage, and tumor molecular subtype. However, many similarly treated patients with identical residual cancer burden (RCB) following NACT experience distinctly different tumor relapse rates, clinical outcomes and survival. This problem is particularly apparent for incomplete responders with a high-risk RCB classification following NACT. Therefore, there is a pressing need to identify new prognostic and predictive biomarkers, and develop novel curative therapies to augment current standard of care (SOC) treatment regimens to save more lives. Here, we will discuss these unmet needs and clinical challenges that stand in the way of precision medicine and personalized cancer therapy.

Indexed as

Chemo-resistant breast cancerClinicopathological predictorsHigh-risk breast cancerLocally advanced breast cancerNeoadjuvant chemotherapyRelapsed and metastatic breast cancerTherapy-responsive and prognostic biomarker for future clinical applicationTumor-driving RAS/SIAH/EGFR/ HER2 signaling pathways in breast cancer

Identifiers

PMID32542231
PMCPMC7295150
OpenAlexW3021255378

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.