Evidence map›Paper›PMID 34858818›Full record

ArticleFrontiers in oncology2021

Combined Use of cyclinD1 and Ki67 for Prognosis of Luminal-Like Breast Cancer Patients.

Junmei Hao, Wenfeng Zhang, Yan Lyu, Jiarui Zou, Yunyun Zhang, Jiahong Lyu, Jianbo Zhang, Shuishan Xie, Cuiping Zhang, Jiandi Zhang and 1 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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  7. The role and mechanism of AMPK in pulmonary hypertension.Therapeutic advances in respiratory disease
    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

11 authors.

Junmei HaoDepartment of Pathology, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, China.
Wenfeng ZhangYantai Quanticision Diagnostics, Inc., Yantai, China.
Yan LyuYantai Quanticision Diagnostics, Inc., Yantai, China.
Jiarui ZouDepartment of Pathology, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, China.
Yunyun ZhangYantai Quanticision Diagnostics, Inc., Yantai, China.
Jiahong LyuYantai Quanticision Diagnostics, Inc., Yantai, China.
Jianbo ZhangYantai Quanticision Diagnostics, Inc., Yantai, China.
Shuishan XieDepartment of Pathology, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, China.
Cuiping ZhangDepartment of Pathology, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, China.
Jiandi ZhangYantai Quanticision Diagnostics, Inc., Yantai, China.
Fangrong TangYantai Quanticision Diagnostics, Inc., Yantai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKi67 is a biomarker of proliferation to be used in immunohistochemistry (IHC)-based surrogate assay to determine the necessity of cytotoxic therapy for Luminal-like breast cancer patients. cyclinD1 is another frequently used biomarker of proliferation. A retrospective study was performed here to investigate if these two biomarkers may be combined to improve the prognosis of Luminal-like patients.

methodsBoth Ki67 and cyclinD1 protein levels were measured absolutely and quantitatively using Quantitative Dot Blot method in 143 Luminal-like specimens. Optimized cutoffs for these two biomarkers were developed to evaluate their prognostic roles using Kaplan-Meier overall survival (OS) analysis.

resultscyclinD1 was found as an independent prognostic factor from Ki67 in univariate and multivariate OS analyses. At optimized cutoffs (cyclinD1 at 0.44 μmol/g and Ki67 at 2.31 nmol/g), the subgroup with both biomarkers below the cutoffs (

conclusionThe current study supports the prospective investigation of cyclinD1 relevance in the clinic.

Indexed as

breast cancercyclin D1FFPEKi67Luminal-likeQDB

Identifiers

PMID34858818
PMCPMC8630735

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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.