Evidence map›Paper›PMID 27312135›Full record

ReviewCell proliferation2016

Cell-specific biomarkers and targeted biopharmaceuticals for breast cancer treatment.

Mei Liu, Zhiyang Li, Jingjing Yang, Yanyun Jiang, Zhongsi Chen, Zeeshan Ali, Nongyue He, Zhifei Wang

Abstract readReview
In one paragraph

Review in Cell proliferation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 36 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

8 authors at 2 institutions in 1 country.

Mei LiuSchool of Biological Science and Medical Engineering, Southeast University, Nanjing, China.
Zhiyang LiSchool of Biological Science and Medical Engineering, Southeast University, Nanjing, China.
Jingjing YangSchool of Chemistry and Chemical Engineering, Southeast University, Nanjing, China.
Yanyun JiangSchool of Chemistry and Chemical Engineering, Southeast University, Nanjing, China.
Zhongsi ChenSchool of Biological Science and Medical Engineering, Southeast University, Nanjing, China.
Zeeshan AliSchool of Chemistry and Chemical Engineering, Southeast University, Nanjing, China.
Nongyue HeSchool of Biological Science and Medical Engineering, Southeast University, Nanjing, China.
Zhifei WangSchool of Chemistry and Chemical Engineering, Southeast University, Nanjing, China.
Southeast University · CNNanjing Drum Tower Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is the second leading cause of cancer death among women, and its related treatment has been attracting significant attention over the past decades. Among the various treatments, targeted therapy has shown great promise as a precision treatment, by binding to cancer cell-specific biomarkers. So far, great achievements have been made in targeted therapy of breast cancer. In this review, we first discuss cell-specific biomarkers, which are not only useful for classification of breast cancer subtyping but also can be utilized as goals for targeted therapy. Then, the innovative and generic-targeted biopharmaceuticals for breast cancer, including monoclonal antibodies, non-antibody proteins and small molecule drugs, are reviewed. Finally, we provide our outlook on future developments of biopharmaceuticals, and provide solutions to problems in this field.

Indexed as

AnimalsAntibodies, MonoclonalAntineoplastic AgentsBiomarkers, TumorBreastBreast NeoplasmsFemaleHumansMolecular Targeted TherapyAntibodies, MonoclonalAntineoplastic AgentsBiomarkers, Tumor

Identifiers

PMID27312135
PMCPMC6496337
OpenAlexW2422305362

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.