Evidence map›Paper›PMID 24424115›Full record

ArticleCancer biology & therapy2014

Ki-67 index as a prognostic factor of subsequent lapatinib-based therapy in HER2-positive metastatic breast cancer with resistance to trastuzumab.

Li Bian, Tao Wang, Shao-Hua Zhang, Hui-Qiang Zhang, Yun-Fei Guo, Ge Du, Wang Li, Shi-Kai Wu, San-Tai Song, Ze-Fei Jiang

Open access · bronzeAbstract read
In one paragraph

Article in Cancer biology & therapy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 46% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

10 authors at 2 institutions in 1 country.

Li BianDepartment of Breast Cancer; Affiliated Hospital of Academy of Military Medical Sciences; Beijing, PR China.
Tao WangDepartment of Breast Cancer; Affiliated Hospital of Academy of Military Medical Sciences; Beijing, PR China.
Shao-Hua ZhangDepartment of Breast Cancer; Affiliated Hospital of Academy of Military Medical Sciences; Beijing, PR China.
Hui-Qiang ZhangDepartment of Breast Cancer; Affiliated Hospital of Academy of Military Medical Sciences; Beijing, PR China.
Yun-Fei GuoDepartment of Breast Cancer; Affiliated Hospital of Academy of Military Medical Sciences; Beijing, PR China.
Ge DuDepartment of Breast Cancer; Affiliated Hospital of Academy of Military Medical Sciences; Beijing, PR China.
Wang LiDepartment of Breast Cancer; Affiliated Hospital of Academy of Military Medical Sciences; Beijing, PR China.
Shi-Kai WuDepartment of Breast Cancer; Affiliated Hospital of Academy of Military Medical Sciences; Beijing, PR China.
San-Tai SongDepartment of Breast Cancer; Affiliated Hospital of Academy of Military Medical Sciences; Beijing, PR China.
Ze-Fei JiangDepartment of Breast Cancer; Affiliated Hospital of Academy of Military Medical Sciences; Beijing, PR China.
Academy of Military Medical Sciences · CNBeijing Administration Institute · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prognostic factor analysis has been conducted to determine whether the parameters of clinical data and biomarkers would predict differential progression-free survival (PFS) or overall survival (OS) from lapatinib-based therapy in patients with primary or acquired resistance to trastuzumab. Treatment with lapatinib plus capecitabine for HER2-positive metastatic breast cancer (MBC) with primary or acquired resistance to trastuzumab was analyzed retrospectively. Tumor biomarkers, which came from the biopsies before the starting of lapatinib therapy, were evaluated by immunohistochemistry (IHC). Prognostic factors related to PFS or OS of the lapatinib therapy were assessed by univariate and multivariate analysis. Ki-67 index and liver metastases were the significant prognostic factors for predicting PFS of subsequent lapatinib therapy in the univariate analysis and the multivariate analysis. The risk for disease progression in patients who had a Ki-67 index<40% was 59% less than that in patients had Ki-67 ≥ 40 (HR = 0.41, 95% CI, 0.23-0.74, P = 0.003). TTP of prior trastuzumab therapy, liver metastases, and the number of metastatic sites were three independent prognostic factors of subsequent lapatinib therapy. Ki-67 index was the significant prognostic factors for predicting PFS of the subsequent second line targeted therapy in patients with trastuzumab resistance.

Indexed as

Drug Resistance, NeoplasmAdolescentAdultAgedAntibodies, Monoclonal, HumanizedAntineoplastic AgentsBiomarkers, TumorBreast NeoplasmsDisease-Free SurvivalErb-b2 Receptor Tyrosine KinasesFemaleHumansKi-67 AntigenLapatinibMiddle AgedNeoplasm MetastasisAntibodies, Monoclonal, HumanizedAntineoplastic AgentsBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesKi-67 AntigenLapatinibQuinazolinesTrastuzumabHER2 positiveKi-67lapatinibmetastatic breast cancerprognostic factorresistancetrastuzumab

Identifiers

PMID24424115
PMCPMC3979813
OpenAlexW2044033935

What OpenQuestion holds

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Registered trials

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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.