Evidence map›Paper›PMID 26087399›Full record

ArticleOncotarget2015

Stathmin and phospho-stathmin protein signature is associated with survival outcomes of breast cancer patients.

Xia-Ying Kuang, Li Chen, Zhi-Jie Zhang, Yi-Rong Liu, Yi-Zi Zheng, Hong Ling, Feng Qiao, Shan Li, Xin Hu, Zhi-Ming Shao

Abstract read
In one paragraph

Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Long Noncoding RNAs in Taxane Resistance of Breast Cancer.International journal of molecular sciences · 2023
    Review
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  9. The Proteomic Landscape of Pancreatic Ductal Adenocarcinoma Liver Metastases Identifies Molecular Subtypes and Associations with Clinical Response.Clinical cancer research : an official journal of the American Association for Cancer Research · 2020
    Article
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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

10 authors.

Xia-Ying KuangKey Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Li ChenKey Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Zhi-Jie ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai, China.
Yi-Rong LiuKey Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Yi-Zi ZhengKey Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Hong LingDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Feng QiaoDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Shan LiDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Xin HuDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Zhi-Ming ShaoKey Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, Stathmin1 (STMN1) and phospho-STMN1 levels in breast cancers and their clinical implications are unknown. We examined the expression of STMN1 and its serine phospho-site (Ser16, Ser25, Ser38, and Ser63) status by immunohistochemistry. Using Cox regression analysis, a STMN1 expression signature and phosphorylation profile plus clinicopathological characteristics (STMN1-E/P/C) was developed in the training set (n = 204) and applied to the validation set (n = 106). This tool enabled us to separate breast cancer patients into high- and low-risk groups with significantly different disease-free survival (DFS) rates (P < 0.001). Importantly, this STMN1-E/P/C model had a greater prognostic value than the traditional TNM classifier, especially in luminal subtype breast cancer (P = 0.002). Further analysis showed that patients in the low-risk group would benefit more from adjuvant paclitaxel-based chemotherapy (P = 0.002). In conclusion, the STMN1-E/P/C signature is a reliable prognostic indicator for luminal subtype breast cancer and may predict the therapeutic response to paclitaxel-based treatments, potentially facilitating individualized management.

Indexed as

AdultAgedAged, 80 and overAntineoplastic Combined Chemotherapy ProtocolsBreast NeoplasmsChemotherapy, AdjuvantCohort StudiesDisease-Free SurvivalFemaleHumansImmunohistochemistryMiddle AgedPaclitaxelPhosphorylationPredictive Value of TestsProportional Hazards ModelsPaclitaxelStathminSTMN1 protein, humanbreast cancerpaclitaxelphosphorylationprognostic modelstathmin

Identifiers

PMID26087399
PMCPMC4673159

What OpenQuestion holds

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LicenceCC BY
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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.