Evidence map›Paper›PMID 28610410›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2017

Prognostic Value of Clinicopathological Factors for Indonesian Breast Carcinomas of Different Molecular Subtypes

Irianiwati Widodo, Ery Kus Dwianingsih, Sumadi Lukman Anwar, Triningsih Fx Ediati, Totok Utoro, Teguh Aryandono, Soeripto

Abstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2017. 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
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

14 citing papers in PubMed, 29 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

7 authors at 1 institution in 1 country.

Irianiwati WidodoDepartment of Anatomical Pathology, Faculty of Medicine, Universitas Gadjah Mada, Yogyakarta, Indonesia. Email: ery_malueka@ugm.ac.id
Ery Kus Dwianingsih
Sumadi Lukman Anwar
Triningsih Fx Ediati
Totok Utoro
Teguh Aryandono
Soeripto
Universitas Gadjah Mada · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Breast carcinoma (BC) is a heterogeneous disease due to its different molecular profiles i.e. luminal (luminal A and luminal B) and non-luminal (HER2 positive and triple negative) subtypes. Prognostic value of clinicopathological factors of Indonesian BC of different molecular subtypes has never been reported previously. This study aims to elaborate prognostic impacts on Indonesian BCs focusing on separate molecular subtypes. Methods: A hundred and fifty cases of invasive BC, stage I-IIIA, in Sardjito Hospital, Indonesia, were stained using anti ER, PR, HER2 and Ki-67 antibodies. Survival and prognostic values were statistically analyzed. Results: Compared to the luminal subtypes, the non-luminal subtypes demonstrated higher proportions of intermediate-to-high grade, stage IIIA, positive lymph node infiltration and mortality. The triple negative subtype was typically intermediate-to-high grade, stage IIIA and with a high relative death risk. Luminal A lesions were characteristically low grade, stage I-II and less likely to cause death. Conclusion: In non-luminal BC, staging and lymph node metastasis are independent prognostic factors for survival in HER2 positive and triple negative subtypes, respectively. In luminal BC, clinicopathological factors demonstrated no influence on survival. This study suggests that staging and lymph node metastasis are correlated with survival in non-luminal Indonesian BCs.

Indexed as

clinicopathological factorsIndonesian breast carcinomamolecular subtypesprognostic valuesurvival

Identifiers

PMID28610410
PMCPMC5555531
OpenAlexW2728726210

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.