Evidence map›Paper›PMID 28222768›Full record

Observational studyDiagnostic pathology2017

Ki-67 as a controversial predictive and prognostic marker in breast cancer patients treated with neoadjuvant chemotherapy.

Balázs Ács, Veronika Zámbó, Laura Vízkeleti, A Marcell Szász, Lilla Madaras, Gyöngyvér Szentmártoni, Tímea Tőkés, Béla Á Molnár, István Artúr Molnár, Stefan Vári-Kakas and 2 more

Abstract readObservational Study
In one paragraph

Observational study in Diagnostic pathology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 1 pooled it
–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

55 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  4. Correlation between Skip N2 Metastases and SUVBioMed research international · 2020
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  20. Breast Cancer Histopathology in the Age of Molecular Oncology.Cold Spring Harbor perspectives in medicine · 2024
    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

12 authors.

Balázs Ács2nd Department of Pathology, Semmelweis University, 1091, Budapest, Üllői út 93, Hungary.
Veronika Zámbó2nd Department of Pathology, Semmelweis University, 1091, Budapest, Üllői út 93, Hungary.
Laura Vízkeleti2nd Department of Pathology, Semmelweis University, 1091, Budapest, Üllői út 93, Hungary.
A Marcell Szász2nd Department of Pathology, Semmelweis University, 1091, Budapest, Üllői út 93, Hungary.
Lilla Madaras2nd Department of Pathology, Semmelweis University, 1091, Budapest, Üllői út 93, Hungary.
Gyöngyvér SzentmártoniDepartment of Clinical Oncology, Semmelweis University, 1083, Budapest, Tömő uta 25-29, Hungary.
Tímea TőkésDepartment of Clinical Oncology, Semmelweis University, 1083, Budapest, Tömő uta 25-29, Hungary.
Béla Á Molnár1st Department of Surgery, Semmelweis University, 1082, Budapest Üllői út 78, Hungary.
István Artúr Molnár1st Department of Surgery, Semmelweis University, 1082, Budapest Üllői út 78, Hungary.
Stefan Vári-KakasUniversity of Oradea, Romania, Faculty of Electrical Engineering and Information Technology, Str. Universitatii nr. 1, Oradea, Romania.
Janina Kulka2nd Department of Pathology, Semmelweis University, 1091, Budapest, Üllői út 93, Hungary.
Anna-Mária Tőkés2nd Department of Pathology, Semmelweis University, 1091, Budapest, Üllői út 93, Hungary. tokesa1972@yahoo.co.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies have partly demonstrated the clinical validity of Ki-67 as a predictive marker in the neoadjuvant setting, but the question of the best cut-off points as well as the importance of this marker as a prognostic factor in partial responder/non-responder groups remains uncertain.

methodsOne hundred twenty patients diagnosed with invasive breast cancer and treated with neoadjuvant chemotherapy (NAC) between 2002 and 2013 were retrospectively recruited to this study. The optimal cut-off value for Ki-67 labeling index (LI) to discriminate response to treatment was assessed by receiver operating characteristic (ROC) curve analysis. Kaplan-Meier curve estimation, log-rank test and cox regression analysis were carried out to reveal the association between Ki-67 categories and survival (DMFS = Distant metastases-free survival, OS = Overall survival).

resultsTwenty three out of 120 patients (19.2%) achieved pathologic complete remission (pCR), whereas partial remission (pPR) and no response (pNR) to neoadjuvant chemotherapy (NAC) was detected in 60.8% and 20.0%, respectively. The distribution of subtypes showed a significant difference in pathological response groups (p < 0.001). Most of the TNBC cases were represented in pCR group. The most relevant cut-off value for the Ki-67 distinguishing pCR from pNR cases was 20% (p = 0.002). No significant threshold for Ki-67 was found regarding DMFS (p = 0.208). Considering OS, the optimal cut-off point occurred at 15% Ki-67 (p = 0.006). The pPR group represented a significant Ki-67 threshold at 30% regarding OS (p = 0.001). Ki-67 and pPR subgroups were not significantly associated (p = 0.653). For prognosis prediction, Ki-67 at 30% cut-off value (p = 0.040) furthermore subtype (p = 0.037) as well as pathological response (p = 0.044) were suitable to separate patients into good and unfavorable prognosis cohorts regarding OS. However, in multivariate analyses, only Ki-67 at 30% threshold (p = 0.029), and subtype (p = 0.008) were independently linked to OS.

conclusionsNAC is more efficient in tumors with at least 20% Ki-67 LI. Both Ki-67 LI and subtype showed a significant association with pathological response. Ki-67 LI represented independent prognostic potential to OS in our neoadjuvant patient cohort, while pathological response did not. Additionally, our data also suggest that if a tumor is non-responder to NAC, increased Ki-67 is a poor prognostic marker.

Indexed as

Neoadjuvant TherapyAdultAgedAntineoplastic Combined Chemotherapy ProtocolsArea Under CurveBiomarkers, TumorBreast NeoplasmsChemotherapy, AdjuvantCohort StudiesCross-Sectional StudiesDisease-Free SurvivalFemaleHumansImmunohistochemistryKaplan-Meier EstimateKi-67 AntigenBiomarkers, TumorKi-67 AntigenBreastKi-67Neoadjuvant chemotherapyPredictive and prognostic markers

Identifiers

PMID28222768
PMCPMC5320658

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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.