Evidence map›Paper›PMID 25956431›Full record

ArticleBMC cancer2015

Prognostic value of tumor suppressors in osteosarcoma before and after neoadjuvant chemotherapy.

Bernhard Robl, Chantal Pauli, Sander Martijn Botter, Beata Bode-Lesniewska, Bruno Fuchs

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In one paragraph

Article in BMC cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

5 authors.

Bernhard RoblLaboratory for Orthopedic Research, Department of Orthopedics, Balgrist University Hospital, Forchstrasse 340, 8008, Zurich, Switzerland. brobl@research.balgrist.ch.
Chantal PauliInstitute of Surgical Pathology, University Hospital Zurich, Zurich, Switzerland. Chantal.Pauli@usz.ch.
Sander Martijn BotterLaboratory for Orthopedic Research, Department of Orthopedics, Balgrist University Hospital, Forchstrasse 340, 8008, Zurich, Switzerland. sbotter@research.balgrist.ch.
Beata Bode-LesniewskaInstitute of Surgical Pathology, University Hospital Zurich, Zurich, Switzerland. Beata.Bode@usz.ch.
Bruno FuchsLaboratory for Orthopedic Research, Department of Orthopedics, Balgrist University Hospital, Forchstrasse 340, 8008, Zurich, Switzerland. research@balgrist.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrimary bone cancers are among the deadliest cancer types in adolescents, with osteosarcomas being the most prevalent form. Osteosarcomas are commonly treated with multi-drug neoadjuvant chemotherapy and therapy success as well as patient survival is affected by the presence of tumor suppressors. In order to assess the prognostic value of tumor-suppressive biomarkers, primary osteosarcoma tissues were analyzed prior to and after neoadjuvant chemotherapy.

methodsWe constructed a tissue microarray from high grade osteosarcoma samples, consisting of 48 chemotherapy naïve biopsies (BXs) and 47 tumor resections (RXs) after neoadjuvant chemotherapy. We performed immunohistochemical stainings of P53, P16, maspin, PTEN, BMI1 and Ki67, characterized the subcellular localization and related staining outcome with chemotherapy response and overall survival. Binary logistic regression analysis was used to analyze chemotherapy response and Kaplan-Meier-analysis as well as the Cox proportional hazards model was applied for analysis of patient survival.

resultsNo significant associations between biomarker expression in BXs and patient survival or chemotherapy response were detected. In univariate analysis, positive immunohistochemistry of P53 (P = 0.008) and P16 (P16; P = 0.033) in RXs was significantly associated with poor survival prognosis. In addition, presence of P16 in RXs was associated with poor survival in multivariate regression analysis (P = 0.003; HR = 0.067) while absence of P16 was associated with good chemotherapy response (P = 0.004; OR = 74.076). Presence of PTEN on tumor RXs was significantly associated with an improved survival prognosis (P = 0.022).

conclusionsPositive immunohistochemistry (IHC) of P16 and P53 in RXs was indicative for poor overall patient survival whereas positive IHC of PTEN was prognostic for good overall patient survival. In addition, we found that P16 might be a marker of osteosarcoma chemotherapy resistance. Therefore, our study supports the use of tumor RXs to assess the prognostic value of biomarkers.

Indexed as

AdolescentAdultAntineoplastic AgentsBiomarkers, TumorBone NeoplasmsChemotherapy, AdjuvantChildFemaleHumansKaplan-Meier EstimateLung NeoplasmsMaleMultivariate AnalysisNeoadjuvant TherapyOsteosarcomaPrognosisAntineoplastic AgentsBiomarkers, TumorTumor Suppressor Proteins

Identifiers

PMID25956431
PMCPMC4435808

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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.