Evidence map›Paper›PMID 19480018›Full record

ArticleCroatian medical journal2009

Malignant tumors and forensics--dilemmas and proposals.

Zoran Budimlija, Connie Lu, Grace Axler-DiPerte, Jessica Seifarth, Dorota Popiolek, Franz Fogt, Mechthild Prinz

Abstract read
In one paragraph

Article in Croatian medical journal, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Zoran BudimlijaDepartment of Forensic Biology, New York City Office of Chief Medical Examiner, 421 East 26th Street, New York, NY 10016, USA. zbudimlija@ocme.nyc.gov
Connie Lu
Grace Axler-DiPerte
Jessica Seifarth
Dorota Popiolek
Franz Fogt
Mechthild Prinz

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo evaluate the effect of genetic instability and degradation in archived histology samples from cancerous tumors and to investigate the validity of short tandem repeat (STR) typing of these samples and its potential effect on human identification.

methodsTwo hundred and twenty eight slides of archival pathology tissues from 13 different types of malignant tumors were compared with healthy tissues from the same individuals. DNA analysis was performed using standard techniques for forensic STR analysis, PowerPlex16 and Identifiler on 2 distinct sample sets. Genetic instability was assessed by comparing reference tissues with cancerous tissues derived from the same individual. Loss of heterozygosity, a > or =50% reduction in heterozygosity ratio between healthy and diseased samples, and microsatellite instability, the presence of an additional allele not present in reference tissue, were assessed. The quality of profiles obtained with respect to completeness among the archived samples and degradation using the 2 platforms were also compared.

resultsProfiles obtained using the Identifiler system were generally more complete, but showed 3-fold higher levels of instability (86%) than those obtained using PowerPlex 16 (27%). Instances of genetic instability were distributed throughout all loci in both multiplex STR systems.

conclusionAfter having compared 2 widely used forensic chemistries, we suggest individual validation of each kit for use with samples likely to exhibit instability combined with fixation induced degradation or artifact. A "one size fits all" approach for interpretation of these samples among commercially available multiplexes is not recommended.

Indexed as

Forensic PathologyGenomic InstabilityHumansLoss of HeterozygosityMicrosatellite RepeatsNeoplasms

Identifiers

PMID19480018
PMCPMC2702737

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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.