Evidence map›Paper›PMID 17827523›Full record

ArticleInternational journal of gastrointestinal cancer2006

Mitochondrial DNA mutations in pancreatic cancer.

Keyanoosh Kassauei, Nils Habbe, Michael E Mullendore, Collins A Karikari, Anirban Maitra, Georg Feldmann

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in International journal of gastrointestinal cancer, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

18 citing papers in PubMed, 39 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. The Significance of Mitochondrial Dysfunction in Cancer.International journal of molecular sciences · 2020
    Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Opportunities and challenges for selected emerging technologies in cancer epidemiology: mitochondrial, epigenomic, metabolomic, and telomerase profiling.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2013
    Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
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

6 authors at 2 institutions in 1 country.

Keyanoosh KassaueiDepartment of Pathology, Johns Hopkins University School of Medicine, 1550 Orleans Street, Baltimore, MD 21231, USA.
Nils Habbe
Michael E Mullendore
Collins A Karikari
Anirban Maitra
Georg Feldmann
Johns Hopkins Medicine · USJohns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSomatic mutations of mitochondrial DNA (mtDNA) are increasingly being recognized in many human cancers, but automated sequencing of 16.5 kb of DNA poses an onerous task. We have recently described an oligonucleotide microarray (MitoChip) for rapid and accurate sequencing of the entire mitochondrial genome (Zhou et al., J Mol Diagnostics, 8: 9_14, 2006), greatly facilitating the analysis of mtDNA mutations in cancer. In this report, we perform a comprehensive cataloging of somatic mutations in the mitochondrial genome of human pancreatic cancers using our novel array-based approach. MATERIALS AND

methodsMitoChip analysis was performed on DNA isolated from 15 histologically confirmed resection specimens of pancreatic ductal adenocarcinomas. In all cases, matched nonneoplastic pancreatic tissue was obtained as germline control for mtDNA sequence. DNA was extracted from snap-frozen cryostat-embedded specimens and hybridized to the sequencing microarray after appropriate polymerase chain reaction amplification and labeling steps. The vast majority of somatic mutational analyses of mtDNA in human cancers utilize lymphocyte DNA as germline control, without excluding the potential for organ-specific polymorphisms. Therefore, we also examined a series of 15 paired samples of DNA obtained from nonneoplastic pancreata and corresponding EBV-immortalized lymphoblastoid cell lines to determine whether lymphocyte DNA provides an accurate surrogate for the mtDNA sequence of pancreatic tissue.

resultsWe sequenced 497,070 base pairs of mtDNA in the 15 matched samples of pancreatic cancer and nonneoplastic pancreatic tissue, and 467,269 base pairs (94.0%) were assigned by the automated genotyping software. All 15 pancreatic cancers demonstrated at least one somatic mtDNA mutation compared to the control germline DNA with a range of 1-14 alterations. Of the 71 somatic mutations observed in our series, 18 were nonsynonymous coding region alterations (i.e., resulting in an amino acid change), 22 were synonymous coding region alterations, and 31 involved noncoding mtDNA segments (including ribosomal and transfer RNAs). Overall, somatic mutations in the coding region most commonly involved the ND4, COI, and CYTB genes; of note, an A-G transition at nucleotide position 841 in the 12sRNA was observed in three independent samples. In the paired analysis of nonneoplastic pancreata and lymphoblastoid cell line DNA, 14 nucleotide discrepancies were observed out of 226,876 nucleotide sequences (a concordance rate of 99.99%), with 9 samples demonstrating a perfect match across all bases assigned.

conclusionsOur findings confirm that somatic mtDNA mutations are common in pancreatic cancers, and therefore, have the potential to be a clinically useful biomarker for early detection. Further, our studies confirm that lymphocyte DNA is an excellent, albeit not perfect, surrogate for nonneoplastic pancreatic tissues in terms of being utilized as a germline control. Finally, our report confirms the utility of a high-throughput array-based platform for mtDNA mutational analyses of human cancers.

Indexed as

Genome, MitochondrialDNA, MitochondrialDNA Mutational AnalysisDNA, NeoplasmGenotypeHumansMutationOligonucleotide Array Sequence AnalysisPancreasPancreatic NeoplasmsPolymerase Chain ReactionRetrospective StudiesDNA, MitochondrialDNA, Neoplasm

Identifiers

PMID17827523
OpenAlexW1969587922

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.