Evidence map›Paper›PMID 30011887›Full record

ReviewInternational journal of molecular sciences2018

Potential for Mitochondrial DNA Sequencing in the Differential Diagnosis of Gynaecological Malignancies.

Anna Myriam Perrone, Giulia Girolimetti, Martina Procaccini, Lorena Marchio, Alessandra Livi, Giulia Borghese, Anna Maria Porcelli, Pierandrea De Iaco, Giuseppe Gasparre

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 28% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Meta-analysis of the diagnostic value ofFrontiers in oncology · 2022
    Pooled it
  2. Article
  3. Mitochondrial DNA variation and cancer.Nature reviews. Cancer · 2021
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. 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

9 authors at 2 institutions in 1 country.

Anna Myriam PerroneUnit of Oncologic Gynecology, Sant Orsola-Malpighi Hospital, via Massarenti 13, 40138 Bologna, Italy. myriam.perrone@aosp.bo.it.
Giulia GirolimettiUnit of Medical Genetics, Department of Medical and Surgical Sciences (DIMEC), Sant Orsola Hospital, Pav.11, via Massarenti 9, 40138 Bologna, Italy. giulsgiuls85@gmail.com.ORCID 0000-0001-8917-3634
Martina ProcacciniUnit of Oncologic Gynecology, Sant Orsola-Malpighi Hospital, via Massarenti 13, 40138 Bologna, Italy. martina.procaccini@gmail.com.
Lorena MarchioUnit of Medical Genetics, Department of Medical and Surgical Sciences (DIMEC), Sant Orsola Hospital, Pav.11, via Massarenti 9, 40138 Bologna, Italy. lorenamarchio@gmail.com.
Alessandra LiviUnit of Oncologic Gynecology, Sant Orsola-Malpighi Hospital, via Massarenti 13, 40138 Bologna, Italy. alessandra.livi2@studio.unibo.it.
Giulia BorgheseUnit of Oncologic Gynecology, Sant Orsola-Malpighi Hospital, via Massarenti 13, 40138 Bologna, Italy. giuliamaria.borghese@gmail.com.
Anna Maria PorcelliDepartment of Pharmacy and Biotechnology (FABIT), University of Bologna, 40138 Bologna, Italy. annamaria.porcelli@unibo.it.
Pierandrea De IacoUnit of Oncologic Gynecology, Sant Orsola-Malpighi Hospital, via Massarenti 13, 40138 Bologna, Italy. pierandrea.deiaco@unibo.it.
Giuseppe GasparreUnit of Medical Genetics, Department of Medical and Surgical Sciences (DIMEC), Sant Orsola Hospital, Pav.11, via Massarenti 9, 40138 Bologna, Italy. giuseppe.gasparre3@unibo.it.
IRCCS Azienda Ospedliero-Universitaria di Bologna Policlinico di Sant'Orsola · ITUniversity of Bologna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the event of multiple synchronous gynecological lesions, a fundamental piece of information to determine patient management, prognosis, and therapeutic regimen choice is whether the simultaneous malignancies arise independently or as a result of metastatic dissemination. An example of synchronous primary tumors of the female genital tract most frequently described are ovarian and endometrial cancers. Surgical findings and histopathological examination aimed at resolving this conundrum may be aided by molecular analyses, although they are too often inconclusive. High mitochondrial DNA (mtDNA) variability and its propensity to accumulate mutations has been proposed by our group as a tool to define clonality. We showed mtDNA sequencing to be informative in synchronous primary ovarian and endometrial cancer, detecting tumor-specific mutations in both lesions, ruling out independence of the two neoplasms, and indicating clonality. Furthermore, we tested this method in another frequent simultaneously detected gynecological lesion type, borderline ovarian cancer and their peritoneal implants, which may be monoclonal extra-ovarian metastases or polyclonal independent masses. The purpose of this review is to provide an update on the potential use of mtDNA sequencing in distinguishing independent and metastatic lesions in gynecological cancers, and to compare the efficiency of molecular analyses currently in use with this novel method.

Indexed as

Diagnosis, DifferentialDNA, MitochondrialEndometrial NeoplasmsFemaleGenital Neoplasms, FemaleHumansMutationOvarian NeoplasmsSensitivity and SpecificitySequence Analysis, DNADNA, Mitochondrialborderline ovarian tumorsDNA genotypinggynecological cancermitochondrial DNAsynchronous tumors

Identifiers

PMID30011887
PMCPMC6073261
OpenAlexW2884803822

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.