Evidence map›Paper›PMID 29151852›Full record

ReviewEvolutionary applications2017

Ancient oncogenesis, infection and human evolution.

Riaan F Rifkin, Marnie Potgieter, Jean-Baptiste Ramond, Don A Cowan

Abstract readReview
In one paragraph

Review in Evolutionary applications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Onco-Breastomics: An Eco-Evo-Devo Holistic Approach.International journal of molecular sciences · 2024
    Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. THE EXPOSOME IN HUMAN EVOLUTION: FROM DUST TO DIESEL.The Quarterly review of biology · 2019
    Article
  8. Review
  9. Review
  10. 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

4 authors.

Riaan F RifkinCenter for Microbial Ecology and Genomics (CMEG) Department of Genetics University of Pretoria Hatfield South Africa.ORCID 0000-0003-1791-3706
Marnie PotgieterCenter for Microbial Ecology and Genomics (CMEG) Department of Genetics University of Pretoria Hatfield South Africa.
Jean-Baptiste RamondCenter for Microbial Ecology and Genomics (CMEG) Department of Genetics University of Pretoria Hatfield South Africa.
Don A CowanCenter for Microbial Ecology and Genomics (CMEG) Department of Genetics University of Pretoria Hatfield South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent discovery that malignant neoplastic lesions date back nearly 2 million years ago not only highlights the antiquity of cancer in the human lineage, but also provides remarkable insight into ancestral hominin disease pathology. Using these Early Pleistocene examples as a point of departure, we emphasize the prominent role of viral and bacterial pathogens in oncogenesis and evaluate the impact of pathogens on human evolutionary processes in Africa. In the Shakespearean vernacular "what's past is prologue," we highlight the significance of novel information derived from ancient pathogenic DNA. In particular, and given the temporal depth of human occupation in sub-Saharan Africa, it is emphasized that the region is ideally positioned to play a strategic role in the discovery of ancient pathogenic drivers of not only human mortality, but also human evolution. Ancient African pathogen genome data can provide novel revelations concerning human-pathogen coevolutionary processes, and such knowledge is essential for forecasting the ways in which emerging zoonotic and increasingly transmissible diseases might influence human demography and longevity in the future.

Indexed as

ancient DNAAustralopithecusHomooncogenesispathogensPleistocenesub‐Saharan Africa

Identifiers

PMID29151852
PMCPMC5680625

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.