Evidence map›Paper›PMID 33562461›Full record

ArticleJournal of clinical medicine2021

Evolved Resistance to Placental Invasion Secondarily Confers Increased Survival in Melanoma Patients.

Yasir Suhail, Junaid Afzal, Kshitiz

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Stromal resistance to placental invasion is a derived trait in ruminants.The Journal of reproduction and development · 2026
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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

3 authors.

Yasir SuhailDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA.ORCID 0000-0002-1296-9738
Junaid AfzalDepartment of Cardiology, University of California, San Francisco, CA 94143, USA.
KshitizDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA.ORCID 0000-0003-4241-9427

Funding

Systems analysis of phenotypic switch in control of cancer invasionU54CA209992 · NCI · YALE UNIVERSITY · PI LEVCHENKO, ANDRE · 2016 to 2021
$10.1M
Investigating the Role of Emergent Oscillations of Hypoxia Inducible Factor-1 alpha Activity in Cancer Growth and ProgressionR37CA248161 · NCI · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI KSHITIZ, . · 2020 to 2025
$2.5M
National Cancer Institute, NIH, USA 1U54CA209992-02NCI NIH HHS R37 CA248161NCI NIH HHS U54 CA209992University of Connecticut Startup Fund
6 · The paper itself

Abstract

Mammals exhibit large differences in rates of cancer malignancy, even though the tumor formation rates may be similar. In placental mammals, rates of malignancy correlate with the extent of placental invasion. Our Evolved Levels of Invasibility (ELI) framework links these two phenomena identifying genes that potentially confer resistance in stromal fibroblasts to limit invasion, from trophoblasts in the endometrium, and from disseminating melanoma in the skin. Herein, using patient data from The Cancer Genome Atlas (TCGA), we report that these anti-invasive genes may be crucial in melanoma progression in human patients, and that their loss is correlated with increased cancer spread and lowered survival. Our results suggest that, surprisingly, these anti-invasive genes, which have lower expression in humans compared to species with non-invasive placentation, may potentially prevent stromal invasion, while a further reduction in their levels increases the malignancy and lethality of melanoma. Our work links evolution, comparative biology, and cancer progression across tissues, indicating new avenues for using evolutionary medicine to prognosticate and treat human cancers.

Indexed as

cancer associated fibroblastscancer disseminationcancer microenvironmentinvasibilitymelanoma metastasisplacentationstromal invasion

Identifiers

PMID33562461
PMCPMC7915120

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Registered trials

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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.