Evidence map›Paper›PMID 33854056›Full record

ReviewCell death discovery2021

Targeting K-Ras and apoptosis-driven cellular transformation in cancer.

Isha Godwin, Nikhil Ponnoor Anto, Smitha V Bava, Mani Shankar Babu, Goodwin G Jinesh

Open access · goldAbstract readReview
In one paragraph

Review in Cell death discovery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

13 citing papers in PubMed, 17 citations in OpenAlex.

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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

5 authors at 5 institutions in 3 countries.

Isha Godwin *Saveetha Medical College, Thandalam, Chennai, Tamil Nadu, 602105, India. ishagodwin@gmail.com.
Nikhil Ponnoor Anto *Shraga Segal Department of Microbiology, Immunology and Genetics, Ben-Gurion University of the Negev, Beersheba, Israel.ORCID http://orcid.org/0000-0001-9449-5654
Smitha V Bava *Department of Biotechnology, University of Calicut, Malappuram, Kerala, 673635, India.
Mani Shankar Babu *Department of Botany, University College, Thiruvananthapuram, Kerala, 695 034, India.
Goodwin G Jinesh *Departments of Molecular Oncology, and Sarcoma, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, 33612, USA. goodwinjinesh@gmail.com.ORCID http://orcid.org/0000-0002-2170-3245
Ben-Gurion University of the Negev · ILMoffitt Cancer Center · USSaveetha University · INUniversity of Calicut · INUniversity of Kerala · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cellular transformation is a major event that helps cells to evade apoptosis, genomic instability checkpoints, and immune surveillance to initiate tumorigenesis and to promote progression by cancer stem cell expansion. However, the key molecular players that govern cellular transformation and ways to target cellular transformation for therapy are poorly understood to date. Here we draw key evidences from the literature on K-Ras-driven cellular transformation in the context of apoptosis to shed light on the key players that are required for cellular transformation and explain how aiming p53 could be useful to target cellular transformation. The defects in key apoptosis regulators such as p53, Bax, and Bak lead to apoptosis evasion, cellular transformation, and genomic instability to further lead to stemness, tumorigenesis, and metastasis via c-Myc-dependent transcription. Therefore enabling key apoptotic checkpoints in combination with K-Ras inhibitors will be a promising therapeutic target in cancer therapy.

Identifiers

PMID33854056
PMCPMC8047025
OpenAlexW3155791645

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.