Evidence map›Paper›PMID 40891208›Full record

ArticleCancer research2025

Another Slice of the Pie Uncovered: RIT1M90I Is an Actionable Driver in Non-Small Cell Lung Cancer.

Cheng Pei Wu, Aria Vaishnavi

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In one paragraph

Article in Cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Cheng Pei WuDepartment of Genetics, University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0009-0004-8522-9054
Aria VaishnaviDepartment of Genetics, University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0002-7814-3234

Funding

Elucidating the role of support signaling in promoting minimal residual disease in mouse models of oncogene-driven lung cancerR00CA246084 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI VAISHNAVI, ARIA · 2023 to 2025
$741k
NCI NIH HHS R00 CA246084
6 · The paper itself

Abstract

Lung adenocarcinoma has become a paradigm for precision oncology and success with targeted therapies. However, large chunks of the pie chart of molecular drivers remain unknown, preventing many patients from similarly benefiting from this strategy. Here, we highlight the side-by-side release of two impactful studies from Mozzarelli and colleagues and DiMarco and colleagues in this issue of Cancer Research. Here, each team generated unique mouse models characterizing a novel and potentially actionable driver and facilitator of acquired drug resistance in lung adenocarcinoma, RIT1M90I. Both study teams describe and characterize their new mouse models, reporting the tumor latency and importantly revealing the sensitivity of RIT1-mutant lung tumors to SHP2 or RAS tricomplex inhibitors. Collectively, these findings highlight the importance of RIT1M90I as an actionable driver of lung adenocarcinoma and a potent mediator of acquired drug resistance. These new RIT1-driven lung cancer models represent valuable tools for the preclinical testing and translation of different therapeutic strategies for this patient population. See related article by Mozzarelli et al., p. 3196 See related article by DiMarco et al., p. 3207.

Indexed as

Adenocarcinoma of LungCarcinoma, Non-Small-Cell LungLung Neoplasmsras ProteinsAnimalsDisease Models, AnimalDrug Resistance, NeoplasmHumansMiceMutationras ProteinsRIT1 protein, human

Identifiers

What OpenQuestion holds

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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.