Evidence map›Paper›PMID 38502849›Full record

ArticleCancer research2024

Cancer Cells Hijack Physiologic Metabolic Signals to Seed Liver Metastasis.

Andres R Rettig, Karuna Ganesh

Abstract read
In one paragraph

Article in Cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Andres R RettigMolecular Pharmacology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-4004-3609
Karuna GaneshMolecular Pharmacology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-4948-1082

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
The Center for Tumor-Immune Systems Biology at MSKCCU54CA274492 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Christina S Leslie, Alexander Y Rudensky · 2022 to 2026
$16.3M
Transition to Metastatic State: Lung Cancer, Pancreatic Cancer and Brain MetastasisU2CCA233284 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI PE'ER, DANA · 2018 to 2022
$12.9M
Tumor-specific T cell state dynamics and heterogeneity in early tumorigenesisU54CA209975 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI LESLIE, CHRISTINA S, RUDENSKY, ALEXANDER Y · 2016 to 2021
$11.8M
Mechanisms of Dynamic Transcriptional Reprogramming in Metastasis Stem CellsR37CA266185 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Karuna Ganesh · 2022 to 2026
$2.6M
NCI NIH HHS P30 CA008748NCI NIH HHS R37 CA266185NCI NIH HHS U2C CA233284NCI NIH HHS U54 CA209975NCI NIH HHS U54 CA274492
6 · The paper itself

Abstract

Metastasis arises from cancer cell-intrinsic adaptations and permissive tumor microenvironments (TME) that are distinct across different organs. Deciphering the mechanisms underpinning organotropism could provide novel preventive and therapeutic strategies for patients with cancer. Rogava and colleagues identified Pip4k2c as a driver of liver metastasis, acting by sensitizing cancer cells to insulin-dependent PI3K/AKT signaling, which could be reversed by dual pharmacologic inhibition of PI3K and SGLT2 or a ketogenic diet. The study highlights the importance of tumor microenvironment communication in the context of systemic physiology and points toward potential combination therapies.

Indexed as

Liver NeoplasmsSignal TransductionTumor MicroenvironmentAnimalsHumansPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-akt

Identifiers

PMID38502849
PMCPMC11157585

What OpenQuestion holds

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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.