Evidence map›Paper›PMID 41669566›Full record

ArticleAnimal cells and systems2026

Proteomics and phosphoproteomics of human colorectal cancer cells lacking a specific kinase activity reveal kinase-specific compensatory responses.

Bitnara Han, Hyun Ji Lim, Su-Jung Kim, Jaejin Shin, Hyeong Hwan Kim, Kyun-Hwan Kim, Chang-Hoon Nam, Kwang Pyo Kim

Abstract read
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Article in Animal cells and systems, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Bitnara HanDepartment of Applied Chemistry, Institute of Natural Science, Global Center for Pharmaceutical Ingredient Materials, Kyung Hee University, Yongin, Republic of Korea.
Hyun Ji LimDepartment of Biomedical Science and Technology, Kyung Hee Medical Science Research Institute, Kyung Hee University, Seoul, Republic of Korea.
Su-Jung KimDepartment of Applied Chemistry, Institute of Natural Science, Global Center for Pharmaceutical Ingredient Materials, Kyung Hee University, Yongin, Republic of Korea.
Jaejin ShinDepartment of Precision Medicine, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea.
Hyeong Hwan KimAging and Immunity Laboratory, Department of New Biology, Daegu Gyeongbuk Institute of Science and Technology, Daegu, Republic of Korea.
Kyun-Hwan KimDepartment of Precision Medicine, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea.
Chang-Hoon NamAging and Immunity Laboratory, Department of New Biology, Daegu Gyeongbuk Institute of Science and Technology, Daegu, Republic of Korea.
Kwang Pyo KimDepartment of Applied Chemistry, Institute of Natural Science, Global Center for Pharmaceutical Ingredient Materials, Kyung Hee University, Yongin, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell signaling regulates cell proliferation, survival, and migration, and abnormal kinase activity is often implicated in cancer. Although kinases are key targets for anticancer therapy, drug-induced compensatory signaling and pathway rewiring often drive acquired resistance. These compensatory responses enable tumor cells to maintain proliferation and survival, contributing to acquired drug resistance. In this study, we investigated adaptive responses following the knockout of four specific kinase genes, ERK2, PLK1, PIK3CA, and PAK4, using HCT-116, a human colorectal cancer cell line. Using CRISPR-Cas9, we generated individual knockout cell lines and conducted quantitative proteomic and phosphoproteomic profiling using isobaric tagging and tandem mass tag (TMTs) to evaluate alterations in the signaling landscape. Our integrated analysis quantified 7,531 proteins and 10,877 phosphopeptides, revealing kinase-specific patterns of compensatory signaling. ERK2 knockout was associated with activation of MAPK- and PI3K/AKT-related kinases, whereas PIK3CA knockout induced extensive proteomic remodeling and engagement of pro-survival phosphorylation programs, illustrating distinct modes of signaling network rewiring. Integration of kinase-substrate enrichment analysis (KSEA) with global proteomic data revealed that adaptive kinase activity was largely uncoupled from protein abundance and uncovered a synthetic lethal interaction between ERK2 loss and RPS6KB1 inhibition. Collectively, these findings elucidate how targeted kinase loss drives homeostatic signaling networks in cancer cells. By systemically characterizing cellular-level signaling changes and contextualizing them within known kinase pathways, our results provide insights into synthetic lethality and identify potential therapeutic targets to counteract adaptive resistance to kinase inhibitors.

Indexed as

CRISPR–Cas9gene editingPhosphoproteomicsproteomicssignal-rewiring

Identifiers

PMID41669566
PMCPMC12885026

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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.