Evidence map›Paper›PMID 38502113›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2024

Molecular and Clinical Determinants of Acquired Resistance and Treatment Duration for Targeted Therapies in Colorectal Cancer.

Emily Harrold, Fergus Keane, Henry Walch, Joanne F Chou, Jenna Sinopoli, Silvia Palladino, Duaa H Al-Rawi, Kalyani Chadalavada, Paolo Manca, Sree Chalasani and 8 more

Abstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Clinical utility of longitudinal circulating tumor DNA analysis in metastatic colorectal cancer patients receiving palliative chemotherapy.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Observational
  2. Prognostic model construction and drug prediction in colorectal cancer using mitochondrial programmed cell death-related genes.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  3. Review
  4. Acquired High Tumor Mutational Burden and Activity of Immunotherapy after Targeted Therapy in Microsatellite Stable Colorectal Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  5. Review
  6. Review
  7. Targeting chromosomal instability in patients with cancer.Nature reviews. Clinical oncology · 2024
    Review
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

18 authors.

Emily HarroldDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0003-1733-7593
Fergus KeaneDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-6651-2090
Henry WalchDepartment of Epidemiology-Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0003-1188-350X
Joanne F ChouDepartment of Epidemiology-Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-6866-2022
Jenna SinopoliDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0003-0167-2792
Silvia PalladinoDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0009-0001-3498-6555
Duaa H Al-RawiDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-9218-6513
Kalyani ChadalavadaDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-9097-3989
Paolo MancaDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-3813-6339
Sree ChalasaniDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0009-0007-2815-8466
Jessica YangDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-5712-4173
Andrea CercekDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-5054-8192
Jinru ShiaDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-4351-2511
Marinela CapanuDepartment of Epidemiology-Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0003-4953-3193
Samuel F BakhoumHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-0295-3564
Nikolaus SchultzDepartment of Epidemiology-Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-0131-4904
Walid K ChatilaDepartment of Epidemiology-Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-5474-218X
Rona YaegerDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-7233-5454

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Exploiting the distinct genomics and signaling of colorectal cancers to effectively target ERKR01CA233736 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI YAEGER, RONA · 2019 to 2024
$2.5M
NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA233736
6 · The paper itself

Abstract

purposeTargeted therapies have improved outcomes for patients with metastatic colorectal cancer, but their impact is limited by rapid emergence of resistance. We hypothesized that an understanding of the underlying genetic mechanisms and intrinsic tumor features that mediate resistance to therapy will guide new therapeutic strategies and ultimately allow the prevention of resistance. EXPERIMENTAL

designWe assembled a series of 52 patients with paired pretreatment and progression samples who received therapy targeting EGFR (n = 17), BRAF V600E (n = 17), KRAS G12C (n = 15), or amplified HER2 (n = 3) to identify molecular and clinical factors associated with time on treatment (TOT).

resultsAll patients stopped treatment for progression and TOT did not vary by oncogenic driver (P = 0.5). Baseline disease burden (≥3 vs. <3 sites, P = 0.02), the presence of hepatic metastases (P = 0.02), and gene amplification on baseline tissue (P = 0.03) were each associated with shorter TOT. We found evidence of chromosomal instability (CIN) at progression in patients with baseline MAPK pathway amplifications and those with acquired gene amplifications. At resistance, copy-number changes (P = 0.008) and high number (≥5) of acquired alterations (P = 0.04) were associated with shorter TOT. Patients with hepatic metastases demonstrated both higher number of emergent alterations at resistance and enrichment of mutations involving receptor tyrosine kinases.

conclusionsOur genomic analysis suggests that high baseline CIN or effective induction of enhanced mutagenesis on targeted therapy underlies rapid progression. Longer response appears to result from a progressive acquisition of genomic or chromosomal instability in the underlying cancer or from the chance event of a new resistance alteration.

Indexed as

Colorectal NeoplasmsDrug Resistance, NeoplasmMolecular Targeted TherapyProto-Oncogene Proteins B-rafAdultAgedAged, 80 and overChromosomal InstabilityDisease ProgressionErb-b2 Receptor Tyrosine KinasesErbB ReceptorsFemaleGene AmplificationHumansMaleMiddle AgedBRAF protein, humanERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesErbB ReceptorsKRAS protein, humanProto-Oncogene Proteins B-rafProto-Oncogene Proteins p21(ras)

Identifiers

PMID38502113
PMCPMC11176917

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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.