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From tumour heterogeneity to advances in precision treatment of colorectal cancer
Open accessAbstract
In recent years, the high heterogeneity of colorectal cancer (CRC) has become evident. Hence, biomarkers need to be developed that enable the stratification of patients with CRC into different prognostic subgroups and in relation to response to therapies, according to the distinctive tumour biology. Currently, only RAS-mutation status is used routinely as a negative predictive marker to avoid treatment with anti-EGFR agents in patients with metastatic CRC, and mismatch-repair status can guide the use of adjuvant chemotherapy in patients with early stage colon cancer. Advances in molecular biology over the past decade have enabled a better understanding of the development of CRC, as well as the more-precise use of innovative targeted therapies for this disease, and include three fundamental achievements. First, the availability of large databases to capture and store the genomic landscape of patients with CRC, providing information on the genes that are frequently deregulated in CRC. Second, the possibility of using gene-expression profiling to differentiate the subtypes of CRC into prognostic groups. Third, results from highly sensitive next-generation sequencing analyses have led to an appreciation of the extensive intratumoural heterogeneity of CRC. Herein, we discuss these advances and place them into the clinical context, and present the novel targets and therapeutic opportunities that are on the horizon.
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“5-FU/LV is useful in palliative therapy for mCRC, but the development of effective doublet combination therapy regimens, including FOLFOX (folinic acid (leucovorin), 5-FU, oxaliplatin) and FOLFIRI (leucovorin, 5-FU, irinotecan) [10], resulted in significant survival advantages.”
From Recent Advances in Therapeutic Strategies to Improve Colorectal Cancer Treatment (2024) · cites this paper as [10]
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Cites
A genetic model for colorectal tumorigenesis
Fearon, E. R., & Vogelstein, B. (1990) · Cell · doi:10.1016/0092-8674(90)90186-i · Cited by 12,132
Bevacizumab plus Irinotecan, Fluorouracil, and Leucovorin for Metastatic Colorectal Cancer
Hurwitz, H., Fehrenbacher, L., Novotny, W., Cartwright, T., Hainsworth, J., Heim, W., Berlin, J., Baron, A., Griffing, S., Holmgren, E., et al. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa032691 · Cited by 10,968
PD-1 Blockade in Tumors with Mismatch-Repair Deficiency
Le, D. T., Uram, J. N., Wang, H., Bartlett, B. R., Kemberling, H., Eyring, A. D., Skora, A. D., Luber, B. S., Azad, N. S., Laheru, D., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1500596 · Cited by 9,377
Comprehensive molecular characterization of human colon and rectal cancer
The Cancer Genome Atlas Network (2012) · Nature · doi:10.1038/nature11252 · Cited by 8,499
The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity
Barretina, J., Caponigro, G., Stransky, N., Venkatesan, K., Margolin, A. A., Kim, S., Wilson, C. J., Lehár, J., Kryukov, G. V., Sonkin, D., et al. (2012) · Nature · doi:10.1038/nature11003 · Cited by 7,950
The consensus molecular subtypes of colorectal cancer
Guinney, J., Dienstmann, R., Wang, X., de Reyniès, A., Schlicker, A., Soneson, C., Marisa, L., Roepman, P., Nyamundanda, G., Angelino, P., et al. (2015) · Nature Medicine · doi:10.1038/nm.3967 · Cited by 5,170
Self-citationA human colon cancer cell capable of initiating tumour growth in immunodeficient mice
O'Brien, C. A., Pollett, A. F., Gallinger, S., & Dick, J. E. (2006) · Nature · doi:10.1038/nature05372 · Cited by 4,174
Identification and expansion of human colon-cancer-initiating cells
Ricci‐Vitiani, L., Lombardi, D. G., Pilozzi, E., Biffoni, M., Todaro, M., Peschle, C., & Maria, R. D. (2006) · Nature · doi:10.1038/nature05384 · Cited by 4,001
Cetuximab and Chemotherapy as Initial Treatment for Metastatic Colorectal Cancer
Van Cutsem, E., Köhne, C.-H., Hitre, E., Zaluski, J., Chang Chien, C.-R., Makhson, A., D'Haens, G., Pintér, T., Lim, R., Bodoky, G., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0805019 · Cited by 3,877
K-ras Mutations and Benefit from Cetuximab in Advanced Colorectal Cancer
Karapetis, C. S., Khambata-Ford, S., Jonker, D. J., O'Callaghan, C. J., Tu, D., Tebbutt, N. C., Simes, R. J., Chalchal, H., Shapiro, J. D., Robitaille, S., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0804385 · Cited by 3,622
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Items 301–400 of 677
Bharti, A., Ajinkya, K., Markus, M. A., Ramos‐Gomes, F., Bohnenberger, H., Ströbel, P., Alves, F., & Klein, O. (2024) · npj Imaging · doi:10.1038/s44303-024-00041-3 · Cited by 13
Luo, Q., Quan, Y., Liu, W., Wu, Z., Qiu, W., Liang, W., Yang, P., Huang, Q., Li, G., Wei, J., et al. (2024) · Cancer Management and Research · doi:10.2147/cmar.s441675 · Cited by 13
“4 The high heterogeneity of CRC on clinical and biological features culminates in significant differences in disease progression and treatment response, 5–7 thereby leading to the limited benefit of available treatment options to a considerable number of CRC patients in the clinic.”
BackgroundHuang, T., Liu, J., Guan, Y., Zheng, J. W., El-kott, A. F., & Negm, S. (2024) · Journal of Molecular Structure · doi:10.1016/j.molstruc.2024.139541 · Cited by 13
Novel Therapeutic Strategies for Solid Tumor Based on Body’s Intrinsic Antitumor Immune System
Duan, H. (2018) · Cellular Physiology and Biochemistry · doi:10.1159/000489979 · Cited by 14
Zhang, P., Wen, F., Zhou, J., Huang, J.-X., Zhou, K.-X., Wu, Q., Wang, X., Zhang, M.-X., Liao, W.-T., & Li, Q. (2019) · Clinical & Translational Oncology · doi:10.1007/s12094-019-02114-x · Cited by 13
Spatially resolved quantification of drug metabolism and efficacy in 3D paper-based tumor mimics
Larson, T. S., Glish, G. L., & Lockett, M. R. (2021) · Analytica Chimica Acta · doi:10.1016/j.aca.2021.339091 · Cited by 13
Jia, E., Ren, N., Guo, B., Cui, Z. G., Zhang, B., & Xue, J. (2022) · World Journal of Surgical Oncology · doi:10.1186/s12957-022-02509-1 · Cited by 13
“Developments in next-generation sequencing technology facilitate epigenetic markers to guide the evaluation of prognosis of malignant tumors [8, 9].”
BackgroundLi, H., Yan, X., Liu, L., Huang, L., Yin, M., Pan, C., Zhang, P., & Qin, H. (2017) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2017.01.128 · Cited by 13
Baretti, M., Personeni, N., Destro, A., Santoro, A., & Rimassa, L. (2018) · Cancer Biology & Therapy · doi:10.1080/15384047.2018.1450117 · Cited by 13
“for following intratumor heterogeneity and guiding cancer treatment in clinical settings.(10,13)”
BackgroundA Simplified Genomic Profiling Approach Predicts Outcome in Metastatic Colorectal Cancer
Capalbo, C., Belardinilli, F., Raimondo, D., Milanetti, E., Malapelle, U., Pisapia, P., Magri, V., Prete, A. A., Pecorari, S., Colella, M., et al. (2019) · Cancers · doi:10.3390/cancers11020147 · Cited by 13
Tchelebi, L. T., Romesser, P. B., Feuerlein, S., Hoffe, S. E., Latifi, K., Felder, S. I., & Chuong, M. D. (2020) · Cancer Control · doi:10.1177/1073274820969449 · Cited by 14
Feng, J., Fu, F., & Nie, Y. (2023) · Frontiers in Pharmacology · doi:10.3389/fphar.2023.1121634 · Cited by 12
“It has been recognized that COAD is a malignancy with intertumor and intratumor heterogeneity, which contribute to difference of prognosis and therapy response (Punt et al., 2017).”
BackgroundZwart, K., van Nassau, S. C. M. W., van der Baan, F. H., Koopman, M., Snæbjörnsson, P., van Gestel, A. J., Vink, G. R., & Roodhart, J. M. L. (2024) · British Journal of Cancer · doi:10.1038/s41416-024-02711-w · Cited by 12
Self-citationChen, Y., Zhao, N., Xu, L., Jia, X., Liu, F., Huang, J., Li, X., Wang, Y., Lai, C., Shen, Y., et al. (2025) · Molecular Cancer · doi:10.1186/s12943-025-02359-x · Cited by 13
“The heterogeneity of CRC, characterized by complex genetic and epigenetic alterations, necessitates the identification of novel therapeutic targets to improve patient outcomes [8, 9].”
Wang, H., Weng, Q., Hui, J., Fang, S., Wu, X., Mao, W., Chen, M., Zheng, L., Wang, Z., Zhao, Z., et al. (2019) · Academic Radiology · doi:10.1016/j.acra.2019.05.005 · Cited by 14
Liquid Biopsy-Based Colorectal Cancer Screening via Surface Markers of Circulating Tumor Cells
Tieng, F. Y. F., Abu, N., Nasir, S. N., Lee, L., & Mutalib, N. A. (2021) · Diagnostics · doi:10.3390/diagnostics11112136 · Cited by 12
Huang, Y.-Q., He, L., Li, Z.-H., Chen, X., Han, C., Zhao, K., Zhang, Y., Qu, J., Mao, Y., Liang, C.-H., et al. (2022) · Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · doi:10.21147/j.issn.1000-9604.2022.01.04 · Cited by 9
“Traditional prediction of survival outcome achieved by tumor staging [American Joint Committee on Cancer (AJCC)/The Union for International Cancer Control (UICC)-TNM classification], although powerful, assumes homogeneity within each stage and fails to provide adequate prognostic information (2).”
MethodIdentification of 9 Gene Signatures by WGCNA to Predict Prognosis for Colon Adenocarcinoma
Yang, M., He, H., Peng, T., Lu, Y., & Yu, J. (2022) · Computational Intelligence and Neuroscience · doi:10.1155/2022/8598046 · Cited by 12
“CC is highly heterogeneous, and even tumors of the same type with similar characteristics will exhibit different biological behaviors [2].”
BackgroundRetractedWielandt, A. M., Villarroel, C., Hurtado, C., Simian, D., Zamorano, D., Martínez, M., Castro, M., Vial, M. T., Kronberg, U., & López-Köstner, F. (2017) · Revista médica de Chile · doi:10.4067/s0034-98872017000400001 · Cited by 13
“Tumor budding Bajo 10 (30) 23 (70) 33 (100) 0,5584 Alto 4 (33) 8 (67) 12 (100) NI 1 (33) 2 (67) 3 (100)”
InfluentialBET inhibitor bromosporine enhances 5-FU effect in colorectal cancer cells
Cheng, X., Huang, Z., Long, D., & Jin, W. (2019) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2019.11.009 · Cited by 12
Mutation Profiling of Premalignant Colorectal Neoplasia
Karczmarski, J., Goryca, K., Pachlewski, J., Dąbrowska, M., Pyśniak, K., Paziewska, A., Kulecka, M., Lenarcik, M., Mróz, A., Mikuła, M., et al. (2019) · Gastroenterology Research and Practice · doi:10.1155/2019/2542640 · Cited by 12
“Sequence alterations in specific genes, including APC and KRAS, contribute to the development of early polypoid lesions, while other genetic aberrations, such as inactivating mutations of TP53, can promote malignancy and are observed in more advanced stages of CRC development [23].”
BackgroundExploring and bypassing resistance to targeted therapies in colorectal cancer
Favier, S., Xiong, W., Chalabi-Dchar, M., Chettab, K., Piercey, O., Wu, T., Fenouil, T., Albaret, M.-A., Jordheim, L. P., Diaz, J.-J., et al. (2025) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2025.118741 · Cited by 12
Etikyala, U., Reddyrajula, R., Pasha, A., Dalimba, U., Pawar, S. C., & Manga, V. (2024) · Journal of Molecular Structure · doi:10.1016/j.molstruc.2024.138569 · Cited by 11
Zhang, X., Gao, F., Li, N., Zhang, J., Dai, L., & Yang, H. (2020) · Journal of Cancer · doi:10.7150/jca.38057 · Cited by 10
“Furthermore, in most of the studies above, colon cancer and rectum cancer were mixed, considering the heterogeneity in colorectal cancer [37, 38], it is necessary to study them separately.”
BackgroundLu, Y., Wu, S., Cui, C., Yu, M., Wang, S., Yue, Y., Liu, M., & Sun, Z. (2020) · OncoTargets and Therapy · doi:10.2147/ott.s255590 · Cited by 11
Tournier, B., Aucagne, R., Truntzer, C., Fournier, C., Ghiringhelli, F., Chapusot, C., Martin, L., Bouvier, A., Manfrédi, S., Jooste, V., et al. (2022) · Cancers · doi:10.3390/cancers15010158 · Cited by 11
“Approximately 20% of stage II CC show dMMR where it is predictive of good prognosis with potentially no benefit from adjuvant chemotherapy by 5-FU [8,9].”
BackgroundSilva, V. S. E., Abdallah, E. A., Brito, A. B. C., Braun, A. C., Tariki, M. S., de Mello, C. A. L., Calsavara, V. F., Riechelmann, R. P., & Chinen, L. T. D. (2021) · Diagnostics · doi:10.3390/diagnostics11030502 · Cited by 11
SiRNA-based delivery nanoplatform attenuates the CRC progression via HIF1α-AS2
Meng, Q., Wang, J., Jiang, B., Zhang, X., Xu, J., Cao, Y., Yang, H., Wu, S., Gao, N., Zhang, Y., et al. (2022) · Nano Today · doi:10.1016/j.nantod.2022.101667 · Cited by 11
Li, M.-M., Yuan, Y.-W., Zhou, H., Feng, F., & Xu, G.-D. (2024) · Abdominal Radiology · doi:10.1007/s00261-024-04218-7 · Cited by 10
“CRC is widely acknowledged as a heterogeneous disease, with its pathogenesis involving various genetic alterations and multiple pathways [3].”
Tumour heterogeneity and personalized treatment screening based on single-cell transcriptomics
Zhang, X., Xie, J., Yang, Z., Yu, C. K. W., Hu, Y., & Qin, J. (2024) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2024.12.020 · Cited by 13
Growth Factors in the Intestinal Tract
Schumacher, M. A., Danopoulos, S., Alam, D. A., & Frey, M. R. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-809954-4.00003-7 · Cited by 10
Advanced Age Is a Risk Factor for Recurrence After Resection in Stage II Colorectal Cancer
Mima, K., Kurashige, J., Miyanari, N., Morito, A., Yumoto, S., Matsumoto, T., Kosumi, K., Inoue, M., Mizumoto, T., Kubota, T., et al. (2019) · In Vivo · doi:10.21873/invivo.11779 · Cited by 10
Tan, X., Chen, D., Guo, S., Wang, Y., Zou, Y., Wu, Z., Zhou, F., Qin, Z., Liu, Z., Cao, Y., et al. (2020) · Theranostics · doi:10.7150/thno.51725 · Cited by 10
“To complement tumor evaluation precisely, it has become recognized that developments in molecular stratifications provide additional prognostic value and targeted treatment strategies to the classic staging system [13, 14].”
BackgroundWu, F., Shao, R., Zheng, P., Zhang, T., Qiu, C., Sui, H., Li, S., Jin, L., Pan, H., Jin, X., et al. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.813854 · Cited by 10
“Although surgical treatment is effective in the early stage of colon cancer, chemotherapy is still a key approach used for colon cancer therapy (2).”
BackgroundClassification of colorectal carcinoma subtypes based on ferroptosis-associated molecular markers
Yue, Q., Zhang, Y., Wang, F., Cao, F., Duan, X., & Bai, J. Y. (2022) · World Journal of Surgical Oncology · doi:10.1186/s12957-022-02575-5 · Cited by 10
“CRC is a heterogeneous disease [4], and the poor prognosis and relapse in patients with CRC are mainly attributed to its heterogeneity.”
BackgroundYue, Q., Zhang, Y., Wang, F., Cao, F., Bai, J. Y., & Duan, X. (2022) · Journal of Immunology Research · doi:10.1155/2022/8766735 · Cited by 10
“The prognosis of patients with CRC varies widely even among patients with the same stage and therapeutic regimen, largely attributed to the highly heterogeneous nature of CRC [4].”
Metabolomic profiling identifies biomarkers and metabolic impacts of surgery for colorectal cancer
Zhuang, F., Bai, X., Shi, Y., Chang, L., Ai, W., Du, J., Liu, W., Liu, H., Zhou, X., Wang, Z., et al. (2022) · Frontiers in Surgery · doi:10.3389/fsurg.2022.913967 · Cited by 10
“Despite the great advances in early detection and multimodality therapy for CRC (2), the outcome of patients with advanced tumors is still not satisfactory.”
BackgroundXu, Y., Tang, Q., Ding, N., Zhang, T., & Luo, H. (2023) · PeerJ · doi:10.7717/peerj.15476 · Cited by 10
“In recent years, substantial advancements have been made in the comprehension of molecular markers and the development of innovative treatment strategies for COAD ( Lee & Chan, 2011 ; Nowak & Hornick, 2016 ; Punt, Koopman & Vermeulen, 2017 ; Gonzalez, Washington & Shi, 2017 ).”
BackgroundSpagnoletti, G., Bergolis, V. L., Piscazzi, A., Giannelli, F., Condelli, V., Sisinni, L., Bove, G., Storto, G., & Landriscina, M. (2018) · Tumor Biology · doi:10.1177/1010428318770957 · Cited by 10
Ai, X., Lei, Q., Shen, X., Li, J., Cen, C., ., G. X., Luo, B., Zhu, W., Hu, G. M., Wu, H., et al. (2018) · Oncology Reports · doi:10.3892/or.2018.6834 · Cited by 10
“To clarify the mechanism of CRC pathogenesis, numerous protein-coding genes and non-protein-coding genes have been shown to regulate CRC initiation and development (21,22).”
BackgroundModeling the effects of EMT-immune dynamics on carcinoma disease progression
Bergman, D. R., Karikomi, M. K., Yu, M., Nie, Q. H., & MacLean, A. L. (2021) · Communications Biology · doi:10.1038/s42003-021-02499-y · Cited by 9
Niu, Y., Yang, W., Qian, H., & Sun, Y. (2022) · Cancer Cell International · doi:10.1186/s12935-022-02766-w · Cited by 10
Qiu, P., Chen, X., Xiao, C., Zhang, M., Wang, H., Wang, C., Li, D., Liu, J., Chen, Y., Liu, L., et al. (2023) · Journal of Cancer Research and Clinical Oncology · doi:10.1007/s00432-023-04626-0 · Cited by 10
“CRC results from the cumulative evolution of genetic mutations, triggered by environmental factors and individual characteristics (Lasry et al. 2016; Punt et al. 2017).”
BackgroundA prognostic five long–noncoding RNA signature for patients with rectal cancer
Zhao, K., Wang, M., Kang, H., & Wu, A. (2019) · Journal of Cellular Biochemistry · doi:10.1002/jcb.29549 · Cited by 10
“heterogeneity of rectal cancer.(3) Thus, it is essential to find novel biomarkers for prediction of prognosis in patients with rectal cancer.”
BackgroundLi, S., Pan, T., Xu, G., Gao, Y., Zhang, Y., Xu, Q., Pan, J., Zhou, W., Xu, J., Li, Q., et al. (2023) · Communications Biology · doi:10.1038/s42003-023-05117-1 · Cited by 10
van Geffen, E. G. M., Hogewoning, C. R. C., Hazen, S.-M. J. A., Sluckin, T. C., Lange, M. M., Snæbjörnsson, P., Beets‐Tan, R. G. H., Marijnen, C. A. M., Verhoef, C., Chalabi, M., et al. (2024) · Clinical Colorectal Cancer · doi:10.1016/j.clcc.2024.12.003 · Cited by 9
Taniguchi, H., Uehara, K., Ishikawa, T., Okochi, O., Akazawa, N., Okuda, H., Hasegawa, H., Shiozawa, M., Kataoka, M., Satake, H., et al. (2025) · Cancers · doi:10.3390/cancers17030399 · Cited by 11
“Precision medicine has recently gained prominence in oncology, particularly for cancers like CRC, where genetic and molecular heterogeneity significantly influence disease progression and treatment response [11].”
PI3 expression predicts recurrence after chemotherapy with DNA ‐damaging drugs in gastric cancer
Harada, K., Sakamoto, N., Kitaoka, T., Nakamura, Y., Kondo, R., Morisue, R., Hashimoto, H., Yamamoto, Y., Ukai, S., Maruyama, R., et al. (2025) · The Journal of Pathology · doi:10.1002/path.6400 · Cited by 10
“Despite advancements in genomics that have facilitated the selection of molecularly targeted therapies, progress in chemotherapy has been slow owing to the diversity and complexity of the mechanisms of action of anticancer agents and the development of resistance to these drugs [3,4].”
Alshohoumi, F., Al-Hamdani, A., Hedjam, R., Abdulsalam, A. A., & Alzaabi, A. A. (2022) · Healthcare · doi:10.3390/healthcare10102075 · Cited by 9
“CRC is classified into four stages based on the extent to which the tumor has spread from the colon to lymph nodes and distant organs [10].”
BackgroundNon‐coding RNAs are correlated to TGF‐β receptor type 2 in patients with colorectal cancer
Abkenar, B. R., Mohammadi, A., Amoli, H. A., Soleimani, A. A., Korani, M., Mahmoodi, H., & Najafi, M. (2022) · The Journal of Gene Medicine · doi:10.1002/jgm.3472 · Cited by 9
Buikhuisen, J. Y., Barila, P. M. G., Cameron, K., Suijkerbuijk, S. J. E., Lieftink, C., Franco, S. D., García, A. K., Uceda-Castro, R., Lenos, K., Nijman, L. E., et al. (2023) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-023-02600-9 · Cited by 10
“Although this classification system is clinically insightful to some extent, it does not fully explain the differences in treatment responses or prognosis, and neither do common mutations or dysregulated pathways [3].”
BackgroundSelf-citationYalçın, G. D., Yilmaz, K. C., Dilber, T., & Acar, A. (2023) · PLoS ONE · doi:10.1371/journal.pone.0291942 · Cited by 10
“Tumours frequently demonstrate genomic heterogeneity, with various (epi)genetic changes found in different subclones [28, 29].”
Zhou, H., Lv, M., Li, W., Wang, Y., Wu, J., Liu, Q., Liu, T., Cui, Y., & Li, Q. (2023) · Clinical Colorectal Cancer · doi:10.1016/j.clcc.2023.10.008 · Cited by 10
Nrf2, A Target for Precision Oncology in Cancer Prognosis and Treatment
Ngo, H. K. C., Le, H., & Surh, Y. (2023) · Journal of Cancer Prevention · doi:10.15430/jcp.2023.28.4.131 · Cited by 9
“Whilst, the variations among individuals with the same type of cancer determine which targeted therapies a subpopulation would be sensitive to [57,61].”
BackgroundZhu, B., Zhang, P., Liu, M., Jiang, C., Liu, H., & Fu, J. (2018) · Translational Oncology · doi:10.1016/j.tranon.2018.07.006 · Cited by 9
Zhang, M., Zhou, Z., Pan, X., Zhou, Y., Li, H., Qiu, P., Zhang, M., Peng, R., Wang, H., Liu, L., et al. (2020) · Cancer Cell International · doi:10.1186/s12935-020-01604-1 · Cited by 9
Fan, J., Wang, G.-F., Cheng, X., Dong, Z., Chen, X., Deng, Y., & Song, X. (2021) · World Journal of Clinical Cases · doi:10.12998/wjcc.v9.i11.2458 · Cited by 9
Hypoxia‐Responsive Platinum Supernanoparticles for Urinary Microfluidic Monitoring of Tumors
Xu, Q. H., Pan, Y., Liu, X., Gao, Y., Luan, X., Zeng, F., Zhou, D., Long, W., Wang, Y., & Song, Y. (2022) · Angewandte Chemie · doi:10.1002/ange.202114239 · Cited by 9
Jin, H., Amonkar, M. M., Aguiar‐Ibáñez, R., Thosar, M., Chase, M., & Keeping, S. (2022) · Future Oncology · doi:10.2217/fon-2021-1633 · Cited by 9
Li, C., Zhang, K., Gong, Y., Wu, Q., Zhang, Y., Dong, Y., Li, D., & Wang, Z. (2023) · Frontiers in Pharmacology · doi:10.3389/fphar.2023.1200054 · Cited by 10
“Frontiers in Pharmacology frontiersin.org02 The following processes were performed for the GSE39582 and GSE17538 data sets: samples with expression profiles and overall survival information were retained as training subjects (Miller et al., 2020), and probe sequences were re-annotated using the SeqMap to convert probe…”
BackgroundMethodInfluentialEgan, J. B., Marks, D. L., Hogenson, T. L., Vrabel, A. M., Sigafoos, A. N., Tolosa, E. J., Carr, R. M., Safgren, S. L., Enriquez-Hesles, E., Almada, L. L., et al. (2017) · JCO Precision Oncology · doi:10.1200/po.17.00018 · Cited by 9
Wang, Y., Ji, H., Zhu, B., Xing, Q., & Xie, H. (2022) · European Journal of Immunology · doi:10.1002/eji.202250105 · Cited by 8
Liu, W., Luo, X., Zhang, Z., Chen, Y., Dai, Y., Deng, J., Yang, C., & Liu, H. (2024) · Cancer Immunology Immunotherapy · doi:10.1007/s00262-024-03658-w · Cited by 8
Rinaldi, R., Laurino, S., Salvia, R., Russi, S., Stefano, F. D., Galasso, R., Sgambato, A., Scieuzo, C., Falco, G., & Falabella, P. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26051885 · Cited by 8
Personalized risk stratification in colorectal cancer via PIANOS system
Cai, D., Qi, H., Yang, Q., Li, H., Li, C., Hu, C., Gai, B., Zhang, X., Mao, Y., Gao, F., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-61713-1 · Cited by 8
LncRNA NEAT1 Promotes the Malignant Progression of Colorectal Cancer by Targeting ZEB1 via miR-448
Wu, H., Dong, D., Wang, J., Yin, S., Gong, Y., Yang, C., Bai, Y., Wang, J., & Du, Y. (2022) · Technology in Cancer Research & Treatment · doi:10.1177/15330338221085348 · Cited by 8
“ZEB1 expression is also dysregulated in colorectal cancer and is related to a high grade of colorectal cancer.(16) It was demonstrated that ZEB1 is the target of miR-448 and negatively correlates with the expression of miR-448.”
BackgroundSalehitabar, E., Mahdevar, M., Motlagh, A. V., Forootan, F. S., Feizbakhshan, S., Zohrabi, D., & Peymani, M. (2022) · Cancer Cell International · doi:10.1186/s12935-022-02694-9 · Cited by 8
“Many studies have shown that tumor specimens with the same clinical symptoms have a range of differences in many gene levels, and this issue is associated with pathogenic complexities and difficult patient perception [19].”
BackgroundGao, H., Ma, L., Zou, Q., Hu, B., Cai, K., Sun, Y., Li, L., & Ren, D. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e19224 · Cited by 8
Chen, R., Sugiyama, A., Seno, H., & Sugimoto, M. (2019) · PLoS ONE · doi:10.1371/journal.pone.0221772 · Cited by 8
Overexpression of LBX2 associated with tumor progression and poor prognosis in colorectal cancer
Huang, X., Yang, Y., Yang, C., Li, H., Cheng, H., & Zheng, Y. (2020) · Oncology Letters · doi:10.3892/ol.2020.11489 · Cited by 8
“Nevertheless, individual prognosis prediction remains challenging due to the high heterogeneity and complex molecular biological characteristics of CRC (18).”
BackgroundStaal, D. P., Vlooswijk, C. C. P., Mols, F., Lidington, E. K., van der Graaf, W. T. A., Bijlsma, R. M., & Husson, O. (2020) · Supportive Care in Cancer · doi:10.1007/s00520-020-05502-0 · Cited by 8
The fiber metabolite butyrate reduces gp130 by targeting TRAF5 in colorectal cancer cells
Yuan, Y., Li, B., Kuang, Y., Ni, S., Zhuge, A., Yang, J., Lv, L., Gu, S., Ren, Y. X., Li, Y., et al. (2020) · Cancer Cell International · doi:10.1186/s12935-020-01305-9 · Cited by 8
Koo, B., Jun, E., Liu, H., Kim, E. J., Park, Y., Lim, S., Kim, S. C., & Shin, Y. M. (2020) · Scientific Reports · doi:10.1038/s41598-020-72163-8 · Cited by 8
Yun, Z., Yue, M., Kang, Z., & Zhang, P. (2021) · Experimental Cell Research · doi:10.1016/j.yexcr.2021.112936 · Cited by 8
Mehrgou, A., & Teimourian, S. (2022) · PLoS ONE · doi:10.1371/journal.pone.0265527 · Cited by 8
Novel six-gene prognostic signature based on colon adenocarcinoma immune-related genes
Zhou, R., Gao, Z., & Ju, Y. (2022) · BMC Bioinformatics · doi:10.1186/s12859-022-04909-2 · Cited by 8
“However, most patients are in the middle to late stages of the disease when diagnosed, in which case the 5 years survival rate decreases to approximately 10% [5].”
BackgroundYang, C. G., Lu, Y., Huang, C., Wu, J., Shao, Y., Wang, Z., Zhang, H., & Fu, Z. (2023) · Frontiers in Genetics · doi:10.3389/fgene.2023.1149995 · Cited by 8
“Traditional histological classification approaches, however, cannot adequately direct the treatment of all patients due to the high heterogeneity of colonic malignancies (Punt et al., 2017).”
BackgroundZou, S., Li, W., Wang, W., Li, W., Shi, S.-S., Ying, J., & Lyu, N. (2018) · Journal of Cancer Research and Clinical Oncology · doi:10.1007/s00432-018-2742-1 · Cited by 8
Nomograms for Prediction of Molecular Phenotypes in Colorectal Cancer
Yu, Z., Yu, H., Zou, Q., Huang, Z., Wang, X., Tang, G., Bai, L., Zhou, C., Zhuang, Z., Xie, Y., et al. (2020) · OncoTargets and Therapy · doi:10.2147/ott.s234495 · Cited by 8
“CRC is widely recognized as a result of gradual accumulations of genetic and epigenetic changes involving in different genes and pathways, and thus it is considered as a disease with high heterogeneity.(3) This heterogeneous nature confers the variation of CRC patients in treatment response and prognosis.”
BackgroundZhang, L., & Qian, Y. (2022) · Journal of International Medical Research · doi:10.1177/03000605221140683 · Cited by 7
“Tumor heterogeneity means that CRCs respond inconsistently to specific treatments, leading to various detailed classifications of the disease and stratified therapeutic strageties.(19) Consensus molecular subtypes (CMS) is one of the most wellknown gene expression-based CRC classifications, which sorts tumors into fou…”
Backgroundvan Nassau, S. C. M. W., Bol, G. M., van der Baan, F. H., Roodhart, J. M. L., Vink, G. R., Punt, C. J. A., May, A. M., Koopman, M., & Derksen, J. W. G. (2024) · Current Treatment Options in Oncology · doi:10.1007/s11864-024-01186-4 · Cited by 8
“1 Landscape of molecularly targeted treatments* for metastatic CRC. Adapted from Punt CJA, Koopman M, and Ver-meulen L. Nat Rev Clin Oncol 14, 235–246 (2017) [13] .”
BackgroundSelf-citationPlasma ctDNA enhances the tissue-based detection of oncodriver mutations in colorectal cancer
Wang, W., Huang, Y., Kong, J., Lü, L., Liao, Q., Zhu, J., Wang, T., Yan, L., Dai, M., Chen, Z., et al. (2024) · Clinical & Translational Oncology · doi:10.1007/s12094-024-03422-7 · Cited by 7
“Tumor tissue next-generation sequencing (NGS) of clinically targetable mutations is important for precise treatment for CRC, while intertumor and intratumor heterogeneity hampers the further application of tissue-based NGS [5, 10].”
BackgroundWang, F., Zhang, S., Chen, Z., Gu, X., Zhang, G., Zhang, H., & Yuan, W. (2024) · Scientific Reports · doi:10.1038/s41598-024-80885-2 · Cited by 7
Lu, J.-F., Zhang, X.-R., Liu, Y., Zhang, C., Wang, L., Liu, Z., Cai, J., & Yi, H.-W. (2025) · International Journal of Nanomedicine · doi:10.2147/ijn.s547463 · Cited by 7
Gold, M., Pachmann, K., Kiani, A., & Schobert, R. (2021) · Molecular and Clinical Oncology · doi:10.3892/mco.2021.2363 · Cited by 7
“Over the last decade, targeted therapies came to the fore with genomic markers enabling the selection of appropriate patients, who generally represent a minority among the whole patient population (8).”
Development of Tier 2 LC-MRM-MS protein quantification methods for liquid biopsies
Diederiks, N. M., Ravensbergen, C. J., Treep, M. M., van Wezel, M., Kuruc, M., Ruhaak, L. R., Tollenaar, R. A. �. �., Cobbaert, C. M., van der Burgt, Y. E. M., & Mesker, W. E. (2022) · Journal of Mass Spectrometry and Advances in the Clinical Lab · doi:10.1016/j.jmsacl.2022.12.007 · Cited by 7
“In addition to early detection as a determinant of patient survival, cancer encompasses a heterogeneous spectrum of neoplastic diseases, ranging from indolent lesions to tumors with high metastatic potential [4,5].”
BackgroundMeng, Y., Si, Y., Guo, T., Zhao, W., Zhang, L., Wang, Y. Q., Wang, L., Sun, K., & Feng, S. (2025) · Scientific Reports · doi:10.1038/s41598-025-91251-1 · Cited by 9
Mezheyeuski, A., Hrynchyk, I., Herrera, M., Karlberg, M., Osterman, E., Ragnhammar, P., Edler, D., Portyanko, A., Pontén, F., Sjöblom, T., et al. (2019) · British Journal of Cancer · doi:10.1038/s41416-019-0519-1 · Cited by 9
Hrzic, R., Simons, C. C. J. M., Schouten, L. J., van Engeland, M., van den Brandt, P. A., & Weijenberg, M. P. (2020) · Scientific Reports · doi:10.1038/s41598-020-60300-2 · Cited by 7
Zhang, C., Zhao, Z., Liu, H., Yao, S., & Zhao, D. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.657658 · Cited by 7
Guo, S., Ye, Y., Liu, X., Gong, Y., Xu, M., Song, L., & Liu, H. (2021) · Cancer Management and Research · doi:10.2147/cmar.s327596 · Cited by 7
“Discussion The Status of Heterogeneity in CRC Tissues and Its Indication for Cancer Therapy and Prognosis The heterogeneity of cancers has always been a focus in cancer research, and many studies have reported the status of heterogeneity in various cancers and its implications for targeted therapy.(4,9) Heterogeneity…”
BackgroundXin, R., Tang, X.-M., Jiang, Y., Yu, F., Li, S., Jia, C., Wang, G., Fu, D., Liu, J.-B., & Ma, Y. (2022) · Journal of Oncology · doi:10.1155/2022/3216285 · Cited by 7
“To date, even combination therapy has been unable to improve the prognosis of CRC patients [5, 6].”
BackgroundLai, W., Liao, J., Li, X., Liang, P., He, L., Huang, K., Liang, X., & Wang, Y. (2023) · Frontiers in Genetics · doi:10.3389/fgene.2023.1067666 · Cited by 8
“It has been observed that there are significant individual differences in the prognosis of cancer patients despite controlling for factors such as age and clinical stage, which is likely due to tumor heterogeneity (Punt et al., 2017).”
BackgroundPolypeptide‑GalNAc‑T6 expression predicts better overall survival in patients with colon cancer
Ubillos, L., Berriel, E., Mazal, D., Victoria, S., Barrios, E., Osinaga, E., & Berois, N. (2018) · Oncology Letters · doi:10.3892/ol.2018.8686 · Cited by 7
“Precision oncology is becoming increasingly important in CRC management since the great molecular heterogeneity determines large variations in prognosis and response to chemotherapy of individual patients (58,59).”
Cheung, H., Kim, J. K., Hudson, J. M., Coburn, N. G., Karanicolas, P. J., Law, C. H. L., & Milot, L. M. (2019) · European Radiology · doi:10.1007/s00330-019-06177-w · Cited by 7
Modeling precision genomic-based radiation dose response in rectal cancer
Yuan, Z., Frazer, M., Ahmed, K. A., Naqvi, S. M. H., Schell, M. J., Felder, S. I., Sanchez, J., Dessureault, S., Imanirad, I., Kim, R. D., et al. (2020) · Future Oncology · doi:10.2217/fon-2020-0060 · Cited by 7
Kothapalli, Y., Lesperance, T. A., Jones, R. A., Chu, C. K., & Singh, U. S. (2025) · Chemistry · doi:10.3390/chemistry7010007 · Cited by 6
“Furthermore it transports into cells by nucleoside transporters, where it Fludarabine phosphate (F-ara-AMP, 51 ) is the monophosphate prodrug of fl udara-bine (F-ara-A, 59 , Figure 7).”
Lucchetti, D., Rinaldi, R., Artemi, G., Salvia, R., Stefano, F. D., Scieuzo, C., Falabella, P., & Sgambato, A. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26051891 · Cited by 6
“New approaches that are able to tackle both the toxicity issues of chemotherapy and resistance are of primary relevance for CRC [35].”
Precision, Prediction and Progress: A New Era in Pharmacology
Singh, J. P., Gaur, V., & Dubey, P. (2025) · doi:10.38124/ijisrt/25apr1322 · Cited by 6
Application of the Adaptive Validation Substudy Design to Colorectal Cancer Recurrence
Collin, L. J., Riis, A. H., MacLehose, R. F., Ahern, T. P., Erichsen, R., Thorlacius‐Ussing, O., & Lash, T. L. (2020) · Clinical Epidemiology · doi:10.2147/clep.s230314 · Cited by 6
“Treatments for local or regional (stage I–III) disease include surgery alone or combinations of surgery, chemotherapy, and radiation therapy, with the intent of curing the patient of their disease.(12) Following curative treatment and an apparent disease-free period, a recurrence is a necessary preceding condition bef…”
Background
Metadata
- Authors
- Punt, C. J. A., Koopman, M., & Vermeulen, L.
- Affiliations
- Amsterdam UMC Location University of Amsterdam (NL)
- University Medical Center Utrecht (NL)
- Corresponding author
- Punt, Cornelis J. A.
- Venue
- Nature Reviews Clinical Oncology
- Published
- 2016-12-06
- Volume
- 14
- Issue
- 4
- Pages
- 235-246
- ISSN
- 1759-4774 (ISSN-L)
- 1759-4782
- OpenAlex
- W2560375214
- Cited by
- 654
- References
- 177
- Citations by year
- 2026: 38 · 2025: 41 · 2024: 87 · 2023: 79 · 2022: 88 · 2021: 96 · 2020: 83 · 2019: 57 · 2018: 56 · 2017: 28
- FWCI
- 4.73
- Type
- journal article
- Language
- en
- Open access
- green
- pure.amsterdamumc.nl
- Licence
- Locations
- Nature Reviews Clinical Oncology (publishedVersion)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- Utrecht University Repository (Utrecht University) (submittedVersion)
- Funders
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek
- Maag Lever Darm Stichting (MLDS-CDG 14-03)
- H2020 European Research Council (638193)
- Topics
- Health Sciences › Medicine › Oncology › Colorectal Cancer Treatments and Studies
- Health Sciences › Medicine › Pathology and Forensic Medicine › Genetic factors in colorectal cancer
- Health Sciences › Medicine › Oncology › Colorectal Cancer Surgical Treatments
- Keywords
- colorectal cancer, intratumoral heterogeneity, precision medicine, targeted therapy, gene expression profiling, tumor subtypes, prognostic factors, predictive biomarkers, RAS mutations, DNA mismatch repair, anti-EGFR therapy, adjuvant chemotherapy, next-generation sequencing
- MeSH terms
- Antineoplastic Combined Chemotherapy Protocols, Forecasting, Humans, Immunotherapy, Neoplasm Metastasis, Neoplasm Proteins, Neoplasm Staging, Prognosis, Quality of Health Care, Colorectal Neoplasms, Treatment Outcome, Genetic Heterogeneity, Therapies, Investigational, Proto-Oncogene Proteins B-raf, DNA Mismatch Repair, Early Detection of Cancer, Precision Medicine, Molecular Targeted Therapy
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