PIK3CA mutations confer resistance to first-line chemotherapy in colorectal cancer


Chemotherapy represents an important treatment option for colorectal cancer (CRC), but only half of the patients benefit from these regimens. We explored the potential predicting value and mechanism of PIK3CA mutation in CRC chemotherapy. CRC specimens from 440 patients were retrospectively collected and examined with a fluorescence PCR-based method. The correlation of first-line chemotherapy response and PIK3CA mutation was evaluated according to follow-up and medical records. The underlying mechanism of PIK3CA mutation in chemotherapy resistance was assessed with CRC tumors and primary cells. The mutation frequency of the PIK3CA gene in CRC patients was 9.55%, which was correlated with late TNM staging and lower histological grade. The CRC patients with PIK3A mutation showed worse response to first-line chemotherapy than those without PIK3CA mutation. PIK3A mutation tumor cells showed poor sensitivity to first-line chemotherapy in vitro and in vivo. PIK3CA mutation induced PI3K/Akt signaling activation to increase LGR5+ CRC stem cells survival and proliferation, from which lead to chemotherapy resistance. Furthermore, PIK3CA mutation/LGR5+ expression was an independent detrimental factor for CRC patients. Our findings indicated that PIK3CA mutation induced PI3K/Akt activation contributed to CRC stem cells survival and proliferation, from which cells further resistance to chemotherapy. PIK3CA mutation/LGR5+ expression was a potential biomarker for monitoring chemotherapy resistance in CRC.


As one of the most prevalent malignancies, colorectal cancer (CRC) displays an increasing incidence in the past decades, which ranks the forth common cancer worldwide and the second leading cause of cancer-related death nowadays1. Systemic chemotherapy is still the mainstay treatment besides surgery and local radiotherapy. The first-line chemotherapy, such as FOLFOX and FOLFORI2, was widely used in advanced CRC, but chemotherapy resistance occurred in a large number of patients3,4. The biomarkers for predicting and monitoring chemotherapy resistance were valuable in such first-line regimens application5,6.

Phosphatidylinositol-4,5-bisphosphate 3-kinase, catalytic subunit alpha (PIK3CA) is one of the most commonly mutated genes in CRC7,8,9. PIK3CA encodes the p110 catalytic subunit of PI3K, which is one of the crucial kinases in PI3K/Akt/mTOR signaling10,11. PIK3CA mutation hot spots are located at five sites in exons 9 and 2012, which activate PI3K/AKT signaling pathway to contribute to carcinogenesis, cellular growth, proliferation and survival of multiple solid tumors13,14,15,16,17,18. However, it’s still controversial of the correlation between PIK3CA mutations and prognosis of CRC patients19,20.

The impact of PIK3CA mutations on first-line chemotherapy regimens remains unclear. This retrospective study evaluated the chemotherapy response and PIK3CA mutations in patients with CRC in our hospital, as well as determined the potential role of PIK3CA mutations in chemotherapy resistance.


Correlation of PIK3CA mutations with clinicopathologic characteristics of CRC patients

Table 1 showed the baseline characteristics of the 440 CRC patients. The median age of the cohort was 59 years (range from 24 to 86 years). Male patients account for 61.59% (271/440), whereas 38.41% of female patients (169/440). Totally, 253 (57.50%) patients suffered from rectal cancer and 187 patients (42.50%) had colon cancer, including left-sided colorectal cancer (LCRC) in 104 patients (23.64%) and right-sided colon cancer (RCC) in 83 patients (18.86%). Histologically poor differentiated tumor was observed in 100 patients (22.73%), and lymph node metastasis was observed in 165 patients (37.50%). Totally, 203 patients (46.14%) were diagnosed as advanced CRC (TNM stage III–IV). The frequency of PIK3CA gene mutations in CRC patients was 9.55% (42/440). The mutated loci were mainly located on exon 9 (29/42, 69.05%), including E545K 50% (21/42), E542K 11.90% (5/42) and E545D 7.14% (3/42), respectively. Another 13 CRC patients had mutations on exon 20 (30.95%). The frequencies for H1047R and H1047L were 28.57% (12/42) and 2.38% (1/42), respectively.

Table 1 Baseline patient characteristics of the 440 colorectal patients

The correlation between PIK3CA mutation and clinicopathologic characteristics was analyzed in Table 2. Significant correlations were observed in PIK3CA mutation with histological grade and TNM stage (p < 0.001 and p = 0.034, respectively). PIK3CA mutation in tumor tissues was correlated with lower histological grade and late clinical stage. However, no significant correlation of PIK3CA mutation was shown with age, gender, ECOG scores, tumor location and lymph node metastasis (p > 0.05, respectively).

Table 2 Correlation of PIK3CA mutations with clinicopathological characteristics of CRC patients

PIK3CA mutation correlates with first-line chemotherapy resistance

All patients involved in this study received first-line chemotherapy regimens, which were FOLFOX and XELOX in 420 cases (95.68%, Table 1). Disease progression was observed in 47.05% (207/420) patients within 3 years after surgery, which was defined as non-effective to chemotherapy treatments. The patients resistant to first-line chemotherapy showed higher percentage of PIK3CA mutation than those effective (14.49 vs. 5.15%, p = 0.003. Fig. 1a). The patients with PIK3CA mutant tumor showed higher non-effective rate than the others (71.43 vs. 44.47%. Fig. 1b and Table 3). Furthermore, the patients with PIK3CA exon 9/20 wild-type and corresponding mutant-type tumors also showed significant differences in disease-progression rates (19.78%, p = 0.031; 38.71%, p = 0.006, respectively. Fig. 1b and Table 3). Meanwhile, elevated disease-progression rate in the patients with PIK3CA mutant tumors than whole cohort (24.38%, p = 0.003, Fig. 1b), which indicated a poor chemotherapy response in PIK3CA mutant CRC.

Fig. 1: The correlation between chemotherapy response and PIK3CA mutation status in CRC patients.

a The percentage of PIK3CA mutation in the patients effective and non-effective to first-line chemotherapy. *p < 0.05. b Chemotherapy rsponses among patients with wild-type, PIK3CA mutant, exon 9 mutant and exon 20 mutant tumors

Table 3 Chemotherapy response according to PIK3CA mutation status

PIK3CA mutation leads to chemotherapy resistance of CRC primary cells

Next, the effects of PIK3CA mutation on FOLFOX chemotherapy sensitivity were assessed in primary CRC cells. Two primary cells, CC-1 and CC-2, were in vitro cultured from ascites of advanced CRC patients (Supplemental Fig. 1a). CC-1 cells were observed with PIK3CA-H1047R mutation, whereas CC-2 was a PIK3CA wild-type cells. Western blot assays showed that PI3K/Akt signaling was universally activated in CC-1 cells compared to CC-2 (Fig. 2a). The application of perifosine (an AKT inhibitor)21 or LY294002 (a PI3K inhibitor) markedly attenuated PI3K/Akt signaling in CC-1 cells (Fig. 2a).

Fig. 2: PIK3CA mutation correlates with first-line chemotherapy resistance.

a Western blot analysis of pAkt, Akt and GAPDH (loading control) in primary CRC cells. b CC-1 and CC-2 cells were incubated with 5-Fu (25 µM) for 72 h. Cell viability was examined by the MTT assay. Results represent the mean ± S.E.M. of the values relative to vehicle controls; *P < 0.05. c CC-1 cells were incubated combined perifosine or LY294002 with 5-FU. Cell viability was examined by the MTT assay. The data are shown as means ± S.E.M. d Immunoblots showing caspase-3 and GAPDH (loading control) expression levels in CC-1 cells treated with perifosine or LY294002 combined with 5-Fu (1 μM) for 24 h, and in CC-2 cells. e The colorectal cancer cells (CC-1) were treated with perifosine, LY294002 or 5-Fu for 48 h and the cells were collected for apoptosis analysis by flow cytometry (n = 3). f In vivo tumorigenicity of CRC xenograft tumors treated with or without perifosine. The tumor growth was monitored every week until 6 weeks after injection. Data are shown as means ± S.E.M. *P < 0.05

Next, we tested whether PIK3CA mutation correlated with enhanced 5-FU chemotherapy resistance in primary cell lines. Our results showed higher IC50 of CC-1 cells to the treatment of 5-FU than PIK3CA-wild type CC-2 cells (IC50: 1.73 vs. 0.16 μM, p < 0.01, Fig. 2b). Importantly, when we combined perifosine or LY294002 with 5-FU, the IC50 of 5-FU treatment in CC-1 cells was significantly reduced (0.24 or 0.12 μM vs. 1.73 μM, p < 0.01, Fig. 2c). Western blotting assays also indicated that lower level of cleaved Caspase-3 protein expression in CC-1 than CC-2 with 1 μM 5-Fu treatment, and the combination with perifosine or LY294002 increased cleaved Caspase-3 expression (Fig. 2d). Decreased percentage of apoptosis cells in CC-1 was also showed in flow cytometry assays, whereas perifosine or LY294002 combination treatment restored the sensitivity to 5-FU (Fig. 2e and Supplemental Fig. 1b). Exogenous mutant PIK3CA expression was performed with HCT116, a colorectal cancer cell line (Supplemental Fig. 2a), which showed increased 5-FU chemotherapy resistance (Supplemental Fig. 2b). Perifosine or LY294002 treatment restored the sensitivity to 5-FU chemotherapy in HCT116-PIK3CA-H1047R cells (Supplemental Fig. 2c, d). Increased cell apoptosis was induced with perifosine or LY294002 treatment in PIK3CA-H1047R transfected cells (Supplemental Fig. 2e).

Furthermore, xenografts of CC-1 cells was planted in nude mice. Then, we treated with FOLFOX medium (25 µM 5-FU and 0.625 µM oxaliplatin) with or without perifosine. The xenografts showed significant chemotherapy resistance to FOLFOX alone, whereas significant tumor growth inhibition was observed when combined with PI3K/Akt inhibitor (Fig. 2f and Supplemental Fig. 1c, d). These data suggested that PIK3CA mutation was involved in first-line chemotherapy resistance in CRC. Moreover, PI3K/Akt signaling inhibitors can restore the efficacy of FOLFOX regimens.

PIK3CA mutation and PI3K/Akt signaling increases CRC stem cells survival

The failure of FOLFOX treatment against CRC is due to the enrichment of resistant cells, especially CRC stem cells22. Therefore, we further investigated the potential role of PI3K/Akt activation in CRC stem cells proliferation and survival. The PIK3CA-mutant cells, CC-1 showed increased sphere formation ability in primary and second generation of spherical cells (Fig. 3a and Supplemental Fig. 3a). Furthermore, perifosine or LY294002 treatment decreased the sphere numbers in a dose-dependent manner (Fig. 3b), which confirmed the PI3K/Akt pathway plays an important role in CRC stem cell survival. Simultaneously, higher percentage of LGR5-positive cells (CRC stem cells marker) was shown in CC-1 cells than CC-2 cells (Fig. 3c and Supplemental Fig. 3b). The qRT-PCR assays also indicated elevated expression of cancer stem cell markers in CC-1 cells than CC-2 cells (Fig. 3d).

Fig. 3: PIK3CA mutation related PI3K/Akt signaling increased CRC stem cell survival.

a Quantitative analysis of primary and secondary sphere formation by CC-1 and CC-2 cells. b Quantitative analysis of sphere formation by CRC cells treated with perifosine or LY294002. c Flow cytometry analysis of LGR5 expression in CC-1 and CC-2 cells. d qRT-PCR analysis of stem cell markers, CD133, C-MYC, LGR5, ALDH1A1, NANOG and CXCR4 genes expression in CC-1 and CC-2. e Immunoblots showing p-Akt, Akt, LGR5, C-myc and GAPDH (loading control) expression levels in PIK3CA mutant tumor tissue comparing with that without mutation. f Immunoblots showing p-Akt, Akt, LGR5, C-myc and GAPDH (loading control) expression levels in CC-1 cells treated with perifosine, LY294002 or BpV (phen) comparing with vehicle

To investigate the mechanisms of PIK3CA mutation on CRC stem cells, we determined the PI3K/Akt signaling pathway activation and CSC markers in CRC tumor tissues by western blotting. Increased pAkt levels were observed in PIK3CA mutant tumor tissues comparing with those wild type tumors (Fig. 3e). Meanwhile, the expression levels of LGR5 and c-myc were also increased in PIK3CA mutant tumor tissues comparing with wild type tumors (Fig. 3e) Further immunobloting analysis was also performed with CC-1 cells (Fig. 3f). The results showed that perifosine or LY294002 treatment inhibited PI3K/Akt signaling, and LGR5 and c-myc expression was also significantly decreased after treatment (Fig. 3f). However, treatment with bpV (phen)23, a PTEN inhibitor, did not cause significant decrease in LGR5 and c-myc expression (Fig. 3f). Altogether, these data suggest that PIK3CA mutation evokes CRC stem cell survival and proliferation, from which cells further resistance to chemotherapy. Moreover, PI3K/Akt signaling can be a potential target for FOLFOX-resistant CRC tumors, especially PIK3CA mutant tumors.

Prognostic Significance of PIK3CA mutation and LGR5 expression

Further analysis was performed for the prognostic significance of PIK3CA mutation and LGR5 expression. LGR5 levels were determined with IHC staining and German semi-quantitative scores system. LGR5-positive cells showed a heterogeneity location (Fig. 4a). Totally, 34% of patients were classified into LGR5-positive group.

Fig. 4: The prognostic value of PIK3CA mutation and LGR5+ in CRC patients.

a, b Kaplan–Meier analysis of the correlation between PIK3CA mutation and disease-free survival of 440 CRC patients from Jinan Military General Hospital. c Kaplan–Meier analysis of the correlation between PIK3CA mutation and overall survival of 440 CRC patients

The median follow-up period was 40.97 (4.17–125.47) months. Totally, 84 patients (19.09%) died by the latest follow-up. The median periods of overall survival (OS) and disease-free survival (DFS) were 38.37 and 32.65 months, respectively. Kaplan–Meier analysis showed a worse prognosis in OS and DFS in PIK3CA mutant/LGR5+ group than other patients (p < 0.001, respectively. Fig. 4b,c). Furthermore, worse prognosis was also observed in PIK3CA-exon 9 or exon 20 mutant groups than corresponding other patients (Supplemental Fig. 4a, b). Moreover, the prognostic value of PIK3CA was also validated in another cohort, which indicated poor prognosis of the patients with PIK3CA mutant tumor (Supplemental Fig. 4c). Univariate analysis revealed that PIK3CA mutation/LGR5+ was associated with a significantly shorter DFS and OS (HR = 3.308, 95% CI: 2.158–5.070, p < 0.001; HR = 2.275, 95% CI: 1.310–3.950, p = 0.004, respectively. Table 4). Multivariate analysis was also performed with baseline prognostic variables included age, gender, ECOG, PIK3CA, histological grade, clinical stage and lymph node metastasis, which indicated PIK3CA mutation/LGR5+ was a detrimental factor for both DFS and OS (HR = 3.148, 95% CI: 1.987–4.986, p < 0.001; HR = 2.221, 95% CI: 1.221–4.040, p = 0.009, respectively. Table 4). Moreover, our results also showed independent prognostic value of ECOG scores in both DFS and OS (HR = 2.308, 95% CI: 1.390–3.831, p = 0.001; HR = 2.924, 95% CI: 1.586–5.393, p = 0.001, respectively. Table 4).

Table 4 Univariate and Multivariate Analyses of Disease-Free Survival and Overall Survival according to PIK3CA mutant


Our study investigated the PIK3CA gene mutation and first-line chemotherapy resistance in CRC, which provide further insight in chemotherapy options. We provided evidences that PIK3CA mutation was correlated with lower histological grade, late clinical stage and poor prognosis. Notably, our data indicated PIK3CA mutation involved in chemotherapy resistance to first-line regimens. Sustained PI3K/Akt signaling which was induced by PIK3CA mutation enriched CRC stem cells, which contribute to chemotherapy resistance. PIK3CA mutation is a potential molecular biomarker for predicting and monitoring resistance to first-line chemotherapy regimens in CRC patients, which is also a potential target for chemotherapy resistant CRC tumors.

The protein product of the PIK3CA gene is the catalytic subunit, p110a, in class IA of PI3K24. Mutations of PIK3CA have been found in multiple malignant tumors, such as breast cancer25, endometrial cancer26 and bladder cancer27. Previous studies have reported that the frequency of PIK3CA mutation in CRC is 7%-32%8,28,29,30,31. Mutation hotspots are located on exons 9 and 20. Moreover, higher mutation frequency of BRAF and KRAS was also observed in PIK3CA mutant CRC as TCGA data and previous report29. In this study, exon 9 (E542K, E545K and E545D) and exon 20 (H1047R and H1047L) loci were examined via fluorescence PCR. Totally 9.55% of the CRC patients were observed with PIK3CA mutant tumors. Heterogeneity of PIK3CA mutations was observed among different studies19,20, but previous reports from China also showed slightly lower frequency of PIK3CA mutation32,33. Further analysis was still needed to assess the racial differences, and large cohorts study may be also necessary.

Mutation of PIK3CA leads to increased enzymatic activity of p110a and Akt signaling activation, lead to suppressed cellular apoptosis and enhanced cancer invasion34,35,36. Previous studies have supported worse prognosis in PIK3CA mutant CRC patients37,38,39. However, some previous reports showed no significant prognostic value, which was possibly correlated with different mutant site, patients’ race and ethnicity19. We provided further evidence with the analysis of correlation between PIK3CA mutation and clinicopathological characteristics. PIK3CA mutation was statistically correlated with late clinical stage and poor histological differentiation. Furthermore, PIK3CA mutation was a detrimental factor for CRC patients. The patients with PIK3CA mutant CRC showed significant worse prognosis. Collective data suggested a potential role of mutant PIK3CA in CRC progression40, which may be correlated with enhanced abnormal cell proliferation and invasive ability.

The chemotherapy of FOLFOX regimen is still the most common first-line treatment in advanced CRC according to clinical practice guidelines41. The regimen options are dependent on doctors’ experience, rather than evidence-based medicine. Our present study explored gene mutation biomarkers for chemotherapeutic options for better benefit. In our study, we explored PIK3CA mutation and chemotherapy response in CRC. The patients of chemotherapy resistance showed increased percentage of PIK3CA mutation. PIK3CA mutation tumors were observed with higher percentage of chemotherapy resistance, which can serve as a predicting biomarker for chemotherapy options. Therefore, multi-center double-blind randomized controlled trials with large samples are still required for further verification.

Accumulated reports supported the acquisition of stemness of cancer cells contributed to chemotherapy resistance42,43,44. Sustained PI3K/Akt signaling activation was critical for CRC stem cells enrichment45. Previous reports support PI3K/Akt/mTOR pathway is critical for the maintenance of colon cancer stem cells46. Our results have demonstrated that PIK3CA mutant induced sustain activation of PI3K/Akt signaling, from which enriched CRC stem cells. PI3K/Akt signaling inhibition attenuated the CSCs enrichment. Cancer stem cells is a sub-population of heterogeneous cancer cells, showing highly undifferentiated characteristics. LGR5 is considered as an important biomarker for CRC stem cells, which was involved in tumorigenesis and metastasis47,48. Given an important regulation mechanism, PI3K/Akt signaling was a potential target for eliminating CRC stem cells.

PIK3CA is a potential therapeutic target for various carcinoma treatments33. Idelalisib has been approved by the US Food and Drug Administration as the first PI3K inhibitor in cancer treatment49. There are also multiple of agents targeting PIK3CA in development49,50. Moreover, collective reports suggested that PIK3CA mutated CRC patients will benefit from Aspirin administration and radioembolization than wild type ones7,51. A detailed investigation of PIK3CA mutation in CRC progression will provide further information for improved routine practice, especially appropriate clinical use of PI3K inhibitors.

In conclusion, our work studied the PIK3CA mutation status in CRC specimens. PIK3CA mutation induced PI3K/Akt signaling contributed to the survival and proliferation of CRC stem cells, from which induced chemotherapy resistance and poor prognosis. More importantly, we indicated the potential value of PIK3CA mutation as predicting and monitoring biomarker for first-line chemotherapeutic resistance, which will contribute to better clinical regimen options for CRC.

Materials and methods

Patients and specimens

The retrospective study involved 440 consecutive CRC patients who were diagnosed and received surgical excision in Jinan Military General Hospital during the period from December 2006 to August 2012. The medical records were reviewed to obtain surgery information and chemotherapy regimens. All patients were administered with the first-line chemotherapy after surgical excision. The clinical data, treatment response and follow-up information of each patient were obtained by the medical records, telephone or written correspondence and death certificate. Clinicopathologic characteristics of all patients were listed in Table 1. Another CRC specimen cohort was collected from 2010 to 2017 in 401 Hospital, which was analyzed for prognostic value of PIK3CA mutation. Our study was reviewed and approved by the Ethics Committee in Jinan Military General Hospital and 401 Hospital. Criteria for treatment non-effective response were defined as recurrence, metastasis or death occurred within three years after first-line chemotherapy treatment.

Cell lines and cell cultures

Primary CRC cells CC-1/2 were obtained from the ascites of advanced colon cancer patients. HCT116 was obtained from ATCC. Cells were cultured in Dulbecco’s modified Eagle medium (DMEM; 4.5 g/L d-glucose) (Gibco, Grand island, NY) supplemented with 10% FBS and 1% antibiotic/antimycotic in tissue culture flasks in a humidified incubator at 37 °C in a humidified incubator with 5% CO2. The medium was changed two times a week and cells were passaged using 0.05% trypsin/EDTA. PIK3CA-H1047R plasmid was purchased form Addgene (#14572, Cambridge, MA, USA)52. HCT116 cell transfection was performed as previous report53. In some experiments, the cells were exposed to FOLFOX (25 µM 5-FU and 0.625 µM oxaliplatin) for 72 h. Perifosine (KRX-0401, Selleck Chemicals, USA), LY 294002 (BioVision, USA), bpV (phen) (BioVision, USA) were administrated as described.

DNA extraction and PIK3CA mutation analysis

Formalin-fixed paraffin-embedded (FFPE) materials of primary tumor tissues were collected for PIK3CA mutation analysis. Pathologists reviewed all FFPE specimens. Three sections, 10 µm in thickness, were prepared from each specimen. FFPE specimen DNA extraction kits-AmoyDx® DNA FFPE Tissue Kit (AmoyDx, China) were used according to the manufacturer’s protocols. The concentration and purity of extracted DNA were assessed by Nanodrop spectrophotometry (AmoyDx, China).

Mutations on PIK3CA exons 9 and 20 were detected with AmoyDx® PIK3CA Five Mutations Detection Kit (AmoyDx, China) with real-time PCR assays, which employed mutation-specific primers and a PIK3CA-targeted proprietary fluorescent probe to detect low-copy number (1%) PIK3CA-mutant DNA in tumor tissue. Mutation loci on exon 9 included E542K, E545K and E545D; mutation loci on exon 20 included H1047R and H1047L. All reactions proceeded in 20 µL volumes according to the manufacturer’s protocols with Mx3000PTM real-time PCR system (Agilent, Germany). The data were analyzed with Stratagene Mxpro software. Positive results of H1047L, E545K and E545D were defined as Ct <26, while H1047R and E542K were defined as Ct <25.

MTT assays

The survival of cells was determined by MTT (3-(4,5-Dimethylthiazol-2yl-)-2,5-diphenyl tetrazolium bromide) assay (C0009, Beyotime, China). In principle, the viable cell number is directly proportional to the purple formazan color of the reduced MTT dye, which can be quantitatively measured by spectrophotometry. Briefly, 3000 cells were plated in quadruplets in 96-well flat-bottom tissue culture plates. After treatment with compounds for certain periods as described in respective figure legends. In short, 10 μL of 10 mg/mL MTT solution was added to each well and incubated for 2 h at 37 °C. The developed color density was then measured spectrophotometrically at 570 nm using the spectrophotometer (Nanodrop, AmoyDx, China).

Apoptosis assays

CRC cells were seeded onto six-well plates at a density of 10 × 104 cells per well and treated with perifosine, LY294002 or 5-Fu. The cells were then incubated for 48 h and stained with FITC-conjugated Annexin V and propidium iodide (PI) using an Annexin V-FITC Apoptosis Detection kit (C1063, Beyotime, China) according to the manufacturer’s recommendation. Signals of FITC-conjugated Annexin V and PI were detected using a BD LSR II flow cytometer. The percentage of apoptotic cells was determined via flow cytometry. Data was presented as the mean ± S.E.M. from three independent experiments.

Spheroid formation assay

CRC cells were conduct with trypsin to single cell from adhere cultures. Next, CC-1/2 cells (1000 cells per well) were seeded in 24-well ultra-low attachment plates and maintained serum free DMEM/F12 medium supplemented with B27 (20 μl/ml, Life Technologies, Carlsbad, CA, USA) growth factor (EGF) (20 ng/ml, peproTech, Rocky Hill, NJ, USA), human recombinant fibroblast growth factor 2 (bFGF) (20 ng/ml, peproTech). Next day, cells were treated with or without perifosine (S1037, Selleckchem, Houston, TX, USA) or LY294002 (S1105, Selleckchem). Cells were incubated for 7 days and the number of spheroids were counted in control and treated groups under an Olympus inverted microscope with a 10 × magnification. The spheres > 100 µm were counted as tumor sphere-forming units.

Flow cytometry analyses

For determining the CRC stem cells, cells were cultured until 60% confluence. Cells were treated with 25 µM 5-FU for 24 h with or without 20 µM perifosine or LY294002 for an additional 8 h. After treatment, cells were harvested at different time intervals, washed with ice-cold PBS and processed for FACS analysis as described previously54. FITC-conjugated anti-CD133 (130-104-322, Miltenyi), FITC-conjugated anti-LGR5 (130-112-508, Miltenyi). Cells were subjected to flow cytometry analyses using a BD LSR II flow cytometer. The data were analyzed and presented using FlowJo software (Tree Star, Ashland, OR, USA).

Quantitative real-time PCR (qRT-PCR)

Total RNA was isolated from control and treated cells with RNAzol reagent (Invitogen, Carlsbad, CA, USA). The expression of mRNA levels of stemness genes were determined by qRT-PCR using Bio-Rad CFX96 Real Time System C1000 Thermal Cycler. The sequences of the specific primer for CD133, C-MYC, LGR5, ALDH1A1, NANOG, CXCR4 and GAPDH were described before54. The level of GAPDH mRNA was used as the internal control.

Western blot analysis

Fresh tumor tissues were frozen with liquid nitrogen and lysed with cell lysis buffer (Cell Signaling Technologies). Western blot analysis was conducted as previously described55. Primary antibodies were listed as follows: rabbit anti-human Akt monoclonal antibody (mAb) (#4691, 1:1000, Cell Signaling Technology, Danvers, MA), rabbit anti-human pAkt mAb (#4060, 1:1000, Cell Signaling Technology), rabbit anti-human GAPDH mAb (#5174, 1:1000, Cell Signaling Technology), rabbit anti-human caspase-3 (#9662, 1:1000, Cell Signaling Technology), rabbit anti-human c-myc polyclonal antibody (ab19312, 1:800, Abcam, Cambridge, UK), rabbit anti-human LGR5 mAb (ab75850, 1:800, Abcam), Rabbit anti-Flag mAb (#14793 Cell Signaling Technology). Secondary antibodies were HRP-labeled goat anti-rabbit IgG (H + L) (A0208, 1:5000, Beyotime).

Xenografts and perifosine treatment

Six-week-old male nude mice were subcutaneously injected with 1 × 106 of CRC cells in each left lateral flank of mice. The mice were randomly divided into two groups when bearing about 250 mm3 tumors. The mice were treated with: i. PBS and 5-Fu (20 mg/kg, i.p. every day); ii. 5-Fu (20 mg/kg) and Perifosine (2.5 mg/kg, i.p. every day). Five weeks later, tumors were harvested and weighed. Tumor volume was calculated using the formula: volume = length × width2 × 1/2. The animal experiments were approved by the Institutional Animal Care and Use Committee of the General Hospital of Jinan Military Command PLA, in accordance with the Guide for the Care and Use of Laboratory Animals.

Immunohistochemical staining (IHC)

IHC were performed as previous report53. Primary antibody against human LGR5 mAb (ab75850, Abcam) were applied for immunohistochemistry analysis. The IHC staining level was assessed with German semi-quantitative scoring system, described as previous report53.

Statistical analysis

All the data were analyzed with SPSS ver. 19.0. The correlation of PIK3CA mutation and clinicalpatholical variables were assessed using Fisher’s exact test. X-tile 3.6.1 software was used to determine the optimal cut-off values. PFS and OS were estimated with Kaplan–Meier analysis with log-rank test. Cox proportional hazards model was sued for univariate/multivariate analysis. Hazard ratios and their corresponding 95% confidence intervals were computed to provide quantitative information. All experiments were repeated at least three times and results were expressed as mean ± SEM. A P value of <0.05 was considered statistically significant.


  1. 1.

    Siegel, R. L., Miller, K. D. & Jemal, A. Cancer statistics, 2016. CA Cancer J. Clin. 66, 7–30 (2016).

    Article  PubMed  Google Scholar 

  2. 2.

    Marques, R. P. et al. Triplet (FOLFOXIRI) versus doublet (FOLFOX or FOLFIRI) backbone chemotherapy as first-line treatment of metastatic colorectal cancer: A systematic review and meta-analysis. Crit. Rev. Oncol. Hematol. 118, 54–62 (2017).

    Article  PubMed  Google Scholar 

  3. 3.

    Panczyk, M. Pharmacogenetics research on chemotherapy resistance in colorectal cancer over the last 20 years. World J. Gastroenterol. 20, 9775–9827 (2014).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  4. 4.

    Espersen, M. L., Olsen, J., Linnemann, D., Hogdall, E. & Troelsen, J. T. Clinical implications of intestinal stem cell markers in colorectal cancer. Clin. Colorectal Cancer 14, 63–71 (2015).

    Article  PubMed  Google Scholar 

  5. 5.

    Sepulveda, A. R. et al. Molecular biomarkers for the evaluation of colorectal cancer: guideline from the american society for clinical pathology, college of american pathologists, association for molecular pathology, and the american society of clinical oncology. J. Clin. Oncol. 35, 1453–1486 (2017).

    Article  PubMed  CAS  Google Scholar 

  6. 6.

    Kim, H. J. et al. Subcellular localization of FOXO3a as a potential biomarker of response to combined treatment with inhibitors of PI3K and autophagy in PIK3CA-mutant cancer cells. Oncotarget 8, 6608–6622 (2017).

    PubMed  Google Scholar 

  7. 7.

    Hamada, T., Nowak, J. A. & Ogino, S. PIK3CA mutation and colorectal cancer precision medicine. Oncotarget 8, 22305–22306 (2017).

    PubMed  PubMed Central  Google Scholar 

  8. 8.

    Samuels, Y. et al. High frequency of mutations of the PIK3CA gene in human cancers. Science 304, 554 (2004).

    Article  PubMed  CAS  Google Scholar 

  9. 9.

    Chiu, J. W. et al. Molecular profiling of patients with advanced colorectal cancer: princess margaret cancer centre experience. Clin. Colorectal Cancer https://doi.org/10.1016/j.clcc.2017.10.010 (2017).

  10. 10.

    Engelman, J. A., Luo, J. & Cantley, L. C. The evolution of phosphatidylinositol 3-kinases as regulators of growth and metabolism. Nat. Rev. Gene 7, 606–619 (2006).

    Article  CAS  Google Scholar 

  11. 11.

    Manning, B. D. & Cantley, L. C. AKT/PKB signaling: navigating downstream. Cell 129, 1261–1274 (2007).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  12. 12.

    Samuels, Y. et al. Mutant PIK3CA promotes cell growth and invasion of human cancer cells. Cancer Cell. 7, 561–573 (2005).

    Article  PubMed  CAS  Google Scholar 

  13. 13.

    Roper, J. et al. The dual PI3K/mTOR inhibitor NVP-BEZ235 induces tumor regression in a genetically engineered mouse model of PIK3CA wild-type colorectal cancer. PLoS ONE 6, e25132 (2011).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  14. 14.

    Zhou, Y. et al. Diagnostic accuracy of PIK3CA mutation detection by circulating free DNA in breast cancer: a meta-analysis of diagnostic test accuracy. PLoS ONE 11, e0158143 (2016).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  15. 15.

    Xu, J. M. et al. PIK3CA mutations contribute to acquired cetuximab resistance in patients with metastatic colorectal cancer. Clin. Cancer Res. 23, 4602–4616 (2017).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  16. 16.

    Wang, Z., Liu, Z., Fang, X. & Yang, H. MiR-142-5p suppresses tumorigenesis by targeting PIK3CA in non-small cell lung cancer. Cell. Physiol. Biochem. 43, 2505–2515 (2017).

    Article  PubMed  CAS  Google Scholar 

  17. 17.

    Karlsson, T. et al. Endometrial cancer cells exhibit high expression of p110beta and its selective inhibition induces variable responses on PI3K signaling, cell survival and proliferation. Oncotarget 8, 3881–3894 (2017).

    PubMed  Google Scholar 

  18. 18.

    Fang, D. D. et al. Antitumor efficacy of the dual PI3K/mTOR inhibitor PF-04691502 in a human xenograft tumor model derived from colorectal cancer stem cells harboring a PIK3CA mutation. PLoS ONE 8, e67258 (2013).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  19. 19.

    Mei, Z. B., Duan, C. Y., Li, C. B., Cui, L. & Ogino, S. Prognostic role of tumor PIK3CA mutation in colorectal cancer: a systematic review and meta-analysis. Ann. Oncol. 27, 1836–1848 (2016).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  20. 20.

    Paleari, L. et al. PIK3CA mutation, aspirin use after diagnosis and survival of colorectal cancer. a systematic review and meta-analysis of epidemiological studies. Clin. Oncol. (R. Coll. Radiol.) 28, 317–326 (2016).

    Article  CAS  Google Scholar 

  21. 21.

    Hideshima, T. et al. Perifosine, an oral bioactive novel alkylphospholipid, inhibits Akt and induces in vitro and in vivo cytotoxicity in human multiple myeloma cells. Blood 107, 4053–4062 (2006).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  22. 22.

    Frank, N. Y., Schatton, T. & Frank, M. H. The therapeutic promise of the cancer stem cell concept. J. Clin. Invest. 120, 41–50 (2010).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  23. 23.

    Rumora, L., Barisic, K., Maysinger, D. & Zanic Grubisic, T. BpV (phen) induces apoptosis of RINm5F cells by modulation of MAPKs and MKP-1. Biochem. Biophys. Res. Commun. 300, 877–883 (2003).

    Article  PubMed  CAS  Google Scholar 

  24. 24.

    Estilo, C. L. et al. The role of novel oncogenes squamous cell carcinoma-related oncogene and phosphatidylinositol 3-kinase p110alpha in squamous cell carcinoma of the oral tongue. Clin. Cancer Res. 9, 2300–2306 (2003).

    PubMed  CAS  Google Scholar 

  25. 25.

    Kim, J. Y. et al. Clinical implications of genomic profiles in metastatic breast cancer with a focus on TP53 and PIK3CA, the most frequently mutated genes. Oncotarget 8, 27997–28007 (2017).

    PubMed  PubMed Central  Google Scholar 

  26. 26.

    Mjos, S. et al. PIK3CA exon9 mutations associate with reduced survival, and are highly concordant between matching primary tumors and metastases in endometrial cancer. Sci. Rep. 7, 10240 (2017).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  27. 27.

    Christensen, E. et al. Liquid biopsy analysis of FGFR3 and PIK3CA hotspot mutations for disease surveillance in bladder cancer. Eur. Urol. 71, 961–969 (2017).

    Article  PubMed  CAS  Google Scholar 

  28. 28.

    Liao, X. et al. Prognostic role of PIK3CA mutation in colorectal cancer: cohort study and literature review. Clin. Cancer Res. 18, 2257–2268 (2012).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  29. 29.

    Velho, S. et al. BRAF, KRAS and PIK3CA mutations in colorectal serrated polyps and cancer: primary or secondary genetic events in colorectal carcinogenesis? BMC Cancer 8, 255 (2008).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  30. 30.

    Day, F. L. et al. PIK3CA and PTEN gene and exon mutation-specific clinicopathologic and molecular associations in colorectal cancer. Clin. Cancer Res. 19, 3285–3296 (2013).

    Article  PubMed  CAS  Google Scholar 

  31. 31.

    Perrone, F. et al. PI3KCA/PTEN deregulation contributes to impaired responses to cetuximab in metastatic colorectal cancer patients. Ann. Oncol. 20, 84–90 (2009).

    Article  PubMed  CAS  Google Scholar 

  32. 32.

    Chen, J. et al. BRAF V600E mutation and KRAS codon 13 mutations predict poor survival in Chinese colorectal cancer patients. BMC Cancer 14, 802 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  33. 33.

    Mao, C. et al. KRAS, BRAF and PIK3CA mutations and the loss of PTEN expression in Chinese patients with colorectal cancer. PLoS ONE 7, e36653 (2012).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  34. 34.

    Ligresti, G. et al. PIK3CA mutations in human solid tumors: role in sensitivity to various therapeutic approaches. Cell Cycle 8, 1352–1358 (2009).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  35. 35.

    Asati, V., Bharti, S. K., Mahapatra, D. K., Asati, V. & Budhwani, A. K. Triggering PIK3CA mutations in PI3K/Akt/mTOR axis: exploration of newer inhibitors and rational preventive strategies. Curr. Pharm. Des. 22, 6039–6054 (2016).

    Article  PubMed  CAS  Google Scholar 

  36. 36.

    Ge, S., Wang, D., Kong, Q., Gao, W. & Sun, J. Function of miR-152 as a tumor suppressor in human breast cancer by targeting PIK3CA. Oncol. Res. 25, 1363–1371 (2017).

    Article  PubMed  Google Scholar 

  37. 37.

    Barault, L. et al. Mutations in the RAS-MAPK, PI(3)K (phosphatidylinositol-3-OH kinase) signaling network correlate with poor survival in a population-based series of colon cancers. Int. J. Cancer 122, 2255–2259 (2008).

    Article  PubMed  CAS  Google Scholar 

  38. 38.

    Martinelli, E. et al. Clinical outcome and molecular characterisation of chemorefractory metastatic colorectal cancer patients with long-term efficacy of regorafenib treatment. ESMO Open 2, e000177 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  39. 39.

    Souglakos, J. et al. Prognostic and predictive value of common mutations for treatment response and survival in patients with metastatic colorectal cancer. Br. J. Cancer 101, 465–472 (2009).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  40. 40.

    Wu, S. J. et al. PIK3CA mutation is associated with poor survival among patients with metastatic colorectal cancer following anti-EGFR monoclonal antibody therapy: a meta-analysis. J. Cancer Res Clin. 139, 891–900 (2013).

    Article  CAS  Google Scholar 

  41. 41.

    Lutz, M. P. et al. 3rd St. Gallen EORTC gastrointestinal cancer conference: consensus recommendations on controversial issues in the primary treatment of pancreatic cancer. Eur. J. Cancer 79, 41–49 (2017).

    Article  PubMed  Google Scholar 

  42. 42.

    Liu, Y. S., Hsu, H. C., Tseng, K. C., Chen, H. C. & Chen, S. J. Lgr5 promotes cancer stemness and confers chemoresistance through ABCB1 in colorectal cancer. Biomed. Pharmacother. 67, 791–799 (2013).

    Article  PubMed  CAS  Google Scholar 

  43. 43.

    Kinugasa, Y., Matsui, T. & Takakura, N. CD44 expressed on cancer-associated fibroblasts is a functional molecule supporting the stemness and drug resistance of malignant cancer cells in the tumor microenvironment. Stem Cells 32, 145–156 (2014).

    Article  PubMed  CAS  Google Scholar 

  44. 44.

    Seguin, L. et al. An integrin beta(3)-KRAS-RalB complex drives tumour stemness and resistance to EGFR inhibition. Nat. Cell Biol. 16, 457–468 (2014).

  45. 45.

    Malkomes, P. et al. Selective AKT inhibition by MK-2206 represses colorectal cancer-initiating stem cells. Ann. Surg. Oncol. 23, 2849–2857 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  46. 46.

    Cai, Z. R. et al. Significance of mTOR signaling and its inhibitor against cancer stem-like cells in colorectal cancer. Ann. Surg. Oncol. 21, 179–188 (2014).

    Article  PubMed  Google Scholar 

  47. 47.

    Chen, X. et al. LGR5 is required for the maintenance of spheroid-derived colon cancer stem cells. Int. J. Mol. Med. 34, 35–42 (2014).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  48. 48.

    Kobayashi, S. et al. LGR5-positive colon cancer stem cells interconvert with drug-resistant LGR5-negative cells and are capable of tumor reconstitution. Stem Cells 30, 2631–2644 (2012).

    Article  PubMed  CAS  Google Scholar 

  49. 49.

    Greenwell, I. B., Ip, A. & Cohen, J. B. PI3K inhibitors: understanding toxicity mechanisms and management. Oncol. (Williston Park) 31, 821–828 (2017).

    Google Scholar 

  50. 50.

    Ma, C. X. et al. A phase ii trial of neoadjuvant MK-2206, an AKT inhibitor, with anastrozole in clinical stage II or III PIK3CA-mutant ER-positive and HER2-negative breast cancer. Clin. Cancer Res. 23, 6823–6832 (2017).

    Article  PubMed  CAS  Google Scholar 

  51. 51.

    Gray, R. T. et al. Evaluation of PTGS2 expression, PIK3CA mutation, aspirin use and colon cancer survival in a population-based cohort study. Clin. Transl. Gastroenterol. 8, e91 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  52. 52.

    Isakoff, S. J. et al. Breast cancer-associated PIK3CA mutations are oncogenic in mammary epithelial cells. Cancer Res. 65, 10992–11000 (2005).

    Article  PubMed  CAS  Google Scholar 

  53. 53.

    Wang, Q. et al. High ERalpha36 expression level and membrane location predict poor prognosis in renal cell carcinoma. Medicine 94, e1048 (2015).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  54. 54.

    Wang, B. et al. Metastatic consequences of immune escape from NK cell cytotoxicity by human breast cancer stem cells. Cancer Res. 74, 5746–5757 (2014).

    Article  PubMed  CAS  Google Scholar 

  55. 55.

    Wang, L. et al. MED12 methylation by CARM1 sensitizes human breast cancer cells to chemotherapy drugs. Sci. Adv. 1, e1500463 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

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The authors would like to thank the staff who managed patients on the ward and provided detailed medical documents. This work was supported by National Natural Science Foundation of China (81502283) and Shinan District of Science and Technology Plan Item 2016-3-020-YY.

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Q.W., L.-L.W. and H.-L.C. performed the gene mutation testing. Y.-L.S., S.-W.Z., T.-T.S. and J.W.B. evaluated the treatment response. Q.W. and J.B. analyzed the clinical data and wrote the original manuscript. Q.W., K.Z., Z.-X.Y., Y.-L.L. and Q.-H.M. performed the experiments. Q.W., K.Z. and J.B. contributed to editing the manuscript. All authors approved the final version.

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Correspondence to Jingwang Bi.

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Co-First Authors: Qiang Wang, Yan-long Shi, Kai Zhou.

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Wang, Q., Shi, Y., Zhou, K. et al. PIK3CA mutations confer resistance to first-line chemotherapy in colorectal cancer. Cell Death Dis 9, 739 (2018). https://doi.org/10.1038/s41419-018-0776-6

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